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Set Shifting and Inhibition Deficits as Potential Endophenotypes for Depression
Huiting Liu1, Carter J Funkhouser2, Scott A Langenecker3
1Evidence Based Treatment Centers of Seattle, 1200 5th Ave #800, Seattle, WA 98101, USA.
Psychiatry Research
|April 24, 2021
Summary
Impaired set-shifting, a cognitive function, shows promise as an endophenotype for Major Depressive Disorder (MDD). This cognitive deficit is familial and present in both current and remitted MDD patients.
Area of Science:
- Neuroscience
- Psychiatry
- Cognitive Psychology
Background:
- The causes of Major Depressive Disorder (MDD) remain unclear, necessitating the identification of intermediate phenotypes (endophenotypes) to aid treatment and prevention.
- Cognitive impairments, specifically in set-shifting and inhibition, are frequently observed in MDD but require further investigation as potential endophenotypes.
Purpose of the Study:
- To determine if set-shifting and inhibition meet endophenotype criteria for MDD.
- To assess if these cognitive functions are impaired in individuals with current MDD and remitted MDD.
- To examine the familiality of set-shifting and inhibition deficits within sibling pairs.
Main Methods:
- Utilized Delis-Kaplan Executive Function System subtests to measure set-shifting and inhibition.
- Employed the Structured Clinical Interview for DSM-5 to assess psychopathology.
- Analyzed data for impairments in current MDD, remitted MDD, and familial correlations.
Main Results:
- Set-shifting deficits were found to be familial and present in both current and remitted MDD groups, suggesting state-independent characteristics.
- Inhibition deficits were familial but showed limited impairment in current or remitted MDD groups.
- Remitted MDD individuals without current disorders demonstrated impairments in one of two inhibition tasks.
Conclusions:
- Impaired set-shifting emerges as a strong candidate for an MDD endophenotype.
- Inhibition may not serve as a robust endophenotype for MDD.
- Further research is needed to confirm generalizability across populations and explore longitudinal associations.
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