ArticleJournal of neurology2024
A multimodal clinical diagnostic approach using MRI and
Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- FDG-PET imaging to identify brain regions associated with Alzheimer's disease-related TDP-43 proteinopathy: A predictive model using penalized logistic regression analysis.Journal of Alzheimer's disease : JAD · 2026Article
- Specific atrophy patterns distinguish tau and TDP-43 pathology: a longitudinal MRI ante-mortem study.Acta neuropathologica communications · 2025Article
- Article
- Relation of Alzheimer's disease-related TDP-43 proteinopathy to metrics from diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI).Neurobiology of aging · 2025Article
- New criteria to predict LATE-NC in the clinical setting: Probable/Possible LATE and LANS.Journal of neuropathology and experimental neurology · 2025Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveTo evaluate the utility of clinical assessment scales for MRI and
methodsWe conducted a cross-sectional analysis on patients with antemortem MRI and
resultsOf the 64 cases in the study, 20 (31%) were TDP-43 ( +), of which 12 (60%) were female. TDP-43 ( +) cases were more likely to have hippocampal sclerosis (HS) (p = 0.014) and moderate-severe medial temporal lobe atrophy on MRI (p = 0.048). TDP-43( +) cases also showed a trend for less parietal atrophy on MRI (p = 0.086) and more medial temporal lobe hypometabolism on
conclusionVisual inspection of the medial temporal lobe on MRI and FDG-PET may help to predict TDP-43 status in the context of low-intermediate ADNC and PART.
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Registered trials
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.