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1. Integrating standard epilepsy protocol, ASL-perfusion, MP2RAGE/EDGE and the MELD-FCD classifier in the detection of subtle epileptogenic lesions: a 3 Tesla MRI pilot study

Author

Pastore, Luigi Vincenzo, Sudhakar, Sniya Valsa, Mankad, Kshitij, De Vita, Enrico, Biswas, Asthik, Tisdall, Martin M., Chari, Aswin, Figini, Matteo, Tahir, M. Zubair, Adler, Sophie, Moeller, Friederike, Cross, J. Helen, Pujar, Suresh, Wagstyl, Konrad, Ripart, Mathilde, Löbel, Ulrike, Cirillo, Luigi, and D’Arco, Felice

Published
2024
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4. Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach

Author

Spitzer, Hannah, Ripart, Mathilde, Fawaz, Abdulah, Williams, Logan Z. J., project, MELD, Robinson, Emma, Iglesias, Juan Eugenio, Adler, Sophie, and Wagstyl, Konrad

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Focal cortical dysplasia (FCD) is a leading cause of drug-resistant focal epilepsy, which can be cured by surgery. These lesions are extremely subtle and often missed even by expert neuroradiologists. "Ground truth" manual lesion masks are therefore expensive, limited and have large inter-rater variability. Existing FCD detection methods are limited by high numbers of false positive predictions, primarily due to vertex- or patch-based approaches that lack whole-brain context. Here, we propose to approach the problem as semantic segmentation using graph convolutional networks (GCN), which allows our model to learn spatial relationships between brain regions. To address the specific challenges of FCD identification, our proposed model includes an auxiliary loss to predict distance from the lesion to reduce false positives and a weak supervision classification loss to facilitate learning from uncertain lesion masks. On a multi-centre dataset of 1015 participants with surface-based features and manual lesion masks from structural MRI data, the proposed GCN achieved an AUC of 0.74, a significant improvement against a previously used vertex-wise multi-layer perceptron (MLP) classifier (AUC 0.64). With sensitivity thresholded at 67%, the GCN had a specificity of 71% in comparison to 49% when using the MLP. This improvement in specificity is vital for clinical integration of lesion-detection tools into the radiological workflow, through increasing clinical confidence in the use of AI radiological adjuncts and reducing the number of areas requiring expert review., Comment: accepted at MICCAI 2023

Published
2023

7. Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder

Author

Adamson, Chris, Adler, Sophie, Alexander-Bloch, Aaron F., Anagnostou, Evdokia, Anderson, Kevin M., Areces-Gonzalez, Ariosky, Astle, Duncan E., Auyeung, Bonnie, Ayub, Muhammad, Bae, Jong Bin, Ball, Gareth, Baron-Cohen, Simon, Beare, Richard, Bedford, Saashi A., Benegal, Vivek, Bethlehem, Richard A.I., Beyer, Frauke, Blangero, John, Cábez, Manuel Blesa, Boardman, James P., Borzage, Matthew, Bosch-Bayard, Jorge F., Bourke, Niall, Bullmore, Edward T., Calhoun, Vince D., Chakravarty, Mallar M., Chen, Christina, Chertavian, Casey, Chetelat, Gaël, Chong, Yap S., Corvin, Aiden, Costantino, Manuela, Courchesne, Eric, Crivello, Fabrice, Cropley, Vanessa L., Crosbie, Jennifer, Crossley, Nicolas, Delarue, Marion, Delorme, Richard, Desrivieres, Sylvane, Devenyi, Gabriel, Di Biase, Maria A., Dolan, Ray, Donald, Kirsten A., Donohoe, Gary, Dorfschmidt, Lena, Dunlop, Katharine, Edwards, Anthony D., Elison, Jed T., Ellis, Cameron T., Elman, Jeremy A., Eyler, Lisa, Fair, Damien A., Fletcher, Paul C., Fonagy, Peter, Franz, Carol E., Galan-Garcia, Lidice, Gholipour, Ali, Giedd, Jay, Gilmore, John H., Glahn, David C., Goodyer, Ian M., Grant, P.E., Groenewold, Nynke A., Gudapati, Shreya, Gunning, Faith M., Gur, Raquel E., Gur, Ruben C., Hammill, Christopher F., Hansson, Oskar, Hedden, Trey, Heinz, Andreas, Henson, Richard N., Heuer, Katja, Hoare, Jacqueline, Holla, Bharath, Holmes, Avram J., Huang, Hao, Ipser, Jonathan, Jack, Clifford R., Jr., Jackowski, Andrea P., Jia, Tianye, Jones, David T., Jones, Peter B., Kahn, Rene S., Karlsson, Hasse, Karlsson, Linnea, Kawashima, Ryuta, Kelley, Elizabeth A., Kern, Silke, Kim, Ki-Woong, Kitzbichler, Manfred G., Kremen, William S., Lalonde, François, Landeau, Brigitte, Lerch, Jason, Lewis, John D., Li, Jiao, Liao, Wei, Liston, Conor, Lombardo, Michael V., Lv, Jinglei, Mallard, Travis T., Marcelis, Machteld, Mathias, Samuel R., Mazoyer, Bernard, McGuire, Philip, Meaney, Michael J., Mechelli, Andrea, Misic, Bratislav, Morgan, Sarah E., Mothersill, David, Ortinau, Cynthia, Ossenkoppele, Rik, Ouyang, Minhui, Palaniyappan, Lena, Paly, Leo, Pan, Pedro M., Pantelis, Christos, Park, Min Tae M., Paus, Tomas, Pausova, Zdenka, Paz-Linares, Deirel, Binette, Alexa Pichet, Pierce, Karen, Qian, Xing, Qiu, Anqi, Raznahan, Armin, Rittman, Timothy, Rodrigue, Amanda, Rollins, Caitlin K., Romero-Garcia, Rafael, Ronan, Lisa, Rosenberg, Monica D., Rowitch, David H., Salum, Giovanni A., Satterthwaite, Theodore D., Schaare, H. Lina, Schabdach, Jenna, Schachar, Russell J., Schöll, Michael, Schultz, Aaron P., Seidlitz, Jakob, Sharp, David, Shinohara, Russell T., Skoog, Ingmar, Smyser, Christopher D., Sperling, Reisa A., Stein, Dan J., Stolicyn, Aleks, Suckling, John, Sullivan, Gemma, Thyreau, Benjamin, Toro, Roberto, Traut, Nicolas, Tsvetanov, Kamen A., Turk-Browne, Nicholas B., Tuulari, Jetro J., Tzourio, Christophe, Vachon-Presseau, Étienne, Valdes-Sosa, Mitchell J., Valdes-Sosa, Pedro A., Valk, Sofie L., van Amelsvoort, Therese, Vandekar, Simon N., Vasung, Lana, Vértes, Petra E., Victoria, Lindsay W., Villeneuve, Sylvia, Villringer, Arno, Vogel, Jacob W., Wagstyl, Konrad, Wang, Yin-Shan S., Warfield, Simon K., Warrier, Varun, Westman, Eric, Westwater, Margaret L., Whalley, Heather C., White, Simon R., Witte, A. Veronica, Yang, Ning, Yeo, B.T. Thomas, Yun, Hyuk Jin, Zalesky, Andrew, Zar, Heather J., Zettergren, Anna, Zhou, Juan H., Ziauddeen, Hisham, Zimmerman, Dabriel, Zugman, Andre, Zuo, Xi-Nian N., Ho, Natalie C.W., Nogovitsyn, Nikita, Metzak, Paul, Ballester, Pedro L., Hassel, Stefanie, Rotzinger, Susan, Poppenk, Jordan, Lam, Raymond W., Taylor, Valerie H., Milev, Roumen, Frey, Benicio N., Harkness, Kate L., Addington, Jean, and Kennedy, Sidney H.

Published
2024
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8. Robust and Generalisable Segmentation of Subtle Epilepsy-Causing Lesions: A Graph Convolutional Approach

Author

MELD Project, Spitzer, Hannah, Ripart, Mathilde, Fawaz, Abdulah, Williams, Logan Z. J., Robinson, Emma C., Iglesias, Juan Eugenio, Adler, Sophie, Wagstyl, Konrad, 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, Greenspan, Hayit, editor, Madabhushi, Anant, editor, Mousavi, Parvin, editor, Salcudean, Septimiu, editor, Duncan, James, editor, Syeda-Mahmood, Tanveer, editor, and Taylor, Russell, editor

Published
2023
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9. Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale

Author

Schiffer, Christian, Spitzer, Hannah, Kiwitz, Kai, Unger, Nina, Wagstyl, Konrad, Evans, Alan C., Harmeling, Stefan, Amunts, Katrin, and Dickscheid, Timo

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Human brain atlases provide spatial reference systems for data characterizing brain organization at different levels, coming from different brains. Cytoarchitecture is a basic principle of the microstructural organization of the brain, as regional differences in the arrangement and composition of neuronal cells are indicators of changes in connectivity and function. Automated scanning procedures and observer-independent methods are prerequisites to reliably identify cytoarchitectonic areas, and to achieve reproducible models of brain segregation. Time becomes a key factor when moving from the analysis of single regions of interest towards high-throughput scanning of large series of whole-brain sections. Here we present a new workflow for mapping cytoarchitectonic areas in large series of cell-body stained histological sections of human postmortem brains. It is based on a Deep Convolutional Neural Network (CNN), which is trained on a pair of section images with annotations, with a large number of un-annotated sections in between. The model learns to create all missing annotations in between with high accuracy, and faster than our previous workflow based on observer-independent mapping. The new workflow does not require preceding 3D-reconstruction of sections, and is robust against histological artefacts. It processes large data sets with sizes in the order of multiple Terabytes efficiently. The workflow was integrated into a web interface, to allow access without expertise in deep learning and batch computing. Applying deep neural networks for cytoarchitectonic mapping opens new perspectives to enable high-resolution models of brain areas, introducing CNNs to identify borders of brain areas., Comment: Preprint submitted to NeuroImage

Published
2020
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10. The molecular genetic landscape of human brain size variation

Author

Seidlitz, Jakob, Mallard, Travis T., Vogel, Jacob W., Lee, Younga H., Warrier, Varun, Ball, Gareth, Hansson, Oskar, Hernandez, Leanna M., Mandal, Ayan S., Wagstyl, Konrad, Lombardo, Michael V., Courchesne, Eric, Glessner, Joseph T., Satterthwaite, Theodore D., Bethlehem, Richard A.I., Bernstock, Joshua D., Tasaki, Shinya, Ng, Bernard, Gaiteri, Chris, Smoller, Jordan W., Ge, Tian, Gur, Raquel E., Gandal, Michael J., and Alexander-Bloch, Aaron F.

Published
2023
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11. Deciphering the functional specialization of whole-brain spatiomolecular gradients in the adult brain

Author

Vogel, Jacob W., primary, Alexander-Bloch, Aaron F., additional, Wagstyl, Konrad, additional, Bertolero, Maxwell A., additional, Markello, Ross D., additional, Pines, Adam, additional, Sydnor, Valerie J., additional, Diaz-Papkovich, Alex, additional, Hansen, Justine Y., additional, Evans, Alan C., additional, Bernhardt, Boris, additional, Misic, Bratislav, additional, Satterthwaite, Theodore D., additional, and Seidlitz, Jakob, additional

Published
2024
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13. Cortical structure : linking MRI and cytoarchitecture

Author

Wagstyl, Konrad and Fletcher, Paul

Subjects
611, MRI, Cytoarchitecture, Cortex
Abstract

MRI provides a powerful tool to investigate brain structure in living humans. However a major challenge is interpreting the biological underpinnings of changes at this scale. This dissertation describes investigations into the problem of linking microscale post mortem cortical cytoarchitecture with millimeter-scale measures of cortical anatomy accessible through in vivo MRI. Chapter 1 introduces the problem and previous work done to address it. The following two chapters apply classical atlases of cortical cytoarchitecture to understanding morphological changes both in health (Chapter 2) and in disease (Chapter 3). Chapter 2 demonstrates that sensory processing hierarchies exhibit increasing gradients of cortical thickness, related to changes in cortical cytoarchitecture. In Chapter 3, cytoarchitectonically described differences in gyral and sulcal laminar structure were used to create markers of laminar change from MRI changes in schizophrenia. Classical measurements of histology have limitations; they are observer dependent, two-dimensional with limited coverage of the cortex. To address these issues, Chapters 4-6 document work carried on BigBrain, a 3D 20$\mu$m resolution histological dataset. I created a high-resolution 3D atlas of laminar cytoarchitecture, which was mapped to MRI-compatible cortical surface reconstructions. Chapter 4 records the development of an automated 1D profile-based approach to laminar analysis, revealing basic principles of cortical cytoarchitecture. In Chapter 5 this approach was extended to identify 6 cortical layers throughout the isocortex. These tools can be used to segment 1D cortical intensity profiles derived from any modality. In Chapter 6, the analysis of cortical gradients initially identified using MRI cortical thickness in Chapter 2 was replicated and extended using novel histological data. First histological cortical thicknesses were tested for the same patterns organization measured on in vivo MRI in Chapter 2. These analyses were extended to test which layers contributed most to overall thickness. High-resolution, complete maps of cortical cytoarchitecture mapped to MRI-template cortical surface reconstructions, are a powerful tool and dataset for the neuroimaging community. They offer new possibilities for linking cortical microstructure to in vivo neuroimaging.

Published
2018
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15. Atypical brain aging and its association with working memory performance in major depressive disorder

Author

Ho, Natalie C.W., primary, Bethlehem, Richard AI., additional, Seidlitz, Jakob, additional, Nogovitsyn, Nikita, additional, Metzak, Paul, additional, Ballester, Pedro L., additional, Hassel, Stefanie, additional, Rotzinger, Susan, additional, Poppenk, Jordan, additional, Lam, Raymond W., additional, Taylor, Valerie H., additional, Milev, Roumen, additional, Adamson, Chris, additional, Adler, Sophie, additional, Alexander-Bloch, Aaron F., additional, Anagnostou, Evdokia, additional, Anderson, Kevin M., additional, Areces-Gonzalez, Ariosky, additional, Astle, Duncan E., additional, Auyeung, Bonnie, additional, Ayub, Muhammad, additional, Bae, Jong Bin, additional, Ball, Gareth, additional, Baron-Cohen, Simon, additional, Beare, Richard, additional, Bedford, Saashi A., additional, Benegal, Vivek, additional, Bethlehem, Richard A.I., additional, Beyer, Frauke, additional, Blangero, John, additional, Blesa Cábez, Manuel, additional, Boardman, James P., additional, Borzage, Matthew, additional, Bosch-Bayard, Jorge F., additional, Bourke, Niall, additional, Bullmore, Edward T., additional, Calhoun, Vince D., additional, Chakravarty, Mallar M., additional, Chen, Christina, additional, Chertavian, Casey, additional, Chetelat, Gaël, additional, Chong, Yap S., additional, Corvin, Aiden, additional, Costantino, Manuela, additional, Courchesne, Eric, additional, Crivello, Fabrice, additional, Cropley, Vanessa L., additional, Crosbie, Jennifer, additional, Crossley, Nicolas, additional, Delarue, Marion, additional, Delorme, Richard, additional, Desrivieres, Sylvane, additional, Devenyi, Gabriel, additional, Di Biase, Maria A., additional, Dolan, Ray, additional, Donald, Kirsten A., additional, Donohoe, Gary, additional, Dorfschmidt, Lena, additional, Dunlop, Katharine, additional, Edwards, Anthony D., additional, Elison, Jed T., additional, Ellis, Cameron T., additional, Elman, Jeremy A., additional, Eyler, Lisa, additional, Fair, Damien A., additional, Fletcher, Paul C., additional, Fonagy, Peter, additional, Franz, Carol E., additional, Galan-Garcia, Lidice, additional, Gholipour, Ali, additional, Giedd, Jay, additional, Gilmore, John H., additional, Glahn, David C., additional, Goodyer, Ian M., additional, Grant, P.E., additional, Groenewold, Nynke A., additional, Gudapati, Shreya, additional, Gunning, Faith M., additional, Gur, Raquel E., additional, Gur, Ruben C., additional, Hammill, Christopher F., additional, Hansson, Oskar, additional, Hedden, Trey, additional, Heinz, Andreas, additional, Henson, Richard N., additional, Heuer, Katja, additional, Hoare, Jacqueline, additional, Holla, Bharath, additional, Holmes, Avram J., additional, Huang, Hao, additional, Ipser, Jonathan, additional, Jack, Clifford R., additional, Jackowski, Andrea P., additional, Jia, Tianye, additional, Jones, David T., additional, Jones, Peter B., additional, Kahn, Rene S., additional, Karlsson, Hasse, additional, Karlsson, Linnea, additional, Kawashima, Ryuta, additional, Kelley, Elizabeth A., additional, Kern, Silke, additional, Kim, Ki-Woong, additional, Kitzbichler, Manfred G., additional, Kremen, William S., additional, Lalonde, François, additional, Landeau, Brigitte, additional, Lerch, Jason, additional, Lewis, John D., additional, Li, Jiao, additional, Liao, Wei, additional, Liston, Conor, additional, Lombardo, Michael V., additional, Lv, Jinglei, additional, Mallard, Travis T., additional, Marcelis, Machteld, additional, Mathias, Samuel R., additional, Mazoyer, Bernard, additional, McGuire, Philip, additional, Meaney, Michael J., additional, Mechelli, Andrea, additional, Misic, Bratislav, additional, Morgan, Sarah E., additional, Mothersill, David, additional, Ortinau, Cynthia, additional, Ossenkoppele, Rik, additional, Ouyang, Minhui, additional, Palaniyappan, Lena, additional, Paly, Leo, additional, Pan, Pedro M., additional, Pantelis, Christos, additional, Park, Min Tae M., additional, Paus, Tomas, additional, Pausova, Zdenka, additional, Paz-Linares, Deirel, additional, Pichet Binette, Alexa, additional, Pierce, Karen, additional, Qian, Xing, additional, Qiu, Anqi, additional, Raznahan, Armin, additional, Rittman, Timothy, additional, Rodrigue, Amanda, additional, Rollins, Caitlin K., additional, Romero-Garcia, Rafael, additional, Ronan, Lisa, additional, Rosenberg, Monica D., additional, Rowitch, David H., additional, Salum, Giovanni A., additional, Satterthwaite, Theodore D., additional, Schaare, H. Lina, additional, Schabdach, Jenna, additional, Schachar, Russell J., additional, Schöll, Michael, additional, Schultz, Aaron P., additional, Sharp, David, additional, Shinohara, Russell T., additional, Skoog, Ingmar, additional, Smyser, Christopher D., additional, Sperling, Reisa A., additional, Stein, Dan J., additional, Stolicyn, Aleks, additional, Suckling, John, additional, Sullivan, Gemma, additional, Thyreau, Benjamin, additional, Toro, Roberto, additional, Traut, Nicolas, additional, Tsvetanov, Kamen A., additional, Turk-Browne, Nicholas B., additional, Tuulari, Jetro J., additional, Tzourio, Christophe, additional, Vachon-Presseau, Étienne, additional, Valdes-Sosa, Mitchell J., additional, Valdes-Sosa, Pedro A., additional, Valk, Sofie L., additional, van Amelsvoort, Therese, additional, Vandekar, Simon N., additional, Vasung, Lana, additional, Vértes, Petra E., additional, Victoria, Lindsay W., additional, Villeneuve, Sylvia, additional, Villringer, Arno, additional, Vogel, Jacob W., additional, Wagstyl, Konrad, additional, Wang, Yin-Shan S., additional, Warfield, Simon K., additional, Warrier, Varun, additional, Westman, Eric, additional, Westwater, Margaret L., additional, Whalley, Heather C., additional, White, Simon R., additional, Witte, A. Veronica, additional, Yang, Ning, additional, Yeo, B.T. Thomas, additional, Yun, Hyuk Jin, additional, Zalesky, Andrew, additional, Zar, Heather J., additional, Zettergren, Anna, additional, Zhou, Juan H., additional, Ziauddeen, Hisham, additional, Zimmerman, Dabriel, additional, Zugman, Andre, additional, Zuo, Xi-Nian N., additional, Frey, Benicio N., additional, Harkness, Kate L., additional, Addington, Jean, additional, and Kennedy, Sidney H., additional

Published
2024
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17. LayNii: A software suite for layer-fMRI

Author

Huber, Laurentius (Renzo), Poser, Benedikt A., Bandettini, Peter A., Arora, Kabir, Wagstyl, Konrad, Cho, Shinho, Goense, Jozien, Nothnagel, Nils, Morgan, Andrew Tyler, van den Hurk, Job, Müller, Anna K, Reynolds, Richard C., Glen, Daniel R., Goebel, Rainer, and Gulban, Omer Faruk

Published
2021
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19. WONOEP 2022: Neurotechnology for the diagnosis of epilepsy.

Author

Wagstyl, Konrad, Kobow, Katja, Casillas‐Espinosa, Pablo M., Cole, Andrew J., Jiménez‐Jiménez, Diego, Nariai, Hiroki, Baulac, Stéphanie, O'Brien, Terence, Henshall, David C., Akman, Ozlem, Sankar, Raman, Galanopoulou, Aristea S., and Auvin, Stéphane

Subjects
*PARTIAL epilepsy, *DIAGNOSIS of epilepsy, *SYMPTOMS, *GENETIC models, *ARTIFICIAL intelligence
Abstract

Epilepsy's myriad causes and clinical presentations ensure that accurate diagnoses and targeted treatments remain a challenge. Advanced neurotechnologies are needed to better characterize individual patients across multiple modalities and analytical techniques. At the XVIth Workshop on Neurobiology of Epilepsy: Early Onset Epilepsies: Neurobiology and Novel Therapeutic Strategies (WONOEP 2022), the session on "advanced tools" highlighted a range of approaches, from molecular phenotyping of genetic epilepsy models and resected tissue samples to imaging‐guided localization of epileptogenic tissue for surgical resection of focal malformations. These tools integrate cutting edge research, clinical data acquisition, and advanced computational methods to leverage the rich information contained within increasingly large datasets. A number of common challenges and opportunities emerged, including the need for multidisciplinary collaboration, multimodal integration, potential ethical challenges, and the multistage path to clinical translation. Despite these challenges, advanced epilepsy neurotechnologies offer the potential to improve our understanding of the underlying causes of epilepsy and our capacity to provide patient‐specific treatment. [ABSTRACT FROM AUTHOR]

Published
2024
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20. Long-term neuropsychological trajectories in children with epilepsy: does surgery halt decline?

Author

Eriksson, Maria H, Prentice, Freya, Piper, Rory J, Wagstyl, Konrad, Adler, Sophie, Chari, Aswin, Booth, John, Moeller, Friederike, Das, Krishna, Eltze, Christin, Cooray, Gerald, Caballero, Ana Perez, Menzies, Lara, McTague, Amy, Shavel-Jessop, Sara, Tisdall, Martin M, Cross, J Helen, Sanfilippo, Patricia Martin, and Baldeweg, Torsten

Subjects
COGNITIVE processing speed, EPILEPSY surgery, CHILDREN with epilepsy, INTELLIGENCE tests, PARTIAL epilepsy, TEMPORAL lobectomy
Abstract

Neuropsychological impairments are common in children with drug-resistant epilepsy. It has been proposed that epilepsy surgery might alleviate these impairments by providing seizure freedom; however, findings from prior studies have been inconsistent. We mapped long-term neuropsychological trajectories in children before and after undergoing epilepsy surgery, to measure the impact of disease course and surgery on functioning. We performed a retrospective cohort study of 882 children who had undergone epilepsy surgery at Great Ormond Street Hospital (1990–2018). We extracted patient information and neuropsychological functioning [obtained from IQ tests (domains: full-scale IQ, verbal IQ, performance IQ, working memory and processing speed) and tests of academic attainment (reading, spelling and numeracy)] and investigated changes in functioning using regression analyses. We identified 500 children (248 females) who had undergone epilepsy surgery [median age at surgery = 11.9 years, interquartile range = (7.8, 15.0)] and neuropsychological assessment. These children showed declines in all domains of neuropsychological functioning in the time leading up to surgery (all P -values ≤0.001; e.g. βFSIQ = −1.9, SEFSIQ = 0.3, P FSIQ < 0.001). Children lost on average one to four points per year, depending on the domain considered; 27%–43% declined by ≥10 points from their first to their last preoperative assessment. At the time of presurgical evaluation, most children (46%–60%) scored one or more standard deviations below the mean (<85) on the different neuropsychological domains; 37% of these met the threshold for intellectual disability (full-scale IQ < 70). On a group level, there was no change in performance from pre- to postoperative assessment on any of the domains (all P -values ≥0.128). However, children who became seizure free through surgery showed higher postoperative neuropsychological performance (e.g. r rb-FSIQ = 0.37, P < 0.001). These children continued to demonstrate improvements in neuropsychological functioning over the course of their long-term follow-up (e.g. βFSIQ = 0.9, SEFSIQ = 0.3, P FSIQ = 0.004). Children who had discontinued antiseizure medication treatment at 1-year follow-up showed an 8- to 13-point advantage in postoperative working memory, processing speed and numeracy, and greater improvements in verbal IQ, working memory, reading and spelling (all P -values ≤0.034) over the postoperative period compared with children who were seizure free and still receiving antiseizure medication. In conclusion, by providing seizure freedom and the opportunity for antiseizure medication cessation, epilepsy surgery might not only halt but reverse the downward trajectory that children with drug-resistant epilepsy display in neuropsychological functioning. To halt this decline as soon as possible or, potentially, to prevent it from occurring in the first place, children with focal epilepsy should be considered for epilepsy surgery as early as possible after diagnosis. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Early Prediction of Alzheimer’s Disease Progression Using Variational Autoencoders

Author

Basu, Sumana, Wagstyl, Konrad, Zandifar, Azar, Collins, Louis, Romero, Adriana, Precup, Doina, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Shen, Dinggang, editor, Liu, Tianming, editor, Peters, Terry M., editor, Staib, Lawrence H., editor, Essert, Caroline, editor, Zhou, Sean, editor, Yap, Pew-Thian, editor, and Khan, Ali, editor

Published
2019
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23. Transcriptional cartography integrates multiscale biology of the human cortex

Author

Wagstyl, Konrad, primary, Adler, Sophie, additional, Seidlitz, Jakob, additional, Vandekar, Simon, additional, Mallard, Travis T, additional, Dear, Richard, additional, DeCasien, Alex R, additional, Satterthwaite, Theodore D, additional, Liu, Siyuan, additional, Vértes, Petra E, additional, Shinohara, Russell T, additional, Alexander-Bloch, Aaron, additional, Geschwind, Daniel H, additional, and Raznahan, Armin, additional

Published
2024
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24. Author Response: Transcriptional cartography integrates multiscale biology of the human cortex

Author

Wagstyl, Konrad, primary, Adler, Sophie, additional, Seidlitz, Jakob, additional, Vandekar, Simon, additional, Mallard, Travis T, additional, Dear, Richard, additional, DeCasien, Alex R, additional, Satterthwaite, Theodore D, additional, Liu, Siyuan, additional, Vértes, Petra E, additional, Shinohara, Russell T, additional, Alexander-Bloch, Aaron, additional, Geschwind, Daniel H, additional, and Raznahan, Armin, additional

Published
2024
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26. Automated and Interpretable Detection of Hippocampal Sclerosis in temporal lobe epilepsy: AID-HS

Author

Ripart, Mathilde, primary, DeKraker, Jordan, additional, Eriksson, Maria H, additional, Piper, Rory J., additional, Mo, Jia-Jie, additional, Su, Ting-Yu, additional, Kochi, Ryuzaburo, additional, Wang, Irene, additional, Winston, Gavin P, additional, Clark, Chris A, additional, D’Arco, Felice, additional, Mankad, Kshitij, additional, Khan, Ali R., additional, Baldeweg, Torsten, additional, Adler, Sophie, additional, and Wagstyl, Konrad, additional

Published
2023
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28. Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders

Author

Seidlitz, Jakob, Nadig, Ajay, Liu, Siyuan, Bethlehem, Richard A. I., Vértes, Petra E., Morgan, Sarah E., Váša, František, Romero-Garcia, Rafael, Lalonde, François M., Clasen, Liv S., Blumenthal, Jonathan D., Paquola, Casey, Bernhardt, Boris, Wagstyl, Konrad, Polioudakis, Damon, de la Torre-Ubieta, Luis, Geschwind, Daniel H., Han, Joan C., Lee, Nancy R., Murphy, Declan G., Bullmore, Edward T., and Raznahan, Armin

Published
2020
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29. Author Correction: Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders

Author

Seidlitz, Jakob, Nadig, Ajay, Liu, Siyuan, Bethlehem, Richard A. I., Vértes, Petra E., Morgan, Sarah E., Váša, František, Romero-Garcia, Rafael, Lalonde, François M., Clasen, Liv S., Blumenthal, Jonathan D., Paquola, Casey, Bernhardt, Boris, Wagstyl, Konrad, Polioudakis, Damon, de la Torre-Ubieta, Luis, Geschwind, Daniel H., Han, Joan C., Lee, Nancy R., Murphy, Declan G., Bullmore, Edward T., and Raznahan, Armin

Published
2020
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30. Lesion detection in epilepsy surgery: Lessons from a prospective evaluation of a machine learning algorithm

Author

Chari, Aswin, primary, Adler, Sophie, additional, Wagstyl, Konrad, additional, Seunarine, Kiran, additional, Tahir, M. Zubair, additional, Moeller, Friederike, additional, Thornton, Rachel, additional, Boyd, Steward, additional, Das, Krishna, additional, Cooray, Gerald, additional, Smith, Stuart, additional, D'Arco, Felice, additional, Baldeweg, Torsten, additional, Eltze, Christin, additional, Cross, J. Helen, additional, and Tisdall, Martin M., additional

Published
2023
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31. Pediatric epilepsy surgery from 2000 to 2018: Changes in referral and surgical volumes, patient characteristics, genetic testing, and postsurgical outcomes

Author

Eriksson, Maria H., primary, Whitaker, Kirstie J., additional, Booth, John, additional, Piper, Rory J., additional, Chari, Aswin, additional, Martin Sanfilippo, Patricia, additional, Caballero, Ana Perez, additional, Menzies, Lara, additional, McTague, Amy, additional, Adler, Sophie, additional, Wagstyl, Konrad, additional, Tisdall, Martin M., additional, Cross, J. Helen, additional, and Baldeweg, Torsten, additional

Published
2023
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32. Predicting seizure outcome after epilepsy surgery: Do we need more complex models, larger samples, or better data?

Author

Eriksson, Maria H., primary, Ripart, Mathilde, additional, Piper, Rory J., additional, Moeller, Friederike, additional, Das, Krishna B., additional, Eltze, Christin, additional, Cooray, Gerald, additional, Booth, John, additional, Whitaker, Kirstie J., additional, Chari, Aswin, additional, Martin Sanfilippo, Patricia, additional, Perez Caballero, Ana, additional, Menzies, Lara, additional, McTague, Amy, additional, Tisdall, Martin M., additional, Cross, J. Helen, additional, Baldeweg, Torsten, additional, Adler, Sophie, additional, and Wagstyl, Konrad, additional

Published
2023
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33. Lesion detection in epilepsy surgery: Lessons from a prospective evaluation of a machine learning algorithm.

Author

Chari, Aswin, Adler, Sophie, Wagstyl, Konrad, Seunarine, Kiran, Tahir, M. Zubair, Moeller, Friederike, Thornton, Rachel, Boyd, Steward, Das, Krishna, Cooray, Gerald, Smith, Stuart, D'Arco, Felice, Baldeweg, Torsten, Eltze, Christin, Cross, J. Helen, and Tisdall, Martin M.

Subjects
MACHINE learning, EPILEPSY surgery, PEDIATRIC surgery, FOCAL cortical dysplasia, TEMPORAL lobectomy, MAGNETIC resonance imaging, CLINICAL trials
Abstract

Aim: To evaluate a lesion detection algorithm designed to detect focal cortical dysplasia (FCD) in children undergoing stereoelectroencephalography (SEEG) as part of their presurgical evaluation for drug‐resistant epilepsy. Method: This was a prospective, single‐arm, interventional study (Idea, Development, Exploration, Assessment, and Long‐Term Follow‐Up phase 1/2a). After routine SEEG planning, structural magnetic resonance imaging sequences were run through an FCD lesion detection algorithm to identify putative clusters. If the top three clusters were not already sampled, up to three additional SEEG electrodes were added. The primary outcome measure was the proportion of patients who had additional electrode contacts in the SEEG‐defined seizure‐onset zone (SOZ). Results: Twenty patients (median age 12 years, range 4–18 years) were enrolled, one of whom did not undergo SEEG. Additional electrode contacts were part of the SOZ in 1 out of 19 patients while 3 out of 19 patients had clusters that were part of the SOZ but they were already implanted. A total of 16 additional electrodes were implanted in nine patients and there were no adverse events from the additional electrodes. Interpretation: We demonstrate early‐stage prospective clinical validation of a machine learning lesion detection algorithm used to aid the identification of the SOZ in children undergoing SEEG. We share key lessons learnt from this evaluation and emphasize the importance of robust prospective evaluation before routine clinical adoption of such algorithms. What this paper adds: The focal cortical dysplasia detection algorithm collocated with the seizure‐onset zone (SOZ) in 4 out of 19 patients.The algorithm changed the resection boundaries in 1 of 19 patients undergoing stereoelectroencephalography for drug‐resistant epilepsy.The patient with an altered resection due to the algorithm was seizure‐free 1 year after resective surgery.Overall, the algorithm did not increase the proportion of patients in whom SOZ was identified. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Transcriptional Cartography Integrates Multiscale Biology of the Human Cortex

Author

Wagstyl, Konrad, primary, Adler, Sophie, additional, Seidlitz, Jakob, additional, Vandekar, Simon, additional, Mallard, Travis T., additional, Dear, Richard, additional, DeCasien, Alex R., additional, Satterthwaite, Theodore D., additional, Liu, Siyuan, additional, Vértes, Petra E., additional, Shinohara, Russell T., additional, Alexander-Bloch, Aaron, additional, Geschwind, Daniel H., additional, and Raznahan, Armin, additional

Published
2023
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35. Artificial intelligence for the detection of focal cortical dysplasia: Challenges in translating algorithms into clinical practice

Author

Walger, Lennart, primary, Adler, Sophie, additional, Wagstyl, Konrad, additional, Henschel, Leonie, additional, David, Bastian, additional, Borger, Valeri, additional, Hattingen, Elke, additional, Vatter, Hartmut, additional, Elger, Christian E., additional, Baldeweg, Torsten, additional, Rosenow, Felix, additional, Urbach, Horst, additional, Becker, Albert, additional, Radbruch, Alexander, additional, Surges, Rainer, additional, Reuter, Martin, additional, Cendes, Fernando, additional, Wang, Zhong Irene, additional, Huppertz, Hans‐Jürgen, additional, and Rüber, Theodor, additional

Published
2023
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40. Predicting seizure outcome after epilepsy surgery: do we need more complex models, larger samples, or better data?

Author

Eriksson, Maria H, primary, Ripart, Mathilde, additional, Piper, Rory J, additional, Moeller, Friederike, additional, Das, Krishna B, additional, Eltze, Christin, additional, Cooray, Gerald, additional, Booth, John, additional, Whitaker, Kirstie J, additional, Chari, Aswin, additional, Sanfilippo, Patricia Martin, additional, Caballero, Ana Perez, additional, Menzies, Lara, additional, McTague, Amy, additional, Tisdall, Martin M, additional, Cross, J Helen, additional, Baldeweg, Torsten, additional, Adler, Sophie, additional, and Wagstyl, Konrad, additional

Published
2023
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43. Conserved whole-brain spatiomolecular gradients shape adult brain functional organization

Author

Vogel, Jacob W, primary, Alexander-Bloch, Aaron, additional, Wagstyl, Konrad, additional, Bertolero, Maxwell, additional, Markello, Ross, additional, Pines, Adam, additional, Sydnor, Valerie J, additional, Diaz-Papkovich, Alex, additional, Hansen, Justine, additional, Evans, Alan C, additional, Bernhardt, Boris, additional, Misic, Bratislav, additional, Satterthwaite, Theodore, additional, and Seidlitz, Jakob, additional

Published
2022
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44. 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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45. Transcriptional Cartography Integrates Multiscale Biology of the Human Cortex

Author

Wagstyl, Konrad, primary, Adler, Sophie, additional, Seidlitz, Jakob, additional, Vandekar, Simon, additional, Mallard, Travis T., additional, Dear, Richard, additional, DeCasien, Alex R., additional, Satterthwaite, Theodore D., additional, Liu, Siyuan, additional, Vértes, Petra E., additional, Shinohara, Russell T., additional, Alexander-Bloch, Aaron, additional, Geschwind, Daniel H., additional, and Raznahan, Armin, additional

Published
2022
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46. 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

47. 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

50. 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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