Dementia

MMP9 as a shared immune-related gene in Alzheimer's and Huntington's diseases: a cross-tissue transcriptomic analysis.

Alzheimer's disease (AD) and Huntington's disease (HD) share neuroinflammatory mechanisms, yet their specific immune microenvironments remain poorly understood. Integrating transcriptomic profiles of peripheral blood and frontal cortex tissues with 2,160 immune-related genes, we analysed their shared immunopathology. Differential analysis identified 64 peripheral and 159 central consistently dysre...

Causal ordinal connections based characterization of weighted effective brain network for schizophrenia detection.

The human brain is responsible for a wide range of a person's behavioral and cognitive capabilities. The functionality of the brain is affected by various disorders like schizophrenia, epilepsy, and Alzheimer. This study presents a novel framework for the automated detection of schizophrenia using EEG-based Weighted Effective Brain Connectivity Networks (WEBCNs). The proposed method introduces a n...

Alzheimer's disease with progression analysis using a novel dilated convolutional attention based long short term memory model.

Alzheimer's disease (AD) is an irreversible neurodegenerative syndrome that affects memory, cognitive abilities and behaviour. Detecting AD in the ear...

Baseline brain volumes predict cognitive decline more robustly than atrophy rates: Evidence for brain reserve.

The concept of brain reserve offers a framework for understanding the mechanisms of cognitive resilience in later life. This study investigated whethe...

Association of MRI-Visible Perivascular Spaces With Longitudinal Cognitive Decline Over a Decade.

BACKGROUND AND OBJECTIVES: Cerebral small vessel disease (SVD) is the most common vascular contributor to dementia. SVD markers often coexist, contrib...

Olfactory radiomics signatures link pTau217 to cognitive impairment in probable Alzheimer's disease: a multi-cohort machine learning study.

Leveraging routine clinical data for dementia risk prediction using machine learning.

BackgroundEarly diagnosis of dementia is essential for enabling timely interventions that may slow disease progression, improve patient outcomes, and ...

Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning.

The specific neuroanatomy of mild cognitive impairment (MCI) is obscured by its clinical heterogeneity and confounding effects from normative variatio...

Robust validation of neuroimaging and clinical models via the SAR method: A case study based on the ADNI dataset.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and substantial brain atrophy. Early and accur...

Dysfunction of the neurovascular unit as a temporal driver in Alzheimer's pathogenesis.

Extensive studies have shown that cerebrovascular dysfunction is a critical factor in the onset and progression of Alzheimer's disease (AD). Neurovasc...

Altered microbial cargo in fecal microbiome-derived outer membrane vesicles as novel biomarkers for vascular dementia.

Exploring Information Access in Aging Populations and Those With Dementia and Mild Cognitive Impairment in the United Kingdom: Survey and Focus Group Study.

BACKGROUND: With the growing aging population, technology that supports independent living is increasingly important. Web search systems are well esta...

Establishment and validation of an Alzheimer's disease diagnostic model on the basis of exhaled volatile organic compound characteristics.

Exhaled volatile organic compounds (VOCs) have been investigated in some diseases, including cognitive impairment, in pilot studies. The present study...

A framework for the exploration of subcellular compartmentalization of RNA-binding proteins.

The ability of RNA-binding proteins to form complexes with other biomolecules underpins a broad range of structural properties and functions. Understa...

The effect of robot-based interventions on depression in older adults with cognitive impairment: A systematic review and meta-analysis.

OBJECTIVE: To assess the effectiveness of robot-based interventions in improving depressive symptoms among older adults with cognitive impairment, and...

The utility of Speech and Language analytics for screening Alzheimer's Disease.

BACKGROUND: Effective screening and cohort enrichment remain major challenges in clinical trials for Alzheimer's disease (AD), where traditional diagn...

SSiamese Capsule Network (SNNCap) : Cognitive Analysis for Alzheimer's Disease Classification from MRI Data.

Alzheimer's Disease (AD) detection is essential for timely treatment and better patient care. Magnetic Resonance Imaging (MRI) is a technique in which...

Literature-derived serum miRNA signatures associated with cognitive decline in Alzheimer's disease: integrated analysis and machine learning-based diagnostic modeling.

Deciphering the molecular network of Trichostatin A in regulating Alzheimer's disease screening of core genes and mechanistic investigation based on multidimensional bioinformatics and molecular simulation.

BACKGROUND: Histone deacetylases (HDACs) regulate neuroprotection; however, Trichostatin A (TSA), an HDAC inhibitor, lacks clear molecular mechanisms ...

CDR-Net: A computerized framework to detect Alzheimer's diseases and mild cognitive impairment.

Alzheimer's disease (AD) and mild cognitive impairment (MCI) are two dementia-related brain illnesses that are prevalent among elders in the twenty-fi...