Dementia and Cognitive Impairment Research

The paper investigates cortical thickness correlations with verbal repetition tasks in PPA patients, supporting phonological working memory theories and revealing subtype-specific atrophy patterns.

The paper identifies CSF metabolites associated with tau levels and shows they improve prediction of Alzheimer's disease status.

The paper examines the relationship between locus coeruleus MRI contrast and cortical thickness in older and younger adults, finding a positive association in specific brain regions.

The paper estimates the time-course of pathological markers and cognitive dysfunction in Alzheimer's disease relative to Aβ-positivity, finding tau and cognitive changes occur years before significant Aβ accumulation.

The paper examines how diet and psychosocial stress affect brain anatomy in nonhuman primates, finding that Western diet increases AD-related brain regions while Mediterranean diet may protect against them.

This paper develops a deep learning framework using tau PET scans to classify Alzheimer's disease and identifies key brain regions associated with the disease.

The paper shows that early cognitive dysfunction is associated with altered perivascular space presence and distribution, linked to tau tangle deposition in Alzheimer's disease pathology.

This study examines neuropathological comorbidities in Alzheimer's disease dementia across age groups, finding that comorbidities are common even in younger-onset cases and vary with age.

The paper investigates serum lipidomic profiles in Alzheimer Disease patients with and without hearing loss, finding altered phosphatidylcholine levels associated with hearing loss.

This study identifies key self-reported features predicting conversion to Mild Cognitive Impairment using random forest and permutation-based methods in a longitudinal cohort.

The paper develops a functional ensemble survival tree framework to predict Alzheimer's disease progression using time-varying biomarkers and baseline covariates, showing good performance in simulations and ADNI data.

This paper introduces a 2D slice-based recurrent neural network for brain age prediction, achieving comparable or better performance than existing methods with fewer parameters and faster training.

The paper creates normative percentile charts for subcortical brain volumes across adulthood and examines age-by-sex interactions and associations with APOE genotype in a large UK Biobank sample.

This study finds that regular Tai Chi practice in elderly women improves memory and structural-functional integrity of the hippocampal formation compared to brisk walking.

This study shows plasma neurofilament light chain levels correlate with diffusion tensor imaging metrics in frontotemporal dementia, indicating a link between blood biomarkers and white matter degeneration.

The paper identifies two independent cognitive dimensions in Logopenic Progressive Aphasia using principal component analysis, revealing non-linguistic cognitive variability independent of language deficits.

The paper introduces a multimodal imaging approach to assess grey matter structural integrity in older adults and finds it correlates with episodic memory, particularly in men.

This study uses Mendelian randomization to assess causal relationships between 22 risk factors and the Alzheimer's phenome, finding education, blood pressure, cholesterol, smoking, and BMI have causal effects.

This paper uses a 3D CNN to predict brain age from MRI data and finds that prediction errors correlate with clinical measurements and image-derived phenotypes.

This study shows genetic risk for Alzheimer's disease affects hippocampal volume throughout life in a healthy population.

This paper describes the neuroimaging pipeline methods used in the ONDRI study to generate regional brain tissue volumes and neurovascular markers from structural MRI data.

This paper predicts Alzheimer's disease progression using a minimal recurrent neural network, showing better performance than baseline methods when handling missing data with model-based imputation.

This paper defines transdiagnostic disease categories using histopathological data and predicts cluster membership from CSF and genotype data with high accuracy.

The paper investigates if story recall of proper names is linked to beta-amyloid levels in cognitively unimpaired adults at risk for Alzheimer's disease, finding an association with delayed recall.

This study finds that higher cardiometabolic burden in older adults is associated with reduced P3b ERP amplitude during working memory tasks.

This study uses Mendelian randomization to assess if physical activity reduces Alzheimer's disease risk, finding no significant protective effect.

The paper identifies four latent atrophy factors in posterior cortical atrophy using Bayesian modeling, finding that most patients exhibit mixed profiles rather than distinct variants.

The paper investigates associations between APOE genotypes and blood biomarkers in UK Biobank, finding both expected and unexpected links to AD risk factors.

The paper develops a Bayesian longitudinal clustering framework to identify distinct AD brain atrophy patterns and their progression, revealing heterogeneity in disease progression.