Related Experiment Video
Updated: Nov 25, 2025

An Olfactory Preference Test for Measuring Olfactory Hedonic Biases in Mouse Models of Depression
Published on: July 11, 2025
Exploring the utility of RDoC in differentiating effectiveness amongst antidepressants: A systematic review using
1NorthWestern Mental Health, The Royal Melbourne Hospital, Melbourne, Australia.
Background:
RDoC conceptualises psychopathology as neurobiologically-rooted behavioural psychological "constructs" that span dimensionally from normality to pathology, but its clinical utility remains controversial.
Aim:
To explore RDoC's potential clinical utility by examining antidepressant effectiveness through Negative Valence Systems (NVS) domain constructs.
Method:
A systematic review was conducted on Web of Science, MEDLINE, EMBASE and PsycINFO for antidepressant trials that included psychometric instruments assessed by Watson, Stanton & Clark (2017) to represent NVS constructs of Acute Threat, Potential Threat and Loss.
Results:
221 citations were identified; 13 were included in qualitative synthesis, none for quantitative analysis. All suffered from significant bias risks. 9 antidepressants were investigated, most within 1 construct, and most were found to be effective. Paroxetine, citalopram and fluvoxamine were found to be effective for Acute Threat, fluoxetine, desvenlafaxine and sertraline for Potential Threat, and sertraline, fluvoxamine, fluoxetine and desvenlafaxine effective for Loss. Nefazodone was found to be ineffective for acute fear.
Conclusion:
Preliminary evidence supports RDoC NVS constructs' clinical utility in assessing antidepressant effectiveness, but lack of discriminant validity between Potential Threat and Loss supports their recombination into a single Distress construct. Finding of effectiveness within "normal" construct levels support the utility of a dimensional approach. Testable hypotheses were generated that can further test RDoC's clinical utility.
Related Concept Videos
Antidepressant Drugs: MAOIs and Other Agents
Depressive Disorders: MDD and Dysthymia
Self-Report Tests of Personality
Antidepressant Drugs: Overview
Depressive Disorders: Etiology
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Diagnostic and Statistical Manual of Mental Disorders (DSM)

