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Investigating the heterogeneity within the somatosensory-motor network and its relationship with the attention and default systems.
Han, Ziteng; Liu, Tiantian; Shi, Zhongyan; Zhang, Jian; Suo, Dingjie; Wang, Li; Chen, Duanduan; Wu, Jinglong; Yan, Tianyi.
Afiliación
  • Han Z; School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China.
  • Liu T; School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China.
  • Shi Z; School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China.
  • Zhang J; School of Mechatronical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China.
  • Suo D; School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China.
  • Wang L; School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China.
  • Chen D; School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China.
  • Wu J; School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China.
  • Yan T; School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China.
PNAS Nexus ; 2(9): pgad276, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37693210
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: PNAS Nexus Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: PNAS Nexus Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido