title: Individual differences in attentional modulation of cortical responses correlate with selective attention performance.
abstract: Many studies have shown that attention modulates the cortical representation of an auditory scene, emphasizing an attended source while suppressing competing sources. Yet, individual differences in the strength of this attentional modulation and their relationship with selective attention ability are poorly understood. Here, we ask whether differences in how strongly attention modulates cortical responses reflect differences in normal-hearing listeners' selective auditory attention ability. We asked listeners to attend to one of three competing melodies and identify its pitch contour while we measured cortical electroencephalographic responses. The three melodies were either from widely separated pitch ranges ("easy trials"), or from a narrow, overlapping pitch range ("hard trials"). The melodies started at slightly different times; listeners attended either the leading or lagging melody. Because of the timing of the onsets, the leading melody drew attention exogenously. In contrast, attending the lagging melody required listeners to direct top-down attention volitionally. We quantified how attention amplified auditory N1 response to the attended melody and found large individual differences in the N1 amplification, even though only correctly answered trials were used to quantify the ERP gain. Importantly, listeners with the strongest amplification of N1 response to the lagging melody in the easy trials were the best performers across other types of trials. Our results raise the possibility that individual differences in the strength of top-down gain control reflect inherent differences in the ability to control top-down attention.
authors.affiliation: Center for Computational Neuroscience and Neural Technology, Boston University, Boston, MA 02215, USA.
authors.forename: Inyong
authors.initials: I
authors.lastname: Choi
authors.affiliation: Center for Computational Neuroscience and Neural Technology, Boston University, Boston, MA 02215, USA.
authors.forename: Le
authors.initials: L
authors.lastname: Wang
authors.affiliation: Center for Computational Neuroscience and Neural Technology, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
authors.forename: Hari
authors.initials: H
authors.lastname: Bharadwaj
authors.affiliation: Center for Computational Neuroscience and Neural Technology, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA. Electronic address: shinn@cns.bu.edu.
authors.forename: Barbara
authors.initials: B
authors.lastname: Shinn-Cunningham
mesh_terms: D000328:Adult; D001288:Attention / Q000502:physiology*; D001307:Auditory Perception / Q000502:physiology*; D003071:Cognition; D004569:Electroencephalography; D005071:Evoked Potentials; D005260:Female; D006309:Hearing; D006801:Humans; D008297:Male; D009146:Music; D009474:Neurons / Q000502:physiology; D010898:Pitch Perception; D015203:Reproducibility of Results; D055815:Young Adult