Literature DB >> 33895941

Evaluation of multi-feature auditory deviance detection in Parkinson's disease: a mismatch negativity study.

Evelien De Groote1, Annelies Bockstael2, Dick Botteldooren2, Patrick Santens3, Miet De Letter4.   

Abstract

Behavioral studies on auditory deviance detection in patients with Parkinson's disease (PD) have reported contradictory results. The primary aim of this study was to investigate auditory deviance detection of multiple auditory features in patients with PD by means of objective and reliable electroencephalographic (EEG) measurements. Twelve patients with early-stage PD and twelve age- and gender-matched healthy controls (HCs) were included in this study. Patients with PD participated without their regular dopaminergic medication. All subjects underwent an audiometric screening and performed a passive multi-feature mismatch negativity (MMN) paradigm. Repeated-measures analysis of variance (ANOVA) demonstrated no significant differences between patients with PD and HCs regarding MMN mean amplitude and latency for frequency, duration and gap deviants. Nevertheless, a trend towards increased MMN mean amplitude and latency was found in response to intensity deviants in patients with PD compared to HCs. Increased intensity MMN amplitude may indicate that more neural resources are allocated to the processing of intensity deviances in patients with PD compared to HCs. The interpretation of this intensity-specific MMN alteration is further discussed in the context of a compensatory mechanism for auditory intensity processing and involuntary attention switching in PD.

Entities:  

Keywords:  Auditory deviance detection; Auditory event-related potentials (ERPs); Mismatch negativity (MMN); Parkinson’s disease (PD)

Year:  2021        PMID: 33895941     DOI: 10.1007/s00702-021-02341-z

Source DB:  PubMed          Journal:  J Neural Transm (Vienna)        ISSN: 0300-9564            Impact factor:   3.575


  62 in total

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Journal:  J Neural Transm (Vienna)       Date:  2017-07-14       Impact factor: 3.575

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Journal:  Neurobiol Aging       Date:  2008-04-18       Impact factor: 4.673

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Authors:  Charles-Etienne Benoit; Simone Dalla Bella; Nicolas Farrugia; Hellmuth Obrig; Stefan Mainka; Sonja A Kotz
Journal:  Front Hum Neurosci       Date:  2014-07-07       Impact factor: 3.169

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Journal:  PLoS One       Date:  2018-01-26       Impact factor: 3.240

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