Publication | Open Access
Effects of Selective Attention on the Electrophysiological Representation of Concurrent Sounds in the Human Auditory Cortex
231
Citations
42
References
2007
Year
MusicPsychoacousticsAuditory ImageryAuditory CortexSelective AttentionAttentionSocial SciencesCognitive ElectrophysiologyCognitive NeuroscienceMultisensory IntegrationHealth SciencesAuditory ProcessingAuditory Selective AttentionCognitive ScienceAuditory ModelingConcurrent SoundsNeurophysiologyAuditory PhysiologyNeuroscienceSpeech PerceptionHuman Auditory CortexAuditory System
In noisy environments, we use auditory selective attention to actively ignore distracting sounds and select relevant information, as during a cocktail party to follow one particular conversation. The present electrophysiological study aims at deciphering the spatiotemporal organization of the effect of selective attention on the representation of concurrent sounds in the human auditory cortex. Sound onset asynchrony was manipulated to induce the segregation of two concurrent auditory streams. Each stream consisted of amplitude modulated tones at different carrier and modulation frequencies. Electrophysiological recordings were performed in epileptic patients with pharmacologically resistant partial epilepsy, implanted with depth electrodes in the temporal cortex. Patients were presented with the stimuli while they either performed an auditory distracting task or actively selected one of the two concurrent streams. Selective attention was found to affect steady-state responses in the primary auditory cortex, and transient and sustained evoked responses in secondary auditory areas. The results provide new insights on the neural mechanisms of auditory selective attention: stream selection during sound rivalry would be facilitated not only by enhancing the neural representation of relevant sounds, but also by reducing the representation of irrelevant information in the auditory cortex. Finally, they suggest a specialization of the left hemisphere in the attentional selection of fine-grained acoustic information.
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