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2,373 results on '"CENDES, FERNANDO"'

1. Resistance training protects the hippocampus and precuneus against atrophy and benefits white matter integrity in older adults with mild cognitive impairment

Author

Ribeiro, Isadora C., Teixeira, Camila V. L., de Resende, Thiago J. R., de Campos, Brunno M., Silva, Gabriel B., Uchida, Marco C., Magalhães, Thamires N. C., Pimentel-Silva, Luciana R., Aventurato, Ítalo K., Gonçalves, Brenda C., da Silva, Marjorie C. R., Rizzi, Liara, Fernandes, Gustavo B. P., Fernandes, Paula T., Cendes, Fernando, and Balthazar, Marcio L. F.

Published
2025
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2. A worldwide study of subcortical shape as a marker for clinical staging in Parkinson’s disease

Author

Laansma, Max A., Zhao, Yuji, van Heese, Eva M., Bright, Joanna K., Owens-Walton, Conor, Al-Bachari, Sarah, Anderson, Tim J., Assogna, Francesca, van Balkom, Tim D., Berendse, Henk W., Cendes, Fernando, Dalrymple-Alford, John C., Debove, Ines, Dirkx, Michiel F., Druzgal, Jason, Emsley, Hedley C. A., Fouche, Jean-Paul, Garraux, Gaëtan, Guimarães, Rachel P., Helmich, Rick C., Hu, Michele, van den Heuvel, Odile A., Isaev, Dmitry, Kim, Ho-Bin, Klein, Johannes C., Lochner, Christine, McMillan, Corey T., Melzer, Tracy R., Newman, Benjamin, Parkes, Laura M., Pellicano, Clelia, Piras, Fabrizio, Pitcher, Toni L., Poston, Kathleen L., Rango, Mario, Ribeiro, Leticia F., Rocha, Cristiane S., Rummel, Christian, Santos, Lucas S. R., Schmidt, Reinhold, Schwingenschuh, Petra, Squarcina, Letizia, Stein, Dan J., Vecchio, Daniela, Vriend, Chris, Wang, Jiunjie, Weintraub, Daniel, Wiest, Roland, Yasuda, Clarissa L., Jahanshad, Neda, Thompson, Paul M., van der Werf, Ysbrand D., and Gutman, Boris A.

Published
2024
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3. A worldwide study of white matter microstructural alterations in people living with Parkinson’s disease

Author

Owens-Walton, Conor, Nir, Talia M., Al-Bachari, Sarah, Ambrogi, Sonia, Anderson, Tim J., Aventurato, Ítalo Karmann, Cendes, Fernando, Chen, Yao-Liang, Ciullo, Valentina, Cook, Phil, Dalrymple-Alford, John C., Dirkx, Michiel F., Druzgal, Jason, Emsley, Hedley C. A., Guimarães, Rachel, Haroon, Hamied A., Helmich, Rick C., Hu, Michele T., Johansson, Martin E., Kim, Ho Bin, Klein, Johannes C., Laansma, Max, Lawrence, Katherine E., Lochner, Christine, Mackay, Clare, McMillan, Corey T., Melzer, Tracy R., Nabulsi, Leila, Newman, Ben, Opriessnig, Peter, Parkes, Laura M., Pellicano, Clelia, Piras, Fabrizio, Piras, Federica, Pirpamer, Lukas, Pitcher, Toni L., Poston, Kathleen L., Roos, Annerine, Silva, Lucas Scárdua, Schmidt, Reinhold, Schwingenschuh, Petra, Shahid-Besanti, Marian, Spalletta, Gianfranco, Stein, Dan J., Thomopoulos, Sophia I., Tosun, Duygu, Tsai, Chih-Chien, van den Heuvel, Odile A., van Heese, Eva, Vecchio, Daniela, Villalón-Reina, Julio E., Vriend, Chris, Wang, Jiun-Jie, Wu, Yih-Ru, Yasuda, Clarissa Lin, Thompson, Paul M., Jahanshad, Neda, and van der Werf, Ysbrand

Published
2024
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4. Evidence of brain metabolism redistribution from neocortex to primitive brain structures in early acute COVID-19 respiratory syndrome

Author

Souza, Stephan P. M., Colet, Nicoli, Fujiwara, Mariana, Fernandes, Alins P., Tobar, Natalia, Dertkigil, Sergio S. J., Takahashi, Maria Emilia S., Amorim, Bárbara J., Silva, Lucas S., Yasuda, Clarissa L., Cendes, Fernando, de Souza, Thiago F., Rodrigues, Juliano T., Zantut-Wittmann, Denise E., and Ramos, Celso Dario

Published
2024
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5. Microstructural brain abnormalities, fatigue, and cognitive dysfunction after mild COVID-19

Author

Scardua-Silva, Lucas, Amorim da Costa, Beatriz, Karmann Aventurato, Ítalo, Batista Joao, Rafael, Machado de Campos, Brunno, Rabelo de Brito, Mariana, Bechelli, José Flávio, Santos Silva, Leila Camila, Ferreira dos Santos, Alan, Koutsodontis Machado Alvim, Marina, Vieira Nunes Ludwig, Guilherme, Rocha, Cristiane, Kaue Alves Silva Souza, Thierry, Mendes, Maria Julia, Waku, Takeshi, de Oliveira Boldrini, Vinicius, Silva Brunetti, Natália, Nora Baptista, Sophia, da Silva Schmitt, Gabriel, Duarte de Sousa, Jhulia Gabriela, Marchiori de Oliveira Cardoso, Tânia Aparecida, Schwambach Vieira, André, Barbosa Santos, Leonilda Maria, dos Santos Farias, Alessandro, Nogueira, Mateus Henrique, Cendes, Fernando, and Lin Yasuda, Clarissa

Published
2024
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6. Clinical characteristics and outcomes of patients with post-stroke epilepsy: protocol for an individual patient data meta-analysis from the International Post-stroke Epilepsy Research Repository (IPSERR).

Author

Mishra, Nishant, Kwan, Patrick, Tanaka, Tomotaka, Sunnerhagen, Katharina, Dawson, Jesse, Zhao, Yize, Misra, Shubham, Wang, Selena, Sharma, Vijay, Mazumder, Rajarshi, Funaro, Melissa, Ihara, Masafumi, Nicolo, John-Paul, Liebeskind, David, Yasuda, Clarissa, Cendes, Fernando, Quinn, Terence, Ge, Zongyuan, Scalzo, Fabien, Zelano, Johan, and Kasner, Scott

Subjects
Epilepsy, Patient Reported Outcome Measures, Prognosis, Stroke, Systematic Review, Humans, Adolescent, Adult, Epilepsy, Seizures, Prognosis, Research Design, Stroke, Meta-Analysis as Topic
Abstract

INTRODUCTION: Despite significant advances in managing acute stroke and reducing stroke mortality, preventing complications like post-stroke epilepsy (PSE) has seen limited progress. PSE research has been scattered worldwide with varying methodologies and data reporting. To address this, we established the International Post-stroke Epilepsy Research Consortium (IPSERC) to integrate global PSE research efforts. This protocol outlines an individual patient data meta-analysis (IPD-MA) to determine outcomes in patients with post-stroke seizures (PSS) and develop/validate PSE prediction models, comparing them with existing models. This protocol informs about creating the International Post-stroke Epilepsy Research Repository (IPSERR) to support future collaborative research. METHODS AND ANALYSIS: We utilised a comprehensive search strategy and searched MEDLINE, Embase, PsycInfo, Cochrane, and Web of Science databases until 30 January 2023. We extracted observational studies of stroke patients aged ≥18 years, presenting early or late PSS with data on patient outcome measures, and conducted the risk of bias assessment. We did not apply any restriction based on the date or language of publication. We will invite these study authors and the IPSERC collaborators to contribute IPD to IPSERR. We will review the IPD lodged within IPSERR to identify patients who developed epileptic seizures and those who did not. We will merge the IPD files of individual data and standardise the variables where possible for consistency. We will conduct an IPD-MA to estimate the prognostic value of clinical characteristics in predicting PSE. ETHICS AND DISSEMINATION: Ethics approval is not required for this study. The results will be published in peer-reviewed journals. This study will contribute to IPSERR, which will be available to researchers for future PSE research projects. It will also serve as a platform to anchor future clinical trials. TRIAL REGISTRATION NUMBER: NCT06108102.

Published
2023

7. Comparative transcriptomic analysis of circulating endothelial cells in sickle cell stroke

Author

de Castro, Júlia Nicoliello Pereira, da Silva Costa, Sueli Matilde, Camargo, Ana Carolina Lima, Ito, Mirta Tomie, de Souza, Bruno Batista, de Haidar e Bertozzo, Victor, Rodrigues, Thiago Adalton Rosa, Lanaro, Carolina, de Albuquerque, Dulcinéia Martins, Saez, Roberta Casagrande, Saad, Sara Teresinha Olalla, Ozelo, Margareth Castro, Cendes, Fernando, Costa, Fernando Ferreira, and de Melo, Mônica Barbosa

Published
2024
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11. Event‐based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross‐sectional data

Author

Lopez, Seymour M, Aksman, Leon M, Oxtoby, Neil P, Vos, Sjoerd B, Rao, Jun, Kaestner, Erik, Alhusaini, Saud, Alvim, Marina, Bender, Benjamin, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Bonilha, Leonardo, Caciagli, Lorenzo, Caldairou, Benoit, Caligiuri, Maria Eugenia, Calvet, Angels, Cendes, Fernando, Concha, Luis, Conde‐Blanco, Estefania, Davoodi‐Bojd, Esmaeil, de Bézenac, Christophe, Delanty, Norman, Desmond, Patricia M, Devinsky, Orrin, Domin, Martin, Duncan, John S, Focke, Niels K, Foley, Sonya, Fortunato, Francesco, Galovic, Marian, Gambardella, Antonio, Gleichgerrcht, Ezequiel, Guerrini, Renzo, Hamandi, Khalid, Ives‐Deliperi, Victoria, Jackson, Graeme D, Jahanshad, Neda, Keller, Simon S, Kochunov, Peter, Kotikalapudi, Raviteja, Kreilkamp, Barbara AK, Labate, Angelo, Larivière, Sara, Lenge, Matteo, Lui, Elaine, Malpas, Charles, Martin, Pascal, Mascalchi, Mario, Medland, Sarah E, Meletti, Stefano, Morita‐Sherman, Marcia E, Owen, Thomas W, Richardson, Mark, Riva, Antonella, Rüber, Theodor, Sinclair, Ben, Soltanian‐Zadeh, Hamid, Stein, Dan J, Striano, Pasquale, Taylor, Peter N, Thomopoulos, Sophia I, Thompson, Paul M, Tondelli, Manuela, Vaudano, Anna Elisabetta, Vivash, Lucy, Wang, Yujiang, Weber, Bernd, Whelan, Christopher D, Wiest, Roland, Winston, Gavin P, Yasuda, Clarissa Lin, McDonald, Carrie R, Alexander, Daniel C, Sisodiya, Sanjay M, Altmann, Andre, Bargalló, Núria, Bartolini, Emanuele, O’Brien, Terence J, and Thomas, Rhys H

Subjects
Brain Disorders, Epilepsy, Neurodegenerative, Neurosciences, Clinical Research, Biomedical Imaging, Aetiology, 2.1 Biological and endogenous factors, Neurological, Good Health and Well Being, Atrophy, Biomarkers, Cross-Sectional Studies, Epilepsy, Temporal Lobe, Hippocampus, Humans, Magnetic Resonance Imaging, Sclerosis, disease progression, duration of illness, event-based model, MTLE, patient staging, ENIGMA-Epilepsy Working Group, Clinical Sciences, Neurology & Neurosurgery
Abstract

ObjectiveRecent work has shown that people with common epilepsies have characteristic patterns of cortical thinning, and that these changes may be progressive over time. Leveraging a large multicenter cross-sectional cohort, we investigated whether regional morphometric changes occur in a sequential manner, and whether these changes in people with mesial temporal lobe epilepsy and hippocampal sclerosis (MTLE-HS) correlate with clinical features.MethodsWe extracted regional measures of cortical thickness, surface area, and subcortical brain volumes from T1-weighted (T1W) magnetic resonance imaging (MRI) scans collected by the ENIGMA-Epilepsy consortium, comprising 804 people with MTLE-HS and 1625 healthy controls from 25 centers. Features with a moderate case-control effect size (Cohen d ≥ .5) were used to train an event-based model (EBM), which estimates a sequence of disease-specific biomarker changes from cross-sectional data and assigns a biomarker-based fine-grained disease stage to individual patients. We tested for associations between EBM disease stage and duration of epilepsy, age at onset, and antiseizure medicine (ASM) resistance.ResultsIn MTLE-HS, decrease in ipsilateral hippocampal volume along with increased asymmetry in hippocampal volume was followed by reduced thickness in neocortical regions, reduction in ipsilateral thalamus volume, and finally, increase in ipsilateral lateral ventricle volume. EBM stage was correlated with duration of illness (Spearman ρ = .293, p = 7.03 × 10-16 ), age at onset (ρ = -.18, p = 9.82 × 10-7 ), and ASM resistance (area under the curve = .59, p = .043, Mann-Whitney U test). However, associations were driven by cases assigned to EBM Stage 0, which represents MTLE-HS with mild or nondetectable abnormality on T1W MRI.SignificanceFrom cross-sectional MRI, we reconstructed a disease progression model that highlights a sequence of MRI changes that aligns with previous longitudinal studies. This model could be used to stage MTLE-HS subjects in other cohorts and help establish connections between imaging-based progression staging and clinical features.

Published
2022

12. Junctional instability in neuroepithelium and network hyperexcitability in a focal cortical dysplasia human model

Author

Avansini, Simoni H, Puppo, Francesca, Adams, Jason W, Vieira, Andre S, Coan, Ana C, Rogerio, Fabio, Torres, Fabio R, Araújo, Patricia AOR, Martin, Mariana, Montenegro, Maria A, Yasuda, Clarissa L, Tedeschi, Helder, Ghizoni, Enrico, França, Andréa FEC, Alvim, Marina KM, Athié, Maria C, Rocha, Cristiane S, Almeida, Vanessa S, Dias, Elayne V, Delay, Lauriane, Molina, Elsa, Yaksh, Tony L, Cendes, Fernando, Lopes Cendes, Iscia, and Muotri, Alysson R

Subjects
Congenital Structural Anomalies, Pediatric, Neurosciences, Aetiology, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Underpinning research, Neurological, Brain, Epilepsy, Humans, Infant, Newborn, Malformations of Cortical Development, Malformations of Cortical Development, Group I, Neurons, focal cortical dysplasia, cortical organoids, cell adhesion, cell proliferation, neuronal network, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

Focal cortical dysplasia is a highly epileptogenic cortical malformation with few treatment options. Here, we generated human cortical organoids from patients with focal cortical dysplasia type II. Using this human model, we mimicked some focal cortical dysplasia hallmarks, such as impaired cell proliferation, the presence of dysmorphic neurons and balloon cells, and neuronal network hyperexcitability. Furthermore, we observed alterations in the adherens junctions zonula occludens-1 and partitioning defective 3, reduced polarization of the actin cytoskeleton, and fewer synaptic puncta. Focal cortical dysplasia cortical organoids showed downregulation of the small GTPase RHOA, a finding that was confirmed in brain tissue resected from these patients. Functionally, both spontaneous and optogenetically-evoked electrical activity revealed hyperexcitability and enhanced network connectivity in focal cortical dysplasia organoids. Taken together, our findings suggest a ventricular zone instability in tissue cohesion of neuroepithelial cells, leading to a maturational arrest of progenitors or newborn neurons, which may predispose to cellular and functional immaturity and compromise the formation of neural networks in focal cortical dysplasia.

Published
2022

13. 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, Simon S, Cendes, Fernando, Alvim, Marina KM, Yasuda, Clarissa, Bonilha, Leonardo, Gleichgerrcht, Ezequiel, Focke, Niels K, Kreilkamp, Barbara AK, Domin, Martin, von Podewils, Felix, Langner, Soenke, Rummel, Christian, Rebsamen, Michael, Wiest, Roland, Martin, Pascal, Kotikalapudi, Raviteja, Bender, Benjamin, O’Brien, Terence J, Law, Meng, Sinclair, Benjamin, Vivash, Lucy, Kwan, Patrick, Desmond, Patricia M, Malpas, Charles B, 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 JA, Abela, Eugenio, Richardson, Mark P, Devinsky, Orrin, Severino, Mariasavina, Striano, Pasquale, Parodi, Costanza, Tortora, Domenico, Hatton, Sean N, 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

Subjects
Epilepsy, Neurodegenerative, Clinical Research, Brain Disorders, Neurosciences, Aetiology, 2.1 Biological and endogenous factors, Neurological, Adult, Atrophy, Connectome, Epilepsy, Temporal Lobe, Hippocampus, Humans, Magnetic Resonance Imaging, temporal lobe epilepsy, asymmetry, cortical thickness, multi-site, gradients, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
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 refine our notion of the neuropathology of temporal lobe epilepsy and may inform future discovery and validation of complementary MRI biomarkers in temporal lobe epilepsy.

Published
2022

15. 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 JA, 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 AK, Kwan, Patrick, Lariviere, Sara, Lenge, Matteo, Lopez, Seymour M, Martin, Pascal, Mascalchi, Mario, Moreira, José CV, Morita‐Sherman, Marcia E, Pardoe, Heath R, Pariente, Jose C, Raviteja, Kotikalapudi, Rocha, Cristiane S, Rodríguez‐Cruces, Raúl, Seeck, Margitta, Semmelroch, Mira KHG, 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, and Nazem‐Zadeh, Mohammad‐reza

Subjects
Brain Disorders, Biomedical Imaging, Neurosciences, Epilepsy, Neurodegenerative, 2.1 Biological and endogenous factors, Aetiology, Neurological, covariance, deep learning, DTI, event-based modeling, gene expression, genetics, imaging, MRI, quantitative, rsfMRI, ENIGMA Consortium Epilepsy Working Group, Cognitive Sciences, Experimental Psychology
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
2022

16. Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression

Author

Larivière, Sara, Royer, Jessica, Rodríguez-Cruces, Raúl, Paquola, Casey, Caligiuri, Maria Eugenia, Gambardella, Antonio, Concha, Luis, Keller, Simon S, Cendes, Fernando, Yasuda, Clarissa L, Bonilha, Leonardo, Gleichgerrcht, Ezequiel, Focke, Niels K, Domin, Martin, von Podewills, Felix, Langner, Soenke, Rummel, Christian, Wiest, Roland, Martin, Pascal, Kotikalapudi, Raviteja, O’Brien, Terence J, Sinclair, Benjamin, Vivash, Lucy, Desmond, Patricia M, Lui, Elaine, Vaudano, Anna Elisabetta, Meletti, Stefano, Tondelli, Manuela, 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, Winston, Gavin P, Griffin, Aoife, Singh, Aditi, Tiwari, Vijay K, Kreilkamp, Barbara AK, Lenge, Matteo, Guerrini, Renzo, Hamandi, Khalid, Foley, Sonya, Rüber, Theodor, Weber, Bernd, Depondt, Chantal, Absil, Julie, Carr, Sarah JA, Abela, Eugenio, Richardson, Mark P, Devinsky, Orrin, Severino, Mariasavina, Striano, Pasquale, Tortora, Domenico, Kaestner, Erik, Hatton, Sean N, Vos, Sjoerd B, Caciagli, Lorenzo, Duncan, John S, Whelan, Christopher D, Thompson, Paul M, Sisodiya, Sanjay M, Bernasconi, Andrea, Labate, Angelo, McDonald, Carrie R, Bernasconi, Neda, and Bernhardt, Boris C

Subjects
Neurodegenerative, Genetics, Neurosciences, Brain Disorders, Epilepsy, Aetiology, 2.1 Biological and endogenous factors, Neurological, Adult, Connectome, Epilepsy, Generalized, Epilepsy, Temporal Lobe, Gene Expression, Humans, Immunoglobulin E, Magnetic Resonance Imaging, Nerve Net
Abstract

Epilepsy is associated with genetic risk factors and cortico-subcortical network alterations, but associations between neurobiological mechanisms and macroscale connectomics remain unclear. This multisite ENIGMA-Epilepsy study examined whole-brain structural covariance networks in patients with epilepsy and related findings to postmortem epilepsy risk gene expression patterns. Brain network analysis included 578 adults with temporal lobe epilepsy (TLE), 288 adults with idiopathic generalized epilepsy (IGE), and 1328 healthy controls from 18 centres worldwide. Graph theoretical analysis of structural covariance networks revealed increased clustering and path length in orbitofrontal and temporal regions in TLE, suggesting a shift towards network regularization. Conversely, people with IGE showed decreased clustering and path length in fronto-temporo-parietal cortices, indicating a random network configuration. Syndrome-specific topological alterations reflected expression patterns of risk genes for hippocampal sclerosis in TLE and for generalized epilepsy in IGE. These imaging-transcriptomic signatures could potentially guide diagnosis or tailor therapeutic approaches to specific epilepsy syndromes.

Published
2022

17. Reproducibility in the absence of selective reporting: An illustration from large‐scale brain asymmetry research

Author

Kong, Xiang‐Zhen, Mathias, Samuel R, Guadalupe, Tulio, Abé, Christoph, Agartz, Ingrid, Akudjedu, Theophilus N, Aleman, Andre, Alhusaini, Saud, Allen, Nicholas B, Ames, David, Andreassen, Ole A, Vasquez, Alejandro Arias, Armstrong, Nicola J, Asherson, Phil, Bergo, Felipe, Bastin, Mark E, Batalla, Albert, Bauer, Jochen, Baune, Bernhard T, Baur‐Streubel, Ramona, Biederman, Joseph, Blaine, Sara K, Boedhoe, Premika, Bøen, Erlend, Bose, Anushree, Bralten, Janita, Brandeis, Daniel, Brem, Silvia, Brodaty, Henry, Yüksel, Dilara, Brooks, Samantha J, Buitelaar, Jan, Bürger, Christian, Bülow, Robin, Calhoun, Vince, Calvo, Anna, Canales‐Rodríguez, Erick Jorge, Cannon, Dara M, Caparelli, Elisabeth C, Castellanos, Francisco X, Cendes, Fernando, Chaim‐Avancini, Tiffany Moukbel, Chantiluke, Kaylita, Chen, Qun‐lin, Chen, Xiayu, Cheng, Yuqi, Christakou, Anastasia, Clark, Vincent P, Coghill, David, Connolly, Colm G, Conzelmann, Annette, Córdova‐Palomera, Aldo, Cousijn, Janna, Crow, Tim, Cubillo, Ana, Dannlowski, Udo, de Bruttopilo, Sara Ambrosino, de Zeeuw, Patrick, Deary, Ian J, Demeter, Damion V, Di Martino, Adriana, Dickie, Erin W, Dietsche, Bruno, Doan, Nhat Trung, Doherty, Colin P, Doyle, Alysa, Durston, Sarah, Earl, Eric, Ehrlich, Stefan, Ekman, Carl Johan, Elvsåshagen, Torbjørn, Epstein, Jeffery N, Fair, Damien A, Faraone, Stephen V, Fernández, Guillén, Flint, Claas, Filho, Geraldo Busatto, Förster, Katharina, Fouche, Jean‐Paul, Foxe, John J, Frodl, Thomas, Fuentes‐Claramonte, Paola, Fullerton, Janice M, Garavan, Hugh, do Santos Garcia, Danielle, Gotlib, Ian H, Goudriaan, Anna E, Grabe, Hans Jörgen, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Gurholt, Tiril, Haavik, Jan, Hahn, Tim, Hansell, Narelle K, Harris, Mathew A, Hartman, Catharina A, del Carmen Valdés Hernández, Maria, and Heslenfeld, Dirk

Subjects
Biological Psychology, Psychology, Neurosciences, Neurological, Adolescent, Adult, Aged, Brain Cortical Thickness, Cerebral Cortex, Datasets as Topic, Humans, Magnetic Resonance Imaging, Middle Aged, Multicenter Studies as Topic, Neuroimaging, Publication Bias, Reproducibility of Results, Young Adult, ENIGMA Laterality Working Group, P-hacking, multisite collaboration, publication bias, reproducibility, team science, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left-right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an "ideal publishing environment," that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes.

Published
2022

19. Morphological, cellular, and molecular basis of brain infection in COVID-19 patients

Author

Crunfli, Fernanda, Carregari, Victor C., Veras, Flavio P., Silva, Lucas S., Nogueira, Mateus Henrique, Antunes, André Saraiva Leão Marcelo, Vendramini, Pedro Henrique, Valença, Aline Gazzola Fragnani, Brandão-Teles, Caroline, da Silva Zuccoli, Giuliana, Reis-de-Oliveira, Guilherme, Silva-Costa, Lícia C., Saia-Cereda, Verônica Monteiro, Smith, Bradley J., Codo, Ana Campos, de Souza, Gabriela F., Muraro, Stéfanie P., Parise, Pierina Lorencini, Toledo-Teixeira, Daniel A., de Castro, Ícaro Maia Santos, Melo, Bruno Marcel, Almeida, Glaucia M., Firmino, Egidi Mayara Silva, Paiva, Isadora Marques, Silva, Bruna Manuella Souza, Guimarães, Rafaela Mano, Mendes, Niele D., Ludwig, Raíssa L., Ruiz, Gabriel P., Knittel, Thiago L., Davanzo, Gustavo G., Gerhardt, Jaqueline Aline, Rodrigues, Patrícia Brito, Forato, Julia, Amorim, Mariene Ribeiro, Brunetti, Natália S., Martini, Matheus Cavalheiro, Benatti, Maíra Nilson, Batah, Sabrina S., Siyuan, Li, João, Rafael B., Aventurato, Ítalo K., de Brito, Mariana Rabelo, Mendes, Maria J., da Costa, Beatriz A., Alvim, Marina K. M., da Silva Júnior, José Roberto, Damião, Lívia L., de Sousa, Iêda Maria P., da Rocha, Elessandra D., Gonçalves, Solange M., da Silva, Luiz H. Lopes, Bettini, Vanessa, Campos, Brunno M., Ludwig, Guilherme, Tavares, Lucas Alves, Pontelli, Marjorie Cornejo, Viana, Rosa Maria Mendes, Martins, Ronaldo B., Vieira, Andre Schwambach, Alves-Filho, José Carlos, Arruda, Eurico, Podolsky-Gondim, Guilherme Gozzoli, Santos, Marcelo Volpon, Neder, Luciano, Damasio, André, Rehen, Stevens, Vinolo, Marco Aurélio Ramirez, Munhoz, Carolina Demarchi, Louzada-Junior, Paulo, Oliveira, Renê Donizeti, Cunha, Fernando Q., Nakaya, Helder I., Mauad, Thais, Duarte-Neto, Amaro Nunes, da Silva, Luiz Fernando Ferraz, Dolhnikoff, Marisa, Saldiva, Paulo Hilario Nascimento, Farias, Alessandro S., Cendes, Fernando, Moraes-Vieira, Pedro Manoel M., Fabro, Alexandre T., Sebollela, Adriano, Proença-Modena, José L., Yasuda, Clarissa L., Mori, Marcelo A., Cunha, Thiago M., and Martins-de-Souza, Daniel

Published
2022

21. Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study

Author

Gleichgerrcht, Ezequiel, Munsell, Brent C, Alhusaini, Saud, Alvim, Marina KM, Bargalló, Núria, Bender, Benjamin, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Blackmon, Karen, Caligiuri, Maria Eugenia, Cendes, Fernando, Concha, Luis, Desmond, Patricia M, Devinsky, Orrin, Doherty, Colin P, Domin, Martin, Duncan, John S, Focke, Niels K, Gambardella, Antonio, Gong, Bo, Guerrini, Renzo, Hatton, Sean N, Kälviäinen, Reetta, Keller, Simon S, Kochunov, Peter, Kotikalapudi, Raviteja, Kreilkamp, Barbara AK, Labate, Angelo, Langner, Soenke, Larivière, Sara, Lenge, Matteo, Lui, Elaine, Martin, Pascal, Mascalchi, Mario, Meletti, Stefano, O'Brien, Terence J, Pardoe, Heath R, Pariente, Jose C, Rao, Jun Xian, Richardson, Mark P, Rodríguez-Cruces, Raúl, Rüber, Theodor, Sinclair, Ben, Soltanian-Zadeh, Hamid, Stein, Dan J, Striano, Pasquale, Taylor, Peter N, Thomas, Rhys H, Vaudano, Anna Elisabetta, Vivash, Lucy, von Podewills, Felix, Vos, Sjoerd B, Weber, Bernd, Yao, Yi, Yasuda, Clarissa Lin, Zhang, Junsong, Thompson, Paul M, Sisodiya, Sanjay M, McDonald, Carrie R, Bonilha, Leonardo, Group, ENIGMA-Epilepsy Working, Altmann, Andre, Depondt, Chantal, Galovic, Marian, Thomopoulos, Sophia I, and Wiest, Roland

Subjects
Biomedical Imaging, Neurodegenerative, Neurosciences, Brain Disorders, Prevention, Epilepsy, 2.1 Biological and endogenous factors, Aetiology, Neurological, Artificial Intelligence, Brain, Epilepsy, Temporal Lobe, Hippocampus, Humans, Magnetic Resonance Imaging, Sclerosis, Support Vector Machine, Temporal lobe epilepsy, Machine learning, Artificial inteligence, ENIGMA-Epilepsy Working Group
Abstract

Artificial intelligence has recently gained popularity across different medical fields to aid in the detection of diseases based on pathology samples or medical imaging findings. Brain magnetic resonance imaging (MRI) is a key assessment tool for patients with temporal lobe epilepsy (TLE). The role of machine learning and artificial intelligence to increase detection of brain abnormalities in TLE remains inconclusive. We used support vector machine (SV) and deep learning (DL) models based on region of interest (ROI-based) structural (n = 336) and diffusion (n = 863) brain MRI data from patients with TLE with ("lesional") and without ("non-lesional") radiographic features suggestive of underlying hippocampal sclerosis from the multinational (multi-center) ENIGMA-Epilepsy consortium. Our data showed that models to identify TLE performed better or similar (68-75%) compared to models to lateralize the side of TLE (56-73%, except structural-based) based on diffusion data with the opposite pattern seen for structural data (67-75% to diagnose vs. 83% to lateralize). In other aspects, structural and diffusion-based models showed similar classification accuracies. Our classification models for patients with hippocampal sclerosis were more accurate (68-76%) than models that stratified non-lesional patients (53-62%). Overall, SV and DL models performed similarly with several instances in which SV mildly outperformed DL. We discuss the relative performance of these models with ROI-level data and the implications for future applications of machine learning and artificial intelligence in epilepsy care.

Published
2021

22. Enhancing Safety in Epilepsy Surgery (EASINESS): Study Protocol for a Retrospective, Multicenter, Open Registry

Author

Drexler, Richard, Ben-Haim, Sharona, Bien, Christian G, Borger, Valeri, Cardinale, Francesco, Carpentier, Alexandre, Cendes, Fernando, Chandra, Sarat, Clusmann, Hans, Colon, Albert, de Curtis, Marco, Delev, Daniel, Didato, Giuseppe, Dührsen, Lasse, Farah, Jibril Osman, Guenot, Marc, Ghatan, Saadi, Haegelen, Claire, Hamer, Hajo, Hauptmann, Jason S, Jeffree, Rosalind L, Kalbhenn, Thilo, Kegele, Josua, Krayenbühl, Niklaus, Lang, Johannes, Mathon, Bertrand, Naros, Georgios, Onken, Julia, Panov, Fedor, Raftopoulos, Christian, Ricklefs, Franz L, Rijkers, Kim, Rizzi, Michele, Rössler, Karl, Schijns, Olaf, Schneider, Ulf C, Spyrantis, Andrea, Strzelczyk, Adam, Stodieck, Stefan, Tripathi, Manjari, Vadera, Sumeet, Alonso-Vanegas, Mario A, Vaz, José Géraldo Ribero, Wellmer, Jörg, Wehner, Tim, Westphal, Manfred, and Sauvigny, Thomas

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Patient Safety, Brain Disorders, Epilepsy, Neurosciences, Clinical Research, Neurodegenerative, Clinical Trials and Supportive Activities, Evaluation of treatments and therapeutic interventions, 6.4 Surgery, epilepsy, epilepsy surgery, temporal lobe epilepsy, outcome, benchmark, seizure outcome, amygdalohippocampectomy, anteromedial resection, Psychology, Clinical sciences, Biological psychology
Abstract

Introduction: Optimizing patient safety and quality improvement is increasingly important in surgery. Benchmarks and clinical quality registries are being developed to assess the best achievable results for several surgical procedures and reduce unwarranted variation between different centers. However, there is no clinical database from international centers for establishing standardized reference values of patients undergoing surgery for mesial temporal lobe epilepsy. Design: The Enhancing Safety in Epilepsy Surgery (EASINESS) study is a retrospectively conducted, multicenter, open registry. All patients undergoing mesial temporal lobe epilepsy surgery in participating centers between January 2015 and December 2019 are included in this study. The patient characteristics, preoperative diagnostic tools, surgical data, postoperative complications, and long-term seizure outcomes are recorded. Outcomes: The collected data will be used for establishing standardized reference values ("benchmarks") for this type of surgical procedure. The primary endpoints include seizure outcomes according to the International League Against Epilepsy (ILAE) classification and defined postoperative complications. Discussion: The EASINESS will define robust and standardized outcome references after amygdalohippocampectomy for temporal lobe epilepsy. After the successful definition of benchmarks from an international cohort of renowned centers, these data will serve as reference values for the evaluation of novel surgical techniques and comparisons among centers for future clinical trials. Clinical trial registration: This study is indexed at clinicaltrials.gov (NT 04952298).

Published
2021

23. Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study

Author

Larivière, Sara, Rodríguez-Cruces, Raúl, Royer, Jessica, Caligiuri, Maria Eugenia, Gambardella, Antonio, Concha, Luis, Keller, Simon S, Cendes, Fernando, Yasuda, Clarissa, Bonilha, Leonardo, Gleichgerrcht, Ezequiel, Focke, Niels K, Domin, Martin, von Podewills, Felix, Langner, Soenke, Rummel, Christian, Wiest, Roland, Martin, Pascal, Kotikalapudi, Raviteja, O’Brien, Terence J, Sinclair, Benjamin, Vivash, Lucy, Desmond, Patricia M, 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 JA, Abela, Eugenio, Richardson, Mark P, Devinsky, Orrin, Severino, Mariasavina, Striano, Pasquale, Tortora, Domenico, Hatton, Sean N, Vos, Sjoerd B, Duncan, John S, Whelan, Christopher D, Thompson, Paul M, Sisodiya, Sanjay M, Bernasconi, Andrea, Labate, Angelo, McDonald, Carrie R, Bernasconi, Neda, and Bernhardt, Boris C

Subjects
Mental Health, Brain Disorders, Epilepsy, Clinical Research, Neurosciences, Neurodegenerative, Aetiology, 2.1 Biological and endogenous factors, Neurological
Abstract

Epilepsy is increasingly conceptualized as a network disorder. In this cross-sectional mega-analysis, we integrated neuroimaging and connectome analysis to identify network associations with atrophy patterns in 1021 adults with epilepsy compared to 1564 healthy controls from 19 international sites. In temporal lobe epilepsy, areas of atrophy colocalized with highly interconnected cortical hub regions, whereas idiopathic generalized epilepsy showed preferential subcortical hub involvement. These morphological abnormalities were anchored to the connectivity profiles of distinct disease epicenters, pointing to temporo-limbic cortices in temporal lobe epilepsy and fronto-central cortices in idiopathic generalized epilepsy. Negative effects of age on atrophy further revealed a strong influence of connectome architecture in temporal lobe, but not idiopathic generalized, epilepsy. Our findings were reproduced across individual sites and single patients and were robust across different analytical methods. Through worldwide collaboration in ENIGMA-Epilepsy, we provided deeper insights into the macroscale features that shape the pathophysiology of common epilepsies.

Published
2020

24. White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study

Author

Hatton, Sean N, Huynh, Khoa H, Bonilha, Leonardo, Abela, Eugenio, Alhusaini, Saud, Altmann, Andre, Alvim, Marina KM, Balachandra, Akshara R, Bartolini, Emanuele, Bender, Benjamin, Bernasconi, Neda, Bernasconi, Andrea, Bernhardt, Boris, Bargallo, Núria, Caldairou, Benoit, Caligiuri, Maria E, Carr, Sarah JA, Cavalleri, Gianpiero L, Cendes, Fernando, Concha, Luis, Davoodi-bojd, Esmaeil, Desmond, Patricia M, Devinsky, Orrin, Doherty, Colin P, Domin, Martin, Duncan, John S, Focke, Niels K, Foley, Sonya F, Gambardella, Antonio, Gleichgerrcht, Ezequiel, Guerrini, Renzo, Hamandi, Khalid, Ishikawa, Akari, Keller, Simon S, Kochunov, Peter V, Kotikalapudi, Raviteja, Kreilkamp, Barbara AK, Kwan, Patrick, Labate, Angelo, Langner, Soenke, Lenge, Matteo, Liu, Min, Lui, Elaine, Martin, Pascal, Mascalchi, Mario, Moreira, José CV, Morita-Sherman, Marcia E, O’Brien, Terence J, Pardoe, Heath R, Pariente, José C, Ribeiro, Letícia F, Richardson, Mark P, Rocha, Cristiane S, Rodríguez-Cruces, Raúl, Rosenow, Felix, Severino, Mariasavina, Sinclair, Benjamin, Soltanian-Zadeh, Hamid, Striano, Pasquale, Taylor, Peter N, Thomas, Rhys H, Tortora, Domenico, Velakoulis, Dennis, Vezzani, Annamaria, Vivash, Lucy, von Podewils, Felix, Vos, Sjoerd B, Weber, Bernd, Winston, Gavin P, Yasuda, Clarissa L, Zhu, Alyssa H, Thompson, Paul M, Whelan, Christopher D, Jahanshad, Neda, Sisodiya, Sanjay M, and McDonald, Carrie R

Subjects
Genetics, Neurodegenerative, Epilepsy, Clinical Research, Brain Disorders, Neurosciences, Biomedical Imaging, Aetiology, 2.1 Biological and endogenous factors, Neurological, Adult, Brain, Diffusion Magnetic Resonance Imaging, Epileptic Syndromes, Female, Humans, Image Interpretation, Computer-Assisted, Male, Middle Aged, White Matter, epilepsy, diffusion tensor imaging, multisite analysis, white matter, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

The epilepsies are commonly accompanied by widespread abnormalities in cerebral white matter. ENIGMA-Epilepsy is a large quantitative brain imaging consortium, aggregating data to investigate patterns of neuroimaging abnormalities in common epilepsy syndromes, including temporal lobe epilepsy, extratemporal epilepsy, and genetic generalized epilepsy. Our goal was to rank the most robust white matter microstructural differences across and within syndromes in a multicentre sample of adult epilepsy patients. Diffusion-weighted MRI data were analysed from 1069 healthy controls and 1249 patients: temporal lobe epilepsy with hippocampal sclerosis (n = 599), temporal lobe epilepsy with normal MRI (n = 275), genetic generalized epilepsy (n = 182) and non-lesional extratemporal epilepsy (n = 193). A harmonized protocol using tract-based spatial statistics was used to derive skeletonized maps of fractional anisotropy and mean diffusivity for each participant, and fibre tracts were segmented using a diffusion MRI atlas. Data were harmonized to correct for scanner-specific variations in diffusion measures using a batch-effect correction tool (ComBat). Analyses of covariance, adjusting for age and sex, examined differences between each epilepsy syndrome and controls for each white matter tract (Bonferroni corrected at P

Published
2020

26. Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging

Author

for the ENIGMA consortium, Zhao, Yuji, Laansma, Max A., van Heese, Eva M., Owens-Walton, Conor, Parkes, Laura M., Debove, Ines, Rummel, Christian, Wiest, Roland, Cendes, Fernando, Guimaraes, Rachel, Yasuda, Clarissa Lin, Wang, Jiun-Jie, Anderson, Tim J., Dalrymple-Alford, John C., Melzer, Tracy R., Pitcher, Toni L., Schmidt, Reinhold, Schwingenschuh, Petra, Garraux, Gäetan, Rango, Mario, Squarcina, Letizia, Al-Bachari, Sarah, Emsley, Hedley C. A., Klein, Johannes C., Mackay, Clare E., Dirkx, Michiel F., Helmich, Rick, Assogna, Francesca, Piras, Fabrizio, Bright, Joanna K., Spalletta, Gianfranco, Poston, Kathleen, Lochner, Christine, McMillan, Corey T., Weintraub, Daniel, Druzgal, Jason, Newman, Benjamin, Van Den Heuvel, Odile A., Jahanshad, Neda, Thompson, Paul M., van der Werf, Ysbrand D., Gutman, Boris, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Abdulkadir, Ahmed, editor, Bathula, Deepti R., editor, Dvornek, Nicha C., editor, Habes, Mohamad, editor, Kia, Seyed Mostafa, editor, Kumar, Vinod, editor, and Wolfers, Thomas, editor

Published
2022
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29. Thank you to our reviewers in 2024.

Author

Cendes, Fernando

Subjects
*ACQUISITION of manuscripts, *SEBASTES marinus, *PHOTOCOPYING, *EDITORIAL boards, *LIBOR
Abstract

The document titled "Thank you to our reviewers in 2024" expresses gratitude to the associate editors, reviewers, and editorial board members of the Epilepsia journal for their contributions. The editor acknowledges the reviewers' thoughtful evaluations and constructive feedback, highlighting their essential role in maintaining the journal's quality and integrity. The document lists the names of numerous individuals who reviewed manuscripts in 2024, recognizing their invaluable time and effort in shaping the journal's impact. [Extracted from the article]

Published
2024
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30. Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium

Author

Kong, Xiang-Zhen, Mathias, Samuel R, Guadalupe, Tulio, Glahn, David C, Franke, Barbara, Crivello, Fabrice, Tzourio-Mazoyer, Nathalie, Fisher, Simon E, Thompson, Paul M, Francks, Clyde, Abé, Christoph, Agartz, Ingrid, Akudjedu, Theophilus N, Aleman, Andre, Alhusaini, Saud, Allen, Nicholas B, Ames, David, Andreassen, Ole A, Vasquez, Alejandro Arias, Armstrong, Nicola J, Bergo, Felipe, Bastin, Mark E, Batalla, Albert, Bauer, Jochen, Baune, Bernhard T, Baur-Streubel, Ramona, Biederman, Joseph, Blaine, Sara K, Boedhoe, Premika, Bøen, Erlend, Bose, Anushree, Bralten, Janita, Brandeis, Daniel, Brem, Silvia, Brodaty, Henry, Yüksel, Dilara, Brooks, Samantha J, Buitelaar, Jan, Bürger, Christian, Bülow, Robin, Calhoun, Vince, Calvo, Anna, Canales-Rodríguez, Erick Jorge, Canive, Jose M, Cannon, Dara M, Caparelli, Elisabeth C, Castellanos, Francisco X, Cavalleri, Gianpiero L, Cendes, Fernando, Chaim-Avancini, Tiffany Moukbel, Chantiluke, Kaylita, Chen, Qun-lin, Chen, Xiayu, Cheng, Yuqi, Christakou, Anastasia, Clark, Vincent P, Coghill, David, Connolly, Colm G, Conzelmann, Annette, Córdova-Palomera, Aldo, Cousijn, Janna, Crow, Tim, Cubillo, Ana, Dale, Anders, Dannlowski, Udo, Ambrosino de Bruttopilo, Sara, de Zeeuw, Patrick, Deary, Ian J, Delanty, Norman, Demeter, Damion V, Di Martino, Adriana, Dickie, Erin W, Dietsche, Bruno, Doan, N Trung, Doherty, Colin P, Doyle, Alysa, Durston, Sarah, Earl, Eric, Ehrlich, Stefan, Ekman, Carl Johan, Elvsåshagen, Torbjørn, Epstein, Jeffery N, Fair, Damien A, Faraone, Stephen V, Fernández, Guillén, Filho, Geraldo Busatto, Förster, Katharina, Fouche, Jean-Paul, Foxe, John J, Frodl, Thomas, Fuentes-Claramonte, Paola, Fullerton, Janice, Garavan, Hugh, Garcia, Danielle do Santos, Gotlib, Ian H, Goudriaan, Anna E, and Grabe, Hans Jörgen

Subjects
Neurosciences, Clinical Research, Brain Disorders, Mental Health, Biomedical Imaging, Underpinning research, 1.1 Normal biological development and functioning, Neurological, Mental health, Adolescent, Adult, Aged, Aged, 80 and over, Cerebral Cortex, Child, Child, Preschool, Databases, Factual, Female, Humans, Infant, Male, Middle Aged, Neuroimaging, Young Adult, brain asymmetry, lateralization, cortical thickness, surface area, meta-analysis, ENIGMA Laterality Working Group
Abstract

Hemispheric asymmetry is a cardinal feature of human brain organization. Altered brain asymmetry has also been linked to some cognitive and neuropsychiatric disorders. Here, the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium presents the largest-ever analysis of cerebral cortical asymmetry and its variability across individuals. Cortical thickness and surface area were assessed in MRI scans of 17,141 healthy individuals from 99 datasets worldwide. Results revealed widespread asymmetries at both hemispheric and regional levels, with a generally thicker cortex but smaller surface area in the left hemisphere relative to the right. Regionally, asymmetries of cortical thickness and/or surface area were found in the inferior frontal gyrus, transverse temporal gyrus, parahippocampal gyrus, and entorhinal cortex. These regions are involved in lateralized functions, including language and visuospatial processing. In addition to population-level asymmetries, variability in brain asymmetry was related to sex, age, and intracranial volume. Interestingly, we did not find significant associations between asymmetries and handedness. Finally, with two independent pedigree datasets (n = 1,443 and 1,113, respectively), we found several asymmetries showing significant, replicable heritability. The structural asymmetries identified and their variabilities and heritability provide a reference resource for future studies on the genetic basis of brain asymmetry and altered laterality in cognitive, neurological, and psychiatric disorders.

Published
2018

31. Neurologist–patient communication about epilepsy in the United States, Spain, and Germany

Author

Stern, John M, Cendes, Fernando, Gilliam, Frank, Kwan, Patrick, Ryvlin, Philippe, Sirven, Joseph, Smith, Brien, Adomas, Aleksandra, and Walter, Lauren

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Research, Health Services, Neurodegenerative, Epilepsy, Brain Disorders, Neurological, Good Health and Well Being
Abstract

BackgroundEffective communication between patients and their health care providers is recognized as critically important to improve the quality of health services for individuals with epilepsy. We aimed to describe in-office neurologist-patient conversations about epilepsy and focus on disease identification, shared decision-making, and care planning.MethodsTranscripts and audio recordings of conversations between patients and neurologists in the United States, Spain, and Germany were analyzed linguistically in the topic areas of epilepsy identification and diagnosis, disease education, treatments, and care planning. Analyses included word-level assessments, topic switching, strategies of information elicitation, identification of topics discussed, quantification of questions asked, and assessment of types of questions asked.ResultsConversations of 17 neurologists in the United States, 12 in Spain, and 6 in Germany, with 50, 20, and 16 patients, respectively, were analyzed. Neurologists tended to utilize an event-based, patient-friendly vocabulary to refer to seizures, and in the United States, they avoided using the term "epilepsy." Regardless of who initiated the treatment discussion, the neurologists in all 3 countries were unilaterally responsible for the treatment decision and choice of medication. When describing a new medication, neurologists most often discussed potential side effects but did not review potential benefits. Neurologists rarely defined seizure control and did not ask patients what seizure control meant to them.ConclusionsWe identified opportunities related to vocabulary, decision-making, and treatment goal setting that could be targeted to improve neurologist-patient communication about epilepsy, and ultimately, the overall treatment experience and outcomes for patients.

Published
2018

32. Differences in structural and functional default mode network connectivity in amyloid positive mild cognitive impairment: a longitudinal study

Author

Magalhães, Thamires Naela Cardoso, Gerbelli, Christian Luiz Baptista, Pimentel-Silva, Luciana Ramalho, de Campos, Brunno Machado, de Rezende, Thiago Junqueira Ribeiro, Rizzi, Liara, Joaquim, Helena Passarelli Giroud, Talib, Leda Leme, Forlenza, Orestes Vicente, Cendes, Fernando, and Balthazar, Marcio Luiz Figueredo

Published
2022
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37. Epilepsy as a Network Disorder (2): What can we learn from other network disorders such as dementia and schizophrenia, and what are the implications for translational research?

Author

Scharfman, Helen E, Kanner, Andres M, Friedman, Alon, Blümcke, Ingmar, Crocker, Candice E, Cendes, Fernando, Diaz-Arrastia, Ramon, Förstl, Hans, Fenton, André A, Grace, Anthony A, Palop, Jorge, Morrison, Jason, Nehlig, Astrid, Prasad, Asuri, Wilcox, Karen S, Jette, Nathalie, and Pohlmann-Eden, Bernd

Subjects
Mental Health, Neurodegenerative, Neurosciences, Schizophrenia, Aging, Brain Disorders, Epilepsy, Serious Mental Illness, 2.1 Biological and endogenous factors, Aetiology, Mental health, Neurological, Dementia, Humans, Schizophrenic Psychology, Translational Research, Biomedical, Seizure, Alzheimer's disease, Psychosis, Preclinical, Circuit, Systems, Neuroscience, Neurology, Clinical Sciences, Neurology & Neurosurgery
Abstract

There is common agreement that many disorders of the central nervous system are 'complex', that is, there are many potential factors that influence the development of the disease, underlying mechanisms, and successful treatment. Most of these disorders, unfortunately, have no cure at the present time, and therapeutic strategies often have debilitating side effects. Interestingly, some of the 'complexities' of one disorder are found in another, and the similarities are often network defects. It seems likely that more discussions of these commonalities could advance our understanding and, therefore, have clinical implications or translational impact. With this in mind, the Fourth International Halifax Epilepsy Conference and Retreat was held as described in the prior paper, and this companion paper focuses on the second half of the meeting. Leaders in various subspecialties of epilepsy research were asked to address aging and dementia or psychosis in people with epilepsy (PWE). Commonalities between autism, depression, aging and dementia, psychosis, and epilepsy were the focus of the presentations and discussion. In the last session, additional experts commented on new conceptualization of translational epilepsy research efforts. Here, the presentations are reviewed, and salient points are highlighted.

Published
2018

39. Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study

Author

Altmann, Andre, Depondt, Chantal, Galovic, Marian, Thomopoulos, Sophia I., Wiest, Roland, Gleichgerrcht, Ezequiel, Munsell, Brent C., Alhusaini, Saud, Alvim, Marina K.M., Bargalló, Núria, Bender, Benjamin, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Blackmon, Karen, Caligiuri, Maria Eugenia, Cendes, Fernando, Concha, Luis, Desmond, Patricia M., Devinsky, Orrin, Doherty, Colin P., Domin, Martin, Duncan, John S., Focke, Niels K., Gambardella, Antonio, Gong, Bo, Guerrini, Renzo, Hatton, Sean N., Kälviäinen, Reetta, Keller, Simon S., Kochunov, Peter, Kotikalapudi, Raviteja, Kreilkamp, Barbara A.K., Labate, Angelo, Langner, Soenke, Larivière, Sara, Lenge, Matteo, Lui, Elaine, Martin, Pascal, Mascalchi, Mario, Meletti, Stefano, O'Brien, Terence J., Pardoe, Heath R., Pariente, Jose C., Xian Rao, Jun, Richardson, Mark P., Rodríguez-Cruces, Raúl, Rüber, Theodor, Sinclair, Ben, Soltanian-Zadeh, Hamid, Stein, Dan J., Striano, Pasquale, Taylor, Peter N., Thomas, Rhys H., Elisabetta Vaudano, Anna, Vivash, Lucy, von Podewills, Felix, Vos, Sjoerd B., Weber, Bernd, Yao, Yi, Lin Yasuda, Clarissa, Zhang, Junsong, Thompson, Paul M., Sisodiya, Sanjay M., McDonald, Carrie R., and Bonilha, Leonardo

Published
2021
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43. Montreal cognitive assessment in Brazilian adults with sickle cell disease: The burdens of poor sociocultural background

Author

Junqueira Fleury Silva, Pedro, primary, Martins Silva, Caroline, additional, Machado de Campos, Brunno, additional, de Melo Campos, Paula, additional, de Souza Medina, Samuel, additional, Lamonica, Andreza, additional, Coimbra Trindade, José Vitor, additional, Cendes, Fernando, additional, Costa, Fernando Ferreira, additional, Olalla Saad, Sara Teresinha, additional, and Deltreggia Benites, Bruno, additional

Published
2024
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45. A worldwide ENIGMA study on epilepsy-related gray and white matter compromise across the adult lifespan

Author

Chen, Judy, primary, Ngo, Alexander, additional, Rodríguez-Cruces, Raúl, additional, Royer, Jessica, additional, Caligiuri, Maria Eugenia, additional, Gambardella, Antonio, additional, Concha, Luis, additional, Keller, Simon S., additional, Cendes, Fernando, additional, Yasuda, Clarissa L., additional, Alvim, Marina K. M., additional, Bonilha, Leonardo, additional, Gleichgerrcht, Ezequiel, additional, Focke, Niels K., additional, Kreilkamp, Barbara, additional, Domin, Martin, additional, von Podewils, Felix, additional, Langner, Soenke, additional, Rummel, Christian, additional, Wiest, Roland, additional, Martin, Pascal, additional, Kotikalapudi, Raviteja, additional, Bender, Benjamin, additional, O’Brien, Terence J., additional, Sinclair, Benjamin, additional, Vivash, Lucy, additional, Kwan, Patrick, additional, Desmond, Patricia M., additional, Lui, Elaine, additional, Duma, Gian Marco, additional, Bonanni, Paolo, additional, Ballerini, Alice, additional, Vaudano, Anna Elisabetta, additional, Meletti, Stefano, additional, Tondelli, Manuela, 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, Rüber, Theodor, additional, Bauer, Tobias, additional, Weber, Bernd, additional, Caldairou, Benoit, additional, Depondt, Chantal, additional, Absil, Julie, additional, Carr, Sarah J. A., additional, Abela, Eugenio, additional, Richardson, Mark P., additional, Devinsky, Orrin, additional, Pardoe, Heath, additional, Severino, Mariasavina, additional, Striano, Pasquale, additional, Tortora, Domenico, additional, Kaestner, Erik, additional, Hatton, Sean N., additional, Arienzo, Donatello, additional, Vos, Sjoerd B., additional, Ryten, Mina, additional, Taylor, Peter N., additional, Duncan, John S., additional, Whelan, Christopher D., additional, Galovic, Marian, additional, Winston, Gavin P., additional, Thomopoulos, Sophia I., additional, Thompson, Paul M., additional, Sisodiya, Sanjay M., additional, Labate, Angelo, additional, McDonald, Carrie R., additional, Caciagli, Lorenzo, additional, Bernasconi, Neda, additional, Bernasconi, Andrea, additional, Larivière, Sara, additional, Schrader, Dewi, additional, and Bernhardt, Boris C., additional

Published
2024
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46. Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA‐Epilepsy study

Author

Kerestes, Rebecca, primary, Perry, Andrew, additional, Vivash, Lucy, additional, O'Brien, Terence J., additional, Alvim, Marina K. M., additional, Arienzo, Donatello, additional, Aventurato, Ítalo K., additional, Ballerini, Alice, additional, Baltazar, Gabriel F., additional, Bargalló, Núria, additional, Bender, Benjamin, additional, Brioschi, Ricardo, additional, Bürkle, Eva, additional, Caligiuri, Maria Eugenia, additional, Cendes, Fernando, additional, de Tisi, Jane, additional, Duncan, John S., additional, Engel, Jerome P., additional, Foley, Sonya, additional, Fortunato, Francesco, additional, Gambardella, Antonio, additional, Giacomini, Thea, additional, Guerrini, Renzo, additional, Hall, Gerard, additional, Hamandi, Khalid, additional, Ives‐Deliperi, Victoria, additional, João, Rafael B., additional, Keller, Simon S., additional, Kleiser, Benedict, additional, Labate, Angelo, additional, Lenge, Matteo, additional, Marotta, Cassandra, additional, Martin, Pascal, additional, Mascalchi, Mario, additional, Meletti, Stefano, additional, Owens‐Walton, Conor, additional, Parodi, Costanza B., additional, Pascual‐Diaz, Saül, additional, Powell, David, additional, Rao, Jun, additional, Rebsamen, Michael, additional, Reiter, Johannes, additional, Riva, Antonella, additional, Rüber, Theodor, additional, Rummel, Christian, additional, Scheffler, Freda, additional, Severino, Mariasavina, additional, Silva, Lucas S., additional, Staba, Richard J., additional, Stein, Dan J., additional, Striano, Pasquale, additional, Taylor, Peter N., additional, Thomopoulos, Sophia I., additional, Thompson, Paul M., additional, Tortora, Domenico, additional, Vaudano, Anna Elisabetta, additional, Weber, Bernd, additional, Wiest, Roland, additional, Winston, Gavin P., additional, Yasuda, Clarissa L., additional, Zheng, Hong, additional, McDonald, Carrie R., additional, Sisodiya, Sanjay M., additional, and Harding, Ian H., additional

Published
2024
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47. Genotype-specific spinal cord damage in spinocerebellar ataxias: an ENIGMA-Ataxia study

Author

Rezende, Thiago Junqueira Ribeiro, primary, Adanyaguh, Isaac, additional, Barsottini, Orlando G P, additional, Bender, Benjamin, additional, Cendes, Fernando, additional, Coutinho, Leo, additional, Deistung, Andreas, additional, Dogan, Imis, additional, Durr, Alexandra, additional, Fernandez-Ruiz, Juan, additional, Göricke, Sophia L, additional, Grisoli, Marina, additional, Hernandez-Castillo, Carlos R, additional, Lenglet, Christophe, additional, Mariotti, Caterina, additional, Martinez, Alberto R M, additional, Massuyama, Breno K, additional, Mochel, Fanny, additional, Nanetti, Lorenzo, additional, Nigri, Anna, additional, Ono, Sergio E, additional, Öz, Gülin, additional, Pedroso, José Luiz, additional, Reetz, Kathrin, additional, Synofzik, Matthis, additional, Teive, Helio, additional, Thomopoulos, Sophia I, additional, Thompson, Paul M, additional, Timmann, Dagmar, additional, van de Warrenburg, Bart P C, additional, van Gaalen, Judith, additional, França, Marcondes C, additional, and Harding, Ian H, additional

Published
2024
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48. ILAE neuroimaging task force highlight: Subcortical laminar heterotopia

Author

Kasper, Burkhard S., primary, Archer, John, additional, Bernhardt, Boris C., additional, Caciagli, Lorenzo, additional, Cendes, Fernando, additional, Chinvarun, Yotin, additional, Concha, Luis, additional, Federico, Paolo, additional, Gaillard, William, additional, Kobayashi, Eliane, additional, Ogbole, Godwin, additional, Vaudano, Anna Elisabetta, additional, Wang, Irene, additional, Wang, Shuang, additional, Winston, Gavin P., additional, and Rampp, Stefan, additional

Published
2024
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