Wang Yucheng, Jin Zhishuai, Huyang Sizhu, Lian Qiaoping, Wu Daxing
Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Medical Psychological Institute of Central South University, Changsha, Hunan, China.
CNS Neurosci Ther. 2024 Dec;30(12):e70174. doi: 10.1111/cns.70174.
Previous studies suggested that structural and functional connectivity of right frontotemporal circuits associate with music perception. Emerging evidences demonstrated that structure-function coupling is important for cognition and may allow for a more sensitive investigation of brain-behavior association, while we know little about the relationship between structure-function coupling and music perception.
We collected multimodal neuroimaging data from 106 participants and measured their music perception by Montreal Battery of Evaluation of Amusia (MBEA). Then we computed structure-function coupling, amplitude of low-frequency fluctuation (ALFF), gray matter volume (GMV), and structural/functional degree centrality (DC) and utilized support vector regression algorithm to build their relationship with MBEA score.
We found structure-function coupling, rather than GMV, ALFF, or DC, contributed to predict MBEA score. Left middle frontal gyrus (L.MFG), bilateral inferior temporal gyrus, and right insula were the most predictive ROIs for MBEA score. Mediation analysis revealed structure-function coupling of L.MFG, a region that is homologous to typical music circuits, fully mediated the negative link between ALFF of L.MFG and MBEA score.
Structure-function coupling is more effective when explaining variation in music perception. Our findings provide further understanding for the neural basis of music and have implications for cognitive causes of amusia.
先前的研究表明,右侧额颞叶回路的结构和功能连接与音乐感知相关。新出现的证据表明,结构 - 功能耦合对认知很重要,并且可能允许对脑 - 行为关联进行更敏感的研究,而我们对结构 - 功能耦合与音乐感知之间的关系知之甚少。
我们收集了106名参与者的多模态神经影像数据,并通过蒙特利尔失歌症评估量表(MBEA)测量他们的音乐感知。然后我们计算了结构 - 功能耦合、低频波动幅度(ALFF)、灰质体积(GMV)和结构/功能度中心性(DC),并利用支持向量回归算法建立它们与MBEA分数的关系。
我们发现结构 - 功能耦合而非GMV、ALFF或DC有助于预测MBEA分数。左侧额中回(L.MFG)、双侧颞下回和右侧脑岛是预测MBEA分数最具预测性的感兴趣区域。中介分析显示,与典型音乐回路同源的L.MFG区域的结构 - 功能耦合完全介导了L.MFG的ALFF与MBEA分数之间的负相关。
在解释音乐感知的变化时,结构 - 功能耦合更有效。我们的研究结果为音乐的神经基础提供了进一步的理解,并对失歌症的认知原因具有启示意义。