Task-Based Functional Connectomes Predict Cognitive Phenotypes Across Psychiatric Disease [article]

Daniel S. Barron, Siyuan Gao, Javid Dadashkarimi, Abigail S. Greene, Marisa N. Spann, Stephanie Noble, Evelyn Lake, John H. Krystal, R. Todd Constable, Dustin Scheinost
2019 bioRxiv   pre-print
Importance: We show that three common approaches to clinical deficits (cognitive phenotype, disease group, disease severity) each offer useful and perhaps complimentary explanations for the brains underlying functional architecture as affected by psychiatric disease. Objective: To understand how different clinical frameworks are represented in the brains functional connectome. Design: We use an openly available dataset to create predictive models based on multiple connectomes built from
more » ... built from task-based functional MRI data. We use these models to predict individual traits corresponding to multiple cognitive constructs across disease category. We also show that these same connectomes statistically differ depending on disease category and symptom burden. Setting: This was a population-based study with data collected in UCLA. Participants: Healthy adults were recruited by community advertisements from the Los Angeles area. Participants with adult ADHD, bipolar disorder, and schizophrenia were recruited using a patient-oriented strategy involving outreach to local clinics and online portals.
doi:10.1101/638825 fatcat:w3fqda6cijgxvpg6i2vosrdvcu