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...
Furkejuvvon:
Váldodahkkit: | , , , , , , , , , , , |
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Materiálatiipa: | Artihkal |
Giella: | eaŋgalasgiella |
Almmustuhtton: |
Philipps-Universität Marburg
2022
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Liŋkkat: | PDF-ollesdeaksta |
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Interneahtta
PDF-ollesdeakstaHildobáiki: |
urn:nbn:de:hebis:04-es2024-02293 |
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Almmustuhttinbeaivi: |
2024-01-09 |
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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 |
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27 (2024) |
Lizenz: |
https://creativecommons.org/licenses/by-nc/4.0/ |
Liŋka materiálii: |
https://archiv.ub.uni-marburg.de/es/2024/0229 https://doi.org/10.1002/hbm.26074 |