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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Classification of MCI and HC displayed highest accuracy based on diffusion MRI, which besides demonstrated high correlation with clinical scores.
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Decades of research has established a shift from an "eveningness" preference to a "morningness" preference with increasing age.
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Compared to healthy control subjects with no cognitive deficits, altered cerebellar FC were observed in early PD participants with both motor and cognitive deficits, but not in PD patients with normal cognition, nor elderly subjects showing signs of a cognitive impairment.
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The results show evidence for increased performance in the assessment of general cognitive functioning in both EGs (p ≤ 0.05).
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TL was significantly shorter in the LLD compared with control participants (p = .039).
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This work demonstrates a mobile version of VisMET capable of estimating the presence of cognitive impairment.
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There were significant positive correlations between the predicted MMSE scores and ground truth scores in the Patient and Healthy groups (r = 0.66, p < 0.001).
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Subcortical vascular mild cognitive impairment (svMCI) is a common prodromal stage of vascular dementia.
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A growing body of evidence supports that aerobic exercise can decrease the risk of future cognitive impairment and Alzheimer's disease (AD).
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48/100
When risk factor p-values were FDR-adjusted, diastolic blood pressure was significantly associated with mean perfusion.
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Moderate/severe hearing loss was significantly associated with lower composite z score in males (β = -28.67, 95% confidence interval [95% CI] = -57.13 to -0.20) but not in females (β = -8.82, 95% CI = -36.61 to 18.96).
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Lower Aß-42 levels were associated with a reported decline in memory and language abilities, and with the following SCD-plus features: onset of subjective decline within 5 years, confirmation of cognitive decline by an informant, and decline-related worries.
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We built and validated a deep learning algorithm predicting the individual diagnosis of Alzheimer's disease (AD) and mild cognitive impairment who will convert to AD (c-MCI) based on a single cross-sectional brain structural MRI scan.
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48/100
By using fluorine 18 fluorodeoxyglucose PET of the brain, a deep learning algorithm developed for early prediction of Alzheimer disease achieved 82% specificity at 100% sensitivity, an average of 75.8 months prior to the final diagnosis. © RSNA, 2018 Online supplemental material is available for this article.
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In the field of computer-aided Alzheimer's disease (AD) diagnosis, jointly identifying brain diseases and predicting clinical scores using magnetic resonance imaging (MRI) have attracted increasing attention since these two tasks are highly correlated.
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An ERICA score of 2 or greater indicates probable AD with high diagnostic accuracy. © RSNA, 2018 Online supplemental material is available for this article.
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Alzheimer's disease is increasingly considered a large-scale network disconnection syndrome, associated with progressive aggregation of pathological proteins, cortical atrophy, and functional disconnections between brain regions.
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Synaptic dysfunction is the best anatomical correlate of early cognitive impairment in Alzheimer's disease (AD).
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Individuals with Down syndrome (DS) are more likely to experience earlier onset of multiple facets of physiological aging.
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Recently, transfer learning has been successfully applied in early diagnosis of Alzheimer's Disease (AD) based on multi-domain data.
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Language assessment has a crucial role in the clinical diagnosis of several neurodegenerative diseases.
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Postmortem brain studies of older drivers killed in car accidents indicate that many had Alzheimer disease (AD) neuropathologic changes.
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The OCS-Plus represents a major methodological advance in dementia studies in LMICs, and enhances understanding of cognitive aging.
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Participants with PD had significantly reduced sensorimotor functional connectivity, which correlated with reduced CSF levels of α-synuclein.
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48/100
Nonrigid image registration is an important, but time-consuming task in medical image analysis.
From across this topic
10 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 10. The same 10 appear here every time.
- Synucleinopathy pathology and REM sleep behavior disorder plus dementia or parkinsonism
- Cognitive executive function in Down's syndrome
- Reproducibility and replicability of high-frequency, in-home digital biomarkers in reducing sample sizes for clinical trials
- Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease
- The Locus Coeruleus: Essential for Maintaining Cognitive Function and the Aging Brain
- From Dementia to Eumentia: A New Approach to Dementia Prevention
- Racial Differences in Clinical Presentation in Individuals Diagnosed With Frontotemporal Dementia
- Age-related cognitive decline and vision impairment affecting the detection of dementia syndrome in old age
- Cardiometabolic and Vascular Disease Factors and Mild Cognitive Impairment and Dementia
- Midlife sleep characteristics and Alzheimer's disease biomarkers 20 years later