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Frequency-Dependent Cortical Interactions during Semantic Processing: An Electrocorticogram Cross-spectrum Analysis Using a Semantic Space Model.
Sato, Naoyuki; Matsumoto, Riki; Shimotake, Akihiro; Matsuhashi, Masao; Otani, Mayumi; Kikuchi, Takayuki; Kunieda, Takeharu; Mizuhara, Hiroaki; Miyamoto, Susumu; Takahashi, Ryosuke; Ikeda, Akio.
Afiliación
  • Sato N; Department of Complex and Intelligent Systems, School of Systems Information Science, Future University Hakodate, Hakodate, Hokkaido 041-8655, Japan.
  • Matsumoto R; Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan.
  • Shimotake A; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto University Hospital, Sakyo, Kyoto 606-8507, Japan.
  • Matsuhashi M; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto University Hospital, Sakyo, Kyoto 606-8507, Japan.
  • Otani M; Department of Epilepsy, Movement Disorders and Physiology, Kyoto University Graduate School of Medicine, Sakyo, Kyoto 606-8507, Japan.
  • Kikuchi T; Department of Epilepsy, Movement Disorders and Physiology, Kyoto University Graduate School of Medicine, Sakyo, Kyoto 606-8507, Japan.
  • Kunieda T; Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan.
  • Mizuhara H; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto University Hospital, Sakyo, Kyoto 606-8507, Japan.
  • Miyamoto S; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto University Hospital, Sakyo, Kyoto 606-8507, Japan.
  • Takahashi R; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto University Hospital, Sakyo, Kyoto 606-8507, Japan.
  • Ikeda A; Department of Neurosurgery, Ehime University Graduate School of Medicine, Shizukawa Toon City, Ehime 791-0295, Japan.
Cereb Cortex ; 31(9): 4329-4339, 2021 07 29.
Article en En | MEDLINE | ID: mdl-33942078
Convergent evidence has demonstrated that semantics are represented by the interaction between a multimodal semantic hub at the anterior temporal lobe (ATL) and other modality-specific association cortical areas. Electrocorticogram (ECoG) recording with high spatiotemporal resolutions is efficient in evaluating such cortical interactions; however, this has not been a focus of preceding studies. The present study evaluated cortical interactions during picture naming using a novel ECoG cross-spectrum analysis, which was formulated from a computational simulation of neuronal networks and combined with a vector space model of semantics. The results clarified three types of frequency-dependent cortical networks: 1) an earlier-period (0.2-0.8 s from stimulus onset) high-gamma-band (90-150 Hz) network with a hub at the posterior fusiform gyrus, 2) a later-period (0.4-1.0 s) beta-band (15-40 Hz) network with multiple hubs at the ventral ATL and posterior middle temporal gyrus, and 3) a pre-articulation theta-band (4-7 Hz) network distributed over widely located cortical regions. These results suggest that frequency-dependent cortical interactions can characterize the underlying processes of semantic cognition, and the beta-band network with a hub at the ventral ATL is especially associated with the formation of semantic representation.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Semántica / Corteza Cerebral / Ondas Encefálicas / Electrocorticografía / Red Nerviosa Límite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Cereb Cortex Asunto de la revista: CEREBRO Año: 2021 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Semántica / Corteza Cerebral / Ondas Encefálicas / Electrocorticografía / Red Nerviosa Límite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Cereb Cortex Asunto de la revista: CEREBRO Año: 2021 Tipo del documento: Article País de afiliación: Japón