Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/30730
Title: Event-based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross-sectional data.
Austin Authors: 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 A K;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
Affiliation: The Florey Institute of Neuroscience and Mental Health
Neurology
Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, UK
Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK
Department of Neurology, University Hospital Zurich, Zurich, Switzerland
Department of Neurology, Emory University, Atlanta, USA
School of Computing, Newcastle University, Newcastle Upon Tyne, UK
Department of Neuroscience, Central Clinical School, Alfred Hospital, Monash University, Melbourne, Victoria, Australia
Departments of Medicine and Radiology, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
Division of Neuroscience, King's College London, London, UK
Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
University of Melbourne, Parkville, Victoria, Australia
Department of Neurology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
Chalfont Centre for Epilepsy, Chalfont St Peter, UK
Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
Wales Epilepsy Unit, Department of Neurology, University Hospital of Wales, Cardiff, UK
Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
Department of Neurology, Alpert Medical School of Brown University, Providence, Rhode Island, USA
Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
Institute of Neurology, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy
Magnetic Resonance Image Core Facility, August Pi i Sunyer Biomedical Research Institute, University of Barcelona, Barcelona, Spain
Department of Neurology and Neuroimaging Laboratory, University of Campinas, Campinas, Brazil
Institute of Neurobiology, National Autonomous University of Mexico, Querétaro, Mexico
Epilepsy Program, Neurology Department, Hospital Clinic of Barcelona, Barcelona, Spain
New York University Grossman School of Medicine, New York, New York, USA
Functional Imaging Unit, Department of Diagnostic Radiology and Neuroradiology, Greifswald University Medicine, Greifswald, Germany
Department of Neurology, University Medical Center, Göttingen, Germany
Department of Neurology, Medical University of South Carolina, Charleston, South Carolina, USA
Neuroscience Department, University of Florence, Florence, Italy
Neuroscience Institute, University of Cape Town, Cape Town, South Africa
Department of Radiology, Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany
Neuroscience Research Center, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy
Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, A. Meyer Children's Hospital, University of Florence, Florence, Italy
Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
Mario Serio Department of Clinical and Experimental Medical Sciences, University of Florence, Florence, Italy
Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
Department of Neurology, University of Campinas, Campinas, Brazil
Giannina Gaslini Institute, Scientific Institute for Research and Health Care, Genoa, Italy Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
Department of Epileptology, University Hospital Bonn, Bonn, Germany
Radiology and Research Administration, Henry Ford Health System, Detroit, Michigan, USA
SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
Giannina Gaslini Institute, Scientific Institute for Research and Health Care, Genoa, Italy
Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
Institute of Experimental Epileptology and Cognition Research, University of Bonn, Bonn, Germany
Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
Department of Medicine, Division of Neurology, Queen's University, Kingston, Ontario, Canada
Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
Cleveland Clinic Neurological Institute, Cleveland, Ohio, USA
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
FutureNeuro SFI Research Centre for Rare and Chronic Neurological Diseases, Dublin, Ireland
Primary Care Department, Local Health Authority of Modena, Modena, Italy
Department of Clinical Neurophysiology, University Hospital Göttingen, Göttingen, Germany
Neurology Unit, OCB Hospital, Modena University Hospital, Modena, Italy
Functional and Epilepsy Neurosurgery Unit, Neurosurgery Department, A. Meyer Children's Hospital, University of Florence, Florence, Italy
Issue Date: Aug-2022
Date: 2022-06-25
Publication information: Epilepsia 2022; 63(8): 2081-2095
Abstract: Recent 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. We 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. In 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. From 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.
URI: https://ahro.austin.org.au/austinjspui/handle/1/30730
DOI: 10.1111/epi.17316
ORCID: 0000-0002-8502-4487
0000-0003-3252-5365
0000-0002-6780-0761
0000-0001-9358-5703
0000-0002-8947-9518
0000-0001-9256-6041
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0000-0001-9336-9568
0000-0002-7842-3869
0000-0001-7436-987X
0000-0002-2433-9776
0000-0002-3953-9842
0000-0003-0044-4632
0000-0001-5486-6289
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0000-0001-7384-3074
0000-0002-4212-4146
0000-0002-7272-7079
0000-0003-2640-249X
0000-0001-5247-9795
0000-0002-8827-7324
0000-0001-5701-1307
0000-0003-0534-3718
0000-0003-0334-539X
0000-0002-8531-3916
0000-0001-9152-5571
0000-0002-6180-7671
0000-0002-0850-3644
0000-0002-6065-1476
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0000-0001-6698-5437
0000-0002-6280-7526
0000-0002-1182-0907
0000-0001-9395-1478
0000-0002-1511-5893
0000-0002-9265-2393
0000-0002-7917-5326
Journal: Epilepsia
PubMed URL: 35656586
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/35656586/
Type: Journal Article
Subjects: MTLE
disease progression
duration of illness
event-based model
patient staging
Appears in Collections:Journal articles

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