Dementia and Cognitive Impairment Research

Separable multidimensional MRI signatures of cellular and structural pathology in Alzheimer's disease

This study links multidimensional MRI signatures to histological pathology in Alzheimer's disease, showing distinct diffusion-relaxation patterns associated with specific cellular and structural changes.

Latent brain state dynamics predict early amyloid accumulation and cognitive impairment

This study uses brain state dynamics to predict early amyloid accumulation and cognitive impairment in older adults.

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

Population-specific polygenic risk for Alzheimer's disease is associated with Mini-Mental State Examination-based cognitive decline in a Japanese cohort

The paper examines the association between Alzheimer's disease polygenic risk scores and cognitive decline measured by MMSE in a Japanese cohort, finding stronger associations with scores derived from Japanese GWAS.

The 10 bits/s bottleneck as error-correcting redundancy: an information-theoretic theory of cognitive reserve

The paper proposes an information-theoretic framework for cognitive reserve, linking the gap between sensory input and behavioral output to error-correcting redundancy in channel coding theory.

Multi-omics characterization of vascular, neurodegenerative, and mixed neuropathology in the aging human brain

This study identifies molecular programs distinguishing vascular, neurodegenerative, and mixed pathology in aging human brains using proteomic and transcriptomic data.

Genome-wide cross-trait analysis of vascular dementia and Alzheimer's disease highlights novel loci and lung-brain axis

This study identifies novel genetic loci for vascular dementia and its association with lung function, and finds shared genetic risk factors with Alzheimer's disease.

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

Learning a Continuous Progression Trajectory of Amyloid in Alzheimer's disease

This study introduces SLOPE, a method to model amyloid progression in Alzheimer's disease on a continuous trajectory, showing improved sensitivity to early changes compared to global measures.

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.

AI System Using Unsupervised Learning to Discover Novel Subtypes in Alzheimer's Disease

This paper uses unsupervised machine learning to identify novel Alzheimer's disease subtypes from MRI and cognitive data, revealing a preclinical subtype with atrophy but preserved cognition.

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.

Geometric Fragility in Alzheimer's Disease: Probing the Loss of Hippocampal Hierarchical Abstraction via Contrastive Point Cloud Modeling

This study uses contrastive point cloud modeling to show that Alzheimer's disease involves a loss of hippocampal hierarchical abstraction, revealing a linear geometric degradation correlated with cognitive decline.

Neuroimaging PheWAS and molecular phenotyping implicate PSMC3 in Alzheimer's Disease

The paper links PSMC3 expression to Alzheimer's Disease through neuroimaging and genetic analyses, showing its association with brain structure changes and dementia family history.

Punctuated memory change: The temporal dynamics and brain basis of memory stability in aging

The paper identifies a subset of older adults with stable memory performance over time, linking this stability to brain structure and showing it is often transient rather than consistent.

Plasma Proteomics and Sensitive Imaging Biomarkers of Vascular Brain Injury

The paper identifies plasma proteins associated with diffusion tensor imaging biomarkers of white matter injury and suggests potential causal relationships using Mendelian randomization.

Structural Brain Indicators of Cognitive Performance in Middle and Late Adulthood: The Human Connectome Project in Aging/Aging Adult Brain Connectome Cohort

This study identifies structural brain differences associated with cognitive performance in middle and late adulthood using data from the Human Connectome Project.

Operations Near the Edge of cognitive decline: Behavioral and Neural Correlates of cognitive load in Mild cognitive impairment

This study examines cognitive strain in Mild Cognitive Impairment by analyzing behavioral and neural responses during a spatial navigation task under varying memory load.

Informational Complexity as a Neural Marker of Cognitive Reserve

The paper uses EEG and Lempel-Ziv complexity to assess cognitive reserve in elderly participants, finding a significant interaction between arousal and performance.

Large-scale Visuomotor Reaction Time Self-Testing Reveals Subtle Motor Changes in Older Adults with Subjective Cognitive Impairment

This study finds that older adults with subjective cognitive impairment show longer and more variable visuomotor reaction times, suggesting early motor deficits not captured by traditional cognitive tests.

The contribution of Apoliproprotein E genetic variation to dementia risk in British South Asians

This study assesses the association between APOE genetic variants and dementia risk in British South Asians using healthcare records and genotyping data.

Towards Multimodal Longitudinal Analysis for Predicting Cognitive Decline

This study predicts cognitive decline in Alzheimer's disease by integrating neuroimaging and clinical data, showing improved model performance with combined variables and introducing a new system for longitudinal analysis.

Stable Individual Differences Dominate Adult Brain Volume Variation Until Later Life

This study examines how brain volume differences in adults are stable from young adulthood or change with age, using MRI data from 8,311 individuals.

Your Brain Doesn't Look a Day Past 70! Cross-Sectional Associations with Brain-Predicted Age in the Cognitively-Intact Oldest-Old

The paper assesses brain-predicted age differences in cognitively-intact oldest-old adults and finds no association between brain aging and cognitive performance or health history, suggesting high cognitive reserve and survivorship effects.

Network-based amyloid-beta pathology predicts subsequent cognitive decline in cognitively normal older adults

This study uses machine learning to show that integrating brain connectome data with amyloid-beta PET imaging improves prediction of cognitive decline in older adults.

Cardiorespiratory fitness and cardiometabolic health are associated with distinct cognitive domains in cognitively healthy older adults.