Literature DB >> 32442777

Music processing deficits in Landau-Kleffner syndrome: Four case studies in adulthood.

Yohana Lévêque1, Eliane Roulet-Perez2, Thierry Deonna2, Annie Moulin3, Lesly Fornoni3, Claire Mayor-Dubois2, Anne Caclin3, Barbara Tillmann3.   

Abstract

Verbal-auditory agnosia and aphasia are the most prominent symptoms in Landau-Kleffner syndrome (LKS), a childhood epilepsy that can have sustained long-term effects on language processing. The present study provides the first objective investigation of music perception skills in four adult patients with a diagnosis of LKS during childhood, covering the spectrum of severity of the syndrome from mild to severe. Pitch discrimination, short-term memory for melodic, rhythmic and verbal information, as well as emotion recognition in music and speech prosody were assessed with listening tests, and subjective attitude to music with a questionnaire. We observed amusia in 3 out of 4 patients, with elevated pitch discrimination thresholds and poor short-term memory for melody and rhythm. The two patients with the most severe LKS had impairments in music and prosody emotion recognition, but normal perception of emotional intensity of music. Overall, performance in music processing tasks was proportional to the severity of the syndrome. Nonetheless, the four patients reported that they enjoyed music, felt musical emotions, and used music in their daily life. These new data support the hypothesis that, beyond verbal impairments, cerebral networks involved in sound processing and encoding are deeply altered by the epileptic activity in LKS, well after electrophysiological normalization.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acquired epileptic aphasia; Auditory agnosia; Musical perception disorders; Musical short-term memory; Pitch discrimination

Mesh:

Year:  2020        PMID: 32442777     DOI: 10.1016/j.cortex.2020.03.025

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  1 in total

1.  A Music Emotion Classification Model Based on the Improved Convolutional Neural Network.

Authors:  Xiaosong Jia
Journal:  Comput Intell Neurosci       Date:  2022-02-14
  1 in total

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