Evidence map›Paper›PMID 41369125›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2026

From dysphoria to anhedonia: age-related shift in the link between cognitive and affective symptoms.

Daniel Harlev, Aya Vituri, Moni Shahar, Noham Wolpe

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Daniel HarlevDepartment of Physical Therapy, The Stanley Steer School of Health Professions, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID 0009-0007-3629-9234
Aya VituriTel Aviv Center for Artificial Intelligence & Data Science (TAD), Tel Aviv University, Tel Aviv, Israel.
Moni ShaharTel Aviv Center for Artificial Intelligence & Data Science (TAD), Tel Aviv University, Tel Aviv, Israel.
Noham WolpeDepartment of Physical Therapy, The Stanley Steer School of Health Professions, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0002-4652-7727

Funding

Israel Science Foundation 1603/22Israel Science Foundation Mavri fellowship
6 · The paper itself

Abstract

objectiveDepression in aging shows heterogeneous symptoms across cognitive, affective, and neurobiological domains. Traditional categorical diagnoses may not capture these complex patterns, prompting a shift toward dimensional or domain-based approaches. We examined whether the symptoms that bridge cognition and affect differ by age and explored their associations with brain structure.

methodsData from 756 young (≤45 years) and 1,230 older (≥65 years) adults from the Cambridge Centre for Ageing and Neuroscience were analyzed. Cognition was assessed using the Addenbrooke's Cognitive Examination-Revised, and depressive and anxiety symptoms were assessed using the Hospital Anxiety and Depression Scale. Graphical LASSO was used to construct cognitive-affective networks, testing for age-related differences in strength and bridging centrality measures. Building on these findings, we further examined the association between bridging symptoms, cognition, and gray matter volume (GMV).

resultsSymptom strength centrality was similar across age groups. However, significant age-related differences emerged in bridging symptoms. Specifically, the primary bridging symptom differed, with dysphoria in young adults and anhedonia in older adults. Follow-up analyses showed that cognition mediated the link between GMV and anhedonia, but not dysphoria, particularly in older adults. DISCUSSION: Cognitive-affective bridging symptoms differ with age, with anhedonia replacing dysphoria as the key bridge in older adults. This shift was linked to age-related differences in the relationship between GMV, cognition, and depressive symptoms. These results highlight the need to target different symptoms to alleviate cognitive-affective manifestations across the lifespan.

Indexed as

AgingAnhedoniaCognitionDepressionAdultAgedAged, 80 and overAge FactorsAnxietyFemaleGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedYoung AdultBridgingCognitionDepressionGray matter volumeSymptoms Network Analysis

Identifiers

PMID41369125
PMCPMC12815602

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.