音乐诱发的怀旧在一生中激活默认模式和奖励网络

IF 3.3 2区 医学 Q1 NEUROIMAGING
Sarah Hennessy, Petr Janata, Talia Ginsberg, Jonas Kaplan, Assal Habibi
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引用次数: 0

摘要

怀旧是一种复杂的情感,常常由音乐引起。怀旧音乐可能会暂时改善认知衰退个体的自传式记忆。然而,音乐诱发的怀旧情绪及其相关的记忆改善背后的神经机制尚不清楚。我们的最终目标是了解唤起怀旧的音乐如何帮助认知障碍患者恢复自传式记忆,我们首先试图了解健康的年轻人和老年人这些过程的神经基础。方法上的限制,包括缺乏个人定制和实验控制的刺激,阻碍了我们对这一机制的理解。在这里,我们使用了一种创新的基于机器学习的方法来构建三类歌曲,它们都与音乐特征相匹配:(1)个性化怀旧,(2)熟悉的非怀旧,(3)不熟悉的非怀旧。在57名参与者中(29名年龄在18-35岁;28岁(60岁及以上),我们使用fMRI研究了音乐诱发怀旧的功能神经关联。主要发现如下:(1)与熟悉的非怀旧或不熟悉的音乐相比,怀旧音乐与双侧默认模式网络、突出网络、奖励网络、内侧颞叶和补充运动区域的活动相关。(2)心理生理相互作用(PPI)模型表明,听怀旧音乐增加了自我参照(后内侧皮质)和情感相关区域(脑岛)的功能连接。(3)在怀旧聆听过程中,老年人在怀旧相关区域的BOLD信号强于年轻人。(4)年轻人对怀旧音乐的BOLD反应与怀旧倾向和认知能力的特质水平因素有关,而老年人的BOLD反应与音乐的情感反应有关。总的来说,我们的研究结果为理解音乐诱发怀旧的神经基础及其在未来临床干预中的潜在应用奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Music-Evoked Nostalgia Activates Default Mode and Reward Networks Across the Lifespan

Music-Evoked Nostalgia Activates Default Mode and Reward Networks Across the Lifespan

Nostalgia is a mixed emotion that is often evoked by music. Nostalgic music may induce temporary improvements in autobiographical memory in individuals with cognitive decline. However, the neural mechanism underlying music-evoked nostalgia and its associated memory improvements is unclear. With the ultimate goal of understanding how nostalgia-evoking music may help retrieve autobiographical memories in individuals with cognitive impairment, we first sought to understand the neural underpinnings of these processes in healthy younger and older adults. Methodological constraints, including the lack of personally tailored and experimentally controlled stimuli, have impeded our understanding of this mechanism. Here, we utilized an innovative machine-learning-based method to construct three categories of songs, all matched for musical features: (1) personalized nostalgic, (2) familiar non-nostalgic, and (3) unfamiliar non-nostalgic. In 57 participants (29 aged 18–35; 28 aged 60 and older), we investigated the functional neural correlates of music-evoked nostalgia using fMRI. Four main findings emerged: (1) Listening to nostalgic music, more than familiar non-nostalgic or unfamiliar music, was associated with bilateral activity in the default mode network, salience network, reward network, medial temporal lobe, and supplementary motor regions, (2) Psychophysiological interaction (PPI) models indicated that listening to nostalgic music involved increased functional connectivity of self-referential (posteromedial cortex) and affect-related regions (insula), (3) Older adults had stronger BOLD signals than younger adults in nostalgia-related regions during nostalgic listening, (4) While the BOLD response to nostalgic music in younger adults was associated with trait-level factors of nostalgia proneness and cognitive ability, the response in older adults was related to affective responses to the music. Overall, our findings serve as a foundation for understanding the neural basis of music-evoked nostalgia and its potential use in future clinical interventions.

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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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