AIMC Topic: Cognitive Dysfunction

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Neuropsychological tests and machine learning: identifying predictors of MCI and dementia progression.

Aging clinical and experimental research Mar 12, 2025
BACKGROUND: Early prediction of progression in dementia is of major importance for providing patients with adequate clinical care, with considerable impact on the organization of the whole healthcare system.
Dementia Neuropsychological Tests Humans Male Machine Learning Middle Aged Disease Progression Cognitive Dysfunction Female Aged Aged, 80 and over
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Develop and validate machine learning models to predict the risk of depressive symptoms in older adults with cognitive impairment.

BMC psychiatry Mar 11, 2025
BACKGROUND: Cognitive impairment and depressive symptoms are prevalent and closely interrelated mental health issues in the elderly. Traditional methods for identifying depressive symptoms in this population often lack effectiveness. Machine learning...
Cognitive Dysfunction Humans Machine Learning Nutrition Surveys Female Male Aged Middle Aged Aged, 80 and over Depression
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A comprehensive interpretable machine learning framework for mild cognitive impairment and Alzheimer's disease diagnosis.

Scientific reports Mar 11, 2025
An interpretable machine learning (ML) framework is introduced to enhance the diagnosis of Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) by ensuring robustness of the ML models' interpretations. The dataset used comprises volumetric me...
Brain Neuroimaging Humans Female Machine Learning Aged Male Aged, 80 and over Cognitive Dysfunction Magnetic Resonance Imaging Alzheimer Disease
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Dementia Overdiagnosis in Younger, Higher Educated Individuals Based on MMSE Alone: Analysis Using Deep Learning Technology.

Journal of Korean medical science Mar 10, 2025
BACKGROUND: Dementia is a multifaceted disorder that affects cognitive function, necessitating accurate diagnosis for effective management and treatment. Although the Mini-Mental State Examination (MMSE) is widely used to assess cognitive impairment,...
Male Middle Aged Deep Learning Cognitive Dysfunction Educational Status Aged Aged, 80 and over Neuropsychological Tests Medical Overuse Mental Status and Dementia Tests Dementia ROC Curve Area Under Curve Humans Female
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Development and validation of radiomics and deep transfer learning models to assess cognitive impairment in patients with cerebral small vessel disease.

Neuroscience Mar 9, 2025
Cognitive impairment in cerebral small vessel disease (CSVD) progresses subtly but carries significant clinical consequences, necessitating effective diagnostic tools. This study developed and validated predictive models for CSVD-related cognitive im...
Deep Learning Cognitive Dysfunction Magnetic Resonance Imaging Hippocampus Cerebral Small Vessel Diseases Aged Radiomics Male Middle Aged Humans Female
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Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers.

International journal of molecular sciences Mar 8, 2025
Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive ability and progression of cognitive impairment. It is often considered a transitional stage between normal aging and Alzheimer's disease (AD). This study...
Female Aged Aged, 80 and over Male Proteomics Middle Aged Humans Support Vector Machine Deep Learning Machine Learning Cognitive Dysfunction Biomarkers
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Alzheimer's disease prediction using 3D-CNNs: Intelligent processing of neuroimaging data.

SLAS technology Mar 6, 2025
Alzheimer's disease (AD) is a severe neurological illness that demolishes memory and brain functioning. This disease affects an individual's capacity to work, think, and behave. The proportion of individuals suffering from AD is rapidly increasing. I...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Neural Networks, Computer Brain Cognitive Dysfunction Neuroimaging Humans
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A comprehensive approach to anticipating the progression of mild cognitive impairment.

Brain research Mar 6, 2025
The immersive experience provided by our approach empowers researchers with an intuitive exploration of brain structures. Within the brain's central nervous system, encompassing both white and gray matter, symptoms associated with Alzheimer's disease...
Cognitive Dysfunction Humans Magnetic Resonance Imaging Brain Alzheimer Disease Disease Progression Gray Matter
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Deep learning-based classification of dementia using image representation of subcortical signals.

BMC medical informatics and decision making Mar 6, 2025
BACKGROUND: Dementia is a neurological syndrome marked by cognitive decline. Alzheimer's disease (AD) and frontotemporal dementia (FTD) are the common forms of dementia, each with distinct progression patterns. Early and accurate diagnosis of dementi...
Humans Electroencephalography Alzheimer Disease Frontotemporal Dementia Hippocampus Thalamus Amygdala Middle Aged Deep Learning Cognitive Dysfunction Dementia Female Aged Male
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Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models.

Scientific reports Feb 27, 2025
Amyotrophic lateral sclerosis (ALS) is a fatal neurological disease marked by motor deterioration and cognitive decline. Early diagnosis is challenging due to the complexity of sporadic ALS and the lack of a defined risk population. In this study, we...
Deep Learning Cognitive Dysfunction Female Amyotrophic Lateral Sclerosis Attention Humans Aged Frontotemporal Dementia Neural Networks, Computer Male Early Diagnosis Brain Middle Aged Neuroimaging
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