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Abstract
Cognitive dysfunction is a core feature of many brain disorders, including schizophrenia (SZ), and has been linked to aberrant brain activations. However, it is unclear how these activation abnormalities emerge. We propose that aberrant flow of brain activity across functional connectivity (FC) pathways leads to altered activations that produce cognitive dysfunction in SZ. We tested this hypothesis using activity flow mapping, an approach that models the movement of task-related activity between brain regions as a function of FC. Using functional magnetic resonance imaging data from SZ individuals and healthy controls during a working memory task, we found that activity flow models accurately predict aberrant cognitive activations across multiple brain networks. Within the same framework, we simulated a connectivity-based clinical intervention, predicting specific treatments that normalized brain activations and behavior in patients. Our results suggest that dysfuncti ....

United States , Los Angeles , Los Angeles County , New Jersey , Yale University , University Of California , Consortium For Neuropsychiatric Phenomics , Slovenian Research Agency , Australian Government National Health , Blackthorn Therapeutics Inc , Research Council Emerging Leader , Los Angeles County Department Of Mental Health , University Of New Jersey , Ahmanson Lovelace Brain Mapping Center Siemens , Staglin Center , Office Of Advanced Research Computing , Technology Advisory Board , Neuropsychiatric Phenomics , Human Connectome Project , Statistical Manual , Mental Disorders , Fourth Edition Text Revision , Structured Clinical Interview , Institutional Review Boards , Los Angeles County Department , Siemens Trio ,