Noninvasive- and invasive mapping reveals similar language network centralities - A function-based connectome
Sebastian Ille1, Haosu Zhang2, Nina Stassen3
1Department of Neurosurgery, Technical University of Munich, School of Medicine, Klinikum rechts der Isar, Munich, Germany; TUM-Neuroimaging Center, Technical University of Munich, Munich, Germany; Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany.
Summary
Navigated transcranial magnetic stimulation (nTMS) and direct cortical stimulation (DCS) provide comparable language network analysis. nTMS offers better visualization of ventral stream tracts, enhancing understanding of functional brain anatomy.
Area of Science:
- Neuroscience
- Neurosurgery
- Brain Mapping
Background:
- Direct cortical stimulation (DCS) and navigated transcranial magnetic stimulation (nTMS) comparisons have historically focused on cortical mapping.
- Differences in subcortical and network-level visualization between DCS and nTMS remain unclear.
- Network centrality metrics are crucial for assessing the importance of mapped brain regions.
Purpose of the Study:
- To compare language network analysis between DCS and nTMS.
- To investigate differences in network centrality metrics derived from both mapping techniques.
- To evaluate the utility of nTMS for tracing language-related networks, particularly ventral stream tracts.
Main Methods:
- Function-based connectome analysis was performed on 27 patients undergoing preoperative nTMS and intraoperative DCS for language mapping.
- Language-related network centralities were compared between the two mapping methods.
- Tractography consistency for the arcuate and superior longitudinal fascicles was assessed.
Main Results:
- Cortical nTMS language mapping showed a 74.1% positive predictive value compared to DCS, with good tractography consistency.
- Network centralities did not significantly differ between DCS and nTMS.
- nTMS mapping facilitated superior tracing of ventral stream tracts, highlighting its strength in mapping language networks.
Conclusions:
- Non-invasive nTMS-based network analysis is comparable to invasive DCS for identifying language networks.
- nTMS offers advantages in visualizing specific language-related tracts, improving the understanding of functional neuroanatomy.
- Decentralization in language areas can indicate language function loss.
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