Evidence map›Paper›PMID 39886323›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

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

Kenji Yoshinaga, Toma Matsushima, Mitsunari Abe, Tsunehiko Takamura, Hiroki Togo, Noritaka Wakasugi, Nobukatsu Sawamoto, Toshiya Murai, Toshiki Mizuno, Teruyuki Matsuoka and 7 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Association of imaging-defined brain age with disease severity and adverse outcomes in CADASIL.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Kenji YoshinagaDepartment of Integrated Neuroanatomy and Neuroimaging Kyoto University Graduate School of Medicine Kyoto Japan.
Toma MatsushimaDepartment of Advanced Neuroimaging, Integrative Brain Imaging Center National Center of Neurology and Psychiatry Kodaira Tokyo Japan.
Mitsunari AbeDepartment of Advanced Neuroimaging, Integrative Brain Imaging Center National Center of Neurology and Psychiatry Kodaira Tokyo Japan.
Tsunehiko TakamuraDepartment of Advanced Neuroimaging, Integrative Brain Imaging Center National Center of Neurology and Psychiatry Kodaira Tokyo Japan.
Hiroki TogoDepartment of Integrated Neuroanatomy and Neuroimaging Kyoto University Graduate School of Medicine Kyoto Japan.
Noritaka WakasugiDepartment of Advanced Neuroimaging, Integrative Brain Imaging Center National Center of Neurology and Psychiatry Kodaira Tokyo Japan.
Nobukatsu SawamotoDepartment of Human Health Sciences Kyoto University Graduate School of Medicine Kyoto Japan.
Toshiya MuraiDepartment of Psychiatry Kyoto University Graduate School of Medicine Kyoto Japan.
Toshiki MizunoDepartment of Neurology, Graduate School of Medical Science Kyoto Prefectural University of Medicine Kyoto Japan.
Teruyuki MatsuokaDepartment of Psychiatry, Graduate School of Medical Science Kyoto Prefectural University of Medicine Kyoto Japan.
Kazuaki KanaiDepartment of Neurology Fukushima Medical University Fukushima Japan.
Hiroshi HoshinoDepartment of Neuropsychiatry Fukushima Medical University Fukushima Japan.
Atsushi SekiguchiDepartment of Advanced Neuroimaging, Integrative Brain Imaging Center National Center of Neurology and Psychiatry Kodaira Tokyo Japan.
Nobuo FuseTohoku Medical Megabank Organization Tohoku University Sendai Japan.
Shunji MugikuraTohoku Medical Megabank Organization Tohoku University Sendai Japan.
Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study (TMMbMRI)Parkinson's and Alzheimer's disease Dimensional Neuroimaging Initiative (PADNI)
Takashi HanakawaDepartment of Integrated Neuroanatomy and Neuroimaging Kyoto University Graduate School of Medicine Kyoto Japan.ORCID https://orcid.org/0000-0003-3267-8214

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBrain 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.

methodsWe 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.

resultsBoth 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. DISCUSSION: Our findings suggest that brain age estimation becomes a clinically relevant method for finely stratifying neurodegenerative disorders. Highlights: 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.

Indexed as

cognitive impairmentcohortimaging markersmachine learningMRI

Identifiers

PMID39886323
PMCPMC11780112

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.