Dementia and Cognitive Impairment Research

This study finds plasma pTau-217 correlates with cognition and brain atrophy in cognitively healthy older adults and strongly correlates with its CSF counterpart.

This study shows that lower periventricular diffusivity is linked to higher amyloid-beta burden and cognitive decline, especially in APOE4 carriers.

This study identifies lifestyle factors associated with preserved hippocampal microstructure in younger adults, which correlates with better executive function but not memory.

This study examines how FTLD and AD differentially affect cognitive mechanisms underlying creative idea generation, finding distinct patterns in semantic retrieval, memory, and context-dependent creativity.

This study examines the relationship between telomere length and cognitive function in underrepresented middle-aged and older adults, finding preliminary evidence of an independent association with chronological age.

This study shows that brain-age gaps from EEG spectral power in neurological populations do not reflect accelerated aging, challenging the use of EEG as a biomarker for neurodegeneration.

This paper uses Mendelian randomization to assess if existing drugs targeting lipid-lowering, anti-hypertensive, or anti-inflammatory pathways affect vascular dementia risk, finding potential benefits for beta-1 adrenergic receptor antagonists and risks for ACE inhibitors.

This paper applies a spherical harmonics-based deep learning model to MRI-derived brain shape metrics to predict age, sex, and Alzheimer's disease diagnosis, showing strong performance in classification and regression tasks.

The paper improves cognitive decline prediction by integrating multi-threshold polygenic scores into hippocampal-based normative models using UK Biobank data.

This study uses multimodal normative modeling on ATN biomarkers to analyze Alzheimer Disease heterogeneity, finding greater intra-group variation in more severe stages and a correlation between disease severity index and cognitive decline.

This study examines sex differences in clinical progression of autosomal dominant frontotemporal dementia, finding females show more rapid declines in symptomatic stages and less sensitive NfL prognostic value.

CSF YWHAG:NPTX2 synapse protein ratio, from proteomics of 3,416 individuals across six cohorts, explains cognitive impairment beyond amyloid and tau and predicts decline (hazard ratio 15.4).

The paper uses qEEG features from sleep stages to predict CSF oxidative biomarkers in early Alzheimer's disease with high accuracy.

This study investigates the relationship between brain atrophy and memory decline in aging using longitudinal data, finding a nonlinear association that intensifies with age and is influenced by APOE ε4 carriership.

This study uses high-order ICA on PET scans to identify amyloid-beta networks in Alzheimer's Disease, revealing distinct gray and white matter patterns associated with cognitive impairment.

This study translates post-mortem brain multi-omics AD dementia subtypes into blood, MRI, and psychological markers in living individuals.

This study uses machine learning to diagnose Alzheimer's Disease by analyzing biomarkers and clinical features, finding high accuracy with KNN, SVM, RF, and DT models.

This paper introduces the parsimonious event-based model (P-EBM) to infer disease progression sequences with fewer stages than biomarkers, showing improved performance in Alzheimer's disease analysis.

The paper investigates the association between Alzheimer's disease SNPs and hippocampal sclerosis of aging using MRI surrogates in a cohort of non-demented individuals.

The paper examines sex-specific and APOE4-related associations between cardiometabolic risk factors and white matter microstructure in individuals with a family history of Alzheimer's disease.

The paper examines EEG and fMRI data from middle-aged individuals with APOE/PICALM risk alleles to identify early Alzheimer's disease-like features before symptom onset.

This study examines how APOE and TREM2 variants influence plasma levels of GFAP and NEFL in UK Biobank participants, finding age-dependent effects and associations with dementia risk.

The paper examines associations between three multi-omic AD subtypes and four psychological traits, finding differential links between subtypes and traits.

This study benchmarks machine learning models for classifying PPA subtypes from speech, finding that traditional classifiers with embeddings are competitive with transformer-based models.

This study examines the association between hematocrit levels and dementia risk in a multiethnic cohort, finding that lower hematocrit is linked to increased dementia risk, with no mediation by cerebral small vessel disease.

This study examines how plasma p-tau181 levels relate to hippocampal subfield volumes and cognitive function across Alzheimer's disease stages, finding specific associations with CA1 and dentate gyrus volumes.

The paper investigates how amyloid-beta accumulation in specific brain regions relates to memory deficits in preclinical Alzheimer's disease, finding a selective impact on temporal memory.