Evidence map›Paper›PMID 42817910›Full record

ReviewBipolar disorders2026

Emotional Responses (Intensity/Valence) Fulfill RDoC Criteria but Remain Excluded From Diagnostic Classifications of Mood Disorders.

Chantal Henry, Chlöé Müh, Claire-Hélène de Badts, Mariana Alonso, Lucie Berkovitch

Abstract readReview
In one paragraph

Review in Bipolar disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chantal HenryDepartment of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neurosciences, Sainte-Anne Hospital, Paris, France.ORCID https://orcid.org/0000-0002-1549-9604
Chlöé MühCentre National de la Recherche Scientifique, Unité Mixte de Recherche 3571, Institut Pasteur, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0003-2313-8056
Claire-Hélène de BadtsCentre National de la Recherche Scientifique, Unité Mixte de Recherche 3571, Institut Pasteur, Université Paris Cité, Paris, France.
Mariana AlonsoCentre National de la Recherche Scientifique, Unité Mixte de Recherche 3571, Institut Pasteur, Université Paris Cité, Paris, France.
Lucie BerkovitchDepartment of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neurosciences, Sainte-Anne Hospital, Paris, France.ORCID https://orcid.org/0000-0001-5098-7921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCategorical classifications of depression, such as DSM-5 and ICD, are limited by high clinical heterogeneity, arbitrary diagnostic thresholds, and weak links to underlying pathophysiology. In line with the Research Domain Criteria (RDoC) framework, this article proposes a dimensional and mechanistic approach centered on emotional responses as core transdiagnostic features of mood disorders. Emotional responses are conceptualized along two fundamental dimensions: intensity (arousal) and hedonic valence.

methodsThis perspective integrates evidence from clinical, psychophysiological, neuroimaging, and preclinical studies.

resultsDepressive episodes may be characterized by either emotional hyporeactivity (emotional blunting and reduced responsiveness) or emotional hyperreactivity (heightened distress, anxiety, irritability, and emotional lability), the latter being closely associated with mixed features, particularly in bipolar depression. In parallel, depression is marked by maladaptive valence attribution, encompassing anhedonia related to reward-system dysfunction and a pervasive negativity bias. Preclinical findings implicate dysregulated basolateral amygdala circuits in valence attribution and demonstrate the reversibility of negativity bias with antidepressant interventions.

conclusionsIntegrating emotional intensity and valence within an RDoC-informed framework provides a biologically grounded account of depressive heterogeneity, refines the characterization of mixed states, and offers clinically relevant guidance for treatment selection. This perspective supports the development of personalized therapeutic strategies and the systematic inclusion of emotional dimensions in clinical research.

Indexed as

EmotionsMood DisordersHumansamygdalaanhedoniabipolar disorderdepressive disorderemotions

Identifiers

PMID42817910
PMCPMC13628418

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.