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Priya, Yadav N, Anand S, Banerjee J, Tripathi M, Chandra PS, Dixit AB. The multifaceted role of Wnt canonical signalling in neurogenesis, neuroinflammation, and hyperexcitability in mesial temporal lobe epilepsy. Neuropharmacology 2024; 251:109942. [PMID: 38570066 DOI: 10.1016/j.neuropharm.2024.109942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 03/18/2024] [Accepted: 03/29/2024] [Indexed: 04/05/2024]
Abstract
Epilepsy is a neurological disorder characterised by unprovoked, repetitive seizures caused by abnormal neuronal firing. The Wnt/β-Catenin signalling pathway is involved in seizure-induced neurogenesis, aberrant neurogenesis, neuroinflammation, and hyperexcitability associated with epileptic disorder. Wnt/β-Catenin signalling is crucial for early brain development processes including neuronal patterning, synapse formation, and N-methyl-d-aspartate receptor (NMDAR) regulation. Disruption of molecular networks such as Wnt/β-catenin signalling in epilepsy could offer encouraging anti-epileptogenic targets. So, with a better understanding of the canonical Wnt/-Catenin pathway, we highlight in this review the important elements of Wnt/-Catenin signalling specifically in Mesial Temporal Lobe Epilepsy (MTLE) for potential therapeutic targets.
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Affiliation(s)
- Priya
- Dr. B.R Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India
| | - Nitin Yadav
- Dr. B.R Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India
| | - Sneha Anand
- Dr. B.R Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India
| | - Jyotirmoy Banerjee
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Manjari Tripathi
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - P Sarat Chandra
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
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2
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Hatton SN, Huynh KH, Bonilha L, Abela E, Alhusaini S, Altmann A, Alvim MKM, Balachandra AR, Bartolini E, Bender B, Bernasconi N, Bernasconi A, Bernhardt B, Bargallo N, Caldairou B, Caligiuri ME, Carr SJA, Cavalleri GL, Cendes F, Concha L, Davoodi-bojd E, Desmond PM, Devinsky O, Doherty CP, Domin M, Duncan JS, Focke NK, Foley SF, Gambardella A, Gleichgerrcht E, Guerrini R, Hamandi K, Ishikawa A, Keller SS, Kochunov PV, Kotikalapudi R, Kreilkamp BAK, Kwan P, Labate A, Langner S, Lenge M, Liu M, Lui E, Martin P, Mascalchi M, Moreira JCV, Morita-Sherman ME, O’Brien TJ, Pardoe HR, Pariente JC, Ribeiro LF, Richardson MP, Rocha CS, Rodríguez-Cruces R, Rosenow F, Severino M, Sinclair B, Soltanian-Zadeh H, Striano P, Taylor PN, Thomas RH, Tortora D, Velakoulis D, Vezzani A, Vivash L, von Podewils F, Vos SB, Weber B, Winston GP, Yasuda CL, Zhu AH, Thompson PM, Whelan CD, Jahanshad N, Sisodiya SM, McDonald CR. White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study. Brain 2020; 143:2454-2473. [PMID: 32814957 PMCID: PMC7567169 DOI: 10.1093/brain/awaa200] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 04/07/2020] [Accepted: 04/30/2020] [Indexed: 12/22/2022] Open
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 < 0.001). Across 'all epilepsies' lower fractional anisotropy was observed in most fibre tracts with small to medium effect sizes, especially in the corpus callosum, cingulum and external capsule. There were also less robust increases in mean diffusivity. Syndrome-specific fractional anisotropy and mean diffusivity differences were most pronounced in patients with hippocampal sclerosis in the ipsilateral parahippocampal cingulum and external capsule, with smaller effects across most other tracts. Individuals with temporal lobe epilepsy and normal MRI showed a similar pattern of greater ipsilateral than contralateral abnormalities, but less marked than those in patients with hippocampal sclerosis. Patients with generalized and extratemporal epilepsies had pronounced reductions in fractional anisotropy in the corpus callosum, corona radiata and external capsule, and increased mean diffusivity of the anterior corona radiata. Earlier age of seizure onset and longer disease duration were associated with a greater extent of diffusion abnormalities in patients with hippocampal sclerosis. We demonstrate microstructural abnormalities across major association, commissural, and projection fibres in a large multicentre study of epilepsy. Overall, patients with epilepsy showed white matter abnormalities in the corpus callosum, cingulum and external capsule, with differing severity across epilepsy syndromes. These data further define the spectrum of white matter abnormalities in common epilepsy syndromes, yielding more detailed insights into pathological substrates that may explain cognitive and psychiatric co-morbidities and be used to guide biomarker studies of treatment outcomes and/or genetic research.
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Affiliation(s)
- Sean N Hatton
- Department of Neurosciences, Center for Multimodal Imaging and Genetics,
University of California San Diego, La Jolla 92093 CA, USA
| | - Khoa H Huynh
- Center for Multimodal Imaging and Genetics, University of California San
Diego, La Jolla 92093 CA, USA
| | - Leonardo Bonilha
- Department of Neurology, Medical University of South Carolina,
Charleston 29425 SC, USA
| | - Eugenio Abela
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry,
Psychology and Neuroscience, Kings College London, London SE5 9NU UK
| | - Saud Alhusaini
- Neurology Department, Yale School of Medicine, New Haven 6510 CT,
USA
- Molecular and Cellular Therapeutics, The Royal College of Surgeons in
Ireland, Dublin, Ireland
| | - Andre Altmann
- Centre of Medical Image Computing, Department of Medical Physics and Biomedical
Engineering, University College London, London WC1V 6LJ, UK
| | - Marina K M Alvim
- Department of Neurology, University of Campinas - UNICAMP, Campinas 13083-888
São Paulo, Brazil
| | - Akshara R Balachandra
- Center for Multimodal Imaging and Genetics, UCSD School of
Medicine, La Jolla 92037 CA, USA
- Boston University School of Medicine, Boston 2118 MA, USA
| | - Emanuele Bartolini
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories,
Children’s Hospital A. Meyer-University of Florence, Florence, Italy
- USL Centro Toscana, Neurology Unit, Nuovo Ospedale Santo Stefano,
Prato, Italy
| | - Benjamin Bender
- Department of Diagnostic and Interventional Neuroradiology, University Hospital
Tübingen, Tübingen 72076, Germany
| | - Neda Bernasconi
- Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute, McGill
University, Montreal H3A 2B4 QC, Canada
| | - Andrea Bernasconi
- Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute, McGill
University, Montreal H3A 2B4 QC, Canada
| | - Boris Bernhardt
- Montreal Neurological Institute, McGill University, Montreal
H3A2B4 QC, Canada
| | - Núria Bargallo
- Magnetic Resonance Image Core Facility, Institut d’Investigacions Biomèdiques
August Pi i Sunyer (IDIBAPS), Barcelona 8036 Barcelona, Spain
| | - Benoit Caldairou
- Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute, McGill
University, Montreal H3A 2B4 QC, Canada
| | - Maria E Caligiuri
- Neuroscience Research Center, University Magna Graecia, viale Europa,
Germaneto, 88100, Catanzaro, Italy
| | - Sarah J A Carr
- Neuroscience, Institute of Psychiatry, Psychology and
Neuroscience, De Crespigny Park, London SE5 8AF, UK
| | - Gianpiero L Cavalleri
- Royal College of Surgeons in Ireland, School of Pharmacy and Biomolecular
Sciences, Dublin D02 YN77 Ireland
- FutureNeuro Research Centre, Science Foundation Ireland, Dublin
D02 YN77, Ireland
| | - Fernando Cendes
- Department of Neurology, University of Campinas - UNICAMP, Campinas 13083-888
São Paulo, Brazil
| | - Luis Concha
- Institute of Neurobiology, Universidad Nacional Autonoma de
Mexico, Queretaro 76230, Mexico
| | - Esmaeil Davoodi-bojd
- Radiology and Research Administration, Henry Ford Hospital, 1
Detroit 48202 MI, USA
| | - Patricia M Desmond
- Department of Radiology, Royal Melbourne Hospital, University of
Melbourne, Melbourne 3050 Victoria, Australia
| | | | - Colin P Doherty
- Division of Neurology, Trinity College Dublin, TBSI, Pearce
Street, Dublin D02 R590, Ireland
- FutureNeuro SFI Centre for Neurological Disease, RCSI, St Stephen’s
Green, Dublin D02 H903, Ireland
| | - Martin Domin
- Functional Imaging Unit, University Medicine Greifswald,
Greifswald 17475 M/V, Germany
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of
Neurology, Queen Square, London WC1N 3BG, UK
- MRI Unit, Chalfont Centre for Epilepsy, Chalfont-St-Peter,
Buckinghamshire SL9 0RJ, UK
| | - Niels K Focke
- Clinical Neurophysiology, University Medicine Göttingen, 37099
Göttingen, Germany
- Department of Epileptology, University of Tübingen, 72076
Tübingen, Germany
| | | | - Antonio Gambardella
- Royal College of Surgeons in Ireland, School of Pharmacy and Biomolecular
Sciences, Dublin D02 YN77 Ireland
- Institute of Neurology, University Magna Graecia, 88100,
Catanzaro, Italy
| | | | - Renzo Guerrini
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories,
Children’s Hospital A. Meyer-University of Florence, Florence, Italy
| | - Khalid Hamandi
- The Wales Epilepsy Unit, Cardiff and Vale University Health
Board, Cardiff CF144XW, UK
- Brain Research Imaging Centre, Cardiff University, Cardiff CF24
4HQ, UK
| | - Akari Ishikawa
- Department of Neurology, University of Campinas - UNICAMP, Campinas 13083-888
São Paulo, Brazil
| | - Simon S Keller
- Institute of Translational Medicine, University of Liverpool,
Liverpool L69 3BX, UK
- Walton Centre NHS Foundation Trust, Liverpool L9 7LJ, UK
| | - Peter V Kochunov
- Maryland Psychiatric Research Center, 55 Wade Ave, Baltimore
21228, MD, USA
| | - Raviteja Kotikalapudi
- Department of Neurology and Epileptology, University Hospital
Tübingen, Tübingen 72076 BW, Germany
- Department of Diagnostic and Interventional Neuroradiology, University Hospital
Tübingen, Tübingen 72076 BW, Germany
| | - Barbara A K Kreilkamp
- Institute of Translational Medicine, University of Liverpool,
Liverpool L69 3BX, UK
- Walton Centre NHS Foundation Trust, Liverpool L9 7LJ, UK
| | - Patrick Kwan
- Department of Neuroscience, Central Clinical School, Monash
University, Melbourne 3004 Victoria, Australia
- Department of Medicine, University of Melbourne, Royal Melbourne
Hospital, Parkville 3050 Victoria, Australia
| | - Angelo Labate
- Neuroscience Research Center, University Magna Graecia, viale Europa,
Germaneto, 88100, Catanzaro, Italy
- Institute of Neurology, University Magna Graecia, 88100,
Catanzaro, Italy
| | - Soenke Langner
- Institute for Diagnostic Radiology and Neuroradiology, Ernst Moritz Arndt
University Greifswald Faculty of Medicine, Greifswald 17475, Germany
- Institute for Diagnostic and Interventional Radiology, Pediatric and
Neuroradiology, Rostock University Medical Centre, Rostock 18057, Germany
| | - Matteo Lenge
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories,
Children’s Hospital A. Meyer-University of Florence, Florence, Italy
- Functional and Epilepsy Neurosurgery Unit, Children’s Hospital A.
Meyer-University of Florence, Florence 50139, Italy
| | - Min Liu
- Department of Neurology, Montreal Neurological Institute,
Montreal H3A 2B4 QC, Canada
| | - Elaine Lui
- Department of Radiology, Royal Melbourne Hospital, University of
Melbourne, Melbourne 3050 Victoria, Australia
- Department of Medicine and Radiology, University of Melbourne,
3Parkville 3050 Victoria, Australia
| | - Pascal Martin
- Department of Epileptology, University of Tübingen, 72076
Tübingen, Germany
| | - Mario Mascalchi
- Meyer Children Hospital University of Florence, Florence 50130
Tuscany, Italy
| | - José C V Moreira
- Department of Neurology, University of Campinas - UNICAMP, Campinas 13083-888
São Paulo, Brazil
| | - Marcia E Morita-Sherman
- Department of Neurology, University of Campinas - UNICAMP, Campinas 13083-888
São Paulo, Brazil
- Cleveland Clinic, Cleveland 44195 OH, USA
| | - Terence J O’Brien
- Department of Neuroscience, Central Clinical School, Monash
University, Melbourne 3004 Victoria, Australia
- Department of Medicine, University of Melbourne, Royal Melbourne
Hospital, Parkville 3050 Victoria, Australia
- Department of Neurology, Alfred Health, Melbourne 3004 Victoria,
Australia
| | - Heath R Pardoe
- Department of Neurology, New York University School of Medicine,
New York City 10016 NY, USA
| | - José C Pariente
- Magnetic Resonance Image Core Facility, Institut d’Investigacions Biomèdiques
August Pi i Sunyer (IDIBAPS), Barcelona 8036 Barcelona, Spain
| | - Letícia F Ribeiro
- Department of Neurology, University of Campinas - UNICAMP, Campinas 13083-888
São Paulo, Brazil
| | - Mark P Richardson
- Division of Neuroscience, King’s College London, Institute of
Psychiatry, London SE5 8AB, UK
| | - Cristiane S Rocha
- Department of Neurology, University of Campinas - UNICAMP, Campinas 13083-888
São Paulo, Brazil
| | - Raúl Rodríguez-Cruces
- Montreal Neurological Institute, McGill University, Montreal
H3A2B4 QC, Canada
- Institute of Neurobiology, Universidad Nacional Autonoma de
Mexico, Queretaro 76230, Mexico
| | - Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main, University Hospital Frankfurt,
Germany, Frankfurt 60528 Hesse, Germany
- Center for Personalized Translational Epilepsy Research (CePTER),
Goethe-University Frankfurt, Frankfurt a. M. 60528, Germany
| | - Mariasavina Severino
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa 16147
Liguria, Italy
| | - Benjamin Sinclair
- Department of Medicine, University of Melbourne, Royal Melbourne
Hospital, Parkville 3050 Victoria, Australia
- Department of Neurology, Alfred Health, Melbourne 3004 Victoria,
Australia
| | - Hamid Soltanian-Zadeh
- Radiology and Research Administration, Henry Ford Health System,
Detroit 48202-2692 MI, USA
- School of Electrical and Computer Engineering, University of
Tehran, Tehran 14399-57131, Iran
| | - Pasquale Striano
- IRCCS Istituto Giannina Gaslini, Genoa 16147 Liguria, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal
and Child Health, University of Genova, Genova, Italy
| | - Peter N Taylor
- School of Computing, Newcastle University, Urban Sciences Building, Science
Square, Newcastle upon Tyne NE4 5TG, UK
| | - Rhys H Thomas
- Translational and Clinical Research Institute, Newcastle
University, Newcastle upon Tyne NE2 4HH, UK
- Royal Victoria Infirmary, Newcastle upon Tyne NE1 4LP, UK
| | - Domenico Tortora
- Radiology and Research Administration, Henry Ford Health System,
Detroit 48202-2692 MI, USA
| | - Dennis Velakoulis
- Royal Melbourne Hospital, Melbourne 3050 Victoria, Australia
- University of Melbourne, Parkville, Melbourne 3050 Victoria,
Australia
| | - Annamaria Vezzani
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano
20156 Italy
| | - Lucy Vivash
- Department of Neuroscience, Central Clinical School, Monash
University, Melbourne 3004 Victoria, Australia
- Department of Medicine, University of Melbourne, Royal Melbourne
Hospital, Parkville 3050 Victoria, Australia
| | - Felix von Podewils
- Epilepsy Center, University Medicine Greifswald, Greifswald 17489
Mecklenburg-Vorpommern, Germany
| | - Sjoerd B Vos
- Centre for Medical Image Computing, University College London,
London, WC1V 6LJ, UK
- Epilepsy Society, MRI Unit, Chalfont St Peter, Buckinghamshire,
SL9 0RJ, UK
| | - Bernd Weber
- Institute of Experimental Epileptology and Cognition Research, University of
Bonn, Venusberg Campus 1, Bonn 53127 NRW, Germany
| | - Gavin P Winston
- Epilepsy Society, MRI Unit, Chalfont St Peter, Buckinghamshire,
SL9 0RJ, UK
- Department of Medicine, Division of Neurology, Queen's
University, Kingston K7L 3N6 ON, Canada
- MRI Unit, Chalfont Centre for Epilepsy, Chalfont-St-Peter,
Buckinghamshire, SL9 0RJ UK
| | - Clarissa L Yasuda
- Department of Neurology, University of Campinas - UNICAMP, Campinas 13083-888
São Paulo, Brazil
| | - Alyssa H Zhu
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and
Informatics, USC Keck School of Medicine, Los Angeles 90232 CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and
Informatics, USC Keck School of Medicine, Los Angeles 90232 CA, USA
| | - Christopher D Whelan
- Molecular and Cellular Therapeutics, The Royal College of Surgeons in
Ireland, Dublin, Ireland
- Research and Early Development (RED), Biogen Inc., Cambridge, MA
02139, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and
Informatics, USC Keck School of Medicine, Los Angeles 90232 CA, USA
| | - Sanjay M Sisodiya
- MRI Unit, Chalfont Centre for Epilepsy, Chalfont-St-Peter,
Buckinghamshire, SL9 0RJ UK
- Chalfont Centre for Epilepsy, Chalfont-St-Peter, SL9 0RJ Bucks,
UK
| | - Carrie R McDonald
- Department of Psychiatry, Center for Multimodal Imaging and Genetics,
University of California San Diego, La Jolla 92093 CA, USA
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3
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Sisodiya SM, Whelan CD, Hatton SN, Huynh K, Altmann A, Ryten M, Vezzani A, Caligiuri ME, Labate A, Gambardella A, Ives‐Deliperi V, Meletti S, Munsell BC, Bonilha L, Tondelli M, Rebsamen M, Rummel C, Vaudano AE, Wiest R, Balachandra AR, Bargalló N, Bartolini E, Bernasconi A, Bernasconi N, Bernhardt B, Caldairou B, Carr SJ, Cavalleri GL, Cendes F, Concha L, Desmond PM, Domin M, Duncan JS, Focke NK, Guerrini R, Hamandi K, Jackson GD, Jahanshad N, Kälviäinen R, Keller SS, Kochunov P, Kowalczyk MA, Kreilkamp BA, Kwan P, Lariviere S, Lenge M, Lopez SM, Martin P, Mascalchi M, Moreira JC, Morita‐Sherman ME, Pardoe HR, Pariente JC, Raviteja K, Rocha CS, Rodríguez‐Cruces R, Seeck M, Semmelroch MK, Sinclair B, Soltanian‐Zadeh H, Stein DJ, Striano P, Taylor PN, Thomas RH, Thomopoulos SI, Velakoulis D, Vivash L, Weber B, Yasuda CL, Zhang J, Thompson PM, McDonald CR. The ENIGMA-Epilepsy working group: Mapping disease from large data sets. Hum Brain Mapp 2020; 43:113-128. [PMID: 32468614 PMCID: PMC8675408 DOI: 10.1002/hbm.25037] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 05/01/2020] [Accepted: 05/03/2020] [Indexed: 02/06/2023] Open
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.
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Affiliation(s)
- Sanjay M. Sisodiya
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- Chalfont Centre for EpilepsyBucksUK
| | - Christopher D. Whelan
- Department of Molecular and Cellular TherapeuticsThe Royal College of Surgeons in IrelandDublinIreland
| | - Sean N. Hatton
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Khoa Huynh
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Andre Altmann
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
| | - Mina Ryten
- UCL Queen Square Institute of NeurologyLondonUK
| | - Annamaria Vezzani
- Department of NeuroscienceIstituto di Ricerche Farmacologiche Mario Negri IRCCSMilanItaly
| | - Maria Eugenia Caligiuri
- Neuroscience Research Center, Department of Medical and Surgical SciencesUniversity “Magna Græcia" of CatanzaroCatanzaroItaly
| | - Angelo Labate
- Neuroscience Research Center, Department of Medical and Surgical SciencesUniversity “Magna Græcia" of CatanzaroCatanzaroItaly
- Institute of NeurologyUniversity “Magna Græcia" of CatanzaroCatanzaroItaly
| | - Antonio Gambardella
- Neuroscience Research Center, Department of Medical and Surgical SciencesUniversity “Magna Græcia" of CatanzaroCatanzaroItaly
- Institute of NeurologyUniversity “Magna Græcia" of CatanzaroCatanzaroItaly
| | | | - Stefano Meletti
- Department of Biomedical, Metabolic, and Neural SciencesUniversity of Modena and Reggio EmiliaModenaItaly
- Neurology UnitOCB Hospital, AOU ModenaModenaItaly
| | - Brent C. Munsell
- Department of PsychiatryUniversity of North CarolinaChapel HillNorth CarolinaUSA
- Department of Computer ScienceUniversity of North CarolinaChapel HillNorth CarolinaUSA
| | - Leonardo Bonilha
- Department of NeurologyMedical University of South CarolinaCharlestonSouth CarolinaUSA
| | | | - Michael Rebsamen
- Support Center for Advanced NeuroimagingUniversity Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of BernBernSwitzerland
| | - Christian Rummel
- Support Center for Advanced NeuroimagingUniversity Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of BernBernSwitzerland
| | - Anna Elisabetta Vaudano
- Department of Biomedical, Metabolic, and Neural SciencesUniversity of Modena and Reggio EmiliaModenaItaly
- Neurology UnitOCB Hospital, AOU ModenaModenaItaly
| | - Roland Wiest
- Support Center for Advanced NeuroimagingUniversity Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of BernBernSwitzerland
| | - Akshara R. Balachandra
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
- Boston University School of MedicineBostonMassachusettsUSA
| | - Núria Bargalló
- Magnetic Resonance Image Core FacilityInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de BarcelonaBarcelonaSpain
- Radiology Department of Center of Image DiagnosisHospital Clinic de BarcelonaBarcelonaSpain
| | - Emanuele Bartolini
- Neurology UnitUSL Centro Toscana, Nuovo Ospedale Santo StefanoPratoItaly
| | - Andrea Bernasconi
- Neuroimaging of Epilepsy LaboratoryMontreal Neurological Institute, McGill UniversityMontrealQuébecCanada
| | - Neda Bernasconi
- Neuroimaging of Epilepsy LaboratoryMontreal Neurological Institute, McGill UniversityMontrealQuébecCanada
| | - Boris Bernhardt
- McConnell Brain Imaging CenterMontreal Neurological Institute, McGill UniversityMontrealQuébecCanada
| | - Benoit Caldairou
- Neuroimaging of Epilepsy LaboratoryMontreal Neurological Institute, McGill UniversityMontrealQuébecCanada
| | - Sarah J.A. Carr
- NeuroscienceInstitute of Psychiatry, Psychology and NeuroscienceLondonUK
| | - Gianpiero L. Cavalleri
- School of Pharmacy and Biomolecular SciencesThe Royal College of Surgeons in IrelandDublinIreland
- FutureNeuro SFI Research CentreDublinIreland
| | - Fernando Cendes
- Department of Neurology and Neuroimaging LaboratoryUniversity of Campinas – UNICAMPCampinasSão PauloBrazil
| | - Luis Concha
- Instituto de NeurobiologíaUniversidad Nacional Autónoma de MéxicoQuerétaroMexico
| | - Patricia M. Desmond
- Department of RadiologyRoyal Melbourne Hospital, University of MelbourneMelbourneVictoriaAustralia
| | - Martin Domin
- Functional Imaging Unit, Department of Diagnostic Radiology and NeuroradiologyUniversity Medicine GreifswaldGreifswaldGermany
| | - John S. Duncan
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- Chalfont Centre for EpilepsyBucksUK
| | - Niels K. Focke
- University Medicine GöttingenClinical NeurophysiologyGöttingenGermany
| | - Renzo Guerrini
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and LaboratoriesChildren's Hospital A. Meyer‐University of FlorenceFlorenceItaly
| | - Khalid Hamandi
- The Wales Epilepsy Unit, Department of NeurologyUniversity Hospital of WalesCardiffUK
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUK
| | - Graeme D. Jackson
- Department of NeurologyAustin HealthHeidelbergVictoriaAustralia
- Florey Department of Neuroscience and Mental HealthUniversity of MelbourneVictoriaAustralia
| | - Neda Jahanshad
- Imaging Genetics CenterMark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Reetta Kälviäinen
- Kuopio University HospitalMember of EpiCARE ERNKuopioFinland
- Institute of Clinical MedicineNeurology, University of Eastern FinlandKuopioFinland
| | - Simon S. Keller
- Institute of Systems, Molecular and Integrative BiologyUniversity of LiverpoolLiverpoolUK
- The Walton CentreNHS Foundation TrustLiverpoolUK
| | - Peter Kochunov
- Department of PsychiatryUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Magdalena A. Kowalczyk
- Florey Department of Neuroscience and Mental HealthUniversity of MelbourneVictoriaAustralia
| | - Barbara A.K. Kreilkamp
- Institute of Systems, Molecular and Integrative BiologyUniversity of LiverpoolLiverpoolUK
- The Walton CentreNHS Foundation TrustLiverpoolUK
| | - Patrick Kwan
- Department of Neuroscience, Central Clinical SchoolMonash UniversityMelbourneVictoriaAustralia
| | - Sara Lariviere
- McConnell Brain Imaging CenterMontreal Neurological Institute, McGill UniversityMontrealQuébecCanada
| | - Matteo Lenge
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and LaboratoriesChildren's Hospital A. Meyer‐University of FlorenceFlorenceItaly
- Functional and Epilepsy Neurosurgery Unit, Neurosurgery DepartmentChildren's Hospital A. Meyer‐University of FlorenceFlorenceItaly
| | - Seymour M. Lopez
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
| | - Pascal Martin
- Department of Neurology and EpileptologyHertie Institute for Clinical Brain Research, University Hospital TübingenTübingenGermany
| | - Mario Mascalchi
- 'Mario Serio' Department of Clinical and Experimental Medical SciencesUniversity of FlorenceFlorenceItaly
| | - José C.V. Moreira
- Department of Neurology and Neuroimaging LaboratoryUniversity of Campinas – UNICAMPCampinasSão PauloBrazil
| | - Marcia E. Morita‐Sherman
- Department of Neurology and Neuroimaging LaboratoryUniversity of Campinas – UNICAMPCampinasSão PauloBrazil
- Cleveland Clinic Neurological InstituteClevelandOhioUSA
| | - Heath R. Pardoe
- Department of NeurologyNew York University School of MedicineNew YorkNew YorkUSA
| | - Jose C. Pariente
- Magnetic Resonance Image Core FacilityInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de BarcelonaBarcelonaSpain
| | - Kotikalapudi Raviteja
- Department of Neurology and EpileptologyHertie Institute for Clinical Brain Research, University Hospital TübingenTübingenGermany
- Department of Diagnostic and Interventional NeuroradiologyUniversity Hospitals TübingenTübingenGermany
- Department of Clinical NeurophysiologyUniversity Hospital GöttingenGoettingenGermany
| | - Cristiane S. Rocha
- Department of Neurology and Neuroimaging LaboratoryUniversity of Campinas – UNICAMPCampinasSão PauloBrazil
| | - Raúl Rodríguez‐Cruces
- Instituto de NeurobiologíaUniversidad Nacional Autónoma de MéxicoQuerétaroMexico
- Montreal Neurological Institute and HospitalMcGill UniversityMontrealQuébecCanada
| | | | - Mira K.H.G. Semmelroch
- Florey Department of Neuroscience and Mental HealthUniversity of MelbourneVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthAustin CampusHeidelbergVictoriaAustralia
| | - Benjamin Sinclair
- Department of NeuroscienceMonash UniversityMelbourneVictoriaAustralia
- Alfred HealthMelbourneVictoriaAustralia
| | - Hamid Soltanian‐Zadeh
- Radiology and Research AdministrationHenry Ford Health SystemDetroitMichiganUSA
- School of Electrical and Computer EngineeringCollege of Engineering, University of TehranTehranIran
| | - Dan J. Stein
- South African Medical Research Council Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience InstituteUniversity of Cape Townon Risk & Resilience in Mental DisordersCape TownSouth Africa
| | - Pasquale Striano
- Pediatric Neurology and Muscular Diseases UnitIRCCS Istituto 'G. Gaslini'GenovaItaly
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child HealthUniversity of GenovaItaly
| | - Peter N. Taylor
- School of ComputingNewcastle UniversityNewcastle upon TyneUK
| | - Rhys H. Thomas
- Institute of Translational and Clinical ResearchNewcastle UniversityNewcastle upon TyneUK
| | - Sophia I. Thomopoulos
- Imaging Genetics CenterMark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Dennis Velakoulis
- Department of Medicine, Royal Melbourne HospitalUniversity of MelbourneParkvilleVictoriaUK
- Department of NeuropsychiatryRoyal Melbourne HospitalParkvilleVictoriaAustralia
| | - Lucy Vivash
- Department of NeuroscienceMonash UniversityMelbourneVictoriaAustralia
- Department of NeurologyRoyal Melbourne HospitalMelbourneVictoriaAustralia
| | - Bernd Weber
- Institute of Experimental Epileptology and Cognition ResearchUniversity of BonnBonnGermany
| | - Clarissa Lin Yasuda
- Department of Neurology and Neuroimaging LaboratoryUniversity of Campinas – UNICAMPCampinasSão PauloBrazil
| | - Junsong Zhang
- Cognitive Science DepartmentSchool of Informatics, Xiamen UniversityXiamenChina
| | - Paul M. Thompson
- Imaging Genetics CenterMark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Carrie R. McDonald
- Department of PsychiatryUniversity of California San DiegoLa JollaCaliforniaUSA
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4
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Vagus nerve stimulation produces a hippocampal formation theta rhythm in anesthetized rats. Brain Res 2017; 1675:41-50. [DOI: 10.1016/j.brainres.2017.08.030] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 08/22/2017] [Accepted: 08/26/2017] [Indexed: 12/30/2022]
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5
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Different seizure-onset patterns in mesiotemporal lobe epilepsy have a distinct interictal signature. Clin Neurophysiol 2017; 128:1282-1289. [DOI: 10.1016/j.clinph.2017.04.020] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 03/28/2017] [Accepted: 04/26/2017] [Indexed: 11/15/2022]
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Chiosa V, Groppa SA, Ciolac D, Koirala N, Mişina L, Winter Y, Moldovanu M, Muthuraman M, Groppa S. Breakdown of Thalamo-Cortical Connectivity Precedes Spike Generation in Focal Epilepsies. Brain Connect 2017; 7:309-320. [DOI: 10.1089/brain.2017.0487] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Vitalie Chiosa
- Department of Neurology, Neuroimaging and Neurostimulation, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- Department of Neurology and Neurosurgery, National Center of Epileptology, Institute of Emergency Medicine, Chisinau, Moldova
- Laboratory of Neurobiology and Medical Genetics, State University of Medicine and Pharmacy “Nicolae Testemiţanu,” Chisinau, Moldova
| | - Stanislav A. Groppa
- Department of Neurology and Neurosurgery, National Center of Epileptology, Institute of Emergency Medicine, Chisinau, Moldova
- Laboratory of Neurobiology and Medical Genetics, State University of Medicine and Pharmacy “Nicolae Testemiţanu,” Chisinau, Moldova
| | - Dumitru Ciolac
- Department of Neurology, Neuroimaging and Neurostimulation, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- Department of Neurology and Neurosurgery, National Center of Epileptology, Institute of Emergency Medicine, Chisinau, Moldova
- Laboratory of Neurobiology and Medical Genetics, State University of Medicine and Pharmacy “Nicolae Testemiţanu,” Chisinau, Moldova
| | - Nabin Koirala
- Department of Neurology, Neuroimaging and Neurostimulation, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Liudmila Mişina
- Department of Neurology and Neurosurgery, National Center of Epileptology, Institute of Emergency Medicine, Chisinau, Moldova
- Laboratory of Neurobiology and Medical Genetics, State University of Medicine and Pharmacy “Nicolae Testemiţanu,” Chisinau, Moldova
| | - Yaroslav Winter
- Department of Neurology, Neuroimaging and Neurostimulation, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - Muthuraman Muthuraman
- Department of Neurology, Neuroimaging and Neurostimulation, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sergiu Groppa
- Department of Neurology, Neuroimaging and Neurostimulation, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
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Lam AD, Zepeda R, Cole AJ, Cash SS. Widespread changes in network activity allow non-invasive detection of mesial temporal lobe seizures. Brain 2016; 139:2679-2693. [PMID: 27474219 DOI: 10.1093/brain/aww198] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2016] [Accepted: 06/20/2016] [Indexed: 11/14/2022] Open
Abstract
Decades of experience with intracranial recordings in patients with epilepsy have demonstrated that seizures can occur in deep cortical regions such as the mesial temporal lobes without showing any obvious signs of seizure activity on scalp electroencephalogram. Predicated on the idea that these seizures are purely focal, currently, the only way to detect these 'scalp-negative seizures' is with intracranial recordings. However, intracranial recordings are only rarely performed in patients with epilepsy, and are almost never performed outside of the context of epilepsy. As such, little is known about scalp-negative seizures and their role in the natural history of epilepsy, their effect on cognitive function, and their association with other neurological diseases. Here, we developed a novel approach to non-invasively identify scalp-negative seizures arising from the mesial temporal lobe based on scalp electroencephalogram network connectivity measures. We identified 25 scalp-negative mesial temporal lobe seizures in 10 patients and obtained control records from an additional 13 patients, all of whom underwent recordings with foramen ovale electrodes and scalp electroencephalogram. Scalp data from these records were used to train a scalp-negative seizure detector, which consisted of a pair of logistic regression classifiers that used scalp electroencephalogram coherence properties as input features. On cross-validation performance, this detector correctly identified scalp-negative seizures in 40% of patients, and correctly identified the side of seizure onset for each seizure detected. In comparison, routine clinical interpretation of these scalp electroencephalograms failed to identify any of the scalp-negative seizures. Among the patients in whom the detector raised seizure alarms, 80% had scalp-negative mesial temporal lobe seizures. The detector had a false alarm rate of only 0.31 per day and a positive predictive value of 75%. Of the 13 control patients, false seizure alarms were raised in only one patient. The fact that our detector specifically recognizes focal mesial temporal lobe seizures based on scalp electroencephalogram coherence features, lends weight to the hypothesis that even focal seizures are a network phenomenon that involve widespread neural connectivity. Our scalp-negative seizure detector has clear clinical utility in patients with temporal lobe epilepsy, and its potential easily translates to other neurological disorders, such as Alzheimer's disease, in which occult mesial temporal lobe seizures are suspected to play a significant role. Importantly, our work establishes a novel approach of using computational approaches to non-invasively detect deep seizure activity, without the need for invasive intracranial recordings.
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Affiliation(s)
- Alice D Lam
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Rodrigo Zepeda
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Andrew J Cole
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Sydney S Cash
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
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Thangavelu SK, Kasthuri N, Sundaram V, Aravind N, Bilakanti N. A Stand-Alone EEG Monitoring System for Remote Diagnosis. Telemed J E Health 2015; 22:310-6. [PMID: 26447776 DOI: 10.1089/tmj.2015.0046] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND In low-income countries with limited infrastructure, remote diagnoses are a sustainable solution to healthcare issues. Current electroencephalography (EEG) monitoring devices are very expensive and may not be feasible in rural areas. Because a seizure is nonstationary, composed of multiple frequencies, and difficult to acquire, visual and conventional frequency-based methods have limited application. MATERIALS AND METHODS One hundred healthy individuals at their best possible conscious state and 25 patients with an epileptic seizure a few hours prior to the time of recording were chosen. The recordings were carried at Shri Preethi Hospital and Nanda Engineering College, Tamilnadu, India, during the period of June 2014-December 2014. The primary objective was to differentiate the diseased from normal individuals, as well as quantifying the EEG signal and diagnosing remotely. RESULTS Using wavelet coefficients, the separation between seizure and nonseizure states was measured and compared with that of healthy individuals of different age groups. The systems performance was measured by parameters such as sensitivity, specificity, region of convergence, and precision rate. CONCLUSIONS The novelty of this article lies in the design, development, and clinical analysis of a low-cost EEG device for remote diagnosis.
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Affiliation(s)
- Sadish Kumar Thangavelu
- 1 Department of Electronics & Communication Engineering, Nandha Engineering College , Erode, Tamilnadu, India
| | - Nehru Kasthuri
- 2 Department of Electronics & Communication Engineering, Kongu Engineering College , Erode, Tamilnadu, India
| | | | - Navneet Aravind
- 3 School of Electrical Engineering, VIT University , Vellore, Tamilnadu, India
| | - Nishant Bilakanti
- 3 School of Electrical Engineering, VIT University , Vellore, Tamilnadu, India
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Read MI, Harrison JC, Kerr DS, Sammut IA. Atenolol offers better protection than clonidine against cardiac injury in kainic acid-induced status epilepticus. Br J Pharmacol 2015; 172:4626-38. [PMID: 25765931 DOI: 10.1111/bph.13132] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2014] [Revised: 02/21/2015] [Accepted: 03/06/2015] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND AND PURPOSE Status epilepticus is increasingly associated with cardiac injury in both clinical and animal studies. The current study examined ECG activity for up to 48 h following kainic acid (KA) seizure induction and compared the potential of atenolol and clonidine to attenuate this cardiac pathology. EXPERIMENTAL APPROACH Sprague-Dawley rats (male, 300-350 g) were implanted with ECG and electrocorticogram electrodes to allow simultaneous telemetric recordings of cardiac and cortical responses during and after KA-induced seizures. Animals were randomized into saline controls, and saline vehicle-, clonidine- or atenolol-pretreated KA groups. KEY RESULTS KA administration in the saline-pretreated group produced an immediate bradycardic response (maximal decrease of 28 ± 6%), coinciding with low-level seizure activity. As high-level seizure behaviours and EEG spiking increased, tachycardia also developed, with a maximum heart rate increase of 38 ± 7% coinciding with QTc prolongation and T wave elevation. Both clonidine and atenolol pretreatment attenuated seizure activity and reduced KA-induced changes in heart rate, QTc interval and T wave amplitude observed during both bradycardic and tachycardic phases in saline-pretreated KA animals. Clonidine, however, failed to reduce the power of EEG frequencies. Atenolol and to a lesser extent clonidine attenuated the cardiac hypercontraction band necrosis, inflammatory infiltration, and oedema at 48 h after KA, relative to the saline-KA group. CONCLUSIONS AND IMPLICATIONS Severe seizure activity in this model was clearly associated with altered ECG activity and cardiac pathology. We suggest that modulation of sympathetic activity by atenolol provides a promising cardioprotective approach in status epilepticus.
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Affiliation(s)
- M I Read
- Department of Pharmacology, University of Otago School of Medical Sciences, Dunedin, New Zealand
| | - J C Harrison
- Department of Pharmacology, University of Otago School of Medical Sciences, Dunedin, New Zealand
| | - D S Kerr
- Department of Pharmacology, University of Otago School of Medical Sciences, Dunedin, New Zealand
| | - I A Sammut
- Department of Pharmacology, University of Otago School of Medical Sciences, Dunedin, New Zealand
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10
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Watrous AJ, Lee DJ, Izadi A, Gurkoff GG, Shahlaie K, Ekstrom AD. A comparative study of human and rat hippocampal low-frequency oscillations during spatial navigation. Hippocampus 2013; 23:656-661. [PMID: 23520039 DOI: 10.1002/hipo.22124] [Citation(s) in RCA: 108] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2013] [Indexed: 11/09/2022]
Abstract
Rhythmic oscillations within the 3-12 Hz theta frequency band manifest in the rodent hippocampus during a variety of behaviors and are particularly well characterized during spatial navigation. In contrast, previous studies of rhythmic hippocampal activity in primates under comparable behavioral conditions suggest it may be less apparent and possibly less prevalent, or even absent, compared with the rodent. We compared the relative presence of low-frequency oscillations in rats and humans during spatial navigation by using an oscillation detection algorithm ("P-episode" or "BOSC") to better characterize their presence in microelectrode local field potential (LFP) recordings. This method quantifies the proportion of time the LFP exceeds both a power and cycle duration threshold at each frequency, characterizing the presence of (1) oscillatory activity compared with background noise, (2) the peak frequency of oscillatory activity, and (3) the duration of oscillatory activity. Results demonstrate that both humans and rodents have hippocampal rhythmic fluctuations lasting, on average, 2.75 and 4.3 cycles, respectively. Analyses further suggest that human hippocampal rhythmicity is centered around ∼3 Hz while that of rats is centered around ∼8 Hz. These results establish that low-frequency rhythms relevant to spatial navigation are present in both the rodent and human hippocampus, albeit with different properties under the behavioral conditions tested.
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Affiliation(s)
- Andrew J Watrous
- Center for Neuroscience, University of California, Davis, 1544 Newton Court, Davis, CA
| | - Darrin J Lee
- Center for Neuroscience, University of California, Davis, 1544 Newton Court, Davis, CA.,Department of Neurological Surgery, University of California, Davis, CA
| | - Ali Izadi
- Department of Neurological Surgery, University of California, Davis, CA
| | - Gene G Gurkoff
- Department of Neurological Surgery, University of California, Davis, CA
| | - Kiarash Shahlaie
- Department of Neurological Surgery, University of California, Davis, CA
| | - Arne D Ekstrom
- Center for Neuroscience, University of California, Davis, 1544 Newton Court, Davis, CA.,Department of Psychology, University of California, Davis, CA
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11
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Liu M, Concha L, Lebel C, Beaulieu C, Gross DW. Mesial temporal sclerosis is linked with more widespread white matter changes in temporal lobe epilepsy. NEUROIMAGE-CLINICAL 2012; 1:99-105. [PMID: 24179742 PMCID: PMC3757721 DOI: 10.1016/j.nicl.2012.09.010] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2012] [Revised: 09/19/2012] [Accepted: 09/22/2012] [Indexed: 12/04/2022]
Abstract
Temporal lobe epilepsy patients with unilateral mesial temporal sclerosis (TLE + uMTS) have been demonstrated to have extensive white matter abnormalities both ipsilateral and contralateral to the seizure onset zone. However, comparatively less is known about the white matter integrity of TLE patients without MTS (non-lesional TLE, nl-TLE). The purpose of the study was to investigate the diffusion properties of thirteen major white matter tracts in patients with TLE + uMTS and nl-TLE. Diffusion tensor imaging (DTI) was performed on 23 TLE + uMTS (15 left MTS and 8 right MTS), 15 nl-TLE and 21 controls. Thirteen tracts were delineated by tractography and their diffusion parameters compared for the two TLE groups relative to controls, with left and right hemispheres combined per tract. A subgroup analysis investigated left and right MTS separately. Compared to controls, reduced anisotropy was detected in ten tracts for TLE + uMTS, but only the parahippocampal cingulum and tapetum for nl-TLE. Right MTS subgroup showed reduced anisotropy in 7 tracts bilaterally (3 limbic, 3 association, 1 projection) and 2 tracts ipsilaterally (1 association, 1 projection) and the body of the corpus callosum whereas the left MTS subgroup showed reduced anisotropy in 4 tracts bilaterally (2 limbic, 1 association, 1 projection) and 2 tracts ipsilaterally (1 limbic, 1 association). Diffusion abnormalities in tracts were observed within and beyond the temporal lobe in TLE + uMTS and were more widespread than in nl-TLE. Patients with right MTS had more extensive, bilateral abnormalities in comparison to left MTS. These findings suggest different dysfunctional networks in TLE patients with and without MTS.
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Affiliation(s)
- Min Liu
- Department of Biomedical Engineering, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
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12
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Slow EEG rhythms and inter-hemispheric synchronization across sleep and wakefulness in the human hippocampus. Neuroimage 2012; 60:497-504. [PMID: 22178807 DOI: 10.1016/j.neuroimage.2011.11.093] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2011] [Revised: 11/29/2011] [Accepted: 11/30/2011] [Indexed: 02/08/2023] Open
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13
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Sawant PM, Mountfort DO, Kerr DS. Spectral analysis of electrocorticographic activity during pharmacological preconditioning and seizure induction by intrahippocampal domoic acid. Hippocampus 2010; 20:994-1002. [PMID: 19714566 DOI: 10.1002/hipo.20698] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Previously we have shown that low-dose domoic acid (DA) preconditioning produces tolerance to the behavioral effects of high-dose DA. In this study, we used electrocorticography (ECoG) to monitor subtle CNS changes during and after preconditioning. Young adult male Sprague-Dawley rats were implanted with a left cortical electrode, and acute recordings were obtained during preconditioning by contralateral intrahippocampal administration of either low-dose DA (15 pmoles) or saline, followed by a high-dose DA (100 pmoles) challenge. ECoG data were analyzed by fast Fourier transformation to obtain the percentage of baseline power spectral density (PSD) for delta to gamma frequencies (range: 1.25-100 Hz). Consistent with previous results, behavioral analysis confirmed that low-dose DA preconditioning 60 min before a high-dose DA challenge produced significant reductions in cumulative seizure scores and high level seizure behaviors. ECoG analysis revealed significant reductions in power spectral density across all frequency bands, and high-frequency/high-amplitude spiking in DA preconditioned animals, relative to saline controls. Significant correlations between seizure scores and ECoG power confirmed that behavioral analysis is a reliable marker for seizure analysis. The reduction of power in delta to gamma frequency bands in contralateral cortex does not allow a clear distinction between seizure initiation and seizure propagation, but does provide objective confirmation that pharmacological preconditioning by DA reduces network seizure activity.
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Affiliation(s)
- P M Sawant
- Department of Pharmacology and Toxicology, University of Otago School of Medical Sciences, Dunedin, New Zealand
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14
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Siekmeier PJ, Stufflebeam SM. Patterns of spontaneous magnetoencephalographic activity in patients with schizophrenia. J Clin Neurophysiol 2010; 27:179-90. [PMID: 20461010 PMCID: PMC3665947 DOI: 10.1097/wnp.0b013e3181e0b20a] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Magnetoencephalography noninvasively measures the magnetic fields produced by the brain. Pertinent research articles from 1993 to 2009 that measured spontaneous, whole-head magnetoencephalography activity in patients with schizophrenia were reviewed. Data on localization of oscillatory activity and correlation of these findings with psychotic symptoms are summarized. Although the variety of measures used by different research groups makes a quantitative meta-analysis difficult, it appears that magnetoencephalography activity in patients may exhibit identifiable patterns, defined by topographic organization and frequency band. Specifically, 11 of the 12 studies showed increased theta (4-8 Hz) and delta (1-4 Hz) band oscillations in the temporal lobes of patients; of the 10 studies that examined the relationship between oscillatory activity and symptomatology, 8 found a positive correlation between temporal lobe theta activity and positive schizophrenic symptoms. Abnormally high frontal delta activity was not seen. These findings are analyzed in comparison with the electroencephalogram literature on schizophrenics, and possible confounds (e.g., medication effects) are discussed. In the future, magnetoencephalography might be used to assist in diagnosis or might be fruitfully used in conjunction with new neuroscience research approaches such as computational modeling, which may be able to link oscillatory activity and cellular-level pathology.
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Affiliation(s)
- Peter J Siekmeier
- Harvard Medical School and McLean Hospital, Belmont, Massachusetts 02478, USA.
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Tzallas AT, Tsipouras MG, Fotiadis DI. Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis. ACTA ACUST UNITED AC 2009; 13:703-10. [PMID: 19304486 DOI: 10.1109/titb.2009.2017939] [Citation(s) in RCA: 251] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Alexandros T Tzallas
- Unit of Medical Technology and Intelligent Information Systems, Department of Material Science and Technology, University of Ioannina, Ioannina 45110, Greece.
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16
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Intracranial EEG power and metabolism in human epilepsy. Epilepsy Res 2009; 87:18-24. [PMID: 19699059 DOI: 10.1016/j.eplepsyres.2009.07.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2008] [Revised: 03/24/2009] [Accepted: 07/15/2009] [Indexed: 10/20/2022]
Abstract
EEG power and high frequency activity in the seizure onset zone has been increasingly considered for its relationship with seizures in animal and human studies of epilepsy. We examine the relationship between quantitative EEG measures and metabolic imaging in epilepsy patients undergoing intracranial EEG (icEEG) analysis for seizure localization. Patients with mesial temporal lobe epilepsy (MTLE) and neocortical epilepsy (NE) were studied. Metabolic imaging was performed with MR spectroscopic imaging using N-acetyl aspartate (NAA) and creatine (Cr). All data were acquired from the mesial temporal lobe such that a direct comparison of the same anatomical regions between the two groups could be performed. While no difference was seen in the total power recorded from the mesial temporal lobe, the MTLE group had significantly greater power in the high frequency bands. There was a significant positive exponential relationship between total icEEG power with NAA/Cr in MTLE, R=+0.84 and p<0.001, which was not seen in NE. There was also a significant negative relationship between fractional gamma power with NAA/Cr in MTLE, R=-0.66 and p<0.02, also not seen in NE. These data argue that within the seizure onset zone, the tight correlation between total power and NAA/Cr suggests that total electrical output is powered by available mitochondrial function. These data are also consistent with the hypothesis that high frequency activity is an abnormal manifestation of tissue injury.
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Bartolomei F, Chauvel P, Wendling F. Epileptogenicity of brain structures in human temporal lobe epilepsy: a quantified study from intracerebral EEG. Brain 2008; 131:1818-30. [PMID: 18556663 DOI: 10.1093/brain/awn111] [Citation(s) in RCA: 386] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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18
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Bettus G, Wendling F, Guye M, Valton L, Régis J, Chauvel P, Bartolomei F. Enhanced EEG functional connectivity in mesial temporal lobe epilepsy. Epilepsy Res 2008; 81:58-68. [PMID: 18547787 DOI: 10.1016/j.eplepsyres.2008.04.020] [Citation(s) in RCA: 171] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2007] [Revised: 04/18/2008] [Accepted: 04/22/2008] [Indexed: 11/19/2022]
Abstract
PURPOSE To analyze and compare spectral properties and interdependencies of intracerebral EEG signals recorded during interictal periods from mesial temporal lobe structures in two groups of epileptic patients defined according to the involvement of these structures in the epileptogenic zone (EZ). METHODS Interictal EEG activity in mesial temporal lobe (MTL) structures (hippocampus, entorhinal cortex and amygdala) was obtained from intracerebral recordings performed in 21 patients with drug-resistant mesial temporal lobe epilepsy (MTLE group). This group was compared with a "control" group of patients (non-MTLE group) in whom depth-EEG recordings of MTL show that seizures did not start from the MTL. Comparison criteria were based on spectral properties and statistical coupling (nonlinear correlation coefficient h(2)) of MTL signals. RESULTS Power spectral density analysis showed a significant decrease in the theta frequency sub-band (p=0.01) in the MTLE group. Nonlinear correlation (h(2)) values were found to be higher in the MTLE group than in the NMTLE group (p=0.0014). This effect was significant for theta, alpha, beta and gamma frequencies. Correlation values were not correlated with the frequency of interictal spikes (IS) and significant differences between groups were still measureable even when spikes were suppressed from analyzed EEG periods. DISCUSSION This study shows that, during the interictal state, the EZ in MTLE is characterized by a decrease of oscillations in the theta sub-band and by a general increase of signal interdependencies. This last finding suggests that the EZ is characterized by network of neuronal assemblies with a reinforced functional connectivity.
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Affiliation(s)
- Gaelle Bettus
- INSERM, U751, Laboratoire de Neurophysiologie et Neuropsychologie, Marseille, France
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Alper K, Raghavan M, Isenhart R, Howard B, Doyle W, John R, Prichep L. Localizing epileptogenic regions in partial epilepsy using three-dimensional statistical parametric maps of background EEG source spectra. Neuroimage 2008; 39:1257-65. [DOI: 10.1016/j.neuroimage.2007.09.041] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2006] [Revised: 09/11/2007] [Accepted: 09/18/2007] [Indexed: 10/22/2022] Open
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Zaveri HP, Duckrow RB, Spencer SS. On the use of bipolar montages for time-series analysis of intracranial electroencephalograms. Clin Neurophysiol 2006; 117:2102-8. [PMID: 16887380 DOI: 10.1016/j.clinph.2006.05.032] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2004] [Revised: 03/15/2006] [Accepted: 05/31/2006] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Bipolar montages are routinely employed for the interpretation of scalp and intracranial EEGs (icEEGs). In this manuscript we consider the assumptions that support the use of a bipolar montage and question the universal appropriateness of bipolar representation of icEEGs for the time-series analysis of these signals. Bipolar montages introduce an element of spatial processing into the observed time-series. In the case of icEEGs, we argue ambiguity may be introduced in some settings through this operation because of a lack of certifiability of local differentiability and continuity of the spatial structure of icEEGs, and their suboptimal spatial sampling. METHODS Example icEEGs were collected from three patients being studied for possible resective epilepsy surgery. Referential and bipolar representations of these signals were subjected to different visual and time-series analysis. The time-series measures calculated were the power spectral density and magnitude squared coherence. RESULTS Visual analysis and time-series measures revealed that the icEEG time-series was altered by the use of a bipolar montage. The changes resulted from either the introduction of unrelated information from the two referential time-series into the bipolar time-series, or from the removal or alteration of information common to the two referential time-series in the bipolar time-series. The changes could not be predicted without prior knowledge of the relationship between measurement sites that form the bipolar montage. CONCLUSIONS In certain settings, bipolar montages alter icEEGs and can confound the time-series analysis of these signals. In such settings, bipolar montages should be used with caution in the time-series analysis of icEEGs. SIGNIFICANCE This manuscript addresses the representation of the intracranial EEG for time-series analysis. There may be contexts where the assumptions underpinning correct application of the bipolar montage to the intracranial EEG are not satisfied.
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Affiliation(s)
- Hitten P Zaveri
- Department of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA.
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Lopez T, Navarrete J, Conde R, Ascencio JA, Manjarrez J, Gonzalez RD. Molecular vibrational analysis and MAS-NMR spectroscopy study of epilepsy drugs encapsulated in TiO2-sol–gel reservoirs. J Biomed Mater Res A 2006; 78:441-8. [PMID: 16721794 DOI: 10.1002/jbm.a.30842] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
A nanostructured matrix, consisting of titania, was designed in such a way that an antiepileptic drug could be encapsulated and released according to a well-defined time release schedule. The titania was synthesized by a sol-gel method in which titanium n-butoxide was used as the precursor for the formation of the sol. The synthesis was optimized to yield a homogeneous particle size with a high porosity and an anatase crystal structure. The antiepilectic drugs, phenytoine or valproic acid, were added during the gelation stage in order to obtain a homogeneous gel phase. The resulting nanostructured matrix including the drug showed only weak attractive forces, such as London forces, dipole-dipole coupling, and in some cases hydrogen bonds. The resulting assembly, referred to as a reservoir, was characterized using conventional FTIR and NMR spectroscopic techniques. Theoretical simulation studies were performed so as to obtain an understanding of the equilibrium electrostatic potential distribution and the relative charges on the titania and the anticonvulsants.
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Affiliation(s)
- T Lopez
- Universidad Autonoma Metropolitana, Iztapalapa, P.O.Box 55-534, Mexico, D.F. 09340, Mexico.
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Cohen-Gadol AA, Bradley CC, Williamson A, Kim JH, Westerveld M, Duckrow RB, Spencer DD. Normal magnetic resonance imaging and medial temporal lobe epilepsy: the clinical syndrome of paradoxical temporal lobe epilepsy. J Neurosurg 2005; 102:902-9. [PMID: 15926717 DOI: 10.3171/jns.2005.102.5.0902] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECT The syndrome of medial temporal lobe epilepsy (MTLE) may occur in patients in whom magnetic resonance (MR) images demonstrate normal findings. In these patients, there is no evidence of hippocampal sclerosis on neuroimaging, and histopathological examination of the resected hippocampus does not reveal significant neuron loss. In this paper the authors describe the distinct clinical features of this MTLE subtype, referred to as paradoxical temporal lobe epilepsy (PTLE). METHODS The authors selected 12 consecutive patients with preoperative findings consistent with MTLE in whom MR imaging did not demonstrate any hippocampal abnormality. Onset of hippocampal seizure was confirmed by long-term intracranial monitoring. There were six female and six male patients with a mean age of 32 +/- 11 years, (mean +/- standard deviation [SD]) at presentation. These patients' seizure histories, available hippocampal volumetric measurements, and hippocampal cell densities in different subfields were reviewed. Sharp electrode recordings from dentate granule cells that had been maintained in hippocampal slices provided a measure of excitation and inhibition in the tissue. We compared these data with those of a cohort of 50 randomly selected patients who underwent anteromedial temporal resection for medial temporal sclerosis (MTS) during the same time period (1987-1999). The durations of follow up (means +/- SDs) for the PTLE and MTS groups were 51 +/- 59 months and 88 +/- 44 months, respectively. A history of febrile seizure was present less frequently in the PTLE group (8%) than in the MTS group (34%). Other risk factors for epilepsy such as trauma, meningoencephalitis, or perinatal injuries were present more frequently in the PTLE group (50%) than in the MTS cohort (36%). In patients in the PTLE group the first seizure occurred later in life (mean age at seizure onset 14 years in the PTLE group compared with 9 years in the MTS group, p = 0.09). Ten patients (83%) in the PTLE cohort and 23 patients (46%) in the MTLE cohort had secondary generalization of their seizures. Among patients with PTLE, volumetric measurements (five patients) and randomized blinded visual inspection (seven patients) of the bilateral hippocampi revealed no atrophy and no increased T2 signal change on preoperative MR images. All patients with PTLE underwent anteromedial temporal resection (amygdalohippocampectomy, in five patients on the left side and in seven on the right side). Electrophysiological studies of hippocampal slices demonstrated that dentate granule cells from patients with PTLE were significantly less excitable than those from patients with MTS. The mean pyramidal cell loss in the CAI subfield in patients in the PTLE group was 20% (range 0-59%) and that in patients in the MTS group was 75% (range 41-90%) (p < 0.001). Maximal neuron loss (mean loss 38%) occurred in the CA4 region in six patients with PTLE (end folium sclerosis). At the last follow-up examination, six patients (50%) in the PTLE group were seizure free compared with 38 patients (76%) in the MTS group. CONCLUSIONS Clinical PTLE is a distinct syndrome with clinical features and surgical outcomes different from-those of MTS.
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Affiliation(s)
- Aaron A Cohen-Gadol
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA.
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Abstract
Experts discussed the definition, natural history, pathologic features, pathogenesis, electroclinical, neurophysiological, neuropsychological, structural and functional imaging findings, as well as surgical outcome in mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS). After a long-lasting consensus process the ILAE Commission Neurosurgery of epilepsy accepted the resulting conclusions as state-of-the art report on MTLE-HS. The majority of contributors considered MTLE-HS to represent a sufficient cluster of signs and symptoms to make up a syndromic diagnostic entity.
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Vossler DG, Kraemer DL, Haltiner AM, Rostad SW, Kjos BO, Davis BJ, Morgan JD, Caylor LM. Intracranial EEG in Temporal Lobe Epilepsy: Location of Seizure Onset Relates to Degree of Hippocampal Pathology. Epilepsia 2004; 45:497-503. [PMID: 15101831 DOI: 10.1111/j.0013-9580.2004.47103.x] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
PURPOSE To determine whether the specific location of electrographic seizure onset in the temporal lobe is related to hippocampal pathology in temporal lobe epilepsy (TLE). METHODS Consecutive presurgical patients with scalp EEG-video evidence of TLE and no or mild hippocampal atrophy (HA) on magnetic resonance imaging (MRI) were prospectively studied by using depth and subdural strip electrode recordings to identify the site of the initial ictal discharge (IID). Thirty-four patients had either no or mild HA (HA- group). Four additional patients with moderate or marked HA (HA+ group) who required depth and strip electrodes served as a comparison group. Hippocampal pathology was assessed by MRI volumetrics and histopathologic grade of sclerosis (HS). RESULTS Thirty-eight patients were investigated. In the HA- group, 10 patients had lobar ictal EEG onsets in the hippocampus (HF), medial paleocortex (MPC), and lateral neocortex (LNC); eight cases had regional IIDs in both HF and MPC; 12 persons had IIDs completely outside the HF; three cases lacked depth electrodes, and only one case (3%) had an IID confined to the HF. By contrast, three (75%) of four HA+ cases had IIDs confined to the HF (p = 0.002). Similarly, in 12 patients with low-grade HS, IIDs confined to the HF area were seen significantly less often than in six cases with high-grade HS (p = 0.025). CONCLUSIONS In this study of a large number of patients with no to mild and a smaller group with moderate to marked HA and HS, the location of seizure onset in the temporal lobe was related to the degree of hippocampal pathology. Absence of HA and low-grade HS was each associated with IIDs in both the hippocampus and medial (with or without lateral) temporal cortex, or only the MPC or LNC. Marked HA and high-grade HS both were associated with IIDs restricted to the HF.
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Affiliation(s)
- David G Vossler
- Epilepsy Center and Clinical Neurophysiology Laboratories, Swedish Neuroscience Institute, Seattle, Washington 98122, USA.
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Scallet AC, Kowalke PK, Rountree RL, Thorn BT, Binienda ZK. Electroencephalographic, behavioral, and c-fos responses to acute domoic acid exposure. Neurotoxicol Teratol 2004; 26:331-42. [PMID: 15019966 DOI: 10.1016/j.ntt.2003.10.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2003] [Revised: 08/12/2003] [Accepted: 10/03/2003] [Indexed: 11/17/2022]
Abstract
Domoic acid, a potent excitotoxic analogue of glutamate and kainate, may cause seizures, amnesia, and sometimes death in humans consuming contaminated shellfish. Continuous behavioral observations and recordings of the electrocorticogram (ECoG, via bipolar, epidural electrodes) were obtained from nonanesthetized rats for 2 h after intraperitoneal injection with either saline, 2.2, or 4.4 mg/kg of domoic acid. Rats were then sacrificed for c-fos immunohistochemistry. Fast Fourier transformation (FFT) of the ECoG data to obtain the voltage as a function of frequency indicated that the lower frequency bands (theta, 4.75-6.75 Hz and delta, 1.25-4.50 Hz) were the first to respond, with a significant elevation by 30 min after the high dose of domoic acid. The lower dose of domoic acid also caused a significant elevation of ECoG voltage, but not until later in the session. Sixty minutes after dosing, the behavioral biomarkers of "ear scratching" and "rearing, praying" (RP) seizures became significantly elevated in the high-dose rats. The low-dose rats showed no significant alterations in behavior at any time during the session. In postmortem brains obtained immediately after the sessions, c-fos was activated in the anterior olfactory nucleus by both the low and high doses of domoic acid. However, only the high dose increased c-fos immunoreactivity in the hippocampus, affecting both the granule and pyramidal neurons. These data indicate that electroencephalographic and c-fos responses can be obtained at a dose of domoic acid that fails to activate the behavioral response most commonly used as a bioassay for this marine toxin: ear scratching with the ipsilateral foot.
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Affiliation(s)
- Andrew C Scallet
- Division of Neurotoxicology, National Center for Toxicological Research, USFDA, 3900 NCTR Drive, Jefferson, AR 72079, USA.
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de Lanerolle NC, Kim JH, Williamson A, Spencer SS, Zaveri HP, Eid T, Spencer DD, Eid T. A retrospective analysis of hippocampal pathology in human temporal lobe epilepsy: evidence for distinctive patient subcategories. Epilepsia 2003; 44:677-87. [PMID: 12752467 DOI: 10.1046/j.1528-1157.2003.32701.x] [Citation(s) in RCA: 204] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
PURPOSE This study is a retrospective analysis of the pathology of the hippocampus from patients with medically intractable temporal lobe epilepsy. We attempted to relate neuronal density, immunohistochemistry, electrophysiologic data, and surgical outcome. METHODS Immunostaining patterns for neuropeptide Y, somatostatin, substance P, and dynorphin defined the immunohistochemical characteristics of the hippocampi. Neuronal densities were determined by microscopic cell counts. Sharp electrode recordings from dentate granule cells determined measures of inhibition and excitation. RESULTS Patient hippocampi without evidence of sclerosis generally resembled autopsy controls on the basis of neuronal densities of hippocampal subfields and patterns of immunostaining. The nonsclerotic hippocampi were divisible into two subgroups on the basis of neuronal density correlations between hippocampal subfields, the excitability of dentate granule cells, etiology, and surgical outcome. Hippocampi with sclerosis were divisible into those with significant neuronal loss confined to area CA1 and those with neuronal loss throughout the hippocampus and dentate gyrus. In the former, the dentate gyrus resembled in morphology the nonsclerotic hippocampi but with slightly increased excitability of the dentate granule cells. The hippocampi with more extensive neuronal loss had changes in immunostaining patterns associated with the dentate gyrus, correlated with significant hyperexcitability of dentate granule cells. The surgical outcome, with the exception of one group, was good in approximately 70-90%. CONCLUSIONS Hippocampi from patients with intractable temporal lobe epilepsy can be assigned to several groups on the basis of pathophysiology. Different pathologies may represent differing causative mechanisms of intractable temporal lobe epilepsy and be predictive of surgical outcome.
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Affiliation(s)
- Nihal C de Lanerolle
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8082, U.S.A.
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Bastiaansen MCM, van Berkum JJA, Hagoort P. Syntactic processing modulates the theta rhythm of the human EEG. Neuroimage 2002; 17:1479-92. [PMID: 12414287 DOI: 10.1006/nimg.2002.1275] [Citation(s) in RCA: 76] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Changes in oscillatory brain dynamics can be studied by means of induced band power (IBP) analyses, which quantify event-related changes in amplitude of frequency-specific EEG rhythms. Such analyses capture EEG phenomena that are not part of traditional event-related potential measures. The present study investigated whether IBP changes in the delta, theta, and alpha frequency ranges are sensitive to syntactic violations in sentences. Subjects read sentences that either were correct or contained a syntactic violation. The violations were either grammatical gender agreement violations, where a prenominal adjective was not appropriately inflected for the head noun's gender, or number agreement violations, in which a plural quantifier was combined with a singular head noun. IBP changes of the concurrently measured EEG were computed in five frequency bands of 2-Hz width, individually adjusted on the basis of subjects' alpha peak, ranging approximately from 2 to 12 Hz. Words constituting a syntactic violation elicited larger increases in theta power than the same words in a correct sentence context, in an interval of 300-500 ms after word onset. Of all the frequency bands studied, this was true for the theta frequency band only. The scalp topography of this effect was different for different violations: following number violations a left-hemispheric dominance was found, whereas gender violations elicited a right-hemisphere dominance of the theta power increase. Possible interpretations of this effect are considered in closing.
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Affiliation(s)
- Marcel C M Bastiaansen
- Max Planck Institute for Psycholinguistics, P.O. Box 310, 6500 AH Nijmegen, The Netherlands
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