Literature DB >> 29414460

Re-emergence of modular brain networks in stroke recovery.

Joshua S Siegel1, Benjamin A Seitzman2, Lenny E Ramsey3, Mario Ortega4, Evan M Gordon5, Nico U F Dosenbach6, Steven E Petersen7, Gordon L Shulman8, Maurizio Corbetta9.   

Abstract

Studies of stroke have identified local reorganization in perilesional tissue. However, because the brain is highly networked, strokes also broadly alter the brain's global network organization. Here, we assess brain network structure longitudinally in adult stroke patients using resting state fMRI. The topology and boundaries of cortical regions remain grossly unchanged across recovery. In contrast, the modularity of brain systems i.e. the degree of integration within and segregation between networks, was significantly reduced sub-acutely (n = 107), but partially recovered by 3 months (n = 85), and 1 year (n = 67). Importantly, network recovery correlated with recovery from language, spatial memory, and attention deficits, but not motor or visual deficits. Finally, in-depth single subject analyses were conducted using tools for visualization of changes in brain networks over time. This exploration indicated that changes in modularity during successful recovery reflect specific alterations in the relationships between different networks. For example, in a patient with left temporo-parietal stroke and severe aphasia, sub-acute loss of modularity reflected loss of association between frontal and temporo-parietal regions bi-hemispherically across multiple modules. These long-distance connections then returned over time, paralleling aphasia recovery. This work establishes the potential importance of normalization of large-scale modular brain systems in stroke recovery.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Functional connectivity; Language; Memory; Recovery; Stroke

Mesh:

Year:  2018        PMID: 29414460      PMCID: PMC6527102          DOI: 10.1016/j.cortex.2017.12.019

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  54 in total

1.  High-resolution intersubject averaging and a coordinate system for the cortical surface.

Authors:  B Fischl; M I Sereno; R B Tootell; A M Dale
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

2.  An integrated software suite for surface-based analyses of cerebral cortex.

Authors:  D C Van Essen; H A Drury; J Dickson; J Harwell; D Hanlon; C H Anderson
Journal:  J Am Med Inform Assoc       Date:  2001 Sep-Oct       Impact factor: 4.497

3.  Efficient behavior of small-world networks.

Authors:  V Latora; M Marchiori
Journal:  Phys Rev Lett       Date:  2001-10-17       Impact factor: 9.161

4.  Treatment-induced cortical reorganization after stroke in humans.

Authors:  J Liepert; H Bauder; H R Wolfgang; W H Miltner; E Taub; C Weiller
Journal:  Stroke       Date:  2000-06       Impact factor: 7.914

5.  Fast algorithm for detecting community structure in networks.

Authors:  M E J Newman
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-06-18

6.  The human brain is intrinsically organized into dynamic, anticorrelated functional networks.

Authors:  Michael D Fox; Abraham Z Snyder; Justin L Vincent; Maurizio Corbetta; David C Van Essen; Marcus E Raichle
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-23       Impact factor: 11.205

7.  Intensity and coherence of motifs in weighted complex networks.

Authors:  Jukka-Pekka Onnela; Jari Saramäki; János Kertész; Kimmo Kaski
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-06-13

8.  Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect.

Authors:  Biyu J He; Abraham Z Snyder; Justin L Vincent; Adrian Epstein; Gordon L Shulman; Maurizio Corbetta
Journal:  Neuron       Date:  2007-03-15       Impact factor: 17.173

Review 9.  Small-world brain networks.

Authors:  Danielle Smith Bassett; Ed Bullmore
Journal:  Neuroscientist       Date:  2006-12       Impact factor: 7.519

10.  Inter-individual variability in the capacity for motor recovery after ischemic stroke.

Authors:  Shyam Prabhakaran; Eric Zarahn; Claire Riley; Allison Speizer; Ji Y Chong; Ronald M Lazar; Randolph S Marshall; John W Krakauer
Journal:  Neurorehabil Neural Repair       Date:  2007-08-08       Impact factor: 3.919

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  62 in total

1.  Three Distinct Sets of Connector Hubs Integrate Human Brain Function.

Authors:  Evan M Gordon; Charles J Lynch; Caterina Gratton; Timothy O Laumann; Adrian W Gilmore; Deanna J Greene; Mario Ortega; Annie L Nguyen; Bradley L Schlaggar; Steven E Petersen; Nico U F Dosenbach; Steven M Nelson
Journal:  Cell Rep       Date:  2018-08-14       Impact factor: 9.423

2.  Damage to the shortest structural paths between brain regions is associated with disruptions of resting-state functional connectivity after stroke.

Authors:  Joseph C Griffis; Nicholas V Metcalf; Maurizio Corbetta; Gordon L Shulman
Journal:  Neuroimage       Date:  2020-01-30       Impact factor: 6.556

3.  Indirect White Matter Pathways Are Associated With Treated Naming Improvement in Aphasia.

Authors:  Janina Wilmskoetter; Julius Fridriksson; Alexandra Basilakos; Lorelei Phillip Johnson; Barbara Marebwa; Chris Rorden; Graham Warner; Gregory Hickok; Argye E Hillis; Leonardo Bonilha
Journal:  Neurorehabil Neural Repair       Date:  2021-03-10       Impact factor: 3.919

4.  A Computational Framework for Controlling the Self-Restorative Brain Based on the Free Energy and Degeneracy Principles.

Authors:  Hae-Jeong Park; Jiyoung Kang
Journal:  Front Comput Neurosci       Date:  2021-04-14       Impact factor: 2.380

Review 5.  Cortico-cortical connectivity: the road from basic neurophysiological interactions to therapeutic applications.

Authors:  Giacomo Koch
Journal:  Exp Brain Res       Date:  2020-07-23       Impact factor: 1.972

6.  Structural Disconnections Explain Brain Network Dysfunction after Stroke.

Authors:  Joseph C Griffis; Nicholas V Metcalf; Maurizio Corbetta; Gordon L Shulman
Journal:  Cell Rep       Date:  2019-09-03       Impact factor: 9.423

7.  Functional anomaly mapping reveals local and distant dysfunction caused by brain lesions.

Authors:  Andrew T DeMarco; Peter E Turkeltaub
Journal:  Neuroimage       Date:  2020-04-10       Impact factor: 6.556

8.  Pre-treatment graph measures of a functional semantic network are associated with naming therapy outcomes in chronic aphasia.

Authors:  Jeffrey P Johnson; Erin L Meier; Yue Pan; Swathi Kiran
Journal:  Brain Lang       Date:  2020-06-05       Impact factor: 2.381

9.  Different patterns of functional network reorganization across the variants of primary progressive aphasia: a graph-theoretic analysis.

Authors:  Yuan Tao; Bronte Ficek; Brenda Rapp; Kyrana Tsapkini
Journal:  Neurobiol Aging       Date:  2020-09-08       Impact factor: 4.673

Review 10.  Brain Modularity: A Biomarker of Intervention-related Plasticity.

Authors:  Courtney L Gallen; Mark D'Esposito
Journal:  Trends Cogn Sci       Date:  2019-02-28       Impact factor: 20.229

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