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Cerebral Cortex, Vol. 10, No. 8, 817-825, August 2000
© 2000 Oxford University Press

Electrophysiological Evidence for Fast Visual Processing through the Human Koniocellular Pathway when Stimuli Move

Stephanie Morand1, Gregor Thut1,2, Rolando Grave de Peralta1, Stephanie Clarke3, Asaid Khateb1, Theodor Landis1 and Christoph M. Michel1,2

1 Functional Brain Mapping Laboratory, Department of Neurology, University Hospital Geneva, , 2 Plurifaculty Program of Cognitive Neuroscience, University of Geneva and , 3 Division of Neuropsychology, CHUV, University of Lausanne, Switzerland

There is increasing evidence from cellular recordings in primates and behavioral studies in humans that motion can be processed by other than the magnocellular (M) pathway and the cortical dorsal stream. Little is known about cortical processing of moving stimuli when the information is conveyed by the third retinogeniculocortical pathway — the so-called koniocellular (K) pathway. We addressed this issue in humans by studying the spatio-temporal dynamics of the brain electrical fields evoked by tritan (S-cone isolating) and luminance-defined moving stimuli. Tritan and luminance stimuli are presumably carried by the K and M pathways respectively. We found two time intervals where significant stimulus-specific electric fields were evoked: an early period between 40 and 75 ms after stimulus onset, and a later period between 175 and 240 ms. Some of these fields were identical for tritanand luminance-motion, suggesting that the processing of moving stimuli share common cortical substrates when mediated via K and M pathway input. However, tritan-motion stimuli also evoked unique electric fields that appeared earlier in time than the common motion-specific fields, indicating very fast activation of cortical areas specific to input through the K pathway. A distributed source localization procedure revealed simultaneous activation of striate and extrastriate areas even at the early processing stages, strongly suggesting a very fast activation of the visual cerebral network.


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