Physiological evidence for a midline spatial channel in human auditory cortex

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JournalJournal of the Association for Research in Otolaryngology
DateAccepted/In press - 26 Apr 2016
DateE-pub ahead of print - 10 May 2016
DatePublished (current) - Aug 2016
Issue number4
Volume17
Number of pages10
Pages (from-to)331-340
Early online date10/05/16
Original languageEnglish

Abstract

Studies with humans and other mammals have provided support for a two-channel representation of horizontal (azimuthal) space in the auditory system. In this representation, location-sensitive neurons contribute activity to one of two broadly tuned channels whose responses are compared to derive an estimate of sound-source location. One channel is maximally responsive to sounds towards the left and the other to sounds towards the right. However, recent psychophysical studies of humans, and physiological studies of other mammals, point to the presence of an additional channel, maximally responsive to the midline. In this study, we used electroencephalography to seek physiological evidence for such a midline channel in humans. We measured neural responses to probe stimuli presented from straight ahead (0°) or towards the right (+30° or +90°). Probes were preceded by adapter stimuli to temporarily suppress channel activity. Adapters came from 0° or alternated between left and right (−30° and +30° or −90° and +90°). For the +90° probe, to which the right-tuned channel would respond most strongly, both accounts predict greatest adaptation when the adapters are at ±90°. For the 0° probe, the two-channel account predicts greatest adaptation from the ±90° adapters, while the three-channel account predicts greatest adaptation when the adapters are at 0° because these adapters stimulate the midline-tuned channel which responds most strongly to the 0° probe. The results were consistent with the three-channel account. In addition, a computational implementation of the three-channel account fitted the probe response sizes well, explaining 93% of the variance about the mean, whereas a two-channel implementation produced a poor fit and explained only 61% of the variance.

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