Rangaprakash D, Dretsch Michael N, Yan Wenjing, Katz Jeffrey S, Denney Thomas S, Deshpande Gopikrishna
AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA.
Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Data Brief. 2017 Jul 29;14:558-562. doi: 10.1016/j.dib.2017.07.072. eCollection 2017 Oct.
Functional magnetic resonance imaging (fMRI) is an indirect measure of brain activity, i.e. it is a convolution of the latent (unmeasured) neural signal and the hemodynamic response function (HRF). As such, the HRF has been shown to vary across brain regions and individuals. The shape of the HRF is controlled by both neural and non-neural factors. The shape of the HRF can be characterized by three parameters (response height, time-to-peak and full-width at half-max). The data presented here provides the three HRF parameters at every voxel, obtained from U.S. Army soldiers (=87) diagnosed with posttraumatic stress disorder (PTSD), with comorbid PTSD and mild-traumatic brain injury (mTBI), and matched healthy combat controls. Findings from this data and further interpretations are available in our recent research study (Rangaprakash et al., 2017) [1]. This data is a valuable asset in studying the impact of HRF variability on fMRI data analysis, specifically resting state functional connectivity.
功能磁共振成像(fMRI)是对大脑活动的一种间接测量,也就是说,它是潜在(未测量)神经信号与血液动力学响应函数(HRF)的卷积。因此,研究表明HRF在不同脑区和个体之间存在差异。HRF的形状受神经和非神经因素的共同控制。HRF的形状可以通过三个参数来表征(响应高度、峰值时间和半高宽)。这里呈现的数据提供了每个体素的三个HRF参数,这些数据来自被诊断患有创伤后应激障碍(PTSD)、同时患有PTSD和轻度创伤性脑损伤(mTBI)的美国陆军士兵(n = 87),以及匹配的健康战斗对照。我们最近的研究(Rangaprakash等人,2017年)[1]中提供了这些数据的研究结果及进一步解读。这些数据对于研究HRF变异性对fMRI数据分析(特别是静息态功能连接)的影响具有重要价值。