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@ARTICLE{Hainke:281124,
author = {Hainke, Laura and Spitschan, Manuel and Priller, Josef and
Taylor, Paul and Dowsett, James},
title = {40 {H}z steady-state visually evoked potentials recovered
during oscillating transcranial electrical stimulation.},
journal = {Biomedical physics $\&$ engineering express},
volume = {11},
number = {5},
issn = {2057-1976},
address = {Bristol},
publisher = {IOP Publ.},
reportid = {DZNE-2025-01083},
pages = {055031},
year = {2025},
abstract = {Background. Combining Transcranial Electrical Stimulation
and Visual Stimulation at the gamma frequency of 40 Hz holds
scientific and clinical potential, but requires concurrent
electrophysiological measurement to quantify neuronal
effects. This poses substantial methodological challenges:
electrical stimulation artifacts largely overshadow EEG
signals; gamma signals' amplitude is particularly low; and
oculo-muscular confounds overlap in frequency. With
appropriate artifact removal, we aimed to record 40 Hz
Steady-State Visually Evoked Potentials (SSVEPs) with EEG
during frequency-matched electrical stimulation and explore
possible interactions.Methods. In three experiments (N = 25
healthy volunteers each), we tested if electrical and visual
stimulation might interact depending on which brain areas
are electrically stimulated or whether the respective
frequencies match-and, importantly, how effectively the data
processing pipeline can separate artifacts from genuine
neuronal activity. Analysing SSVEPs in the time domain, as
opposed to the traditional frequency domain, enabled us to
mitigate electrical artifacts flexibly through an adaptive
template subtraction approach with millisecond precision. It
also allowed us to extract SSVEP waveform information, in
addition to amplitude. Compared to previous approaches for
low frequencies, our algorithm has improved artifact
template fitting, a new interpolation feature, and refined
segment rejection criteria.Main Results. We successfully
recovered 40 Hz SSVEPs during frequency-matched electrical
stimulation applied to central and occipital regions. They
closely matched baseline SSVEPs without electrical
stimulation in waveform shape. A control condition (no
visual stimulation, only electrical) produced uncorrelated
low-amplitude signals, further demonstrating robust artifact
removal. No interactions between electrical and visual
stimulation were found.Significance. We demonstrated how 40
Hz SSVEPs can be reliably measured with EEG during
frequency-matched electrical brain stimulation,
distinguishing neuronal activity from electrical or
physiological confounds. This method now enables fundamental
and clinical researchers to combine rhythmic sensory and
electrical stimulation in the gamma band and concurrently
quantify neuronal electrophysiological effects.},
keywords = {Humans / Evoked Potentials, Visual: physiology / Male /
Female / Adult / Transcranial Direct Current Stimulation:
methods / Electroencephalography: methods / Artifacts /
Algorithms / Photic Stimulation / Young Adult / Electric
Stimulation / Signal Processing, Computer-Assisted /
electroencephalography (EEG) (Other) / flicker (Other) /
gamma (Other) / multimodal (Other) / non-invasive brain
stimulation (Other) / steady-state visually evoked potential
(SSVEP) (Other) / transcranial electrical stimulation
(Other)},
cin = {AG Priller},
ddc = {610},
cid = {I:(DE-2719)5000007},
pnm = {353 - Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:40840482},
doi = {10.1088/2057-1976/adfdea},
url = {https://pub.dzne.de/record/281124},
}