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Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets.

Takuya IshidaYuko NakamuraSaori C TanakaYuki MitsuyamaSatoshi YokoyamaHotaka ShinzatoEri ItaiGo OkadaYuko KobayashiTakahiko KawashimaJun MiyataYujiro YoshiharaHidehiko TakahashiSusumu MoritaShintaro KawakamiOsamu AbeNaohiro OkadaAkira KunimatsuAyumu YamashitaOkito YamashitaHiroshi ImamizuJun MorimotoYasumasa OkamotoToshiya MuraiKiyoto KasaiMitsuo KawatoShinsuke Koike
Published in: Schizophrenia bulletin (2023)
DCM revealed that LIN was the core abnormal network common to psychiatric disorders. Furthermore, DCM showed disorder-specific abnormal patterns of causal connections across the 7 networks. Our findings suggested that aberrant dynamics among the large-scale networks could be a key biomarker for these transdiagnostic psychiatric disorders.
Keyphrases
  • resting state
  • functional connectivity
  • magnetic resonance imaging
  • computed tomography
  • single cell
  • rna seq
  • contrast enhanced