Kang Min Park1, Kyoo Ho Cho2, Ho-Joon Lee3, Kyoung Heo2, Byung In Lee1, Sung Eun Kim4. 1. Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-ro 875, Haeundae-gu, Busan, 48108, South Korea. 2. Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea. 3. Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea. 4. Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-ro 875, Haeundae-gu, Busan, 48108, South Korea. epidoc@inje.ac.kr.
Abstract
OBJECTIVE: Growing evidence has suggested that epilepsy is a disease with alterations in brain connectivity. The aim of this study was to investigate whether the changes in brain connectivity can predict the response to an antiepileptic drug (AED) in patients with a newly diagnosed focal epilepsy of unknown etiology. METHODS: This observational study was independently performed at two tertiary hospitals (Group A and B). Thirty-eight patients with newly diagnosed focal epilepsy of unknown etiology were enrolled in Group A and 46 patients in Group B. We divided these patients into two groups according to their seizure control after AED treatment: AED good and poor responders. We defined the AED good responders as those in whom had seizure free for at least the last 6 months while AED poor responders who were not. All of the subjects underwent diffusion tensor imaging, and graph theoretical analysis was applied to reveal the brain connectivity. We investigated the difference in the clinical characteristics and network measurements between the two groups. RESULTS: Of the network measures, the assortativity coefficient in the AED good responders was significantly higher than that in the AED poor responders in both Groups A and B (- 0.0239 vs. - 0.0473, p = 0.0110 in Group A; 0.0173 vs. - 0.0180, p = 0.0024 in Group B). The Kaplan-Meier survival analysis revealed that the time to failure to retain the first AED was significantly longer in the patients with assortative networks (assortativity coefficient > 0) than in those with disassortative networks (assortativity coefficient < 0) in Group B. CONCLUSION: We demonstrated that the assortativity coefficient differed between patients with newly diagnosed focal epilepsy of unknown etiology according to their AED responses, which suggests that the changes in brain connectivity could be a biomarker for predicting the responses to AED.
OBJECTIVE: Growing evidence has suggested that epilepsy is a disease with alterations in brain connectivity. The aim of this study was to investigate whether the changes in brain connectivity can predict the response to an antiepileptic drug (AED) in patients with a newly diagnosed focal epilepsy of unknown etiology. METHODS: This observational study was independently performed at two tertiary hospitals (Group A and B). Thirty-eight patients with newly diagnosed focal epilepsy of unknown etiology were enrolled in Group A and 46 patients in Group B. We divided these patients into two groups according to their seizure control after AED treatment: AED good and poor responders. We defined the AED good responders as those in whom had seizure free for at least the last 6 months while AED poor responders who were not. All of the subjects underwent diffusion tensor imaging, and graph theoretical analysis was applied to reveal the brain connectivity. We investigated the difference in the clinical characteristics and network measurements between the two groups. RESULTS: Of the network measures, the assortativity coefficient in the AED good responders was significantly higher than that in the AED poor responders in both Groups A and B (- 0.0239 vs. - 0.0473, p = 0.0110 in Group A; 0.0173 vs. - 0.0180, p = 0.0024 in Group B). The Kaplan-Meier survival analysis revealed that the time to failure to retain the first AED was significantly longer in the patients with assortative networks (assortativity coefficient > 0) than in those with disassortative networks (assortativity coefficient < 0) in Group B. CONCLUSION: We demonstrated that the assortativity coefficient differed between patients with newly diagnosed focal epilepsy of unknown etiology according to their AED responses, which suggests that the changes in brain connectivity could be a biomarker for predicting the responses to AED.
Authors: Sean N Hatton; Khoa H Huynh; Leonardo Bonilha; Eugenio Abela; Saud Alhusaini; Andre Altmann; Marina K M Alvim; Akshara R Balachandra; Emanuele Bartolini; Benjamin Bender; Neda Bernasconi; Andrea Bernasconi; Boris Bernhardt; Núria Bargallo; Benoit Caldairou; Maria E Caligiuri; Sarah J A Carr; Gianpiero L Cavalleri; Fernando Cendes; Luis Concha; Esmaeil Davoodi-Bojd; Patricia M Desmond; Orrin Devinsky; Colin P Doherty; Martin Domin; John S Duncan; Niels K Focke; Sonya F Foley; Antonio Gambardella; Ezequiel Gleichgerrcht; Renzo Guerrini; Khalid Hamandi; Akari Ishikawa; Simon S Keller; Peter V Kochunov; Raviteja Kotikalapudi; Barbara A K Kreilkamp; Patrick Kwan; Angelo Labate; Soenke Langner; Matteo Lenge; Min Liu; Elaine Lui; Pascal Martin; Mario Mascalchi; José C V Moreira; Marcia E Morita-Sherman; Terence J O'Brien; Heath R Pardoe; José C Pariente; Letícia F Ribeiro; Mark P Richardson; Cristiane S Rocha; Raúl Rodríguez-Cruces; Felix Rosenow; Mariasavina Severino; Benjamin Sinclair; Hamid Soltanian-Zadeh; Pasquale Striano; Peter N Taylor; Rhys H Thomas; Domenico Tortora; Dennis Velakoulis; Annamaria Vezzani; Lucy Vivash; Felix von Podewils; Sjoerd B Vos; Bernd Weber; Gavin P Winston; Clarissa L Yasuda; Alyssa H Zhu; Paul M Thompson; Christopher D Whelan; Neda Jahanshad; Sanjay M Sisodiya; Carrie R McDonald Journal: Brain Date: 2020-08-01 Impact factor: 13.501
Authors: Dong Ah Lee; Bong Soo Park; Junghae Ko; Si Hyung Park; Jin-Han Park; Il Hwan Kim; Yoo Jin Lee; Kang Min Park Journal: Brain Behav Date: 2022-02-02 Impact factor: 2.708