论文标题

大脑结构可以介导或缓和行为与大脑功能和转录组的关系。一项初步研究

Brain structure can mediate or moderate the relationship of behavior to brain function and transcriptome. A preliminary study

论文作者

Bari, Sumra, Vike, Nicole L, Stetsiv, Khrystyna, Blood, Anne J, Nauman, Eric A, Talavage, Thomas M, Slobounov, Semyon, Breiter, Hans C

论文摘要

可以使用虚拟现实(VR)技术来量化脑震荡和头部加速事件(HAE)的运动控制行为异常。运动控制的行为一直始终使用结构(SMRI)和功能性MRI(fMRI)映射到大脑的躯体运动网络(SM)。但是,没有研究HABE综合HAE,运动控制行为,SMRI和FMRI措施。在此,假设对运动控制的大脑网络显示出基于拖拉术的扩散加权成像的变化[分数各向异性(DFA)的差异(DFA)]和静止状态fMRI(RS-FMRI)在整个赛季中的大学美式足球运动员中的静止状态(RS-FMRI)度量,这些度量与VR基于VR基于VR的运动型相关。我们对九个与炎症相关的miRNA是否与行为结构函数变量相关。使用基于置换的调解和节制方法,我们发现来自SM结构连接组(SM-DFA)的整个季节DFA介导了整个季节VR基于季节的感觉运动反应性(DSR)与RS-FMRI SM指纹相似性(P = 0.007和TEFF = 47%)。 DSR和SM-DFA之间的相互作用还预测了通过基于置换的适度分析的DMIRNA-30D跨季节水平的(PF = 0.036,PBETA3 = 0.058)。这些结果表明(1)运动控制与大脑结构和功能有反馈关系,(2)行为结构功能可以连接到HAE,并且(3)行为结构可以预测分子生物学测量。

Abnormalities in motor-control behavior, which have been with concussion and head acceleration events (HAE), can be quantified using virtual reality (VR) technologies. Motor-control behavior has been consistently mapped to the brain's somatomotor network (SM) using both structural (sMRI) and functional MRI (fMRI). However, no studies habe integrated HAE, motor-control behavior, sMRI and fMRI measures. Here, brain networks important for motor-control were hypothesized to show changes in tractography-based diffusion weighted imaging [difference in fractional anisotropy (dFA)] and resting-state fMRI (rs-fMRI) measures in collegiate American football players across the season, and that these measures would relate to VR-based motor-control. We firther tested if nine inflammation-related miRNAs were associated with behavior-structure-function variables. Using permutation-based mediation and moderation methods, we found that across-season dFA from the SM structural connectome (SM-dFA) mediated the relationship between across-season VR-based Sensory-motor Reactivity (dSR) and rs-fMRI SM fingerprint similarity (p = 0.007 and Teff = 47%). The interaction between dSR and SM-dFA also predicted (pF = 0.036, pbeta3 = 0.058) across-season levels of dmiRNA-30d through permutation-based moderation analysis. These results suggest (1) that motor-control is in a feedback relationship with brain structure and function, (2) behavior-structure-function can be connected to HAE, and (3) behavior-structure might predict molecular biology measures.

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