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Moran’s I quantifies spatio-temporal pattern formation in neural imaging data
https://oist.repo.nii.ac.jp/records/240
https://oist.repo.nii.ac.jp/records/24019a71444-1cb1-4e04-b227-a0b6c6eb7e0f
名前 / ファイル | ライセンス | アクション |
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btx351-1 (560.4 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2018-01-19 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Moran’s I quantifies spatio-temporal pattern formation in neural imaging data | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者(英) |
Schmal, Christoph
× Schmal, Christoph× Myung, Jihwan× Herzel, Hanspeter× Bordyugov, Grigory |
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書誌情報 |
en : Bioinformatics 巻 33, 号 19, p. 3072-3079, 発行日 2017-05-31 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Motivation: Neural activities of the brain occur through the formation of spatio-temporal patterns. In recent years, macroscopic neural imaging techniques have produced a large body of data on these patterned activities, yet a numerical measure of spatio-temporal coherence has often been reduced to the global order parameter, which does not uncover the degree of spatial correlation. Here, we propose to use the spatial autocorrelation measure Moran’s I, which can be applied to capture dynamic signatures of spatial organization. We demonstrate the application of this technique to collective cellular circadian clock activities measured in the small network of the suprachiasmatic nucleus (SCN) in the hypothalamus. Results: We found that Moran’s I is a practical quantitative measure of the degree of spatial coherence in neural imaging data. Initially developed with a geographical context in mind, Moran’s I accounts for the spatial organization of any interacting units. Moran’s I can be modified in accordance with the characteristic length scale of a neural activity pattern. It allows a quantification of statistical significance levels for the observed patterns. We describe the technique applied to synthetic datasets and various experimental imaging time-series from cultured SCN explants. It is demonstrated that major characteristics of the collective state can be described by Moran’s I and the traditional Kuramoto order parameter R in a complementary fashion. |
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出版者 | ||||||
出版者 | Oxford University Press | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1367-4803 | |||||
PubMed番号 | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | PMID | |||||
関連識別子 | info:pmid/28575207 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1093/bioinformatics/btx351 | |||||
権利 | ||||||
権利情報 | © The Author 2017. | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://academic.oup.com/bioinformatics/article/33/19/3072/3859179#96920334 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |