Philosophy:Steady state visually evoked potential
In neurology and neuroscience research, steady state visually evoked potentials (SSVEPs) are signals that are natural responses to visual stimulation at specific frequencies. When the retina is excited by a visual stimulus ranging from 3.5 Hz to 75 Hz,[1] the brain generates electrical activity at the same (or multiples of) frequency of the visual stimulus. SSVEPs are typically measured using electroencephalography. SSVEPs are useful in research because of the excellent signal-to-noise ratio[2] and relative immunity to artifacts.[3] SSVEPs also provide a means to characterize preferred frequencies of neocortical dynamic processes. SSVEPs are generated by stationary localized sources and distributed sources that exhibit characteristics of wave phenomena.
SSVEPs have been widely used in vision, cognitive neuroscience (e.g., visual attention, binocular rivalry, working memory, alpha range), and clinical neuroscience (e.g., aging and neurodegenerative disorders, schizophrenia, epilepsy) research.[4][5][6] They are also used for brain-computer-interfaces.[7]
See also
References
- ↑ "User adaptive BCIs: SSVEP and P300 based interfaces". PsychNol. J. 1: 331–54. 2003.
- ↑ D. Regan, Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine, Elsevier, New York, NY, USA, 1989.
- ↑ K. E. Misulis, Spehlmann's Evoked Potential Primer, Butterworth-Heinemann, Boston, Mass, USA, 1994.
- ↑ Norcia, Anthony M.; Appelbaum, L. Gregory; Ales, Justin M.; Cottereau, Benoit R.; Rossion, Bruno (2015-05-05). "The steady-state visual evoked potential in vision research: A review" (in en). Journal of Vision 15 (6): 4. doi:10.1167/15.6.4. ISSN 1534-7362. PMID 26024451.
- ↑ Kritzman, Lior; Eidelman-Rothman, Moran; Keil, Andreas; Freche, Dominik; Sheppes, Gal; Levit-Binnun, Nava (2022-03-23). "Steady-state visual evoked potentials differentiate between internally and externally directed attention" (in en). NeuroImage 254: 119133. doi:10.1016/j.neuroimage.2022.119133. PMID 35339684.
- ↑ Vialatte, François-Benoît; Maurice, Monique; Dauwels, Justin; Cichocki, Andrzej (2010). "Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives" (in en). Progress in Neurobiology 90 (4): 418–438. doi:10.1016/j.pneurobio.2009.11.005. PMID 19963032. https://linkinghub.elsevier.com/retrieve/pii/S0301008209001853.
- ↑ Yijun Wang; Xiaorong Gao; Bo Hong; Chuan Jia; Shangkai Gao (2008). "Brain-Computer Interfaces Based on Visual Evoked Potentials". IEEE Engineering in Medicine and Biology Magazine 27 (5): 64–71. doi:10.1109/MEMB.2008.923958. ISSN 0739-5175. PMID 18799392. https://ieeexplore.ieee.org/document/4625401.
Sources
- "Attentional modulation of SSVEP power depends on the network tagged by the flicker frequency". Cereb. Cortex 16 (7): 1016–29. 2006. doi:10.1093/cercor/bhj044. PMID 16221931.
- Norton, James J. S.; Umunna, Stephen; Bretl, Timothy (2017). "The elicitation of steady-state visual evoked potentials during sleep". Psychophysiology 54 (4): 496–507. doi:10.1111/psyp.12807. ISSN 0048-5772. PMID 28098351.
- Sharon O; Nir Y (2017). "Attenuated Fast Steady-State Visual Evoked Potentials During Human Sleep". Cereb. Cortex 1-15 (4): 1297–1311. doi:10.1093/cercor/bhx043. PMID 28334175.
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