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Funded Project Details - FY2021




Project Number:

I01CX002035-01
Title: Diagnostic Machine Learning Algorithm to Identify MEG Features of Mild TBI and Comorbid PTSD
Principal Investigator:

Mingxiong Huang

Location: San Diego, CA
Congressional District Code: 52
Research Service: Clinical Science R&D
Project Period: January 2020 - September 2024
FY 2021 Funding Amount: $175,424
Total Award Amount
(all years):
$1,187,872
Abstract: View full abstract and other project information on NIH RePORTER
Go To NIH RePORTER


Excerpt:

Mild traumatic brain injury (mTBI) is a leading cause of sustained physical, cognitive, emotional, and behavioral deficits in OEF/OIF/OND Veterans and the general public. However, the underlying pathophysiology and recovery mechanisms, especially those associated with cognitive functioning in mTBI, are not completely understood. The neuronal mechanisms for the increased risk of PTSD after an mTBI are even less clear. Conventional MRI and CT images are generally negative even in patients with per...



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