AIMC Topic: Cognitive Reserve

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Classification of cognitive reserve in healthy older adults based on brain activity using support vector machine.

Physiological measurement Jul 7, 2020
OBJECTIVE: Cognitive reserve (CR) refers to the capacity of the brain to actively cope with damage via the implementation of remedial cognitive processes. Traditional CR measurements focus on static proxies, which may not be able to appropriately est...
Support Vector Machine Magnetoencephalography Cognitive Reserve Brain Aged Humans
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Machine learning approaches to studying the role of cognitive reserve in conversion from mild cognitive impairment to dementia.

International journal of geriatric psychiatry Apr 15, 2019
OBJECTIVES: The overall aim of the present study was to explore the role of cognitive reserve (CR) in the conversion from mild cognitive impairment (MCI) to dementia. We used traditional and machine learning (ML) techniques to compare converter and n...
Cognitive Reserve Machine Learning Humans Male Aged Longitudinal Studies Disease Progression Female Middle Aged Aged, 80 and over Predictive Value of Tests Cognitive Dysfunction Dementia
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Towards a new classification of stable phase schizophrenia into major and simple neuro-cognitive psychosis: Results of unsupervised machine learning analysis.

Journal of evaluation in clinical practice May 23, 2018
RATIONALE: Deficit schizophrenia, as defined by the Schedule for Deficit Syndrome, may represent a distinct diagnostic class defined by neurocognitive impairments coupled with changes in IgA/IgM responses to tryptophan catabolites (TRYCATs). Adequate...
Neurocognitive Disorders Neuroimmunomodulation Quality of Life Behavioral Symptoms Humans Psychiatric Status Rating Scales Cognitive Reserve Male Female Tryptophan Middle Aged Schizophrenia Patient Acuity Adult Schizophrenic Psychology Inflammation Cytokines Psychotic Disorders Unsupervised Machine Learning
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Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers.

Scientific reports May 28, 2025
As populations age, understanding cognitive decline and age-related diseases like dementia has become increasingly important. "SuperAgers," individuals over 65 with cognitive abilities similar to those in their 40s, provide a unique perspective on co...
Female Aged Aged, 80 and over Machine Learning Humans Biomarkers Cognitive Dysfunction Male Aging Cognition Cognitive Reserve
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An Explainable-AI Based Approach Towards Measuring Cognitive Reserve.

Studies in health technology and informatics May 12, 2025
Cognitive Reserve (CR) refers to the brain's ability to compensate for brain damage or age-related changes, which can explain why some individuals show greater cognitive resilience to brain pathology despite damage or age-related changes. Understandi...
Cognitive Reserve Machine Learning Cognitive Dysfunction Humans Artificial Intelligence
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Analysis of Risk Factors in Dementia Through Machine Learning.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Sociodemographic data indicate the progressive increase in life expectancy and the prevalence of Alzheimer's disease (AD). AD is raised as one of the greatest public health problems. Its etiology is twofold: on the one hand, non-modifiabl...
Risk Factors Aged Algorithms Female Male Exercise Case-Control Studies Aged, 80 and over Sensitivity and Specificity Humans Machine Learning Alzheimer Disease Tobacco Use Neurocognitive Disorders Cognitive Reserve Socioeconomic Factors Hypertension Depression Diabetes Mellitus, Type 2
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