TY - JOUR
T1 - Electrophysiological and functional connectivity of the human supplementary motor area
AU - Narayana, Shalini
AU - Laird, Angela R.
AU - Tandon, Nitin
AU - Franklin, Crystal
AU - Lancaster, Jack L.
AU - Fox, Peter T.
N1 - Funding Information:
We thank Betty Heyl and Sergo Leal for assistance with PET data acquisition; Drs. Yulin Pu and Jia-Hong Gao for assistance with MRI data acquisition; and Tanya Taylor for assistance in BrainMap meta-analysis. This work was funded by grants from the National Institute of Mental Health (RO1-MH60246 and R01-MH074457-01A1 awarded to P.T. Fox), and the National Institute of Deafness and Communication Disorders (R21-DC009467-01A1 to S. Narayana).
PY - 2012/8/1
Y1 - 2012/8/1
N2 - 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 ® 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.
AB - 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 ® 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.
KW - Behavioral domain
KW - BrainMap
KW - Electrophysiological mapping
KW - Functional connectivity
KW - Meta-analytic connectivity mapping
KW - Positron emission tomography (PET)
KW - Supplementary motor area (SMA)
KW - Transcranial magnetic stimulation (TMS)
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U2 - 10.1016/j.neuroimage.2012.04.060
DO - 10.1016/j.neuroimage.2012.04.060
M3 - Article
C2 - 22569543
AN - SCOPUS:84861644993
SN - 1053-8119
VL - 62
SP - 250
EP - 265
JO - NeuroImage
JF - NeuroImage
IS - 1
ER -