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An automated multi-modal neuroimaging pipeline for large-scale network modelling in TheVirtualBrain
Noah Frazier-Logue, Zheng Wang, Devin J. Sodums, Justin Wang, Anthony R. McIntosh, Kelly Shen
Presenting author:
Noah Frazier-Logue
TheVirtualBrain, an open source platform for large-scale network modelling, can be personalized to an individual using a wide range of neuroimaging modalities. The growing number and scale of neuroimaging data sharing initiatives offers an opportunity to create large and heterogeneous sets of personalized models to better understand individual differences in network dynamics. Here we present TheVirtualBrain-UKBiobank (TVB-UKBB) pipeline, a robust and automated neuroimage processing solution to address the expanding scope of TheVirtualBrain project. We leverage the existing multimodal MRI processing pipeline from the UKBiobank made for use with a variety of imaging modalities, including T1, T2 FLAIR, resting-state and task-fMRI, and diffusion MRI. We add various features to the original implementation specifically for informing large-scale network models, including user-defined parcellations for the construction of matching whole-brain functional and structural connectomes. New features also include detailed reports for quality control of all modalities and support for various publicly-available datasets. The pipeline has been tested on both healthy and clinical populations and is robust to the morphological changes observed in aging and dementia. Future additions will include M/EEG and PET processing. The TVB-UKBB pipeline provides a modular solution for high throughput multi-modal neuroimaging processing with outputs that directly interface with TheVirtualBrain.