Neurobiological predictors of outcomes in non-transitioned “high risk” for psychosis individuals
Poster B56, Friday, October 21, 11:30 am - 1:00 pm, Le Baron
Chika Obara1, Atsushi Sakuma1, Masahiro Katsura1, Noriyuki Ohmuro1, Kunio Iizuka1, Tatsuo Kikuchi2, Koichi Abe2, Kyoko Kokubun2, Hiroo Matsuoka1,2,3, Kazunori Matsumoto1,2,3; 1Department of Psychiatry, Tohoku University Hospital, 2Department of Psychiatry, Tohoku University Graduate School of Medicine, 3Department of Preventive Psychiatry, Tohoku University Graduate School of
Purpose: Although two thirds of individuals with at-risk mental states (ARMS) do not develop psychosis over time, many of them present with several symptoms, including attenuated psychotic symptoms (APS) and poor social functioning. Therefore, we conducted a 1-year longitudinal follow-up survey with ARMS individuals who did not develop psychosis (non-transited ARMS) to investigate how persistent APS and impaired social functioning are related to grey matter volume (GMV) at baseline. Materials and Methods: Baseline magnetic resonance imaging data of 32 non-transited ARMS participants who were followed-up for 1-year were analysed using voxel-based morphometry. We compared non-transited ARMS participants who had APS at follow-up (N = 9) to who those did not (N = 23), and those with good functioning (N = 17) to those with poor functioning (N = 15) at follow up.. Results: Non-transited ARMS participants with poor social functioning at follow-up showed baseline GMV reductions in the right pre- and post-central gyrus compared to those with good functioning. No differences in baseline GMV were found between non-transited ARMS participants with and without APS. Conclusions: Non-transited ARMS individuals with persistent impairment of social functioning had reduced GMV at baseline. The results suggest that ARMS individuals with persistent impairment of social functioning who do not develop psychosis have structural brain abnormalities. We need to look at social functioning and other symptoms dimensions as well as the psychosis dimension to find structural brain changes which link to the clinical outcomes of the ARMS population.
Topic Area: Neuroimaging