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In-vivo data-driven parcellation of Heschl’s gyrus using structural connectivity

The human auditory cortex around Heschl’s gyrus (HG) exhibits diverging patterns across individuals owing to the heterogeneity of its substructures. In this study, we investigated the subregions of the human auditory cortex using data-driven machine-learning techniques at the individual level and as...

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Detalles Bibliográficos
Autores principales: Lee, Hyebin, Byeon, Kyoungseob, Park, Bo-yong, Lee, Sean H., Park, Hyunjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253310/
https://www.ncbi.nlm.nih.gov/pubmed/35788143
http://dx.doi.org/10.1038/s41598-022-15083-z