ADNI

Biological versus Technical Reliability of Epigenetic Clocks and Implications for Disease Prognosis and Intervention Response

This study evaluates the technical and biological reliability of 18 epigenetic clocks and shows that technical reliability does not predict biological reliability, which is critical for clinical applications.

DARQ: Deep learning of quality control for stereotaxic registration of human brain MRI

DARQ is a deep learning method for automated quality control of stereotaxic MRI registration, achieving high accuracy comparable to manual assessment.

A generalization of partial least squares regression and correspondence analysis for categorical and mixed data: An application with the ADNI data

The paper introduces PLS-CA-R, a method that generalizes partial least squares regression to handle categorical and mixed data, and applies it to ADNI data.

Generalization of the minimum covariance determinant algorithm for categorical and mixed data types

This paper generalizes the MCD algorithm for categorical and mixed data using correspondence analysis, demonstrating its application on neuroimaging and genetics data.

Aging-related hypometabolism in the anterior cingulate cortex mediates the relationship between age vs. executive function but not vs. memory in cognitively intact elders

The paper examines the role of anterior cingulate cortex metabolism in mediating the relationship between age and executive function in cognitively intact elders using the ADNI dataset.

Altered BOLD signal variation in Alzheimer’s disease and frontotemporal dementia

This study uses CVBOLD to detect altered physiological pulsations in Alzheimer’s disease and frontotemporal dementia, finding disease-specific patterns in brain regions.

Multivariate genotypic analyses that identify specific genotypes to characterize disease and control groups in ADNI

The paper uses PLS-CA to identify specific genotypes associated with AD and control groups, revealing both known and novel genetic effects.