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Distributed cortico-subcortical networks enable robust speech state detection from sparse intracranial recordings.

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Title: Distributed cortico-subcortical networks enable robust speech state detection from sparse intracranial recordings.
Authors: Feng C; College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.; Department of Neurosurgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China., Zhang E; State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China., Jia Y; School of Engineering, Westlake University, Hangzhou, China., Zhu Z; Department of Neurosurgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China., Zhu J; Department of Neurosurgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China., Wu D; School of Intelligence Science and Engineering, College of Artificial Intelligence, Harbin Institute of Technology, Shenzhen, China., Xu K; College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Source: Frontiers in neuroscience [Front Neurosci] 2026 May 08; Vol. 20, pp. 1816455. Date of Electronic Publication: 2026 May 08 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101478481 Publication Model: eCollection Cited Medium: Print ISSN: 1662-4548 (Print) Linking ISSN: 1662453X NLM ISO Abbreviation: Front Neurosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Distributed cortico-subcortical networks enable robust speech state detection from sparse intracranial recordings.
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  Data: <searchLink fieldCode="AU" term="%22Feng+C%22">Feng C</searchLink>; College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.; Department of Neurosurgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhang+E%22">Zhang E</searchLink>; State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Jia+Y%22">Jia Y</searchLink>; School of Engineering, Westlake University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhu+Z%22">Zhu Z</searchLink>; Department of Neurosurgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhu+J%22">Zhu J</searchLink>; Department of Neurosurgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Wu+D%22">Wu D</searchLink>; School of Intelligence Science and Engineering, College of Artificial Intelligence, Harbin Institute of Technology, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Xu+K%22">Xu K</searchLink>; College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
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  Data: <searchLink fieldCode="JN" term="%22101478481%22">Frontiers in neuroscience</searchLink> [Front Neurosci] 2026 May 08; Vol. 20, pp. 1816455. <i>Date of Electronic Publication: </i>2026 May 08 (<i>Print Publication: </i>2026).
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        Value: 10.3389/fnins.2026.1816455
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              Text: 2026 May 08
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