論文

査読有り
2006年4月

Estimation of the timing of human visual perception from magnetoencephalography

JOURNAL OF NEUROSCIENCE
  • K Amano
  • ,
  • N Goda
  • ,
  • S Nishida
  • ,
  • Y Ejima
  • ,
  • T Takeda
  • ,
  • Y Ohtani

26
15
開始ページ
3981
終了ページ
3991
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1523/JNEUROSCI.4343-05.2006
出版者・発行元
SOC NEUROSCIENCE

To explore the timing and the underlying neural dynamics of visual perception, we analyzed the relationship between the manual reaction time (RT) to the onset of a visual stimulus and the time course of the evoked neural response simultaneously measured by magnetoencephalography (MEG). The visual stimuli were a transition from incoherent to coherent motion of random dots and an onset of a chromatic grating from a uniform field, which evoke neural responses in different cortical sites. For both stimuli, changes in median RT with changing stimulus strength (motion coherence or chromatic contrast) were accurately predicted, with a stimulus-independent postdetection delay, from the time that the temporally integrated MEG response crossed a threshold ( integrator model). In comparison, the prediction of RT was less accurate from the peak MEG latency, or from the time that the nonintegrated MEG response crossed a threshold (level detector model). The integrator model could also account for, at least partially, intertrial changes in RT or in perception (hit/miss) to identical stimuli. Although we examined MEG-RT relationships mainly for data averaged over trials, the integrator model could show some correlations even for single-trial data. The model predictions deteriorated when only early visual responses presumably originating from the striate cortex were used as the input to the integrator model. Our results suggest that the perceptions for visual stimulus appearances are established in extrastriate areas [around MT ( middle temporal visual area) for motion and around V4 ( fourth visual area) for color] similar to 150-200 ms before subjects manually react to the stimulus.

リンク情報
DOI
https://doi.org/10.1523/JNEUROSCI.4343-05.2006
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/16611814
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000236913000013&DestApp=WOS_CPL
ID情報
  • DOI : 10.1523/JNEUROSCI.4343-05.2006
  • ISSN : 0270-6474
  • PubMed ID : 16611814
  • Web of Science ID : WOS:000236913000013

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