Probabilistic template matching for detecting resting‐state functional MRI language network in brain tumor patients
The proposed application of probabilistic templates derived from a language tb-fMRI atlas of patients with brain tumors and probabilistic template matching methods can improve detection of rs-fMRI ICA language network in brain tumor patients.
Authors
- Vinodh A. Kumar (ORCID: https://orcid.org/0000-0002-8322-1233)
- Ho‐Ling Liu (ORCID: https://orcid.org/0000-0002-0284-5889)
- Chibawanye Ene (ORCID: https://orcid.org/0000-0002-2653-281X)
- Sherise Desiree Ferguson (ORCID: https://orcid.org/0000-0002-6344-0615)
- Max Wintermark (ORCID: https://orcid.org/0000-0002-6726-3951)
- Alexander Khalaf (ORCID: https://orcid.org/0000-0001-6366-6318)
- Sujit S. Prabhu (ORCID: https://orcid.org/0000-0002-8155-0623)
- Kyle R. Noll (ORCID: https://orcid.org/0000-0002-7105-1900)
- Jian Ming Teo (ORCID: https://orcid.org/0000-0003-3543-1719)
Institutions
- The University of Texas MD Anderson Cancer Center (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1002/mp.70138
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Cancer Institute