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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Artificial intelligence tools are being rapidly integrated into clinical environments and may soon be incorporated into dementia diagnostic paradigms.
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Population aging brings with it cognitive impairment.
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Early diagnosis of mild cognitive impairment (MCI) fascinates screening high-risk Alzheimer's disease (AD).
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Hearing loss is one of the largest modifiable risk factors for developing dementia, accounting for up to 9% of the overall modifiable risk.
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We explored the resting state functional connectivity correlates of apathy assessed as a multidimensional construct, using behavioral metrics, in behavioral variant frontotemporal dementia (bvFTD).
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When growing older, many people are faced with cognitive deterioration, which may even amount to a form of dementia at some point in time.
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Since environmental, socioeconomic, and individual risk factors contribute to dementia, we proposed a Comprehensive, Customized, Cost-effective APProach (the CCC-APP) implemented in actionable units with the focus on promoting brain health (eumentia).
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Associations were found between times spent in (i) a "weakly connected" state and lower self-reported engagement in early- and mid-life cognitive activity and higher LDL cholesterol; (ii) a "SN-negatively connected" state and higher blood pressure, higher depression score, and lower body mass index (BMI); (iii) a "strongly connected" state and higher self-reported engagement in early-life cognitive activity, Preclinical Alzheimer's cognitive composite-5 score, and BMI; and (iv) a "DMN-negatively connected" state and higher self-reported engagement in early- and mid-life stimulating activities and lower LDL cholesterol and blood pressure.
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Cognitive reserve (CR) is the ability to preserve cognitive functions in the presence of brain pathology.
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This study aimed to investigate the alterations of cognition and functional connectivity post noise, and find the progress and neural substrates of noise induced hearing loss (NIHL)-associated cognitive impairment.
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Patients suffering from neurodegenerative conditions frequently report sleep complaints, such as insomnia and excessive daytime sleepiness.
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41/100
"Brain-predicted age" quantifies apparent brain age compared to normative neuroimaging trajectories.
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Mild cognitive impairment (MCI) is a prevalent and complex condition among older adults that often progresses into Alzheimer's disease (AD).
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Alzheimer's disease (AD) and vascular dementia are two of the most prevalent dementias that afflict the aging population in the United States (US).
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41/100
Cognitively stimulating environments are thought to be protective of cognitive decline and onset of Alzheimer's disease and related dementias (ADRD) through the development of cognitive reserve (CR).
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This article provides a current review of the literature examining caffeine use in older adults.
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Short sleep duration has been linked to the development of neurocognitive disorders.
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Cognitive disorders are frequently found during late-life depression (LLD).
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The AD group performed significantly lower on the associative learning (p = 0.01) and associative memory assessments (p = 0.002), than the HC and AR groups.
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Alzheimer's disease (AD) is a progressive, multifactorial, chronic, neurodegenerative disease with high prevalence and limited therapeutic options, making it a global health crisis.
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41/100
We found that the dementia groups showed worse PM performance and altered FC within the DMN as compared to the normal aging individuals.
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Structural and functional alterations in the microcirculation by systemic hypertension can cause significant organ damage at the eye, heart, brain, and kidneys.
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The progressive aging of the population will notably increase the burden of those diseases which leads to a disabling situation, such as Alzheimer's disease (AD) and ophthalmological diseases that cause a visual impairment (VI).
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Physical Activity and Mental Health in the Elderly Abstract.
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Affective computing (also referred to as artificial emotion intelligence or emotion AI) is the study and development of systems and devices that can recognize, interpret, process, and simulate emotion or other affective phenomena.
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.
- Neuropsychological differentiation of progressive aphasic disorders
- Poor Gait Performance and Prediction of Dementia: Results From a Meta-Analysis
- Cognitive reserve proxies for individuals with intellectual developmental disability: A scoping review
- [Cognitive impairment in patients with cardiovascular risk: DECOG study]
- Resting-state fMRI in Parkinson's disease patients with cognitive impairment: A meta-analysis
- Gait and cognition: the relationship between gait stability and variability with executive function in persons with and without dementia
- Remote, self-administered, smartphone cognitive testing in a registry-based cohort: Feasibility, reliability, and validity findings
- Talking while walking: the effect of a dual task in aging and Alzheimer's disease
- Cognitive frailty: rational and definition from an (I.A.N.A./I.A.G.G.) international consensus group
- Sensory impairment and beta-amyloid deposition in the Baltimore longitudinal study of aging