An automated method for identifying an independent component analysis-based language-related resting-state network in brain tumor subjects for surgical planning

As a noninvasive and “task-free” technique, resting-state functional magnetic resonance imaging (rs-fMRI) has been gradually applied to pre-surgical functional mapping. Independent component analysis (ICA)-based mapping has shown advantage, as no a priori information is required. We developed an aut...

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Detalles Bibliográficos
Autores principales: Lu, Junfeng, Zhang, Han, Hameed, N. U. Farrukh, Zhang, Jie, Yuan, Shiwen, Qiu, Tianming, Shen, Dinggang, Wu, Jinsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653800/
https://www.ncbi.nlm.nih.gov/pubmed/29062010
http://dx.doi.org/10.1038/s41598-017-14248-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653800/
https://www.ncbi.nlm.nih.gov/pubmed/29062010
http://dx.doi.org/10.1038/s41598-017-14248-5

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