Eickhoff, Claudia R
[Author];
Hoffstaedter, Felix
[Author];
Caspers, Julian
[Author];
Reetz, Kathrin
[Author];
Mathys, Christian
[Author];
Dogan, Imis
[Author];
Amunts, Katrin
[Author];
Schnitzler, Alfons
[Author];
Eickhoff, Simon B
[Author]
Advanced brain aging in Parkinson’s disease is related to disease duration and individual impairment
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Media type:
E-Article
Title:
Advanced brain aging in Parkinson’s disease is related to disease duration and individual impairment
Contributor:
Eickhoff, Claudia R
[Author];
Hoffstaedter, Felix
[Author];
Caspers, Julian
[Author];
Reetz, Kathrin
[Author];
Mathys, Christian
[Author];
Dogan, Imis
[Author];
Amunts, Katrin
[Author];
Schnitzler, Alfons
[Author];
Eickhoff, Simon B
[Author]
imprint:
Guarantors of Brain, 2021
Published in:Brain communications 3(3), fcab191 (2021). doi:10.1093/braincomms/fcab191
Language:
English
DOI:
https://doi.org/10.1093/braincomms/fcab191
ISSN:
2632-1297
Origination:
Footnote:
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Description:
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 characteristicsWe 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 & site) increase in brain age of ∼3 years. While this effect was already present in the newly diagnosed PPMI 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 aging trajectories, lifestyle effects and core pathological changes.