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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.
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页码:10 / 18
页数:9
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