{"title":"Emotional Responses (Intensity/Valence) Fulfill RDoC Criteria but Remain Excluded From Diagnostic Classifications of Mood Disorders","authors":"Chantal Henry, Chlöé Müh, Claire-Hélène de Badts, Mariana Alonso, Lucie Berkovitch","doi":"10.1111/bdi.70182","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objectives</h3>\n \n <p>Categorical 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.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This perspective integrates evidence from clinical, psychophysiological, neuroimaging, and preclinical studies.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Depressive 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.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Integrating 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.</p>\n </section>\n </div>","PeriodicalId":8959,"journal":{"name":"Bipolar Disorders","volume":"28 7","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13628418/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bipolar Disorders","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/bdi.70182","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives
Categorical 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.
Methods
This perspective integrates evidence from clinical, psychophysiological, neuroimaging, and preclinical studies.
Results
Depressive 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.
Conclusions
Integrating 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.
期刊介绍:
Bipolar Disorders is an international journal that publishes all research of relevance for the basic mechanisms, clinical aspects, or treatment of bipolar disorders and related illnesses. It intends to provide a single international outlet for new research in this area and covers research in the following areas:
biochemistry
physiology
neuropsychopharmacology
neuroanatomy
neuropathology
genetics
brain imaging
epidemiology
phenomenology
clinical aspects
and therapeutics of bipolar disorders
Bipolar Disorders also contains papers that form the development of new therapeutic strategies for these disorders as well as papers on the topics of schizoaffective disorders, and depressive disorders as these can be cyclic disorders with areas of overlap with bipolar disorders.
The journal will consider for publication submissions within the domain of: Perspectives, Research Articles, Correspondence, Clinical Corner, and Reflections. Within these there are a number of types of articles: invited editorials, debates, review articles, original articles, commentaries, letters to the editors, clinical conundrums, clinical curiosities, clinical care, and musings.