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ABSTRACT: Background
Bipolar disorder shows significant variability in clinical presentation. Here we adopt a personalized approach to quantify the brain structural and functional similarity of each individual patient to other patients and to healthy individuals.Methods
Brain morphometric and resting-state functional connectivity measures from two independent samples of patients with bipolar disorder and healthy individuals (total number of participants=215) were modeled as single vectors to generated individualized morphometric and connectivity profiles. These profiles were then used to compute a person-based similarity indices which quantified the similarity in neuroimaging profiles amongst patients and between patients and health individuals.Results
The morphometric and co
SUBMITTER: Doucet GE
PROVIDER: S-EPMC7568424 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature