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 KoikePublished 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.