Charles S DeCarli

This paper develops a deep-learning method to segment neurofibrillary tangles from brain tissue images using manual annotations, achieving high accuracy and scalability.

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

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.

This study uses multimodal MRI to assess age-related changes in BBB permeability and glymphatic clearance in healthy adults, finding reduced Kw, increased FW, and decreased DTI-ALPS in older individuals.

This study examines the longitudinal relationship between epigenetic aging and cognitive aging in Hispanic/Latino adults, finding that increased age acceleration is linked to lower cognitive function and higher risk of MCI.

This study uses whole-genome sequence data from diverse participants to identify novel genetic loci associated with brain structural volumes, highlighting the importance of diverse cohorts in uncovering genetic architecture.

This study uses a total-body PET scanner to quantify tau binding and tracer kinetics in the brain using an image-derived input function and explores scan duration effects.

The paper conducts GWAS on brain volumes, identifies genetic loci, and develops polygenic scores with cross-ancestry predictive ability and causal links to neuropsychiatric disorders.

This study identifies 67 genetic loci associated with head size, finding strong overlaps with cancer pathways and genes, suggesting shared genetic mechanisms between head growth and cancer risk.

The paper investigates the relationship between gut microbiota and cerebral small vessel disease markers in the Framingham Heart Study, finding associations between specific bacterial genera and cSVD burden.

MISPEL is a supervised deep learning method for harmonizing multi-scanner neuroimaging data, outperforming existing methods in reducing scanner-related variability.

The paper examines associations between circulating angiogenesis markers and brain aging trajectories in humans, finding sex-specific effects and implications for vascular cognitive impairment.

This study identifies novel Alzheimer's disease risk loci by analyzing multi-ancestry GWAS data from diverse populations, highlighting the importance of including underrepresented groups in genetic research.

This study identifies blood-based biomarkers associated with Alzheimer's disease genetic risk variants in a large cohort of healthy adults, showing effects from early adulthood and sex-specific patterns.

The paper develops brain signatures for memory-related cognition and tests their replicability and explanatory power across two cohorts.

The paper evaluates polygenic risk scores for Alzheimer's Disease and Mild Cognitive Impairment in Hispanics/Latinos, finding that PRS based on AD GWAS predict MCI, with APOE region SNPs driving the association.

This paper develops an automated segmentation pipeline for GM/WM in brain WSIs using CNNs and post-processing, achieving high IoU scores and reducing manual effort.

This study uses an epidemic spreading model to show that tau spreads through neuronal connections in Alzheimer's disease, with beta-amyloid accelerating this process in some brain regions.

This study identifies CXCL5 as a negative regulator of myelination and repair after white matter stroke, mediated through endothelial signaling in a diet-induced obesity model.

This study compares whole hippocampus and subfield biomarkers for Alzheimer’s disease detection and prediction using multimodal MRI data, finding subiculum biomarkers improve prediction accuracy.

This study identifies genetic loci specific to periventricular and deep white matter hyperintensities, revealing distinct genetic architectures and potential biological mechanisms.

The paper examines endothelial-derived exosomes in older adults to link endothelial inflammation with white matter injury, cognition, and brain degeneration.

The paper identifies 161 genome-wide significant genetic associations for cortical structure traits across 34 brain regions, highlighting key biological pathways and gene functions.

The paper examines the heritability of regional brain volumes using genetic and neuroimaging data from multiple cohorts, finding high heritability and consistent patterns across populations.