Deep learning-based multimodality classification of chronic mild traumatic brain injury using resting-state functional MRI and PET imaging.

Authors

• Faezeh Vedaei
• Najmeh Mashhadi
• Mahdi Alizadeh
• George Zabrecky
• Daniel Monti
• Nancy Wintering
• Emily Navarreto
• Chloe Hriso
• Andrew B Newberg
• Feroze B Mohamed

Publication/Presentation Date

1-1-2023

Abstract

Mild traumatic brain injury (mTBI) is a public health concern. The present study aimed to develop an automatic classifier to distinguish between patients with chronic mTBI (

Volume

17

First Page

1333725

Last Page

1333725

ISSN

1662-4548

Published In/Presented At

Vedaei, F., Mashhadi, N., Alizadeh, M., Zabrecky, G., Monti, D., Wintering, N., Navarreto, E., Hriso, C., Newberg, A. B., & Mohamed, F. B. (2024). Deep learning-based multimodality classification of chronic mild traumatic brain injury using resting-state functional MRI and PET imaging. Frontiers in neuroscience, 17, 1333725. https://doi.org/10.3389/fnins.2023.1333725

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

38312737

Department(s)

Administration and Leadership

Document Type

Article