Boraxbekk Carl-Johan, Salami Alireza, Wåhlin Anders, Nyberg Lars
Center for Demographic and Aging Research (CEDAR), Umeå University, 901 87 Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 901 87 Umeå, Sweden.
Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 901 87 Umeå, Sweden; Aging Research Center (ARC), Karolinska Institute, Stockholm, Sweden.
Neuroimage. 2016 May 1;131:133-41. doi: 10.1016/j.neuroimage.2015.12.010. Epub 2015 Dec 15.
One step toward healthy brain aging may be to entertain a physically active lifestyle. Studies investigating physical activity effects on brain integrity have, however, mainly been based on single brain markers, and few used a multimodal imaging approach. In the present study, we used cohort data from the Betula study to examine the relationships between scores reflecting current and accumulated physical activity and brain health. More specifically, we first examined if physical activity scores modulated negative effects of age on seven resting state networks previously identified by Salami, Pudas, and Nyberg (2014). The results revealed that one of the most age-sensitive RSN was positively altered by physical activity, namely, the posterior default-mode network involving the posterior cingulate cortex (PCC). Second, within this physical activity-sensitive RSN, we further analyzed the association between physical activity and gray matter (GM) volumes, white matter integrity, and cerebral perfusion using linear regression models. Regions within the identified DMN displayed larger GM volumes and stronger perfusion in relation to both current and 10-years accumulated scores of physical activity. No associations of physical activity and white matter integrity were observed. Collectively, our findings demonstrate strengthened PCC-cortical connectivity within the DMN, larger PCC GM volume, and higher PCC perfusion as a function of physical activity. In turn, these findings may provide insights into the mechanisms of how long-term regular exercise can contribute to healthy brain aging.
迈向健康大脑衰老的一步可能是保持积极的身体活动生活方式。然而,研究身体活动对大脑完整性影响的研究主要基于单一的大脑标志物,很少使用多模态成像方法。在本研究中,我们使用了来自桦树研究的队列数据,以检验反映当前和累积身体活动的分数与大脑健康之间的关系。更具体地说,我们首先检查了身体活动分数是否调节了年龄对Salami、Pudas和Nyberg(2014年)先前确定的七个静息状态网络的负面影响。结果显示,对年龄最敏感的静息态网络之一因身体活动而得到积极改变,即涉及后扣带回皮质(PCC)的后默认模式网络。其次,在这个对身体活动敏感的静息态网络中,我们使用线性回归模型进一步分析了身体活动与灰质(GM)体积、白质完整性和脑灌注之间的关联。与当前和10年累积身体活动分数相关,在确定的默认模式网络内的区域显示出更大的灰质体积和更强的灌注。未观察到身体活动与白质完整性之间的关联。总体而言,我们的研究结果表明,作为身体活动的一个函数,默认模式网络内后扣带回皮质与皮质之间的连接得到加强,后扣带回皮质灰质体积增大,后扣带回皮质灌注增加。反过来,这些发现可能为长期规律运动如何促进健康大脑衰老的机制提供见解。