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55. Multimodal mapping of regional brain vulnerability to focal cortical dysplasia

Author

Lee, Hyo M, primary, Hong, Seok-Jun, additional, Gill, Ravnoor, additional, Caldairou, Benoit, additional, Wang, Irene, additional, Zhang, Jian-guo, additional, Deleo, Francesco, additional, Schrader, Dewi, additional, Bartolomei, Fabrice, additional, Guye, Maxime, additional, Cho, Kyoo Ho, additional, Barba, Carmen, additional, Sisodiya, Sanjay, additional, Jackson, Graeme, additional, Hogan, R Edward, additional, Wong-Kisiel, Lily, additional, Cascino, Gregory D, additional, Schulze-Bonhage, Andreas, additional, Lopes-Cendes, Iscia, additional, Cendes, Fernando, additional, Guerrini, Renzo, additional, Bernhardt, Boris, additional, Bernasconi, Neda, additional, and Bernasconi, Andrea, additional

Published
2023
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60. Normal cerebral cortical thickness in first-degree relatives of temporal lobe epilepsy patients

Author

Alhusaini, Saud, Kowalczyk, Magdalena A., Yasuda, Clarissa L., Semmelroch, Mira K., Katsurayama, Marilise, Zabin, Matheus, Zanão, Tamires, Nogueira, Mateus H., Alvim, Marina K.M., Ferraz, Victória R., Tsai, Meng-Han, Fitzsimons, Mary, Lopes-Cendes, Iscia, Doherty, Colin P., Cavalleri, Gianpiero L., Cendes, Fernando, Jackson, Graeme D., and Delanty, Norman

Published
2019
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61. Deep Convolutional Networks for Automated Detection of Epileptogenic Brain Malformations

Author

Gill, Ravnoor S., primary, Hong, Seok-Jun, additional, Fadaie, Fatemeh, additional, Caldairou, Benoit, additional, Bernhardt, Boris C., additional, Barba, Carmen, additional, Brandt, Armin, additional, Coelho, Vanessa C., additional, d’Incerti, Ludovico, additional, Lenge, Matteo, additional, Semmelroch, Mira, additional, Bartolomei, Fabrice, additional, Cendes, Fernando, additional, Deleo, Francesco, additional, Guerrini, Renzo, additional, Guye, Maxime, additional, Jackson, Graeme, additional, Schulze-Bonhage, Andreas, additional, Mansi, Tommaso, additional, Bernasconi, Neda, additional, and Bernasconi, Andrea, additional

Published
2018
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62. Later onset focal epilepsy with roots in childhood: Evidence from early learning difficulty and brain volumes in the Human Epilepsy Project.

Author

Pellinen, Jacob, Pardoe, Heath, Sillau, Stefan, Barnard, Sarah, French, Jacqueline, Knowlton, Robert, Lowenstein, Daniel, Cascino, Gregory D., Glynn, Simon, Jackson, Graeme, Szaflarski, Jerzy, Morrison, Chris, Meador, Kimford J., Kuzniecky, Ruben, Cristofaro, Sabrina, McKenna, Kevin, Mays, Vickie, Shack, Darrell, Burke, Cheryl, and Hegde, Manu

Subjects
EPILEPSY, PARTIAL epilepsy, CHILDHOOD epilepsy, LEARNING disabilities, BRAIN diseases, DISABILITY identification
Abstract

Objective: Visual assessment of magnetic resonance imaging (MRI) from the Human Epilepsy Project 1 (HEP1) found 18% of participants had atrophic brain changes relative to age without known etiology. Here, we identify the underlying factors related to brain volume differences in people with focal epilepsy enrolled in HEP1. Methods: Enrollment data for participants with complete records and brain MRIs were analyzed, including 391 participants aged 12–60 years. HEP1 excluded developmental or cognitive delay with intelligence quotient <70, and participants reported any formal learning disability diagnoses, repeated grades, and remediation. Prediagnostic seizures were quantified by semiology, frequency, and duration. T1‐weighted brain MRIs were analyzed using Sequence Adaptive Multimodal Segmentation (FreeSurfer v7.2), from which a brain tissue volume to intracranial volume ratio was derived and compared to clinically relevant participant characteristics. Results: Brain tissue volume changes observable on visual analyses were quantified, and a brain tissue volume to intracranial volume ratio was derived to compare with clinically relevant variables. Learning difficulties were associated with decreased brain tissue volume to intracranial volume, with a ratio reduction of.005 for each learning difficulty reported (95% confidence interval [CI] = −.007 to −.002, p =.0003). Each 10‐year increase in age at MRI was associated with a ratio reduction of.006 (95% CI = −.007 to −.005, p <.0001). For male participants, the ratio was.011 less than for female participants (95% CI = −.014 to −.007, p <.0001). There were no effects from seizures, employment, education, seizure semiology, or temporal lobe electroencephalographic abnormalities. Significance: This study shows lower brain tissue volume to intracranial volume in people with newly treated focal epilepsy and learning difficulties, suggesting developmental factors are an important marker of brain pathology related to neuroanatomical changes in focal epilepsy. Like the general population, there were also independent associations between brain volume, age, and sex in the study population. [ABSTRACT FROM AUTHOR]

Published
2023
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64. Structural Neuroimaging in Adults and Adolescents With Newly Diagnosed Focal Epilepsy: The Human Epilepsy Project

Author

Bank, Anna M., Kuzniecky, Ruben, Knowlton, Robert C., Cascino, Gregory D., Jackson, Graeme, and Pardoe, Heath R.

Subjects
Neurology (clinical), Research Article
Abstract

Background and Objectives:Identification of an epileptogenic lesion on structural neuroimaging in individuals with focal epilepsy is important for management and treatment planning. The objective of this study was to determine the frequency of MRI-identified potentially epileptogenic structural abnormalities in a large multicenter study of adolescent and adult patients with newly diagnosed focal epilepsy.Methods:Patients with a new diagnosis of focal epilepsy enrolled in the Human Epilepsy Project observational cohort study underwent 3-Tesla (3T) brain MRI using a standardized protocol. Imaging findings were classified as normal, abnormal, or incidental. Abnormal findings were classified as focal or diffuse, and as likely epilepsy-related or of unknown relationship to epilepsy. Fisher exact tests were performed to determine whether abnormal imaging or abnormality type was associated with clinical characteristics.Results:418 participants were enrolled. 218 participants (59.3%) had no abnormalities detected, 149 (35.6%) had abnormal imaging, and 21 (5.0%) had incidental findings. 78 participants (18.7%) had abnormalities that were considered epilepsy-related and 71 (17.0%) had abnormalities of unknown relationship to epilepsy. Older participants were more likely to have imaging abnormalities, while participants with focal and epilepsy-related imaging abnormalities were younger than those without these abnormalities. 131 participants (31.3%) had a family history of epilepsy. Epilepsy-related abnormalities were not associated with participant sex, family history of epilepsy, or seizure type.Discussion:We found that one in five patients with newly diagnosed focal epilepsy has an MRI finding that is likely causative and may alter treatment options. An additional one in five patients has abnormalities of unknown significance. This information is important for patient counseling, prognostication, and management.

Published
2022

65. Interpretable surface-based detection of focal cortical dysplasias: a Multi-centre Epilepsy Lesion Detection study

Author

Spitzer, Hannah, primary, Ripart, Mathilde, additional, Whitaker, Kirstie, additional, D’Arco, Felice, additional, Mankad, Kshitij, additional, Chen, Andrew A, additional, Napolitano, Antonio, additional, De Palma, Luca, additional, De Benedictis, Alessandro, additional, Foldes, Stephen, additional, Humphreys, Zachary, additional, Zhang, Kai, additional, Hu, Wenhan, additional, Mo, Jiajie, additional, Likeman, Marcus, additional, Davies, Shirin, additional, Güttler, Christopher, additional, Lenge, Matteo, additional, Cohen, Nathan T, additional, Tang, Yingying, additional, Wang, Shan, additional, Chari, Aswin, additional, Tisdall, Martin, additional, Bargallo, Nuria, additional, Conde-Blanco, Estefanía, additional, Pariente, Jose Carlos, additional, Pascual-Diaz, Saül, additional, Delgado-Martínez, Ignacio, additional, Pérez-Enríquez, Carmen, additional, Lagorio, Ilaria, additional, Abela, Eugenio, additional, Mullatti, Nandini, additional, O’Muircheartaigh, Jonathan, additional, Vecchiato, Katy, additional, Liu, Yawu, additional, Caligiuri, Maria Eugenia, additional, Sinclair, Ben, additional, Vivash, Lucy, additional, Willard, Anna, additional, Kandasamy, Jothy, additional, McLellan, Ailsa, additional, Sokol, Drahoslav, additional, Semmelroch, Mira, additional, Kloster, Ane G, additional, Opheim, Giske, additional, Ribeiro, Letícia, additional, Yasuda, Clarissa, additional, Rossi-Espagnet, Camilla, additional, Hamandi, Khalid, additional, Tietze, Anna, additional, Barba, Carmen, additional, Guerrini, Renzo, additional, Gaillard, William Davis, additional, You, Xiaozhen, additional, Wang, Irene, additional, González-Ortiz, Sofía, additional, Severino, Mariasavina, additional, Striano, Pasquale, additional, Tortora, Domenico, additional, Kälviäinen, Reetta, additional, Gambardella, Antonio, additional, Labate, Angelo, additional, Desmond, Patricia, additional, Lui, Elaine, additional, O’Brien, Terence, additional, Shetty, Jay, additional, Jackson, Graeme, additional, Duncan, John S, additional, Winston, Gavin P, additional, Pinborg, Lars H, additional, Cendes, Fernando, additional, Theis, Fabian J, additional, Shinohara, Russell T, additional, Cross, J Helen, additional, Baldeweg, Torsten, additional, Adler, Sophie, additional, and Wagstyl, Konrad, additional

Published
2022
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69. Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study

Author

Whelan, Christopher D, Altmann, Andre, Botía, Juan A, Jahanshad, Neda, Hibar, Derrek P, Absil, Julie, Alhusaini, Saud, Alvim, Marina K M, Auvinen, Pia, Bartolini, Emanuele, Bergo, Felipe P G, Bernardes, Tauana, Blackmon, Karen, Braga, Barbara, Caligiuri, Maria Eugenia, Calvo, Anna, Carr, Sarah J, Chen, Jian, Chen, Shuai, Cherubini, Andrea, David, Philippe, Domin, Martin, Foley, Sonya, França, Wendy, Haaker, Gerrit, Isaev, Dmitry, Keller, Simon S, Kotikalapudi, Raviteja, Kowalczyk, Magdalena A, Kuzniecky, Ruben, Langner, Soenke, Lenge, Matteo, Leyden, Kelly M, Liu, Min, Loi, Richard Q, Martin, Pascal, Mascalchi, Mario, Morita, Marcia E, Pariente, Jose C, Rodríguez-Cruces, Raul, Rummel, Christian, Saavalainen, Taavi, Semmelroch, Mira K, Severino, Mariasavina, Thomas, Rhys H, Tondelli, Manuela, Tortora, Domenico, Vaudano, Anna Elisabetta, Vivash, Lucy, von Podewils, Felix, Wagner, Jan, Weber, Bernd, Yao, Yi, Yasuda, Clarissa L, Zhang, Guohao, Bargalló, Nuria, Bender, Benjamin, Bernasconi, Neda, Bernasconi, Andrea, Bernhardt, Boris C, Blümcke, Ingmar, Carlson, Chad, Cavalleri, Gianpiero L, Cendes, Fernando, Concha, Luis, Delanty, Norman, Depondt, Chantal, Devinsky, Orrin, Doherty, Colin P, Focke, Niels K, Gambardella, Antonio, Guerrini, Renzo, Hamandi, Khalid, Jackson, Graeme D, Kälviäinen, Reetta, Kochunov, Peter, Kwan, Patrick, Labate, Angelo, McDonald, Carrie R, Meletti, Stefano, OʼBrien, Terence J, Ourselin, Sebastien, Richardson, Mark P, Striano, Pasquale, Thesen, Thomas, Wiest, Roland, Zhang, Junsong, Vezzani, Annamaria, Ryten, Mina, Thompson, Paul M, and Sisodiya, Sanjay M

Published
2018
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72. Impact of epilepsy surgery on quality of life: Systematic review and meta‐analysis.

Author

Shakhatreh, Lubna, Foster, Emma, Siriratnam, Pakeeran, Neal, Andrew, Carney, Patrick W., Jackson, Graeme D., O'Brien, Terence J., Kwan, Patrick, Chen, Zhibin, and Ademi, Zanfina

Subjects
EPILEPSY surgery, TEMPORAL lobectomy, QUALITY of life, PEDIATRIC surgery, OPENNESS to experience, TALLIES
Abstract

Improved quality of life (QoL) is an important outcome goal following epilepsy surgery. This study aims to quantify change in QoL for adults with drug‐resistant epilepsy (DRE) who undergo epilepsy surgery, and to explore clinicodemographic factors associated with these changes. We conducted a systematic review and meta‐analysis using Medline, Embase, and Cochrane Central Register of Controlled Trials. All studies reporting pre‐ and post‐epilepsy surgery QoL scores in adults with DRE via validated instruments were included. Meta‐analysis assessed the postsurgery change in QoL. Meta‐regression assessed the effect of postoperative seizure outcomes on postoperative QoL as well as change in pre‐ and postoperative QoL scores. A total of 3774 titles and abstracts were reviewed, and ultimately 16 studies, comprising 1182 unique patients, were included. Quality of Life in Epilepsy Inventory–31 item (QOLIE‐31) meta‐analysis included six studies, and QOLIE‐89 meta‐analysis included four studies. Postoperative change in raw score was 20.5 for QOLIE‐31 (95% confidence interval [CI] = 10.9–30.1, I2 = 95.5) and 12.1 for QOLIE‐89 (95% CI = 8.0–16.1, I2 = 55.0%). This corresponds to clinically meaningful QOL improvements. Meta‐regression demonstrated a higher postoperative QOLIE‐31 score as well as change in pre‐ and postoperative QOLIE‐31 score among studies of cohorts with higher proportions of patients with favorable seizure outcomes. At an individual study level, preoperative absence of mood disorders, better preoperative cognition, fewer trials of antiseizure medications before surgery, high levels of conscientiousness and openness to experience at the baseline, engagement in paid employment before and after surgery, and not being on antidepressants following surgery were associated with improved postoperative QoL. This study demonstrates the potential for epilepsy surgery to provide clinically meaningful improvements in QoL, as well as identifies clinicodemographic factors associated with this outcome. Limitations include substantial heterogeneity between individual studies and high risk of bias. [ABSTRACT FROM AUTHOR]

Published
2023
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73. Functional MRI

Author

Jackson, Graeme D., Briellmann, Regula S., Waites, Anthony B., Pell, Gaby S., Abbott, David F., and Webb, Graham A., editor

Published
2006
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79. Interpretable surface-based detection of focal cortical dysplasias:a Multi-centre Epilepsy Lesion Detection study

Author

Spitzer, Hannah, Ripart, Mathilde, Whitaker, Kirstie, D’Arco, Felice, Mankad, Kshitij, Chen, Andrew A., Napolitano, Antonio, De Palma, Luca, De Benedictis, Alessandro, Foldes, Stephen, Humphreys, Zachary, Zhang, Kai, Hu, Wenhan, Mo, Jiajie, Likeman, Marcus, Davies, Shirin, Güttler, Christopher, Lenge, Matteo, Cohen, Nathan T., Tang, Yingying, Wang, Shan, Chari, Aswin, Tisdall, Martin, Bargallo, Nuria, Conde-Blanco, Estefanía, Pariente, Jose Carlos, Pascual-Diaz, Saül, Delgado-Martínez, Ignacio, Pérez-Enríquez, Carmen, Lagorio, Ilaria, Abela, Eugenio, Mullatti, Nandini, O’Muircheartaigh, Jonathan, Vecchiato, Katy, Liu, Yawu, Caligiuri, Maria Eugenia, Sinclair, Ben, Vivash, Lucy, Willard, Anna, Kandasamy, Jothy, McLellan, Ailsa, Sokol, Drahoslav, Semmelroch, Mira, Kloster, Ane G., Opheim, Giske, Ribeiro, Letícia, Yasuda, Clarissa, Rossi-Espagnet, Camilla, Hamandi, Khalid, Tietze, Anna, Barba, Carmen, Guerrini, Renzo, Gaillard, William Davis, You, Xiaozhen, Wang, Irene, González-Ortiz, Sofía, Severino, Mariasavina, Striano, Pasquale, Tortora, Domenico, Kälviäinen, Reetta, Gambardella, Antonio, Labate, Angelo, Desmond, Patricia, Lui, Elaine, O’Brien, Terence, Shetty, Jay, Jackson, Graeme, Duncan, John S., Winston, Gavin P., Pinborg, Lars H., Cendes, Fernando, Theis, Fabian J., Shinohara, Russell T., Cross, J. Helen, Baldeweg, Torsten, Adler, Sophie, Wagstyl, Konrad, Spitzer, Hannah, Ripart, Mathilde, Whitaker, Kirstie, D’Arco, Felice, Mankad, Kshitij, Chen, Andrew A., Napolitano, Antonio, De Palma, Luca, De Benedictis, Alessandro, Foldes, Stephen, Humphreys, Zachary, Zhang, Kai, Hu, Wenhan, Mo, Jiajie, Likeman, Marcus, Davies, Shirin, Güttler, Christopher, Lenge, Matteo, Cohen, Nathan T., Tang, Yingying, Wang, Shan, Chari, Aswin, Tisdall, Martin, Bargallo, Nuria, Conde-Blanco, Estefanía, Pariente, Jose Carlos, Pascual-Diaz, Saül, Delgado-Martínez, Ignacio, Pérez-Enríquez, Carmen, Lagorio, Ilaria, Abela, Eugenio, Mullatti, Nandini, O’Muircheartaigh, Jonathan, Vecchiato, Katy, Liu, Yawu, Caligiuri, Maria Eugenia, Sinclair, Ben, Vivash, Lucy, Willard, Anna, Kandasamy, Jothy, McLellan, Ailsa, Sokol, Drahoslav, Semmelroch, Mira, Kloster, Ane G., Opheim, Giske, Ribeiro, Letícia, Yasuda, Clarissa, Rossi-Espagnet, Camilla, Hamandi, Khalid, Tietze, Anna, Barba, Carmen, Guerrini, Renzo, Gaillard, William Davis, You, Xiaozhen, Wang, Irene, González-Ortiz, Sofía, Severino, Mariasavina, Striano, Pasquale, Tortora, Domenico, Kälviäinen, Reetta, Gambardella, Antonio, Labate, Angelo, Desmond, Patricia, Lui, Elaine, O’Brien, Terence, Shetty, Jay, Jackson, Graeme, Duncan, John S., Winston, Gavin P., Pinborg, Lars H., Cendes, Fernando, Theis, Fabian J., Shinohara, Russell T., Cross, J. Helen, Baldeweg, Torsten, Adler, Sophie, and Wagstyl, Konrad

Abstract

One outstanding challenge for machine learning in diagnostic biomedical imaging is algorithm interpretability. A key application is the identification of subtle epileptogenic focal cortical dysplasias (FCDs) from structural MRI. FCDs are difficult to visualize on structural MRI but are often amenable to surgical resection. We aimed to develop an open-source, interpretable, surface-based machine-learning algorithm to automatically identify FCDs on heterogeneous structural MRI data from epilepsy surgery centres worldwide. The Multi-centre Epilepsy Lesion Detection (MELD) Project collated and harmonized a retrospective MRI cohort of 1015 participants, 618 patients with focal FCD-related epilepsy and 397 controls, from 22 epilepsy centres worldwide. We created a neural network for FCD detection based on 33 surface-based features. The network was trained and cross-validated on 50% of the total cohort and tested on the remaining 50% as well as on 2 independent test sites. Multidimensional feature analysis and integrated gradient saliencies were used to interrogate network performance. Our pipeline outputs individual patient reports, which identify the location of predicted lesions, alongside their imaging features and relative saliency to the classifier. On a restricted ‘gold-standard’ subcohort of seizure-free patients with FCD type IIB who had T1 and fluid-attenuated inversion recovery MRI data, the MELD FCD surface-based algorithm had a sensitivity of 85%. Across the entire withheld test cohort the sensitivity was 59% and specificity was 54%. After including a border zone around lesions, to account for uncertainty around the borders of manually delineated lesion masks, the sensitivity was 67%. This multicentre, multinational study with open access protocols and code has developed a robust and interpretable machine-learning algorithm for automated detection of focal cortical dysplasias, giving physicians greater confidence in the identification of subtle M

Published
2022

80. Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy

Author

Park, Bo Yong, Larivière, Sara, Rodríguez-Cruces, Raul, Royer, Jessica, Tavakol, Shahin, Wang, Yezhou, Caciagli, Lorenzo, Caligiuri, Maria Eugenia, Gambardella, Antonio, Concha, Luis, Keller, Simone, Cendes, Fernando, Alvim, Marina, Yasuda, Clarissa, Bonilha, Leonardo, Gleichgerrcht, Ezequiel, Focke, Niels, Kreilkamp, Barbara, Domin, Martin, von Podewils, Felix, Langner, Soenke, Rummel, Christian, Rebsamen, Michael, Wiest, Roland, Martin, Pascale, Kotikalapudi, Raviteja, Bender, Benjamin, O’Brien, Terence J, Law, Meng, Sinclair, Benjamin, Vivash, Lucy, Kwan, Patrick, Desmond, Patricia, Malpas, Charles, Lui, Elaine, Alhusaini, Saud, Doherty, Colin P, Cavalleri, Gianpiero L, Delanty, Norman, Kälviäinen, Reetta, Jackson, Graeme D, Kowalczyk, Magdalena, Mascalchi, Mario, Semmelroch, Mira, Thomas, Rhys H, Soltanian-Zadeh, Hamid, Davoodi-Bojd, Esmaeil, Zhang, Junsong, Lenge, Matteo, Guerrini, Renzo, Bartolini, Emanuele, Hamandi, Khalid, Foley, Sonya, Weber, Bernd, Depondt, Chantal, Absil, Julie, Carr, Sarah J A, Abela, Eugenio, Richardson, Mark P, Devinsky, Orrin In, Severino, Mariasavina, Striano, Pasquale, Parodi, Costanza, Tortora, Domenico, Hatton, Sean, Vos, Sjoerd B, Duncan, John S, Galovic, Marian, Whelan, Christopher D, Bargalló, Núria, Pariente, Jose, Conde-Blanco, Estefania, Vaudano, Anna Elisabetta, Tondelli, Manuela, Meletti, Stefano, Kong, Xiang-Zhen, Francks, Clyde, Fisher, Simon E, Caldairou, Benoit, Ryten, Mina, Labate, Angelo, Sisodiya, Sanjay M, Thompson, Paul M, McDonald, Carrie R, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris C, Park, Bo Yong, Larivière, Sara, Rodríguez-Cruces, Raul, Royer, Jessica, Tavakol, Shahin, Wang, Yezhou, Caciagli, Lorenzo, Caligiuri, Maria Eugenia, Gambardella, Antonio, Concha, Luis, Keller, Simone, Cendes, Fernando, Alvim, Marina, Yasuda, Clarissa, Bonilha, Leonardo, Gleichgerrcht, Ezequiel, Focke, Niels, Kreilkamp, Barbara, Domin, Martin, von Podewils, Felix, Langner, Soenke, Rummel, Christian, Rebsamen, Michael, Wiest, Roland, Martin, Pascale, Kotikalapudi, Raviteja, Bender, Benjamin, O’Brien, Terence J, Law, Meng, Sinclair, Benjamin, Vivash, Lucy, Kwan, Patrick, Desmond, Patricia, Malpas, Charles, Lui, Elaine, Alhusaini, Saud, Doherty, Colin P, Cavalleri, Gianpiero L, Delanty, Norman, Kälviäinen, Reetta, Jackson, Graeme D, Kowalczyk, Magdalena, Mascalchi, Mario, Semmelroch, Mira, Thomas, Rhys H, Soltanian-Zadeh, Hamid, Davoodi-Bojd, Esmaeil, Zhang, Junsong, Lenge, Matteo, Guerrini, Renzo, Bartolini, Emanuele, Hamandi, Khalid, Foley, Sonya, Weber, Bernd, Depondt, Chantal, Absil, Julie, Carr, Sarah J A, Abela, Eugenio, Richardson, Mark P, Devinsky, Orrin In, Severino, Mariasavina, Striano, Pasquale, Parodi, Costanza, Tortora, Domenico, Hatton, Sean, Vos, Sjoerd B, Duncan, John S, Galovic, Marian, Whelan, Christopher D, Bargalló, Núria, Pariente, Jose, Conde-Blanco, Estefania, Vaudano, Anna Elisabetta, Tondelli, Manuela, Meletti, Stefano, Kong, Xiang-Zhen, Francks, Clyde, Fisher, Simon E, Caldairou, Benoit, Ryten, Mina, Labate, Angelo, Sisodiya, Sanjay M, Thompson, Paul M, McDonald, Carrie R, Bernasconi, Andrea, Bernasconi, Neda, and Bernhardt, Boris C

Abstract

Temporal lobe epilepsy, a common drug-resistant epilepsy in adults, is primarily a limbic network disorder associated with predominant unilateral hippocampal pathology. Structural MRI has provided an in vivo window into whole-brain grey matter structural alterations in temporal lobe epilepsy relative to controls, by either mapping (i) atypical inter-hemispheric asymmetry; or (ii) regional atrophy. However, similarities and differences of both atypical asymmetry and regional atrophy measures have not been systematically investigated. Here, we addressed this gap using the multisite ENIGMA-Epilepsy dataset comprising MRI brain morphological measures in 732 temporal lobe epilepsy patients and 1418 healthy controls. We compared spatial distributions of grey matter asymmetry and atrophy in temporal lobe epilepsy, contextualized their topographies relative to spatial gradients in cortical microstructure and functional connectivity calculated using 207 healthy controls obtained from Human Connectome Project and an independent dataset containing 23 temporal lobe epilepsy patients and 53 healthy controls and examined clinical associations using machine learning. We identified a marked divergence in the spatial distribution of atypical inter-hemispheric asymmetry and regional atrophy mapping. The former revealed a temporo-limbic disease signature while the latter showed diffuse and bilateral patterns. Our findings were robust across individual sites and patients. Cortical atrophy was significantly correlated with disease duration and age at seizure onset, while degrees of asymmetry did not show a significant relationship to these clinical variables. Our findings highlight that the mapping of atypical inter-hemispheric asymmetry and regional atrophy tap into two complementary aspects of temporal lobe epilepsy-related pathology, with the former revealing primary substrates in ipsilateral limbic circuits and the latter capturing bilateral disease effects. These findings, SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2022

81. Atlas of lesion locations and postsurgical seizure freedom in focal cortical dysplasia:A MELD study

Author

Wagstyl, Konrad, Whitaker, Kirstie, Raznahan, Armin, Seidlitz, Jakob, Vértes, Petra E., Foldes, Stephen, Humphreys, Zachary, Hu, Wenhan, Mo, Jiajie, Likeman, Marcus, Davies, Shirin, Lenge, Matteo, Cohen, Nathan T., Tang, Yingying, Wang, Shan, Ripart, Mathilde, Chari, Aswin, Tisdall, Martin, Bargallo, Nuria, Conde-Blanco, Estefanía, Pariente, Jose Carlos, Pascual-Diaz, Saül, Delgado-Martínez, Ignacio, Pérez-Enríquez, Carmen, Lagorio, Ilaria, Abela, Eugenio, Mullatti, Nandini, O'Muircheartaigh, Jonathan, Vecchiato, Katy, Liu, Yawu, Caligiuri, Maria, Sinclair, Ben, Vivash, Lucy, Willard, Anna, Kandasamy, Jothy, McLellan, Ailsa, Sokol, Drahoslav, Semmelroch, Mira, Kloster, Ane, Opheim, Giske, Yasuda, Clarissa, Zhang, Kai, Hamandi, Khalid, Barba, Carmen, Guerrini, Renzo, Gaillard, William Davis, You, Xiaozhen, Wang, Irene, González-Ortiz, Sofía, Severino, Mariasavina, Striano, Pasquale, Tortora, Domenico, Kalviainen, Reetta, Gambardella, Antonio, Labate, Angelo, Desmond, Patricia, Lui, Elaine, O'Brien, Terry, Shetty, Jay, Jackson, Graeme, Duncan, John S., Winston, Gavin P., Pinborg, Lars, Cendes, Fernando, Cross, Judith Helen, Baldeweg, Torsten, Adler, Sophie, Wagstyl, Konrad, Whitaker, Kirstie, Raznahan, Armin, Seidlitz, Jakob, Vértes, Petra E., Foldes, Stephen, Humphreys, Zachary, Hu, Wenhan, Mo, Jiajie, Likeman, Marcus, Davies, Shirin, Lenge, Matteo, Cohen, Nathan T., Tang, Yingying, Wang, Shan, Ripart, Mathilde, Chari, Aswin, Tisdall, Martin, Bargallo, Nuria, Conde-Blanco, Estefanía, Pariente, Jose Carlos, Pascual-Diaz, Saül, Delgado-Martínez, Ignacio, Pérez-Enríquez, Carmen, Lagorio, Ilaria, Abela, Eugenio, Mullatti, Nandini, O'Muircheartaigh, Jonathan, Vecchiato, Katy, Liu, Yawu, Caligiuri, Maria, Sinclair, Ben, Vivash, Lucy, Willard, Anna, Kandasamy, Jothy, McLellan, Ailsa, Sokol, Drahoslav, Semmelroch, Mira, Kloster, Ane, Opheim, Giske, Yasuda, Clarissa, Zhang, Kai, Hamandi, Khalid, Barba, Carmen, Guerrini, Renzo, Gaillard, William Davis, You, Xiaozhen, Wang, Irene, González-Ortiz, Sofía, Severino, Mariasavina, Striano, Pasquale, Tortora, Domenico, Kalviainen, Reetta, Gambardella, Antonio, Labate, Angelo, Desmond, Patricia, Lui, Elaine, O'Brien, Terry, Shetty, Jay, Jackson, Graeme, Duncan, John S., Winston, Gavin P., Pinborg, Lars, Cendes, Fernando, Cross, Judith Helen, Baldeweg, Torsten, and Adler, Sophie

Abstract

Objective: Drug-resistant focal epilepsy is often caused by focal cortical dysplasias (FCDs). The distribution of these lesions across the cerebral cortex and the impact of lesion location on clinical presentation and surgical outcome are largely unknown. We created a neuroimaging cohort of patients with individually mapped FCDs to determine factors associated with lesion location and predictors of postsurgical outcome. Methods: The MELD (Multi-centre Epilepsy Lesion Detection) project collated a retrospective cohort of 580 patients with epilepsy attributed to FCD from 20 epilepsy centers worldwide. Magnetic resonance imaging-based maps of individual FCDs with accompanying demographic, clinical, and surgical information were collected. We mapped the distribution of FCDs, examined for associations between clinical factors and lesion location, and developed a predictive model of postsurgical seizure freedom. Results: FCDs were nonuniformly distributed, concentrating in the superior frontal sulcus, frontal pole, and temporal pole. Epilepsy onset was typically before the age of 10 years. Earlier epilepsy onset was associated with lesions in primary sensory areas, whereas later epilepsy onset was associated with lesions in association cortices. Lesions in temporal and occipital lobes tended to be larger than frontal lobe lesions. Seizure freedom rates varied with FCD location, from around 30% in visual, motor, and premotor areas to 75% in superior temporal and frontal gyri. The predictive model of postsurgical seizure freedom had a positive predictive value of 70% and negative predictive value of 61%. Significance: FCD location is an important determinant of its size, the age at epilepsy onset, and the likelihood of seizure freedom postsurgery. Our atlas of lesion locations can be used to guide the radiological search for subtle lesions in individual patients. Our atlas of regional seizure freedom rates and associated predictive model can be used to estimate individua

Published
2022

90. Imaging characteristics of temporopolar blurring in the context of hippocampal sclerosis

Author

Clavijo Prado, Carlos Andrés, primary, Federico, Paolo, additional, Bernasconi, Andrea, additional, Bernhardt, Boris, additional, Caciagli, Lorenzo, additional, Concha, Luis, additional, Chinvarun, Yotin, additional, Jackson, Graeme, additional, Morgan, Victoria, additional, Rampp, Stefan, additional, Vaudano, Anna Elisabetta, additional, Wang, Irene, additional, Wang, Shuang, additional, Zaidan, Bruna Cunha, additional, Rogerio, Fabio, additional, and Cendes, Fernando, additional

Published
2022
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91. The ENIGMA‐Epilepsy working group: Mapping disease from large data sets

Author

Sisodiya, Sanjay M., Whelan, Christopher D., Hatton, Sean N., Huynh, Khoa, Altmann, Andre, Ryten, Mina, Vezzani, Annamaria, Caligiuri, Maria Eugenia, Labate, Angelo, Gambardella, Antonio, Ives‐Deliperi, Victoria, Meletti, Stefano, Munsell, Brent C., Bonilha, Leonardo, Tondelli, Manuela, Rebsamen, Michael, Rummel, Christian, Vaudano, Anna Elisabetta, Wiest, Roland, Balachandra, Akshara R., Bargalló, Núria, Bartolini, Emanuele, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Caldairou, Benoit, Carr, Sarah J.A., Cavalleri, Gianpiero L., Cendes, Fernando, Concha, Luis, Desmond, Patricia M., Domin, Martin, Duncan, John S., Focke, Niels K., Guerrini, Renzo, Hamandi, Khalid, Jackson, Graeme D., Jahanshad, Neda, Kälviäinen, Reetta, Keller, Simon S., Kochunov, Peter, Kowalczyk, Magdalena A., Kreilkamp, Barbara A.K., Kwan, Patrick, Lariviere, Sara, Lenge, Matteo, Lopez, Seymour M., Martin, Pascal, Mascalchi, Mario, Moreira, José C.V., Morita‐Sherman, Marcia E., Pardoe, Heath R., Pariente, Jose C., Raviteja, Kotikalapudi, Rocha, Cristiane S., Rodríguez‐Cruces, Raúl, Seeck, Margitta, Semmelroch, Mira K.H.G., Sinclair, Benjamin, Soltanian‐Zadeh, Hamid, Stein, Dan J., Striano, Pasquale, Taylor, Peter N., Thomas, Rhys H., Thomopoulos, Sophia I., Velakoulis, Dennis, Vivash, Lucy, Weber, Bernd, Yasuda, Clarissa Lin, Zhang, Junsong, Thompson, Paul M., McDonald, Carrie R., Abela, Eugenio, Absil, Julie, Adams, Sophia, Alhusaini, Saud, Alvim, Marina, Balestrini, Simona, Bender, Benjamin, Bergo, Felipe, Bernardes, Tauana, Calvo, Anna, Carreno, Mar, Cherubini, Andrea, David, Philippe, Davoodi‐Bojd, Esmaeil, Delanty, Norman, Depondt, Chantal, Devinsky, Orrin, Doherty, Colin, França, Wendy Caroline, Franceschet, Leticia, Hibar, Derrek P., Ishikawa, Akari, Kaestner, Erik, Langner, Soenke, Liu, Min, Mirandola, Laura, Naylor, Jillian, Nazem‐Zadeh, Mohammad‐reza, O'Brien, Terence J., Ribeiro, Letícia F., Richardson, Mark, Rosenow, Felix, Severino, Mariasavina, Shuai, Chen, Tortora, Domenico, von Podewils, Felix, Vos, Sjoerd B., Wagner, Jan, and Zhang, Guohao

Subjects
Connectomics, Disease, Review Article, rsfMRI, 050105 experimental psychology, 03 medical and health sciences, Epilepsy, 0302 clinical medicine, Neuroimaging, quantitative, Medical imaging, medicine, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, genetics, Review Articles, Cognitive science, Radiological and Ultrasound Technology, Resting state fMRI, event-based modeling, covariance, deep learning, DTI, gene expression, imaging, MRI, 05 social sciences, event‐based modeling, medicine.disease, Neurology, Epilepsy syndromes, Neurology (clinical), Anatomy, Age of onset, 030217 neurology & neurosurgery
Abstract

Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller‐scale studies have identified many interesting imaging phenomena, with implications both for understanding pathophysiology and improving clinical care. Through the infrastructure and concepts now well‐established by the ENIGMA Consortium, ENIGMA‐Epilepsy was established to strengthen epilepsy neuroscience by greatly increasing sample sizes, leveraging ideas and methods established in other ENIGMA projects, and generating a body of collaborating scientists and clinicians to drive forward robust research. Here we review published, current, and future projects, that include structural MRI, diffusion tensor imaging (DTI), and resting state functional MRI (rsfMRI), and that employ advanced methods including structural covariance, and event‐based modeling analysis. We explore age of onset‐ and duration‐related features, as well as phenomena‐specific work focusing on particular epilepsy syndromes or phenotypes, multimodal analyses focused on understanding the biology of disease progression, and deep learning approaches. We encourage groups who may be interested in participating to make contact to further grow and develop ENIGMA‐Epilepsy.

Published
2020

97. Interpretable surface-based detection of focal cortical dysplasias: a MELD study

Author

Spitzer, Hannah, primary, Ripart, Mathilde, additional, Whitaker, Kirstie, additional, Napolitano, Antonio, additional, De Palma, Luca, additional, De Benedictis, Alessandro, additional, Foldes, Stephen, additional, Humphreys, Zachary, additional, Zhang, Kai, additional, Hu, Wenhan, additional, Mo, Jiajie, additional, Likeman, Marcus, additional, Davies, Shirin, additional, Guttler, Christopher, additional, Lenge, Matteo, additional, Cohen, Nathan T., additional, Tang, Yingying, additional, Wang, Shan, additional, Chari, Aswin, additional, Tisdall, Martin, additional, Bargallo, Nuria, additional, Conde-Blanco, Estefanía, additional, Pariente, Jose Carlos, additional, Pascual-Diaz, Saül, additional, Delgado-Martínez, Ignacio, additional, Pérez-Enríquez, Carmen, additional, Lagorio, Ilaria, additional, Abela, Eugenio, additional, Mullatti, Nandini, additional, O’Muircheartaigh, Jonathan, additional, Vecchiato, Katy, additional, Liu, Yawu, additional, Caligiuri, Maria, additional, Sinclair, Ben, additional, Vivash, Lucy, additional, Willard, Anna, additional, Kandasamy, Jothy, additional, McLellan, Ailsa, additional, Sokol, Drahoslav, additional, Semmelroch, Mira, additional, Kloster, Ane, additional, Opheim, Giske, additional, Ribeiro, Letícia, additional, Yasuda, Clarissa, additional, Rossi-Espagnet, Camilla, additional, Hamandi, Khalid, additional, Tietze, Anna, additional, Barba, Carmen, additional, Guerrini, Renzo, additional, Gaillard, William Davis, additional, You, Xiaozhen, additional, Wang, Irene, additional, González-Ortiz, Sofía, additional, Severino, Mariasavina, additional, Striano, Pasquale, additional, Tortora, Domenico, additional, Kalviainen, Reetta, additional, Gambardella, Antonio, additional, Labate, Angelo, additional, Desmond, Patricia, additional, Lui, Elaine, additional, O’Brien, Terence, additional, Shetty, Jay, additional, Jackson, Graeme, additional, Duncan, John, additional, Winston, Gavin, additional, Pinborg, Lars, additional, Cendes, Fernando, additional, Theis, Fabian J., additional, Shinohara, Russell T., additional, Cross, J Helen, additional, Baldeweg, Torsten, additional, Adler, Sophie, additional, and Wagstyl, Konrad, additional

Published
2021
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99. Atlas of lesion locations and postsurgical seizure freedom in focal cortical dysplasia: A MELD study

Author

Wagstyl, Konrad, primary, Whitaker, Kirstie, additional, Raznahan, Armin, additional, Seidlitz, Jakob, additional, Vértes, Petra E., additional, Foldes, Stephen, additional, Humphreys, Zachary, additional, Hu, Wenhan, additional, Mo, Jiajie, additional, Likeman, Marcus, additional, Davies, Shirin, additional, Lenge, Matteo, additional, Cohen, Nathan T., additional, Tang, Yingying, additional, Wang, Shan, additional, Ripart, Mathilde, additional, Chari, Aswin, additional, Tisdall, Martin, additional, Bargallo, Nuria, additional, Conde‐Blanco, Estefanía, additional, Pariente, Jose Carlos, additional, Pascual‐Diaz, Saül, additional, Delgado‐Martínez, Ignacio, additional, Pérez‐Enríquez, Carmen, additional, Lagorio, Ilaria, additional, Abela, Eugenio, additional, Mullatti, Nandini, additional, O'Muircheartaigh, Jonathan, additional, Vecchiato, Katy, additional, Liu, Yawu, additional, Caligiuri, Maria, additional, Sinclair, Ben, additional, Vivash, Lucy, additional, Willard, Anna, additional, Kandasamy, Jothy, additional, McLellan, Ailsa, additional, Sokol, Drahoslav, additional, Semmelroch, Mira, additional, Kloster, Ane, additional, Opheim, Giske, additional, Yasuda, Clarissa, additional, Zhang, Kai, additional, Hamandi, Khalid, additional, Barba, Carmen, additional, Guerrini, Renzo, additional, Gaillard, William Davis, additional, You, Xiaozhen, additional, Wang, Irene, additional, González‐Ortiz, Sofía, additional, Severino, Mariasavina, additional, Striano, Pasquale, additional, Tortora, Domenico, additional, Kalviainen, Reetta, additional, Gambardella, Antonio, additional, Labate, Angelo, additional, Desmond, Patricia, additional, Lui, Elaine, additional, O'Brien, Terry, additional, Shetty, Jay, additional, Jackson, Graeme, additional, Duncan, John S., additional, Winston, Gavin P., additional, Pinborg, Lars, additional, Cendes, Fernando, additional, Cross, Judith Helen, additional, Baldeweg, Torsten, additional, and Adler, Sophie, additional

Published
2021
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100. Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy

Author

Park, Bo-yong, primary, Larivière, Sara, additional, Rodríguez-Cruces, Raul, additional, Royer, Jessica, additional, Tavakol, Shahin, additional, Wang, Yezhou, additional, Caciagli, Lorenzo, additional, Caligiuri, Maria Eugenia, additional, Gambardella, Antonio, additional, Concha, Luis, additional, Keller, Simon S, additional, Cendes, Fernando, additional, Alvim, Marina K M, additional, Yasuda, Clarissa, additional, Bonilha, Leonardo, additional, Gleichgerrcht, Ezequiel, additional, Focke, Niels K, additional, Kreilkamp, Barbara A K, additional, Domin, Martin, additional, von Podewils, Felix, additional, Langner, Soenke, additional, Rummel, Christian, additional, Rebsamen, Michael, additional, Wiest, Roland, additional, Martin, Pascal, additional, Kotikalapudi, Raviteja, additional, Bender, Benjamin, additional, O’Brien, Terence J, additional, Law, Meng, additional, Sinclair, Benjamin, additional, Vivash, Lucy, additional, Kwan, Patrick, additional, Desmond, Patricia M, additional, Malpas, Charles B, additional, Lui, Elaine, additional, Alhusaini, Saud, additional, Doherty, Colin P, additional, Cavalleri, Gianpiero L, additional, Delanty, Norman, additional, Kälviäinen, Reetta, additional, Jackson, Graeme D, additional, Kowalczyk, Magdalena, additional, Mascalchi, Mario, additional, Semmelroch, Mira, additional, Thomas, Rhys H, additional, Soltanian-Zadeh, Hamid, additional, Davoodi-Bojd, Esmaeil, additional, Zhang, Junsong, additional, Lenge, Matteo, additional, Guerrini, Renzo, additional, Bartolini, Emanuele, additional, Hamandi, Khalid, additional, Foley, Sonya, additional, Weber, Bernd, additional, Depondt, Chantal, additional, Absil, Julie, additional, Carr, Sarah J A, additional, Abela, Eugenio, additional, Richardson, Mark P, additional, Devinsky, Orrin, additional, Severino, Mariasavina, additional, Striano, Pasquale, additional, Parodi, Costanza, additional, Tortora, Domenico, additional, Hatton, Sean N, additional, Vos, Sjoerd B, additional, Duncan, John S, additional, Galovic, Marian, additional, Whelan, Christopher D, additional, Bargalló, Núria, additional, Pariente, Jose, additional, Conde-Blanco, Estefania, additional, Vaudano, Anna Elisabetta, additional, Tondelli, Manuela, additional, Meletti, Stefano, additional, Kong, Xiang-Zhen, additional, Francks, Clyde, additional, Fisher, Simon E, additional, Caldairou, Benoit, additional, Ryten, Mina, additional, Labate, Angelo, additional, Sisodiya, Sanjay M, additional, Thompson, Paul M, additional, McDonald, Carrie R, additional, Bernasconi, Andrea, additional, Bernasconi, Neda, additional, and Bernhardt, Boris C, additional

Published
2021
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