Indirect structural changes and reduced controllability after temporal lobe epilepsy resection

Abstract

AbstractObjectiveTo understand the potential behavioral and cognitive effects of mesial temporal resection for temporal lobe epilepsy (TLE) a method is required to characterize network‐wide functional alterations caused by a discrete structural disconnection. The objective of this study was to investigate network‐wide alterations in brain dynamics of patients with TLE before and after surgical resection of the seizure focus using average regional controllability (ARC), a measure of the ability of a node to influence network dynamics.MethodsDiffusion‐weighted imaging (DWI) data were acquired in 27 patients with drug‐resistant unilateral mesial TLE who underwent selective amygdalohippocampectomy. Imaging data were acquired before and after surgery and a presurgical and postsurgical structural connectome was generated from whole‐brain tractography. Edge‐wise strength, node strength, and node ARC were compared before and after surgery. Direct and indirect edge‐wise strength changes were identified using patient‐specific simulated resections. Direct edges were defined as primary edges disconnected by the resection zone itself. Indirect edges were secondary measured edge strength changes. Changes in node strength and ARC were then related to both direct and indirect edge changes.ResultsWe found nodes with significant postsurgical changes in both node strength and ARC surrounding the resection zone (paired t tests, p < .05, Bonferroni corrected). ARC identified additional postsurgical changes in nodes outside of the resection zone within the ipsilateral occipital lobe, which were associated with indirect edge‐wise strength changes of the postsurgical network (Fisher's exact test, p < .001). These indirect edge‐wise changes were facilitated through the “hub” nodes including the thalamus, putamen, insula, and precuneus.SignificanceDiscrete network disconnection from TLE resection results in widespread structural and functional changes not predicted by disconnection alone. These can be well characterized by dynamic controllability measures such as ARC and may be useful for investigating changes in brain function that may contribute to seizure recurrence and behavioral or cognitive changes after surgery.