TY - JOUR
T1 - Selective attention to temporal features on nested time scales
AU - Henry, Molly J.
AU - Herrmann, Björn
AU - Obleser, Jonas
N1 - Funding Information:
This work was supported by the Max Planck Society, Germany, through a Max Planck Research Group grant to J.O. We are grateful to Mandy Jochemko, Anke Kummer, and Simone Wipper for help with data acquisition, to Matthias Powelleit for help with experimental setup and data analysis, and to Merav Ahissar for fruitful initial discussions. We further thank 2 anonymous reviewers for their helpful comments on this manuscript. Conflict of Interest: None declared.
Publisher Copyright:
© 2013 The Author.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2015/2/1
Y1 - 2015/2/1
N2 - Meaningful auditory stimuli such as speech and music often vary simultaneously along multiple time scales. Thus, listeners must selectively attend to, and selectively ignore, separate but intertwined temporal features. The current study aimed to identify and characterize the neural network specifically involved in this feature-selective attention to time. We used a novel paradigm where listeners judged either the duration or modulation rate of auditory stimuli, and in which the stimulation, working memory demands, response requirements, and task difficulty were held constant. A first analysis identified all brain regions where individual brain activation patterns were correlated with individual behavioral performance patterns, which thus supported temporal judgments generically. A second analysis then isolated those brain regions that specifically regulated selective attention to temporal features: Neural responses in a bilateral fronto-parietal network including insular cortex and basal ganglia decreased with degree of change of the attended temporal feature. Critically, response patterns in these regions were inverted when the task required selectively ignoring this feature. The results demonstrate how the neural analysis of complex acoustic stimuli with multiple temporal features depends on a fronto-parietal network that simultaneously regulates the selective gain for attended and ignored temporal features.
AB - Meaningful auditory stimuli such as speech and music often vary simultaneously along multiple time scales. Thus, listeners must selectively attend to, and selectively ignore, separate but intertwined temporal features. The current study aimed to identify and characterize the neural network specifically involved in this feature-selective attention to time. We used a novel paradigm where listeners judged either the duration or modulation rate of auditory stimuli, and in which the stimulation, working memory demands, response requirements, and task difficulty were held constant. A first analysis identified all brain regions where individual brain activation patterns were correlated with individual behavioral performance patterns, which thus supported temporal judgments generically. A second analysis then isolated those brain regions that specifically regulated selective attention to temporal features: Neural responses in a bilateral fronto-parietal network including insular cortex and basal ganglia decreased with degree of change of the attended temporal feature. Critically, response patterns in these regions were inverted when the task required selectively ignoring this feature. The results demonstrate how the neural analysis of complex acoustic stimuli with multiple temporal features depends on a fronto-parietal network that simultaneously regulates the selective gain for attended and ignored temporal features.
UR - http://www.scopus.com/inward/record.url?scp=84925017900&partnerID=8YFLogxK
U2 - 10.1093/cercor/bht240
DO - 10.1093/cercor/bht240
M3 - Journal articles
C2 - 23978652
AN - SCOPUS:84925017900
SN - 1047-3211
VL - 25
SP - 450
EP - 459
JO - Cerebral Cortex
JF - Cerebral Cortex
IS - 2
ER -