Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio, United States.
School of Nursing, Indiana University, Indianapolis, Indiana, United States.
J Appl Physiol (1985). 2023 Nov 1;135(5):1062-1069. doi: 10.1152/japplphysiol.00425.2023. Epub 2023 Sep 28.
Although research has largely focused on the effects of physical activity (PA) on the brain, less is known about the influence of the brain on engagement in healthy-living behaviors, such as regular PA. In this secondary analysis of a study of brain activity and participation in healthy-living behaviors, we examined relationships between the activation of selected brain networks and PA in persons self-managing chronic conditions. Fifty-eight individuals with chronic conditions underwent functional magnetic resonance imaging while exposed to a protocol consisting of listening to emotion-focused and analytic-focused information and measures of activation of three neuromarkers were obtained: default mode network (DMN), task-positive network (TPN), and ventromedial prefrontal cortex (vmPFC). In an exploratory analysis, we assessed differences in neuromarker activation between two PA levels (representing higher and lower accelerometry-measured PA levels) of ) moderate-to-vigorous physical activity (MVPA) minutes, ) metabolic equivalents expended (METs), and ) daily steps. Results showed positive associations between MVPA and DMN ( = 0.31, = 0.018), steps and DMN ( = 0.28, = 0.035), and MVPA and vmPFC ( = 0.29, = 0.026). No associations were found between the TPN and any of the PA measures. Individuals with high MVPA and METs had higher DMN values compared with those with low MVPA ( = -2.17, = 0.035) and METs ( = -2.02, = 0.048). No differences in TPN and vmPFC were found among PA levels. These results suggest that providing health information that activates the emotion-focused brain network may be more useful than analytic-focused information (centered on logic and reasoning) to assist people with chronic conditions to engage in more PA. The influence of the brain on engagement in regular physical activity (PA) has not been well studied. We examined relationships between the activation of three neuromarkers and two PA levels in 58 persons self-managing chronic conditions. Findings suggest that individuals who optimally process health-information when the emotional tone is high (Empathic Network; DMN) may engage in more PA compared with individuals who respond to health information when the emotional tone is low (Analytic Network; TPN).
虽然研究主要集中在体力活动 (PA) 对大脑的影响上，但对于大脑对参与健康生活行为（如定期进行 PA）的影响知之甚少。在这项对大脑活动与健康生活行为参与关系的研究的二次分析中，我们研究了自我管理慢性病的个体的选定大脑网络激活与 PA 之间的关系。58 名患有慢性病的个体在接受包括听情绪聚焦和分析聚焦信息的方案时接受了功能磁共振成像，并且获得了三种神经标记物激活的测量结果：默认模式网络 (DMN)、任务正性网络 (TPN) 和腹内侧前额叶皮层 (vmPFC)。在探索性分析中，我们评估了两种 PA 水平（代表更高和更低的加速度计测量的 PA 水平）的神经标记物激活之间的差异）中等到剧烈的体力活动 (MVPA) 分钟，）代谢当量消耗 (METs)，和）每天步数。结果表明，MVPA 与 DMN 之间呈正相关（ = 0.31， = 0.018），步数与 DMN 之间呈正相关（ = 0.28， = 0.035），MVPA 与 vmPFC 之间呈正相关（ = 0.29， = 0.026）。TPN 与任何 PA 测量均无关联。MVPA 和 METs 较高的个体的 DMN 值高于 MVPA 较低的个体（ = -2.17， = 0.035）和 METs 较低的个体（ = -2.02， = 0.048）。PA 水平之间在 TPN 和 vmPFC 方面没有差异。这些结果表明，提供激活情绪聚焦大脑网络的健康信息可能比基于逻辑和推理的分析聚焦信息（侧重于逻辑和推理）更有助于慢性病患者进行更多的 PA。大脑对定期进行体力活动 (PA) 的影响尚未得到充分研究。我们检查了 58 名自我管理慢性病的个体的三种神经标记物激活与两种 PA 水平之间的关系。研究结果表明，与情绪基调低时（分析网络；TPN）对健康信息做出反应的个体相比，当情绪基调高时（共情网络；DMN）能够最佳处理健康信息的个体可能会进行更多的 PA。
