title: Abnormal metabolic connectivity in the pilocarpine-induced epilepsy rat model: a multiscale network analysis based on persistent homology.
abstract: Temporal lobe epilepsy is associated with dysfunctional brain networks. Here we investigated metabolic connectivity in the pilocarpine-induced epilepsy rat model and applied a new multiscale framework to the analysis of metabolic networks of small-animal brains. [(18)F]fluorodeoxyglucose PET was acquired in pilocarpine-induced chronic epilepsy rats and controls to yield interregional metabolic correlation by inter-subject manner. When interregional correlation of epilepsy rats and controls was compared directly, the epilepsy rats showed reduced connectivity involving the left amygdala and left entorhinal cortex. When regional graph properties were calculated to characterize abnormal nodes in the epileptic brain network, the epilepsy rats showed reduced nodal and local efficiencies in the left amygdala. Then, a new multiscale framework, persistent brain network homology, was used to examine metabolic connectivity with a threshold-free approach and the difference between two networks was analyzed using single linkage distances (SLDs) of all pairwise nodes. We found a tendency for longer SLDs between the left insula/left amygdala and bilateral cortical/subcortical structures in the epilepsy rats. Persistent brain network homology analysis as well as interregional correlation study implied the abnormal left limbic-paralimbic-neocortical network in the pilocarpine-induced epilepsy rat models. In conclusion, we found a globally disrupted network in the epileptic brain in rats, particularly in the limbic and paralimbic structures by direct comparison, graph properties and multiscale network analysis. These results demonstrate that the multiscale and threshold-free network analysis can be used to find the network abnormality in small-animal brains as a preclinical research.
authors.affiliation: Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.
authors.forename: Hongyoon
authors.initials: H
authors.lastname: Choi
authors.affiliation: Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Nuclear Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
authors.forename: Yu Kyeong
authors.initials: YK
authors.lastname: Kim
authors.affiliation: Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
authors.forename: Hyejin
authors.initials: H
authors.lastname: Kang
authors.affiliation: Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
authors.forename: Hyekyoung
authors.initials: H
authors.lastname: Lee
authors.affiliation: Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.
authors.forename: Hyung-Jun
authors.initials: HJ
authors.lastname: Im
authors.affiliation: Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Institute of Radiation Medicine, Medical Research Center, Seoul, Republic of Korea.
authors.forename: Do Won
authors.initials: DW
authors.lastname: Hwang
authors.affiliation: Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.
authors.forename: E Edmund
authors.initials: EE
authors.lastname: Kim
authors.affiliation: Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
authors.forename: June-Key
authors.initials: JK
authors.lastname: Chung
authors.affiliation: Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea. Electronic address: dsl@plaza.snu.ac.kr.
authors.forename: Dong Soo
authors.initials: DS
authors.lastname: Lee
mesh_terms: D000465:Algorithms; D000818:Animals; D003292:Convulsants; D004833:Epilepsy, Temporal Lobe / Q000139:chemically induced / Q000378:metabolism*; D019788:Fluorodeoxyglucose F18; D007091:Image Processing, Computer-Assisted; D008032:Limbic System / Q000000981:diagnostic imaging; D008297:Male; D019579:Neocortex / Q000000981:diagnostic imaging; D009415:Nerve Net / Q000378:metabolism*; D010862:Pilocarpine; D049268:Positron-Emission Tomography; D019275:Radiopharmaceuticals; D051381:Rats; D017207:Rats, Sprague-Dawley
chemical_list: D003292:Convulsants; D019275:Radiopharmaceuticals; D010862:Pilocarpine; D019788:Fluorodeoxyglucose F18
keywords: Epilepsy; FDG PET; Graph theory; Metabolic connectivity; Persistent homology