Impulsive and risky decision-making are observed in many psychiatric disorders (e.g., ADHD, bipolar, eating and substance use disorders). Variation in the underlying psychological constructs of choice impulsivity (CI) and risky choice (RC), can be evaluated in both pre-clinical and clinical populations using specific tasks?the delay discounting task for CI and the risky decision-making task for RC. In patients, CI and RC task performance associated with impulsive and risky decision-making, relates prospectively to problematic behaviors?gambling, binge eating, substance use, violence and suicide?and also predicts non-response to treatment and risk of relapse. Thus, treatments that can normalize decision-making, reflected in improved CI or RC task performance, could have a meaningful clinical impact across an array of neuropsychiatric conditions. Previous studies have correlated CI and RC task performance (in both rodents and humans) with specific patterns of cortical-striatal activity, but few approved treatments for neuropsychiatric illness have been developed for the purpose of targeting and therapeutically manipulating these systems-level neural activity patterns. Therefore, this proposal will: (1) identify patterns of cortical-striatal activity correlated with CI and RC task performance; (2) determine how targeting diverse cortical-striatal regions with deep brain stimulation (DBS) alters cortical-striatal activity; and (3) use DBS to modulate activity patterns and correlate these with CI and RC task performance changes. This proposal will identify neural systems-level treatment targets that will aid in the development of circuit-based interventions (e.g., DBS and transcranial magnetic stimulation-TMS) for maladaptive decision-making across an array of psychiatric conditions. My primary goal under this proposal is to establish an independent research program that will address the following questions: What are the neural systems-level activity patterns that are relevant to domains of mental illness?; and How can a neural systems-level understanding of trans-diagnostic domains be leveraged to enable circuit-based interventions to reach their therapeutic potential? I believe that transitioning my pre- clinical research from models of disordered appetitive behavior to common domains of function that are pathologic across many psychiatric conditions will enhance the translational relevance of my research program. To make this transition and be at the forefront of computational psychiatry, I must acquire additional training in advanced behavioral protocols and cutting-edge computational tools for analysis of high dimensional neural data. The training outlined in this K08 complements my existing knowledge base (electrophysiology and circuit-based interventions) and aligns well with the proposed Specific Aims to provide a context to gain experience in these key areas of training through course work and one-on-one mentorship (both internal and external).

Public Health Relevance

Impulsive and risky decisions are more frequently made by people with mental illness (e.g., ADHD, bipolar, and substance use disorders), and result in dangerous, unhealthy behavior (like suicide, gambling, and drug use) that negatively impact quality of life and the course of mental illness. Unfortunately, therapeutic options to target and treat impulsive and risky decisions are lacking. This study will use a rodent model to identify neural activity patterns that, when manipulated by brain stimulation, will reduce impulsive and risky decisions.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Clinical Investigator Award (CIA) (K08)
Project #
5K08MH117347-03
Application #
10131030
Study Section
Pathophysiological Basis of Mental Disorders and Addictions Study Section (PMDA)
Program Officer
Van'T Veer, Ashlee V
Project Start
2019-03-01
Project End
2023-02-28
Budget Start
2021-03-01
Budget End
2022-02-28
Support Year
3
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Dartmouth-Hitchcock Clinic
Department
Type
DUNS #
150883460
City
Lebanon
State
NH
Country
United States
Zip Code
03756