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Alva‐Diaz C, Cabanillas‐Lazo M, Navarro‐Flores A, Martinez‐Rivera RN, Valdeiglesias‐Abarca M, Acevedo‐Marino K, Pacheco‐Barrios K, Ruiz‐Garcia R, Burneo J. Peri-ictal psychiatric manifestations in people with epilepsy: An umbrella review. Epilepsia Open 2024; 9:1166-1175. [PMID: 38816942 PMCID: PMC11296096 DOI: 10.1002/epi4.12949] [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: 07/23/2023] [Revised: 04/02/2024] [Accepted: 04/10/2024] [Indexed: 06/01/2024] Open
Abstract
OBJECTIVE We aimed to conduct an umbrella review to summarize the existing evidence regarding the prevalence of peri-ictal psychiatric manifestations (PM) in people with epilepsy (PWE) including pre-ictal, ictal, and postictal stages. METHODS Databases were searched up to June 2023 for systematic reviews (SR) of observational studies that included patients with epilepsy peri-ictal PM. Data selection, data extraction, and risk of bias assessment (with the AMSTAR-2 instrument) were performed by two independent reviewers. We performed a narrative synthesis using previous guidelines. We used a self-developed decision table according to the GRADE system adapted for narrative outcomes if the certainty of outcomes was not determined by systematic review authors. RESULTS Four SRs were included comprising 66 primary studies (n = 10 217). Three SRs evaluated one period (pre-ictal, ictal, and postictal), and one did not determine it. During the pre-ictal period, the more prevalent symptom was confusion, although with a low certainty (due to the heterogeneity and serious risk of bias). One systematic review that only included case reports evaluated the ictal period, finding mood/anxiety disorders, psychosis, and personality changes. The postictal period included the most PM (anxiety: 45.0% and depressive symptoms: 43.0%), with very low certainty, due to risk of bias, potential publication bias, heterogeneity, and failure to report the confidence intervals. SIGNIFICANCE With very low certainty, epileptic periods are characterized by a wide spectrum of PM, being postictal symptoms the most prevalent, predominantly anxiety, and depressive symptoms. Further understanding of these PM of epilepsy could improve the attention of the people with epilepsy. PLAIN LANGUAGE SUMMARY In this review of reviews, we summarize the frequency in which psychiatric manifestations occur in relation to an epileptic seizure. A total of 10 217 patients were reported in the reviews. The most common manifestations included symptoms of anxiety and depression, as well as changes in the normal behavior of the patient. These manifestations occurred most frequently right after the seizure finished.
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Affiliation(s)
- Carlos Alva‐Diaz
- Grupo de Investigación Neurociencia, Efectividad Clínica y Salud PúblicaUniversidad Científica del SurLimaPeru
- Servicio de Neurología, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigación (OADI)Hospital Daniel Alcides CarriónCallaoPeru
| | | | - Alba Navarro‐Flores
- International Max Planck Research School for Translational Psychiatry (IMPRS‐TP)MunichGermany
| | | | - Maria Valdeiglesias‐Abarca
- Servicio de Neurología, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigación (OADI)Hospital Daniel Alcides CarriónCallaoPeru
- Universidad Ricardo PalmaLimaPeru
| | - Krystel Acevedo‐Marino
- Servicio de Neurología, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigación (OADI)Hospital Daniel Alcides CarriónCallaoPeru
- Universidad Ricardo PalmaLimaPeru
| | - Kevin Pacheco‐Barrios
- Neuromodulation Center and Center for Clinical Research LearningSpaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Vicerrectorado de Investigación, Unidad de Investigación Para la Generación y Síntesis de Evidencias en SaludUniversidad San Ignacio de LoyolaLimaPeru
| | - Ramiro Ruiz‐Garcia
- Department of NeuropsychiatryNational Institute of Neurology and NeurosurgeryMexico CityMexico
| | - Jorge Burneo
- Epilepsy Program and Neuroepidemiology Unit, Department of Clinical Neurological Sciences, Schulich School of MedicineWestern UniversityLondonOntarioCanada
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Sokmen O, Tezer FI, Oguz KK, Volkan-Salanci B, Ergün EL, Saygi S. Ictal Coprolalia: Three Cases with Nondominat Frontal Lobe Involvement and Review of the Literature. Clin EEG Neurosci 2024:15500594241247108. [PMID: 38656238 DOI: 10.1177/15500594241247108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Objective: Coprolalia is defined as the involuntary use of obscene, socially unacceptable, and derogatory words. Ictal coprolalia is a rare presentation of epilepsy. This study aimed to determine the localizing and lateralizing value and frequency of ictal coprolalia in epilepsy patients. Methods: Medical files, discharge summaries, and electroencephalography (EEG) reports of 2238 patients were reviewed retrospectively. We identified patients who suffered from ictal coprolalia. Electroencephalography reports, neuroimaging [brain magnetic resonance imaging (MRI), fluorodeoxyglucose positron emission tomography (FDG-PET), single-photon emission computerized tomography (SPECT)] records, F-18 FDG fused on MRI images, and ictal SPECT fused on MRI images were evaluated. Also, original and review articles were identified through a systematic search of Pubmed, Scopus, and Clarivate Analytics. Results: Ictal coprolalia was detected in 3 male (0.15%) patients. In all patients, ictal semiology was extratemporal-frontal type, and potential/proven epileptic focus was non-dominant hemisphere frontal lobe. Topectomy was done in one of the patients, including the suspected dysplastic area plus the area where the electroencephalographic ictal and interictal changes occur, on the left frontal lobe, and the patient had an Engel's classification class IIA. The data depending on the published cases showed that ictal coprolalia was dominant in the male gender and the responsible epileptic area tended to be located in the non-dominant hemisphere frontotemporal region. Conclusion: The rate of ictal coprolalia in the Turkish population is lower compared to other series. Our results are consistent with previous studies in which reported that male preponderance for ictal coprolalia and involvement of non-dominant frontal lobe.
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Affiliation(s)
- Okan Sokmen
- Department of Neurology, School of Medicine, Hacettepe University Hospital, Ankara, Turkey
| | - F Irsel Tezer
- Department of Neurology, School of Medicine, Hacettepe University Hospital, Ankara, Turkey
| | - Kader Karli Oguz
- Department of Radiology, School of Medicine, Hacettepe University Hospital, Ankara, Turkey
| | - Bilge Volkan-Salanci
- Department of Nuclear Medicine, School of Medicine, Hacettepe University Hospital, Ankara, Turkey
| | - Eser Lay Ergün
- Department of Nuclear Medicine, School of Medicine, Hacettepe University Hospital, Ankara, Turkey
| | - Serap Saygi
- Department of Neurology, School of Medicine, Hacettepe University Hospital, Ankara, Turkey
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Anderson LL, Everett‐Morgan D, Petkova SP, Silverman JL, Arnold JC. Ictal vocalizations in the Scn1a +/- mouse model of Dravet syndrome. Epilepsia Open 2023; 8:776-784. [PMID: 36811143 PMCID: PMC10472354 DOI: 10.1002/epi4.12715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 02/18/2023] [Indexed: 02/24/2023] Open
Abstract
OBJECTIVE Ictal vocalizations have shown diagnostic utility in epilepsy patients. Audio recordings of seizures have also been used for seizure detection. The present study aimed to determine whether generalized tonic-clonic seizures in the Scn1a+/- mouse model of Dravet syndrome are associated with either audible mouse squeaks or ultrasonic vocalizations. METHODS Acoustic recordings were captured from group-housed Scn1a+/- mice undergoing video-monitoring to quantify spontaneous seizure frequency. We generated audio clips (n = 129) during a generalized tonic-clonic seizure (GTCS) that included 30 seconds immediately prior to the GTCS (preictal) and 30 seconds following the conclusion of the seizure (postictal). Nonseizure clips (n = 129) were also exported from the acoustic recordings. A blinded reviewer manually reviewed the audio clips, and vocalizations were identified as either an audible (<20 kHz) mouse squeak or ultrasonic (>20 kHz). RESULTS Spontaneous GTCS in Scn1a+/- mice were associated with a significantly higher number of total vocalizations. The number of audible mouse squeaks was significantly greater with GTCS activity. Nearly all (98%) the seizure clips contained ultrasonic vocalizations, whereas ultrasonic vocalizations were present in only 57% of nonseizure clips. The ultrasonic vocalizations emitted in the seizure clips were at a significantly higher frequency and were nearly twice as long in duration as those emitted in the nonseizure clips. Audible mouse squeaks were primarily emitted during the preictal phase. The greatest number of ultrasonic vocalizations was detected during the ictal phase. SIGNIFICANCE Our study shows that ictal vocalizations are exhibited by Scn1a+/- mice. Quantitative audio analysis could be developed as a seizure detection tool for the Scn1a+/- mouse model of Dravet syndrome.
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Affiliation(s)
- Lyndsey L. Anderson
- Lambert Initiative for Cannabinoid TherapeuticsThe University of SydneyCamperdownNew South WalesAustralia
- Discipline of Pharmacology, School of PharmacyFaculty of Medicine and Health, The University of SydneyCamperdownNew South WalesAustralia
- Brain and Mind CentreThe University of SydneyCamperdownNew South WalesAustralia
| | - Declan Everett‐Morgan
- Lambert Initiative for Cannabinoid TherapeuticsThe University of SydneyCamperdownNew South WalesAustralia
| | - Stela P. Petkova
- Department of Psychiatry and Behavioral Sciences, MIND Institute, School of MedicineUniversity of CaliforniaDavisCaliforniaUSA
| | - Jill L. Silverman
- Department of Psychiatry and Behavioral Sciences, MIND Institute, School of MedicineUniversity of CaliforniaDavisCaliforniaUSA
| | - Jonathon C. Arnold
- Lambert Initiative for Cannabinoid TherapeuticsThe University of SydneyCamperdownNew South WalesAustralia
- Discipline of Pharmacology, School of PharmacyFaculty of Medicine and Health, The University of SydneyCamperdownNew South WalesAustralia
- Brain and Mind CentreThe University of SydneyCamperdownNew South WalesAustralia
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Beniczky S, Tatum WO, Blumenfeld H, Stefan H, Mani J, Maillard L, Fahoum F, Vinayan KP, Mayor LC, Vlachou M, Seeck M, Ryvlin P, Kahane P. Seizure semiology: ILAE glossary of terms and their significance. Epileptic Disord 2022; 24:447-495. [PMID: 35770761 DOI: 10.1684/epd.2022.1430] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 02/19/2022] [Indexed: 11/17/2022]
Abstract
This educational topical review and Task Force report aims to address learning objectives of the International League Against Epilepsy (ILAE) curriculum. We sought to extract detailed features involving semiology from video recordings and interpret semiological signs and symptoms that reflect the likely localization for focal seizures in patients with epilepsy. This glossary was developed by a working group of the ILAE Commission on Diagnostic Methods incorporating the EEG Task Force. This paper identifies commonly used terms to describe seizure semiology, provides definitions, signs and symptoms, and summarizes their clinical value in localizing and lateralizing focal seizures based on consensus in the published literature. Video-EEG examples are included to illustrate important features of semiology in patients with epilepsy.
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Ultrasonic Vocalizations – Novel Seizure-Related Manifestation in Rats. Epilepsy Res 2022; 183:106927. [DOI: 10.1016/j.eplepsyres.2022.106927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/25/2022] [Accepted: 04/19/2022] [Indexed: 11/22/2022]
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Frazzini V, Cousyn L, Navarro V. Semiology, EEG, and neuroimaging findings in temporal lobe epilepsies. HANDBOOK OF CLINICAL NEUROLOGY 2022; 187:489-518. [PMID: 35964989 DOI: 10.1016/b978-0-12-823493-8.00021-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Temporal lobe epilepsy (TLE) is the most common type of focal epilepsy. First descriptions of TLE date back in time and detailed portraits of epileptic seizures of temporal origin can be found in early medical reports as well as in the works of various artists and dramatists. Depending on the seizure onset zone, several subtypes of TLE have been identified, each one associated with peculiar ictal semiology. TLE can result from multiple etiological causes, ranging from genetic to lesional ones. While the diagnosis of TLE relies on detailed analysis of clinical as well as electroencephalographic (EEG) features, the lesions responsible for seizure generation can be highlighted by multiple brain imaging modalities or, in selected cases, by genetic investigations. TLE is the most common cause of refractory epilepsy and despite the great advances in diagnostic tools, no lesion is found in around one-third of patients. Surgical treatment is a safe and effective option, requiring presurgical investigations to accurately identify the seizure onset zone (SOZ). In selected cases, presurgical investigations need intracerebral investigations (such as stereoelectroencephalography) or dedicated metabolic imaging techniques (interictal PET and ictal SPECT) to correctly identify the brain structures to be removed.
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Affiliation(s)
- Valerio Frazzini
- AP-HP, Department of Neurology and Department of Clinical Neurophysiology, Epilepsy and EEG Unit, Reference Center for Rare Epilepsies, Pitié-Salpêtrière Hospital, Paris, France; Sorbonne Université, Paris Brain Institute, Team "Dynamics of Neuronal Networks and Neuronal Excitability", Paris, France
| | - Louis Cousyn
- AP-HP, Department of Neurology and Department of Clinical Neurophysiology, Epilepsy and EEG Unit, Reference Center for Rare Epilepsies, Pitié-Salpêtrière Hospital, Paris, France; Sorbonne Université, Paris Brain Institute, Team "Dynamics of Neuronal Networks and Neuronal Excitability", Paris, France
| | - Vincent Navarro
- AP-HP, Department of Neurology and Department of Clinical Neurophysiology, Epilepsy and EEG Unit, Reference Center for Rare Epilepsies, Pitié-Salpêtrière Hospital, Paris, France; Sorbonne Université, Paris Brain Institute, Team "Dynamics of Neuronal Networks and Neuronal Excitability", Paris, France.
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Abstract
PURPOSE A phase I feasibility study to determine the accuracy of identifying seizures based on audio recordings. METHODS We systematically generated 166 audio clips of 30 s duration from 83 patients admitted to an epilepsy monitoring unit between 1/2015 and 12/2016, with one clip during a seizure period and one clip during a non-seizure control period for each patient. Five epileptologists performed a blinded review of the audio clips and rated whether a seizure occurred or not, and indicated the confidence level (low or high) of their rating. The accuracy of individual and consensus ratings were calculated. RESULTS The overall performance of the consensus rating between the five epileptologists showed a positive predictive value (PPV) of 0.91 and a negative predictive value (NPV) of 0.66. The performance improved when confidence was high (PPV of 0.96, NPV of 0.70). The agreement between the epileptologists was moderate with a kappa of 0.584. Hyperkinetic (PPV 0.92, NPV 0.86) and tonic-clonic (PPV and NPV 1.00) seizures were most accurately identified. Seizures with automatisms only and non-motor seizures could not be accurately identified. Specific seizure-related sounds associated with accurate identification included disordered breathing (PPV and NPV 1.00), rhythmic sounds (PPV 0.93, NPV 0.80), and ictal vocalizations (PPV 1.00, NPV 0.97). CONCLUSION This phase I feasibility study shows that epileptologists are able to accurately identify certain seizure types from audio recordings when the seizures produce sounds. This provides guidance for the development of audio-based seizure detection devices and demonstrate which seizure types could potentially be detected.
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Mainka T, Balint B, Gövert F, Kurvits L, van Riesen C, Kühn AA, Tijssen MAJ, Lees AJ, Müller-Vahl K, Bhatia KP, Ganos C. The spectrum of involuntary vocalizations in humans: A video atlas. Mov Disord 2019; 34:1774-1791. [PMID: 31651053 DOI: 10.1002/mds.27855] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 07/22/2019] [Accepted: 08/21/2019] [Indexed: 12/11/2022] Open
Abstract
In clinical practice, involuntary vocalizing behaviors are typically associated with Tourette syndrome and other tic disorders. However, they may also be encountered throughout the entire tenor of neuropsychiatry, movement disorders, and neurodevelopmental syndromes. Importantly, involuntary vocalizing behaviors may often constitute a predominant clinical sign, and, therefore, their early recognition and appropriate classification are necessary to guide diagnosis and treatment. Clinical literature and video-documented cases on the topic are surprisingly scarce. Here, we pooled data from 5 expert centers of movement disorders, with instructive video material to cover the entire range of involuntary vocalizations in humans. Medical literature was also reviewed to document the range of possible etiologies associated with the different types of vocalizing behaviors and to explore treatment options. We propose a phenomenological classification of involuntary vocalizations within different categorical domains, including (1) tics and tic-like vocalizations, (2) vocalizations as part of stereotypies, (3) vocalizations as part of dystonia or chorea, (4) continuous vocalizing behaviors such as groaning or grunting, (5) pathological laughter and crying, (6) vocalizations resembling physiological reflexes, and (7) other vocalizations, for example, those associated with exaggerated startle responses, as part of epilepsy and sleep-related phenomena. We provide comprehensive lists of their associated etiologies, including neurodevelopmental, neurodegenerative, neuroimmunological, and structural causes and clinical clues. We then expand on the pathophysiology of the different vocalizing behaviors and comment on available treatment options. Finally, we present an algorithmic approach that covers the wide range of involuntary vocalizations in humans, with the ultimate goal of improving diagnostic accuracy and guiding appropriate treatment. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Tina Mainka
- Department of Neurology, Charité University Medicine Berlin, Berlin, Germany
| | - Bettina Balint
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK.,Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Felix Gövert
- Department of Neurology, University Hospital Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany
| | - Lille Kurvits
- Department of Neurology, Charité University Medicine Berlin, Berlin, Germany
| | - Christoph van Riesen
- Department of Neurology, Charité University Medicine Berlin, Berlin, Germany.,Department of Neurology, University Medicine Göttingen, Göttingen, Germany
| | - Andrea A Kühn
- Department of Neurology, Charité University Medicine Berlin, Berlin, Germany
| | - Marina A J Tijssen
- Department of Neurology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Andrew J Lees
- Reta Lila Weston Institute of Neurological Studies, UCL, Institute of Neurology, London, UK
| | - Kirsten Müller-Vahl
- Clinic of Psychiatry, Socialpsychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Kailash P Bhatia
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
| | - Christos Ganos
- Department of Neurology, Charité University Medicine Berlin, Berlin, Germany
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Hartl E, Knoche T, Choupina H, Rémi J, Vollmar C, Cunha J, Noachtar S. Quantitative and qualitative analysis of ictal vocalization in focal epilepsy syndromes. Seizure 2018; 60:178-183. [DOI: 10.1016/j.seizure.2018.07.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 07/08/2018] [Accepted: 07/10/2018] [Indexed: 10/28/2022] Open
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Lawley A, Khan HA, Hegde V. Multiple whistling seizures in temporal lobe epilepsy: A case report and review of the literature. Clin Neurol Neurosurg 2016; 151:61-64. [PMID: 27816026 DOI: 10.1016/j.clineuro.2016.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2016] [Revised: 09/06/2016] [Accepted: 10/21/2016] [Indexed: 11/19/2022]
Affiliation(s)
- Andrew Lawley
- Department of Neurosciences, University Hospitals Coventry and Warwickshire, Clifford Bridge Road, Coventry, West Midlands, CV2 2DX, United Kingdom.
| | - Haseeb A Khan
- Department of Neurosciences, University Hospitals Coventry and Warwickshire, Clifford Bridge Road, Coventry, West Midlands, CV2 2DX, United Kingdom.
| | - Vishwajit Hegde
- Department of Neurosciences, University Hospitals Coventry and Warwickshire, Clifford Bridge Road, Coventry, West Midlands, CV2 2DX, United Kingdom.
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Daniel C, Perry MS. Ictal Coprolalia: A Case Report and Review of Ictal Speech as a Localizing Feature in Epilepsy. Pediatr Neurol 2016; 57:88-90. [PMID: 26880529 DOI: 10.1016/j.pediatrneurol.2015.11.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Accepted: 11/26/2015] [Indexed: 01/01/2023]
Abstract
BACKGROUND Recognizing ictal semiology is an essential component to localization of seizure onset, especially in intractable epilepsy where surgical therapies may be beneficial. Ictal speech can be a common component of seizure semiology, but the various forms of ictal speech may have different lateralizing and localizing value. Coprolalia is a very rare form of ictal speech. METHODS We present a 15 year old with medically intractable seizures characterized by agitation and coprolalia. RESULTS The patient underwent surgical evaluation including video EEG, MRI, and functional neuroimaging. These studies indicated onset within the dominant frontal lobe which was further localized using stereo-electroencephalography prior to focal cortical resection. CONCLUSIONS Ictal coprolalia is a rare presentation of ictal speech. We review the various forms of ictal speech and their value in localizing seizure onset.
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Affiliation(s)
- Cerin Daniel
- University of North Texas Health Science Center College of Osteopathic Medicine, Fort Worth, Texas
| | - M Scott Perry
- Jane and John Justin Neuroscience Center, Cook Children's Medical Center, Fort Worth, Texas.
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Bone B, Fogarasi A, Schulz R, Gyimesi C, Kalmar Z, Kovacs N, Ebner A, Janszky J. Secondarily generalized seizures in temporal lobe epilepsy. Epilepsia 2012; 53:817-24. [DOI: 10.1111/j.1528-1167.2012.03435.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Blair RDG. Temporal lobe epilepsy semiology. EPILEPSY RESEARCH AND TREATMENT 2012; 2012:751510. [PMID: 22957241 PMCID: PMC3420439 DOI: 10.1155/2012/751510] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/22/2011] [Accepted: 12/26/2011] [Indexed: 11/17/2022]
Abstract
Epilepsy represents a multifaceted group of disorders divided into two broad categories, partial and generalized, based on the seizure onset zone. The identification of the neuroanatomic site of seizure onset depends on delineation of seizure semiology by a careful history together with video-EEG, and a variety of neuroimaging technologies such as MRI, fMRI, FDG-PET, MEG, or invasive intracranial EEG recording. Temporal lobe epilepsy (TLE) is the commonest form of focal epilepsy and represents almost 2/3 of cases of intractable epilepsy managed surgically. A history of febrile seizures (especially complex febrile seizures) is common in TLE and is frequently associated with mesial temporal sclerosis (the commonest form of TLE). Seizure auras occur in many TLE patients and often exhibit features that are relatively specific for TLE but few are of lateralizing value. Automatisms, however, often have lateralizing significance. Careful study of seizure semiology remains invaluable in addressing the search for the seizure onset zone.
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Affiliation(s)
- Robert D. G. Blair
- Division of Neurology, Department of Medicine, Credit Valley Hospital, University of Toronto, Mississauga, ON, Canada L5M 2N1
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Ictal barking as a manifestation of temporal lobe epilepsy. Epilepsy Behav 2011; 22:407-9. [PMID: 21880548 DOI: 10.1016/j.yebeh.2011.07.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2011] [Revised: 07/18/2011] [Accepted: 07/19/2011] [Indexed: 11/21/2022]
Abstract
Ictal nonspeech vocalizations have been described as manifestations of either frontal or temporal epileptogenicity originating mainly from the dominant hemisphere. Ictal barking, particularly, has been considered a manifestation of mesial frontal epilepsy. A 42-year-old right-handed male with posttraumatic drug-resistant complex partial epilepsy manifested ictal barking near electrographic onset. Extraoperative electrocorticography with subdural electrode coverage of the right frontoparietal and temporal and left frontal surfaces provided surveillance of ictal origin and propagation. Ictal origin was identified in the right mesial temporal lobe with barking vocalization manifesting within 3s of electrographic onset. No subsequent spread of activity was noted beyond the temporal lobe. Resection of the mesial temporal structure resulted in seizure freedom. Pathology identified hippocampal sclerosis. This case supports the notion that an intrinsic, intralobar epileptogenic neural network in either hemisphere can act as a conduit into the limbic and memory circuits without a laterality bias to manifest as barking.
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