Literature DB >> 9772112

Scalp distribution components of brain activity evoked by visual motion stimuli.

W Skrandies1, A Jedynak, R Kleiser.   

Abstract

We analyzed the scalp distribution of electrical brain activity elicited by visual motion stimuli in 14 healthy adults. Stimuli were square-wave gratings of high or low contrast moving with a velocity of 4.9 deg/s on a computer monitor. Adaptation to motion was varied by changing the so-called duty cycle of stimulus presentation (i.e., the relation of motion to total presentation time) in order to enhance motion-related activity. Data obtained with motion stimuli were compared with checkerboard pattern reversal evoked activity. Spatial principal components analysis revealed four latent topographical components that accounted for 92.05% of the variance. Two components showed occipital extreme values surrounded by steep potential gradients while another two components displayed lateralized activity. Analysis of the contribution of these spatial components to the observed potential fields revealed significant differences between activity evoked by pattern reversal and that evoked by motion. The topographical patterns of cortical activation changed rapidly within 240 ms after motion onset. Our results confirm the sequential and parallel activation of different neuronal generators selectively sensitive to physical stimulus parameters of motion stimuli. The converging evidence of specialized quality-specific streams of sensory processing stemming from single-unit recordings in monkeys and imaging methods is supplemented by our electrophysiological results reflecting the activation of different brain areas.

Mesh:

Year:  1998        PMID: 9772112     DOI: 10.1007/s002210050491

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


  5 in total

1.  Motion adaptation: net duration matters, not continuousness.

Authors:  Sven P Heinrich; Anja M Schilling; Michael Bach
Journal:  Exp Brain Res       Date:  2005-11-18       Impact factor: 1.972

Review 2.  A primer on motion visual evoked potentials.

Authors:  Sven P Heinrich
Journal:  Doc Ophthalmol       Date:  2007-02-16       Impact factor: 2.379

3.  A novel channel selection method for optimal classification in different motor imagery BCI paradigms.

Authors:  Haijun Shan; Haojie Xu; Shanan Zhu; Bin He
Journal:  Biomed Eng Online       Date:  2015-10-21       Impact factor: 2.819

Review 4.  Brain-Computer Interface Spellers: A Review.

Authors:  Aya Rezeika; Mihaly Benda; Piotr Stawicki; Felix Gembler; Abdul Saboor; Ivan Volosyak
Journal:  Brain Sci       Date:  2018-03-30

5.  Effect of Static Posture on Online Performance of P300-Based BCIs for TV Control.

Authors:  Dojin Heo; Minju Kim; Jongsu Kim; Yun-Joo Choi; Sung-Phil Kim
Journal:  Sensors (Basel)       Date:  2021-03-24       Impact factor: 3.576

  5 in total

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