Age-disproportionate atrophy in Alzheimer's disease and Parkinson's disease spectra.

Journal: Alzheimer's & dementia (Amsterdam, Netherlands)

Volume: 17

Issue: 1

Year of Publication: 

Affiliated Institutions:  Department of Integrated Neuroanatomy and Neuroimaging Kyoto University Graduate School of Medicine Kyoto Japan. Department of Advanced Neuroimaging, Integrative Brain Imaging Center National Center of Neurology and Psychiatry Kodaira Tokyo Japan. Department of Human Health Sciences Kyoto University Graduate School of Medicine Kyoto Japan. Department of Psychiatry Kyoto University Graduate School of Medicine Kyoto Japan. Department of Neurology, Graduate School of Medical Science Kyoto Prefectural University of Medicine Kyoto Japan. Department of Psychiatry, Graduate School of Medical Science Kyoto Prefectural University of Medicine Kyoto Japan. Department of Neurology Fukushima Medical University Fukushima Japan. Department of Neuropsychiatry Fukushima Medical University Fukushima Japan. Tohoku Medical Megabank Organization Tohoku University Sendai Japan.

Abstract summary 

Brain age gap (BAG), defined as the difference between MRI-predicted 'brain age' and chronological age, can capture information underlying various neurological disorders. We investigated the pathophysiological significance of the BAG across neurodegenerative disorders.We developed a brain age estimator using structural MRIs of healthy-aged individuals from one cohort study. Subsequently, we applied this estimator to people with Alzheimer's disease spectra (AD) and Parkinson's disease (PD) from another cohort study. We investigated brain sources responsible for BAGs among these groups.Both AD and PD exhibited a positive BAG. Brain sources showed overlapping, yet partially segregated, neuromorphological differences between these groups. Furthermore, employing with t-distributed stochastic neighbor embedding on the brain sources, we subclassified PD into two groups with and without cognitive impairment.Our findings suggest that brain age estimation becomes a clinically relevant method for finely stratifying neurodegenerative disorders.Brain age estimated from structure MRI data was greater than chronological age in patients with Alzheimer's disease/mild cognitive impairment or Parkinson's disease.Brain regions attributed to brain age estimation were located mainly in the fronto-temporo-parietal cortices but not in the motor cortex or subcortical regions.Brain sources responsible for the brain age gaps revealed roughly overlapping, yet partially segregated, neuromorphological differences between participants with Alzheimer's disease/mild cognitive impairment and Parkinson's disease.Participants with Parkinson's disease were subclassified into two groups (with and without cognitive impairment) based on brain sources responsible for the brain age gaps.

Authors & Co-authors:  Yoshinaga Kenji K Matsushima Toma T Abe Mitsunari M Takamura Tsunehiko T Togo Hiroki H Wakasugi Noritaka N Sawamoto Nobukatsu N Murai Toshiya T Mizuno Toshiki T Matsuoka Teruyuki T Kanai Kazuaki K Hoshino Hiroshi H Sekiguchi Atsushi A Fuse Nobuo N Mugikura Shunji S Hanakawa Takashi T

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Bethlehem RaI, Seidlitz J, White SR, et al. Brain charts for the human lifespan. Nature. 2022;604(7906):525‐533. doi:10.1038/s41586-022-04554-y
Authors :  17
Identifiers
Doi : e70048
SSN : 2352-8729
Study Population
Male,Female
Mesh Terms
Other Terms
MRI;cognitive impairment;cohort;imaging markers;machine learning
Study Design
Cohort Study
Study Approach
Country of Study
Publication Country
United States