ArticleAlzheimer's research & therapy2024
Greater baseline cortical atrophy in the dorsal attention network predicts faster clinical decline in Posterior Cortical Atrophy.
Article in Alzheimer's research & therapy, 2024. 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.
- EOAD-Signature Atrophy Predicts Dementia in Early-Onset MCI due to Alzheimer Disease: An MRI-Based Prognostic Biomarker.Neurology · 2026Article
- Functional network contributions to longitudinal tau spread in Posterior Cortical Atrophy.NPJ dementia · 2026Article
- Disrupted brain topological network and its association with clinical features in posterior cortical atrophy.Brain communications · 2026Article
- Regional cortical network atrophy predicts progression to dementia in the Lewy body diseases.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Alterations of the brain functional organization in young-onset Alzheimer's disease: Is it a matter of "time"?Journal of Alzheimer's disease : JAD · 2025Article
- Default mode network tau predicts future clinical decline in atypical early Alzheimer's disease.Brain : a journal of neurology · 2025Article
- Network-based cortical atrophy predicts longitudinal clinical decline in sporadic behavioral variant frontotemporal dementia.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- Detecting short-interval longitudinal cortical atrophy in neurodegenerative dementias via cluster scanning: A proof of concept.Imaging neuroscience (Cambridge, Mass.)Article
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Abstract
backgroundPosterior Cortical Atrophy (PCA) is a clinical syndrome characterized by progressive visuospatial and visuoperceptual impairment. As the neurodegenerative disease progresses, patients lose independent functioning due to the worsening of initial symptoms and development of symptoms in other cognitive domains. The timeline of clinical progression is variable across patients, and the field currently lacks robust methods for prognostication. Here, evaluated the utility of MRI-based cortical atrophy as a predictor of longitudinal clinical decline in a sample of PCA patients.
methodsPCA patients were recruited through the Massachusetts General Hospital Frontotemporal Disorders Unit PCA Program. All patients had cortical thickness estimates from baseline MRI scans, which were used to predict longitudinal change in clinical impairment assessed by the CDR Sum-of-Boxes (CDR-SB) score. Multivariable linear regression was used to estimate the magnitude of cortical atrophy in PCA patients relative to a group of amyloid-negative cognitively unimpaired participants. Linear mixed-effects models were used to test hypotheses about the utility of baseline cortical atrophy for predicting longitudinal clinical decline.
resultsData acquired from 34 PCA patients (mean age = 65.41 ± 7.90, 71% females) and 24 controls (mean age = 67.34 ± 4.93, 50% females) were analyzed. 62% of the PCA patients were classified as having mild cognitive impairment (CDR 0.5) at baseline, with the rest having mild dementia (CDR 1). Each patient had at least one clinical follow-up, with the mean duration of 2.78 ± 1.62 years. Relative to controls, PCA patients showed prominent baseline atrophy in the posterior cortical regions, with the largest effect size observed in the visual network of the cerebral cortex. Cortical atrophy localized to the dorsal attention network, which supports higher-order visuospatial function, selectively predicted the rate of subsequent clinical decline.
conclusionsThese results demonstrate the utility of a snapshot measure of cortical atrophy of the dorsal attention network for predicting the rate of subsequent clinical decline in PCA. If replicated, this topographically-specific MRI-based biomarker could be useful as a clinical prognostication tool that facilitates personalized care planning.
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