Brain Activation during Anticipation of Sound Sequences

被引:148
作者
Leaver, Amber M. [1 ]
Van Lare, Jennifer [1 ]
Zielinski, Brandon [1 ]
Halpern, Andrea R. [2 ]
Rauschecker, Josef P. [1 ]
机构
[1] Georgetown Univ, Med Ctr, Dept Physiol & Biophys, Lab Integrat Neurosci & Cognit, Washington, DC 20057 USA
[2] Bucknell Univ, Dept Psychol, Lewisburg, PA 17837 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
prefrontal cortex; basal ganglia; auditory; fMRI; learning and memory; motor learning; PRESUPPLEMENTARY MOTOR AREA; PREFRONTAL CORTEX; EPISODIC MEMORY; PREMOTOR CORTEX; PARIETAL CORTEX; MUSIC; FMRI; SONG; REPRESENTATION; PERCEPTION;
D O I
10.1523/JNEUROSCI.4921-08.2009
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Music consists of sound sequences that require integration over time. As we become familiar with music, associations between notes, melodies, and entire symphonic movements become stronger and more complex. These associations can become so tight that, for example, hearing the end of one album track can elicit a robust image of the upcoming track while anticipating it in total silence. Here, we study this predictive "anticipatory imagery" at various stages throughout learning and investigate activity changes in corresponding neural structures using functional magnetic resonance imaging. Anticipatory imagery (in silence) for highly familiar naturalistic music was accompanied by pronounced activity in rostral prefrontal cortex (PFC) and premotor areas. Examining changes in the neural bases of anticipatory imagery during two stages of learning conditional associations between simple melodies, however, demonstrates the importance of fronto-striatal connections, consistent with a role of the basal ganglia in "training" frontal cortex (Pasupathy and Miller, 2005). Another striking change in neural resources during learning was a shift between caudal PFC earlier to rostral PFC later in learning. Our findings regarding musical anticipation and sound sequence learning are highly compatible with studies of motor sequence learning, suggesting common predictive mechanisms in both domains.
引用
收藏
页码:2477 / 2485
页数:9
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