Abstract
Several studies emphasize the great potential of rhythmic light stimulation to evoke steady-state visual evoked potentials (SSVEPs) measured via electroencephalographic (EEG) recordings as a safe method to modulate brain activity. In the current study, we investigated visual event-related potentials (ERPs) and oscillatory power evoked by perceptible (above a previously estimated individual threshold) and non-perceptible (below the individual threshold) frequency-modulated rhythmic light stimulation at 10 Hz via a light-emitting diode. Furthermore, we examined the effect of overt and covert attention by asking participants to (1) directly focus on the light source (overt attention condition) and (2) indirectly attend it (covert attention condition). Our results revealed entrainment effects reflected in both ERPs and oscillatory power in the EEG even for a stimulation intensity below the individual perceptibility threshold and without directly fixating the light source. This non-invasive stimulation method shows strong potential for naturalistic non-clinical applications.
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Notes
- 1.
It was measured via the Freiburg Visual Acuity Test [10].
- 2.
Since we used a LED with a linear current-to-luminosity curve for the current range used in the experiment, we prevented additional harmonics in the signal due to the fact that the sinusoidal current variations translate into a non-sinusoidal (distorted) light intensity variation.
- 3.
Positions: Fp1, Fp2, AFz, F7, F3, Fz, F4, F8, FT9, FC5, FC1, FC2, FC6, FT10, C3, Cz, C4, T7, T8, CP5, CP1, CP2, CP6, TP10, P7, P3, Pz, P4, P8, O1, Oz, O2
- 4.
Flickering stimuli: 0.5 mA, 1 mA, 2 mA, 3 mA, 4 mA, 5 mA, 6 mA, 7 mA, 8 mA, 9 mA
- 5.
Static control stimuli: 1 mA, 3 mA, 5 mA, 7 mA
References
Herrmann, C.S.: Human EEG responses to 1-100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena. Exp. Brain Res. 137(3–4), 346–353 (2001)
Vialatte, F.-B., Maurice, M., Dauwels, J., et al.: Steady-state visually evoked potentials: focus on essential paradigms and future perspectives. Prog. Neurobiol. 90(4), 418–438 (2010)
Fan, X., Bi, L., Teng, T., et al.: A brain-computer interface-based vehicle destination selection system using P300 and SSVEP signals. IEEE Trans. Intell. Transport. Syst. 16(1), 274–283 (2015)
Notbohm, A., Herrmann, C.S.: Flicker regularity is crucial for entrainment of alpha oscillations. Front. Hum. Neurosci. 10, 503 (2016)
Notbohm, A., Kurths, J., Herrmann, C.S.: Modification of brain oscillations via rhythmic light stimulation provides evidence for entrainment but not for superposition of event-related responses. Front. Hum. Neurosci. 10, 10 (2016)
Dreyer, A.M., Herrmann, C.S.: Frequency-modulated steady-state visual evoked potentials: a new stimulation method for brain-computer interfaces. J. Neurosci. Methods 241, 1–9 (2015)
Dreyer, A.M., Herrmann, C.S., Rieger, J.W.: Tradeoff between user experience and BCI classification accuracy with frequency modulated steady-state visual evoked potentials. Front. Hum. Neurosci. 11, 391 (2017)
Lingelbach, K., Dreyer, A.M., Schöllhorn, I., et al.: Brain oscillation entrainment by perceptible and non-perceptible rhythmic light stimulation. Front. Neuroergon. 2, 9 (2021)
Ordikhani-Seyedlar, M., Sorensen, H.B.D., Kjaer, T.W., et al.: SSVEP-modulation by covert and overt attention: novel features for BCI in attention neuro-rehabilitation. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5462–5465 (2014)
Bach, M.: The Freiburg Visual Acuity test–automatic measurement of visual acuity. Optom. Vis. Sci. 73(1), 49–53 (1996)
Eisen-Enosh, A., Farah, N., Burgansky-Eliash, Z., et al.: Evaluation of critical flicker-fusion frequency measurement methods for the investigation of visual temporal resolution. Sci. Rep. 7(1), 15621 (2017)
Nunez, P.L., Srinivasan, R.: Electric Fields of the Brain. Oxford University Press, Oxford (2006)
Delorme, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 134(1), 9–21 (2004)
Chaumon, M., Bishop, D.V.M., Busch, N.A.: A practical guide to the selection of independent components of the electroencephalogram for artifact correction. J. Neurosci. Methods 250, 47–63 (2015)
Hipp, J.F., Siegel, M.: Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG. Front. Hum. Neurosci. 7, 338 (2013)
Gaume, A., Vialatte, F., Dreyfus, G.: Transient brain activity explains the spectral content of steady-state visual evoked potentials. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 688–69 (2014)
Maris, E., Oostenveld, R.: Nonparametric statistical testing of EEG- and MEG-data. J. Neurosci. Methods 164(1), 177–190 (2007)
Oostenveld, R., Fries, P., Maris, E., et al.: FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput. Intell. Neurosci. 2011, (2011)
Vukelić, M., Gharabaghi, A.: Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality. Neuroimage 111, 1–11 (2015)
Müller-Putz, G.R., Scherer, R., Brauneis, C., et al.: Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components. J. Neural Eng. 2(4), 123–130 (2005)
Polich, J.: P300 as a clinical assay: rationale, evaluation, and findings. Int. J. Psychophysiol. 38(1), 3–19 (2000)
Odom, J.V., Bach, M., Brigell, M., et al.: ISCEV standard for clinical visual evoked potentials: (2016 update). Doc. Ophthalmol. 133(1), 1–9 (2016)
Souza, G.S., Gomes, B.D., Lacerda, E.M.C.B., et al.: Amplitude of the transient visual evoked potential (tVEP) as a function of achromatic and chromatic contrast: contribution of different visual pathways. Vis. Neurosci. 25(3), 317–325 (2008)
Ellemberg, D., Hammarrenger, B., Lepore, F., et al.: Contrast dependency of VEPs as a function of spatial frequency: the parvocellular and magnocellular contributions to human VEPs. Spat. Vis. 15(1), 99–111 (2001)
Hillyard, S.A., Vogel, E.K., Luck, S.J.: Sensory gain control (amplification) as a mechanism of selective attention: electrophysiological and neuroimaging evidence. Philos. Trans. R. Soc. Lond. B Biol. Sci. 353(1373), 1257–1270 (1998)
Handy, T.C., Khoe, W.: Attention and sensory gain control: a peripheral visual process? J. Cogn. Neurosci. 17(12), 1936–1949 (2005)
Müller, M.M., Hillyard, S.: Concurrent recording of steady-state and transient event-related potentials as indices of visual-spatial selective attention. Clin. Neurophysiol. 111(9), 1544–1552 (2000)
Fong, C.Y., Law, W.H.C., Braithwaite, J.J., et al.: Differences in early and late pattern-onset visual-evoked potentials between self- reported migraineurs and controls. Neuroimage Clin. 25, (2020)
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Lingelbach, K. et al. (2021). Investigating the Modulation of Spatio-Temporal and Oscillatory Power Dynamics by Perceptible and Non-perceptible Rhythmic Light Stimulation. In: Ayaz, H., Asgher, U., Paletta, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-80285-1_2
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