Literature DB >> 23343904

Frequency-specific adaptation in human auditory cortex depends on the spectral variance in the acoustic stimulation.

Björn Herrmann1, Molly J Henry, Jonas Obleser.   

Abstract

In auditory cortex, activation and subsequent adaptation is strongest for regions responding best to a stimulated tone frequency and less for regions responding best to other frequencies. Previous attempts to characterize the spread of neural adaptation in humans investigated the auditory cortex N1 component of the event-related potentials. Importantly, however, more recent studies in animals show that neural response properties are not independent of the stimulation context. To link these findings in animals to human scalp potentials, we investigated whether contextual factors of the acoustic stimulation, namely, spectral variance, affect the spread of neural adaptation. Electroencephalograms were recorded while human participants listened to random tone sequences varying in spectral variance (narrow vs. wide). Spread of adaptation was investigated by modeling single-trial neural adaptation and subsequent recovery based on the spectro-temporal stimulation history. Frequency-specific neural responses were largest on the N1 component, and the modeled neural adaptation indices were strongly predictive of trial-by-trial amplitude variations. Yet the spread of adaption varied depending on the spectral variance in the stimulation, such that adaptation spread was broadened for tone sequences with wide spectral variance. Thus the present findings reveal context-dependent auditory cortex adaptation and point toward a flexibly adjusting auditory system that changes its response properties with the spectral requirements of the acoustic environment.

Entities:  

Mesh:

Year:  2013        PMID: 23343904     DOI: 10.1152/jn.00907.2012

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  20 in total

1.  Dynamic range adaptation to spectral stimulus statistics in human auditory cortex.

Authors:  Björn Herrmann; Nadine Schlichting; Jonas Obleser
Journal:  J Neurosci       Date:  2014-01-01       Impact factor: 6.167

2.  What does motor efference copy represent? Evidence from speech production.

Authors:  Caroline A Niziolek; Srikantan S Nagarajan; John F Houde
Journal:  J Neurosci       Date:  2013-10-09       Impact factor: 6.167

3.  Statistical context shapes stimulus-specific adaptation in human auditory cortex.

Authors:  Björn Herrmann; Molly J Henry; Elisa Kim Fromboluti; J Devin McAuley; Jonas Obleser
Journal:  J Neurophysiol       Date:  2015-02-04       Impact factor: 2.714

4.  Age-related deficits in auditory temporal processing: unique contributions of neural dyssynchrony and slowed neuronal processing.

Authors:  Kelly C Harris; Judy R Dubno
Journal:  Neurobiol Aging       Date:  2017-01-16       Impact factor: 4.673

5.  Adaptation of high-gamma responses in human auditory association cortex.

Authors:  Steven J Eliades; Nathan E Crone; William S Anderson; Deepti Ramadoss; Frederick A Lenz; Dana Boatman-Reich
Journal:  J Neurophysiol       Date:  2014-08-13       Impact factor: 2.714

Review 6.  Dimension-selective attention as a possible driver of dynamic, context-dependent re-weighting in speech processing.

Authors:  Lori L Holt; Adam T Tierney; Giada Guerra; Aeron Laffere; Frederic Dick
Journal:  Hear Res       Date:  2018-06-26       Impact factor: 3.208

7.  Sensitivity of rat inferior colliculus neurons to frequency distributions.

Authors:  Björn Herrmann; Aravindakshan Parthasarathy; Emily X Han; Jonas Obleser; Edward L Bartlett
Journal:  J Neurophysiol       Date:  2015-09-09       Impact factor: 2.714

8.  Aging Affects Adaptation to Sound-Level Statistics in Human Auditory Cortex.

Authors:  Björn Herrmann; Burkhard Maess; Ingrid S Johnsrude
Journal:  J Neurosci       Date:  2018-01-22       Impact factor: 6.167

9.  Experience-dependent enhancement of pitch-specific responses in the auditory cortex is limited to acceleration rates in normal voice range.

Authors:  A Krishnan; J T Gandour; C H Suresh
Journal:  Neuroscience       Date:  2015-07-09       Impact factor: 3.590

10.  Processing of complex distracting sounds in school-aged children and adults: evidence from EEG and MEG data.

Authors:  Philipp Ruhnau; Björn Herrmann; Burkhard Maess; Jens Brauer; Angela D Friederici; Erich Schröger
Journal:  Front Psychol       Date:  2013-10-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.