Research output

Frequency-selective attention in auditory scenes recruits frequency representations throughout human superior temporal cortex

Research output: Contribution to journalArticleAcademicpeer-review

Associated researcher

Associated organisations

Abstract

A sound of interest may be tracked amid other salient sounds by focusing attention on its characteristic features including its frequency. Functional magnetic resonance imaging findings have indicated that frequency representations in human primary auditory cortex (AC) contribute to this feat. However, attentional modulations were examined at relatively low spatial and spectral resolutions, and frequency-selective contributions outside the primary AC could not be established. To address these issues, we compared blood oxygenation level-dependent (BOLD) responses in the superior temporal cortex of human listeners while they identified single frequencies versus listened selectively for various frequencies within a multifrequency scene. Using best-frequency mapping, we observed that the detailed spatial layout of attention-induced BOLD response enhancements in primary AC follows the tonotopy of stimulus-driven frequency representations-analogous to the "spotlight" of attention enhancing visuospatial representations in retinotopic visual cortex. Moreover, using an algorithm trained to discriminate stimulus-driven frequency representations, we could successfully decode the focus of frequency-selective attention from listeners' BOLD response patterns in nonprimary AC. Our results indicate that the human brain facilitates selective listening to a frequency of interest in a scene by reinforcing the fine-grained activity pattern throughout the entire superior temporal cortex that would be evoked if that frequency was present alone.

    Research areas

  • attention, auditory cortex, frequency, MVPA, tonotopy, RECEPTIVE-FIELDS, TONOTOPIC ORGANIZATION, MODULATION, PLASTICITY, PATTERN, SOUNDS, FILTER, GAIN, INFORMATION, ACTIVATION
View graph of relations

Details

Original languageEnglish
Pages (from-to)3002-3014
Number of pages13
JournalCerebral Cortex
Volume27
Issue number5
Early online date26 May 2016
DOIs
Publication statusPublished - May 2017