Objective: To evaluate if focal cortical dysplasia (FCD) co-localization to cortical functional networks is associated with the temporal distribution of epilepsy onset in FCD. Methods: International (20 center), retrospective cohort from the Multi-centre Epilepsy Lesion Detection project. Patients included if >3y, had 3D-preoperative-T1 MRI (1.5 or 3T) with radiologic or histopathologic FCD after surgery. Images processed using MELD protocol, masked with 3D regions-of-interest (ROI) and co-registered to fsaverage_sym (symmetric template). FCDs were then co-localized to one of seven distributed functional cortical networks. Negative binomial regression evaluated effect of FCD size, network, histology, and sulcal depth on age of epilepsy onset. From this model, predictive age of epilepsy onset was calculated for each network. Results: 388 patients had median age seizure onset 5y (IQR 3-11y), median age at preoperative scan 18y (IQR 11-28y). FCDs co-localized to the following networks: limbic (90), default mode (87), somatomotor (65), frontoparietal control (52), ventral attention (32), dorsal attention (31), and visual (31). Larger lesions were associated with younger age of onset (p=0.01); age of epilepsy onset was associated with dominant network (p=0.04) but not sulcal depth or histology. Sensorimotor networks had youngest onset; the limbic network had oldest age of onset (ps <0.05). Interpretation: FCD co-localization to distributed functional cortical networks is associated with age of epilepsy onset: sensory neural networks (somatomotor, visual) with earlier onset, and limbic latest onset. These variations may reflect developmental differences in synaptic/white matter maturation or network activation and may provide a biological basis for age-dependent epilepsy onset expression. This article is protected by copyright. All rights reserved.

Networks underlie temporal onset of dysplasia-related epilepsy- a MELD study / Cohen, Nathan T; You, Xiaozhen; Krishnamurthy, Manu; Sepeta, Leigh N; Zhang, Anqing; Oluigbo, Chima; Whitehead, Matthew T; Gholipour, Taha; Baldeweg, Torsten; Wagstyl, Konrad; Adler, Sophie; Gaillard, William D; Mathilde Ripart, Kirstie Whitaker, Antonio Napolitano, Luca De Palma, Alessandro De Benedictis, Stephen Foldes, Zachary Humphreys, Kai Zhang, Wenhan Hu, Jiajie Mo, Marcus Likeman, Shirin Davies, Christopher Güttler, Matteo Lenge, Nathan T Cohen, Yingying Tang, Shan Wang, Aswin Chari, Martin Tisdall, Nuria Bargallo, Estefanía Conde-Blanco, Jose Carlos Pariente, Saül Pascual-Diaz, Ignacio Delgado-Martínez, Carmen Pérez-Enríquez, Ilaria Lagorio, Eugenio Abela, Nandini Mullatti, Jonathan O'Muircheartaigh, Katy Vecchiato, Yawu Liu, Maria Eugenia Caligiuri, Ben Sinclair, Lucy Vivash, Anna Willard, Jothy Kandasamy, Ailsa McLellan, Drahoslav Sokol, Mira Semmelroch, Ane G Kloster, Giske Opheim, Letícia Ribeiro, Clarissa Yasuda, Camilla Rossi-Espagnet, Khalid Hamandi, Anna Tietze, Carmen Barba, Renzo Guerrini, William Davis Gaillard, Xiaozhen You, Irene Wang, Sofía González-Ortiz, Mariasavina Severino, Pasquale Striano, Domenico Tortora, Reetta Kälviäinen, Antonio Gambardella, Angelo Labate, Patricia Desmond, Elaine Lui, Terence O'Brien, Jay Shetty, Graeme Jackson, John S Duncan, Gavin Winston, Lars H Pinborg, Fernando Cendes, J Helen Cross, Torsten Baldeweg, Sophie Adler, Konrad Wagstyl. - In: ANNALS OF NEUROLOGY. - ISSN 0364-5134. - ELETTRONICO. - (2022), pp. 0-0. [10.1002/ana.26442]

Networks underlie temporal onset of dysplasia-related epilepsy- a MELD study

Matteo Lenge
Membro del Collaboration Group
;
Carmen Barba
Membro del Collaboration Group
;
Renzo Guerrini
Membro del Collaboration Group
;
2022

Abstract

Objective: To evaluate if focal cortical dysplasia (FCD) co-localization to cortical functional networks is associated with the temporal distribution of epilepsy onset in FCD. Methods: International (20 center), retrospective cohort from the Multi-centre Epilepsy Lesion Detection project. Patients included if >3y, had 3D-preoperative-T1 MRI (1.5 or 3T) with radiologic or histopathologic FCD after surgery. Images processed using MELD protocol, masked with 3D regions-of-interest (ROI) and co-registered to fsaverage_sym (symmetric template). FCDs were then co-localized to one of seven distributed functional cortical networks. Negative binomial regression evaluated effect of FCD size, network, histology, and sulcal depth on age of epilepsy onset. From this model, predictive age of epilepsy onset was calculated for each network. Results: 388 patients had median age seizure onset 5y (IQR 3-11y), median age at preoperative scan 18y (IQR 11-28y). FCDs co-localized to the following networks: limbic (90), default mode (87), somatomotor (65), frontoparietal control (52), ventral attention (32), dorsal attention (31), and visual (31). Larger lesions were associated with younger age of onset (p=0.01); age of epilepsy onset was associated with dominant network (p=0.04) but not sulcal depth or histology. Sensorimotor networks had youngest onset; the limbic network had oldest age of onset (ps <0.05). Interpretation: FCD co-localization to distributed functional cortical networks is associated with age of epilepsy onset: sensory neural networks (somatomotor, visual) with earlier onset, and limbic latest onset. These variations may reflect developmental differences in synaptic/white matter maturation or network activation and may provide a biological basis for age-dependent epilepsy onset expression. This article is protected by copyright. All rights reserved.
2022
0
0
Cohen, Nathan T; You, Xiaozhen; Krishnamurthy, Manu; Sepeta, Leigh N; Zhang, Anqing; Oluigbo, Chima; Whitehead, Matthew T; Gholipour, Taha; Baldeweg, ...espandi
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1274533
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 9
social impact