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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Autori principali: Zahnert, Felix, Kräling, Gunter, Melms, Leander, Belke, Marcus, Kleinholdermann, Urs, Timmermann, Lars, Hirsch, Martin, Jansen, Andreas, Mross, Peter, Menzler, Katja, Habermehl, Lena, Knake, Susanne
Natura: Articolo
Lingua:inglese
Pubblicazione: Philipps-Universität Marburg 2022
Soggetti:
graph theory
language dominance
machine learning
semantic processing
Medizin
structuralconnectome
Medical sciences Medicine
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Collocazione: urn:nbn:de:hebis:04-es2024-02293
Data di pubblicazione: 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: 23 (2024)
Lizenz: https://creativecommons.org/licenses/by-nc/4.0/
URL di accesso: https://archiv.ub.uni-marburg.de/es/2024/0229
https://doi.org/10.1002/hbm.26074

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