Evidence map›Paper›PMID 41943954›Full record

ArticlePsychological medicine2026

Linking brain structure to stress reactivity: cingulate surface area predicts acute cortisol responses.

Emin Serin, Lea Sophie Schill, Christoph Bärtl, Marina Giglberger, Julian Konzok, Hannah L Peter, Nina Speicher, Ludwig Kreuzpointner, Brigitte M Kudielka, Stefan Wüst and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Psychological medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

12 authors.

Emin SerinDepartment of Psychiatry and Neurosciences CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin, Germany.ORCID 0000-0002-3570-3027
Lea Sophie SchillDepartment of Psychiatry and Neurosciences CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin, Germany.ORCID 0009-0004-1423-354X
Christoph BärtlDepartment of Psychiatry and Neurosciences CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin, Germany.ORCID 0000-0002-0349-6254
Marina GiglbergerInstitute of Psychology, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-1828-8474
Julian KonzokInstitute of Psychology, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-4232-4105
Hannah L PeterInstitute of Psychology, University of Regensburg, Regensburg, Germany.
Nina SpeicherInstitute of Psychology, University of Regensburg, Regensburg, Germany.ORCID 0000-0003-2725-6498
Ludwig KreuzpointnerInstitute of Psychology, University of Regensburg, Regensburg, Germany.ORCID 0000-0003-1391-0807
Brigitte M KudielkaInstitute of Psychology, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-8349-926X
Stefan WüstInstitute of Psychology, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-2315-8949
Henrik WalterDepartment of Psychiatry and Neurosciences CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin, Germany.ORCID 0000-0002-9403-6121
Gina-Isabelle HenzeDepartment of Psychiatry and Neurosciences CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin, Germany.ORCID 0000-0002-3397-1351

Funding

Deutsche Forschungsgemeinschaft FOR5187 (Project Number 442075332)Deutsche Forschungsgemeinschaft HE9212/1-1 (Project Number 513531314)
6 · The paper itself

Abstract

backgroundAltered stress responses are closely linked to mental disorders, but the role of brain structure in acute cortisol responses to psychosocial stress remains underexplored, particularly in healthy individuals. Previous studies, with predominantly small samples, primarily focused on selected limbic regions and functional measures. Thus, this study investigates associations between brain structure and cortisol responses to psychosocial stress, exploring if hypothalamic-pituitary-adrenal axis reactivity can be predicted from brain morphology.

methodsOur study included 291 subjects (157 females, 18-62 years) and consisted of two parts. First, a confirmatory analysis examined associations between specific cortical surface area, thickness, and subcortical volume with stress-induced cortisol increases using Permutation Analysis of Linear Models (PALM). Second, we conducted an exploratory whole-brain vertex-wise analysis, followed by out-of-sample prediction of cortisol increases from structural measures.

resultsWe found consistent negative associations between cingulate cortex (CC) sub-structures and acute cortisol increases. In PALM- and whole-brain analysis, a smaller surface area of the left rostral and caudal anterior cingulate cortex (cACC), posterior cingulate cortex, and right cACC were associated with higher cortisol stress responses, particularly in males. The left cACC surface area emerged as the most promising predictor in machine learning analyses. Additionally, other fronto-limbic structures were also associated with or predictive of acute cortisol reactivity.

conclusionsOur findings demonstrate that cortical and subcortical structural measures, particularly smaller surface areas of the CC, predict acute hormonal stress responses. Notably, the left cACC emerged as the most consistent predictor, emphasizing its important role in stress reactivity.

Indexed as

Gyrus CinguliHydrocortisoneHypothalamo-Hypophyseal SystemStress, PsychologicalAdolescentAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPituitary-Adrenal SystemYoung AdultHydrocortisoneFreeSurferhypothalamic–pituitary–adrenal (HPA) axismachine learningpermutation analysis of linear models (PALM)psychosocial stressScanSTRESS

Identifiers

PMID41943954
PMCPMC13079226

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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.