Evidence map›Paper›PMID 41152396›Full record

Trial reportScientific reports2025

Impact of meditation on brain age derived from multimodal neuroimaging in experts and older adults from a randomized trial.

Sacha Haudry, Natacha Lambert, Christian Gaser, Bertrand Thirion, Brigitte Landeau, Julie Gonneaud, Géraldine Poisnel, Pierre Champetier, Asrar Lehodey, Natalie L Marchant and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 2025. 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

16 authors.

Sacha HaudryNormandy University, UNICAEN, INSERM, UA20, Neuropresage, Cyceron, 14000, Caen, France.
Natacha LambertNormandy University, UNICAEN, INSERM, UA20, Neuropresage, Cyceron, 14000, Caen, France.
Christian GaserDepartment of Neurology, Jena University Hospital, Jena, Germany.
Bertrand ThirionInria, CEA, Université Paris-Saclay, Paris, France.
Brigitte LandeauNormandy University, UNICAEN, INSERM, UA20, Neuropresage, Cyceron, 14000, Caen, France.
Julie GonneaudNormandy University, UNICAEN, INSERM, UA20, Neuropresage, Cyceron, 14000, Caen, France.
Géraldine PoisnelNormandy University, UNICAEN, INSERM, UA20, Neuropresage, Cyceron, 14000, Caen, France.
Pierre ChampetierNormandy University, UNICAEN, INSERM, UA20, Neuropresage, Cyceron, 14000, Caen, France.
Asrar LehodeyNormandy University, UNICAEN, INSERM, UA20, Neuropresage, Cyceron, 14000, Caen, France.
Natalie L MarchantDivision of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.
Olga KlimeckiDevelopmental Psychology, Friedrich-Schiller-Universität Jena, Jena, Germany.
Fabienne ColletteGIGA-CRC Human Imaging, University of Liège, Liège, Belgium.
Denis VivienNormandy University, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood & Brain @ Caen, Cyceron, 14000, Caen, France.
Vincent de la SayetteService de Neurologie, CHU de Caen, Caen, France.
Antoine LutzLyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, Lyon 1 University, Lyon, France.
Gaël ChételatNormandy University, UNICAEN, INSERM, UA20, Neuropresage, Cyceron, 14000, Caen, France. chetelat@cyceron.fr.

Funding

Alzheimer's Society AS-SF-15b-002Secrétariat d'état à la formation, à la recherche et à l'innovation 15.0336
6 · The paper itself

Abstract

Meditation is thought to promote healthy aging by improving mental health, preserving brain integrity and reducing Alzheimer's disease risk. We examined the impact of long-term meditation expertise and an 18-month meditation training on brain aging in older adults using machine learning. We included 25 Older Expert Meditators (OldExpMed) with > 20 years of practice and 135 Cognitively Unimpaired Older Adults (CUOA) from the Age-Well randomized controlled trial. CUOA were randomized (1:1:1) into an 18-month meditation training, a non-native language training, and a no intervention group. Brain age was predicted using a machine learning model trained on gray and white matter volume and glucose metabolism data from ADNI and replicated with a second model. Brain Predicted Age Difference (BrainPAD) was computed as the gap between predicted and chronological age. We assessed meditation expertise effects on BrainPAD, its links with meditation hours, cognitive, and affective measures, and the impact of 18-month training. Compared to CUOA, OldExpMed exhibited significantly lower/more negative BrainPAD, linked to meditation hours, mental imagery, and prosocialness. No significant effect of 18-month training was observed. Results were consistent across the replication model. Long-term meditation is associated with younger brain age, but 18-month training has no effect, emphasizing the need for sustained practice to support healthy brain aging.

Indexed as

AgingBrainMeditationNeuroimagingAgedAged, 80 and overCognitionFemaleHumansMachine LearningMagnetic Resonance ImagingMaleMiddle AgedMultimodal Imaging

Identifiers

PMID41152396
PMCPMC12569194

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.