Chandra Sripada
University of Michigan, MI·Neuroscience
Mental illnesses often share underlying brain and thinking problems. Two projects ask how brain networks give rise to those problems.
- Fields
Neuroscience
Psychology
Medicine & Clinical Research
- Topics
bipolar disorder
computational psychiatry
network neuroscience
- Grants
- 2 known grants, through Mar 2027
What they work on
- Test whether reduced efficiency of evidence accumulation in bipolar disorder comes from weaker flexible rewiring of brain networks, comparing 130 patients and 130 healthy adults with behavioral tasks and task-based neuroimaging.
- Use brain basis set (BBS), a predictive modeling method that condenses connectivity changes into a few components, to find which networks rewire and by how much. Link these deficits to an impulsive, emotionally unstable bipolar subtype.
- Trace how reduced task-evoked network flexibility arises from the brain's resting functional and structural wiring, using multivariate analysis of multi-modal imaging in the Prechter Longitudinal Study of Bipolar Disorder.
- Use latent growth modeling in the ABCD study to track how executive function, negative emotions, aggressive impulses and brain imaging components develop alongside the general psychopathology P factor across adolescence.
- Identify brain components that link polygenic risk to the P factor in late adolescence. Combine genetic, brain, psychological and social and environmental factors into one model, then compare it with models for internalizing and externalizing.
More about the research
One studies a specific thinking skill in adults with bipolar disorder. The other studies how general risk for psychiatric symptoms emerges in adolescents. Both rely on large datasets and multivariate neuroimaging methods, which analyze many brain measures at once to find patterns.
Why it matters
Better maps of the brain mechanisms behind cognitive problems in bipolar disorder could support improved diagnosis and treatment for people with the condition. Understanding how general risk for psychiatric illness develops in adolescence could help identify high-risk youth. It could also guide efforts to design interventions that reduce or prevent the emergence of mental illness.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Establishing Network Neuroscience Mechanisms of Efficiency of Evidence Accumulation in a Well-Characterized Sample with Bipolar Disorder: A Multi-Modal Clinical Imaging Study
NIH · Jun 2022 – Mar 2027
Building a multi-factor etiological model of the emergence of general psychopathology (the "P factor") in adolescence with multi-modal neuroimaging in ABCD
NIH · Jun 2021 – Mar 2027
Closest labs
Alexander Weigard
University of Michigan, MI·Psychology·Early-career
Map the typical maturational trajectory of efficiency of evidence accumulation (EEA), a model-derived measure of how well the brain gathers information for decisions, and its relations to other abilities, across four large longitudinal neuroimaging datasets.
Carolina Makowski
University of California-San Diego, CA·Neuroscience·Early-career
Identify behavioral and neuroimaging correlates of eating disorders in youth from the ABCD Study (ages 11–14) and in a clinical sample of adolescent girls in treatment (ages 13–18), using measures of brain shape and whole-brain microstructure.
Melissa Delbello
University of Cincinnati, OH·Neuroscience
Track four-year trajectories of ventral prefrontal network connectivity, brain circuits for mood and risk-reward processing, in youth with versus without a family history of bipolar I disorder.
The school
University of Michigan: 124 labs on PI Pages, $2.1B a year on research, 963 research doctorates a year.
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