Executive Summary : | The study aims to examine common information-processing disruption patterns in structural connectomes of schizophrenia (sZ), bipolar disorder (BD), and attention-deficit-hyperactivity disorder (ADHD) patients for the first time, providing novel transdiagnostic insights into pathologies at the levels of genes, brain, and behaviors and disorder vulnerability of controls. The research will use open-source DTI, behavioral, symptoms, psychological tests, and severity data from patients, controls, and human brain's regional gene expression data. Partial Least square (PLs) analyses of structural connectomics-based information-processing characteristics of all brain regions will furnish components of common information-processing disruption associated with cognitive dysfunctions, symptoms, and psychopathology. PLs loadings will be correlated to region-wide gene expressions, and connectome characteristics between a patient group and matched controls will be statistically compared to examine disorder-specific disruptions. The study is significant as sZ, BD1, and ADHD are among the top 10 psychiatric disorders in India, with India expected to incur a loss of $1.03 trillion due to psychiatric disorders by 2030. The proposal will provide novel insights into the common pathologies of sZ, BD1, and ADHD across genetic, neural, and behavioral domains and the opportunity to early detect disorder vulnerability of healthy participants. |