Evidence map›Paper›PMID 41895840›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2026

On the relationships between apathy, depression and anhedonia.

Sijia Zhao, Rong Ye, Aayushi Sen, Jacqueline Scholl, Patricia Lockwood, Meijia Li, Kübra Fethiye Karataş, Yuen-Siang Ang, Simon J Little, Catherine J Harmer and 6 more

Abstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

16 authors.

Sijia ZhaoDepartment of Experimental Psychology, University of Oxford, Oxford, UK sijia.zhao@psy.ox.ac.uk.ORCID http://orcid.org/0000-0002-6246-0702
Rong YeSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, People's Republic of China.ORCID http://orcid.org/0000-0003-2529-7755
Aayushi SenDivision of Clinical Neurology, John Radcliffe Hospital, Oxford, UK.
Jacqueline SchollLyon Neuroscience Research Centre, Bron, France.
Patricia LockwoodCentre for Developmental Sciences, School of Psychology, University of Birmingham, Birmingham, UK.
Meijia LiCentre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0001-8893-3697
Kübra Fethiye KarataşCentre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0009-0001-4776-2227
Yuen-Siang AngSocial and Cognitive Computing Department, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore.
Simon J LittleDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Catherine J HarmerDepartment of Psychiatry, University of Oxford, Oxford, UK.
Kongliang HeAnhui Mental Health Center, Hefei, Anhui, People's Republic of China.
Qianqian LiDepartment of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
Kai WangSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Matthew A J AppsCentre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK.
Sanjay ManoharDepartment of Experimental Psychology, University of Oxford, Oxford, UK.
Masud HusainDepartment of Experimental Psychology, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-6850-9255

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApathy, depression and anhedonia are clinically overlapping constructs, which hinders diagnostic clarity and treatment development. This study aimed to comprehensively characterise these syndromes to identify a core set of non-redundant symptoms that maximally dissociate them and to investigate the psychological nature of key distinguishing features.

methodsData from seven datasets (N=4578) of healthy individuals and patients with major depressive disorder were analysed using the Apathy Motivation Index, Beck Depression Inventory and Snaith-Hamilton Pleasure Scale. A machine-learning algorithm identified the most informative, non-redundant items for dissociating 'pure' apathy, depression and anhedonia. The nature of emotional apathy was further investigated with follow-up studies.

resultsAlthough substantial symptom overlap existed, 'pure' syndromes were present. Factor analysis revealed a robust five-factor structure, separating depression, anhedonia and three distinct apathy domains (behavioural, social and emotional). Machine learning identified 10 core symptoms that differentiated the pure syndromes with high accuracy (area under the curve >0.90) and could also identify well the presence of each syndrome in individuals suffering from two or more syndromes. Emotional apathy negatively correlated with depression and was specifically associated with reduced affective empathy and a diminished sensitivity to the intensity of negative facial emotions, rather than with alexithymia or antidepressant-induced emotional blunting.

conclusionsApathy, depression and anhedonia are dissociable constructs with distinct symptom signatures. Emotional apathy is a unique dimension which provides a novel target for research. A 10-item Apathy-Depression-Anhedonia Measure developed here provides a pragmatic tool for rapid, precise phenotyping to guide more personalised therapeutic strategies.

Indexed as

AnhedoniaApathyDepressionMajor Depressive DisorderAdultFemaleHumansMachine LearningMaleMiddle AgedPsychiatric Status Rating ScalesAPATHYArtificial IntelligenceCOMPUTATIONAL PSYCHIATRYDEPRESSION

Identifiers

PMID41895840
PMCPMC13288954

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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.