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Electrical Source Imaging of Somatosensory Evoked Potentials from Intracranial EEG Signals

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F23%3A10467133" target="_blank" >RIV/00064203:_____/23:10467133 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11130/23:10467133 RIV/68407700:21230/23:00371334

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=LvNQBDErdd" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=LvNQBDErdd</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10548-023-00994-5" target="_blank" >10.1007/s10548-023-00994-5</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Electrical Source Imaging of Somatosensory Evoked Potentials from Intracranial EEG Signals

  • Original language description

    Stereoelectroencephalography (SEEG) records electrical brain activity with intracerebral electrodes. However, it has an inherently limited spatial coverage. Electrical source imaging (ESI) infers the position of the neural generators from the recorded electric potentials, and thus, could overcome this spatial undersampling problem. Here, we aimed to quantify the accuracy of SEEG ESI under clinical conditions. We measured the somatosensory evoked potential (SEP) in SEEG and in high-density EEG (HD-EEG) in 20 epilepsy surgery patients. To localize the source of the SEP, we employed standardized low resolution brain electromagnetic tomography (sLORETA) and equivalent current dipole (ECD) algorithms. Both sLORETA and ECD converged to similar solutions. Reflecting the large differences in the SEEG implantations, the localization error also varied in a wide range from 0.4 to 10 cm. The SEEG ESI localization error was linearly correlated with the distance from the putative neural source to the most activated contact. We show that it is possible to obtain reliable source reconstructions from SEEG under realistic clinical conditions, provided that the high signal fidelity recording contacts are sufficiently close to the source of the brain activity.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

    <a href="/en/project/GA20-21339S" target="_blank" >GA20-21339S: The dynamics of brain networks during internally and externally oriented cognitive tasks</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Brain Topography

  • ISSN

    0896-0267

  • e-ISSN

    1573-6792

  • Volume of the periodical

    36

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    19

  • Pages from-to

    835-853

  • UT code for WoS article

    001060170800001

  • EID of the result in the Scopus database

    2-s2.0-85168888934