Your browser doesn't support javascript.
loading
Group Surrogate Data Generating Models and similarity quantification of multivariate time-series: A resting-state fMRI study.
Okuno, Takuto; Hata, Junichi; Haga, Yawara; Muta, Kanako; Tsukada, Hiromichi; Nakae, Ken; Okano, Hideyuki; Woodward, Alexander.
Affiliation
  • Okuno T; Connectome Analysis Unit, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan. Electronic address: takuto.okuno@riken.jp.
  • Hata J; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashiogu, Arakawa-ku, Tokyo 116-8551, Japan.
  • Haga Y; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
  • Muta K; Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashiogu, Arakawa-ku, Tokyo 116-8551, Japan.
  • Tsukada H; Center for Mathematical Science and Artificial Intelligence, Chubu University, 1200 Matsumoto-cho, Kasugai, Aichi 487-8501, Japan.
  • Nakae K; Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Aichi, Japan.
  • Okano H; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
  • Woodward A; Connectome Analysis Unit, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
Neuroimage ; 279: 120329, 2023 10 01.
Article in En | MEDLINE | ID: mdl-37591477
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Brain / Magnetic Resonance Imaging Type of study: Prognostic_studies Limits: Animals / Humans Language: En Year: 2023 Type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Brain / Magnetic Resonance Imaging Type of study: Prognostic_studies Limits: Animals / Humans Language: En Year: 2023 Type: Article