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Aud'hui M, Kachenoura A, Yochum M, Kaminska A, Nabbout R, Wendling F, Kuchenbuch M, Benquet P. Detection of seizure onset in childhood absence epilepsy. Clin Neurophysiol 2024; 163:267-279. [PMID: 38644110 DOI: 10.1016/j.clinph.2024.03.034] [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: 10/16/2023] [Revised: 03/19/2024] [Accepted: 03/26/2024] [Indexed: 04/23/2024]
Abstract
OBJECTIVE This study aims to detect the seizure onset, in childhood absence epilepsy, as early as possible. Indeed, interfering with absence seizures with sensory simulation has been shown to be possible on the condition that the stimulation occurs soon enough after the seizure onset. METHODS We present four variations (two supervised, two unsupervised) of an algorithm designed to detect the onset of absence seizures from 4 scalp electrodes, and compare their performance with that of a state-of-the-art algorithm. We exploit the characteristic shape of spike-wave discharges to detect the seizure onset. Their performance is assessed on clinical electroencephalograms from 63 patients with confirmed childhood absence epilepsy. RESULTS The proposed approaches succeed in early detection of the seizure onset, contrary to the classical detection algorithm. Indeed, the results clearly show the superiority of the proposed methods for small delays of detection, under 750 ms from the onset. CONCLUSION The performance of the proposed unsupervised methods is equivalent to that of the supervised ones. The use of only four electrodes makes the pipeline suitable to be embedded in a wearable device. SIGNIFICANCE The proposed pipelines perform early detection of absence seizures, which constitutes a prerequisite for a closed-loop system.
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Affiliation(s)
- M Aud'hui
- Univ Rennes, INSERM, LTSI - UMR 1099, Rennes F-35000, France
| | - A Kachenoura
- Univ Rennes, INSERM, LTSI - UMR 1099, Rennes F-35000, France
| | - M Yochum
- Univ Rennes, INSERM, LTSI - UMR 1099, Rennes F-35000, France.
| | - A Kaminska
- Department of Clinical Neurophysiology, Hôpital Necker Enfants Malades, AP-HP, Université de Paris, Paris, France
| | - R Nabbout
- Department of Clinical Neurophysiology, Hôpital Necker Enfants Malades, AP-HP, Université de Paris, Paris, France; Reference Center for Rare Epilepsies, Department of Pediatric Neurology, Member of EPICARE Network, Institute Imagine INSERM 1163, Université de Paris, Paris, France
| | - F Wendling
- Univ Rennes, INSERM, LTSI - UMR 1099, Rennes F-35000, France
| | - M Kuchenbuch
- Pediatric and Genetic Department, CHU, Nancy, France
| | - P Benquet
- Univ Rennes, INSERM, LTSI - UMR 1099, Rennes F-35000, France
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Le Roux M, Benallegue N, Gueden S, Rupin-Mas M, Van Bogaert P. Care of pharmaco-resistant absence seizures in childhood. Rev Neurol (Paris) 2024; 180:251-255. [PMID: 38388226 DOI: 10.1016/j.neurol.2024.01.002] [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: 11/16/2023] [Revised: 01/03/2024] [Accepted: 01/08/2024] [Indexed: 02/24/2024]
Abstract
In childhood absence epilepsy, pharmaco-resistance occurs in 20-30% of patients. In that situation, glucose transporter type 1 deficiency has to be ruled out, especially if absences started before the age of four years and if neurological signs are present. If ethosuximide, valproate and lamotrigine have failed in monotherapy or in association, there are currently no valuable therapeutic options. The same rules apply for epilepsy with myoclonic absences. Importantly, arguments supporting that making the patient seizure-free will improve eventual associated cognitive deficits such as attention deficit are very weak. Therefore, limiting the cognitive side effects of the anti-epileptic drugs has always to be a priority when faced with typical refractory absences in childhood. In epilepsy with eyelid myoclonia, the majority of patients are pharmaco-resistant. However, absence seizures, if present, tend to be very brief, and seizures are limited in many patients to eyelid myoclonia that eventually do not affect their quality of life and are well attenuated by wearing blue lenses. Atypical absences occurring in the course a developmental and/or epileptic encephalopathy are often pharmaco-resistant. In that situation, characterizing the type of epilepsy syndrome and searching for a specific genetic or structural etiology are needed to offer the best therapeutic options to the patient.
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Affiliation(s)
- M Le Roux
- Department of Pediatric Neurology, CHU d'Angers, Angers, France
| | - N Benallegue
- Department of Pediatric Neurology, CHU d'Angers, Angers, France
| | - S Gueden
- Department of Pediatric Neurology, CHU d'Angers, Angers, France
| | - M Rupin-Mas
- Department of Pediatric Neurology, CHU d'Angers, Angers, France
| | - P Van Bogaert
- Department of Pediatric Neurology, CHU d'Angers, Angers, France; Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers, Angers, France.
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Borges DF, Fernandes J, Soares JI, Casalta-Lopes J, Carvalho D, Beniczky S, Leal A. The sound of silence: Quantification of typical absence seizures by sonifying EEG signals from a custom-built wearable device. Epileptic Disord 2024; 26:188-198. [PMID: 38279944 DOI: 10.1002/epd2.20194] [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: 11/09/2023] [Revised: 11/29/2023] [Accepted: 12/22/2023] [Indexed: 01/29/2024]
Abstract
OBJECTIVE To develop and validate a method for long-term (24-h) objective quantification of absence seizures in the EEG of patients with childhood absence epilepsy (CAE) in their real home environment using a wearable device (waEEG), comparing automatic detection methods with auditory recognition after seizure sonification. METHODS The waEEG recording was acquired with two scalp electrodes. Automatic analysis was performed using previously validated software (Persyst® 14) and then fully reviewed by an experienced clinical neurophysiologist. The EEG data were converted into an audio file in waveform format with a 60-fold time compression factor. The sonified EEG was listened to by three inexperienced observers and the number of seizures and the processing time required for each data set were recorded blind to other data. Quantification of seizures from the patient diary was also assessed. RESULTS Eleven waEEG recordings from seven CAE patients with an average age of 8.18 ± 1.60 years were included. No differences in the number of seizures were found between the recordings using automated methods and expert audio assessment, with significant correlations between methods (ρ > .89, p < .001) and between observers (ρ > .96, p < .001). For the entire data set, the audio assessment yielded a sensitivity of .830 and a precision of .841, resulting in an F1 score of .835. SIGNIFICANCE Auditory waEEG seizure detection by lay medical personnel provided similar accuracy to post-processed automatic detection by an experienced clinical neurophysiologist, but in a less time-consuming procedure and without the need for specialized resources. Sonification of long-term EEG recordings in CAE provides a user-friendly and cost-effective clinical workflow for quantifying seizures in clinical practice, minimizing human and technical constraints.
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Affiliation(s)
- Daniel Filipe Borges
- Department of Neurophysiology, School of Health (ESS), Polytechnic University of Porto, Porto, Portugal
- Center for Translational Health and Medical Biotechnology Research (TBIO), School of Health, Polytechnic University of Porto, Porto, Portugal
- Faculty of Medicine, University of Porto, Porto, Portugal
| | - João Fernandes
- Department of Clinical Physiology, Medical Imaging and Radiotherapy, Polytechnic University of Coimbra, Coimbra Health School, Coimbra, Portugal
- Refractory Epilepsy Reference Center, Centro Hospitalar de Lisboa Ocidental, Lisboa, Portugal
| | - Joana Isabel Soares
- Department of General Sciences, Polytechnic University of Coimbra, Coimbra Health School, Coimbra, Portugal
- Department of Biomedicine, Faculty of Medicine, University of Porto, Porto, Portugal
- Neuronal Networks Group, Institute for Research and Innovation in Health Sciences (i3S), University of Porto, Porto, Portugal
| | - João Casalta-Lopes
- Department of General Sciences, Polytechnic University of Coimbra, Coimbra Health School, Coimbra, Portugal
- Department of Radiotherapy, Centro Hospitalar Universitário de São João, Porto, Portugal
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
| | - Daniel Carvalho
- Department of Pediatric Neurology, Centro Hospitalar Universitário de Lisboa Central, Lisbon, Portugal
| | - Sándor Beniczky
- Department of Clinical Neurophysiology, Danish Epilepsy Center, Dianalund, Denmark
- Department of Clinical Medicine and Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark
| | - Alberto Leal
- Unidade Autónoma de Neurofisiologia, Hospital Júlio de Matos, Lisbon, Portugal
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Sitnikova E. Behavioral and Cognitive Comorbidities in Genetic Rat Models of Absence Epilepsy (Focusing on GAERS and WAG/Rij Rats). Biomedicines 2024; 12:122. [PMID: 38255227 PMCID: PMC10812980 DOI: 10.3390/biomedicines12010122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 01/02/2024] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
Absence epilepsy is a non-convulsive type of epilepsy characterized by the sudden loss of awareness. It is associated with thalamo-cortical impairment, which may cause neuropsychiatric and neurocognitive problems. Rats with spontaneous absence-like seizures are widely used as in vivo genetic models for absence epilepsy; they display behavioral and cognitive problems similar to epilepsy in humans, such as genetic absence epilepsy rats from Strasbourg (GAERS) and Wistar Albino rats from Rijswijk (WAG/Rij). Depression- and anxiety-like behaviors were apparent in GAERS, but no anxiety and depression-like symptoms were found in WAG/Rij rats. Deficits in executive functions and memory impairment in WAG/Rij rats, i.e., cognitive comorbidities, were linked to the severity of epilepsy. Wistar rats can develop spontaneous seizures in adulthood, so caution is advised when using them as a control epileptic strain. This review discusses challenges in the field, such as putative high emotionality in genetically prone rats, sex differences in the expression of cognitive comorbidities, and predictors of cognitive problems or biomarkers of cognitive comorbidities in absence epilepsy, as well as the concept of "the cognitive thalamus". The current knowledge of behavioral and cognitive comorbidities in drug-naive rats with spontaneous absence epilepsy is beneficial for understanding the pathophysiology of absence epilepsy, and for finding new treatment strategies.
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Affiliation(s)
- Evgenia Sitnikova
- Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 5A Butlerova St., Moscow 117485, Russia
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Eussen MJ, Jansen JF, Voncken TP, Debeij-Van Hall MH, Hendriksen JG, Vermeulen RJ, Klinkenberg S, Backes WH, Drenthen GS. Exploring the core network of the structural covariance network in childhood absence epilepsy. Heliyon 2023; 9:e22657. [PMID: 38107302 PMCID: PMC10724663 DOI: 10.1016/j.heliyon.2023.e22657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 10/04/2023] [Accepted: 11/16/2023] [Indexed: 12/19/2023] Open
Abstract
Childhood absence epilepsy (CAE) is a generalized pediatric epilepsy, which is generally considered to be a benign condition since most children become seizure-free before reaching adulthood. However, cognitive deficits and changes of brain morphological have been previously reported in CAE. These morphological changes, even if they might be very subtle, are not independent due to the underlying network structure and can be captured by the structural covariance network (SCN). In this study, SCNs were used to quantify the structural brain network for children with CAE as well as controls. Seventeen children with CAE (6-12y) and fifteen controls (6-12y) were included. To estimate the SCN, T1-weighted images were acquired and parcellated into 68 cortical regions. Graph measures characterizing the core network architecture, i.e. the assortativity and rich-club coefficient, were calculated for all individuals. Multivariable linear regression models, including age and sex as covariates, were used to assess differences between children with CAE and controls. Additionally, potential relations between the core network and cognitive performance was investigated. A lower assortativity (i.e. less efficiently organized core network organization) was found for children with CAE compared to controls. Moreover, better cognitive performance was found to relate to stronger assortative mixing pattern (i.e. more efficient core network structure). Rich-club coefficients did not differ between groups, nor relate to cognitions. The core network organization of the SCN in children with CAE tend to be less efficient organized compared to controls, and relates to cognitive performance, and therefore this study provides novel insights into the SCN organization in relation to CAE and cognition.
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Affiliation(s)
- Merel J.A. Eussen
- Department of Biomedical Technology, Eindhoven University of Technology, Eindhoven, the Netherlands
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jacobus F.A. Jansen
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Twan P.C. Voncken
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
- Epilepsy Center Kempenhaeghe, Heeze, the Netherlands
| | | | - Jos G.M. Hendriksen
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
- Epilepsy Center Kempenhaeghe, Heeze, the Netherlands
| | - R. Jeroen Vermeulen
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Sylvia Klinkenberg
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Walter H. Backes
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Gerhard S. Drenthen
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
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Sun F, Wang S, Wang Y, Sun J, Li Y, Li Y, Xu Y, Wang X. Differences in generation and maintenance between ictal and interictal generalized spike-and-wave discharges in childhood absence epilepsy: A magnetoencephalography study. Epilepsy Behav 2023; 148:109440. [PMID: 37748416 DOI: 10.1016/j.yebeh.2023.109440] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 09/05/2023] [Accepted: 09/05/2023] [Indexed: 09/27/2023]
Abstract
PURPOSE Childhood absence epilepsy (CAE) is characterized by impaired consciousness and distinct electroencephalogram (EEG) patterns. However, interictal epileptiform discharges (IEDs) do not lead to noticeable symptoms. This study examines the disparity between ictal and interictal generalized spike-and-wave discharges (GSWDs) to determine the mechanisms behind CAE and consciousness. METHODS We enrolled 24 patients with ictal and interictal GSWDs in the study. The magnetoencephalography (MEG) data were recorded before and during GSWDs at a sampling rate of 6000 Hz and analyzed across six frequency bands. The absolute and relative spectral power were estimated with the Minimum Norm Estimate (MNE) combined with the Welch technique. All the statistical analyses were performed using paired-sample tests. RESULTS During GSWDs, the right lateral occipital cortex indicated a significant difference in the theta band (5-7 Hz) with stronger power (P = 0.027). The interictal group possessed stronger spectral power in the delta band (P < 0.01) and weaker power in the alpha band (P < 0.01) as early as 10 s before GSWDs in absolute and relative spectral power. Additionally, the ictal group revealed enhanced spectral power inside the occipital cortex in the alpha band and stronger spectral power in the right frontal regions within beta (15-29 Hz), gamma 1 (30-59 Hz), and gamma 2 (60-90 Hz) bands. CONCLUSIONS GSWDs seem to change gradually, with local neural activity changing even 10 s before discharge. During GSWDs, visual afferent stimulus insensitivity could be related to the impaired response state in CAE. The inhibitory signal in the low-frequency band can shorten GSWD duration, thereby achieving seizure control through inhibitory effect strengthening.
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Affiliation(s)
- Fangling Sun
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Siyi Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yingfan Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jintao Sun
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yihan Li
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yanzhang Li
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yue Xu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoshan Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
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Caciagli L, Ratcliffe C, Xiao F, van Graan LA, Trimmel K, Vollmar C, Centeno M, Duncan JS, Thompson PJ, Baxendale S, Koepp MJ, Wandschneider B. Cognitive phenotype of juvenile absence epilepsy: An investigation of patients and unaffected siblings. Epilepsia 2023; 64:2792-2805. [PMID: 37475704 PMCID: PMC10952612 DOI: 10.1111/epi.17719] [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: 11/24/2022] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 07/22/2023]
Abstract
OBJECTIVE The cognitive profile of juvenile absence epilepsy (JAE) remains largely uncharacterized. This study aimed to: (1) elucidate the neuropsychological profile of JAE; (2) identify familial cognitive traits by investigating unaffected JAE siblings; (3) establish the clinical meaningfulness of JAE-associated cognitive traits; (4) determine whether cognitive traits across the idiopathic generalized epilepsy (IGE) spectrum are shared or syndrome-specific, by comparing JAE to juvenile myoclonic epilepsy (JME); and (5) identify relationships between cognitive abilities and clinical characteristics. METHODS We investigated 123 participants-23 patients with JAE, 16 unaffected siblings of JAE patients, 45 healthy controls, and 39 patients with JME-who underwent a comprehensive neuropsychological test battery including measures within four cognitive domains: attention/psychomotor speed, language, memory, and executive function. We correlated clinical measures with cognitive performance data to decode effects of age at onset and duration of epilepsy. RESULTS Cognitive performance in individuals with JAE was reduced compared to controls across attention/psychomotor speed, language, and executive function domains; those with ongoing seizures additionally showed lower memory scores. Patients with JAE and their unaffected siblings had similar language impairment compared to controls. Individuals with JME had worse response inhibition than those with JAE. Across all patients, those with older age at onset had better attention/psychomotor speed performance. SIGNIFICANCE JAE is associated with wide-ranging cognitive difficulties that encompass domains reliant on frontal lobe processing, including language, attention, and executive function. JAE siblings share impairment with patients on linguistic measures, indicative of a familial trait. Executive function subdomains may be differentially affected across the IGE spectrum. Cognitive abilities are detrimentally modulated by an early age at seizure onset.
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Affiliation(s)
- Lorenzo Caciagli
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
- Department of Neurology, Inselspital, Sleep‐Wake‐Epilepsy‐Center, Bern University HospitalUniversity of BernBernSwitzerland
| | - Corey Ratcliffe
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular, and Integrative BiologyUniversity of LiverpoolLiverpoolUK
- Department of Neuroimaging and Interventional RadiologyNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Fenglai Xiao
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Louis A. van Graan
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Karin Trimmel
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
- Department of NeurologyMedical University of ViennaViennaAustria
| | - Christian Vollmar
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
- Department of NeurologyLudwig‐Maximilians‐UniversitätMunichGermany
| | - Maria Centeno
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
- Epilepsy Unit, Department of NeurologyHospital Clínic de BarcelonaBarcelonaSpain
| | - John S. Duncan
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Pamela J. Thompson
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Sallie Baxendale
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Matthias J. Koepp
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Britta Wandschneider
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
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Sun F, Wang Y, Li Y, Li Y, Wang S, Xu F, Wang X. Variation in functional networks between clinical and subclinical discharges in childhood absence epilepsy: A multi-frequency MEG study. Seizure 2023; 111:109-121. [PMID: 37598560 DOI: 10.1016/j.seizure.2023.08.005] [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: 04/24/2023] [Revised: 08/06/2023] [Accepted: 08/09/2023] [Indexed: 08/22/2023] Open
Abstract
OBJECTIVE Two types of spike-and-wave discharges (SWDs) exist in childhood absence epilepsy (CAE): clinical discharges are prolonged and manifest primarily as impaired consciousness, whereas subclinical discharges are brief with few objectively visible symptoms. This study aimed to compare neural functional network and default mode network (DMN) activity between clinical and subclinical discharges to better understand the underlying mechanism of CAE. METHODS Using magnetoencephalography (MEG) data from 21 patients, we obtained 25 segments each of clinical discharges and subclinical discharges. Amplitude envelope correlation analysis was used to construct functional networks and graph theory was used to calculate network topological data. We then compared differences in functional connectivity within the DMN between clinical and subclinical discharges. All statistical comparisons were performed using paired-sample tests. RESULTS Compared to subclinical discharges, the functional network of clinical discharges exhibited higher synchronization - particularly in the parahippocampal gyrus - as early as 10 s before the seizure. Additionally, the functional network of clinical SWDs presented an anterior shift of key nodes in the alpha frequency band. Regarding clinical discharge progression, there were gradual increases in the parameter node strengths (S), clustering coefficients (C), and global efficiency (E) of the functional networks, while the path lengths (L) decreased. These changes were most prominent at the onset of discharges and followed by some recovery in the high-frequency bands, but no significant change in the low-frequency bands. Furthermore, connections within the DMN during the discharge period were significantly stronger for clinical discharge compared to subclinical discharges. CONCLUSIONS These findings suggest that a more regular network before abnormal discharges in clinical discharges contributes to SWD explosion and that the parahippocampal gyrus plays an important role in maintaining oscillations. An absence seizure is a gradual process and the emergence of SWDs may be accompanied by initiation of inhibitory mechanisms. Enhanced functional connectivity among DMN brain regions may indicate that patients have entered a state of introspection, and functional abnormalities in the parahippocampal gyrus may be associated with patients' transient memory loss.
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Affiliation(s)
- Fangling Sun
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yingfan Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yihan Li
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yanzhang Li
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Siyi Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Fengyuan Xu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoshan Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
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Javurkova A, Zivnustka M, Brezinova T, Raudenska J, Zarubova J, Marusic P. Neurocognitive profile in patients with idiopathic generalized epilepsies: Differences between patients, their biological siblings, and healthy controls. Epilepsy Behav 2023; 142:109204. [PMID: 37086591 DOI: 10.1016/j.yebeh.2023.109204] [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] [Received: 12/02/2022] [Revised: 03/25/2023] [Accepted: 03/26/2023] [Indexed: 04/24/2023]
Abstract
BACKGROUND Idiopathic generalized epilepsy (IGE) is one of the most common epilepsies and is believed to have a strong genetic origin. Patients with IGE present largely heterogeneous neurocognitive profiles and might show some neurocognitive impairments. Furthermore, IGE siblings may demonstrate worse results in neuropsychological tests as well. In our study, we aimed to map the neurocognitive profile both in patients with IGE and the siblings. We also sought to establish a neurocognitive profile for each IGE syndrome. METHODS The research sample included 110 subjects (IGE n = 46, biological siblings BS n = 16, and healthy controls n = 48) examined. Subjects were neuropsychologically examined in domains of intelligence, attention, memory, executive, and motor functions. The data obtained from the examination were statistically processed to determine whether and how IGE patients (including distinct syndromes) and the siblings differed neurocognitively from healthy controls (adjusted z-scores by age, education, and gender, and composite z-scores of cognitive domains). Data on anti-seizure medication, including defined daily doses, were obtained and included in the analysis. RESULTS IGE patients and their biological siblings performed significantly worse in most of the neuropsychological tests than healthy controls. The neurocognitive profile of composite z-scores showed that IGE and biological siblings had equally significantly impaired performance in executive functions. IGE group also demonstrated impaired composite attention and motor function scores. The profile of individual IGE syndromes showed that JAE, JME, and EGTCS had significantly worse performance in composite execution score and motor function score. JAE presented significantly worse performance in intelligence and attention. JME exhibited significantly worse composite score in the attention domain. Anti-seizure medication, depression, and quality of life were unrelated to cognitive performance in IGE group. The level of depression significantly predicted the overall value of quality of life in patients with IGE, while cognitive domains, sociodemographic, and clinical factors were unrelated. CONCLUSION Our study highlights the importance to consider the neurocognitive profile of IGE patients that can lead to difficulties in their education, acceptance, and management of coping strategies. Cognitive difficulties of IGE siblings could support a hypothesis that these impairments emerge from heritable traits.
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Affiliation(s)
- A Javurkova
- Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic; Department of Nursing, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
| | - M Zivnustka
- Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
| | - T Brezinova
- Department of Clinical Neuropsychology, University of Groningen, Netherlands.
| | - J Raudenska
- Department of Nursing, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
| | - J Zarubova
- Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
| | - P Marusic
- Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
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Ferguson B, Glick C, Huguenard JR. Prefrontal PV interneurons facilitate attention and are linked to attentional dysfunction in a mouse model of absence epilepsy. eLife 2023; 12:e78349. [PMID: 37014118 PMCID: PMC10072875 DOI: 10.7554/elife.78349] [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: 03/03/2022] [Accepted: 02/07/2023] [Indexed: 04/05/2023] Open
Abstract
Absence seizures are characterized by brief periods of unconsciousness accompanied by lapses in motor function that can occur hundreds of times throughout the day. Outside of these frequent moments of unconsciousness, approximately a third of people living with the disorder experience treatment-resistant attention impairments. Convergent evidence suggests prefrontal cortex (PFC) dysfunction may underlie attention impairments in affected patients. To examine this, we use a combination of slice physiology, fiber photometry, electrocorticography (ECoG), optogenetics, and behavior in the Scn8a+/-mouse model of absence epilepsy. Attention function was measured using a novel visual attention task where a light cue that varied in duration predicted the location of a food reward. In Scn8a+/-mice, we find altered parvalbumin interneuron (PVIN) output in the medial PFC (mPFC) in vitro and PVIN hypoactivity along with reductions in gamma power during cue presentation in vivo. This was associated with poorer attention performance in Scn8a+/-mice that could be rescued by gamma-frequency optogenetic stimulation of PVINs. This highlights cue-related PVIN activity as an important mechanism for attention and suggests PVINs may represent a therapeutic target for cognitive comorbidities in absence epilepsy.
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Affiliation(s)
- Brielle Ferguson
- Department of Neurology and Neurological Sciences, Stanford UniversityStanfordUnited States
- Department of Genetics, Harvard Medical SchoolBostonUnited States
- Program in Neurobiology and Department of Neurology, Boston Children's HospitalBostonUnited States
| | - Cameron Glick
- Department of Neurology and Neurological Sciences, Stanford UniversityStanfordUnited States
| | - John R Huguenard
- Department of Neurology and Neurological Sciences, Stanford UniversityStanfordUnited States
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11
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Dharan AL, Bowden SC, Peterson A, Lai A, Seneviratne U, Dabscheck G, Nurse E, Loughman A, Parsons N, D'Souza WJ. A cross-sectional investigation of cognition and epileptiform discharges in juvenile absence epilepsy. Epilepsia 2023; 64:742-753. [PMID: 36625418 DOI: 10.1111/epi.17505] [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: 09/25/2022] [Revised: 12/21/2022] [Accepted: 01/06/2023] [Indexed: 01/11/2023]
Abstract
OBJECTIVES Despite the prevalence of cognitive symptoms in the idiopathic generalized epilepsies (IGEs), cognitive dysfunction in juvenile absence epilepsy (JAE), a common yet understudied IGE subtype, remains poorly understood. This descriptive study provides a novel, comprehensive characterization of cognitive functioning in a JAE sample and examines the relationship between cognition and 24-h epileptiform discharge load. METHOD Forty-four individuals diagnosed with JAE underwent cognitive assessment using Woodcock Johnson III Test of Cognitive Abilities with concurrent 24-h ambulatory EEG monitoring. Generalized epileptiform discharges of any length, and prolonged generalized discharges ≥3 s were quantified across wakefulness and sleep. The relationship between standardized cognitive scores and epileptiform discharges was assessed through regression models. RESULTS Cognitive performances in overall intellectual ability, acquired comprehension-knowledge, processing speed, long-term memory storage and retrieval, and executive processes were 0.63-1.07 standard deviation (SD) units lower in the JAE group compared to the population reference mean, adjusted for educational attainment. Prolonged discharges (≥3 s) were recorded in 20 patients (47.6%) from 42 available electroencephalography (EEG) studies and were largely unreported. Duration and number of prolonged discharges were associated with reduced processing speed and long-term memory storage and retrieval. SIGNIFICANCE Cognitive dysfunction is seen in patients with JAE across various cognitive abilities, including those representing more stable processes like general intellect. During 24-h EEG, prolonged epileptiform discharges are common yet underreported in JAE despite treatment, and they show moderate effects on cognitive abilities. If epileptiform burden is a modifiable predictor of cognitive dysfunction, therapeutic interventions should consider quantitative 24-h EEG with routine neuropsychological screening. The growing recognition of the spectrum of neuropsychological comorbidities of IGE highlights the value of multidisciplinary approaches to explore the causes and consequences of cognitive deficits in epilepsy.
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Affiliation(s)
- Anita L Dharan
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Stephen C Bowden
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Neuroscience, St. Vincent's Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Andre Peterson
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Fitzroy, Victoria, Australia
| | - Alan Lai
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Fitzroy, Victoria, Australia
| | - Udaya Seneviratne
- Department of Neuroscience, St. Vincent's Hospital, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Neuroscience, Monash Medical Centre Clayton, Melbourne, Victoria, Australia
| | - Gabriel Dabscheck
- Department of Neurology, The Royal Children's Hospital Melbourne, Parkville, Victoria, Australia
- Neurosciences, Murdoch Childrens Research Institute, Parkville, Victoria, Australia
| | - Ewan Nurse
- Seer Medical Inc Research, Melbourne, Victoria, Australia
| | - Amy Loughman
- Food & Mood Centre, Institute of Mental and Physical Health and Clinical Translation, Deakin University, Geelong, Victoria, Australia
| | - Nicholas Parsons
- Deakin University, Cognitive Neuroscience Unit, School of Psychology, Melbourne, Victoria, Australia
| | - Wendyl J D'Souza
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Fitzroy, Victoria, Australia
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12
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Johnson E, Atkinson P, Muggeridge A, Cross JH, Reilly C. Impact of epilepsy on learning and behaviour and needed supports: Views of children, parents and school staff. Eur J Paediatr Neurol 2022; 40:61-68. [PMID: 36031701 DOI: 10.1016/j.ejpn.2022.08.001] [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] [Received: 01/18/2022] [Revised: 07/01/2022] [Accepted: 08/08/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND There is limited data on the views of young people with epilepsy, their parents and school staff regarding the impact of epilepsy on learning and behaviour in school. The purpose of the study was to gain an understanding of the impact of epilepsy on learning and behaviour and needed supports according to children with epilepsy, their parents and supporting school staff. METHODS School-aged children (n = 20) with 'active epilepsy' (taking anti-seizure Medications (ASMs) for epilepsy), their parents (n = 68) and school staff (n = 56) were interviewed or completed surveys. The quantitative data was analysed using descriptive statistics and responses were compared for children attending mainstream and special schools using chi-square analyses. The answers to open questions were answered using thematic analyses. RESULTS The majority (53%) of children with epilepsy felt that epilepsy affected their learning including aspects such as memory, attention and concentration but also physical and emotional wellbeing including increased tiredness and lowered self-confidence. In addition, children brought up possible negative aspects of taking ASMs including increased irritability and emotional reactivity. The children also mentioned that epilepsy in school was associated with stigma and restrictions. The majority (85%) of parents agreed that epilepsy affects the child's learning/behaviour while more staff agreed that epilepsy affects learning (61%) than behaviour (45%). Most parents agreed that that their child's school provided the appropriate resources to support their child's learning (79%) and 72% agreed that they were satisfied overall with the support their child received at school. However, parents of children attending special schools were more likely to agree that the child's school provided appropriate resources to support their child's learning (p = 0.034) and be satisfied with the support their child received in school (p = 0.02), than parents of children attending mainstream schools. With respect to current or desired supports, analysis of the children's responses indicated that they want access to supportive environments outside the classroom, accommodations in tests/exams and increased support from trusted adults. Parent responses included approaches that promote child wellbeing, environmental accommodations, a high ratio of adult support and a consideration of the child's communication needs. Staff views regarding optimal strategies included a high level of adult support for the child, environmental accommodations, use of multimodal learning, adapting communication and approaches that promote psychological wellbeing. CONCLUSIONS The majority of children perceived that epilepsy affected their learning and behaviour in school including leading to specific learning difficulties, but also negative impacts on emotional and physical wellbeing. Levels of parental satisfaction with supports were significantly higher in special schools compared with mainstream schools. Children, parents and staff highlighted a number of supports which they felt can support the child with epilepsy's learning but also emotional wellbeing.
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Affiliation(s)
- Emma Johnson
- Research Department, Young Epilepsy, Lingfield, Surrey, RH7 6PW, UK; Great Ormond Street Hospital for Children NHS Trust, Great Ormond Street, London, WC1N 3JH, UK
| | - Patricia Atkinson
- Child Development Centre, Crawley Hospital, West Green Drive, Crawley, RH11 7DH, West Sussex, UK
| | - Amy Muggeridge
- Research Department, Young Epilepsy, Lingfield, Surrey, RH7 6PW, UK
| | - J Helen Cross
- Research Department, Young Epilepsy, Lingfield, Surrey, RH7 6PW, UK; Great Ormond Street Hospital for Children NHS Trust, Great Ormond Street, London, WC1N 3JH, UK; UCL Great Ormond Street Institute of Child Health (ICH), 30 Guilford Street, London, WC1N 1EH UK
| | - Colin Reilly
- Research Department, Young Epilepsy, Lingfield, Surrey, RH7 6PW, UK; UCL Great Ormond Street Institute of Child Health (ICH), 30 Guilford Street, London, WC1N 1EH UK.
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13
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Gauffin H, Landtblom AM, Vigren P, Frick A, Engström M, McAllister A, Karlsson T. Similar Profile and Magnitude of Cognitive Impairments in Focal and Generalized Epilepsy: A Pilot Study. Front Neurol 2022; 12:746381. [PMID: 35095714 PMCID: PMC8790571 DOI: 10.3389/fneur.2021.746381] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 12/14/2021] [Indexed: 11/21/2022] Open
Abstract
Introduction: Cognitive impairments in epilepsy are not well-understood. In addition, long-term emotional, interpersonal, and social consequences of the underlying disturbances are important to evaluate. Purpose: To compare cognitive function including language in young adults with focal or generalized epilepsy. In addition, quality of life and self-esteem were investigated. Patients and Methods: Young adults with no primary intellectual disability, 17 with focal epilepsy and 11 with generalized epilepsy participated and were compared to 28 healthy controls. Groups were matched on age (mean = 26 years), sex, and education. Participants were administered a battery of neuropsychological tasks and carried out self-ratings of quality of life, self-esteem, and psychological problems. Results: Similar impairments regarding cognitive function were noted in focal and generalized epilepsy. The cognitive domains tested were episodic long-term memory, executive functions, attention, working memory, visuospatial functions, and language. Both epilepsy groups had lower results compared to controls (effect sizes 0.24–1.07). The total number of convulsive seizures was predictive of episodic long-term memory function. Participants with focal epilepsy reported lower quality of life than participants with generalized epilepsy. Lowered self-esteem values were seen in both epilepsy groups and particularly in those with focal epilepsy. Along with measures of cognitive speed and depression, the total number of seizures explained more than 50% of variation in quality of life. Conclusion: Interestingly, similarities rather than differences characterized the widespread cognitive deficits that were seen in focal and generalized epilepsy, ranging from mild to moderate. These similarities were modified by quality of life and self-esteem. This study confirms the notion that epilepsy is a network disorder.
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Affiliation(s)
- Helena Gauffin
- Department of Neurology, Faculty of Medicine and Health Sciences Linköping University, Linköping, Sweden.,Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences Linköping University, Linköping, Sweden
| | - Anne-Marie Landtblom
- Department of Neurology, Faculty of Medicine and Health Sciences Linköping University, Linköping, Sweden.,Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences Linköping University, Linköping, Sweden.,Department of Neuroscience, Neurology, Uppsala University, Uppsala, Sweden.,Neurology Division, Clinic of Medical Specialist, Motala General Hospital, Motala, Sweden.,Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
| | - Patrick Vigren
- Department of Neurology, Faculty of Medicine and Health Sciences Linköping University, Linköping, Sweden.,Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences Linköping University, Linköping, Sweden
| | - Andreas Frick
- The Beijer Laboratory, Department of Neuroscience, Psychiatry, Uppsala University, Uppsala, Sweden
| | - Maria Engström
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.,Department of Medical, Health and Caring Sciences, Linköping University, Linköping, Sweden
| | - Anita McAllister
- Division of Speech Language Pathology, Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, Sweden.,Women's Health and Allied Health Professionals Theme, Medical Unit Speech and Language Pathology, Karolinska University Hospital, Stockholm, Sweden
| | - Thomas Karlsson
- Department of Neuroscience, Neurology, Uppsala University, Uppsala, Sweden.,Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
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14
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Sun J, Li Y, Zhang K, Sun Y, Wang Y, Miao A, Xiang J, Wang X. Frequency-Dependent Dynamics of Functional Connectivity Networks During Seizure Termination in Childhood Absence Epilepsy: A Magnetoencephalography Study. Front Neurol 2021; 12:744749. [PMID: 34759883 PMCID: PMC8573389 DOI: 10.3389/fneur.2021.744749] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 09/21/2021] [Indexed: 12/04/2022] Open
Abstract
Objective: Our aim was to investigate the dynamics of functional connectivity (FC) networks during seizure termination in patients with childhood absence epilepsy (CAE) using magnetoencephalography (MEG) and graph theory (GT) analysis. Methods: MEG data were recorded from 22 drug-naïve patients diagnosed with CAE. FC analysis was performed to evaluate the FC networks in seven frequency bands of the MEG data. GT analysis was used to assess the topological properties of FC networks in different frequency bands. Results: The patterns of FC networks involving the frontal cortex were altered significantly during seizure termination compared with those during the ictal period. Changes in the topological parameters of FC networks were observed in specific frequency bands during seizure termination compared with those in the ictal period. In addition, the connectivity strength at 250–500 Hz during the ictal period was negatively correlated with seizure frequency. Conclusions: FC networks associated with the frontal cortex were involved in the termination of absence seizures. The topological properties of FC networks in different frequency bands could be used as new biomarkers to characterize the dynamics of FC networks related to seizure termination.
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Affiliation(s)
- Jintao Sun
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Yihan Li
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Ke Zhang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Yulei Sun
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Yingfan Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Ailiang Miao
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Jing Xiang
- Division of Neurology, MEG Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Xiaoshan Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
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15
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Altered peri-seizure EEG microstate dynamics in patients with absence epilepsy. Seizure 2021; 88:15-21. [PMID: 33799135 DOI: 10.1016/j.seizure.2021.03.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 03/20/2021] [Accepted: 03/20/2021] [Indexed: 10/21/2022] Open
Abstract
OBJECTIVE To investigate whether the parameters of EEG microstates changed before and after an absence seizure episode. METHODS AE patients with a current high frequency of seizures were included (n=21). Each included subject underwent a two-hour and 19-channel video EEG examination. Five epochs of 10-second EEG data in interictal, pre-seizure, and post-seizure states were collected from each AE patient. Five 10-second resting-state EEG epochs from sex- and age-matched HCs who reported no history of neurological or psychiatric disorders and visited the hospital for routine physical examinations were collected. Microstate analysis and source localization of microstates were performed using the LORETA KEY tool. RESULTS Compared with the resting-state EEGs of HCs, the interictal EEGs of AE patients showed a higher relative transition rate from microstates B to D (p<0.05). From interictal to pre-seizure EEG, the total time ratio of microstate C and the occurrence of microstate B decreased significantly, while the duration of microstate B increased significantly (p<0.05). Compared with pre-seizure EEGs, microstate C in post-seizure EEGs showed a significantly downregulated total time percentage and occurrence (p<0.05). The source localization of each microstate in each condition also varied and showed spatial recovery tends from pre- to post-seizure states. CONCLUSION Altered EEG microstate dynamics exist between inter-ictal EEGs of AE patients and resting-state EEGs of HCs and between pre- and post-seizure EEGs in AE patients. The EEG microstates of epileptic patients before and after absence seizures are characterized by a "slowdown" in transitions between microstates. Microstates might be used as an index to evaluate the temporal and spatial recovery process of absence seizures in AE.
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16
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Jafarian M, Modarres Mousavi SM, Rahimi S, Ghaderi Pakdel F, Lotfinia AA, Lotfinia M, Gorji A. The effect of GABAergic neurotransmission on the seizure-related activity of the laterodorsal thalamic nuclei and the somatosensory cortex in a genetic model of absence epilepsy. Brain Res 2021; 1757:147304. [PMID: 33524378 DOI: 10.1016/j.brainres.2021.147304] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 01/12/2021] [Accepted: 01/14/2021] [Indexed: 12/29/2022]
Abstract
The present study aimed to investigate the alterations of the GABAergic system in the laterodorsal nucleus (LDN) of the thalamus and the somatosensory cortex (SC) in an experimental model of absence seizure. The effects of pharmacological manipulation of both GABAA and GABAB receptor subunits in the LDN on the generation of spike-wave discharges (SWD) were evaluated. The experiments were carried out in four groups of both WAG/Rij and Wistar rats with 2 and 6 months of age. The expressions of various GABA receptor subunits were studied in the LDN and SC. Furthermore, recordings of unit activity from the LDN and electrocorticography were simultaneously monitored before, during, and after the application of GABAA and GABAB antagonists in the LDN. The generation of SWD in the older WAG/Rij rats was associated with significant alterations in the expression of GABAARα1, GABAARβ3, and GABABR2 subunits in the LDN as well as GABAARα1, GABAARβ3, GABAARγ2, and GABABR2 subunits in the SC. Furthermore, the occurrence of SWD was associated with a significant reduction of gene expression of GABAARα1 and increase of GABAARβ3 in the LDN as well as reduction of GABAARα1, GABAARβ3, GABAARγ2, and GABABR2 in the SC. The microionthophoretic application of the GABAA antagonist bicuculline resulted in a significant increase in the population firing rate of LDN neurons as well as the mean number and duration of SWD. The application of the GABAB antagonist CGP35348 significantly increased the population firing rate of LDN neurons but decreased the mean number of SWD. Our data indicate the regulatory effect of the GABAergic system of the LDN and SC in absence seizures.
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Affiliation(s)
- Maryam Jafarian
- Brain and Spinal Cord Injury Research Center, Neurosciences Institute, Tehran University of Medical Sciences, Tehran, Iran; Shefa Neuroscience Research Center, Khatam Alanbia Hospital, Tehran, Iran
| | - Sayed Mostafa Modarres Mousavi
- Shefa Neuroscience Research Center, Khatam Alanbia Hospital, Tehran, Iran; Department of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - Sadegh Rahimi
- Department of Genetics and Pharmacology, Institute of Molecular and Cellular Pharmacology, Medical University of Innsbruck, Innsbruck, Austria; Neuroscience Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Firuze Ghaderi Pakdel
- Department of Physiology, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran
| | - Ahmad Ali Lotfinia
- Shefa Neuroscience Research Center, Khatam Alanbia Hospital, Tehran, Iran
| | - Mahmoud Lotfinia
- Shefa Neuroscience Research Center, Khatam Alanbia Hospital, Tehran, Iran
| | - Ali Gorji
- Shefa Neuroscience Research Center, Khatam Alanbia Hospital, Tehran, Iran; Neuroscience Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Epilepsy Research Center, Department of Neurosurgery, Westfälische Wilhelms-Universitat Münster, Münster, Germany.
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17
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Sitnikova E, Smirnov K. Active avoidance learning in WAG/Rij rats with genetic predisposition to absence epilepsy. Brain Res Bull 2020; 165:198-208. [DOI: 10.1016/j.brainresbull.2020.10.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 09/23/2020] [Accepted: 10/05/2020] [Indexed: 11/29/2022]
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18
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Barone V, van Putten MJAM, Visser GH. Absence epilepsy: Characteristics, pathophysiology, attention impairments, and the related risk of accidents. A narrative review. Epilepsy Behav 2020; 112:107342. [PMID: 32861896 DOI: 10.1016/j.yebeh.2020.107342] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 07/10/2020] [Accepted: 07/11/2020] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Absence epilepsy (AE) is related to both cognitive and physical impairments. In this narrative review, we critically discuss the pathophysiology of AE and the impairment of attention in children and adolescents with AE. In particular, we contextualize the attentive dysfunctions of AE with the associated risks, such as accidental injuries. DATA SOURCE An extensive literature search on attention deficits and the rate of accidental injuries in AE was run. The search was conducted on Scopus, Pubmed, and the online libraries of the University of Twente and Maastricht University. Relevant references of the included articles were added. Retrospective and prospective studies, case reports, meta-analysis, and narrative reviews were included. Only studies written in English were considered. Date of last search is February 2020. The keywords used were "absence epilepsy" AND "attention"/"awareness", "absence epilepsy" AND "accidental injuries"/"accident*"/"injuries". RESULTS Ten retrospective and two prospective studies on cognition and AE were fully screened. Seventeen papers explicitly referring to attention in AE were reviewed. Just one paper was found to specifically focus on accidental injuries and AE, while twelve studies generally referring to epilepsy syndromes - among which AE - and related accidents were included. CONCLUSION Absence epilepsy and attention deficits show some patterns of pathophysiological association. This relation may account for dysfunctions in everyday activities in the pediatric population. Particular metrics, such as the risk related to biking in children with AE, should be used in future studies to address the problem in a novel way and to impact clinical indications.
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Affiliation(s)
- Valentina Barone
- Twente Medical System International B.V. (TMSi), Zutphenstraat 57, 7575EJ Oldenzaal, the Netherlands; Clinical Neurophysiology (CNPH), Technohal Univeristy of Twente, Hallenweg 5, 7522 NH, the Netherlands.
| | - Michel J A M van Putten
- Clinical Neurophysiology (CNPH), Technohal Univeristy of Twente, Hallenweg 5, 7522 NH, the Netherlands; Department of Clinical Neurophysiology, Medisch Spectrum Twente, Koningsplein 1, 7512 KZ Enschede, the Netherlands..
| | - Gerhard H Visser
- Stichting Epilepsie Instellingen Nederland (SEIN), Achterweg 2, 2103 SW Heemstede, the Netherlands.
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19
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Mross PM, Gorny I, Krause K, Biermann L, Habermehl L, Möller L, Bergmann MP, Tsalouchidou PE, Laakmann JD, Weyand AM, Menzler K, Knake S. Examination of the Flynn effect in German patients with epilepsy assessed with the Wechsler Adult Intelligence Scale (WAIS) III and IV. Epilepsy Behav 2020; 112:107337. [PMID: 32919198 DOI: 10.1016/j.yebeh.2020.107337] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 07/03/2020] [Accepted: 07/12/2020] [Indexed: 10/23/2022]
Abstract
The Flynn effect describes an increase in intelligence quotient (IQ) in the general population of about 3 points per decade. While this effect is well established in healthy individuals, research exploring the link to brain pathologies is scarce. We investigated the Flynn effect in a German sample of 203 patients with epilepsy with left, right, and bilateral lesions. Intelligence quotient values were obtained using the Wechsler Adult Intelligence Scales (WAIS) III and IV. Our results showed a stable Flynn effect with nearly no difference in adjusted full scale IQ (FSIQ) scores (0.02 IQ points) between the WAIS-III and WAIS-IV samples. There were no significant interactions between the side of pathology and corrected IQ values. Our sample showed a tendency towards performing worse in the WAIS-IV in three out of four subscales independently of the Flynn effect, pointing out methodological differences between the newer Wechsler editions. However, although patients with bilateral lesions performed worst across all subscales, they exhibited a similar pattern as patients with lesions in the left or right hemisphere, indicating that also more severe forms of brain pathologies can profit from the mechanisms behind the Flynn effect.
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20
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Schroyen G, Meylaers M, Deprez S, Blommaert J, Smeets A, Jacobs S, Sunaert S, Sleurs C, Uyttebroeck A. Prevalence of leukoencephalopathy and its potential cognitive sequelae in cancer patients. J Chemother 2020; 32:327-343. [PMID: 32799637 DOI: 10.1080/1120009x.2020.1805239] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Due to the rising use of chemotherapy treatment in cancer patients and growing survival rates, therapy-induced neurotoxic side effects are increasingly reported. Given the ambiguity about the prevalence and severity of leukoencephalopathy, one of such toxic side effects, in non-central nervous system (CNS) cancer patients, we performed a systematic literature search using the PubMed/Medline database to summarize existing literature regarding leukoencephalopathy epidemiology in non-CNS cancer patients and its potential cognitive sequelae. The search was based on the following terms: ('MRI' OR 'T2-weighted MRI' OR 'FLAIR') AND ('cancer' OR 'tumour' OR 'leukaemia' OR 'neoplasms') AND ('chemotherapy' OR 'radiotherapy') AND ('posterior reversible encephalopathy' OR 'leukoencephalopathy' OR 'cerebral ischaemia' OR 'stroke'). Thirty-two studies discussing the occurrence of leukoencephalopathy in cancer patients were included, of which the majority investigated Acute Lymphoblastic Leukaemia (ALL) patients (n = 22).Regularly scanned ALL patients showed a prevalence of leukoencephalopathy between 17 - 87%, and 15 - 83% of patients presented with leukoencephalopathy when only scanned after a CNS event. When diagnosed with posterior reversible encephalopathy syndrome, 100% of patients showed leukoencephalopathy because its diagnosis is based in part on observable lesions. An increased prevalence was observed in ALL patients treated with higher doses of methotrexate (5 g/m2 MTX, 42 - 87%) when compared to lower doses (< 5 g/m2, 32 - 67%). By contrast, in breast cancer patients, white matter lesions were mainly detected in case of neurological symptoms, but not (yet) clearly associated with chemotherapy administration. However, chemotherapy treatment was associated with more infratentorial microbleeds in breast cancer patients . Up to 50% of other (neurologically asymptomatic) solid tumour patients presented white matter lesions, even years after treatment. When cognitive data were investigated, lesioned patients showed lower scores on neurocognitive tests in 50% of studies, years after ending therapy.In conclusion, leukoencephalopathy is well-documented for ALL patients (with a focus on methotrexate), but there is a lack of knowledge for other intravenous chemotherapeutics, other oncological populations, wider age ranges and possible risk factors (e.g. history of CNS event). Furthermore, the long-term neuropsychological impact and potential risk for neurodegenerative processes due to leukoencephalopathy remains inconclusive. Hence, large international databanks, epidemiological and prospective case-control studies are necessary to stratify risk groups for CNS-related side effects.
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Affiliation(s)
- Gwen Schroyen
- Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | | | - Sabine Deprez
- Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | | | - Ann Smeets
- Department of Oncology, KU Leuven, Leuven, Belgium.,Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Sandra Jacobs
- Department of Oncology, KU Leuven, Leuven, Belgium.,Department of Pediatric Hemato-Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Stefan Sunaert
- Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.,Department of Radiology University Hospitals Leuven, Leuven, Belgium
| | - Charlotte Sleurs
- Department of Oncology, KU Leuven, Leuven, Belgium.,Department of Pediatric Hemato-Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Anne Uyttebroeck
- Department of Oncology, KU Leuven, Leuven, Belgium.,Department of Pediatric Hemato-Oncology, University Hospitals Leuven, Leuven, Belgium
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21
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Hermann B, Conant LL, Cook CJ, Hwang G, Garcia-Ramos C, Dabbs K, Nair VA, Mathis J, Bonet CNR, Allen L, Almane DN, Arkush K, Birn R, DeYoe EA, Felton E, Maganti R, Nencka A, Raghavan M, Shah U, Sosa VN, Struck AF, Ustine C, Reyes A, Kaestner E, McDonald C, Prabhakaran V, Binder JR, Meyerand ME. Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy. Neuroimage Clin 2020; 27:102341. [PMID: 32707534 PMCID: PMC7381697 DOI: 10.1016/j.nicl.2020.102341] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 06/10/2020] [Accepted: 07/03/2020] [Indexed: 01/14/2023]
Abstract
This study explored the taxonomy of cognitive impairment within temporal lobe epilepsy and characterized the sociodemographic, clinical and neurobiological correlates of identified cognitive phenotypes. 111 temporal lobe epilepsy patients and 83 controls (mean ages 33 and 39, 57% and 61% female, respectively) from the Epilepsy Connectome Project underwent neuropsychological assessment, clinical interview, and high resolution 3T structural and resting-state functional MRI. A comprehensive neuropsychological test battery was reduced to core cognitive domains (language, memory, executive, visuospatial, motor speed) which were then subjected to cluster analysis. The resulting cognitive subgroups were compared in regard to sociodemographic and clinical epilepsy characteristics as well as variations in brain structure and functional connectivity. Three cognitive subgroups were identified (intact, language/memory/executive function impairment, generalized impairment) which differed significantly, in a systematic fashion, across multiple features. The generalized impairment group was characterized by an earlier age at medication initiation (P < 0.05), fewer patient (P < 0.001) and parental years of education (P < 0.05), greater racial diversity (P < 0.05), and greater number of lifetime generalized seizures (P < 0.001). The three groups also differed in an orderly manner across total intracranial (P < 0.001) and bilateral cerebellar cortex volumes (P < 0.01), and rate of bilateral hippocampal atrophy (P < 0.014), but minimally in regional measures of cortical volume or thickness. In contrast, large-scale patterns of cortical-subcortical covariance networks revealed significant differences across groups in global and local measures of community structure and distribution of hubs. Resting-state fMRI revealed stepwise anomalies as a function of cluster membership, with the most abnormal patterns of connectivity evident in the generalized impairment group and no significant differences from controls in the cognitively intact group. Overall, the distinct underlying cognitive phenotypes of temporal lobe epilepsy harbor systematic relationships with clinical, sociodemographic and neuroimaging correlates. Cognitive phenotype variations in patient and familial education and ethnicity, with linked variations in total intracranial volume, raise the question of an early and persisting socioeconomic-status related neurodevelopmental impact, with additional contributions of clinical epilepsy factors (e.g., lifetime generalized seizures). The neuroimaging features of cognitive phenotype membership are most notable for disrupted large scale cortical-subcortical networks and patterns of functional connectivity with bilateral hippocampal and cerebellar atrophy. The cognitive taxonomy of temporal lobe epilepsy appears influenced by features that reflect the combined influence of socioeconomic, neurodevelopmental and neurobiological risk factors.
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Affiliation(s)
- Bruce Hermann
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
| | - Lisa L Conant
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Cole J Cook
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Gyujoon Hwang
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Camille Garcia-Ramos
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Kevin Dabbs
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Veena A Nair
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Jedidiah Mathis
- Department of Radiology Froedtert & Medical College of Wisconsin, Milwaukee, WI, USA
| | - Charlene N Rivera Bonet
- Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Linda Allen
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Dace N Almane
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Karina Arkush
- Neuroscience Innovation Institute, Aurora St. Luke's Medical Center, Milwaukee, WI, USA
| | - Rasmus Birn
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Edgar A DeYoe
- Department of Radiology Froedtert & Medical College of Wisconsin, Milwaukee, WI, USA; Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Elizabeth Felton
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Rama Maganti
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Andrew Nencka
- Department of Radiology Froedtert & Medical College of Wisconsin, Milwaukee, WI, USA
| | - Manoj Raghavan
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Umang Shah
- Neuroscience Innovation Institute, Aurora St. Luke's Medical Center, Milwaukee, WI, USA
| | - Veronica N Sosa
- Neuroscience Innovation Institute, Aurora St. Luke's Medical Center, Milwaukee, WI, USA
| | - Aaron F Struck
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Candida Ustine
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Anny Reyes
- Department of Psychiatry, University of California-San Diego, La Jolla, CA, USA
| | - Erik Kaestner
- Department of Psychiatry, University of California-San Diego, La Jolla, CA, USA
| | - Carrie McDonald
- Department of Psychiatry, University of California-San Diego, La Jolla, CA, USA
| | - Vivek Prabhakaran
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Jeffrey R Binder
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA; Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Mary E Meyerand
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
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22
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Roebuck AJ, An L, Marks WN, Sun N, Snutch TP, Howland JG. Cognitive Impairments in Touchscreen-based Visual Discrimination and Reversal Learning in Genetic Absence Epilepsy Rats from Strasbourg. Neuroscience 2020; 430:105-112. [DOI: 10.1016/j.neuroscience.2020.01.028] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 01/10/2020] [Accepted: 01/16/2020] [Indexed: 02/02/2023]
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