The objective of this multi-site research collaboration is to test the manifestation and distribution of biological markers for psychosis and affect dimensions across the schizophrenia/bipolar (SZ-BD) diagnostic boundary, and to examine heritability and genetic associations for these biological markers.
The B-SNIP research consortium previously obtained dense phenotypes across the psychosis spectrum in an effort to observe features both (i) distinctive to and (ii) shared between DSM-type categorical diagnoses. Despite the broad range of extra-clinical phenotypes, we had limited success finding clinical SZ-BD diagnosis-specific features; instead, most phenotypes were distributed continuously across DSM diagnoses. To describe more biologically homogeneous groups, therefore, we combined all psychosis probands and implemented a multi-stage analysis procedure, beginning with identification of psychosis biomarkers (variables with the largest effect sizes for differentiating psychosis and healthy groups) including cognitive, electrophysiological, and oculo-motor measures ('classical' endophenotypes). We then estimated the number of subgroups that efficiently optimized variance among the biomarkers (n=3) and differentiated the individual psychosis cases into these subgroups. Subsequently, the subgroups were tested for biological uniqueness using meaningful external validators (structural and functional brain imaging, social functioning, and familial data). Given the neurobiological distinctiveness of these subgroups, we called them psychosis Biotypes. DSM diagnoses were distributed across all Biotypes. Compared to DSM diagnoses, Biotype membership enhanced group separations on biomarkers. These results indicate that groups of psychosis cases can be generated with homogeneous phenotypic characteristics independent of DSM diagnoses. The proposed study aims to further develop Biotype definitions and demonstrate that psychosis Biotypes constructed from a dense biomarker panel (i) are replicable, (ii) neurobiologically distinctive, and (iii) have unique genetic characteristics.
Study Type
OBSERVATIONAL
Enrollment
113
UT Southwestern Medical Center
Dallas, Texas, United States
Differences in those with Bipolar disorder with psychosis, without psychosis, and healthy controls on functional and structural brain imaging, neurocognitive assessments, and neurophysiological tests
Time frame: One day
Differences in those with Bipolar disorder with psychosis, without psychosis, and healthy controls on clinical assessment questionnaires
The investigators will assess clustering of probands and relatives across composite biomarkers independent of diagnostic status using multivariate taxometric procedures.
Time frame: One day
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