Evidence mapPaperPMID 42465425Full record

ArticlebioRxiv : the preprint server for biology2026

Adversity and adolescent brain development: differential associations with grey and white matter across two longitudinal cohorts.

Lea C Michel, Divyangana Rakesh, Tobias Banaschewski, Gareth J Barker, Arun L W Bokde, Rüdiger Brühl, Sylvane Desrivières, Herta Flor, Penny Gowland, Antoine Grigis and 16 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

26 authors.

Lea C MichelMedical Neuroscience Department, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0003-1529-573X
Divyangana RakeshDepartment of Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0002-8529-2086
Tobias BanaschewskiDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; German Center for Mental Health (DZPG), partner site Mannheim-Heidelberg-Ulm.ORCID 0000-0003-4595-1144
Gareth J BarkerDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.ORCID 0000-0002-5214-7421
Arun L W BokdeDiscipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0003-0114-4914
Rüdiger BrühlPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.ORCID 0000-0003-0111-5996
Sylvane DesrivièresSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.ORCID 0000-0002-9120-7060
Herta FlorInstitute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany.ORCID 0000-0003-4809-5398
Penny GowlandSir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.ORCID 0000-0002-4900-4817
Antoine GrigisNeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France.ORCID 0000-0001-7984-3710
Andreas HeinzDepartment of Psychiatry and Psychotherapy, University of Tübingen, Germany; German Center for Mental Health (DZPG), Site Tübingen, Germany.ORCID 0000-0001-5405-9065
Herve LemaitreNeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France.ORCID 0000-0002-5952-076X
Frauke NeesInstitute of Medical Psychology, Ludwig-Maximilians-Universität (LMU) in Munich, Munich, Germany.ORCID 0000-0002-7796-8234
Dimitri Papadopoulos OrfanosDepartment of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany.ORCID 0000-0002-1242-8990
Tomáš PausDepartments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada.ORCID 0000-0003-1495-9338
Luise PoustkaDepartment of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0002-7738-4394
Michael N SmolkaDepartment of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0001-5398-5569
Nathalie HolzDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; German Center for Mental Health (DZPG), partner site Mannheim-Heidelberg-Ulm.ORCID 0000-0002-0445-6641
Nilakshi VaidyaCentre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany.ORCID 0000-0002-4600-7158
Henrik WalterDepartment of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.ORCID 0000-0002-9403-6121
Robert WhelanSchool of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland.ORCID 0000-0002-2790-7281
Paul WirschingDepartment of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.ORCID 0000-0003-1228-6846
Gunter SchumannCentre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany.ORCID 0000-0002-7740-6469
IMAGEN Consortium
Delia FuhrmannDepartment of Psychology, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0003-4678-8828
Rogier A KievitMedical Neuroscience Department, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0003-0700-4568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, 60% of the population has experienced at least one type of adversity (e.g., emotional abuse, bullying) across infancy, childhood, and adolescence. Such experiences have been linked to an increased risk for mental health disorders. Changes in brain structure following experiences of childhood adversity have been hypothesised to be a mechanistic pathway explaining later mental health issues. However, to understand how changes in brain structure might mediate the effects of adversity, it is essential to identify which underlying neuronal processes may be affected by different types of adverse experiences. A key open question is whether grey or white matter is more vulnerable to adversity, as these two structures reflect distinct neurobiological mechanisms. This study investigated whether differences in trajectories of grey and white matter development during adolescence can be explained by exposure to different types of adversity. We applied the Adverse Adolescent Experiences Framework (Pollmann et al., 2025) categorising adversity into four levels: Intrapersonal (e.g., accidents), Caregiver (e.g., emotional neglect), Peer (e.g., bullying), and Community (e.g., neighbourhood safety). Exposure to each of the four factors was estimated through principal components analyses. We analysed two large longitudinal datasets: the Adolescent Brain Cognitive Development study (~12,000 adolescents measured at ages 10, 12, and 14) and the IMAGEN study (~1,400 adolescents measured at ages 14, 19, and 22). Using latent growth curve models, we captured individual differences in brain development by estimating baseline levels (intercepts) and rates of change (slopes) for total grey matter volume and mean white matter fractional anisotropy. In both cohorts, we found significant interindividual variability in baseline levels and rates of change for both grey matter volume and fractional anisotropy. Caregiver, Peer, and Community adversities were negatively associated only with the intercepts of grey matter volume and white matter fractional anisotropy. Importantly, associations differed between grey and white matter. In ABCD, Peer and Community adversities were more strongly associated with grey matter volume intercepts. In contrast, in IMAGEN, Caregiver, Peer and Community adversities were more strongly linked to white matter fractional anisotropy intercepts. This suggests that adversity has unique associations with grey and white matter, rather than exerting a uniform influence on brain structure. By demonstrating that different environments generate distinct biological associations with brain maturation, this work underscores the need to consider both grey and white matter when assessing the neurodevelopmental pathways to outcomes across the lifespan.

Identifiers

PMID42465425
PMCPMC13370338

What Socratic 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 Socratic graph.