Literature DB >> 34478823

Multiscale communication in cortico-cortical networks.

Vincent Bazinet1, Reinder Vos de Wael1, Patric Hagmann2, Boris C Bernhardt1, Bratislav Misic3.   

Abstract

Signaling in brain networks unfolds over multiple topological scales. Areas may exchange information over local circuits, encompassing direct neighbours and areas with similar functions, or over global circuits, encompassing distant neighbours with dissimilar functions. Here we study how the organization of cortico-cortical networks mediate localized and global communication by parametrically tuning the range at which signals are transmitted on the white matter connectome. We show that brain regions vary in their preferred communication scale. By investigating the propensity for brain areas to communicate with their neighbors across multiple scales, we naturally reveal their functional diversity: unimodal regions show preference for local communication and multimodal regions show preferences for global communication. We show that these preferences manifest as region- and scale-specific structure-function coupling. Namely, the functional connectivity of unimodal regions emerges from monosynaptic communication in small-scale circuits, while the functional connectivity of transmodal regions emerges from polysynaptic communication in large-scale circuits. Altogether, the present findings reveal that communication preferences are highly heterogeneous across the cortex, shaping regional differences in structure-function coupling.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Brain networks; Connectome; Hierarchy; Network communication; Structure-function

Mesh:

Year:  2021        PMID: 34478823     DOI: 10.1016/j.neuroimage.2021.118546

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  6 in total

1.  Hippocampus-based static functional connectivity mapping within white matter in mild cognitive impairment.

Authors:  Yuan Jiang; Pan Wang; Jiaping Wen; Jianlin Wang; Hongyi Li; Bharat B Biswal
Journal:  Brain Struct Funct       Date:  2022-07-22       Impact factor: 3.748

Review 2.  Null models in network neuroscience.

Authors:  František Váša; Bratislav Mišić
Journal:  Nat Rev Neurosci       Date:  2022-05-31       Impact factor: 38.755

3.  Dissociable multi-scale patterns of development in personalized brain networks.

Authors:  Adam R Pines; Bart Larsen; Zaixu Cui; Valerie J Sydnor; Maxwell A Bertolero; Azeez Adebimpe; Aaron F Alexander-Bloch; Christos Davatzikos; Damien A Fair; Ruben C Gur; Raquel E Gur; Hongming Li; Michael P Milham; Tyler M Moore; Kristin Murtha; Linden Parkes; Sharon L Thompson-Schill; Sheila Shanmugan; Russell T Shinohara; Sarah M Weinstein; Danielle S Bassett; Yong Fan; Theodore D Satterthwaite
Journal:  Nat Commun       Date:  2022-05-12       Impact factor: 17.694

4.  Developmental coupling of cerebral blood flow and fMRI fluctuations in youth.

Authors:  Erica B Baller; Alessandra M Valcarcel; Azeez Adebimpe; Aaron Alexander-Bloch; Zaixu Cui; Ruben C Gur; Raquel E Gur; Bart L Larsen; Kristin A Linn; Carly M O'Donnell; Adam R Pines; Armin Raznahan; David R Roalf; Valerie J Sydnor; Tinashe M Tapera; M Dylan Tisdall; Simon Vandekar; Cedric H Xia; John A Detre; Russell T Shinohara; Theodore D Satterthwaite
Journal:  Cell Rep       Date:  2022-03-29       Impact factor: 9.423

5.  Local molecular and global connectomic contributions to cross-disorder cortical abnormalities.

Authors:  Justine Y Hansen; Golia Shafiei; Jacob W Vogel; Kelly Smart; Carrie E Bearden; Martine Hoogman; Barbara Franke; Daan van Rooij; Jan Buitelaar; Carrie R McDonald; Sanjay M Sisodiya; Lianne Schmaal; Dick J Veltman; Odile A van den Heuvel; Dan J Stein; Theo G M van Erp; Christopher R K Ching; Ole A Andreassen; Tomas Hajek; Nils Opel; Gemma Modinos; André Aleman; Ysbrand van der Werf; Neda Jahanshad; Sophia I Thomopoulos; Paul M Thompson; Richard E Carson; Alain Dagher; Bratislav Misic
Journal:  Nat Commun       Date:  2022-08-10       Impact factor: 17.694

6.  Network Controllability in Transmodal Cortex Predicts Positive Psychosis Spectrum Symptoms.

Authors:  Linden Parkes; Tyler M Moore; Monica E Calkins; Matthew Cieslak; David R Roalf; Daniel H Wolf; Ruben C Gur; Raquel E Gur; Theodore D Satterthwaite; Danielle S Bassett
Journal:  Biol Psychiatry       Date:  2021-03-21       Impact factor: 12.810

  6 in total

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