Literature DB >> 33991695

Inter-regional BOLD signal variability is an organizational feature of functional brain networks.

Giulia Baracchini1, Bratislav Mišić2, Roni Setton3, Laetitia Mwilambwe-Tshilobo3, Manesh Girn3, Jason S Nomi4, Lucina Q Uddin4, Gary R Turner5, R Nathan Spreng6.   

Abstract

Neuronal variability patterns promote the formation and organization of neural circuits. Macroscale similarities in regional variability patterns may therefore be linked to the strength and topography of inter-regional functional connections. To assess this relationship, we used multi-echo resting-state fMRI and investigated macroscale connectivity-variability associations in 154 adult humans (86 women; mean age = 22yrs). We computed inter-regional measures of moment-to-moment BOLD signal variability and related them to inter-regional functional connectivity. Region pairs that showed stronger functional connectivity also showed similar BOLD signal variability patterns, independent of inter-regional distance and structural similarity. Connectivity-variability associations were predominant within all networks and followed a hierarchical spatial organization that separated sensory, motor and attention systems from limbic, default and frontoparietal control association networks. Results were replicated in a second held-out fMRI run. These findings suggest that macroscale BOLD signal variability is an organizational feature of large-scale functional networks, and shared inter-regional BOLD signal variability may underlie macroscale brain network dynamics.
Copyright © 2021. Published by Elsevier Inc.

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Year:  2021        PMID: 33991695      PMCID: PMC8970039          DOI: 10.1016/j.neuroimage.2021.118149

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   7.400


  78 in total

1.  Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases.

Authors:  David C Van Essen; Matthew F Glasser; Donna L Dierker; John Harwell; Timothy Coalson
Journal:  Cereb Cortex       Date:  2011-11-02       Impact factor: 5.357

2.  Network centrality in the human functional connectome.

Authors:  Xi-Nian Zuo; Ross Ehmke; Maarten Mennes; Davide Imperati; F Xavier Castellanos; Olaf Sporns; Michael P Milham
Journal:  Cereb Cortex       Date:  2011-10-02       Impact factor: 5.357

3.  Time-resolved resting-state brain networks.

Authors:  Andrew Zalesky; Alex Fornito; Luca Cocchi; Leonardo L Gollo; Michael Breakspear
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-30       Impact factor: 11.205

4.  The development of a noisy brain.

Authors:  A R McIntosh; N Kovacevic; S Lippe; D Garrett; C Grady; V Jirsa
Journal:  Arch Ital Biol       Date:  2010-09       Impact factor: 1.000

5.  Variability of brain signals processed locally transforms into higher connectivity with brain development.

Authors:  Vasily A Vakorin; Sarah Lippé; Anthony R McIntosh
Journal:  J Neurosci       Date:  2011-04-27       Impact factor: 6.167

6.  Brain networks, dimensionality, and global signal averaging in resting-state fMRI: Hierarchical network structure results in low-dimensional spatiotemporal dynamics.

Authors:  Stephen J Gotts; Adrian W Gilmore; Alex Martin
Journal:  Neuroimage       Date:  2019-10-17       Impact factor: 6.556

Review 7.  Multi-echo fMRI: A review of applications in fMRI denoising and analysis of BOLD signals.

Authors:  Prantik Kundu; Valerie Voon; Priti Balchandani; Michael V Lombardo; Benedikt A Poser; Peter A Bandettini
Journal:  Neuroimage       Date:  2017-03-29       Impact factor: 6.556

8.  Dispersion of functional gradients across the adult lifespan.

Authors:  Richard A I Bethlehem; Casey Paquola; Jakob Seidlitz; Lisa Ronan; Boris Bernhardt; Cam-Can Consortium; Kamen A Tsvetanov
Journal:  Neuroimage       Date:  2020-08-21       Impact factor: 6.556

9.  Integrated strategy for improving functional connectivity mapping using multiecho fMRI.

Authors:  Prantik Kundu; Noah D Brenowitz; Valerie Voon; Yulia Worbe; Petra E Vértes; Souheil J Inati; Ziad S Saad; Peter A Bandettini; Edward T Bullmore
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-13       Impact factor: 11.205

10.  Noise during rest enables the exploration of the brain's dynamic repertoire.

Authors:  Anandamohan Ghosh; Y Rho; A R McIntosh; R Kötter; V K Jirsa
Journal:  PLoS Comput Biol       Date:  2008-10-10       Impact factor: 4.475

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  3 in total

1.  Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures.

Authors:  R Nathan Spreng; Roni Setton; Udi Alter; Benjamin N Cassidy; Bri Darboh; Elizabeth DuPre; Karin Kantarovich; Amber W Lockrow; Laetitia Mwilambwe-Tshilobo; Wen-Ming Luh; Prantik Kundu; Gary R Turner
Journal:  Sci Data       Date:  2022-03-29       Impact factor: 6.444

2.  Network-level permutation entropy of resting-state MEG recordings: A novel biomarker for early-stage Alzheimer's disease?

Authors:  Elliz P Scheijbeler; Anne M van Nifterick; Cornelis J Stam; Arjan Hillebrand; Alida A Gouw; Willem de Haan
Journal:  Netw Neurosci       Date:  2022-06-01

3.  Resting-State Brain Variability in Youth With Attention-Deficit/Hyperactivity Disorder.

Authors:  Soon-Beom Hong; Seungsik Hwang
Journal:  Front Psychiatry       Date:  2022-07-12       Impact factor: 5.435

  3 in total

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