Literature DB >> 11355381

Human EEG responses to 1-100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena.

C S Herrmann1.   

Abstract

The individual properties of visual objects, like form or color, are represented in different areas in our visual cortex. In order to perceive one coherent object, its features have to be bound together. This was found to be achieved in cat and monkey brains by temporal correlation of the firing rates of neurons which code the same object. This firing rate is predominantly observed in the gamma frequency range (approx. 30-80 Hz, mainly around 40 Hz). In addition, it has been shown in humans that stimuli which flicker at gamma frequencies are processed faster by our brains than when they flicker at different frequencies. These effects could be due to neural oscillators, which preferably oscillate at certain frequencies, so-called resonance frequencies. It is also known that neurons in visual cortex respond to flickering stimuli at the frequency of the flickering light. If neural oscillators exist with resonance frequencies, they should respond more strongly to stimulation with their resonance frequency. We performed an experiment, where ten human subjects were presented flickering light at frequencies from 1 to 100 Hz in 1-Hz steps. The event-related potentials exhibited steady-state oscillations at all frequencies up to at least 90 Hz. Interestingly, the steady-state potentials exhibited clear resonance phenomena around 10, 20, 40 and 80 Hz. This could be a potential neural basis for gamma oscillations in binding experiments. The pattern of results resembles that of multiunit activity and local field potentials in cat visual cortex.

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Mesh:

Year:  2001        PMID: 11355381     DOI: 10.1007/s002210100682

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  195 in total

1.  Perceiving the tree in the woods: segregating brain responses to stimuli constituting natural scenes.

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2.  Resonance phenomena in the human auditory cortex: individual resonance frequencies of the cerebral cortex determine electrophysiological responses.

Authors:  T Zaehle; D Lenz; F W Ohl; C S Herrmann
Journal:  Exp Brain Res       Date:  2010-05-07       Impact factor: 1.972

3.  Tagging cortical networks in emotion: a topographical analysis.

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Journal:  Hum Brain Mapp       Date:  2011-09-23       Impact factor: 5.038

4.  High-speed spelling with a noninvasive brain-computer interface.

Authors:  Xiaogang Chen; Yijun Wang; Masaki Nakanishi; Xiaorong Gao; Tzyy-Ping Jung; Shangkai Gao
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-19       Impact factor: 11.205

5.  Low frequency steady-state brain responses modulate large scale functional networks in a frequency-specific means.

Authors:  Yi-Feng Wang; Zhiliang Long; Qian Cui; Feng Liu; Xiu-Juan Jing; Heng Chen; Xiao-Nan Guo; Jin H Yan; Hua-Fu Chen
Journal:  Hum Brain Mapp       Date:  2015-10-29       Impact factor: 5.038

6.  Steady-state multifocal visual evoked potential (ssmfVEP) using dartboard stimulation as a possible tool for objective visual field assessment.

Authors:  Folkert K Horn; Franziska Selle; Bettina Hohberger; Jan Kremers
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2015-11-09       Impact factor: 3.117

7.  Oscillatory recruitment of bilateral visual cortex during spatial attention to competing rhythmic inputs.

Authors:  Michael J Gray; Hans-Peter Frey; Tommy J Wilson; John J Foxe
Journal:  J Neurosci       Date:  2015-04-08       Impact factor: 6.167

8.  Human cerebral activation during steady-state visual-evoked responses.

Authors:  Maria A Pastor; Julio Artieda; Javier Arbizu; Miguel Valencia; Jose C Masdeu
Journal:  J Neurosci       Date:  2003-12-17       Impact factor: 6.167

Review 9.  Steady-state visual evoked potentials as a research tool in social affective neuroscience.

Authors:  Matthias J Wieser; Vladimir Miskovic; Andreas Keil
Journal:  Psychophysiology       Date:  2016-10-04       Impact factor: 4.016

10.  Dynamic Control of Synchronous Activity in Networks of Spiking Neurons.

Authors:  Axel Hutt; Andreas Mierau; Jérémie Lefebvre
Journal:  PLoS One       Date:  2016-09-26       Impact factor: 3.240

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