ArticleBrain communications2021
Advanced brain ageing in Parkinson's disease is related to disease duration and individual impairment.
Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 62 citations in OpenAlex.
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- Hybrid deep learning model for brain age prediction using time-distributed convolutional and bidirectional LSTM networks.Scientific reports · 2026Article
- Aging beyond diagnosis: the MRI brain age gap across disorders.GeroScience · 2026Review
- [Research progress on intelligent brain age prediction methods in diagnosis of Parkinson's disease].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Review
- Digital language measures capture episodic memory disruptions in people with human immunodeficiency virus: A machine learning study.The Clinical neuropsychologist · 2026Article
- Fifteen years on: a review of the Cam-CAN study of the cognitive neuroscience of ageing.GeroScience · 2026Review
- Midbrain length by the one-line method predicts motor outcome after deep brain stimulation in Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Neonatal brain-age models in full- and preterm infants.bioRxiv : the preprint server for biology · 2026Article
- Brain Age Disparities in Psychosis Across DSM Diagnoses and B-SNIP Biotypes.Schizophrenia bulletin · 2026Article
- Subcortical Brain-Age Gaps Reveal Asymmetric Aging Patterns in Parkinson's Disease With Cognitive Impairment.Brain and behavior · 2026Article
- Brain age gap as predictor of disease progression in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Disentangling Neurodegeneration with Brain Age Gap Prediction Models: A Graph Signal Processing Perspective.ArXiv · 2025Article
- When Age Is More Than a Number: Acceleration of Brain Aging in Neurodegenerative Diseases.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- Advanced brain aging, selective vulnerability in gray matter, and cognition in Parkinson's disease.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- SAGEFusionNet: An Auxiliary Supervised Graph Neural Network for Brain Age Prediction as a Neurodegenerative Biomarker.Brain sciences · 2025Article
- Atrophy related neuroimaging biomarkers for neurological and cognitive function in Wilson disease.Neurological research and practice · 2025Article
- Lipid profiling of Parkinson's disease brain highlights disruption in Lysophosphatidylcholines, and triacylglycerol metabolism.NPJ Parkinson's disease · 2025Article
- Do Transformers and CNNs Learn Different Concepts of Brain Age?Human brain mapping · 2025Article
- Volumetric Changes in Cerebellar Transverse Zones: Age and Sex Effects in Health and Neurological Disorders.Human brain mapping · 2025Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Machine learning can reliably predict individual age from MRI data, revealing that patients with neurodegenerative disorders show an elevated biological age. A surprising gap in the literature, however, pertains to Parkinson's disease. Here, we evaluate brain age in two cohorts of Parkinson's patients and investigated the relationship between individual brain age and clinical characteristics. We assessed 372 patients with idiopathic Parkinson's disease, newly diagnosed cases from the Parkinson's Progression Marker Initiative database and a more chronic local sample, as well as age- and sex-matched healthy controls. Following morphometric preprocessing and atlas-based compression, individual brain age was predicted using a multivariate machine learning model trained on an independent, multi-site reference sample. Across cohorts, healthy controls were well predicted with a mean error of 4.4 years. In turn, Parkinson's patients showed a significant (controlling for age, gender and site) increase in brain age of ∼3 years. While this effect was already present in the newly diagnosed sample, advanced biological age was significantly related to disease duration as well as worse cognitive and motor impairment. While biological age is increased in patients with Parkinson's disease, the effect is at the lower end of what is found for other neurological and psychiatric disorders. We argue that this may reflect a heterochronicity between forebrain atrophy and small but behaviourally salient midbrain pathology. Finally, we point to the need to disentangle physiological ageing trajectories, lifestyle effects and core pathological changes.
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