論文 - 詳細
| RRC ID | 88424 |
|---|---|
| 著者 | Li C, Hasegawa I, Tanigawa H. |
| タイトル | Protocol for assisting frequency band definition and decoding neural dynamics using hierarchical clustering and multivariate pattern analysis. |
| ジャーナル | STAR Protoc |
| 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. |
| 巻・号 | 6(2) |
| ページ | 103870 |
| 公開日 | 2025-6-20 |
| DOI | 10.1016/j.xpro.2025.103870 |
| PII | S2666-1667(25)00276-X |
| PMID | 40465456 |
| PMC | PMC12171811 |
| MeSH | Animals Brain / physiology Cluster Analysis Electrocorticography* / methods Macaca Multivariate Analysis Signal Processing, Computer-Assisted* |
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