ArticleHuman brain mapping2019
Characterization of a temporoparietal junction subtype of Alzheimer's disease.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Research landscape of neurodegenerative diseases and brain energy metabolism: A multi-database integrative analysis.IBRO neuroscience reports · 2026Article
- Meta analysis of glucose metabolism across Alzheimer's, Parkinson's and ALS Reveals emergence of adaptive brain glucometabolic responses and associated neurological functional profiles.medRxiv : the preprint server for health sciences · 2026Article
- Gray matter atrophy mediates the association between cerebral hypometabolism and cognitive impairment in Alzheimer's disease.Frontiers in neurology · 2026Article
- Functional propriospinal myoclonus in Alzheimer's disease: coincidence or a new challenge?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Lower cortical thickness and increased brain aging in adults with cocaine use disorder.Frontiers in psychiatry · 2023Article
- Data-driven FDG-PET subtypes of Alzheimer's disease-related neurodegeneration.Alzheimer's research & therapy · 2021Article
- Characterization of a temporoparietal junction subtype of Alzheimer's disease.Human brain mapping · 2019Article
- The Combined Use of Neuropsychiatric and Neuropsychological Assessment Tools to Make a Differential Dementia Diagnosis in the Presence of "Long-Haul" COVID-19.Case reports in neurologyArticle
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Alzheimer's disease (AD) subtypes have been described according to genetics, neuropsychology, neuropathology, and neuroimaging. Thirty-one patients with clinically probable AD were selected based on perisylvian metabolic decrease on FDG-PET. They were compared to 25 patients with a typical pattern of decreased posterior metabolism. Tree-based machine learning was used on those 56 images to create a classifier that was subsequently applied to 207 Alzheimer's Disease Neuroimaging Initiative (ADNI) patients with AD. Machine learning was also used to discriminate between the two ADNI groups based on neuropsychological scores. Compared to AD patients with a typical precuneus metabolic decrease, the new subtype showed stronger hypometabolism in the temporoparietal junction. The classifier was able to distinguish the two groups in the ADNI population. Both groups could only be distinguished cognitively by Trail Making Test-A scores. This study further confirms that there is more than a typical metabolic pattern in probable AD with amnestic presentation.
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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 OpenQuestion graph.