Description
Book SynopsisGetting Started, Getting Data.- Neuroimaging Workflows in the Cloud.- Establishing a Reproducible and Sustainable Analysis Workflow.- Optimizing Your Reproducible Neuroimaging Workflow with Git.- End-to-End Processing of M/EEG Data with BIDS, HED, and EEGLAB.- Actionable Event Annotation and Analysis in fMRI: A Practical Guide to Event Handling.- Standardized Preprocessing in Neuroimaging: Enhancing Reliability and Reproducibility.- Structural MRI and Computational Anatomy.- Diffusion MRI Data Processing and Analysis: A Practical Guide with ExploreDTI.- A Pipeline for Large-Scale Assessments of Dementia EEG Connectivity Across Multicentric Settings.- Brain Predictability Toolbox.- NBS-Predict: An Easy-To-Use Toolbox for Connectome-Based Machine Learning.- Normative Modeling with the Predictive Clinical Neuroscience Toolkit (PCNtoolkit).- Studying the Connectome at a Large Scale.- Deep Learning Classification Based
