The relationship between spatial configuration and functional connectivity of brain regions revisited

Previously we showed that network-based modelling of brain connectivity interacts strongly with the shape and exact location of brain regions, such that cross-subject variations in the spatial configuration of functional brain regions are being interpreted as changes in functional connectivity (Bijs...

Full description

Bibliographic Details
Main Authors: Janine Diane Bijsterbosch, Christian F Beckmann, Mark W Woolrich, Stephen M Smith, Samuel J Harrison
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2019-05-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/44890
id doaj-de272dd0b819426492749715f4487857
record_format Article
spelling doaj-de272dd0b819426492749715f44878572021-05-05T17:36:04ZengeLife Sciences Publications LtdeLife2050-084X2019-05-01810.7554/eLife.44890The relationship between spatial configuration and functional connectivity of brain regions revisitedJanine Diane Bijsterbosch0https://orcid.org/0000-0002-1385-9178Christian F Beckmann1Mark W Woolrich2Stephen M Smith3Samuel J Harrison4https://orcid.org/0000-0002-5886-2389Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United KingdomDonders Institute, Department of Cognitive Neurosciences, Radboud University Medical Centre, Nijmegen, NetherlandsCentre for Human Brain Activity (OHBA), Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United KingdomCentre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United KingdomCentre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United KingdomPreviously we showed that network-based modelling of brain connectivity interacts strongly with the shape and exact location of brain regions, such that cross-subject variations in the spatial configuration of functional brain regions are being interpreted as changes in functional connectivity (Bijsterbosch et al., 2018). Here we show that these spatial effects on connectivity estimates actually occur as a result of spatial overlap between brain networks. This is shown to systematically bias connectivity estimates obtained from group spatial ICA followed by dual regression. We introduce an extended method that addresses the bias and achieves more accurate connectivity estimates.https://elifesciences.org/articles/44890resting stateparcellationfunctional connectivityfunctional connectomesdual regression
collection DOAJ
language English
format Article
sources DOAJ
author Janine Diane Bijsterbosch
Christian F Beckmann
Mark W Woolrich
Stephen M Smith
Samuel J Harrison
spellingShingle Janine Diane Bijsterbosch
Christian F Beckmann
Mark W Woolrich
Stephen M Smith
Samuel J Harrison
The relationship between spatial configuration and functional connectivity of brain regions revisited
eLife
resting state
parcellation
functional connectivity
functional connectomes
dual regression
author_facet Janine Diane Bijsterbosch
Christian F Beckmann
Mark W Woolrich
Stephen M Smith
Samuel J Harrison
author_sort Janine Diane Bijsterbosch
title The relationship between spatial configuration and functional connectivity of brain regions revisited
title_short The relationship between spatial configuration and functional connectivity of brain regions revisited
title_full The relationship between spatial configuration and functional connectivity of brain regions revisited
title_fullStr The relationship between spatial configuration and functional connectivity of brain regions revisited
title_full_unstemmed The relationship between spatial configuration and functional connectivity of brain regions revisited
title_sort relationship between spatial configuration and functional connectivity of brain regions revisited
publisher eLife Sciences Publications Ltd
series eLife
issn 2050-084X
publishDate 2019-05-01
description Previously we showed that network-based modelling of brain connectivity interacts strongly with the shape and exact location of brain regions, such that cross-subject variations in the spatial configuration of functional brain regions are being interpreted as changes in functional connectivity (Bijsterbosch et al., 2018). Here we show that these spatial effects on connectivity estimates actually occur as a result of spatial overlap between brain networks. This is shown to systematically bias connectivity estimates obtained from group spatial ICA followed by dual regression. We introduce an extended method that addresses the bias and achieves more accurate connectivity estimates.
topic resting state
parcellation
functional connectivity
functional connectomes
dual regression
url https://elifesciences.org/articles/44890
work_keys_str_mv AT janinedianebijsterbosch therelationshipbetweenspatialconfigurationandfunctionalconnectivityofbrainregionsrevisited
AT christianfbeckmann therelationshipbetweenspatialconfigurationandfunctionalconnectivityofbrainregionsrevisited
AT markwwoolrich therelationshipbetweenspatialconfigurationandfunctionalconnectivityofbrainregionsrevisited
AT stephenmsmith therelationshipbetweenspatialconfigurationandfunctionalconnectivityofbrainregionsrevisited
AT samueljharrison therelationshipbetweenspatialconfigurationandfunctionalconnectivityofbrainregionsrevisited
AT janinedianebijsterbosch relationshipbetweenspatialconfigurationandfunctionalconnectivityofbrainregionsrevisited
AT christianfbeckmann relationshipbetweenspatialconfigurationandfunctionalconnectivityofbrainregionsrevisited
AT markwwoolrich relationshipbetweenspatialconfigurationandfunctionalconnectivityofbrainregionsrevisited
AT stephenmsmith relationshipbetweenspatialconfigurationandfunctionalconnectivityofbrainregionsrevisited
AT samueljharrison relationshipbetweenspatialconfigurationandfunctionalconnectivityofbrainregionsrevisited
_version_ 1721459143562231808