2024
Ian Fuelscher Kaila M Bianco, Jarrad AG Lum
Procedural learning is associated with microstructure of basal ganglia-cerebellar circuitry in children Journal Article
In: Brain and Cognition, vol. 180, 2024.
@article{nokey,
title = {Procedural learning is associated with microstructure of basal ganglia-cerebellar circuitry in children},
author = {Kaila M Bianco, Ian Fuelscher, Jarrad AG Lum, Mervyn Singh, Pamela Barhoun, Timothy J Silk, Karen Caeyenberghs, Jacqueline Williams, Peter G Enticott, Mugdha Mukherjee, Gayatri Kumar, Jessica Waugh, Christian Hyde},
year = {2024},
date = {2024-10-01},
journal = {Brain and Cognition},
volume = {180},
abstract = {In adults, individual differences in procedural learning (PL) are associated with white matter organization within the basal ganglia-cerebellar circuit. However, no research has examined whether this circuitry is related to individual differences in PL during childhood. Here, 28 children (Mage = 10.00 ± 2.31, 10 female) completed the serial reaction time (SRT) task to measure PL, and underwent structural magnetic resonance imaging (MRI). Fixel-Based Analysis was performed to extract specific measures of white matter fiber density (FD) and fiber cross-section (FC) from the superior cerebellar peduncles (SCP) and the striatal premotor tracts (STPMT), which underlie the fronto-basal ganglia-cerebellar system. These fixel metrics were correlated with the ‘rebound effect’ from the SRT task – a measure of PL proficiency which compares reaction times associated with generating a sequence, to random trials. While no …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In adults, individual differences in procedural learning (PL) are associated with white matter organization within the basal ganglia-cerebellar circuit. However, no research has examined whether this circuitry is related to individual differences in PL during childhood. Here, 28 children (Mage = 10.00 ± 2.31, 10 female) completed the serial reaction time (SRT) task to measure PL, and underwent structural magnetic resonance imaging (MRI). Fixel-Based Analysis was performed to extract specific measures of white matter fiber density (FD) and fiber cross-section (FC) from the superior cerebellar peduncles (SCP) and the striatal premotor tracts (STPMT), which underlie the fronto-basal ganglia-cerebellar system. These fixel metrics were correlated with the ‘rebound effect’ from the SRT task – a measure of PL proficiency which compares reaction times associated with generating a sequence, to random trials. While no …
Sarah C Hellewell Matthew K Bagg, Jemma Keeves
The Australian Traumatic Brain Injury Initiative: systematic review of predictive value of biological markers for people with moderate-severe traumatic brain injury Journal Article
In: Journal of neurotrauma, 2024.
@article{nokey,
title = {The Australian Traumatic Brain Injury Initiative: systematic review of predictive value of biological markers for people with moderate-severe traumatic brain injury},
author = {Matthew K Bagg, Sarah C Hellewell, Jemma Keeves, Ana Antonic-Baker, Ancelin McKimmie, Amelia J Hicks, Adelle Gadowski, Virginia FJ Newcombe, Karen M Barlow, Zsolt J Balogh, Jason P Ross, Meng Law, Karen Caeyenberghs, Paul M Parizel, Jacinta Thorne, Melissa Papini, Geena Gill, Amanda Jefferson, Jennie L Ponsford, Natasha A Lannin, Terence J O'Brien, Peter A Cameron, D Jamie Cooper, Nick Rushworth, Belinda J Gabbe, Melinda Fitzgerald, AUS-TBI Initiative Investigators***},
year = {2024},
date = {2024-08-03},
journal = {Journal of neurotrauma},
abstract = {The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to co-design a data resource to predict outcomes for people with moderate-severe traumatic brain injury (TBI) across Australia. Fundamental to this resource is the data dictionary, which is an ontology of data items. Here, we report the systematic review and consensus process for inclusion of biological markers in the data dictionary. Standardized database searches were implemented from inception through April 2022. English-language studies evaluating association between a fluid, tissue, or imaging marker and any clinical outcome in at least 10 patients with moderate-severe TBI were included. Records were screened using a prioritization algorithm and saturation threshold in Research Screener. Full-length records were then screened in Covidence. A pre-defined algorithm was used to assign a judgement of predictive value to each observed …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to co-design a data resource to predict outcomes for people with moderate-severe traumatic brain injury (TBI) across Australia. Fundamental to this resource is the data dictionary, which is an ontology of data items. Here, we report the systematic review and consensus process for inclusion of biological markers in the data dictionary. Standardized database searches were implemented from inception through April 2022. English-language studies evaluating association between a fluid, tissue, or imaging marker and any clinical outcome in at least 10 patients with moderate-severe TBI were included. Records were screened using a prioritization algorithm and saturation threshold in Research Screener. Full-length records were then screened in Covidence. A pre-defined algorithm was used to assign a judgement of predictive value to each observed …
Spencer W Liebel Eamonn Kennedy, Hannah M Lindsey
Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis Journal Article
In: Brain sciences, vol. 14, iss. 7, 2024.
@article{nokey,
title = {Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis},
author = {
Eamonn Kennedy, Spencer W Liebel, Hannah M Lindsey, Shashank Vadlamani, Pui-Wa Lei, Maheen M Adamson, Martin Alda, Silvia Alonso-Lana, Tim J Anderson, Celso Arango, Robert F Asarnow, Mihai Avram, Rosa Ayesa-Arriola, Talin Babikian, Nerisa Banaj, Laura J Bird, Stefan Borgwardt, Amy Brodtmann, Katharina Brosch, Karen Caeyenberghs, Vince D Calhoun, Nancy D Chiaravalloti, David X Cifu, Benedicto Crespo-Facorro, John C Dalrymple-Alford, Kristen Dams-O’Connor, Udo Dannlowski, David Darby, Nicholas Davenport, John DeLuca, Covadonga M Diaz-Caneja, Seth G Disner, Ekaterina Dobryakova, Stefan Ehrlich, Carrie Esopenko, Fabio Ferrarelli, Lea E Frank, Carol E Franz, Paola Fuentes-Claramonte, Helen Genova, Christopher C Giza, Janik Goltermann, Dominik Grotegerd, Marius Gruber, Alfonso Gutierrez-Zotes, Minji Ha, Jan Haavik, Charles Hinkin, Kristen R Hoskinson, Daniela Hubl, Andrei Irimia, Andreas Jansen, Michael Kaess, Xiaojian Kang, Kimbra Kenney, Barbora Keřková, Mohamed Salah Khlif, Minah Kim, Jochen Kindler, Tilo Kircher, Karolina Knížková, Knut K Kolskår, Denise Krch, William S Kremen, Taylor Kuhn, Veena Kumari, Junsoo Kwon, Roberto Langella, Sarah Laskowitz, Jungha Lee, Jean Lengenfelder, Victoria Liou-Johnson, Sara M Lippa, Marianne Løvstad, Astri J Lundervold, Cassandra Marotta, Craig A Marquardt, Paulo Mattos, Ahmad Mayeli, Carrie R McDonald, Susanne Meinert, Tracy R Melzer, Jessica Merchán-Naranjo, Chantal Michel, Rajendra A Morey, Benson Mwangi, Daniel J Myall, Igor Nenadić, Mary R Newsome, Abraham Nunes, Terence O’Brien, Viola Oertel, John Ollinger, Alexander Olsen, Victor Ortiz García de la Foz, Mustafa Ozmen, Heath Pardoe, Marise Parent, Fabrizio Piras, Federica Piras, Edith Pomarol-Clotet, Jonathan Repple, Geneviève Richard, Jonathan Rodriguez, Mabel Rodriguez, Kelly Rootes-Murdy, Jared Rowland, Nicholas P Ryan, Raymond Salvador, Anne-Marthe Sanders, Andre Schmidt, Jair C Soares, Gianfranco Spalleta, Filip Španiel, Scott R Sponheim, Alena Stasenko, Frederike Stein, Benjamin Straube, April Thames, Florian Thomas-Odenthal, Sophia I Thomopoulos, Erin B Tone, Ivan Torres, Maya Troyanskaya, Jessica A Turner, Kristine M Ulrichsen, Guillermo Umpierrez, Daniela Vecchio, Elisabet Vilella, Lucy Vivash, William C Walker, Emilio Werden, Lars T Westlye, Krista Wild, Adrian Wroblewski, Mon-Ju Wu, Glenn R Wylie, Lakshmi N Yatham, Giovana B Zunta-Soares, Paul M Thompson, Mary Jo Pugh, David F Tate, Frank G Hillary, Elisabeth A Wilde, Emily L Dennis},
year = {2024},
date = {2024-06-29},
journal = {Brain sciences},
volume = {14},
issue = {7},
abstract = {Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15–90. The effects of dementia, mild cognitive impairment, Parkinson’s disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals. Random forest models identified age, years of education, and site as important VLM covariates. A Bayesian harmonization approach was used to isolate and remove site effects. Regression estimated the adjusted association of each clinical group with VLM scores. Memory deficits were strongly associated with dementia and schizophrenia (p < 0.001), while neither depression nor ADHD showed consistent associations with VLM scores (p > 0.05). Differences associated with clinical conditions were larger for longer delayed recall duration items. By comparing VLM across clinical conditions, this study provides a foundation for enhanced diagnostic precision and offers new insights into disease management of comorbid disorders.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15–90. The effects of dementia, mild cognitive impairment, Parkinson’s disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals. Random forest models identified age, years of education, and site as important VLM covariates. A Bayesian harmonization approach was used to isolate and remove site effects. Regression estimated the adjusted association of each clinical group with VLM scores. Memory deficits were strongly associated with dementia and schizophrenia (p < 0.001), while neither depression nor ADHD showed consistent associations with VLM scores (p > 0.05). Differences associated with clinical conditions were larger for longer delayed recall duration items. By comparing VLM across clinical conditions, this study provides a foundation for enhanced diagnostic precision and offers new insights into disease management of comorbid disorders.
Christian Hyde Mugdha Mukherjee, Pamela Barhoun
White matter organisation of sensorimotor tracts is associated with motor imagery in childhood Journal Article
In: Brain Structure and Function, 2024.
@article{nokey,
title = {White matter organisation of sensorimotor tracts is associated with motor imagery in childhood},
author = {Mugdha Mukherjee, Christian Hyde, Pamela Barhoun, Kaila M Bianco, Mervyn Singh, Jessica Waugh, Timothy J Silk, Jarrad AG Lum, Karen Caeyenberghs, Jacqueline Williams, Peter G Enticott, Ian Fuelscher},
year = {2024},
date = {2024-06-25},
journal = {Brain Structure and Function},
abstract = {Despite the important role of motor imagery (MI) in motor development, our understanding of the contribution of white matter fibre properties to MI performance in childhood remains limited. To provide novel insight into the white matter correlates of MI performance, this study examined the association between white matter fibre properties and motor imagery performance in a sample of typically developing children. High angular diffusion weighted imaging data were collected from 22 typically developing children aged 6–14 years (12 female, MAge= 10.56). Implicit motor imagery performance was assessed using a mental hand rotation paradigm. The cerebellar peduncles and the superior longitudinal fasciculus were reconstructed using TractSeg, a semi-automated method. For each tract, white matter microstructure (fibre density, FD) and morphology (fibre bundle cross-section, FC) were estimated using Fixel-Based …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Despite the important role of motor imagery (MI) in motor development, our understanding of the contribution of white matter fibre properties to MI performance in childhood remains limited. To provide novel insight into the white matter correlates of MI performance, this study examined the association between white matter fibre properties and motor imagery performance in a sample of typically developing children. High angular diffusion weighted imaging data were collected from 22 typically developing children aged 6–14 years (12 female, MAge= 10.56). Implicit motor imagery performance was assessed using a mental hand rotation paradigm. The cerebellar peduncles and the superior longitudinal fasciculus were reconstructed using TractSeg, a semi-automated method. For each tract, white matter microstructure (fibre density, FD) and morphology (fibre bundle cross-section, FC) were estimated using Fixel-Based …
Samantha Vervoordt Emily L Dennis, Maheen M Adamson
Accelerated Aging after Traumatic Brain Injury: An ENIGMA Multi‐Cohort Mega‐Analysis Journal Article
In: Annals of neurology, 2024.
@article{nokey,
title = {Accelerated Aging after Traumatic Brain Injury: An ENIGMA Multi‐Cohort Mega‐Analysis},
author = {Emily L Dennis, Samantha Vervoordt, Maheen M Adamson, Amiri Houshang, Erin D Bigler, Karen Caeyenberghs, James H Cole, Kristen Dams‐O'Connor, Evelyn M Deutscher, Ekaterina Dobryakova, Helen M Genova, Jordan H Grafman, Asta K Håberg, Torgeir Hellstrøm, Andrei Irimia, Vassilis E Koliatsos, Hannah M Lindsey, Abigail Livny, David K Menon, Tricia L Merkley, Abdalla Z Mohamed, Stefania Mondello, Martin M Monti, Virginia FJ Newcombe, Mary R Newsome, Jennie Ponsford, Amanda Rabinowitz, Hanne Smevik, Gershon Spitz, Umesh M Venkatesan, Lars T Westlye, Ross Zafonte, Paul M Thompson, Elisabeth A Wilde, Alexander Olsen, Frank G Hillary},
year = {2024},
date = {2024-06-07},
journal = {Annals of neurology},
abstract = {The long‐term consequences of traumatic brain injury (TBI) on brain structure remain uncertain. Given evidence that a single significant brain injury event increases the risk of dementia, brain‐age estimation could provide a novel and efficient indexing of the long‐term consequences of TBI. Brain‐age procedures use predictive modeling to calculate brain‐age scores for an individual using structural magnetic resonance imaging (MRI) data. Complicated mild, moderate, and severe TBI (cmsTBI) is associated with a higher predicted age difference (PAD), but the progression of PAD over time remains unclear. We sought to examine whether PAD increases as a function of time since injury (TSI) and if injury severity and sex interacted to influence this progression.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The long‐term consequences of traumatic brain injury (TBI) on brain structure remain uncertain. Given evidence that a single significant brain injury event increases the risk of dementia, brain‐age estimation could provide a novel and efficient indexing of the long‐term consequences of TBI. Brain‐age procedures use predictive modeling to calculate brain‐age scores for an individual using structural magnetic resonance imaging (MRI) data. Complicated mild, moderate, and severe TBI (cmsTBI) is associated with a higher predicted age difference (PAD), but the progression of PAD over time remains unclear. We sought to examine whether PAD increases as a function of time since injury (TSI) and if injury severity and sex interacted to influence this progression.
Pamela Barhoun Kaila M Bianco, Jarrad AG Lum
Atypical procedural learning in children with developmental coordination disorder: A combined behavioral and neuroimaging study Journal Article
In: Brain and Cognition, vol. 177, 2024.
@article{nokey,
title = {Atypical procedural learning in children with developmental coordination disorder: A combined behavioral and neuroimaging study},
author = {Kaila M Bianco, Pamela Barhoun, Jarrad AG Lum, Ian Fuelscher, Peter G Enticott, Jacqueline Williams, Timothy J Silk, Karen Caeyenberghs, Christian Hyde},
year = {2024},
date = {2024-06-01},
journal = {Brain and Cognition},
volume = {177},
abstract = {While procedural learning (PL) has been implicated in delayed motor skill observed in developmental coordination disorder (DCD), few studies have considered the impact of co-occurring attentional problems. Furthermore, the neurostructural basis of PL in children remains unclear. We investigated PL in children with DCD while controlling for inattention symptoms, and examined the role of fronto-basal ganglia-cerebellar morphology in PL. Fifty-nine children (6–14 years; nDCD = 19, ncontrol = 40) completed the serial reaction time (SRT) task to measure PL. The Attention-Deficit Hyperactivity Disorder Rating Scale-IV was administered to measure inattention symptoms. Structural T1 images were acquired for a subset of participants (nDCD = 10, ncontrol = 28), and processed using FreeSurfer. Volume was extracted for the cerebellum, basal ganglia, and frontal regions. After controlling for inattention symptoms, the …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
While procedural learning (PL) has been implicated in delayed motor skill observed in developmental coordination disorder (DCD), few studies have considered the impact of co-occurring attentional problems. Furthermore, the neurostructural basis of PL in children remains unclear. We investigated PL in children with DCD while controlling for inattention symptoms, and examined the role of fronto-basal ganglia-cerebellar morphology in PL. Fifty-nine children (6–14 years; nDCD = 19, ncontrol = 40) completed the serial reaction time (SRT) task to measure PL. The Attention-Deficit Hyperactivity Disorder Rating Scale-IV was administered to measure inattention symptoms. Structural T1 images were acquired for a subset of participants (nDCD = 10, ncontrol = 28), and processed using FreeSurfer. Volume was extracted for the cerebellum, basal ganglia, and frontal regions. After controlling for inattention symptoms, the …
Nicola de Souza Carrie Esopenko, Juan Dominguez D
ENIGMAs simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury. Journal Article
In: Neuroimage: Clinical, vol. 42, 2024.
@article{nokey,
title = {ENIGMAs simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury.},
author = {Carrie Esopenko, Nicola de Souza, Juan Dominguez D, Mary Newsome, Ekaterina Dobryakova, Andrew Cwiek, Hollie Mullin, Nicholas Kim, Andrew Mayer, Maheen Adamson, Kevin Bickart, Katherine Breedlove, Emily Dennis, Seth Disner, Courtney Haswell, Cooper Hodges, Kristen Hoskinson, Paula Johnson, Marsh Königs, Lucia Li, Spencer Liebel, Abigail Livny, Rajendra Morey, Alexandra Muir, Alexander Olsen, Adeel Razi, Matthew Su, David Tate, Carmen Velez, Elisabeth Wilde, Brandon Zielinski, Paul Thompson, Frank Hillary, Karen Caeyenberghs, Phoebe Imms, Andrei Irimia, Martin Monti},
year = {2024},
date = {2024-05-03},
journal = {Neuroimage: Clinical},
volume = {42},
abstract = {Resting state functional magnetic resonance imaging (rsfMRI) provides researchers and clinicians with a powerful tool to examine functional connectivity across large-scale brain networks, with ever-increasing applications to the study of neurological disorders, such as traumatic brain injury (TBI). While rsfMRI holds unparalleled promise in systems neurosciences, its acquisition and analytical methodology across research groups is variable, resulting in a literature that is challenging to integrate and interpret. The focus of this narrative review is to address the primary methodological issues including investigator decision points in the application of rsfMRI to study the consequences of TBI. As part of the ENIGMA Brain Injury working group, we have collaborated to identify a minimum set of recommendations that are designed to produce results that are reliable, harmonizable, and reproducible for the TBI imaging research community. Part one of this review provides the results of a literature search of current rsfMRI studies of TBI, highlighting key design considerations and data processing pipelines. Part two outlines seven data acquisition, processing, and analysis recommendations with the goal of maximizing study reliability and between-site comparability, while preserving investigator autonomy. Part three summarizes new directions and opportunities for future rsfMRI studies in TBI patients. The goal is to galvanize the TBI community to gain consensus for a set of rigorous and reproducible methods, and to increase analytical transparency and data sharing to address the reproducibility crisis in the field.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Resting state functional magnetic resonance imaging (rsfMRI) provides researchers and clinicians with a powerful tool to examine functional connectivity across large-scale brain networks, with ever-increasing applications to the study of neurological disorders, such as traumatic brain injury (TBI). While rsfMRI holds unparalleled promise in systems neurosciences, its acquisition and analytical methodology across research groups is variable, resulting in a literature that is challenging to integrate and interpret. The focus of this narrative review is to address the primary methodological issues including investigator decision points in the application of rsfMRI to study the consequences of TBI. As part of the ENIGMA Brain Injury working group, we have collaborated to identify a minimum set of recommendations that are designed to produce results that are reliable, harmonizable, and reproducible for the TBI imaging research community. Part one of this review provides the results of a literature search of current rsfMRI studies of TBI, highlighting key design considerations and data processing pipelines. Part two outlines seven data acquisition, processing, and analysis recommendations with the goal of maximizing study reliability and between-site comparability, while preserving investigator autonomy. Part three summarizes new directions and opportunities for future rsfMRI studies in TBI patients. The goal is to galvanize the TBI community to gain consensus for a set of rigorous and reproducible methods, and to increase analytical transparency and data sharing to address the reproducibility crisis in the field.
Heather J Green Priscilla Gates, Karla Gough
Web-based cognitive rehabilitation intervention for cancer-related cognitive impairment following chemotherapy for aggressive lymphoma: protocol for a randomised pilot trial Bachelor Thesis
2024.
@bachelorthesis{nokey,
title = {Web-based cognitive rehabilitation intervention for cancer-related cognitive impairment following chemotherapy for aggressive lymphoma: protocol for a randomised pilot trial},
author = {Priscilla Gates, Heather J Green, Karla Gough, Haryana Dhillon, Janette L Vardy, Michael Dickinson, Jade Guarnera, Meinir Krishnasamy, Patricia M Livingston, Victoria White, Anna Ugalde, Karen Caeyenberghs},
year = {2024},
date = {2024-04-01},
journal = {BMJ Open},
volume = {14},
issue = {4},
abstract = {Cancer-related cognitive impairment is common among people diagnosed with and treated for cancer. This can be a distressing and disabling side effect for impacted individuals. Interventions to mitigate cognitive dysfunction are available, but, to date, most have been trialled in samples that are largely or exclusively composed of people with solid tumours. Intervention strategies to support cognitive functioning are needed, but there is a paucity of research in this area. The main aim of this study is to test the feasibility and acceptability of methods and procedures intended for use in a definitive trial of a web-based cognitive rehabilitation programme, Responding to Cognitive Concerns (eReCog), in people who have received chemotherapy for aggressive lymphoma.},
keywords = {},
pubstate = {published},
tppubtype = {bachelorthesis}
}
Cancer-related cognitive impairment is common among people diagnosed with and treated for cancer. This can be a distressing and disabling side effect for impacted individuals. Interventions to mitigate cognitive dysfunction are available, but, to date, most have been trialled in samples that are largely or exclusively composed of people with solid tumours. Intervention strategies to support cognitive functioning are needed, but there is a paucity of research in this area. The main aim of this study is to test the feasibility and acceptability of methods and procedures intended for use in a definitive trial of a web-based cognitive rehabilitation programme, Responding to Cognitive Concerns (eReCog), in people who have received chemotherapy for aggressive lymphoma.
Caeyenberghs, Juan F Domínguez D; Ashley Stewart; Alex Burmester; Hamed Akhlaghi; Kieran O'Brien; Steffen Bollmann; Karen
Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level Journal Article
In: Zeitschrift für Medizinische Physik, 2024.
@article{nokey,
title = {Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level},
author = {Juan F Domínguez D; Ashley Stewart; Alex Burmester; Hamed Akhlaghi; Kieran O'Brien; Steffen Bollmann; Karen Caeyenberghs},
year = {2024},
date = {2024-02-08},
urldate = {2024-02-08},
journal = {Zeitschrift für Medizinische Physik},
abstract = {Background
Emerging evidence suggests that traumatic brain injury (TBI) is a major risk factor for developing neurodegenerative disease later in life. Quantitative susceptibility mapping (QSM) has been used by an increasing number of studies in investigations of pathophysiological changes in TBI. However, generating artefact-free quantitative susceptibility maps in brains with large focal lesions, as in the case of moderate-to-severe TBI (ms-TBI), is particularly challenging. To address this issue, we utilized a novel two-pass masking technique and reconstruction procedure (two-pass QSM) to generate quantitative susceptibility maps (QSMxT; Stewart et al., 2022, Magn Reson Med.) in combination with the recently developed virtual brain grafting (VBG) procedure for brain repair (Radwan et al., 2021, NeuroImage) to improve automated delineation of brain areas. We used QSMxT and VBG to generate personalised QSM profiles of individual patients with reference to a sample of healthy controls.
Methods
Chronic ms-TBI patients (N = 8) and healthy controls (N = 12) underwent (multi-echo) GRE, and anatomical MRI (MPRAGE) on a 3T Siemens PRISMA scanner. We reconstructed the magnetic susceptibility maps using two-pass QSM from QSMxT. We then extracted values of magnetic susceptibility in grey matter (GM) regions (following brain repair via VBG) across the whole brain and determined if they deviate from a reference healthy control group [Z-score < −3.43 or > 3.43, relative to the control mean], with the aim of obtaining personalised QSM profiles.
Results
Using two-pass QSM, we achieved susceptibility maps with a substantial increase in quality and reduction in artefacts irrespective of the presence of large focal lesions, compared to single-pass QSM. In addition, VBG minimised the loss of GM regions and exclusion of patients due to failures in the region delineation step. Our findings revealed deviations in magnetic susceptibility measures from the HC group that differed across individual TBI patients. These changes included both increases and decreases in magnetic susceptibility values in multiple GM regions across the brain.
Conclusions
We illustrate how to obtain magnetic susceptibility values at the individual level and to build personalised QSM profiles in ms-TBI patients. Our approach opens the door for QSM investigations in more severely injured patients. Such profiles are also critical to overcome the inherent heterogeneity of clinical populations, such as ms-TBI, and to characterize the underlying mechanisms of neurodegeneration at the individual level more precisely. Moreover, this new personalised QSM profiling could in the future assist clinicians in assessing recovery and formulating a neuroscience-guided integrative rehabilitation program tailored to individual TBI patients.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Background
Emerging evidence suggests that traumatic brain injury (TBI) is a major risk factor for developing neurodegenerative disease later in life. Quantitative susceptibility mapping (QSM) has been used by an increasing number of studies in investigations of pathophysiological changes in TBI. However, generating artefact-free quantitative susceptibility maps in brains with large focal lesions, as in the case of moderate-to-severe TBI (ms-TBI), is particularly challenging. To address this issue, we utilized a novel two-pass masking technique and reconstruction procedure (two-pass QSM) to generate quantitative susceptibility maps (QSMxT; Stewart et al., 2022, Magn Reson Med.) in combination with the recently developed virtual brain grafting (VBG) procedure for brain repair (Radwan et al., 2021, NeuroImage) to improve automated delineation of brain areas. We used QSMxT and VBG to generate personalised QSM profiles of individual patients with reference to a sample of healthy controls.
Methods
Chronic ms-TBI patients (N = 8) and healthy controls (N = 12) underwent (multi-echo) GRE, and anatomical MRI (MPRAGE) on a 3T Siemens PRISMA scanner. We reconstructed the magnetic susceptibility maps using two-pass QSM from QSMxT. We then extracted values of magnetic susceptibility in grey matter (GM) regions (following brain repair via VBG) across the whole brain and determined if they deviate from a reference healthy control group [Z-score < −3.43 or > 3.43, relative to the control mean], with the aim of obtaining personalised QSM profiles.
Results
Using two-pass QSM, we achieved susceptibility maps with a substantial increase in quality and reduction in artefacts irrespective of the presence of large focal lesions, compared to single-pass QSM. In addition, VBG minimised the loss of GM regions and exclusion of patients due to failures in the region delineation step. Our findings revealed deviations in magnetic susceptibility measures from the HC group that differed across individual TBI patients. These changes included both increases and decreases in magnetic susceptibility values in multiple GM regions across the brain.
Conclusions
We illustrate how to obtain magnetic susceptibility values at the individual level and to build personalised QSM profiles in ms-TBI patients. Our approach opens the door for QSM investigations in more severely injured patients. Such profiles are also critical to overcome the inherent heterogeneity of clinical populations, such as ms-TBI, and to characterize the underlying mechanisms of neurodegeneration at the individual level more precisely. Moreover, this new personalised QSM profiling could in the future assist clinicians in assessing recovery and formulating a neuroscience-guided integrative rehabilitation program tailored to individual TBI patients.
Emerging evidence suggests that traumatic brain injury (TBI) is a major risk factor for developing neurodegenerative disease later in life. Quantitative susceptibility mapping (QSM) has been used by an increasing number of studies in investigations of pathophysiological changes in TBI. However, generating artefact-free quantitative susceptibility maps in brains with large focal lesions, as in the case of moderate-to-severe TBI (ms-TBI), is particularly challenging. To address this issue, we utilized a novel two-pass masking technique and reconstruction procedure (two-pass QSM) to generate quantitative susceptibility maps (QSMxT; Stewart et al., 2022, Magn Reson Med.) in combination with the recently developed virtual brain grafting (VBG) procedure for brain repair (Radwan et al., 2021, NeuroImage) to improve automated delineation of brain areas. We used QSMxT and VBG to generate personalised QSM profiles of individual patients with reference to a sample of healthy controls.
Methods
Chronic ms-TBI patients (N = 8) and healthy controls (N = 12) underwent (multi-echo) GRE, and anatomical MRI (MPRAGE) on a 3T Siemens PRISMA scanner. We reconstructed the magnetic susceptibility maps using two-pass QSM from QSMxT. We then extracted values of magnetic susceptibility in grey matter (GM) regions (following brain repair via VBG) across the whole brain and determined if they deviate from a reference healthy control group [Z-score < −3.43 or > 3.43, relative to the control mean], with the aim of obtaining personalised QSM profiles.
Results
Using two-pass QSM, we achieved susceptibility maps with a substantial increase in quality and reduction in artefacts irrespective of the presence of large focal lesions, compared to single-pass QSM. In addition, VBG minimised the loss of GM regions and exclusion of patients due to failures in the region delineation step. Our findings revealed deviations in magnetic susceptibility measures from the HC group that differed across individual TBI patients. These changes included both increases and decreases in magnetic susceptibility values in multiple GM regions across the brain.
Conclusions
We illustrate how to obtain magnetic susceptibility values at the individual level and to build personalised QSM profiles in ms-TBI patients. Our approach opens the door for QSM investigations in more severely injured patients. Such profiles are also critical to overcome the inherent heterogeneity of clinical populations, such as ms-TBI, and to characterize the underlying mechanisms of neurodegeneration at the individual level more precisely. Moreover, this new personalised QSM profiling could in the future assist clinicians in assessing recovery and formulating a neuroscience-guided integrative rehabilitation program tailored to individual TBI patients.
Nahian F Chowdhury Phoebe Imms, Nikhil N Chaudhari
Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks Journal Article
In: Cortex, vol. 171, pp. 397-412, 2024.
@article{nokey,
title = {Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks},
author = {Phoebe Imms, Nahian F Chowdhury, Nikhil N Chaudhari, Anar Amgalan, Govinda Poudel, Karen Caeyenberghs, Andrei Irimia},
url = {https://www.sciencedirect.com/science/article/pii/S0010945223002885},
year = {2024},
date = {2024-02-01},
urldate = {2024-02-01},
journal = {Cortex},
volume = {171},
pages = {397-412},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Nahian F Chowdhury Phoebe Imms, Nikhil N Chaudhari
Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks Journal Article
In: Cortex, vol. 171, pp. 397-412, 2024.
@article{nokey,
title = {Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks},
author = {Phoebe Imms, Nahian F Chowdhury, Nikhil N Chaudhari, Anar Amgalan, Govinda Poudel, Karen Caeyenberghs, Andrei Irimia},
url = {https://www.sciencedirect.com/science/article/pii/S0010945223002885},
year = {2024},
date = {2024-02-01},
journal = {Cortex},
volume = {171},
pages = {397-412},
abstract = {A considerable but ill-defined proportion of patients with mild traumatic brain injury (mTBI) experience persistent cognitive sequelae; the ability to identify such individuals early can help their neurorehabilitation. Here we tested the hypothesis that acute measures of efficient communication within brain networks are associated with patients’ risk for unfavorable cognitive outcome six months after mTBI. Diffusion and T1-weighted magnetic resonance imaging, alongside cognitive measures, were obtained to map connectomes both one week and six months post injury in 113 adult patients with mTBI (71 males). For task-related brain networks, communication measures (characteristic path length, global efficiency, navigation efficiency) were moderately correlated with changes in cognition. Taking into account the covariance of age and sex, more unfavorable communication within networks were associated with worse outcomes within cognitive domains frequently impacted by mTBI (episodic and working memory, verbal fluency, inductive reasoning, and processing speed). Individuals with more unfavorable outcomes had significantly longer and less efficient pathways within networks supporting verbal fluency (all t > 2.786, p < .006), highlighting the vulnerability of language to mTBI. Participants in whom a task-related network was relatively inefficient one week post injury were up to eight times more likely to have unfavorable cognitive outcome pertaining to that task. Our findings suggest that communication measures within task-related networks identify mTBI patients who are unlikely to develop persistent cognitive deficits after mTBI. Our approach and findings can help to stratify mTBI patients according to their expected need for follow-up and/or neurorehabilitation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
A considerable but ill-defined proportion of patients with mild traumatic brain injury (mTBI) experience persistent cognitive sequelae; the ability to identify such individuals early can help their neurorehabilitation. Here we tested the hypothesis that acute measures of efficient communication within brain networks are associated with patients’ risk for unfavorable cognitive outcome six months after mTBI. Diffusion and T1-weighted magnetic resonance imaging, alongside cognitive measures, were obtained to map connectomes both one week and six months post injury in 113 adult patients with mTBI (71 males). For task-related brain networks, communication measures (characteristic path length, global efficiency, navigation efficiency) were moderately correlated with changes in cognition. Taking into account the covariance of age and sex, more unfavorable communication within networks were associated with worse outcomes within cognitive domains frequently impacted by mTBI (episodic and working memory, verbal fluency, inductive reasoning, and processing speed). Individuals with more unfavorable outcomes had significantly longer and less efficient pathways within networks supporting verbal fluency (all t > 2.786, p < .006), highlighting the vulnerability of language to mTBI. Participants in whom a task-related network was relatively inefficient one week post injury were up to eight times more likely to have unfavorable cognitive outcome pertaining to that task. Our findings suggest that communication measures within task-related networks identify mTBI patients who are unlikely to develop persistent cognitive deficits after mTBI. Our approach and findings can help to stratify mTBI patients according to their expected need for follow-up and/or neurorehabilitation.
Imms, Phoebe; Chowdhury, Nahian F; Chaudhari, Nikhil N; Amgalan, Anar; Poudel, Govinda; Caeyenberghs, Karen; Irimia, Andrei
Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks Journal Article
In: Cortex, vol. 171, pp. 397–412, 2024.
@article{imms2024prediction,
title = {Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks},
author = { Phoebe Imms and Nahian F Chowdhury and Nikhil N Chaudhari and Anar Amgalan and Govinda Poudel and Karen Caeyenberghs and Andrei Irimia},
year = {2024},
date = {2024-01-01},
journal = {Cortex},
volume = {171},
pages = {397–412},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Stewart, Ashley; Burmester, Alex; Akhlaghi, Hamed; O'Brien, Kieran; Bollmann, Steffen; Caeyenberghs, Karen; others,
Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level Journal Article
In: Zeitschrift für Medizinische Physik, 2024.
@article{stewart2024improving,
title = {Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level},
author = { Ashley Stewart and Alex Burmester and Hamed Akhlaghi and Kieran O'Brien and Steffen Bollmann and Karen Caeyenberghs and others},
year = {2024},
date = {2024-01-01},
journal = {Zeitschrift für Medizinische Physik},
publisher = {Urban & Fischer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2023
Sarah Claire Hellewell Matthew Bagg, Jemma Keeves
In: Journal of neurotrauma, vol. ja, 2023.
@article{nokey,
title = {The Australian Traumatic Brain Injury Initiative: systematic review of predictive value of biological markers for people with moderate-severe traumatic brain injury},
author = {Matthew Bagg, Sarah Claire Hellewell, Jemma Keeves, Ana Antonic-Baker, Ancelin McKimmie, Amelia Hicks, Adelle Gadowski, Virginia Newcombe, Karen Maria Barlow, Zsolt Balogh, Jason Ross, Meng Law, Karen Caeyenberghs, Paul Parizel, Jacinta Thorne, Melissa Papini, Geena Gill, Amanada Jefferson, Jennie Ponsford, Natasha A Lannin, Terence J O'Brien, Peter Cameron, D James Cooper, Nick Rushworth, Belinda Gabbe, Melinda Fitzgerald},
url = {https://www.liebertpub.com/doi/abs/10.1089/neu.2023.0464},
year = {2023},
date = {2023-12-23},
urldate = {2023-12-23},
journal = {Journal of neurotrauma},
volume = {ja},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Sarah Claire Hellewell Matthew Bagg, Jemma Keeves
In: 2023.
@article{nokey,
title = {The Australian Traumatic Brain Injury Initiative: systematic review of predictive value of biological markers for people with moderate-severe traumatic brain injury},
author = {Matthew Bagg, Sarah Claire Hellewell, Jemma Keeves, Ana Antonic-Baker, Ancelin McKimmie, Amelia Hicks, Adelle Gadowski, Virginia Newcombe, Karen Maria Barlow, Zsolt Balogh, Jason Ross, Meng Law, Karen Caeyenberghs, Paul Parizel, Jacinta Thorne, Melissa Papini, Geena Gill, Amanada Jefferson, Jennie Ponsford, Natasha A Lannin, Terence J O'Brien, Peter Cameron, D James Cooper, Nick Rushworth, Belinda Gabbe, Melinda Fitzgerald},
url = {https://www.liebertpub.com/doi/abs/10.1089/neu.2023.0464},
year = {2023},
date = {2023-12-19},
urldate = {2023-12-19},
abstract = {Background: The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to co-design a data resource to predict outcomes for people with moderate-severe TBI across Australia. Fundamental to this resource is the data dictionary; an ontology of data items. Here, we report the systematic review and consensus process for inclusion of biological markers in the data dictionary. Methods: Standardised database searches were implemented from inception through April 2022. English-language studies evaluating association between a fluid, tissue or imaging marker and any clinical outcome in at least ten patients with moderate-severe TBI were included. Records were screened using a prioritisation algorithm and saturation threshold in Research Screener. Full-length records were then screened in Covidence. A predefined algorithm was used to assign a judgement of predictive value to each observed association, and high-value predictors were discussed in a consensus process. Findings: Searches retrieved 106,593 records. 1,417 full-length records were screened, resulting in 546 included records. 239 individual markers were extracted, evaluated against 101 distinct outcomes. 44 markers were judged to be high-value predictors of 15 outcomes. Fluid markers retained following the consensus process included neuron specific enolase, ubiquitin C-terminal Hydrolase L1 and glial fibrillary acidic protein. Imaging markers included CT scores (e.g., Marshall), pathological observations (e.g., haemorrhage, midline shift), and MRI (e.g., diffuse axonal injury). The clinical context and time of sampling of potential predictive indicators are important considerations for utility. Conclusions: This systematic review and consensus process has identified fluid and imaging biomarkers with high predictive value of clinical and long-term outcomes following moderate-severe TBI.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Background: The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to co-design a data resource to predict outcomes for people with moderate-severe TBI across Australia. Fundamental to this resource is the data dictionary; an ontology of data items. Here, we report the systematic review and consensus process for inclusion of biological markers in the data dictionary. Methods: Standardised database searches were implemented from inception through April 2022. English-language studies evaluating association between a fluid, tissue or imaging marker and any clinical outcome in at least ten patients with moderate-severe TBI were included. Records were screened using a prioritisation algorithm and saturation threshold in Research Screener. Full-length records were then screened in Covidence. A predefined algorithm was used to assign a judgement of predictive value to each observed association, and high-value predictors were discussed in a consensus process. Findings: Searches retrieved 106,593 records. 1,417 full-length records were screened, resulting in 546 included records. 239 individual markers were extracted, evaluated against 101 distinct outcomes. 44 markers were judged to be high-value predictors of 15 outcomes. Fluid markers retained following the consensus process included neuron specific enolase, ubiquitin C-terminal Hydrolase L1 and glial fibrillary acidic protein. Imaging markers included CT scores (e.g., Marshall), pathological observations (e.g., haemorrhage, midline shift), and MRI (e.g., diffuse axonal injury). The clinical context and time of sampling of potential predictive indicators are important considerations for utility. Conclusions: This systematic review and consensus process has identified fluid and imaging biomarkers with high predictive value of clinical and long-term outcomes following moderate-severe TBI.
Alex Burmester Lara Fernandez, Juan F Domínguez D
Examination of cerebellar grey-matter volume in children with neurodevelopmental disorders: a coordinated analysis using the ACAPULCO algorithm Journal Article
In: Cerebellum, vol. 22, iss. 6, pp. 1243-1249, 2023.
@article{nokey,
title = { Examination of cerebellar grey-matter volume in children with neurodevelopmental disorders: a coordinated analysis using the ACAPULCO algorithm},
author = {Lara Fernandez, Alex Burmester, Juan F Domínguez D, Timothy J Silk, Christian E Hyde, Melissa Kirkovski, Peter G Enticott, Karen Caeyenberghs},
url = {https://link.springer.com/article/10.1007/s12311-022-01503-3},
year = {2023},
date = {2023-12-01},
urldate = {2023-12-01},
journal = {Cerebellum},
volume = {22},
issue = {6},
pages = {1243-1249},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hannah M Lindsey Finian Keleher, Rebecca Kerestes
Multimodal Analysis of Secondary Cerebellar Alterations After Pediatric Traumatic Brain Injury Journal Article
In: JAMA Network Open, vol. 6, iss. 11, pp. e2343410-e2343410, 2023.
@article{nokey,
title = {Multimodal Analysis of Secondary Cerebellar Alterations After Pediatric Traumatic Brain Injury},
author = {Finian Keleher, Hannah M Lindsey, Rebecca Kerestes, Houshang Amiri, Robert F Asarnow, Talin Babikian, Brenda Bartnik-Olson, Erin D Bigler, Karen Caeyenberghs, Carrie Esopenko, Linda Ewing-Cobbs, Christopher C Giza, Naomi J Goodrich-Hunsaker, Cooper B Hodges, Kristen R Hoskinson, Andrei Irimia, Marsh Königs, Jeffrey E Max, Mary R Newsome, Alexander Olsen, Nicholas P Ryan, Adam T Schmidt, Dan J Stein, Stacy J Suskauer, Ashley L Ware, Anne L Wheeler, Brandon A Zielinski, Paul M Thompson, Ian H Harding, David F Tate, Elisabeth A Wilde, Emily L Dennis},
url = {https://jamanetwork.com/journals/jamanetworkopen/article-abstract/2811871},
year = {2023},
date = {2023-11-11},
urldate = {2023-11-11},
journal = {JAMA Network Open},
volume = {6},
issue = {11},
pages = {e2343410-e2343410},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Elizabeth G Ellis Ellen Younger, Nicholas Parsons
Mapping essential tremor to a common brain network using functional connectivity analysis Journal Article
In: Neurology, vol. 101, iss. 15, 2023.
@article{nokey,
title = {Mapping essential tremor to a common brain network using functional connectivity analysis},
author = {Ellen Younger, Elizabeth G Ellis, Nicholas Parsons, Patrizia Pantano, Silvia Tommasin, Karen Caeyenberghs, Julián Benito-León, Juan Pablo Romero, Juho Joutsa, Daniel T Corp},
url = {https://www.neurology.org/doi/abs/10.1212/wnl.0000000000207701},
year = {2023},
date = {2023-10-10},
urldate = {2023-10-10},
journal = {Neurology},
volume = {101},
issue = {15},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Juho Joutsa Elizabeth G Ellis, Jordan Morrison-Ham
Large-scale activation likelihood estimation meta-analysis of parkinsonian disorders Bachelor Thesis
2023.
@bachelorthesis{nokey,
title = {Large-scale activation likelihood estimation meta-analysis of parkinsonian disorders},
author = {Elizabeth G Ellis, Juho Joutsa, Jordan Morrison-Ham, Ellen FP Younger, Jacqueline B Saward, Karen Caeyenberghs, Daniel T Corp},
url = {https://academic.oup.com/braincomms/article/5/3/fcad172/7185841},
year = {2023},
date = {2023-05-30},
urldate = {2023-05-30},
journal = {Brain Communications},
keywords = {},
pubstate = {published},
tppubtype = {bachelorthesis}
}
Arnaud Attyé Adam Clemente, Félix Renard
Individualised profiling of white matter organisation in moderate-to-severe traumatic brain injury patients Journal Article
In: Brain Research, vol. 1806, 2023.
@article{nokey,
title = {Individualised profiling of white matter organisation in moderate-to-severe traumatic brain injury patients},
author = {Adam Clemente, Arnaud Attyé, Félix Renard, Fernando Calamante, Alex Burmester, Phoebe Imms, Evelyn Deutscher, Hamed Akhlaghi, Paul Beech, Peter H Wilson, Govinda Poudel, Karen Caeyenberghs},
url = {https://www.sciencedirect.com/science/article/pii/S0006899323000598},
year = {2023},
date = {2023-05-01},
urldate = {2023-05-01},
journal = {Brain Research},
volume = {1806},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
D, Juan F Domínguez; Truong, Johnny; Burnett, Jake; Satyen, Lata; Akhlaghi, Hamed; Stella, Julian; Rushworth, Nick; Caeyenberghs, Karen; others,
Effects of the response to the COVID-19 pandemic on assault-related head injury in Melbourne: a retrospective study Journal Article
In: International journal of environmental research and public health, vol. 20, no. 1, pp. 63, 2023.
@article{dominguez2023effects,
title = {Effects of the response to the COVID-19 pandemic on assault-related head injury in Melbourne: a retrospective study},
author = {Juan F Domínguez D and Johnny Truong and Jake Burnett and Lata Satyen and Hamed Akhlaghi and Julian Stella and Nick Rushworth and Karen Caeyenberghs and others},
url = {https://pubmed.ncbi.nlm.nih.gov/36612383/},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {International journal of environmental research and public health},
volume = {20},
number = {1},
pages = {63},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kennedy, Eamonn; Vadlamani, Shashank; Lindsey, Hannah M; Lei, Pui-Wa; Jo-Pugh, Mary; Adamson, Maheen; Alda, Martin; Alonso-Lana, Silvia; Ambrogi, Sonia; Anderson, Tim J; others,
Bridging Big Data: Procedures for Combining Non-equivalent Cognitive Measures from the ENIGMA Consortium Journal Article
In: bioRxiv, pp. 2023–01, 2023.
@article{kennedy2023bridging,
title = {Bridging Big Data: Procedures for Combining Non-equivalent Cognitive Measures from the ENIGMA Consortium},
author = { Eamonn Kennedy and Shashank Vadlamani and Hannah M Lindsey and Pui-Wa Lei and Mary Jo-Pugh and Maheen Adamson and Martin Alda and Silvia Alonso-Lana and Sonia Ambrogi and Tim J Anderson and others},
url = {https://www.biorxiv.org/content/10.1101/2023.01.16.524331v1},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {bioRxiv},
pages = {2023–01},
publisher = {Cold Spring Harbor Laboratory},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Andrei Irimia Nicholas Parsons, Anar Amgalan
Structural-functional connectivity bandwidth predicts processing speed in mild traumatic brain Injury: A multiplex network analysis Journal Article
In: NeuroImage: Clinical, vol. 38, 2023.
@article{nokey,
title = {Structural-functional connectivity bandwidth predicts processing speed in mild traumatic brain Injury: A multiplex network analysis},
author = {Nicholas Parsons, Andrei Irimia, Anar Amgalan, Julien Ugon, Kerri Morgan, Sergiy Shelyag, Alex Hocking, Govinda Poudel, Karen Caeyenberghs},
url = {https://www.sciencedirect.com/science/article/pii/S2213158223001171},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {NeuroImage: Clinical},
volume = {38},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Adam Clemente Phoebe Imms, Evelyn Deutscher
Exploring personalized structural connectomics for moderate to severe traumatic brain injury Journal Article
In: Network Neuroscience, vol. 7, iss. 1, 2023.
@article{nokey,
title = {Exploring personalized structural connectomics for moderate to severe traumatic brain injury},
author = {Phoebe Imms, Adam Clemente, Evelyn Deutscher, Ahmed M Radwan, Hamed Akhlaghi, Paul Beech, Peter H Wilson, Andrei Irimia, Govinda Poudel, Juan F Domínguez Duque, Karen Caeyenberghs},
url = {https://direct.mit.edu/netn/article/7/1/160/112991/Exploring-personalized-structural-connectomics-for},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Network Neuroscience},
volume = {7},
issue = {1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Imms, Phoebe; Clemente, Adam; Deutscher, Evelyn; Radwan, Ahmed M; Akhlaghi, Hamed; Beech, Paul; Wilson, Peter H; Irimia, Andrei; Poudel, Govinda; Duque, Juan F Domínguez; others,
Exploring personalized structural connectomics for moderate to severe traumatic brain injury Journal Article
In: Network Neuroscience, vol. 7, no. 1, pp. 160–183, 2023.
@article{imms2023exploring,
title = {Exploring personalized structural connectomics for moderate to severe traumatic brain injury},
author = { Phoebe Imms and Adam Clemente and Evelyn Deutscher and Ahmed M Radwan and Hamed Akhlaghi and Paul Beech and Peter H Wilson and Andrei Irimia and Govinda Poudel and Juan F Domínguez Duque and others},
year = {2023},
date = {2023-01-01},
journal = {Network Neuroscience},
volume = {7},
number = {1},
pages = {160–183},
publisher = {MIT Press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fernandez, Lara; Burmester, Alex; Duque, Juan Dominguez; Silk, Timothy J; Hyde, Christian E; Kirkovski, Melissa; Enticott, Peter G; Caeyenberghs, Karen
Examination of cerebellar grey-matter volume in children with neurodevelopmental disorders: a coordinated analysis using the ACAPULCO algorithm Journal Article
In: The Cerebellum, vol. 22, no. 6, pp. 1243–1249, 2023.
@article{fernandez2023examination,
title = {Examination of cerebellar grey-matter volume in children with neurodevelopmental disorders: a coordinated analysis using the ACAPULCO algorithm},
author = { Lara Fernandez and Alex Burmester and Juan Dominguez Duque and Timothy J Silk and Christian E Hyde and Melissa Kirkovski and Peter G Enticott and Karen Caeyenberghs},
year = {2023},
date = {2023-01-01},
journal = {The Cerebellum},
volume = {22},
number = {6},
pages = {1243–1249},
publisher = {Springer US New York},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Keleher, Finian; Lindsey, Hannah M; Kerestes, Rebecca; Amiri, Houshang; Asarnow, Robert F; Babikian, Talin; Bartnik-Olson, Brenda; Bigler, Erin D; Caeyenberghs, Karen; Esopenko, Carrie; others,
Multimodal Analysis of Secondary Cerebellar Alterations After Pediatric Traumatic Brain Injury Journal Article
In: JAMA Network Open, vol. 6, no. 11, pp. e2343410–e2343410, 2023.
@article{keleher2023multimodal,
title = {Multimodal Analysis of Secondary Cerebellar Alterations After Pediatric Traumatic Brain Injury},
author = { Finian Keleher and Hannah M Lindsey and Rebecca Kerestes and Houshang Amiri and Robert F Asarnow and Talin Babikian and Brenda Bartnik-Olson and Erin D Bigler and Karen Caeyenberghs and Carrie Esopenko and others},
year = {2023},
date = {2023-01-01},
journal = {JAMA Network Open},
volume = {6},
number = {11},
pages = {e2343410–e2343410},
publisher = {American Medical Association},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bianco, Kaila M; Fuelscher, Ian; Lum, Jarrad AG; Singh, Mervyn; Enticott, Peter G; Caeyenberghs, Karen; Hyde, Christian
Individual differences in procedural learning are associated with fiber specific white matter microstructure of the superior cerebellar peduncles in healthy adults Journal Article
In: cortex, vol. 161, pp. 1–12, 2023.
@article{bianco2023individual,
title = {Individual differences in procedural learning are associated with fiber specific white matter microstructure of the superior cerebellar peduncles in healthy adults},
author = { Kaila M Bianco and Ian Fuelscher and Jarrad AG Lum and Mervyn Singh and Peter G Enticott and Karen Caeyenberghs and Christian Hyde},
year = {2023},
date = {2023-01-01},
journal = {cortex},
volume = {161},
pages = {1–12},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Clemente, Adam; Attyé, Arnaud; Renard, Félix; Calamante, Fernando; Burmester, Alex; Imms, Phoebe; Deutscher, Evelyn; Akhlaghi, Hamed; Beech, Paul; Wilson, Peter H; others,
Individualised profiling of white matter organisation in moderate-to-severe traumatic brain injury patients Journal Article
In: Brain Research, vol. 1806, pp. 148289, 2023.
@article{clemente2023individualised,
title = {Individualised profiling of white matter organisation in moderate-to-severe traumatic brain injury patients},
author = { Adam Clemente and Arnaud Attyé and Félix Renard and Fernando Calamante and Alex Burmester and Phoebe Imms and Evelyn Deutscher and Hamed Akhlaghi and Paul Beech and Peter H Wilson and others},
year = {2023},
date = {2023-01-01},
journal = {Brain Research},
volume = {1806},
pages = {148289},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Parsons, Nicholas; Irimia, Andrei; Amgalan, Anar; Ugon, Julien; Morgan, Kerri; Shelyag, Sergiy; Hocking, Alex; Poudel, Govinda; Caeyenberghs, Karen
Structural-functional connectivity bandwidth predicts processing speed in mild traumatic brain Injury: A multiplex network analysis Journal Article
In: NeuroImage: Clinical, vol. 38, pp. 103428, 2023.
@article{parsons2023structural,
title = {Structural-functional connectivity bandwidth predicts processing speed in mild traumatic brain Injury: A multiplex network analysis},
author = { Nicholas Parsons and Andrei Irimia and Anar Amgalan and Julien Ugon and Kerri Morgan and Sergiy Shelyag and Alex Hocking and Govinda Poudel and Karen Caeyenberghs},
year = {2023},
date = {2023-01-01},
journal = {NeuroImage: Clinical},
volume = {38},
pages = {103428},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ellis, Elizabeth G; Joutsa, Juho; Morrison-Ham, Jordan; Younger, Ellen FP; Saward, Jacqueline B; Caeyenberghs, Karen; Corp, Daniel T
Large-scale activation likelihood estimation meta-analysis of parkinsonian disorders Journal Article
In: Brain Communications, pp. fcad172, 2023.
@article{ellis2023large,
title = {Large-scale activation likelihood estimation meta-analysis of parkinsonian disorders},
author = { Elizabeth G Ellis and Juho Joutsa and Jordan Morrison-Ham and Ellen FP Younger and Jacqueline B Saward and Karen Caeyenberghs and Daniel T Corp},
year = {2023},
date = {2023-01-01},
journal = {Brain Communications},
pages = {fcad172},
publisher = {Oxford University Press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Younger, Ellen FP; Ellis, Elizabeth G; Parsons, Nicholas; Pantano, Patrizia; Tommasin, Silvia; Caeyenberghs, Karen; Benito-León, Julián; Romero, Juan Pablo; Joutsa, Juho; Corp, Daniel T
Mapping essential tremor to a common brain network using functional connectivity analysis Journal Article
In: Neurology, vol. 101, no. 15, pp. e1483–e1494, 2023.
@article{younger2023mapping,
title = {Mapping essential tremor to a common brain network using functional connectivity analysis},
author = { Ellen FP Younger and Elizabeth G Ellis and Nicholas Parsons and Patrizia Pantano and Silvia Tommasin and Karen Caeyenberghs and Julián Benito-León and Juan Pablo Romero and Juho Joutsa and Daniel T Corp},
year = {2023},
date = {2023-01-01},
journal = {Neurology},
volume = {101},
number = {15},
pages = {e1483–e1494},
publisher = {Lippincott Williams & Wilkins Hagerstown, MD},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kennedy, Eamonn; Vadlamani, Shashank; Lindsey, Hannah M; Peterson, Kelly S; OConnor, Kristen Dams; Murray, Kenton; Agarwal, Ronak; Amiri, Houshang H; Andersen, Raeda K; Babikian, Talin; others,
Linking Symptom Inventories using Semantic Textual Similarity Journal Article
In: arXiv preprint arXiv:2309.04607, 2023.
@article{kennedy2023linking,
title = {Linking Symptom Inventories using Semantic Textual Similarity},
author = { Eamonn Kennedy and Shashank Vadlamani and Hannah M Lindsey and Kelly S Peterson and Kristen Dams OConnor and Kenton Murray and Ronak Agarwal and Houshang H Amiri and Raeda K Andersen and Talin Babikian and others},
year = {2023},
date = {2023-01-01},
journal = {arXiv preprint arXiv:2309.04607},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Dennis, Emily L; Vervoordt, Samantha; Adamson, Maheen M; Amiri, Houshang; Bigler, Erin D; Caeyenberghs, Karen; Cole, James H; Dams-O’Connor, Kristen; Deutscher, Evelyn M; Dobryakova, Ekaterina; others,
Accelerated Aging after Traumatic Brain Injury: an ENIGMA Multi-Cohort Mega-Analysis Journal Article
In: bioRxiv, pp. 2023–10, 2023.
@article{dennis2023accelerated,
title = {Accelerated Aging after Traumatic Brain Injury: an ENIGMA Multi-Cohort Mega-Analysis},
author = { Emily L Dennis and Samantha Vervoordt and Maheen M Adamson and Houshang Amiri and Erin D Bigler and Karen Caeyenberghs and James H Cole and Kristen Dams-O’Connor and Evelyn M Deutscher and Ekaterina Dobryakova and others},
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Bagg, Matthew; Hellewell, Sarah Claire; Keeves, Jemma; Antonic-Baker, Ana; McKimmie, Ancelin; Hicks, Amelia; Gadowski, Adelle; Newcombe, Virginia; Barlow, Karen Maria; Balogh, Zsolt; others,
The Australian Traumatic Brain Injury Initiative: systematic review of predictive value of biological markers for people with moderate-severe traumatic brain injury Journal Article
In: Journal of neurotrauma, no. ja, 2023.
@article{bagg2023australian,
title = {The Australian Traumatic Brain Injury Initiative: systematic review of predictive value of biological markers for people with moderate-severe traumatic brain injury},
author = { Matthew Bagg and Sarah Claire Hellewell and Jemma Keeves and Ana Antonic-Baker and Ancelin McKimmie and Amelia Hicks and Adelle Gadowski and Virginia Newcombe and Karen Maria Barlow and Zsolt Balogh and others},
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Caeyenberghs, Karen; Dominguez, Juan; Burmester, Alex; Akhlaghi, Hamed
Single-subject profiling in patients with traumatic brain injury using STREAMLINES Journal Article
In: 2023.
@article{caeyenberghs2023single,
title = {Single-subject profiling in patients with traumatic brain injury using STREAMLINES},
author = { Karen Caeyenberghs and Juan Dominguez and Alex Burmester and Hamed Akhlaghi},
year = {2023},
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Caeyenberghs, Karen; Dominguez, Juan; Truong, Johnny; Burnett, Jake; Satyen, Lata; Akhlaghi, Hamed; Stella, Julian; Rushworth, Nick
Effects of the response to the COVID-19 pandemic on assault-related head injury in melbourne: a retrospective study Journal Article
In: 2023.
@article{caeyenberghs2023effects,
title = {Effects of the response to the COVID-19 pandemic on assault-related head injury in melbourne: a retrospective study},
author = { Karen Caeyenberghs and Juan Dominguez and Johnny Truong and Jake Burnett and Lata Satyen and Hamed Akhlaghi and Julian Stella and Nick Rushworth},
year = {2023},
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2022
Drijkoningen, David; Caeyenberghs, Karen; Linden, Catharine Vander; Sunaert, Stefan; Swinnen, Stephan
Rehabilitation of postural control in children and adolescents with traumatic brain injury Journal Article
In: 2022.
@article{drijkoningen2022rehabilitation,
title = {Rehabilitation of postural control in children and adolescents with traumatic brain injury},
author = { David Drijkoningen and Karen Caeyenberghs and Catharine Vander Linden and Stefan Sunaert and Stephan Swinnen},
url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6870903/},
year = {2022},
date = {2022-01-01},
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Dennis, Emily L; Baron, David; Bartnik-Olson, Brenda; Caeyenberghs, Karen; Esopenko, Carrie; Hillary, Frank G; Kenney, Kimbra; Koerte, Inga K; Lin, Alexander P; Mayer, Andrew R; others,
ENIGMA brain injury: Framework, challenges, and opportunities Journal Article
In: Human brain mapping, vol. 43, no. 1, pp. 149–166, 2022.
@article{dennis2022enigma,
title = {ENIGMA brain injury: Framework, challenges, and opportunities},
author = { Emily L Dennis and David Baron and Brenda Bartnik-Olson and Karen Caeyenberghs and Carrie Esopenko and Frank G Hillary and Kimbra Kenney and Inga K Koerte and Alexander P Lin and Andrew R Mayer and others},
url = {https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.25046},
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Bhoyroo, Ranila; Hands, Beth; Caeyenberghs, Karen; de Luca, Alberto; Leemans, Alexander; Wigley, Adam; Hyde, Christian
Association between motor planning and the frontoparietal network in children: An exploratory multimodal study Journal Article
In: Journal of the International Neuropsychological Society, vol. 28, no. 9, pp. 926–936, 2022.
@article{bhoyroo2022association,
title = {Association between motor planning and the frontoparietal network in children: An exploratory multimodal study},
author = { Ranila Bhoyroo and Beth Hands and Karen Caeyenberghs and Alberto de Luca and Alexander Leemans and Adam Wigley and Christian Hyde},
url = {https://pubmed.ncbi.nlm.nih.gov/34674790/},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
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Imms, Phoebe; Clemente, Adam; Deutscher, Evelyn; Radwan, Ahmed M; Akhlaghi, Hamed; Beech, Paul; Wilson, Peter H; Irimia, Andrei; Poudel, Govinda; D, Juan F Domínguez; others,
Personalised structural connectomics for moderate-to-severe traumatic brain injury Journal Article
In: medRxiv, pp. 2022–03, 2022.
@article{imms2022personalised,
title = {Personalised structural connectomics for moderate-to-severe traumatic brain injury},
author = { Phoebe Imms and Adam Clemente and Evelyn Deutscher and Ahmed M Radwan and Hamed Akhlaghi and Paul Beech and Peter H Wilson and Andrei Irimia and Govinda Poudel and Juan F Domínguez D and others},
url = {https://direct.mit.edu/netn/article/7/1/160/112991/Exploring-personalized-structural-connectomics-for},
year = {2022},
date = {2022-01-01},
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Clemente, Adam; Attyé, Arnaud; Renard, Félix; Calamante, Fernando; Burmester, Alex; Imms, Phoebe; Deutscher, Evelyn; Akhlaghi, Hamed; Beech, Paul; Wilson, Peter H; others,
In: medRxiv, pp. 2022–03, 2022.
@article{clemente2022individualised,
title = {Individualised Profiling of White Matter Organisation in Moderate-to-Severe Traumatic Brain Injury Patients Using TractLearn: A Proof-of-Concept Study},
author = { Adam Clemente and Arnaud Attyé and Félix Renard and Fernando Calamante and Alex Burmester and Phoebe Imms and Evelyn Deutscher and Hamed Akhlaghi and Paul Beech and Peter H Wilson and others},
url = {https://www.sciencedirect.com/science/article/pii/S0006899323000598},
year = {2022},
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Saward, Jacqueline B; Ellis, Elizabeth G; Cobden, Annalee L; Caeyenberghs, Karen
Mapping cognitive deficits in cancer patients after chemotherapy: An Activation Likelihood Estimation meta-analysis of task-related fMRI studies Journal Article
In: Brain Imaging and Behavior, vol. 16, no. 5, pp. 2320–2334, 2022.
@article{saward2022mapping,
title = {Mapping cognitive deficits in cancer patients after chemotherapy: An Activation Likelihood Estimation meta-analysis of task-related fMRI studies},
author = { Jacqueline B Saward and Elizabeth G Ellis and Annalee L Cobden and Karen Caeyenberghs},
url = {https://pubmed.ncbi.nlm.nih.gov/35366180/},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {Brain Imaging and Behavior},
volume = {16},
number = {5},
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publisher = {Springer US New York},
keywords = {},
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}
Ellis, Elizabeth G; Joutsa, Juho; Morrison-Ham, Jordan; Caeyenberghs, Karen; Corp, Daniel T
Localization of Abnormal Brain Regions in Parkinsonian Disorders: An ALE Meta-Analysis Journal Article
In: medRxiv, pp. 2022–04, 2022.
@article{ellis2022localization,
title = {Localization of Abnormal Brain Regions in Parkinsonian Disorders: An ALE Meta-Analysis},
author = { Elizabeth G Ellis and Juho Joutsa and Jordan Morrison-Ham and Karen Caeyenberghs and Daniel T Corp},
url = {https://www.medrxiv.org/content/10.1101/2022.04.11.22273755v1},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
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Maleki, Suzan; Hendrikse, Joshua; Chye, Yann; Caeyenberghs, Karen; Coxon, James P; Oldham, Stuart; Suo, Chao; Yücel, Murat
Associations of cardiorespiratory fitness and exercise with brain white matter in healthy adults: A systematic review and meta-analysis Journal Article
In: Brain Imaging and Behavior, vol. 16, no. 5, pp. 2402–2425, 2022.
@article{maleki2022associations,
title = {Associations of cardiorespiratory fitness and exercise with brain white matter in healthy adults: A systematic review and meta-analysis},
author = { Suzan Maleki and Joshua Hendrikse and Yann Chye and Karen Caeyenberghs and James P Coxon and Stuart Oldham and Chao Suo and Murat Yücel},
url = {https://pubmed.ncbi.nlm.nih.gov/35773556/},
year = {2022},
date = {2022-01-01},
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Dennis, Emily; Olsen, Alexander; Adamson, Maheen; Amiri, Houshang; Bigler, Erin; Caeyenberghs, Karen; Dams-O'Connor, Kristen; Deutscher, Evelyn; Dobryakova, Ekaterina; Genova, Helen; others,
Moderate/severe traumatic brain injury accelerates normal brain aging Journal Article
In: Journal of Neurotrauma, vol. 39, no. 11-12, pp. A–50, 2022.
@article{dennis2022moderate,
title = {Moderate/severe traumatic brain injury accelerates normal brain aging},
author = { Emily Dennis and Alexander Olsen and Maheen Adamson and Houshang Amiri and Erin Bigler and Karen Caeyenberghs and Kristen Dams-O'Connor and Evelyn Deutscher and Ekaterina Dobryakova and Helen Genova and others},
url = {https://research.usc.edu.au/esploro/outputs/abstract/Moderatesevere-traumatic-brain-injury-accelerates-normal/99668498002621},
year = {2022},
date = {2022-01-01},
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publisher = {Mary Ann Liebert, Inc. Publishers},
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Imms, Phoebe; Clemente, Adam; Deutscher, Evelyn; Radwan, Ahmed M; Akhlaghi, Hamed; Beech, Paul; Wilson, Peter H; Irimia, Andrei; Poudel, Govinda; Duque, Juan F Domínguez; others,
Exploring personalised structural connectomics for moderate-to-severe traumatic brain injury Journal Article
In: Network Neuroscience, pp. 1–50, 2022.
@article{imms2022exploring,
title = {Exploring personalised structural connectomics for moderate-to-severe traumatic brain injury},
author = {Phoebe Imms and Adam Clemente and Evelyn Deutscher and Ahmed M Radwan and Hamed Akhlaghi and Paul Beech and Peter H Wilson and Andrei Irimia and Govinda Poudel and Juan F Domínguez Duque and others},
url = {https://direct.mit.edu/netn/article/7/1/160/112991/Exploring-personalized-structural-connectomics-for},
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Parsons, Nicholas; Ugon, Julien; Morgan, Kerri; Shelyag, Sergiy; Hocking, Alex; Chan, Su Yuan; Poudel, Govinda; Caeyenberghs, Karen; others,
Structural-functional connectivity bandwidth of the human brain Journal Article
In: NeuroImage, vol. 263, pp. 119659, 2022.
@article{parsons2022structural,
title = {Structural-functional connectivity bandwidth of the human brain},
author = { Nicholas Parsons and Julien Ugon and Kerri Morgan and Sergiy Shelyag and Alex Hocking and Su Yuan Chan and Govinda Poudel and Karen Caeyenberghs and others},
url = {https://www.sciencedirect.com/science/article/pii/S1053811922007807},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {NeuroImage},
volume = {263},
pages = {119659},
publisher = {Academic Press},
keywords = {},
pubstate = {published},
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Singh, Mervyn; Skippen, Patrick; He, Jason; Thomson, Phoebe; Fuelscher, Ian; Caeyenberghs, Karen; Anderson, Vicki; Nicholson, Jan M; Hyde, Christian; Silk, Timothy J
Longitudinal developmental trajectories of inhibition and white-matter maturation of the fronto-basal-ganglia circuits Journal Article
In: Developmental Cognitive Neuroscience, vol. 58, pp. 101171, 2022.
@article{singh2022longitudinal,
title = {Longitudinal developmental trajectories of inhibition and white-matter maturation of the fronto-basal-ganglia circuits},
author = { Mervyn Singh and Patrick Skippen and Jason He and Phoebe Thomson and Ian Fuelscher and Karen Caeyenberghs and Vicki Anderson and Jan M Nicholson and Christian Hyde and Timothy J Silk},
url = {https://pubmed.ncbi.nlm.nih.gov/36372005/},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {Developmental Cognitive Neuroscience},
volume = {58},
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Fernandez, Lara; Burmester, Alex; Duque, Juan Domínguez; Silk, Timothy J; Hyde, Christian E; Kirkovski, Melissa; Enticott, Peter G; Caeyenberghs, Karen
Examination of Cerebellar Grey-Matter Volume in Children with Neurodevelopmental Disorders: a Coordinated Analysis Using the ACAPULCO Algorithm Journal Article
In: The Cerebellum, pp. 1–7, 2022.
@article{fernandez2022examination,
title = {Examination of Cerebellar Grey-Matter Volume in Children with Neurodevelopmental Disorders: a Coordinated Analysis Using the ACAPULCO Algorithm},
author = {Lara Fernandez and Alex Burmester and Juan Domínguez Duque and Timothy J Silk and Christian E Hyde and Melissa Kirkovski and Peter G Enticott and Karen Caeyenberghs},
url = {https://pubmed.ncbi.nlm.nih.gov/36482028/},
year = {2022},
date = {2022-01-01},
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journal = {The Cerebellum},
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}