Computational Brain Imaging Core
Our specialized computational core, consisting of a 4-node 192 processing unit computing cluster with 450 TB storage capacity, leverages the high-performance Palmetto computing resource at Clemson University to serve the needs of researchers in the field of functional neuroimaging by offering a fast, reliable high-quality service to preprocess fMRI data for further analysis. Additionally, our Core service employs advanced state-of-the-art imaging techniques for localizing functional networks and extracting functional regions at the individual-level, allowing for individualized analyses of brain connectivity and functional topology.
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(i) 3D reconstruction of structural images
(ii) Extracting anatomical features from the data, including cortical thickness and sulcal depth for each individual
(iii) Surface and volumetric data of functional (resting-state and or task) scans
individualized mapping of functional networks and regions (including maps and data for connectivity analyses)
advanced analysis of imaging features (individualized network and region size, connectivity analysis between functional regions for each subject)
visualization of advanced analysis results
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Using our advanced analytic pipeline, we can create individualized stimulation targets based on single-subject resting state functional network parcellation. This is the most cutting edge form of individualized, precision brain therapeutic research.
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We help you design the most optimized and advanced neuroimaging techniques and approaches to help you conduct the best neuroscience research possible. Our techniques are used by researchers across the world.