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Dataset Information

Classification algorithms using multiple MRI features in mild traumatic brain injury.


ABSTRACT:

Objective

The purpose of this study was to develop an algorithm incorporating MRI metrics to classify patients with mild traumatic brain injury (mTBI) and controls.

Methods

This was an institutional review board-approved, Health Insurance Portability and Accountability Act-compliant prospective study. We recruited patients with mTBI and healthy controls through the emergency department and general population. We acquired data on a 3.0T Siemens Trio magnet including conventional brain imaging, resting-state fMRI, diffusion-weighted imaging, and magnetic field correlation (MFC), and performed multifeature analysis using the following MRI metrics: mean kurtosis (MK) of thalamus, MFC of thalamus and frontal white matter, thalamocortical resting-state networks, and 5 regional gra

SUBMITTER: Lui YW 

PROVIDER: S-EPMC4180485 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature