Cargando…
Using machine learning to evaluate large-scale brain networks in patients with brain tumors: Traditional and non-traditional eloquent areas
BACKGROUND: Large-scale brain networks and higher cognitive functions are frequently altered in neuro-oncology patients, but comprehensive non-invasive brain mapping is difficult to achieve in the clinical setting. The objective of our study is to evaluate traditional and non-traditional eloquent ar...
Autores principales: | Morell, Alexis A, Eichberg, Daniel G, Shah, Ashish H, Luther, Evan, Lu, Victor M, Kader, Michael, Higgins, Dominique M O, Merenzon, Martin, Patel, Nitesh V, Komotar, Ricardo J, Ivan, Michael E |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586213/ https://www.ncbi.nlm.nih.gov/pubmed/36299797 http://dx.doi.org/10.1093/noajnl/vdac142 |
Ejemplares similares
-
Safety of the utilization of telemedicine for brain tumor neurosurgery follow-up
por: Morell, Alexis A, et al.
Publicado: (2022) -
Same-day discharge after brain tumor resection: a prospective pilot study
por: Vallejo, Frederic A., et al.
Publicado: (2022) -
Oncolytic Virotherapy for High-Grade Glioma and Current Evidence and Factors to Consider for Incorporation into Clinical Practice
por: Soldozy, Sauson, et al.
Publicado: (2023) -
Tuberculoma of Eloquent Brain
por: Karthigeyan, Madhivanan, et al.
Publicado: (2021) -
Risks of postoperative paresis in motor eloquently and non-eloquently located brain metastases
por: Obermueller, Thomas, et al.
Publicado: (2014)