Description
Functional magnetic resonance imaging (fMRI) has significant potential in the study and treatment of neurological disorders and stroke. Region of interest (ROI) analysis in such studies allows for testing of strong a priori clinical hypotheses with improved statistical power.
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Contributors
- Garrison, Kathleen A. (Author)
- Rogalsky, Corianne (Author)
- Sheng, Tong (Author)
- Liu, Brent (Author)
- Damasio, Hanna (Author)
- Winstein, Carolee J. (Author)
- Aziz-Zadeh, Lisa S. (Author)
- College of Health Solutions (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2015-09-25
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Identifier
- Digital object identifier: 10.3389/fneur.2015.00196
- Identifier TypeInternational standard serial numberIdentifier Value1664-2295
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- View the article as published at http://journal.frontiersin.org/article/10.3389/fneur.2015.00196/full, opens in a new window
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Garrison, K. A., Rogalsky, C., Sheng, T., Liu, B., Damasio, H., Winstein, C. J., & Aziz-Zadeh, L. S. (2015). Functional MRI Preprocessing in Lesioned Brains: Manual Versus Automated Region of Interest Analysis. Frontiers in Neurology, 6. doi:10.3389/fneur.2015.00196