Evidence map›Paper›PMID 38499709›Full record

ArticleScientific reports2024

Mapping of the central sulcus using non-invasive ultra-high-density brain recordings.

Leonhard Schreiner, Michael Jordan, Sebastian Sieghartsleitner, Christoph Kapeller, Harald Pretl, Kyousuke Kamada, Priscella Asman, Nuri F Ince, Kai J Miller, Christoph Guger

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Leonhard Schreinerg.Tec Medical Engineering GmbH, Schiedlberg, Austria. schreiner@gtec.at.
Michael Jordang.Tec Medical Engineering GmbH, Schiedlberg, Austria.
Sebastian Sieghartsleitnerg.Tec Medical Engineering GmbH, Schiedlberg, Austria.
Christoph Kapellerg.Tec Medical Engineering GmbH, Schiedlberg, Austria.
Harald PretlInstitute for Integrated Circuits, Johannes Kepler University, Linz, Austria.
Kyousuke KamadaDepartment of Neurosurgery, Megumino Hospital, Eniwa, Japan.
Priscella AsmanDepartment of Biomedical Engineering, University of Houston, Houston, TX, USA.
Nuri F InceDepartment of Biomedical Engineering, University of Houston, Houston, TX, USA.
Kai J MillerDepartment of Neurosurgery, Mayo Clinic, Rochester, USA.
Christoph Gugerg.Tec Medical Engineering GmbH, Schiedlberg, Austria.

Funding

European Commission project RHUMBO-H2020-MSCAITN-2018-813234
6 · The paper itself

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.

Indexed as

BrainBrain MappingElectrodesElectrodes, ImplantedElectroencephalographyHead

Identifiers

PMID38499709
PMCPMC10948849

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.