<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Tao Y</submitter><funding>NIDCD NIH HHS</funding><funding>National Institute on Deafness and Other Communication Disorders</funding><pagination>17-41</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9088558</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>131</volume><pubmed_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.</pubmed_abstract><journal>Cortex; a journal devoted to the study of the nervous system and behavior</journal><pubmed_title>How functional network connectivity changes as a result of lesion and recovery: An investigation of the network phenotype of stroke.</pubmed_title><pmcid>PMC9088558</pmcid><funding_grant_id>P50 DC012283</funding_grant_id><pubmed_authors>Tao Y</pubmed_authors><pubmed_authors>Rapp B</pubmed_authors></additional><is_claimable>false</is_claimable><name>How functional network connectivity changes as a result of lesion and recovery: An investigation of the network phenotype of stroke.</name><description>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.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Oct</publication><modification>2025-04-04T07:46:20.051Z</modification><creation>2025-04-04T07:46:20.051Z</creation></dates><accession>S-EPMC9088558</accession><cross_references><pubmed>32781259</pubmed><doi>10.1016/j.cortex.2020.06.011</doi></cross_references></HashMap>