Canonical Correlation Analysis of brain and behaviour

Effects of sample size/composition and analysis pipeline

Quantifying the Dynamics of Task-based Functional Connectivity (Task-dFC)

Building a normal brain aging model with MRI imaging data

Modelling the conditional quantile of the aging process

Assessing the reliability of dynamic Functional Connectivity (dFC) measurement through a comprehensive validation framework

Staging and Subtyping of Parkinson's disease progression with imaging biomarkers

ParkCore

Normative modelling for predicting neuropsychiatric symptoms in Parkinson's Disease

A simulation-based approach for evaluating replicability of Parkinson's disease neuroimaging biomarkers

Nipoppy: A framework for the reproducible organization and processing neuroimaging-clinical datasets

A Neurobagel complement project

Neurobagel

Neuro(imaging) metadata integration and search

Is between-pipeline variability affected by image quality?

A subcortical segmentation study

Machine Learning for the Cognitive Neurosciences

Facilitating neuroimaging meta-research

Incorporating Large Language Models (LLMs) into Modern Neuroscience

Reproducibility of a network atrophy biomarker for Parkinson's disease

A LivingPark paper replication

Benchmarking federated learning approaches against siloed and mega-analysis regimes

(Poppy+Bagel) x ENIGMA-PD

Data-driven approaches to cognitive and computational auditory neuroscience

Cohort creator

Creates a neuroimaging cohort by aggregating data across datasets.

Analytic Flexibility of dMRI Preprocessing and free-water corrected DTI (fwDTI) in Parkinson's Disease (PD)

Replicability of large dataset data-driven results in smaller local datasets

An example of ICA network of Parkinson disease

Continuous testing of neuroimaging results across pipelines and datasets

Application to hearing loss associations with brain structure

How to handle dataset shifts when applying machine learning to biomedical data