Multilevel fMRI adaptation for spoken word processing in the awake dog brain

Author:

Gábor Anna,Gácsi Márta,Szabó Dóra,Miklósi Ádám,Kubinyi Enikő,Andics Attila

Abstract

AbstractHuman brains process lexical meaning separately from emotional prosody of speech at higher levels of the processing hierarchy. Recently we demonstrated that dog brains can also dissociate lexical and emotional prosodic information in human spoken words. To better understand the neural dynamics of lexical processing in the dog brain, here we used an event-related design, optimized for fMRI adaptation analyses on multiple time scales. We investigated repetition effects in dogs’ neural (BOLD) responses to lexically marked (praise) words and to lexically unmarked (neutral) words, in praising and neutral prosody. We identified temporally and anatomically distinct adaptation patterns. In a subcortical auditory region, we found both short- and long-term fMRI adaptation for emotional prosody, but not for lexical markedness. In multiple cortical auditory regions, we found long-term fMRI adaptation for lexically marked compared to unmarked words. This lexical adaptation showed right-hemisphere bias and was age-modulated in a near-primary auditory region and was independent of prosody in a secondary auditory region. Word representations in dogs’ auditory cortex thus contain more than just the emotional prosody they are typically associated with. These findings demonstrate multilevel fMRI adaptation effects in the dog brain and are consistent with a hierarchical account of spoken word processing.

Funder

National Excellence Program of the Ministry of Human Capacities

Hungarian Academy of Sciences – Eötvös Loránd University ’Lendület’

Hungarian Academy of Sciences – Eötvös Loránd University

Nemzeti Kutatási Fejlesztési és Innovációs Hivatal

H2020 European Research Council

Eötvös Loránd University Institutional Excellence Program

National Brain Program

Bolyai Research Scholarship

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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