Automatic and feature-specific prediction-related neural activity in the human auditory system

Nature Communications
Gianpaolo DemarchiNathan Weisz

Abstract

Prior experience enables the formation of expectations of upcoming sensory events. However, in the auditory modality, it is not known whether prediction-related neural signals carry feature-specific information. Here, using magnetoencephalography (MEG), we examined whether predictions of future auditory stimuli carry tonotopic specific information. Participants passively listened to sound sequences of four carrier frequencies (tones) with a fixed presentation rate, ensuring strong temporal expectations of when the next stimulus would occur. Expectation of which frequency would occur was parametrically modulated across the sequences, and sounds were occasionally omitted. We show that increasing the regularity of the sequence boosts carrier-frequency-specific neural activity patterns during both the anticipatory and omission periods, indicating that prediction-related neural activity is indeed feature-specific. Our results illustrate that even without bottom-up input, auditory predictions can activate tonotopically specific templates.

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Citations

May 27, 2020·PLoS Biology·Ghazaleh ArabkheradmandChristina Zelano
Mar 18, 2020·Proceedings of the National Academy of Sciences of the United States of America·Tessel BlomHinze Hogendoorn
Jan 20, 2021·Cortex; a Journal Devoted to the Study of the Nervous System and Behavior·Daniel FeuerriegelHinze Hogendoorn
Mar 13, 2021·Cortex; a Journal Devoted to the Study of the Nervous System and Behavior·Tessel BlomHinze Hogendoorn
May 21, 2021·Journal of the Association for Research in Otolaryngology : JARO·Collins Opoku-BaahMark T Wallace
Jul 24, 2021·Cerebral Cortex Communications·Tomas LencSylvie Nozaradan
Aug 17, 2021·Neurobiology of Language·Sara D BeachDimitrios Pantazis
May 23, 2020·NeuroImage·Fabian SchmidtNathan Weisz

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