ArticleJAMA network open2024
Acceleration of Brain Atrophy and Progression From Normal Cognition to Mild Cognitive Impairment.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- The study of epigenetic clocks in former professional contact sports athletes with repetitive head impacts.Journal of neurology, neurosurgery, and psychiatry · 2026Article
- Multimodal Correlates of Longitudinal Functional Decline in Behavioral Variant Frontotemporal Dementia (bvFTD).Journal of personalized medicine · 2026Article
- OpenMAP-BrainAge: generalizable and interpretable brain age predictor from MRI.Radiology advances · 2026Article
- 3D quantitative MRI for cognitive performance: T1 relaxation times of the right putamen and volumes of the left hippocampus as key biomarkers.Neuroimage. Reports · 2026Article
- Automated MRI-based brain volumetric analysis in women with polycystic ovary syndrome.BMC medical imaging · 2026Observational
- A rapid educational intervention to enhance brain MRI interpretation skills of radiology professionals for dementia diagnosis in Uganda: a pre- and post-intervention study.BMC medical education · 2026Article
- Overexpression of PGRMC2 in astrocytes improved cognitive function in a mouse model of Alzheimer's disease by modulating neuroinflammation.Journal of translational medicine · 2026Article
- CSF Levels of NPTX2 Are Associated With Less Brain Atrophy Over Time in Cognitively Unimpaired Individuals.Annals of clinical and translational neurology · 2026Article
- Oral microbiota dysbiosis related to the cortical thinning and cognitive impairment in cerebral small vessel disease.Journal of oral microbiology · 2026Article
- Modeling the age-specific incidence of mild cognitive impairment incorporating the time-varying relationship of Alzheimer's disease biomarkers over 28 years.Journal of Alzheimer's disease : JAD · 2026Article
- The 2024 NIA-AA biological definition of Alzheimer's disease: linking biomarkers to clinical practice.Frontiers in dementia · 2026Review
- Detection and Classification of Alzheimer's Disease Using Deep and Machine Learning.Tomography (Ann Arbor, Mich.) · 2025Article
- Voxel-based morphometry reveals gray matter atrophy in cerebral small vessel disease: correlation with cognitive impairment.Quantitative imaging in medicine and surgery · 2025Article
- Lightweight Deep Learning Models with Explainable AI for Early Alzheimer's Detection from Standard MRI Scans.Diagnostics (Basel, Switzerland) · 2025Article
- The relationships between cerebrospinal fluid neurofilament light chain and hippocampal atrophy with cognitive decline.Journal of Alzheimer's disease : JAD · 2025Article
- Impact of cardiometabolic conditions on the progression from mild cognitive impairment to dementia: A large cohort study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Longitudinal Changes in Brain Diffusion Characteristics Associated With Cognition and Vascular Risk Factors: The ARIC-NCS Study.Neurology · 2025Article
- Clinical information prompt-driven retinal fundus image for brain health evaluation.Military Medical Research · 2025Observational
- Change points for dynamic biomarkers in the Alzheimer's disease pathological cascade: A 30-year cohort study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Fuzzy Optimized Attention Network with Multi-Instance Deep Learning (FOAN-MIDL) for Alzheimer's Disease Diagnosis with Structural Magnetic Resonance Imaging (sMRI).Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Importance: It remains unclear which risk factors accelerate brain atrophy along with a progression from normal cognition to mild cognitive impairment (MCI). Objective: To examine risk factors associated with the acceleration of brain atrophy and progression from normal cognition to MCI based on long-term longitudinal data for middle-aged and older adults. Design, Setting, and Participants: Data for this cohort study were extracted from the Biomarkers for Older Controls at Risk for Dementia (BIOCARD) cohort, initiated at the National Institutes of Health from January 1, 1995, to December 31, 2005, and continued at Johns Hopkins University from January 1, 2015, to October 31, 2023. All participants were cognitively normal at baseline. The participants whose structural magnetic brain imaging (MRI) of the brain and cerebrospinal fluid (CSF) measures were available for over 10 years were included. Exposures: Longitudinal structural MRI of the brain and measurement of CSF biomarkers for Alzheimer disease pathology (ratio of amyloid β peptide 42 [Aβ42] to Aβ40, tau phosphorylated at threonine 181, and total tau). Main Outcomes and Measures: Annual change rates of segmental brain volumes, Kaplan-Meier survival curves plotting time to event for progression to MCI symptom onset, and hazard ratios (HRs) determined by Cox proportional hazards regression models. Results: A total of 185 participants (mean [SD] age, 55.4 [8.4] years; 116 women [63%]) were included and followed up for a maximum of 27 years (median, 20 [IQR, 18-22] years). The groups with high levels of atrophy in the white matter and enlargement in the ventricles had an earlier progression from normal cognition to MCI symptom onset (HR for white matter, 1.86 [95% CI, 1.24-2.49]; P = .001; HR for ventricles, 1.71 [95% CI, 1.19-2.24]; P = .009). Diabetes was associated with progression to MCI (HR, 1.41 [95% CI, 1.06-1.76]; P = .04), as was a low CSF Aβ42:Aβ40 ratio (HR, 1.48 [95% CI, 1.09-1.88]; P = .04), and their combination had a higher HR of 1.55 (95% CI, 1.13-1.98]; P = .03), indicating a synergic association of diabetes and amyloid pathology with MCI progression. Conclusions and Relevance: In this cohort study of middle-aged and older adults, higher rates of volume change in the white matter and ventricles, along with the presence of diabetes and a low CSF Aβ42:Aβ40 ratio, were identified as important risk factors for the progression to MCI. These results support the importance of identifying individuals who have accelerated brain atrophy to optimize preventive strategies for progression to MCI.
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