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Quantitative Biology > Neurons and Cognition

arXiv:1111.2660 (q-bio)
[Submitted on 11 Nov 2011]

Title:Magnetic Resonance Connectome Automated Pipeline

Authors:William R. Gray, John A. Bogovic, Joshua T. Vogelstein, Bennett A. Landman, Jerry L. Prince, R. Jacob Vogelstein
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Abstract:This manuscript presents a novel, tightly integrated pipeline for estimating a connectome, which is a comprehensive description of the neural circuits in the brain. The pipeline utilizes magnetic resonance imaging (MRI) data to produce a high-level estimate of the structural connectivity in the human brain. The Magnetic Resonance Connectome Automated Pipeline (MRCAP) is efficient and its modular construction allows researchers to modify algorithms to meet their specific requirements. The pipeline has been validated and over 200 connectomes have been processed and analyzed to date.
This tool enables the prediction and assessment of various cognitive covariates, and this research is applicable to a variety of domains and applications. MRCAP will enable MR connectomes to be rapidly generated to ultimately help spur discoveries about the structure and function of the human brain.
Comments: 5 pages
Subjects: Neurons and Cognition (q-bio.NC); Medical Physics (physics.med-ph)
Cite as: arXiv:1111.2660 [q-bio.NC]
  (or arXiv:1111.2660v1 [q-bio.NC] for this version)
  https://doi.org/10.48550/arXiv.1111.2660

Submission history

From: William Gray [view email]
[v1] Fri, 11 Nov 2011 04:28:28 UTC (4,406 KB)
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