Research On The Brain Network Of Resting-state Underlying CLM Cascading Failure Model

The human brain is one of the most complex system in the world.The research of complex network combining brain has been the issue of brain science.With the purpose of analyzing the dynamics of complex of human brain and the spatiotemporal mechanism of brain,the disseration studies on Functional Magnetic Resonance Imaging(f MRI),focus the CLM cascading failure model,investigates the robustness of brain network of healthy people and the network of generalized tonic-clonic seizure(GTCS)and its potential focal area.Here,the cascading failure model in complex network triggered by local overloads,proliferating to downstream nodes and eventually leading to widespread effect.The human brian is of efficiency and dynamics,losing efficacy of one node may leading to cascading failure.Especially the node with the largest load,which would be corrupted instantaneously when it losing efficacy,and it's unknown how it influences the robustness of whole brain network.the resting-state f MRI data of healthy people were preprocessed firstly,The AAL atlas was adopted to divide the whole brain into 90 nodes and then we calculated the Pearson correlation coefficient between pairs of nodes.Secondly,we set a threshold to structure a binary logic network which could represent the functional connectivity of whole brain.The tolerance parameter was set finally so as to assignment the capacity of every node and the node with largest load was attacked underlying the cascading failure.With the analyzing of dozens of brain network characteristics after attacking,the research shows network of brain presents a stable topology and a strong robustness when against the cascading failure.Because of the abnormalities from focus area in GTCS,it would trigger the dynamic process that impacting on the whole brain,which is similar to the cascading failure.Based on this unknown dynamic process,this study proposes the hypothesis that CLM cascading failure model can simulate the onset of epilepsy and its dynamic transmission process.Because the node(left middle frontal)with largest load of GTCS carries the maximum information,it is easier to cause cascading failure.Therefore,the maximum brain region of the load in GTCS is chosen as the focal brain area when simulating the epileptic process.The node with the largest load in GTCS was chosen as the ROI(region of interest)firstly,then the functional connectivity with the whole brain in GTCS and healthy were done respectively,the result of GTCS and healthy controls were carried out by two-sample t method in order to assess whether the node with the largest load in GTCS had pathological basis or not.If the node with largest load in GTCS has clinical significance,this node was selected as the attacked node under the CLM cascading failure model in GTCS to simulate the disease process.We analyzed the efficiency of network it altered and the function of nodes with larger drop of efficiency in GTCS.This investigation indicated that the CLM cascading failure analysis was of great significance in pathological study and the left middle frontal may be the potential focal area in the process of GTCS of seizure.