Musicians Are Better than Non-musicians in Frequency Change Detection: Behavioral and Electrophysiological Evidence

被引:30
作者
Liang, Chun [1 ]
Earl, Brian [1 ]
Thompson, Ivy [1 ]
Whitaker, Kayla [1 ]
Cahn, Steven [2 ]
Xiang, Jing [3 ]
Fu, Qian-Jie [4 ]
Zhang, Fawen [1 ]
机构
[1] Univ Cincinnati, Dept Commun Sci & Disorders, Cincinnati, OH 45220 USA
[2] Univ Cincinnati, Coll Conservatory Mus, Dept Composit Musicol & Theory, Cincinnati, OH USA
[3] Cincinnati Childrens Hosp Med Ctr, Dept Pediat & Neurol, Cincinnati, OH 45229 USA
[4] Univ Calif Los Angeles, Dept Head & Neck Surg, Los Angeles, CA USA
来源
FRONTIERS IN NEUROSCIENCE | 2016年 / 10卷
关键词
frequency change detection; auditory evoked potentials; acoustic change complex; electrophysiology; cortex; COCHLEAR IMPLANT USERS; AUDITORY CORTICAL REPRESENTATION; EVOKED-POTENTIALS; ACOUSTIC CHANGE; BRAIN-STEM; PITCH DISCRIMINATION; MUSICAL EXPERTISE; CHANGE COMPLEX; LANGUAGE; SPEECH;
D O I
10.3389/fnins.2016.00464
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Objective: The objectives of this study were: (1) to determine if musicians have a better ability to detect frequency changes under quiet and noisy conditions: (2) to use the acoustic change complex (ACC), a type of electroencephalographic (EEG) response, to understand the neural substrates of musician vs. non musician difference in frequency change detection abilities. Methods: Twenty-four young normal hearing listeners (12 musicians and 12 non-musicians) participated. All participants underwent psychoacoustic frequency detection tests with three types of stimuli: tones (base frequency at 160 Hz) containing frequency changes (Stim 1), tones containing frequency changes masked by low-level noise (Stim 2), and tones containing frequency changes masked by high-level noise (Stim 3). The EEG data were recorded using tones (base frequency at 160 and 1200 Hz, respectively) containing different magnitudes of frequency changes (0, 5, and 50% changes, respectively). The late-latency evoked potential evoked by the onset of the tones (onset LAEP or N1-P2 complex) and that evoked by the frequency change contained in the tone (the acoustic change complex or ACC or N1'-P2' complex) were analyzed. Results: Musicians significantly outperformed non-musicians in all stimulus conditions. The ACC and onset LAEP showed similarities and differences. Increasing the magnitude of frequency change resulted in increased ACC amplitudes. ACC measures were found to be significantly different between musicians (larger P2' amplitude) and non-musicians for the base frequency of 160 Hz but not 1200 Hz. Although the peak amplitude in the onset LAEP appeared to be larger and latency shorter in musicians than in non-musicians, the difference did not reach statistical significance. The amplitude of the onset LAEP is significantly correlated with that of the ACC for the base frequency of 160 Hz. Conclusion: The present study demonstrated that musicians do perform better than non-musicians in detecting frequency changes in quiet and noisy conditions. The ACC and onset LAEP may involve different but mechanisms. overlapping neural mechanisms. Significance: This is the first study using the ACC to examine music-training effects. The ACC measures provide an objective tool for documenting musical training effects on frequency detection.
引用
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页数:14
相关论文
共 77 条
  • [1] Besson M, 2007, RESTOR NEUROL NEUROS, V25, P399
  • [2] Tone Language Speakers and Musicians Share Enhanced Perceptual and Cognitive Abilities for Musical Pitch: Evidence for Bidirectionality between the Domains of Language and Music
    Bidelman, Gavin M.
    Hutka, Stefanie
    Moreno, Sylvain
    [J]. PLOS ONE, 2013, 8 (04):
  • [3] The electrically evoked auditory change complex: Preliminary results from Nucleus cochlear implant users
    Brown, Carolyn J.
    Etler, Christine
    He, Shuman
    O'Brien, Sara
    Erenberg, Sheryl
    Kim, Jae-Ryong
    Dhuldhoya, Aayesha N.
    Abbas, Paul J.
    [J]. EAR AND HEARING, 2008, 29 (05) : 704 - 717
  • [4] Tonal response patterns of primary auditory cortex neurons in alert cats
    Chimoto, S
    Kitama, T
    Qin, L
    Sakayori, S
    Sato, Y
    [J]. BRAIN RESEARCH, 2002, 934 (01) : 34 - 42
  • [5] A review of the evidence for P2 being an independent component process: age, sleep and modality
    Crowley, KE
    Colrain, IM
    [J]. CLINICAL NEUROPHYSIOLOGY, 2004, 115 (04) : 732 - 744
  • [6] Sentence pitch change detection in the native and unfamiliar language in musicians and non-musicians: Behavioral, electrophysiological and psychoacoustic study
    Deguchi, Chizuru
    Boureux, Magali
    Sarlo, Michela
    Besson, Mireille
    Grassi, Massimo
    Schoen, Daniele
    Colombo, Lucia
    [J]. BRAIN RESEARCH, 2012, 1455 : 75 - 89
  • [7] Frequency changes in a continuous tone: Auditory cortical potentials
    Dimitrijevic, Andrew
    Michalewski, Henry J.
    Zeng, Fan-Gang
    Pratt, Hillel
    Starr, Arnold
    [J]. CLINICAL NEUROPHYSIOLOGY, 2008, 119 (09) : 2111 - 2124
  • [8] APEX 3: a multi-purpose test platform for auditory psychophysical experiments
    Francart, Tom
    van Wieringen, Astrid
    Wouters, Jan
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2008, 172 (02) : 283 - 293
  • [9] Acoustic change complexes recorded in adult cochlear implant listeners
    Friesen, Lendra M.
    Tremblay, Kelly L.
    [J]. EAR AND HEARING, 2006, 27 (06) : 678 - 685
  • [10] Fu Qian-Jie, 2004, Cochlear Implants Int, V5 Suppl 1, P84, DOI 10.1179/cim.2004.5.Supplement-1.84