Research On The Characteristics Of Brain Network Based On Resting-state Electroencephalography In Acute Ischemic Stroke Syndrome

Objective:Based on the research method of the resting state EEG to construct the brain network,this paper conducts an exploratory analysis of the differences of topological attributes and the changes in the functional connectivity of the EEG brain network in different frequency bands of the deficiency and excess type of syndrome in patients with acute ischemic stroke,to find out the specific difference parameter of the deficiency and excess type of syndrome on the brain functional network.Methods:The paper collected 41 acute ischemic stroke patients who met the diagnostic criteria,inclusion criteria,and exclusion criteria,and were hospitalized in the First Department of Encephalopathy in Dongzhimen Hospital from June 2016 to February 2021.The collection of patient's personal information,the evaluation of the National Institutes of Health Stroke Scale(NIHSS)score,ischemic stroke syndrome element diagnosis scale,and stroke syndrome quantitative diagnosis table,and the examination of MRI were completed within 3 days after admission,and the EEG examination was done within seven days.According to the participants's diagnostic scale for ischemic stroke syndrome elements,the participants with Qi-deficiency and Yin-deficiency syndrome elements were classified into the deficiency-excess syndrome group(hereinafter referred to as the deficiency type of syndrome group,DSG),and participants without Qi-deficiency and Yin-deficiency syndrome elements were categorized into the pure excess without deficiency group(hereinafter referred to as the excess type of syndrome group,ESG).Besides,20 age-and gender-matched participants who met the enrollment criteria were recruited into the normal control group(NCG),and only the EEG examination was completed on them.EEG data were preprocessed by BESA,then were imported into MATLAB software to use Fieldtrip toolkit for source analysis to calculate the debiased weightd phase lag index(dwPLI)using the 34 regions of interest of Thomas Yeo's 7-17 brain network mask.The dwPLI was used as the functional connectivity index to construct the large scale brain network in different frequency bands.Then the topological attributes of brain network-including the global parameters(global efficiency,average local efficiency)and the local nodal parameters(degree centrality,betweenness centrality,node efficiency,node local efficiency)-were calculated by graph theoretical network analysis software.Finally,the topological attributes and the connectivity of brain functional network in different frequency bands were compared and analyzed.Results:1.There was no difference in age,gender,course of disease and past medical history between DSG,ESG and NCG(P>0.05);NIHSS score of deficiency syndrome group was higher than that of ESG(P<0.05);The Qi deficiency syndrome in DSG was significantly higher than that in ESG(P<0.05);In DSG,the lesions were mainly distributed in the posterior limb of internal capsule,while in ESG,the lesions were mainly distributed in the corona radiata;2.Compared with the NCG,the topological attributes of DSG and ESG decreased in varying degrees.Global parameter:the global efficiency of DSG(?1 band),local efficiency(?2 band)was significantly lower than that of NCG;Local node parameter:the default mode network(DMN),dorsal attention network(DAN),salience network(SN),sensorimotor network(SMN)and visual network(VN)of the two syndrome groups were lower than those of NCG.The difference of area under curve(AUV)was statistically significant including:the degree centrality of DMN of ESG was lower than that of DSG(? band),the node local efficiency of DAN of DSG was lower than that of NCG(? band),the degree centrality of SMN of DSG was lower than that of ESG(? band),the degree centrality of VN of DSG was lower than that of ESG(? band)(the results above were corrected by FDR,P<0.05).4.Differences of the intra-connectivity of brain network:the intra-connectivity of executive control network(ECN)(? band),DAN(? band),DMN(?,?2,? band)and SMN(? band)of DSG was lower than that of NCG,the intra-connectivity of ECN(?1,? band),DAN(? band),DMN(?2 band)and VN(? band)of ESG was significantly lower than that of DSG(without FDR correction,P<0.01).Differences of inter-connectivity of brain networks:?Comparison in between NCG and DSG:the connection between L-SMN-1 area(referring to the left sensorimotor network area 1)and L-SN-1 area,L-SN-2 area in DSG was significantly lower than that in NCG(? band);The connection of R-SN-1 with L-DMN-2,L-DAN-1 and L-VN-2 in DSG was significantly lower than that in NCG(? band).?Comparison in between NCG and ESG:the connectivity of R-LN-2(right limbic network 2)and L-VN-1 in ESG was significantly lower than that in NCG(?2 band);The connectivity of R-DMN-1 and R-SMN-2 in ESG was significantly lower than that in NCG(? band);?Comparison in between DSG and ESG:the connectivity of L-ECN-1,L-SMN-1,L-DAN-2,R-ECN-1 and L-SMN-1 in DSG was significantly lower than that in ESG(? band);The connectivity between L-DMN-2 and L-ECN-2,3 in ESG was significantly lower than that in DSG(? band)(without FDR correction,P<0.001).Conclusion:1.In the acute stage of ischemic stroke patients with deficiency type of syndrome,Qi deficiency syndrome elements suggest that there is more serious neurological deficit,and suggest poor prognosis.In the clinical treatment of acute stage of stroke,we should pay attention to the identification of qi deficiency syndrome and the use of Qi tonifying drugs.As for patients with excess type of syndrome,the lesion mainly distributed in the corona radiata,which means that the clinical symptoms are more unstable,the disease tends to fluctuate,and intervention should be identified in time to prevent changes 2.Compared with normal people,the topological attributes of brain network of patients with deficiency type of syndrome of ischemic stroke in acute stage showed a more extensive and varying degrees of reduction.The global efficiency and local efficiency of DSG and ESG were lower than those of NCG,and there were more significant differences between DSG and NCG;Node local efficiency of DAN(? band)and degree centrality of VN(? band)in DSG were lower than that in NCG;The degree centrality of DMN(? band)in ESG was significantly lower than that in DSG,and the degree centrality of SMN(? band)in DSG was higher than that in ESG.3.Compared with the normal people,the patients in the acute stage of ischemic stroke showed a decrease in the internal connectivity of advanced cognitive function network,including DMN,ECN,DAN,and the decline of internal connectivity of DSG in SMN was more significant than that of ESG.The functional connectivity between ECN and SMN,DAN decreased significantly in patients with deficiency type of syndrome,and between ECN and DMN decreased significantly in patients with excess type of syndrome.