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Diffusion magnetic resonance imaging connectome features are predictive of functional lateralization of semantic processing in the anterior temporal lobes.
Zahnert, Felix; Kräling, Gunter; Melms, Leander; Belke, Marcus; Kleinholdermann, Urs; Timmermann, Lars; Hirsch, Martin; Jansen, Andreas; Mross, Peter; Menzler, Katja; Habermehl, Lena; Knake, Susanne.
Afiliação
  • Zahnert F; Epilepsy Center Hesse, Department for Neurology, University Hospital Marburg, Philipps University Marburg, Marburg, Germany.
  • Kräling G; Department of Medical Technology, University Hospital Marburg, Marburg, Germany.
  • Melms L; Institute for Artificial Intelligence, University Hospital Marburg, Philipps University Marburg, Marburg, Germany.
  • Belke M; Epilepsy Center Hesse, Department for Neurology, University Hospital Marburg, Philipps University Marburg, Marburg, Germany.
  • Kleinholdermann U; LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt Am Main, Germany.
  • Timmermann L; Department for Neurology, University Hospital Marburg, Philipps University Marburg, Marburg, Germany.
  • Hirsch M; Department for Neurology, University Hospital Marburg, Philipps University Marburg, Marburg, Germany.
  • Jansen A; Center for Mind, Brain and Behavior (CMBB), Philipps-University Marburg, Marburg, Germany.
  • Mross P; Core Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany.
  • Menzler K; Institute for Artificial Intelligence, University Hospital Marburg, Philipps University Marburg, Marburg, Germany.
  • Habermehl L; Center for Mind, Brain and Behavior (CMBB), Philipps-University Marburg, Marburg, Germany.
  • Knake S; Core Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany.
Hum Brain Mapp ; 44(2): 496-508, 2023 02 01.
Article em En | MEDLINE | ID: mdl-36098483
Assessment of regional language lateralization is crucial in many scenarios, but not all populations are suited for its evaluation via task-functional magnetic resonance imaging (fMRI). In this study, the utility of structural connectome features for the classification of language lateralization in the anterior temporal lobes (ATLs) was investigated. Laterality indices for semantic processing in the ATL were computed from task-fMRI in 1038 subjects from the Human Connectome Project who were labeled as stronger rightward lateralized (RL) or stronger leftward to bilaterally lateralized (LL) in a data-driven approach. Data of unrelated subjects (n = 432) were used for further analyses. Structural connectomes were generated from diffusion-MRI tractography, and graph theoretical metrics (node degree, betweenness centrality) were computed. A neural network (NN) and a random forest (RF) classifier were trained on these metrics to classify subjects as RL or LL. After classification, comparisons of network measures were conducted via permutation testing. Degree-based classifiers produced significant above-chance predictions both during cross-validation (NN: AUC-ROC[CI] = 0.68[0.64-0.73], accuracy[CI] = 68.34%[63-73.2%]; RF: AUC-ROC[CI] = 0.7[0.66-0.73], accuracy[CI] = 64.81%[60.9-68.5]) and testing (NN: AUC-ROC[CI] = 0.69[0.53-0.84], accuracy[CI] = 68.09[53.2-80.9]; RF: AUC-ROC[CI] = 0.68[0.53-0.84], accuracy[CI] = 68.09[55.3-80.9]). Comparison of network metrics revealed small effects of increased node degree within the right posterior middle temporal gyrus (pMTG) in subjects with RL, while degree was decreased in the right posterior cingulate cortex (PCC). Above-chance predictions of functional language lateralization in the ATL are possible based on diffusion-MRI connectomes alone. Increased degree within the right pMTG as a right-sided homologue of a known semantic hub, and decreased hubness of the right PCC may form a structural basis for rightward-lateralized semantic processing.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Semântica / Conectoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Semântica / Conectoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article