Each study has a usefulness score out of 100 (rubric version 4.0). Tap a score to see what makes it up.
Highest usefulness score first. Studies without a score come last.
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Dementia is a progressive syndrome characterized by neurodegeneration across distributed brain networks that results in cognitive, behavioral, and functional declines.
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Foundation models have driven major advancements in the language and vision domains, as seen in the popularity of Artificial Intelligence (AI) tools, and a growing number of studies are bringing the approach to human brain imaging.
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Anxiety localizes to a brain circuit resembling the AD-related atrophy network, is consistent across the AD continuum and may extend beyond AD.
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At the group level, the resting alpha abnormality in AD comprises two partly nonredundant dimensions: reduced expression and a weaker temporal link between alpha and subsequent multi-rhythm activity.
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Key Points Question Which candidate plasma proteins are associated with cognitive performance across multiple domains in older adults from the Democratic Republic of Congo?
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Alzheimer’s disease is diagnosed after a decade-long phase in which pathology accumulates; current markers show that pathology is present, but not how far it has advanced.
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Recorded PD-related mortality was lower among Black than White adults, whereas AD-related mortality showed no statistically significant racial difference.
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Alzheimer’s disease (AD) is a prevalent neurodegenerative disorder, and early diagnosis is essential for timely intervention.
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Accurate differential diagnosis between Alzheimer’s disease (AD) and frontotemporal dementia (FTD) is of critical importance for the early screening of neurodegenerative diseases.
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This nationwide study provides epidemiological data on dementia and MCI among adults aged ≥ 60 years across all 12 administrative regions of Morocco.
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A bstract In this study, we build EEG based graph model that uses frequency-resolved connectivity features, with Coherence, phase locking value (PLV) and phase lag index (PLI) in five frequency bands as multi-dimensional edge features.
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The phenotypic measures “Slope” and “dMMSE/dt” consistently showed strong performance across a range of data distributions, while “Time-to-MMSE10” was particularly effective in cohorts with a higher proportion of individuals experiencing severe cognitive decline.
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Although advances have been made in dementia symptom management, early detection during stages when interventions are most effective remains a significant challenge.
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The social, structural, and physical conditions in which individuals live, work, and age, collectively termed social determinants of health (SDOH), are associated with risk of Alzheimer's disease and related dementias (ADRD).
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Alzheimer’s Disease (AD) changes how the brain’s electrical activity behaves, and these changes can, in principle, be picked up directly from a resting-state EEG recording without any invasive testing.
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Wearable devices repeatedly measure activity, sleep, and nocturnal physiology, but their value for three-class cognitive screening remains uncertain.
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Longitudinal clinical cohorts contain heterogeneous progression patterns that are obscured by coarse diagnostic labels.
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Neuropsychiatric symptoms (NPS) are highly prevalent in Mild Cognitive Impairment (MCI), conceptualized as an intermediate clinical state between normal aging and dementia.
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Memory IIV may be more closely linked to hippocampal white matter, while mean memory performance may better reflect hippocampal volume.
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Among 1,231 patients (87.2% women; mean age 46.0 ± 13.7 years; 71.5% chronic migraine), 1,175/1,231 (95.5%) endorsed cognitive symptoms, with a mean Mig-SCog total score of 8.2 ± 4.8.
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Dynamic functional network connectivity (dFNC) commonly identifies recurring connectivity states from resting-state fMRI, but states derived independently in each dataset lack guaranteed correspondence across studies and cannot be directly estimated in new participants.
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To distinguish these cases, we trained three types of supervised 3D transformers (ViT3D, MINiT, NIT) and, as a non-collapsing alternative, a frozen self-supervised encoder (DINO), to classify people with dementia or mild cognitive impairment (MCI) versus cognitively normal (CN) individuals from 3D brain MRI, using data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI).
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16/100
We estimated associations per SD slower walking or smaller adaptability using linear, logistic, and Cox regression (10-year follow-up), overall and in women and men.
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Magnetic resonance imaging (MRI) of the brain routinely combines complementary contrasts—including T1-weighted (T1w), T2-weighted (T2w) and FLAIR sequences—to capture anatomy and pathology.
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16/100
These findings identify an anatomically specific age-related profile of the human BF, with structural vulnerability manifest and pre-diagnostic neurological disorders, which is not substantially explained by common inherited risk.
From across this topic
9 of the 1,533 studies in this topic, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 9. The same 9 appear here every time.
- Digital cognitive assessments as low-burden markers for predicting future cognitive decline and tau accumulation across the Alzheimer's spectrum
- Association Between Androgen Deprivation Therapy and Risk of Dementia
- Physiological, Histological, and Cognitive Characterization of a Rhesus Macaque Model of Presbycusis
- Hybrid Computational-Human Synthesis of the Human Connectome Project: Network Stability, Lifespan Reorganization and Biomarker Potential
- Are Empirically-Derived Subtypes of Mild Cognitive Impairment Consistent with Conventional Subtypes?
- Variations in circadian rhythms of activity, sleep, and light exposure related to dementia in nursing-home patients
- Default Mode Network Connectivity in Alzheimers Disease
- Development of a smartphone application for the objective detection of attentional deficits in delirium
- Vision impairment and cognitive decline among older adults: a systematic review