Literature DB >> 32781259

How functional network connectivity changes as a result of lesion and recovery: An investigation of the network phenotype of stroke.

Yuan Tao1, Brenda Rapp2.   

Abstract

This study, through a series of univariate and multivariate (classification) analyses, investigated fMRI task-based functional connectivity (FC) at pre- and post-treatment time-points in 18 individuals with chronic post-stroke dysgraphia. The investigation examined the effects of lesion and treatment-based recovery on functional organization, focusing on both inter-hemispheric (homotopic) and intra-hemispheric connectivity. The work confirmed, in the chronic stage, the "network phenotype of stroke injury" proposed by Siegel et al. (2016) consisting of abnormally low inter-hemispheric connectivity as well as abnormally high intra-hemispheric (ipsilesional) connectivity. In terms of recovery-based changes in FC, this study found overall hyper-normalization of these abnormal inter and intra-hemispheric connectivity patterns, suggestive of over-correction. Specifically, treatment-related homotopic FC increases were observed between left and right dorsal frontal-parietal regions. With regard to intra-hemispheric connections, recovery was dominated by increased ipsilateral connectivity between frontal and parietal regions along with decreased connectivity between the frontal regions and posterior parietal-occipital-temporal areas. Both inter and intra-hemispheric changes were associated with treatment-driven improvements in spelling performance. We suggest an interpretation according to which, with treatment, as posterior orthographic processing areas become more effective, executive control from frontal-parietal networks becomes less necessary.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Functional connectivity; Functional network; Language deficit; Neuroplasticity; Stroke recovery

Mesh:

Year:  2020        PMID: 32781259      PMCID: PMC9088558          DOI: 10.1016/j.cortex.2020.06.011

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.644


  78 in total

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Authors:  Peter E Turkeltaub
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Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-31       Impact factor: 11.205

3.  Distinct brain networks for adaptive and stable task control in humans.

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-18       Impact factor: 11.205

Review 4.  Multivariate pattern analysis of fMRI: the early beginnings.

Authors:  James V Haxby
Journal:  Neuroimage       Date:  2012-03-09       Impact factor: 6.556

Review 5.  Machine learning classifiers and fMRI: a tutorial overview.

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6.  Functional Specialization and Flexibility in Human Association Cortex.

Authors:  B T Thomas Yeo; Fenna M Krienen; Simon B Eickhoff; Siti N Yaakub; Peter T Fox; Randy L Buckner; Christopher L Asplund; Michael W L Chee
Journal:  Cereb Cortex       Date:  2014-09-23       Impact factor: 5.357

7.  Examining the central and peripheral processes of written word production through meta-analysis.

Authors:  Jeremy J Purcell; Peter E Turkeltaub; Guinevere F Eden; Brenda Rapp
Journal:  Front Psychol       Date:  2011-10-11

8.  Stroke Recovery: Surprising Influences and Residual Consequences.

Authors:  Argye E Hillis; Donna C Tippett
Journal:  Adv Med       Date:  2014

9.  Imaging network level language recovery after left PCA stroke.

Authors:  Rajani Sebastian; Charltien Long; Jeremy J Purcell; Andreia V Faria; Martin Lindquist; Samson Jarso; David Race; Cameron Davis; Joseph Posner; Amy Wright; Argye E Hillis
Journal:  Restor Neurol Neurosci       Date:  2016-05-11       Impact factor: 2.406

10.  The effects of lesion and treatment-related recovery on functional network modularity in post-stroke dysgraphia.

Authors:  Yuan Tao; Brenda Rapp
Journal:  Neuroimage Clin       Date:  2019-05-22       Impact factor: 4.881

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  1 in total

1.  Abnormally weak functional connections get stronger in chronic stroke patients who benefit from naming therapy.

Authors:  Jeffrey P Johnson; Erin L Meier; Yue Pan; Swathi Kiran
Journal:  Brain Lang       Date:  2021-10-22       Impact factor: 2.381

  1 in total

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