Alzheimer's Disease

Concussion pathophysiology: From biomechanical insult to clinical phenotype - or is injury truly the beginning?

Mild traumatic brain injury (mTBI) is associated with substantial morbidity worldwide. Emerging evidence demonstrates that both impact- and blast-related mTBI produce diffuse microstructural and functional alterations, e.g., diffuse axonal injury, astroglial and microglial activation, cerebrovascular dysfunction, and neurometabolic disturbance. Rotational acceleration in impact injury preferential...

Mitochondrial dysfunction and programmed cell death in Alzheimer's disease: A retrospective bioinformatics study.

Alzheimer's disease (AD) is a major cause of dementia, and this paper explores the unclear roles of mitochondrial dysfunction and programmed cell death in AD. Differentially expressed genes (DEGs) were identified using AD datasets GSE63061 and GSE63060 from the Gene Expression Omnibus. DEGs were intersected with mitochondria-related genes and programmed cell death-related genes to obtain DEGs (in ...

Corrigendum to: A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis.

In the originally published article entitled "A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis", published in "Curr...

5-Hydroxymethylcytosine profiles in circulating cell-free DNA serve as potential biomarkers for diagnosis and classification of adenomyosis.

BACKGROUND: Adenomyosis diagnosis and classification relies primarily on magnetic resonance imaging or pathological examination. Liquid biopsy has bee...

Integrating NMR Restraints into Coarse-Grained Simulations: Toward Accurate Conformational Ensembles of Complex Protein Systems.

Structural dynamics play critical roles for the biological activity of protein molecules. Characterizing the inherent conformational landscapes of the...

Early cognitive screening for individuals on the dementia continuum: A novel approach amid current trends.

Mild cognitive impairment (MCI) is a critical transitional stage between normal aging and dementia that remains challenging to detect. Many traditiona...

Financial Burden in Adults With Chronic Illness in Switzerland: A Secondary Analysis of Qualitative Interviews Using Natural Language Processing and Topic Modeling.

BACKGROUND: Chronic illness may cause a financial burden that affects patients, their caregivers, and families. While international research, mostly f...

Explainable artificial intelligence for early Alzheimer's diagnosis using enhanced grey relational features and multimodal data.

Alzheimer's disease, a progressive neurodegenerative disorder, presents a growing global health challenge due to its increasing prevalence and lack of...

Deep survival modelling to predict future cognitive impairment in unimpaired adults.

BACKGROUND: Predicting Alzheimer's disease (AD)-related cognitive impairment (CI) among cognitively normal (CN) adults enables meaningful disease modi...

[Magnetic resonance imaging in dementia].

Magnetic resonance imaging (MRI) plays a pivotal role in the diagnostic work-up of dementia. In addition to excluding secondary and potentially treata...

Claustrum and Hippocampus Segmentation-Based Alzheimer's Disease Identification Model Using RoT-Kmeans and CoLU-CNN.

Alzheimer's disease (AD) is a dementia disease that causes loss of cognitive functions. Also, it is a noncurable disease. However, early diagnosis and...

Salivary metabolomics for early detection of vascular contributions to cognitive impairment and dementia: Exploring microbiome dysbiosis and sex differences.

BackgroundVascular factors contribute to dementia in approximately 20 million individuals, notably in vascular contributions to cognitive impairment a...

Gait and movement analysis for discrimination between people with dementia and healthy control persons based on pose estimation and machine learning.

BackgroundDementia disorders are affecting millions of people globally, characterized by memory loss, communication difficulties, and motor function d...

Robotic Pets in Hospitals: Fostering Connection.

Acute care hospitals often fail to meet the relational needs of older adults with dementia, for whom many environmental stressors can exacerbate behav...

Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism.

OBJECTIVE: Pre-mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co-pathologies. This st...

Autophagy-exosome crosstalk in neurodegeneration: Mechanisms and therapeutic opportunities.

Neurodegenerative diseases (NDs), including Alzheimer's, Parkinson's, Huntington's, amyotrophic lateral sclerosis, and multiple sclerosis, share a com...

Estimating cognitive function score from mild cognitive impairment to moderate dementia using a hybrid model combining plasma biomarkers with electroencephalogram signal.

BackgroundPredicting cognitive function across dementia stages remains challenging. Plasma biomarkers and electroencephalogram (EEG) features may prov...

Integrated network toxicology and computational profiling of acetyl tributyl citrate-related mechanisms in Alzheimer's disease.

BackgroundAcetyl tributyl citrate (ATBC), an eco-friendly plasticizer, exhibits poorly characterized neurotoxic effects.ObjectiveWe integrated network...

Causal Discovery in Observational Medical Research: Scoping Review.

BACKGROUND: Observational data are fundamental to medical research but present formidable challenges for causal inference. Machine learning-based caus...

Predictive modeling for early diagnosis of dementia using sequential data analysis and data mining.

Dementia, a progressively debilitating neurodegenerative disorder, poses a growing challenge to global healthcare due to its subtle early onset and la...