Increased structural covariance of cortical measures in individuals with an at-risk mental state
Year: 2024
Type: article
Study design: Observational Study
Abstract: An anomalous pattern of structural covariance has been reported in schizophrenia, which has been suggested to represent connectome changes during brain maturation and neuroprogressive processes. It remains unclear whether similar differences exist in a clinical high-risk state for psychosis, and if they are associated with a prodromal phenotype and/or later psychosis onset. This multicenter magnetic resonance imaging study cross-sectionally examined structural covariance in a large at-risk mental state (ARMS) sample with different outcomes. The whole-brain structural covariance of four cortical measures (thickness, area, volume, and gyrification) was assessed in 155 individuals with ARMS, who were subclassified into 26 (16.8 %) with a later psychosis onset (ARMS-P), 44 with persistent subthreshold psychotic symptoms, and 53 with the remission of psychotic symptoms (ARMS-R) during the clinical follow-up, and 191 healthy controls. The relationships of changes in structural covariance with clinical symptoms and cognitive impairments were also investigated in the ARMS subsample. Structural covariance was significantly higher in widespread cortical regions in the ARMS group than in the controls, with each cortical measure having a different pattern in affected cortical regions. The higher structural covariance of the cortical area was partly related to severe suspiciousness-persecutory ideation. Structural covariance was significantly higher, mainly in fronto-parietal gyrification, in the ARMS-P group than in the ARMS-R group. The present results suggest that changes in structural covariance result in psychosis vulnerability and the excessive structural covariance of brain gyrification in ARMS subjects may contribute to their later clinical course.
Authors: Daiki Sasabayashi, Sakiko Tsugawa, Shinichiro Nakajima, Tsutomu Takahashi, Yoichiro Takayanagi, Shinsuke Koike, Naoyuki Katagiri, Masahiro Katsura, Atsushi Furuichi, Yuko Mizukami, Shimako Nishiyama, Haruko Kobayashi, Yusuke Yuasa, Naohisa Tsujino, Atsushi Sakuma, Noriyuki Ohmuro, Yutaro Sato, Kazuho Tomimoto, Naohiro Okada, Mariko Tada, Motomu Suga, Norihide Maikusa, Eric Plitman, Cassandra M.J. Wannan, Andrew Zalesky, Mallar Chakravarty, Kyo Noguchi, Hidenori Yamasue, Kazunori Matsumoto, Takahiro Nemoto, Hiroaki Tomita, Masafumi Mizuno, Kiyoto Kasai, Michio Suzuki
Institutions: University of Toyama, Research Center for Idling Brain Science, University of Toyama, Keio University, Centre for Addiction and Mental Health, The University of Tokyo Institutes for Advanced Study, International Research Center for Neurointelligence, The University of Tokyo, The University of Tokyo, Toho University, Tohoku University Hospital, Osaki Citizen Hospital, Tohoku University, Teikyo Heisei University, University of Toronto, The University of Melbourne, Orygen, Douglas Mental Health University Institute, McGill University, Hamamatsu University School of Medicine, International Research Institute of Disaster Science, Tohoku University, Tokyo Metropolitan Matsuzawa Hospital
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,870
Awards: Clinical trial of compassion focused therapy for at risk mental state, G1184917759, 早期精神病におけるマルチモダル脳指標は認知機能軌跡を予測するか：アジア多施設研究, Prediction of diagnostic and functional outcomes for at-risk mental state (ARMS) using event-related potentials (ERPs) and sleep EEG., G6977867251, Toward reconstructing psychiatric disorders based on brain structure and function: International joint research project, Translational research using neural oscillation in schizophrenia: Toward elucidating pathogenesis and developing novel therapeutic approaches
OpenAlex ID: W4404635596