The hand motor hotspot for seed-based functional connectivity of hand motor networks at rest

In the seed-based method for studying functional connectivity (FC), seed selection is relevant. Here, we propose a new methodological approach for resting-state FC analysis of hand motor networks using the individual hand motor hotspot (hMHS) as seed. Nineteen right-handed healthy volunteers underwe...

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Published inFrontiers in neuroscience Vol. 16; p. 896746
Main Authors Bonzano, Laura, Bortoletto, Marta, Zazio, Agnese, Iester, Costanza, Stango, Antonietta, Gasparotti, Roberto, Miniussi, Carlo, Bove, Marco
Format Journal Article
LanguageEnglish
Published Lausanne Frontiers Research Foundation 12.08.2022
Frontiers Media S.A
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ISSN1662-453X
1662-4548
1662-453X
DOI10.3389/fnins.2022.896746

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Summary:In the seed-based method for studying functional connectivity (FC), seed selection is relevant. Here, we propose a new methodological approach for resting-state FC analysis of hand motor networks using the individual hand motor hotspot (hMHS) as seed. Nineteen right-handed healthy volunteers underwent a transcranial magnetic stimulation (TMS) session and resting-state fMRI. For each subject, the hMHS in both hemispheres was identified by TMS with the contralateral abductor pollicis brevis muscle as the target, the site eliciting the highest and most reliable motor-evoked potentials. Seed regions were built on coordinates on the cortex corresponding to the individual left and right hMHSs. For comparison, the left and right Brodmann’s area 4 (BA4) masks extracted from a standard atlas were used as seed. The left and right hMHSs showed FC patterns at rest mainly including sensorimotor regions, with a bilateral connectivity only for the left hMHS. The statistical contrast BA4 > hMHS for both hemispheres showed different extension and lateralization of the functionally connected cortical regions. On the contrary, no voxels survived the opposite contrast (hMHS > BA4). This suggests that detection of individual hand motor seeds by TMS allows to identify functionally connected motor networks that are more specific with respect to those obtained starting from the a priori atlas-based identification of the primary motor cortex.
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Reviewed by: Douglas Owen Cheyne, University of Toronto, Canada; Adil Bashir, Auburn University, United States
This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience
Edited by: Yen-Feng Lin, National Health Research Institutes, Taiwan
ISSN:1662-453X
1662-4548
1662-453X
DOI:10.3389/fnins.2022.896746