Literature DB >> 29451491

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

Samuel J Harrison1, Stephen M Smith1, Janine Diane Bijsterbosch1, Mark W Woolrich2, Matthew F Glasser3,4, Emma C Robinson5, Christian F Beckmann6,7, David C Van Essen3.   

Abstract

Brain connectivity is often considered in terms of the communication between functionally distinct brain regions. Many studies have investigated the extent to which patterns of coupling strength between multiple neural populations relates to behaviour. For example, studies have used 'functional connectivity fingerprints' to characterise individuals' brain activity. Here, we investigate the extent to which the exact spatial arrangement of cortical regions interacts with measures of brain connectivity. We find that the shape and exact location of brain regions interact strongly with the modelling of brain connectivity, and present evidence that the spatial arrangement of functional regions is strongly predictive of non-imaging measures of behaviour and lifestyle. We believe that, in many cases, cross-subject variations in the spatial configuration of functional brain regions are being interpreted as changes in functional connectivity. Therefore, a better understanding of these effects is important when interpreting the relationship between functional imaging data and cognitive traits.
© 2018, Bijsterbosch et al.

Entities:  

Keywords:  fingerprinting; functional connectivity; functional connectomes; human; neuroscience; parcellation; resting state

Mesh:

Year:  2018        PMID: 29451491      PMCID: PMC5860869          DOI: 10.7554/eLife.32992

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  61 in total

1.  Individual parcellation of resting fMRI with a group functional connectivity prior.

Authors:  M Chong; C Bhushan; A A Joshi; S Choi; J P Haldar; D W Shattuck; R N Spreng; R M Leahy
Journal:  Neuroimage       Date:  2017-05-03       Impact factor: 6.556

2.  Functional System and Areal Organization of a Highly Sampled Individual Human Brain.

Authors:  Timothy O Laumann; Evan M Gordon; Babatunde Adeyemo; Abraham Z Snyder; Sung Jun Joo; Mei-Yen Chen; Adrian W Gilmore; Kathleen B McDermott; Steven M Nelson; Nico U F Dosenbach; Bradley L Schlaggar; Jeanette A Mumford; Russell A Poldrack; Steven E Petersen
Journal:  Neuron       Date:  2015-07-23       Impact factor: 17.173

Review 3.  The WU-Minn Human Connectome Project: an overview.

Authors:  David C Van Essen; Stephen M Smith; Deanna M Barch; Timothy E J Behrens; Essa Yacoub; Kamil Ugurbil
Journal:  Neuroimage       Date:  2013-05-16       Impact factor: 6.556

4.  Resting state network estimation in individual subjects.

Authors:  Eric C Leuthardt; Maurizio Corbetta; Carl D Hacker; Timothy O Laumann; Nicholas P Szrama; Antonello Baldassarre; Abraham Z Snyder
Journal:  Neuroimage       Date:  2013-06-02       Impact factor: 6.556

5.  Backwardness of human neuroanatomy.

Authors:  F Crick; E Jones
Journal:  Nature       Date:  1993-01-14       Impact factor: 49.962

Review 6.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

7.  Aberrant Functional Connectivity in the Default Mode and Central Executive Networks in Subjects with Schizophrenia - A Whole-Brain Resting-State ICA Study.

Authors:  Harri Littow; Ville Huossa; Sami Karjalainen; Erika Jääskeläinen; Marianne Haapea; Jouko Miettunen; Osmo Tervonen; Matti Isohanni; Juha Nikkinen; Juha Veijola; Graham Murray; Vesa J Kiviniemi
Journal:  Front Psychiatry       Date:  2015-02-26       Impact factor: 4.157

8.  Disambiguating brain functional connectivity.

Authors:  Eugene P Duff; Tamar Makin; Michiel Cottaar; Stephen M Smith; Mark W Woolrich
Journal:  Neuroimage       Date:  2018-02-21       Impact factor: 6.556

9.  Multimodal surface matching with higher-order smoothness constraints.

Authors:  Emma C Robinson; Kara Garcia; Matthew F Glasser; Zhengdao Chen; Timothy S Coalson; Antonios Makropoulos; Jelena Bozek; Robert Wright; Andreas Schuh; Matthew Webster; Jana Hutter; Anthony Price; Lucilio Cordero Grande; Emer Hughes; Nora Tusor; Philip V Bayly; David C Van Essen; Stephen M Smith; A David Edwards; Joseph Hajnal; Mark Jenkinson; Ben Glocker; Daniel Rueckert
Journal:  Neuroimage       Date:  2017-10-31       Impact factor: 6.556

10.  The minimal preprocessing pipelines for the Human Connectome Project.

Authors:  Matthew F Glasser; Stamatios N Sotiropoulos; J Anthony Wilson; Timothy S Coalson; Bruce Fischl; Jesper L Andersson; Junqian Xu; Saad Jbabdi; Matthew Webster; Jonathan R Polimeni; David C Van Essen; Mark Jenkinson
Journal:  Neuroimage       Date:  2013-05-11       Impact factor: 6.556

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  59 in total

1.  Individual Variation in Functional Topography of Association Networks in Youth.

Authors:  Zaixu Cui; Hongming Li; Cedric H Xia; Bart Larsen; Azeez Adebimpe; Graham L Baum; Matt Cieslak; Raquel E Gur; Ruben C Gur; Tyler M Moore; Desmond J Oathes; Aaron F Alexander-Bloch; Armin Raznahan; David R Roalf; Russell T Shinohara; Daniel H Wolf; Christos Davatzikos; Danielle S Bassett; Damien A Fair; Yong Fan; Theodore D Satterthwaite
Journal:  Neuron       Date:  2020-02-19       Impact factor: 17.173

Review 2.  Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks.

Authors:  Lucina Q Uddin; B T Thomas Yeo; R Nathan Spreng
Journal:  Brain Topogr       Date:  2019-11-09       Impact factor: 3.020

3.  The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability.

Authors:  Richard F Betzel; Maxwell A Bertolero; Evan M Gordon; Caterina Gratton; Nico U F Dosenbach; Danielle S Bassett
Journal:  Neuroimage       Date:  2019-07-07       Impact factor: 6.556

Review 4.  Parcellating Cerebral Cortex: How Invasive Animal Studies Inform Noninvasive Mapmaking in Humans.

Authors:  David C Van Essen; Matthew F Glasser
Journal:  Neuron       Date:  2018-08-22       Impact factor: 17.173

5.  Individual Variation in Functional Brain Network Topography is Linked to Schizophrenia Symptomatology.

Authors:  Uzma Nawaz; Ivy Lee; Adam Beermann; Shaun Eack; Matcheri Keshavan; Roscoe Brady
Journal:  Schizophr Bull       Date:  2021-01-23       Impact factor: 9.306

Review 6.  Challenges and future directions for representations of functional brain organization.

Authors:  Janine Bijsterbosch; Samuel J Harrison; Saad Jbabdi; Mark Woolrich; Christian Beckmann; Stephen Smith; Eugene P Duff
Journal:  Nat Neurosci       Date:  2020-10-26       Impact factor: 24.884

7.  Trait-like variants in human functional brain networks.

Authors:  Benjamin A Seitzman; Caterina Gratton; Timothy O Laumann; Evan M Gordon; Babatunde Adeyemo; Ally Dworetsky; Brian T Kraus; Adrian W Gilmore; Jeffrey J Berg; Mario Ortega; Annie Nguyen; Deanna J Greene; Kathleen B McDermott; Steven M Nelson; Christina N Lessov-Schlaggar; Bradley L Schlaggar; Nico U F Dosenbach; Steven E Petersen
Journal:  Proc Natl Acad Sci U S A       Date:  2019-10-14       Impact factor: 11.205

8.  Default-mode network streams for coupling to language and control systems.

Authors:  Evan M Gordon; Timothy O Laumann; Scott Marek; Ryan V Raut; Caterina Gratton; Dillan J Newbold; Deanna J Greene; Rebecca S Coalson; Abraham Z Snyder; Bradley L Schlaggar; Steven E Petersen; Nico U F Dosenbach; Steven M Nelson
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-06       Impact factor: 11.205

9.  Individual variation in brain network topology is linked to emotional intelligence.

Authors:  George Ling; Ivy Lee; Synthia Guimond; Olivia Lutz; Neeraj Tandon; Uzma Nawaz; Dost Öngür; Shaun Eack; Kathryn E Lewandowski; Matcheri Keshavan; Roscoe Brady
Journal:  Neuroimage       Date:  2019-01-08       Impact factor: 6.556

10.  Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.

Authors:  Ru Kong; Jingwei Li; Csaba Orban; Mert R Sabuncu; Hesheng Liu; Alexander Schaefer; Nanbo Sun; Xi-Nian Zuo; Avram J Holmes; Simon B Eickhoff; B T Thomas Yeo
Journal:  Cereb Cortex       Date:  2019-06-01       Impact factor: 5.357

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