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自闭症特质、静息态连接与专业音乐人士的绝对音高:共享与独特的神经特征。

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

机构信息

Institute of Music Physiology and Musicians' Medicine, University for Music, Drama and Media, Hannover, Germany.

2Center for Systems Neuroscience, Hannover, Germany.

出版信息

Mol Autism. 2019 May 2;10:20. doi: 10.1186/s13229-019-0272-6. eCollection 2019.

Abstract

BACKGROUND

Recent studies indicate increased autistic traits in musicians with absolute pitch and a higher proportion of absolute pitch in people with autism. Theoretical accounts connect both of these with shared neural principles of local hyper- and global hypoconnectivity, enhanced perceptual functioning, and a detail-focused cognitive style. This is the first study to investigate absolute pitch proficiency, autistic traits, and brain correlates in the same study.

SAMPLE AND METHODS

Graph theoretical analysis was conducted on resting-state (eyes closed and eyes open) EEG connectivity (wPLI, weighted phase lag index) matrices obtained from 31 absolute pitch (AP) and 33 relative pitch (RP) professional musicians. Small-worldness, global clustering coefficient, and average path length were related to autistic traits, passive (tone identification) and active (pitch adjustment) absolute pitch proficiency, and onset of musical training using Welch two-sample tests, correlations, and general linear models.

RESULTS

Analyses revealed increased path length (delta 2-4 Hz), reduced clustering (beta 13-18 Hz), reduced small-worldness (gamma 30-60 Hz), and increased autistic traits for AP compared to RP. Only clustering values (beta 13-18 Hz) were predicted by both AP proficiency and autistic traits. Post hoc single connection permutation tests among raw wPLI matrices in the beta band (13-18 Hz) revealed widely reduced interhemispheric connectivity between bilateral auditory-related electrode positions along with higher connectivity between F7-F8 and F8-P9 for AP. Pitch-naming ability and pitch adjustment ability were predicted by path length, clustering, autistic traits, and onset of musical training (for pitch adjustment) explaining 44% and 38% of variance, respectively.

CONCLUSIONS

Results show both shared and distinct neural features between AP and autistic traits. Differences in the beta range were associated with higher autistic traits in the same population. In general, AP musicians exhibit a widely underconnected brain with reduced functional integration and reduced small-world property during resting state. This might be partly related to autism-specific brain connectivity, while differences in path length and small-worldness reflect other ability-specific influences. This is further evidenced for different pathways in the acquisition and development of absolute pitch, likely influenced by both genetic and environmental factors and their interaction.

摘要

背景

最近的研究表明,具有绝对音高的音乐家表现出更多的自闭症特征,而自闭症患者中具有绝对音高的比例也更高。理论解释将这两者联系在一起,认为它们都具有共享的局部过度连接和全局不足连接、增强的感知功能以及注重细节的认知风格等神经原则。这是第一项在同一研究中调查绝对音高能力、自闭症特征和大脑相关性的研究。

方法

对 31 名具有绝对音高(AP)和 33 名具有相对音高(RP)的专业音乐家的静息状态(闭眼和睁眼)脑电图连接(wPLI,加权相位滞后指数)矩阵进行图论分析。使用 Welch 两样本检验、相关性和广义线性模型,将小世界、全局聚类系数和平均路径长度与自闭症特征、被动(音高识别)和主动(音高调整)绝对音高能力以及音乐训练开始时间相关联。

结果

分析结果显示,与 RP 相比,AP 的路径长度增加(2-4 Hz 频段)、聚类减少(13-18 Hz 频段)、小世界程度降低(30-60 Hz 频段)、自闭症特征增加。只有聚类值(13-18 Hz 频段)可以同时预测 AP 能力和自闭症特征。在β频段(13-18 Hz)的原始 wPLI 矩阵之间进行的单连接置换测试中,双侧听觉相关电极位置之间的半球间连接广泛减少,而对于 AP,F7-F8 和 F8-P9 之间的连接增加。音高命名能力和音高调整能力由路径长度、聚类、自闭症特征和音乐训练开始时间(音高调整)预测,分别解释了 44%和 38%的方差。

结论

结果表明,AP 和自闭症特征之间存在共享和独特的神经特征。在同一人群中,β频段的差异与更高的自闭症特征相关。一般来说,AP 音乐家在静息状态下表现出广泛的脑连接不足,功能整合减少,小世界属性降低。这可能部分与自闭症特有的脑连接有关,而路径长度和小世界的差异则反映了其他特定能力的影响。这进一步证明了绝对音高的获得和发展存在不同的途径,可能受到遗传和环境因素及其相互作用的影响。

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