ArticleBrain communications2022
Cognitive and behavioural but not motor impairment increases brain age in amyotrophic lateral sclerosis.
Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Quantifying multimodal longitudinal brain changes in presymptomatic C9orf72 disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Trial
- Toward a Behavioral Reserve Model in Amyotrophic Lateral Sclerosis.Annals of neurology · 2026Article
- Accelerated brain aging in amyotrophic lateral sclerosis and its prognostic associations: a cohort study.BMC medicine · 2026Article
- Dissecting epigenetic age acceleration in amyotrophic lateral sclerosis.Epigenomics · 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
- The role of cognitive and brain reserve in the clinical presentation and progression of amyotrophic lateral sclerosis.Scientific reports · 2025Article
- Cerebellar grey matter volume is associated with semantic fluency performance in amyotrophic lateral sclerosis patients.Brain communications · 2025Article
- Brain age in genetic and idiopathic Parkinson's disease.Brain communications · 2024Article
- Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis: Machine Learning for Biomarker Development.International journal of molecular sciences · 2023Review
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
Age is the most important single risk factor of sporadic amyotrophic lateral sclerosis. Neuroimaging together with machine-learning algorithms allows estimating individuals' brain age. Deviations from normal brain-ageing trajectories (so called predicted brain age difference) were reported for a number of neuropsychiatric disorders. While all of them showed increased predicted brain-age difference, there is surprisingly few data yet on it in motor neurodegenerative diseases. In this observational study, we made use of previously trained algorithms of 3377 healthy individuals and derived predicted brain age differences from volumetric MRI scans of 112 amyotrophic lateral sclerosis patients and 70 healthy controls. We correlated predicted brain age difference scores with voxel-based morphometry data and multiple different motoric disease characteristics as well as cognitive/behavioural changes categorized according to Strong and Rascovsky. Against our primary hypothesis, there was no higher predicted brain-age difference in the amyotrophic lateral sclerosis patients as a group. None of the motoric phenotypes/characteristics influenced predicted brain-age difference. However, cognitive/behavioural impairment led to significantly increased predicted brain-age difference, while slowly progressive as well as cognitive/behavioural normal amyotrophic lateral sclerosis patients had even younger brain ages than healthy controls. Of note, the cognitive/behavioural normal amyotrophic lateral sclerosis patients were identified to have increased cerebellar brain volume as potential resilience factor. Younger brain age was associated with longer survival. Our results raise the question whether younger brain age in amyotrophic lateral sclerosis with only motor impairment provides a cerebral reserve against cognitive and/or behavioural impairment and faster disease progression. This new conclusion needs to be tested in subsequent samples. In addition, it will be interesting to test whether a potential effect of cerebral reserve is specific for amyotrophic lateral sclerosis or can also be found in other neurodegenerative diseases with primary motor impairment.
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Registered trials
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