Dementia and Cognitive Impairment Research

Machine Learning Prediction of Incidence of Alzheimers Disease Using Large-Scale Administrative Health Data

This study uses machine learning to predict Alzheimer's disease incidence from administrative health data, achieving moderate accuracy in 1-4 year predictions.

Brain-predicted age difference score is related to specific cognitive functions: A multi-site replication analysis

The paper examines the relationship between brain-predicted age difference scores and cognitive functions using multi-site MRI data, finding significant negative correlations in several cognitive domains.

The Alzheimer’s Disease Metabolome: Effects of Sex and APOE ε4 genotype

The paper investigates sex and APOE ε4 genotype effects on metabolic alterations in Alzheimer’s disease using stratified analysis of serum metabolites.

Race modifies default mode network connectivity in Alzheimer’s disease

The paper examines differences in default mode network connectivity in Alzheimer’s disease between African Americans and Caucasians, finding race-specific patterns in functional connectivity and cognitive function.

Working Towards a Blood-Derived Gene Expression Biomarker Specific for Alzheimer’s Disease

The paper develops two gene expression classification models for Alzheimer’s Disease using blood-derived data, finding that including mixed controls improves specificity but reduces sensitivity.

Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer's disease

This study applies deep autoencoders to structural neuroimaging data from Alzheimer's and mild cognitive impairment patients to quantify deviations from healthy norms and compare performance with traditional classifiers.

Circulating glutamine and Alzheimer’s disease: a Mendelian randomization study

This study uses Mendelian randomization to find that higher circulating glutamine levels are associated with lower risk of Alzheimer’s disease.

Unsuspected involvement of spinal cord in Alzheimer Disease.

This study investigates spinal cord atrophy in Alzheimer's disease and finds it contributes to distinguishing patients from controls and explains cognitive scores.

Genome-Wide Association Study of Brain Connectivity Changes for Alzheimer's Disease

The paper conducts a GWAS to analyze changes in brain connectivity over disease progression in Alzheimer's, identifying genetic associations with structural connectivity changes.

Gallery Game: Smartphone-based Assessment of Long-Term Memory in Adults at Risk of Alzheimer’s Disease

This study evaluates a smartphone-based memory assessment, Gallery Game, in adults at risk of Alzheimer’s Disease, finding non-linear memory decline and correlation with established neuropsychological tests.

Basal forebrain volume reliably predicts the cortical spread of Alzheimer’s degeneration

This study shows that basal forebrain volume predicts cortical degeneration in Alzheimer's disease, challenging the traditional view of pathogenesis.

Serum α-Klotho levels correlate with episodic memory changes related to cardiovascular exercise in older adults

The paper examines how changes in serum α-Klotho levels relate to cognitive and neuroanatomical changes in older adults undergoing cardiovascular exercise or control interventions.

Education, intelligence and Alzheimer’s disease: Evidence from a multivariable two-sample Mendelian randomization study

This study uses Mendelian randomization to show education and intelligence both causally lower Alzheimer's disease risk, with intelligence having an independent effect.

Amyloid duration is associated with preclinical cognitive decline and tau PET

This study uses longitudinal amyloid PET data to estimate amyloid chronicity and finds it is linked to cognitive decline and tau burden in preclinical Alzheimer's disease.

Regional and hemispheric susceptibility of the temporal lobe to FTLD-TDP-43-C pathology

This study analyzes the lateralization and progression of atrophy in the anterior temporal lobe in TDP-43-C pathology, finding that right-predominant atrophy is common and that atrophy patterns are similar in left and right variants.

The Temporal Relationships between White Matter Hyperintensities, Neurodegeneration, Amyloid β, and Cognition

The paper examines the temporal relationships between white matter hyperintensities, neurodegeneration, amyloid β, and cognition using longitudinal data from Alzheimer's Disease Neuroimaging Initiative participants.

Brain Amyloid and the Transition to Dementia in Down Syndrome

The paper uses PET scans to identify brain amyloid patterns in individuals with Down syndrome that predict future dementia conversion.

White matter hyperintensities and neuropsychiatric symptoms in Alzheimer’s disease and mild cognitive impairment

Medial temporal atrophy in preclinical dementia: visual and automated assessment during six year follow-up

The paper assesses longitudinal medial temporal lobe atrophy in preclinical dementia using visual and automated methods over six years, finding that visual ratings correlate with subcortical volumes but have low inter-rater agreement.

Reliable longitudinal brain age prediction in stroke patients: Associations with cognitive function and response to cognitive training

This study tests if brain age prediction can predict cognitive outcomes and response to training in stroke patients, but finds no significant associations.

Data-driven algorithm for the diagnosis of behavioral variant frontotemporal dementia

The paper develops a random forest classifier to diagnose behavioral variant frontotemporal dementia using MRI and cognitive scores, achieving high accuracy in both training and validation cohorts.

Hand Grip Strength, Cognitive Function and the Role of Cognitive Reserve: Results from a Sample of Community Dwelling Elderly in China

This study examines the association between hand grip strength and cognitive function in elderly Chinese individuals, finding that lower grip strength is linked to poorer cognitive function, with cognitive reserve moderating this relationship.

MRI and cognitive scores complement each other to accurately predict Alzheimer’s dementia 2 to 7 years before clinical onset

The paper predicts Alzheimer’s dementia onset 2-7 years before clinical diagnosis using combined cognitive scores and MRI biomarkers from a single baseline visit.

Genome sequencing for early-onset dementia: high diagnostic yield and frequent observation of multiple contributory alleles

Genome sequencing for early-onset dementia identified genetic variants in 50% of patients, including pathogenic variants and moderate penetrance alleles, supporting an oligogenic model.

Interpretable Deep Temporal Structure Learning Model for Early Detection of Alzheimer's Disease

This paper introduces an interpretable deep learning model to detect Alzheimer's disease by analyzing longitudinal neuroimaging data from the ADNI cohort.

Genetic risk of dementia modifies the impact of obesity on limbic white matter and spatial navigation behavior in cognitively healthy adults.

Brain-age in midlife is associated with accelerated biological aging and cognitive decline in a longitudinal birth-cohort

This study shows that older brain-age in midlife is linked to accelerated biological aging and cognitive decline, supporting brain-age as a biomarker while highlighting its potential to reflect lifelong CNS variation.

PET and CSF amyloid-β status are differently predicted by patient features: Information from discordant cases

The paper finds that patient features differentially predict amyloid-β status based on PET or CSF, with variations by disease stage, suggesting PET and CSF discordance provides unique information.

Variation at the Klotho gene locus does not affect cognitive function in up to 335,074 British Caucasians in the UK Biobank.

This study investigates the association between Klotho gene variants and cognitive function in 335,074 UK Biobank participants, finding no significant effect of KL-VS haplotype on cognitive function or decline.

Scaling laws in spoken language associated with cognitive functions

The paper analyzes spoken language data from healthy elderly people to find that variations in scaling laws correlate with cognitive functions, suggesting language scaling as a potential biomarker for cognitive decline.