Estimation of frequency difference at which stream segregation precedes temporal integration as reflected by omission mismatch negativity

•We utilized mismatch negativity to investigate auditory scene analysis.•Stream segregation preceded temporal integration under certain conditions.•This result was only observed when the frequency difference was ≥1000 Hz. Both stream segregation and temporal integration are considered important for...

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Published inBiological psychology Vol. 151; p. 107848
Main Authors Hikita, Masayuki, Shiga, Tetsuya, Osakabe, Yusuke, Mori, Yuhei, Hotsumi, Hirotoshi, Nozaki, Michinari, Hoshino, Hiroshi, Kanno, Kazuko, Itagaki, Shuntaro, Matsuoka, Takashi, Yabe, Hirooki
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.03.2020
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Summary:•We utilized mismatch negativity to investigate auditory scene analysis.•Stream segregation preceded temporal integration under certain conditions.•This result was only observed when the frequency difference was ≥1000 Hz. Both stream segregation and temporal integration are considered important for auditory scene analysis in the brain. Several previous studies have indicated that stream segregation may precede temporal integration when both processes are required. In the present study, we utilized mismatch negativity (MMN)—which reflects automatic change detection—to systematically estimate the threshold of the frequency difference at which stream segregation occurs prior to temporal integration when these functions occur together during a state of inattention. Electroencephalography (EEG) data were recorded from 22 healthy Japanese men presented with six blocks of alternating high pure tones (high tones) and low pure tones (low tones). Only high tones were omitted with 5 % probability in all blocks. Our results indicated that stream segregation should cancel temporal integration of close sounds, as indicated by omission-MMN elicitation, when the frequency difference is 1000 Hz or larger.
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ISSN:0301-0511
1873-6246
DOI:10.1016/j.biopsycho.2020.107848