ArticleJournal of Alzheimer's disease : JAD2018
Atrophy in Distributed Networks Predicts Cognition in Alzheimer's Disease and Type 2 Diabetes.
Article in Journal of Alzheimer's disease : JAD, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- A systematic review of the impact of type 2 diabetes on brain cortical thickness.Frontiers in dementia · 2024Pooled it
- Spectral power ratio as a measure of EEG changes in mild cognitive impairment due to Alzheimer's disease: a case-control study.Neurobiology of aging · 2023Article
- Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes.bioRxiv : the preprint server for biology · 2023Article
- Article
- Shen-Zhi-Ling oral liquid ameliorates cerebral glucose metabolism disorder in early AD via insulin signal transduction pathway in vivo and in vitro.Chinese medicine · 2021Article
- Higher motor cortical excitability linked to greater cognitive dysfunction in Alzheimer's disease: results from two independent cohorts.Neurobiology of aging · 2021Article
- LTP-like plasticity is impaired in amyloid-positive amnestic MCI but independent of PET-amyloid burden.Neurobiology of aging · 2020Article
- EEG spectral power abnormalities and their relationship with cognitive dysfunction in patients with Alzheimer's disease and type 2 diabetes.Neurobiology of aging · 2020Article
- Strengths and Weaknesses of the Gray Mouse Lemur (Frontiers in pharmacology · 2019Review
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundAlzheimer's disease (AD) and type 2 diabetes (T2DM) are common causes of cognitive decline among older adults and share strong epidemiological links. Distinct patterns of cortical atrophy are observed in AD and T2DM, but robust comparisons between structure-function relationships across these two disease states are lacking.
objectiveTo compare how atrophy within distributed brain networks is related to cognition across the spectrum of cognitive aging.
methodsThe relationship between structural MRI changes and cognition was studied in 22 mild-to-moderate AD, 28 T2DM, and 27 healthy participants. Cortical thickness measurements were obtained from networks of interest (NOIs) matching the limbic, default, and frontoparietal resting-state networks. Composite cognitive scores capturing domains of global cognition, memory, and executive function were created. Associations between cognitive scores and the NOIs were assessed using linear regression, with age as a covariate. Within-network General Linear Model (GLM) analysis was run in Freesurfer 6.0 to visualize differences in patterns of cortical atrophy related to cognitive function in each group. A secondary analysis examined hemispheric differences in each group.
resultsAcross all groups, cortical atrophy within the limbic NOI was significantly correlated with Global Cognition (p = 0.009) and Memory Composite (p = 0.002). Within-network GLM analysis and hemispheric analysis revealed qualitatively different patterns of atrophy contributing to cognitive dysfunction between AD and T2DM.
conclusionBrain network atrophy is related to cognitive function across AD, T2DM, and healthy participants. Differences in cortical atrophy patterns were seen between AD and T2DM, highlighting neuropathological differences.
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