MURAGAKI Yoshihiro
   Department   School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine
   Position   Visiting Professor
Article types Original article
Language English
Peer review Peer reviewed
Title Task-Induced Functional Connectivity of the Syntax-Related Networks for Patients with a Cortical Glioma.
Journal Formal name：Cerebral cortex communications
Abbreviation：Cereb Cortex Commun
ISSN code：26327376/26327376
Domestic / ForeginForegin
Volume, Issue, Page 1(1),pp.tgaa061
Author and coauthor TANAKA, Kyohei†, KINNO Ryuta, MURAGAKI Yoshihiro, MARUYAMA Takashi, SAKAI Kuniyoshi L*
Publication date 2020/07/24
Summary Analysis of the functional connectivity has enabled understanding of the cortical networks. In the present study, we used a picture-sentence matching task to introduce syntactically harder conditions, and clarified 3 major points. First, patients with a glioma in the lateral premotor cortex/inferior frontal gyrus or in other cortical regions showed much weaker activations than controls, especially in the left inferior frontal gyrus. Moreover, the error rates under the harder conditions were much higher for these patients. Secondly, syntactic loads induced selective connectivity with enhancement and suppression, consistently for both patients and controls. More specifically, the local connectivity was enhanced among the 3 syntax-related networks within the left frontal cortex, while the global connectivity of both dorsal and ventral pathways was suppressed. In addition, the exact reproducibility of r-values across the control and patient groups was remarkable, since under easier conditions alone, connectivity patterns for the patients were completely unmatched with those for the controls. Thirdly, we found an additional syntax-related network, further confirming the intergroup similarity of task-induced functional connectivity. These results indicate that functional connectivity of agrammatic patients is mostly preserved regardless of a glioma, and that the connectivity can change dynamically and systematically according to syntactic loads.
DOI 10.1093/texcom/tgaa061
PMID 34296124