Jiang Lu-Wei, Qian Ruo-Bing, Fu Xian-Ming, Zhang Dong, Peng Nan, Niu Chao-Shi, Wang Ye-Han
Department of Neurosurgery, The First Affiliated Hospital of USTC, Anhui Provincial Hospital Affiliated to Anhui Medical University, 17 Lujiang Road, Hefei, Anhui Province 230001, China; School of Neurosurgery, Anhui Medical University, 81 Meishan Road, Hefei, Anhui Province 230032, China.
Department of Neurosurgery, The First Affiliated Hospital of USTC, Anhui Provincial Hospital Affiliated to Anhui Medical University, 17 Lujiang Road, Hefei, Anhui Province 230001, China; Anhui Provincial Institute of Stereotactic Neurosurgery, 9 Lujiang Road, Hefei, Anhui Province 230001, China.
Epilepsy Behav. 2018 Nov;88:81-86. doi: 10.1016/j.yebeh.2018.06.045. Epub 2018 Sep 19.
Epilepsy is considered a disorder of neural networks. Patients diagnosed with refractory epilepsy frequently experience attention impairments. Seizure activity in epilepsy may disturb brain networks and damage the brain function of attention. The aims of this study were to assess functional and causal connectivities of the attention networks and default mode network using resting-state functional magnetic resonance imaging (fMRI).
Resting-state fMRI data were gathered from 19 patients with refractory epilepsy (mixed localization and aetiologies) and 21 healthy people. The fMRI data were analyzed by group independent component analysis (ICA) fMRI toolbox to extract dorsal attention network (DAN), ventral attention network (VAN), and default mode network (DMN). The components of the selected networks were compared between patients and healthy controls to explore the change in functional connectivity (FC). Granger causality analysis was performed by taking the aforementioned significant brain areas as regions of interest (ROIs) to calculate autoregression coefficients of each pair of ROIs. Comparisons were done to find the significantly different causal connectivity when FC was changed between patients and healthy controls.
In DAN, the FC values of the bilateral frontal eye field (FEF) and left intraparietal sulcus (IPS) were decreased. In VAN, the FC values of the double-side ventral prefrontal cortex (vPFC) and the temporoparietal junction (TPJ) were reduced. As for DMN, the FC values of the bilateral medial prefrontal cortices (mPFC) were decreased whereas those for the bilateral precuneus (PCUN) were increased. Granger causal connectivity values were correlated: causal influence was decreased significantly from the left IPS (in DAN) to the double side of the vPFC but remained the same for the right FEF (in DAN) to the right TPJ. The value was decreased from the left PCUN (in DMN) to the right TPJ and FEF, and the causal flow from the right PCUN to the right TPJ and bilateral vPFC was also significantly inhibited (p < 0.05).
Frequent seizures in patients with refractory epilepsy may damage the cortex and disturb DAN, VAN, and DMN, leading to functional and causal connectivity alteration. In addition, epileptic activity may disrupt network interactions and further influence information communication.
癫痫被认为是一种神经网络疾病。被诊断为难治性癫痫的患者经常出现注意力障碍。癫痫中的癫痫发作活动可能会干扰脑网络并损害注意力的脑功能。本研究的目的是使用静息态功能磁共振成像(fMRI)评估注意力网络和默认模式网络的功能及因果连接性。
收集了19例难治性癫痫患者(混合定位和病因)和21名健康人的静息态fMRI数据。使用组独立成分分析(ICA)fMRI工具箱对fMRI数据进行分析,以提取背侧注意力网络(DAN)、腹侧注意力网络(VAN)和默认模式网络(DMN)。比较患者和健康对照之间所选网络的成分,以探索功能连接性(FC)的变化。通过将上述重要脑区作为感兴趣区域(ROI)进行格兰杰因果分析,计算每对ROI的自回归系数。进行比较以找出患者和健康对照之间FC变化时显著不同的因果连接性。
在DAN中,双侧额眼区(FEF)和左侧顶内沟(IPS)的FC值降低。在VAN中,双侧腹侧前额叶皮质(vPFC)和颞顶联合区(TPJ)的FC值降低。至于DMN,双侧内侧前额叶皮质(mPFC)的FC值降低,而双侧楔前叶(PCUN)的FC值升高。格兰杰因果连接值相关:从左侧IPS(在DAN中)到双侧vPFC的因果影响显著降低,但右侧FEF(在DAN中)到右侧TPJ的因果影响保持不变。该值从左侧PCUN(在DMN中)到右侧TPJ和FEF降低,并且从右侧PCUN到右侧TPJ和双侧vPFC的因果流也被显著抑制(p<0.05)。
难治性癫痫患者频繁发作可能会损害皮质并干扰DAN、VAN和DMN,导致功能和因果连接性改变。此外,癫痫活动可能会破坏网络交互并进一步影响信息交流。