Department of Radiology, Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361006, China.
Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen 361100, China.
Dis Markers. 2022 Jun 3;2022:2501886. doi: 10.1155/2022/2501886. eCollection 2022.
This study is aimed at exploring the spontaneous brain activity changes by measuring the fractional amplitude of low-frequency fluctuations (fALFF) and their relationship with clinical characteristics in patients with coronary heart disease (CHD).
Coronary heart disease patients ( = 25) and age, gender, and education level-matched control subjects (controls, = 35) were included. The grey matter volume (GMV) and fALFF values were calculated to assess the difference in brain structure and function between the two groups, respectively. Correlation analyses between the fALFF values and clinical characteristics were further assessed in CHD patients. In addition, receiver operating characteristic (ROC) curves were conducted to access the diagnostic ability of the fALFF method.
There was no significant difference in GMV between the CHD and control groups. Compared with the control group, patients with CHD showed significantly decreased fALFF in the left precentral/postcentral gyrus and increased fALFF in the right inferior cerebellum. Patients with a history of myocardial infarction (MI) showed significantly decreased fALFF values of the right inferior cerebellum than patients without MI. There was no significant correlation between the fALFF values in specific brain regions and disease duration. Furthermore, the ROC curves of abnormal brain regions showed the perfect accuracy of the fALFF value in distinguishing between CHD patients and controls.
CHD demonstrated aberrant neural activity in specific brain regions mainly related to sensorimotor networks and pain processing, which may contribute to understanding the underlying neurological mechanism of CHD.
本研究旨在通过测量低频振幅（fALFF）来探索冠心病患者自发脑活动变化，并探讨其与临床特征的关系。
纳入冠心病患者（n=25）和年龄、性别、教育程度匹配的对照组（n=35）。分别计算灰质体积（GMV）和 fALFF 值，以评估两组之间的脑结构和功能差异。进一步在冠心病患者中评估 fALFF 值与临床特征之间的相关性。此外，还进行了接收者操作特征（ROC）曲线分析，以评估 fALFF 方法的诊断能力。
冠心病组和对照组之间的 GMV 无显著差异。与对照组相比，冠心病患者左中央前回/中央后回的 fALFF 降低，右小脑下叶的 fALFF 升高。有心肌梗死（MI）病史的患者右小脑下叶的 fALFF 值明显低于无 MI 病史的患者。特定脑区的 fALFF 值与病程之间无显著相关性。此外，异常脑区的 ROC 曲线显示，fALFF 值在区分冠心病患者和对照组方面具有完美的准确性。
冠心病患者表现出特定脑区的异常神经活动，主要与感觉运动网络和疼痛处理有关，这可能有助于理解冠心病的潜在神经机制。
