The Journal of Neuroscience, April 12, 2006, 26(15):3981-3991; doi:10.1523/JNEUROSCI.4343-05.2006
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Behavioral/Systems/Cognitive
Estimation of the Timing of Human Visual Perception from Magnetoencephalography
Kaoru Amano,1,2
Naokazu Goda,3,4
Shin'ya Nishida,2
Yoshimichi Ejima,5
Tsunehiro Takeda,1 and
Yoshio Ohtani6
1Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8561, Japan, 2Human and Information Science Laboratory, NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Kanagawa 243-0198, Japan, 3Advanced Telecommunications Research Institute, Computational Neuroscience Laboratories, Kyoto 619-0288, Japan, 4Department of Information Physiology, National Institute for Physiological Sciences, Aichi 444-8585, Japan, 5Kyoto Institute of Technology, Kyoto 606-8585, Japan, and 6Faculty of Engineering and Design, Kyoto Institute of Technology, Kyoto 606-8585, Japan
Correspondence should be addressed to Kaoru Amano, Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan. Email: amano{at}brain.k.u-tokyo.ac.jp
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 MEGRT 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]
150200 ms before subjects manually react to the stimulus.
Key words: MEG; motion; color; RT; integrator; MT+
Received Nov. 12, 2005;
revised Jan. 31, 2006;
accepted March 3, 2006.
Correspondence should be addressed to Kaoru Amano, Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan. Email: amano{at}brain.k.u-tokyo.ac.jp
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