… age of large-scale, data-driven computational neuroscience. … pipelines on the Autism Brain
Imaging Data Exchange (… We use these 40 variations of preprocessed data with 4 types of …

… resources focused on QC of neuroimaging data, automated or not, … open-access instances
is still hardly compatible with data … , user access, data processing, and sharing, thus covering …

… evolved into the International Data Sharing Initiative (INDI), … exciting open science resource
that includes preprocessed … as part of the NIH Blueprint for Neuroscience Research (https://…

… In recent years, data sharing in neuroimaging research … MRI (rs-fMRI) and diffusion MRI
(dMRI) preprocessing routines based on … assessment of patient eligibility and not preprocessed. …

… for large raw or preprocessed datasets. DABI chooses to … and preprocessing parameters
are designed for sharing with … improve neuroscience research by encouraging data sharing …

… the same challenges and sharing interests and specialized … DWI dataset, participants
preprocessed their data using the FSL … After preprocessing of the DWI data, in-house developed …

… for a big data perspective on the neuroscience research. A series … , QC, and streamlined
preprocessing; the Holistic Atlases of … In the BRAIN initiative, it was also proposed that a deeper …

… from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) … , domain knowledge in
neuroimage preprocessing is required … , we have passed the preprocessed images over to our …

… multimodal datasets must be preprocessed and integrated to … to preprocess EEG data
acquired concurrently with fMRI, and … neuroscience studies also include large non-neuroimage …

… This Big Data revolution is opening new avenues for developing innovative treatments for …
neurology initiatives commonly use large, highly heterogeneous datasets (eg, neuroimaging, …