Yazdan Choghazardi, Hossein Faghirnavaz, Masoomeh Fooladi, Hamid Sharini, Mehdi Sobhani, Habibolah Khazaie, Mehdi Khodamoradi, Shahrokh Naseri
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引用次数: 0
Abstract
The aim of this study is to investigate activity and functional connectivity (FC) of Papez circuit networks associated with music processing using functional magnetic resonance imaging (fMRI) in depressed breast cancer patients. Twenty-three breast cancer patients listened to four different Iranian/Persian music paradigms during the resting-state fMRI scanning session: negative stimulation of traditional music, negative stimulation of pop music, positive stimulation of traditional music and positive stimulation of pop music. The amplitude of low-frequency fluctuation (ALFF) was used to evaluate the local characteristics of spontaneous brain activity. FC maps were created using multivariate ROI-to-ROI connectivity (mRRC) and Papez circuit-based regions of interest (ROIs) selection. We found that music increases FC within various brain networks which are involved in memory, emotion, and cognitive function, including the limbic system, the default mode network (DMN), salience network (SN), and central executive network (CEN). Moreover, it seems that the traditional types (both positive and negative) of Iranian music may be more effective to affect brain activity in the patients with breast cancer, than the Iranian pop music. These findings demonstrate that music therapy, as an effective and easily applicable approach, supports the neuropsychological recovery and can contribute to standard treatment protocols in patients with breast cancer.
本研究旨在利用功能磁共振成像(fMRI)研究抑郁型乳腺癌患者与音乐处理相关的 Papez 电路网络的活动和功能连通性(FC)。23 名乳腺癌患者在静息状态 fMRI 扫描过程中聆听了四种不同的伊朗/波斯音乐范式:传统音乐负向刺激、流行音乐负向刺激、传统音乐正向刺激和流行音乐正向刺激。低频波动幅度(ALFF)用于评估大脑自发活动的局部特征。利用多变量 ROI 到 ROI 连接(mRRC)和基于 Papez 回路的感兴趣区(ROI)选择,绘制了 FC 图。我们发现,音乐增加了边缘系统、默认模式网络(DMN)、显著性网络(SN)和中央执行网络(CEN)等多个涉及记忆、情感和认知功能的大脑网络内的FC。此外,与伊朗流行音乐相比,传统类型(包括积极和消极)的伊朗音乐似乎更能影响乳腺癌患者的大脑活动。这些研究结果表明,音乐疗法作为一种有效且易于应用的方法,有助于乳腺癌患者的神经心理康复,并能为乳腺癌患者的标准治疗方案做出贡献。
期刊介绍:
Brain Topography publishes clinical and basic research on cognitive neuroscience and functional neurophysiology using the full range of imaging techniques including EEG, MEG, fMRI, TMS, diffusion imaging, spectroscopy, intracranial recordings, lesion studies, and related methods. Submissions combining multiple techniques are particularly encouraged, as well as reports of new and innovative methodologies.