METHODS: Eligibility of 161 adults (mean age = 48.6, SD = 18.3, 68% female) was based upon completion of resting state brain scan and sub-maximal bike test. Sliding window analysis of the resting state signal was conducted over 45-s windows, with 50% overlap, to assess how changes in photoplethysmography-derived HRV relate to vmPFC functional connectivity with the whole brain. CC was assessed based upon heart rate (HR) changes during submaximal exercise (HR change /HRmax (206-0.88 × age) - HRrest).
RESULTS: During states of elevated HRV the vmPFC showed greater rsFC with an 83-voxel region of the hypothalamus (p < 0.001, uncorrected). Beta estimates of vmPFC connectivity extracted from a 6-mm sphere around this region emerged as the strongest predictor of CC (b = 0.283, p <.001) than age, BMI, and resting HRV F(8,144) = 6.30, p <.001.
CONCLUSIONS: Extensive glutamatergic innervation of the hypothalamus by the vmPFC allows for top-down control of the hypothalamus and its various autonomic efferents which facilitate chronotropic response during sub-maximal exercise.
方法:161名成年人(平均年龄=48.6,SD=18.3,68%为女性)的资格基于完成静息状态脑扫描和次最大自行车测试。在45-s窗口上进行静息状态信号的滑动窗口分析,有50%的重叠,评估光电体积描记术衍生的HRV的变化如何与vmPFC与整个大脑的功能连接相关。根据次最大运动期间的心率(HR)变化(HR变化/HRmax(206-0.88×年龄)-HRrest)评估CC。
结果:在HRV升高的状态下,vmPFC显示出更大的rsFC,下丘脑的83体素区域(p<0.001,未校正)。从该区域周围的6毫米球体中提取的vmPFC连通性的Beta估计是CC的最强预测指标(b=0.283,p<.001),BMI,静息HRVF(8,144)=6.30,p<.001。
结论:vmPFC对下丘脑的广泛谷氨酸能神经支配允许自上而下控制下丘脑及其各种自主神经传出,从而促进亚最大运动期间的变时反应。