Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT03856177 |
Other study ID # |
1R01MH119382-01 |
Secondary ID |
1R01MH119382-01 |
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
April 1, 2019 |
Est. completion date |
July 1, 2021 |
Study information
Verified date |
March 2024 |
Source |
University of New Mexico |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The proposed research addresses a major mental health issue (anhedonia) with a novel
computationally-inspired translational technique in both humans and mice. This approach
greatly increases the likelihood that a positive animal model result will be successfully
translated to humans. This research plan thus offers a novel way to address the NIMH's
mission of defining mechanisms of complex behaviors.
Description:
Although considered a trans-diagnostic phenotype, anhedonia can emerge from deficits in
motivation, valuation, or hedonic appreciation, each of which reflect different neural
processes and are differently expressed across individuals. There is a critical need to
refine the construct of anhedonia in order to improve treatment. The long-term goal of this
project is to combine computational, imaging, and causal manipulations to define a
translational biomarker of diminished valuation in anhedonia. This proposal aims to identify
how the EEG response known as the Reward Positivity (RewP) is a candidate biomarker specific
to value-based deficiencies in anhedonia. The RewP is only elicited by the presentation of a
rewarding outcome, it is decreased in depression, and it scales with the central feature of
reinforcement learning models, the positive reward prediction error (+RPE). Importantly, this
same neural response can be elicited in rodents using the same learning task as in humans.
The objective of this proposal is to test whether induced emotion, depressed mood, and
learned helplessness (in mice) directly diminish +RPE coding in the RewP. The rationale for
this approach is that electrophysiology is a highly promising tool for identifying mechanisms
of complex behaviors and translating these mechanisms between species. Aim 1 will determine
if induced emotion and +RPE have independent or interactive effects on the RewP. Aim 2 will
recruit depressed participants and determine if anhedonia and +RPE have independent or
interactive influences on the source-level generators underlying the RewP (using MEG). Aim 3
will use the same task in a mouse model with infralimbic recordings; this will then test the
causal diminishment (learned helplessness) and recovery (fluoxetine) of this mechanism. This
proposed research is innovative because it identifies a computational function tightly tied
to a neural response that directly addresses the disease-specific phenotype in human patients
and is capable of being assessed, manipulated, and recovered within a rodent model. This
contribution is expected to be significant because it will advance a translational mechanism
for deficient valuation in anhedonia. Upon completion of these aims, the expected outcome
will validate the RewP as a sensitive and specific mechanism of aberrant valuation in
anhedonia. In line with the Research Domain Criteria framework, the use of computational
modeling will facilitate algorithmic contrasts between multiple sub-constructs of approach
motivation in the positive valence systems domain. The translational computational psychiatry
approach advanced here links circuit-level dysfunction, aberrant computations, and
trans-diagnostic behavioral phenotype. The successful completion of the aims advanced here
will create a highly promising path for combining these strengths into a
computationally-inspired, mechanistically tested, translatable model of aberrant valuation in
anhedonia. This novel candidate biomarker will be translatable between species and testable
in an outpatient clinic.