Diffusion magnetic resonance imaging connectome featuresare predictive of functional lateralization of semanticprocessing in the anterior temporal lobes

Diffusion magnetic resonance imaging connectome featuresare predictive of functional lateralization of semanticprocessing in the anterior temporal lobes

Assessment of regional language lateralization is crucial in many scenarios, but not allpopulations are suited for its evaluation via task-functional magnetic resonance imag-ing (fMRI). In this study, the utility of structural connectome features for the classifi-cation of language lateralization in...

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Detalhes bibliográficos
Autoren: Zahnert, Felix, Kräling, Gunter, Melms, Leander, Belke, Marcus, Kleinholdermann, Urs, Timmermann, Lars, Hirsch, Martin, Jansen, Andreas, Mross, Peter, Menzler, Katja, Habermehl, Lena, Knake, Susanne
Formato: Artigo
Idioma:inglês
Publicado em: Philipps-Universität Marburg 2022
Assuntos:
graph theory
language dominance
machine learning
semantic processing
Medizin
structuralconnectome
Medical sciences Medicine
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Área/Cota: urn:nbn:de:hebis:04-es2024-02293
Publikationsdatum: 2024-01-09
Fonte: Erstveröffentlichung: Zahnert, F., Kräling, G., Melms, L., Belke, M., Kleinholdermann, U., Timmermann, L., Hirsch, M., Jansen, A., Mross, P., Menzler, K., Habermehl, L., & Knake, S. (2023). Diffusion magnetic resonance imaging connectome features are predictive of functional lateralization of semantic processing in the anterior temporal lobes. Human Brain Mapping, 44(2), 496–508. https://doi.org/10.1002/hbm.26074
Downloads: 27 (2024)
Lizenz: https://creativecommons.org/licenses/by-nc/4.0/
Zugangs-URL: https://archiv.ub.uni-marburg.de/es/2024/0229
https://doi.org/10.1002/hbm.26074

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