Brain age gap reduction following exercise mirrors clinical improvements in schizophrenia spectrum disorders

Schizophrenia spectrum disorders (SSD) are associated with accelerated brain aging, reflected in an increased brain age gap. This gap serves as a biomarker, indicating poorer brain health, cognitive deficits, and greater severity in specific symptom domains. Exercise holds promise as an adjunct therapy to mitigate these deficits by potentially promoting brain recovery. However, the extent of overall improvements in brain health following exercise, along with their predictors and relationships to symptom clusters, are yet to be determined. This study examined the brain age gap metric as a quantitative indicator of brain recovery in response to exercise. To achieve this, we aggregated data from two randomized controlled trials, analyzing baseline (n = 134) and 3- or 6-month post-exercise (n = 46) data from individuals with SSD. Our findings revealed that patients with a higher baseline body mass index (BMI) demonstrated greater brain recovery, as evidenced by a reduced brain age gap post-exercise. Furthermore, changes in the brain age gap were associated with improvements in negative symptoms and cognition, suggesting that reductions in brain-predicted age may reflect symptom relief, particularly in domains beyond positive symptoms. These results underscore the importance of BMI in brain health, support using the brain age gap as a surrogate marker for tracking clinically relevant brain recovery, and highlight the need for stratified interventions and combined lifestyle modifications to enhance outcomes in SSD.

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Publication Details

Journal
NeuroImage Clinical
Published
2025-01-01
DOI
https://doi.org/10.1016/j.nicl.2025.103881
Citations
2
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
2.94
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article

Brain age gap reduction following exercise mirrors clinical improvements in schizophrenia spectrum disorders

James H. Cole, Andreas Meyer‐Lindenberg, Dušan Hirjak, Isabel Maurus et al.
2 citations
NeuroImage Clinical
Schizophrenia research and treatment
2.94
article

Brain age gap reduction following exercise mirrors clinical improvements in schizophrenia spectrum disorders

James H. Cole, Andreas Meyer‐Lindenberg, Dušan Hirjak, Isabel Maurus, Sergi Papiol, Daniel Keeser, Andrea Schmitt, Peter Falkai, Berend Malchow, Henrik Walter, Deniz Yilmaz
article en
2 citations

Abstract

Schizophrenia spectrum disorders (SSD) are associated with accelerated brain aging, reflected in an increased brain age gap. This gap serves as a biomarker, indicating poorer brain health, cognitive deficits, and greater severity in specific symptom domains. Exercise holds promise as an adjunct therapy to mitigate these deficits by potentially promoting brain recovery. However, the extent of overall improvements in brain health following exercise, along with their predictors and relationships to symptom clusters, are yet to be determined. This study examined the brain age gap metric as a quantitative indicator of brain recovery in response to exercise. To achieve this, we aggregated data from two randomized controlled trials, analyzing baseline (n = 134) and 3- or 6-month post-exercise (n = 46) data from individuals with SSD. Our findings revealed that patients with a higher baseline body mass index (BMI) demonstrated greater brain recovery, as evidenced by a reduced brain age gap post-exercise. Furthermore, changes in the brain age gap were associated with improvements in negative symptoms and cognition, suggesting that reductions in brain-predicted age may reflect symptom relief, particularly in domains beyond positive symptoms. These results underscore the importance of BMI in brain health, support using the brain age gap as a surrogate marker for tracking clinically relevant brain recovery, and highlight the need for stratified interventions and combined lifestyle modifications to enhance outcomes in SSD.

NeuroImage ClinicalVol. 48
Heidelberg University (DE), University Hospital Heidelberg (DE), Humboldt-Universität zu Berlin (DE), Central Institute of Mental Health (DE), Universitätsmedizin Göttingen (DE), UK Dementia Research Institute (GB), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Max Planck Institute of Psychiatry (DE), Bezirkskrankenhaus Augsburg (DE), University College London (GB), University of Göttingen (DE), Charité - Universitätsmedizin Berlin (DE), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 8%
Schizophrenia research and treatment
2.94
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