Electrophysiological and functional connectivity of the human supplementary motor area

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• 作者：Shalini Narayana^a ; ^{narayana@uthscsa.edu} ; Angela R. Laird^a ; Nitin Tandon^b ; Crystal Franklin^a ; Jack L. Lancaster^a ; Peter T. Fox^a ; ^c
• 关键词：Functional connectivity ; Positron emission tomography (PET) ; Supplementary motor area (SMA) ; Transcranial magnetic stimulation (TMS) ; BrainMap® ; Meta-analytic connectivity mapping ; Electrophysiological mapping ; Behavioral domain
• 刊名：NeuroImage
• 出版年：2012
• 期刊代码：83_10538119
• 类别：neu
• 出版时间：1 August, 2012
• 卷：62
• 期：1
• 页码：250-265
• 文件大小：1241 K

摘要

Neuro-imaging methods for detecting functional and structural inter-regional connectivity are in a rapid phase of development. While reports of regional connectivity patterns based on individual methods are becoming common, studies comparing the results of two or more connectivity-mapping methods remain rare. In this study, we applied transcranial magnetic stimulation during PET imaging (TMS/PET), a stimulation-based method, and meta-analytic connectivity modeling (MACM), a task-based method to map the connectivity patterns of the supplementary motor area (SMA). Further, we drew upon the behavioral domain meta-data of the BrainMap庐 database to characterize the behavioral domain specificity of two maps. Both MACM and TMS/PET detected multi-synaptic connectivity patterns, with the MACM-detected connections being more extensive. Both MACM and TMS/PET detected connections belonging to multiple behavioral domains, including action, cognition and perception. Finally, we show that the two connectivity-mapping methods are complementary in that, the MACM informed on the functional nature of SMA connections, while TMS/PET identified brain areas electrophysiologically connected with the SMA. Thus, we demonstrate that integrating multimodal database and imaging techniques can derive comprehensive connectivity maps of brain areas.