Vertical Topography in EEG Microstates: Physiology or Artifact Manifestation?

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F25%3A00141897" target="_blank" >RIV/00216224:14110/25:00141897 - isvavai.cz</a>
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/10.1002/hbm.70294" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/hbm.70294</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/hbm.70294" target="_blank" >10.1002/hbm.70294</a>

Result language
angličtina
Original language name
Vertical Topography in EEG Microstates: Physiology or Artifact Manifestation?
Original language description
The analysis of EEG microstates offers a valuable approach for investigating large-scale brain networks and dynamics. Beyond the commonly reported "canonical microstates," prior literature has identified another distinct topography: the vertical topography (VT). This VT is characterized by a prominent straight line dividing positive and negative values, extending from the nasion to the inion. Notably, our own simultaneous EEG/fMRI and shielded cabin EEG data, collected from 77 participants, also revealed the presence of this topography. Based on our subsequent analyses of both human and phantom data, we conclude that VT partly represents artifacts arising from unspecified movements of the EEG cap and its metallic components. This conclusion is strongly supported by our evaluation of VT's spatiotemporal characteristics, derived from EEG recorded under diverse conditions. Specifically, we found a significant correlation between framewise displacement (obtained from human EEG/fMRI) and VT's temporal characteristics. Therefore, we advocate for a prudent interpretation of VT when it appears in data. Its mere existence as a resulting topography can impact the spatiotemporal parameters of other microstates and even distort the shapes of the other topographies.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30210 - Clinical neurology

Project
<a href="/en/project/NU21-04-00254" target="_blank" >NU21-04-00254: Detection of seizure onset zone in multi-lesional epilepsies using multimodal imaging methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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