Neurology

Dementia

Latest AI and machine learning research in dementia for healthcare professionals.

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Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG for Alzheimer's Disease Detection

Low-cost, scalable screening for dementia remains an open problem. Imaging-based diagnosis is costly...

Low-dimensional factorized neural computations underlie risk-adaptive choices

Real-world decision-making rarely occurs with perfect information. Instead, individuals must constan...

A Comprehensive Benchmark of EEG-Based BCI Deep Learning Models for MCI and Dementia Classification

Electroencephalography (EEG) is a promising tool for automated detection of mild cognitive impairmen...

A comparison of CNN architectures for Alzheimer's disease detection in single-view MRI scans

Alzheimer's disease is a leading cause of death with no cure. Therefore, early detection is critical...

Parcel2Progression: An Anatomy-aware Longitudinal Framework for Alzheimer's Disease Diagnosis

Alzheimer's disease (AD) progression is a longitudinal process with subtle pathological cues in the ...

Predicting Cognitive Function Using Transformer-Derived Speech Representations and Longitudinal Coherence Features

Dementia affects more than 55 million people worldwide, and its progressive decline is difficult to ...

Tau reduction counteracts transcriptomic and behavioral abnormalities in an Alzheimer amyloid model

Alzheimer's disease (AD) causes amyloid formation, neuritic dystrophy, gliosis, synapse loss, behavi...

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks

Access to holistic, multimodal data improves the performance of Artificial Intelligence (AI) in medi...

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits

Causal discovery recovers directed structure from observational data and is increasingly used in cli...

Human-Centered Reflections on Care Robots: A Comparative Study of Caregiver Perspectives

Care robots are increasingly being introduced into healthcare settings, raising important questions ...

A Neurosymbolic Approach for Explainable Early Diagnosis of Alzheimer's Disease

Identifying reliable Alzheimer's disease (AD) markers typically requires manual, labor-intensive tra...

Technological Advances in Detecting and Managing Cognitive Impairment in Older Adults: Trends, Challenges, and Future Directions

As populations age, cognitive decline from mild cognitive impairment (MCI) to dementia is a defining...

Generalizability of EEG-Based Dementia Classifiers: A Multicenter study of Alzheimer, MCI, and FTD

EEG-based machine learning shows promise for neurodegenerative disease classification, but robustnes...

Fine-Grained Emotional Characterization of Dementia Caregivers in Online Support Communities Using Large Language Models

Background: Dementia caregiving carries substantial emotional and psychological consequences, but mo...

An Attention-Based Framework for Alzheimers Disease Classification Using Resting-State fMRI

Accurate identification of Alzheimers disease (AD) using resting-state functional magnetic resonance...

Edge-Based ADL Recognition Using Room-Specialized Mixture-of-Experts

Activities of daily living (ADLs) provide important indicators of functional decline in people livin...

Disentangling Acoustic Cues in Alzheimer's Pathology and Perception: The Roles of Language and Gender

Acoustic biomarkers show promise for detecting Alzheimer's Disease (AD), yet whether the cues drivin...

Stress-Testing EEG Foundation Models for Clinical Decoding: Dataset Identity and Targeted Negative Controls

Pretrained EEG foundation models are increasingly proposed for clinical decoding, but their transfer...

Validation of clinical diagnosis and machine learning classification of cognitive impairment

INTRODUCTION: Cognitive syndrome diagnosis (Normal, Mild Cognitive Impairment (MCI), Dementia) is im...

Encoding Discordance in the Alzheimer's Disease A/T/N Framework

INTRODUCTION: The biomarker-based amyloid/ tau/ neurodegeneration (A/T/N) framework has become a pop...

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