Cargando…

Topological correlations of structural and functional networks in patients with traumatic brain injury

Despite an increasing amount of specific correlation studies between structural and functional connectivity, there is still a need for combined studies, especially in pathological conditions. Impairments of brain white matter (WM) and diffuse axonal injuries are commonly suspected to be responsible...

Descripción completa

Detalles Bibliográficos
Autores principales: Caeyenberghs, Karen, Leemans, Alexander, Leunissen, Inge, Michiels, Karla, Swinnen, Stephan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817367/
https://www.ncbi.nlm.nih.gov/pubmed/24204337
http://dx.doi.org/10.3389/fnhum.2013.00726
_version_ 1782478065052418048
author Caeyenberghs, Karen
Leemans, Alexander
Leunissen, Inge
Michiels, Karla
Swinnen, Stephan P.
author_facet Caeyenberghs, Karen
Leemans, Alexander
Leunissen, Inge
Michiels, Karla
Swinnen, Stephan P.
author_sort Caeyenberghs, Karen
collection PubMed
description Despite an increasing amount of specific correlation studies between structural and functional connectivity, there is still a need for combined studies, especially in pathological conditions. Impairments of brain white matter (WM) and diffuse axonal injuries are commonly suspected to be responsible for the disconnection hypothesis in traumatic brain injury (TBI) patients. Moreover, our previous research on TBI patients shows a strong relationship between abnormalities in topological organization of brain networks and behavioral deficits. In this study, we combined task-related functional connectivity (using event-related fMRI) with structural connectivity (derived from fiber tractography using diffusion MRI data) estimates in the same participants (17 adults with TBI and 16 controls), allowing for direct comparison between graph metrics of the different imaging modalities. Connectivity matrices were computed covering the switching motor network, which includes the basal ganglia, anterior cingulate cortex/supplementary motor area, and anterior insula/inferior frontal gyrus. The edges constituting this network consisted of the partial correlations between the fMRI time series from each node of the switching motor network. The interregional anatomical connections between the switching-related areas were determined using the fiber tractography results. We found that graph metrics and hubs obtained showed no agreement in both groups. The topological properties of brain functional networks could not be solely accounted for by the properties of the underlying structural networks. However, combining complementary information from both imaging modalities could improve accuracy in prediction of switching performance. Direct comparison between functional task-related and anatomical structural connectivity, presented here for the first time in TBI patients, links two powerful approaches to map the patterns of brain connectivity that may underlie behavioral deficits in brain-injured patients.
format Online
Article
Text
id pubmed-3817367
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-38173672013-11-07 Topological correlations of structural and functional networks in patients with traumatic brain injury Caeyenberghs, Karen Leemans, Alexander Leunissen, Inge Michiels, Karla Swinnen, Stephan P. Front Hum Neurosci Neuroscience Despite an increasing amount of specific correlation studies between structural and functional connectivity, there is still a need for combined studies, especially in pathological conditions. Impairments of brain white matter (WM) and diffuse axonal injuries are commonly suspected to be responsible for the disconnection hypothesis in traumatic brain injury (TBI) patients. Moreover, our previous research on TBI patients shows a strong relationship between abnormalities in topological organization of brain networks and behavioral deficits. In this study, we combined task-related functional connectivity (using event-related fMRI) with structural connectivity (derived from fiber tractography using diffusion MRI data) estimates in the same participants (17 adults with TBI and 16 controls), allowing for direct comparison between graph metrics of the different imaging modalities. Connectivity matrices were computed covering the switching motor network, which includes the basal ganglia, anterior cingulate cortex/supplementary motor area, and anterior insula/inferior frontal gyrus. The edges constituting this network consisted of the partial correlations between the fMRI time series from each node of the switching motor network. The interregional anatomical connections between the switching-related areas were determined using the fiber tractography results. We found that graph metrics and hubs obtained showed no agreement in both groups. The topological properties of brain functional networks could not be solely accounted for by the properties of the underlying structural networks. However, combining complementary information from both imaging modalities could improve accuracy in prediction of switching performance. Direct comparison between functional task-related and anatomical structural connectivity, presented here for the first time in TBI patients, links two powerful approaches to map the patterns of brain connectivity that may underlie behavioral deficits in brain-injured patients. Frontiers Media S.A. 2013-11-05 /pmc/articles/PMC3817367/ /pubmed/24204337 http://dx.doi.org/10.3389/fnhum.2013.00726 Text en Copyright © 2013 Caeyenberghs, Leemans, Leunissen, Michiels and Swinnen. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Caeyenberghs, Karen
Leemans, Alexander
Leunissen, Inge
Michiels, Karla
Swinnen, Stephan P.
Topological correlations of structural and functional networks in patients with traumatic brain injury
title Topological correlations of structural and functional networks in patients with traumatic brain injury
title_full Topological correlations of structural and functional networks in patients with traumatic brain injury
title_fullStr Topological correlations of structural and functional networks in patients with traumatic brain injury
title_full_unstemmed Topological correlations of structural and functional networks in patients with traumatic brain injury
title_short Topological correlations of structural and functional networks in patients with traumatic brain injury
title_sort topological correlations of structural and functional networks in patients with traumatic brain injury
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817367/
https://www.ncbi.nlm.nih.gov/pubmed/24204337
http://dx.doi.org/10.3389/fnhum.2013.00726
work_keys_str_mv AT caeyenberghskaren topologicalcorrelationsofstructuralandfunctionalnetworksinpatientswithtraumaticbraininjury
AT leemansalexander topologicalcorrelationsofstructuralandfunctionalnetworksinpatientswithtraumaticbraininjury
AT leunisseninge topologicalcorrelationsofstructuralandfunctionalnetworksinpatientswithtraumaticbraininjury
AT michielskarla topologicalcorrelationsofstructuralandfunctionalnetworksinpatientswithtraumaticbraininjury
AT swinnenstephanp topologicalcorrelationsofstructuralandfunctionalnetworksinpatientswithtraumaticbraininjury