Dementia and Cognitive Impairment Research

Neuropathological Correlates of Apathy Progression in Alzheimer's Disease and Related Dementias: A Longitudinal NACC Cohort Study

This study examines how apathy progresses in Alzheimer's disease and related dementias, finding that FTLD and HS are consistently linked to higher apathy odds, with sex-specific differences.

Greater Amyloid Burden in Cognitive Networks in Preclinical Alzheimer's Disease

The paper examines how amyloid-beta accumulation varies across cognitive and non-cognitive brain networks in preclinical Alzheimer's disease and finds higher accumulation in cognitive networks with age and in amyloid-positive individuals.

Dissociable contributions of cortical thickness and surface area to cognitive ageing: evidence from multiple longitudinal cohorts.

This study examines how cortical thickness and surface area contribute to cognitive ageing using longitudinal data from multiple cohorts, finding thickness declines more steeply and is more strongly linked to cognitive change.

Discovering Heterogeneous Neurodegenerative Disease Patterns From MRI Data for Improved Prediction

This paper introduces a mixture-of-experts framework for identifying clinically meaningful subtypes in neurodegenerative diseases, improving prediction of progression to Alzheimer's disease.

Cognitive Vergence and Pupil Response During Oddball Task are Associated With Alzheimers Disease Cerebrospinal Fluid Neurodegenerative Biomarkers

The paper investigates associations between oculomotor responses during an oddball task and CSF biomarkers in MCI patients, finding p-Tau levels correlate with reduced cognitive vergence and pupil differentiation.

Explainable machine learning identifies candidate shared neuroanatomical features in Alzheimer's and Parkinson's via importance inversion transfer

This paper introduces an explainable machine learning framework to identify shared neuroanatomical features between Alzheimer's and Parkinson's diseases, finding ten regional volumetric anchors with high diagnostic accuracy.

Global brain activity links subcortical degeneration to cortical tau progressively across Braak regions over early Alzheimer disease stages

The paper links subcortical degeneration to cortical tau pathology in early Alzheimer's disease stages using global brain activity and ADNI cohort data.

Elucidating the neuropathological and molecular heterogeneity of amyloid-beta and tau in Alzheimer's disease through machine learning and transcriptomic integration

This study uses machine learning and transcriptomic integration to identify brain network and molecular signatures associated with amyloid-beta and tau in Alzheimer's disease.

Machine learning identifies routine blood tests as accurate predictive measures of pollution-dependent poor cognitive function

This study uses machine learning to identify routine blood tests as predictive markers of pollution-related poor cognitive function in a cohort without neurological disease.

Cortical thinning in temporal pole, a core region in Alzheimer's disease, in non-demented, middle-aged APOE-e4 and PICALM-AA/AG carriers

This study examines cortical thickness in non-demented middle-aged individuals carrying AD risk alleles APOE-ε4 and PICALM-AA/AG, finding thinner cortex in the right temporal pole compared to non-carriers.

Disrupted Forward Connectivity in Parieto-temporal Network Impairs Memory Performance in Alzheimer's Disease

The paper examines how disrupted forward connectivity in the parieto-temporal network relates to memory impairment and AD pathology using fMRI and DCM in a longitudinal study.

Predicting Alzheimer's disease phenotypes with aging clocks: an exploratory analysis

This study explores proteomic and epigenetic aging clocks as biomarkers for Alzheimer's disease phenotypes, finding proteomic clocks improve explained variance in cognitive and biomarker measures by up to 18%.

Postmortem brain MRI reveals differential associations of subcortical and limbic volumes with cortical thinning and neurodegenerative pathologies

The paper examines subcortical and limbic volume associations with cortical thinning and neurodegenerative pathologies in postmortem brain MRI data from multiple disease groups.

Bridging Language Markers and Pathology: Correlations Between Digital Speech Measures and Surrogate CSF Biomarkers in Alzheimer's Disease

This study links digital speech measures to surrogate CSF biomarkers in Alzheimer's disease, finding correlations between speech complexity and amyloid-beta, tau, and phosphorylated tau levels.

Polygenic risk scores for incident dementia in the Multi-Ethnic Study of Atherosclerosis

The paper evaluates polygenic risk scores for dementia prediction in diverse populations, finding that a model with fewer SNPs outperforms one with more SNPs in multiple ethnic groups.

Global brain maintenance predicts well-preserved cognitive function: A pooled analysis of three longitudinal population-based Swedish cohorts

This study shows that maintaining brain integrity through aging is linked to better cognitive function and slower decline, with lifestyle factors like lower cardiovascular risk and no diabetes playing a role.

Modelling cognitive outcomes in the UK Biobank: education, noradrenaline and frontoparietal networks

The paper models how education interacts with neurobiological features to influence cognitive outcomes in the UK Biobank cohort, showing that right fronto-parietal connectivity mediates this effect.

SNAP MRI Reveals Association Between Distal Cerebral Arterial Flow and Cognitive Function in an Aging Population

This study shows that SNAP MRI measurements of distal cerebral arterial flow correlate with cognitive function in aging individuals, suggesting their value in assessing cerebrovascular health.

Basal forebrain volume is associated with cortical amyloid burden in cognitively unimpaired older adults at varying genetic risk for Alzheimers disease

This study finds that nucleus basalis of Meynert (Ch4) volume is inversely associated with cortical amyloid burden in cognitively unimpaired adults at varying genetic risk for Alzheimer's disease.

Dysfunction of the episodic memory network in the Alzheimer's disease cascade

This study examines how episodic memory network dysfunction relates to AD biomarkers, neurodegeneration, and cognition using longitudinal fMRI data from the DZNE study.

Integrating Acoustic, Prosodic, and Phonological Features for Automatic Alzheimer's Detection

This paper investigates acoustic, prosodic, and phonological speech features for Alzheimer's detection, finding that combining these features improves diagnostic accuracy.

APOE4 carriers resistant to cognitive decline show unique relationships between cerebrovascular response to exercise and dual-task cognitive-balance performance

MAVeRiC-AD: Mixture-of-experts Agentic Vision-Language Ensemble for Robust MRI Classification of Alzheimer's Disease

MAVeRiC-AD improves Alzheimer's disease classification from MRI by combining multiple models with demographic data, achieving higher accuracy across different sites.

A diagnostic plasma omics-biomarker for Alzheimer's disease informed by microglial single-cell transcriptomics: A pilot study

The paper develops a blood-based diagnostic biomarker for Alzheimer's disease using microglial single-cell transcriptomics and validates it in plasma omics data.

Locus coeruleus degeneration is associated with cortical tau deposition and cognitive decline in older adults at familial risk of Alzheimer's disease

Pupil dilation as a marker of attention/effort in aging and mild cognitive impairment

The role of age in the relationship between brain structure and cognition: moderator or confound?

The paper examines how age affects the relationship between brain structure and cognition, finding that models trained on younger subjects predict cognition in older subjects better than vice versa.

Lower Hippocampal Volume Partly Mediates the Association Between rs6859 in the NECTIN2 Gene and Alzheimer's Disease: New Findings from Causal Mediation Analysis of ADNI Data

The paper uses causal mediation analysis on ADNI data to show that hippocampal volume mediates the link between NECTIN2 rs6859 polymorphism and Alzheimer's disease risk.

MACHINE LEARNING FOR MISSING DATA IMPUTATION IN ALZHEIMER'S RESEARCH: PREDICTING MEDIAL TEMPORAL LOBE FLEXIBILITY

This paper uses machine learning to impute missing data in Alzheimer's research, finding that MissForest with Random Forest improves predictions of MTL flexibility.

Deep Learning to Predict Future Cognitive Decline: A Multimodal Approach Using Brain MRI and Clinical Data

This study compares deep learning methods to predict cognitive decline using brain MRI and clinical data over two years, showing the value of integrating image and tabular data.