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Abstract
This project studied the relationships between cognitive performance and measures of brain structure and function in 2,793 persons with psychosis, their first-degree biological relatives, and healthy individuals recruited by the Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP). Cognitive performance was estimated using the BAC and WRAT, and indices of neural structure and neurophysiology included structural MRI, neurobehavioral, and EEG measures. This association of cognitive performance (criterion) and neural measures (predictors) was examined using a mixed-effects regression model (iDEAS). The model yielded a common slope of the predictors on cognitive performance (slope=0.187, p<.001), indicating better overall brain structure-function was associated with better cognitive performance, as well as predictor-specific deviations from that common slope (called the BAsic NeuroCognitive Continuum, or BANCC). Differential identification of deviating variables, which were interesting by virtue of their possible importance for indicating neurobiology peculiar to psychosis, is possible through the BANCC and comparatively difficult through other methods.