Dementia and Cognitive Impairment Research

The paper examines how precuneus activity during memory retrieval relates to future amyloid burden and cognitive outcomes in APOE4 carriers and non-carriers.

This study identifies molecular changes in white matter hyperintensities in Alzheimer's disease using transcriptomic analysis of brain regions and blood vessels.

This study examines the association between APOE genotype and cognitive resilience in SuperAgers, finding lower APOE-ε4 and higher APOE-ε2 frequencies in non-Hispanic White SuperAgers compared to controls and Alzheimer's cases.

The paper identifies ERP biomarkers distinguishing subjective cognitive decline, MCI, and healthy controls during a sustained visual attention task, showing condition-specific dynamics and task performance correlations.

This study assesses the reliability of structural brain change in cognitively healthy adults over time, finding that longer follow-up periods significantly improve reliability compared to increasing observation frequency.

This study identifies cognitive profiles and factors influencing outcomes in patients with thalamic stroke using clustering and neuroimaging analyses.

The paper uses whole genome methylation sequencing in blood samples to identify differentially methylated positions associated with cognitive status in mild cognitive impairment and Alzheimer's disease.

The paper disambiguates ongoing brain aging from baseline effects using cross-sectional data and validates findings with longitudinal data from UK Biobank.

The paper identifies key radiomic features from hippocampal and amygdala subregions in FDG-PET images to differentiate Alzheimer's Disease, MCI, and healthy controls with high accuracy.

The paper identifies subtypes of brain structural changes in aging and links them to cognitive decline and Alzheimer's disease biomarkers using MRI data.

This study shows APOE4 carriers experience faster episodic memory decline linked to amyloid duration, with a dose-dependent effect in homozygotes, but not other cognitive domains.

This study shows serotonin increases brain and hippocampal volumes and improves cognitive function in Alzheimer's disease by boosting neurotrophic factors and biomarkers linked to neurogenesis.

This study examines social cognition decline across Alzheimer's Disease stages, finding that Theory of Mind is a key link between social and nonsocial cognitive abilities, with executive functioning mediating SC impairment.

This study identifies biomarkers for predicting mild cognitive impairment conversion to Alzheimer's dementia using EEG, neuropsychological tests, and mathematical models.

This paper introduces a multimodal introspective VAE for Alzheimer's Disease normative modeling, improving reconstruction of healthy controls and outlier detection in neuroimaging data.

The paper investigates connectivity patterns in the human and monkey brain, identifying changes in fornix-related connections associated with Mild Cognitive Impairment and Alzheimer's Disease.

This study compares urinary proteomes of FTD family members without mutations to healthy controls, identifying 428 differentially expressed proteins and 146 enriched pathways, including those related to neurons and Progranulin.

This study uses unsupervised clustering on longitudinal cognitive data to identify subtypes of dementia, finding that mild dementia subtypes are more heterogeneous in progression.

The paper examines how cerebrovascular disease markers and plasma p-tau181 interact to affect brain connectivity, grey matter volume, and cognitive decline over time.

The paper links cognitive reserve to brain activity during memory formation, showing it moderates the impact of Alzheimer's pathology on cognitive performance and predicts slower decline.

This paper introduces SMAS, a Bayesian VAE-based AD score from structural MRI data, showing strong correlations with cognitive decline and brain atrophy markers, and outperforming existing measures in predicting AD.

The paper examines how resting-state brain networks modify the relationship between amyloid beta and cognitive/physical function in older adults, suggesting brain networks as a buffer against amyloid's negative effects.

This study uses [18F]-SynVesT-1 PET to analyze synaptic density in aging and Alzheimer's Disease, finding associations with amyloid-beta, tau, and cognitive performance.

This study investigates the cerebellum's role in cognitive aging using large datasets, finding that cerebellar volume is associated with better cognitive outcomes and protection against decline.

This study examines how birthweight, socioeconomic status, and adult health influence late-life brain volumes and dementia risk.

This study examines the relationship between sleep architecture and regional amyloid and tau pathology in individuals with MCI/AD and healthy controls.

The paper uses neuroanatomic volumetry and white matter hyperintensity quantification with machine learning to estimate Brain Age and discriminate cognitive status in aging cohorts.

WIMOAD integrates multi-omics data using a meta learning framework to improve Alzheimer's disease diagnosis by capturing complex patterns linked to clinical outcomes.

This study applies a multimodal lifestyle intervention in mice to improve cognition and synaptic plasticity, showing effects comparable to pharmacological interventions.

This study finds that high blood glucose levels are associated with brain hypometabolism progression, with HDL-C and APOE4 further contributing to this association.