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Mapping of the central sulcus using non-invasive ultra-high-density brain recordings.
Schreiner, Leonhard; Jordan, Michael; Sieghartsleitner, Sebastian; Kapeller, Christoph; Pretl, Harald; Kamada, Kyousuke; Asman, Priscella; Ince, Nuri F; Miller, Kai J; Guger, Christoph.
Afiliación
  • Schreiner L; g.Tec Medical Engineering GmbH, Schiedlberg, Austria. schreiner@gtec.at.
  • Jordan M; Institute for Integrated Circuits, Johannes Kepler University, Linz, Austria. schreiner@gtec.at.
  • Sieghartsleitner S; g.Tec Medical Engineering GmbH, Schiedlberg, Austria.
  • Kapeller C; g.Tec Medical Engineering GmbH, Schiedlberg, Austria.
  • Pretl H; Institute of Computational Perception, Johannes Kepler University, Linz, Austria.
  • Kamada K; g.Tec Medical Engineering GmbH, Schiedlberg, Austria.
  • Asman P; Institute for Integrated Circuits, Johannes Kepler University, Linz, Austria.
  • Ince NF; Department of Neurosurgery, Megumino Hospital, Eniwa, Japan.
  • Miller KJ; Department of Biomedical Engineering, University of Houston, Houston, TX, USA.
  • Guger C; Department of Biomedical Engineering, University of Houston, Houston, TX, USA.
Sci Rep ; 14(1): 6527, 2024 03 19.
Article en En | MEDLINE | ID: mdl-38499709
ABSTRACT
Brain mapping is vital in understanding the brain's functional organization. Electroencephalography (EEG) is one of the most widely used brain mapping approaches, primarily because it is non-invasive, inexpensive, straightforward, and effective. Increasing the electrode density in EEG systems provides more neural information and can thereby enable more detailed and nuanced mapping procedures. Here, we show that the central sulcus can be clearly delineated using a novel ultra-high-density EEG system (uHD EEG) and somatosensory evoked potentials (SSEPs). This uHD EEG records from 256 channels with an inter-electrode distance of 8.6 mm and an electrode diameter of 5.9 mm. Reconstructed head models were generated from T1-weighted MRI scans, and electrode positions were co-registered to these models to create topographical plots of brain activity. EEG data were first analyzed with peak detection methods and then classified using unsupervised spectral clustering. Our topography plots of the spatial distribution from the SSEPs clearly delineate a division between channels above the somatosensory and motor cortex, thereby localizing the central sulcus. Individual EEG channels could be correctly classified as anterior or posterior to the central sulcus with 95.2% accuracy, which is comparable to accuracies from invasive intracranial recordings. Our findings demonstrate that uHD EEG can resolve the electrophysiological signatures of functional representation in the brain at a level previously only seen from surgically implanted electrodes. This novel approach could benefit numerous applications, including research, neurosurgical mapping, clinical monitoring, detection of conscious function, brain-computer interfacing (BCI), rehabilitation, and mental health.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Mapeo Encefálico Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Austria

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Mapeo Encefálico Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Austria
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