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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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Bibliographic Details
Main Authors: Zahnert, Felix, Kräling, Gunter, Melms, Leander, Belke, Marcus, Kleinholdermann, Urs, Timmermann, Lars, Hirsch, Martin, Jansen, Andreas, Mross, Peter, Menzler, Katja, Habermehl, Lena, Knake, Susanne
Format: Article
Language:English
Published: Philipps-Universität Marburg 2022
Subjects:
structuralconnectome
language dominance
graph theory
machine learning
semantic processing
Medizin
Medical sciences Medicine
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Call Number: urn:nbn:de:hebis:04-es2024-02293
Publication Date: 2024-01-09
Source: 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: 49 (2024)
License: https://creativecommons.org/licenses/by-nc/4.0/
Access URL: https://archiv.ub.uni-marburg.de/es/2024/0229
https://doi.org/10.1002/hbm.26074

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