Sound identification in human auditory cortex: Differential contribution of local field potentials and high gamma power as revealed by direct intracranial recordings

Kirill V Nourski; Mitchell Steinschneider; Ariane E Rhone; Hiroyuki Oya; Hiroto Kawasaki; Matthew A Howard; Bob McMurray

doi:10.1016/j.bandl.2015.03.003

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Sound identification in human auditory cortex: Differential contribution of local field potentials and high gamma power as revealed by direct intracranial recordings

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Sound identification in human auditory cortex: Differential contribution of local field potentials and high gamma power as revealed by direct intracranial recordings

Kirill V Nourski, Mitchell Steinschneider, Ariane E Rhone, Hiroyuki Oya, Hiroto Kawasaki, Matthew A Howard and Bob McMurray

Brain and language, Vol.148, pp.37-50

09/2015

DOI: 10.1016/j.bandl.2015.03.003

PMCID: PMC4556541

PMID: 25819402

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http://doi.org/10.1016/j.bandl.2015.03.003View

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Abstract

•Local field potentials (LFPs) provide greater classification accuracy than high gamma.•Classification accuracy using LFPs is enhanced by adding fine temporal detail.•Highest accuracy is achieved when using both measures. High gamma power has become the principal means of assessing auditory cortical activation in human intracranial studies, albeit at the expense of low frequency local field potentials (LFPs). It is unclear whether limiting analyses to high gamma impedes ability of clarifying auditory cortical organization. We compared the two measures obtained from posterolateral superior temporal gyrus (PLST) and evaluated their relative utility in sound categorization. Subjects were neurosurgical patients undergoing invasive monitoring for medically refractory epilepsy. Stimuli (consonant–vowel syllables varying in voicing and place of articulation and control tones) elicited robust evoked potentials and high gamma activity on PLST. LFPs had greater across-subject variability, yet yielded higher classification accuracy, relative to high gamma power. Classification was enhanced by including temporal detail of LFPs and combining LFP and high gamma. We conclude that future studies should consider utilizing both LFP and high gamma when investigating the functional organization of human auditory cortex.

Speech

Classification analysis

Superior temporal gyrus

Averaged evoked potential

Electrocorticography

Details

Title: Subtitle: Sound identification in human auditory cortex: Differential contribution of local field potentials and high gamma power as revealed by direct intracranial recordings
Creators: Kirill V Nourski - Department of Neurosurgery, The University of Iowa, Iowa City, IA 52242, USA
Mitchell Steinschneider - Department of Neurology, Albert Einstein College of Medicine, New York, NY 10461, USA
Ariane E Rhone - Department of Neurosurgery, The University of Iowa, Iowa City, IA 52242, USA
Hiroyuki Oya - Department of Neurosurgery, The University of Iowa, Iowa City, IA 52242, USA
Hiroto Kawasaki - Department of Neurosurgery, The University of Iowa, Iowa City, IA 52242, USA
Matthew A Howard - Department of Neurosurgery, The University of Iowa, Iowa City, IA 52242, USA
Bob McMurray - Department of Psychology, The University of Iowa, Iowa City, IA 52242, USA
Resource Type: Journal article
Publication Details: Brain and language, Vol.148, pp.37-50
DOI: 10.1016/j.bandl.2015.03.003
PMID: 25819402
PMCID: PMC4556541
NLM abbreviation: Brain Lang
ISSN: 0093-934X
eISSN: 1090-2155
Publisher: Elsevier Inc
Language: English
Date published: 09/2015
Academic Unit: Neurology; Communication Sciences and Disorders; Linguistics; Psychological and Brain Sciences; Iowa Neuroscience Institute; Neurosurgery; Otolaryngology
Record Identifier: 9984014692902771

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