Protocol for assisting frequency band definition and decoding neural dynamics using hierarchical clustering and multivariate pattern analysis.
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| Titel: | Protocol for assisting frequency band definition and decoding neural dynamics using hierarchical clustering and multivariate pattern analysis. |
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| Autoren: | Li C; Interdisciplinary Institute of Neuroscience and Technology, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China; College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China; MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China; National Key Laboratory of Brain and Computer Intelligence, Zhejiang University, Hangzhou, China., Hasegawa I; Department of Physiology, Niigata University School of Medical and Dental Sciences, Niigata, Japan., Tanigawa H; Interdisciplinary Institute of Neuroscience and Technology, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China; College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China; MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China; National Key Laboratory of Brain and Computer Intelligence, Zhejiang University, Hangzhou, China. Electronic address: hisashi.q@gmail.com. |
| Quelle: | STAR protocols [STAR Protoc] 2025 Jun 20; Vol. 6 (2), pp. 103870. Date of Electronic Publication: 2025 Jun 03. |
| Publikationsart: | Journal Article |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: Cell Press Country of Publication: United States NLM ID: 101769501 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-1667 (Electronic) Linking ISSN: 26661667 NLM ISO Abbreviation: STAR Protoc Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: [Cambridge, MA] : Cell Press, [2020]- |
| MeSH-Schlagworte: | Electrocorticography*/methods , Signal Processing, Computer-Assisted*, Animals ; Multivariate Analysis ; Cluster Analysis ; Macaca ; Brain/physiology |
| Abstract: | Traditional fixed frequency band divisions often limit neural data analysis accuracy. Here, we present a protocol for assisting frequency band definition for multichannel neural data using macaque electrocorticography (ECoG) data. We describe steps for performing time-frequency analysis on preprocessed signals and applying hierarchical clustering to frequency power profiles to identify data-informed groupings. We then detail procedures for defining frequency bands guided by these clusters and using multivariate pattern analysis (MVPA) on the derived bands for functional validation via time-series decoding. For complete details on the use and execution of this protocol, please refer to Tanigawa et al. 1 . (Copyright © 2025 The Author(s). Published by Elsevier Inc. All rights reserved.) |
| Competing Interests: | Declaration of interests The authors declare no competing interests. |
| Contributed Indexing: | Keywords: Biotechnology and bioengineering; Cognitive Neuroscience; Neuroscience |
| Entry Date(s): | Date Created: 20250604 Date Completed: 20250625 Latest Revision: 20250625 |
| Update Code: | 20250625 |
| PubMed Central ID: | PMC12171811 |
| DOI: | 10.1016/j.xpro.2025.103870 |
| PMID: | 40465456 |
| Datenbank: | MEDLINE |
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