Relationships between music training, speech processing, and word learning: a network perspective

被引:13
作者
Elmer, Stefan [1 ]
Jaencke, Lutz [1 ,2 ,3 ,4 ,5 ]
机构
[1] Univ Zurich, Inst Psychol, Auditory Res Grp Zurich, Div Neuropsychol, Binzmuhlestr 14-25, CH-8050 Zurich, Switzerland
[2] Univ Zurich, Ctr Integrat Human Physiol ZIHP, Zurich, Switzerland
[3] Univ Zurich, Int Normal Aging & Plast Imaging Ctr, Zurich, Switzerland
[4] Univ Zurich, Univ Res Prior Program URPP Dynam Hlth Aging, Zurich, Switzerland
[5] King Abdulaziz Univ, Dept Special Educ, Jeddah, Saudi Arabia
关键词
music training; plasticity; multimodal imaging; neural networks; spectrotemporal speech processing; word learning; AUDITORY-EVOKED RESPONSES; WHITE-MATTER PLASTICITY; PLANUM TEMPORALE; HUMAN BRAIN; FUNCTIONAL CONNECTIVITY; PROFESSIONAL MUSICIANS; DELIBERATE PRACTICE; EXPERT PERFORMANCE; ABSOLUTE PITCH; IN-NOISE;
D O I
10.1111/nyas.13581
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Numerous studies have documented the behavioral advantages conferred on professional musicians and children undergoing music training in processing speech sounds varying in the spectral and temporal dimensions. These beneficial effects have previously often been associated with local functional and structural changes in the auditory cortex (AC). However, this perspective is oversimplified, in that it does not take into account the intrinsic organization of the human brain, namely, neural networks and oscillatory dynamics. Therefore, we propose a new framework for extending these previous findings to a network perspective by integrating multimodal imaging, electrophysiology, and neural oscillations. In particular, we provide concrete examples of how functional and structural connectivity can be used to model simple neural circuits exerting a modulatory influence on AC activity. In addition, we describe how such a network approach can be used for better comprehending the beneficial effects of music training on more complex speech functions, such as word learning.
引用
收藏
页码:10 / 18
页数:9
相关论文
共 88 条
[1]   How restful is it with all that noise? Comparison of Interleaved silent steady state (ISSS) and conventional imaging in resting-state fMRI [J].
Andoh, J. ;
Ferreira, M. ;
Leppert, I. R. ;
Matsushita, R. ;
Pike, B. ;
Zatorre, R. J. .
NEUROIMAGE, 2017, 147 :726-735
[2]   Shared networks for auditory and motor processing in professional pianists:: Evidence from fMRI conjunction [J].
Bangert, M ;
Peschel, T ;
Schlaug, G ;
Rotte, M ;
Drescher, D ;
Hinrichs, H ;
Heinze, HJ ;
Altenmüller, E .
NEUROIMAGE, 2006, 30 (03) :917-926
[3]   Specialization of the specialized in features of external human brain morphology [J].
Bangert, Marc ;
Schlaug, Gottfried .
EUROPEAN JOURNAL OF NEUROSCIENCE, 2006, 24 (06) :1832-1834
[4]   A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls [J].
Bastos, Andre M. ;
Schoffelen, Jan-Mathijs .
FRONTIERS IN SYSTEMS NEUROSCIENCE, 2016, 9
[5]   Positive Cognitive Effects of Bilingualism and Multilingualism on Cerebral Function: a Review [J].
Baumgart, Cibel Quinteros ;
Billick, Stephen Bates .
PSYCHIATRIC QUARTERLY, 2018, 89 (02) :273-283
[6]   The basis of anisotropic water diffusion in the nervous system - a technical review [J].
Beaulieu, C .
NMR IN BIOMEDICINE, 2002, 15 (7-8) :435-455
[7]   Extensive piano practicing has regionally specific effects on white matter development [J].
Bengtsson, SL ;
Nagy, Z ;
Skare, S ;
Forsman, L ;
Forssberg, H ;
Ullén, F .
NATURE NEUROSCIENCE, 2005, 8 (09) :1148-1150
[8]   Neuroanatomical Correlates of Musicianship as Revealed by Cortical Thickness and Voxel-Based Morphometry [J].
Bermudez, Patrick ;
Lerch, Jason P. ;
Evans, Alan C. ;
Zatorre, Robert J. .
CEREBRAL CORTEX, 2009, 19 (07) :1583-1596
[9]   Transfer of training between music and speech: common processing, attention, and memory [J].
Besson, Mireille ;
Chobert, Julie ;
Marie, Celine .
FRONTIERS IN PSYCHOLOGY, 2011, 2
[10]   Reconciling time, space and function: A new dorsal-ventral stream model of sentence comprehension [J].
Bornkessel-Schlesewsky, Ina ;
Schlesewsky, Matthias .
BRAIN AND LANGUAGE, 2013, 125 (01) :60-76