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The Journal of Neurophysiology Vol. 84 No. 5 November 2000, pp. 2426-2439
Copyright ©2000 by the American Physiological Society
Leibniz Institute for Neurobiology, D-39118 Magdeburg, Germany
Biermann, Silke and
Peter Heil.
Parallels Between Timing of Onset Responses of Single Neurons in
Cat and of Evoked Magnetic Fields in Human Auditory Cortex. J. Neurophysiol. 84: 2426-2439, 2000. Sound
onsets constitute particularly salient transients and evoke strong
responses from neurons of the auditory system, but in the past, such
onset responses have often been analyzed with respect to steady-state
features of sounds, like the sound pressure level. Recent
electrophysiological studies of single neurons from the auditory cortex
of anesthetized cats have revealed that the timing and strength of
onset responses are shaped by dynamic stimulus properties at their very
onsets. Here we demonstrate with magnetoencephalography that
stimulus-response relationships very similar to those of the single
neurons are observed in two onset components, N100m and P50m, of
auditory evoked magnetic fields (AEFs) from the auditory cortex of
awake humans. In response to tones shaped with cosine-squared rise
functions, N100m and P50m peak latencies vary systematically with tone
level and rise time but form a rather invariant function of the
acceleration of the envelope at tone onset. Hence N100m and P50m peak
latencies, as well as peak amplitudes, are determined by dynamic
properties of the stimuli within the first few milliseconds, though not
necessarily by acceleration. The changes of N100m and P50m peak
latencies with rise time and level are incompatible with a
fixed-amplitude threshold model. The direct comparison of the
neuromagnetic and single-neuron data shows that, on average, the
variance of the neuromagnetic data is larger by one to two orders of
magnitude but that favorable measurements can yield variances as low as
those derived from neurons with mediocre precision of response timing.
The striking parallels between the response timing of single cortical
neurons and of AEFs provides a stronger link between single neuron and
population activity.
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