Literature DB >> 29100660

Tracting the neural basis of music: Deficient structural connectivity underlying acquired amusia.

Aleksi J Sihvonen1, Pablo Ripollés2, Teppo Särkämö3, Vera Leo3, Antoni Rodríguez-Fornells4, Jani Saunavaara5, Riitta Parkkola6, Seppo Soinila7.   

Abstract

Acquired amusia provides a unique opportunity to investigate the fundamental neural architectures of musical processing due to the transition from a functioning to defective music processing system. Yet, the white matter (WM) deficits in amusia remain systematically unexplored. To evaluate which WM structures form the neural basis for acquired amusia and its recovery, we studied 42 stroke patients longitudinally at acute, 3-month, and 6-month post-stroke stages using DTI [tract-based spatial statistics (TBSS) and deterministic tractography (DT)] and the Scale and Rhythm subtests of the Montreal Battery of Evaluation of Amusia (MBEA). Non-recovered amusia was associated with structural damage and subsequent degeneration in multiple WM tracts including the right inferior fronto-occipital fasciculus (IFOF), arcuate fasciculus (AF), inferior longitudinal fasciculus (ILF), uncinate fasciculus (UF), and frontal aslant tract (FAT), as well as in the corpus callosum (CC) and its posterior part (tapetum). In a linear regression analysis, the volume of the right IFOF was the main predictor of MBEA performance across time. Overall, our results provide a comprehensive picture of the large-scale deficits in intra- and interhemispheric structural connectivity underlying amusia, and conversely highlight which pathways are crucial for normal music perception.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Amusia; Music; Stroke; Tract-based spatial statistics; Tractography

Mesh:

Year:  2017        PMID: 29100660     DOI: 10.1016/j.cortex.2017.09.028

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


  7 in total

Review 1.  Hierarchy processing in human neurobiology: how specific is it?

Authors:  Angela D Friederici
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-11-18       Impact factor: 6.237

2.  Reverse Engineering Tone-Deafness: Disrupting Pitch-Matching by Creating Temporary Dysfunctions in the Auditory-Motor Network.

Authors:  Anja Hohmann; Psyche Loui; Charles H Li; Gottfried Schlaug
Journal:  Front Hum Neurosci       Date:  2018-01-30       Impact factor: 3.169

3.  Musical Instrument Practice Predicts White Matter Microstructure and Cognitive Abilities in Childhood.

Authors:  Psyche Loui; Lauren B Raine; Laura Chaddock-Heyman; Arthur F Kramer; Charles H Hillman
Journal:  Front Psychol       Date:  2019-05-24

4.  Autistic traits, resting-state connectivity, and absolute pitch in professional musicians: shared and distinct neural features.

Authors:  T Wenhart; R A I Bethlehem; S Baron-Cohen; E Altenmüller
Journal:  Mol Autism       Date:  2019-05-02       Impact factor: 7.509

5.  The Frontal Aslant Tract: A Systematic Review for Neurosurgical Applications.

Authors:  Emanuele La Corte; Daniela Eldahaby; Elena Greco; Domenico Aquino; Giacomo Bertolini; Vincenzo Levi; Malte Ottenhausen; Greta Demichelis; Luigi Michele Romito; Francesco Acerbi; Morgan Broggi; Marco Paolo Schiariti; Paolo Ferroli; Maria Grazia Bruzzone; Graziano Serrao
Journal:  Front Neurol       Date:  2021-02-24       Impact factor: 4.003

6.  Lateral prefrontal cortex is a hub for music production from structural rules to movements.

Authors:  Roberta Bianco; Giacomo Novembre; Hanna Ringer; Natalie Kohler; Peter E Keller; Arno Villringer; Daniela Sammler
Journal:  Cereb Cortex       Date:  2022-09-04       Impact factor: 4.861

7.  Vocal music listening enhances post-stroke language network reorganization.

Authors:  Aleksi J Sihvonen; Pablo Ripollés; Vera Leo; Jani Saunavaara; Riitta Parkkola; Antoni Rodríguez-Fornells; Seppo Soinila; Teppo Särkämö
Journal:  eNeuro       Date:  2021-06-17
  7 in total

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