Sripada Lab
Principal Investigator: Chandra Sekhar Sripada
Institution: University of Michigan (Ann Arbor, MI)
Primary Subfield: Neuroscience
Recruitment Status: Inquire for rotation/fellowship opportunities
Research Focus
Abstract Bipolar disorder is a serious chronic condition, and there is great interest in understanding brain-based mechanisms that contribute to disorder symptoms. In this proposal, we focus on one promising candidate: efficiency of evidence accumulation (EEA). EEA is measured in specialized models from computational psychiatry, and it quantifies a basic neurocognitive ability to accumulate information from a stimulus in noisy conditions in order to select appropriate responses. Substantial reductions in EEA are found in bipolar disorder, as well as other major psychiatric disorders, and they contribute to impulsivity and disease severity. There is a critical gap in knowledge, however: At the current time, we know little about the brain mechanism that produce reduced EEA in bipolar disorder, or in any other psychiatric disorder. In this project, we address this gap using the methods of network neuroscience. Substantial evidence from large datasets strongly supports a flexible network reconfiguration model of EEA. This model says EEA depends on the brain’s ability to adaptively reconfigure connectivity patterns of brain networks across cognitive demands and task contexts. The model…
Active NIH Awards
- 5R01MH130348-05: Establishing Network Neuroscience Mechanisms of Efficiency of Evidence Accumulation in a Well-Characterized Sample with Bipolar Disorder: A Multi-Modal Clinical Imaging Study (2026)
- 5R01MH123458-05: Building a multi-factor etiological model of the emergence of general psychopathology (the "P factor") in adolescence with multi-modal neuroimaging in ABCD (2025)
- 5R01MH130348-04: Establishing Network Neuroscience Mechanisms of Efficiency of Evidence Accumulation in a Well-Characterized Sample with Bipolar Disorder: A Multi-Modal Clinical Imaging Study (2025)
- 5R01MH123458-04: Building a multi-factor etiological model of the emergence of general psychopathology (the "P factor") in adolescence with multi-modal neuroimaging in ABCD (2024)
- 5R01MH130348-03: Establishing Network Neuroscience Mechanisms of Efficiency of Evidence Accumulation in a Well-Characterized Sample with Bipolar Disorder: A Multi-Modal Clinical Imaging Study (2024)
Explore 700+ US Biology Labs on FindBioLabs.com