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  • 标题:Functional Integration in the Default-Mode Network: Modifications Following Intensive Semantic Feature Analysis in Chronic Aphasia
  • 本地全文:下载
  • 作者:Karine Marcotte ; Karine Marcotte ; Vincent Perlbarg
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2011
  • 卷号:23
  • 页码:169-170
  • DOI:10.1016/j.sbspro.2011.09.223
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Functional connectivity (FC) analysis has allowed the detection of compensatory activity in chronic aphasia, unrevealed by standard GLM group analysis (Specht et al., 2009). Among the FC methods, spatial independent component analysis (sICA) decomposes BOLD signals of the whole brain into spatial networks with no a priori hypotheses. Among the well-known networks, default-mode network (DMN) consists of a set of functionally connected areas which seems to be modulated by the degree of cognitive control required. This fMRI study uses sICAto describe therapy-induced FC changes in the DMN following Semantic Feature Analysis (SFA) in a group of participants with chronic aphasia (PWA), as compared to controls.
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