Article
Medicine, General & Internal
Jiajie Mo, Jianguo Zhang, Wenhan Hu, Lin Sang, Xiaoqiu Shao, Chao Zhang, Kai Zhang
Summary: This study investigated the metabolic and electrophysiological characteristics of temporal lobe LEAT epileptic network using PET and SEEG techniques. Patients with temporal lobe LEAT showed a more widespread epileptic network compared to controls, with significant differences in metabolic patterns.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Clinical Neurology
Mickael Ferrand, Cedric Baumann, Olivier Aron, Jean-Pierre Vignal, Jacques Jonas, Louise Tyvaert, Sophie Colnat-Coulbois, Laurent Koessler, Louis Maillard
Summary: In this study, 6 different seizure patterns were identified based on the first abnormality on scalp EEG. However, none of these patterns were specific to a single intracerebral localization, indicating that scalp EEG alone may not accurately predict the onset location of seizures.
Article
Clinical Neurology
Harilal Parasuram, Siby Gopinath, Ashok Pillai, Shyam Diwakar, Anand Kumar
Summary: The study proposes a method called Epileptogenicity Rank (ER) based on Stereo EEG (SEEG) for precise localization of the epileptogenic zone. The ER successfully differentiated brain regions involved in seizure onset and optimized the localization threshold for neocortical and mesial temporal lobe epilepsy, showing high sensitivity and specificity.
FRONTIERS IN NEUROLOGY
(2021)
Review
Clinical Neurology
Ruba R. Al-Ramadhani, Veeresh Kumar N. Shivamurthy, Kathryn Elkins, Satyanarayana Gedela, Nigel P. Pedersen, Ammar Kheder
Summary: This review discusses the functional anatomy of the precuneal cortex and outlines some semiological features of precuneal seizures, hypothesizing potential seizure semiologies based on its complex integrative functions and connectivity as elucidated by various studies. Seizures associated with the precuneal cortex may involve simple or complex motor or sensory manifestations, with comparisons made to existing literature in the form of case reports or case series.
EPILEPTIC DISORDERS
(2021)
Article
Clinical Neurology
Shaohui Zhang, Yangshuo Wang, Chunxiu Liu, Liu Yuan, Feng Zhai, Tinghong Liu, Shuli Liang
Summary: This study investigated the effects of current conduction on reducing focal epileptogenicity in patients with temporal lobe epilepsy (TLE). The results showed that after current conduction, there were decreases in spike rates, ripple rates, and fast ripple rates in various brain regions of the patients, as well as a decrease in epileptogenicity index.
NEUROLOGICAL SCIENCES
(2022)
Article
Clinical Neurology
Vasileios Kokkinos, Helweh Hussein, Birgit Frauscher, Mirela Simon, Alexandra Urban, Alan Bush, Anto I. Bagic, R. Mark Richardson
Summary: The study evaluated whether hippocampal spindles and barques are markers of epileptogenicity in epilepsy patients. The results show that both spindles and barques are normal entities in the hippocampal intracranial electroencephalogram and do not indicate epileptogenic properties. Understanding this is crucial for the correct interpretation of epilepsy surgery evaluations and the selection of appropriate surgical treatments.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Clinical Neurology
Camelia Lentoiu, Irina Oane, Andrei Barborica, Cristian Donos, Constantin Pistol, Andrei Daneasa, Flavius Bratu, Ioana Mindruta
Summary: This study highlights the brain structures and networks involved in ictal grimacing in parietal lobe epilepsy. Two patients with drug-resistant epilepsy and ictal grimacing were analyzed using intracranial electrodes. The results showed that different networks were responsible for different facial expressions, such as disgust and smiling/laughter.
EPILEPTIC DISORDERS
(2022)
Article
Medicine, General & Internal
Xi Zhang, Guojun Zhang, Tao Yu, Cuiping Xu, Jin Zhu, Xiaoming Yan, Kai Ma, Runshi Gao
Summary: This study analyzed the surgical outcomes of patients with temporal lobe epilepsy (TLE) who underwent temporal and insular SEEG recordings. The findings suggest that insular involvement may be associated with failed anterior temporal lobectomy (ATL) and poorer seizure outcomes. The study also identified temporal-insular spreading time (TIST) as an independent predictor of postoperative seizure-free outcomes in these patients.
Review
Clinical Neurology
Nadim Jaafar, Amar Bhatt, Alexandra Eid, Mohamad Z. Koubeissi
Summary: Some surgical failures after temporal lobe epilepsy surgery may be caused by the presence of extratemporal epileptogenic zones, particularly in the medial parietal lobe. Seizures originating from this area may not cause obvious symptoms before spreading to the temporal lobe.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Saramati Narasimhan, Hernan F. J. Gonzalez, Graham W. Johnson, Kristin E. Wills, Danika L. Paulo, Victoria L. Morgan, Dario J. Englot
Summary: Evaluating fMRI connectivity between mesial temporal structures and default mode network may aid in lateralization of mesial temporal lobe epilepsy, reduce the need for intracranial monitoring, and guide surgical planning.
JOURNAL OF NEUROSURGERY
(2022)
Article
Clinical Neurology
Aileen McGonigal
Summary: Frontal lobe seizures are debilitating and diverse, making them challenging to evaluate. Research has shown that motor symptoms reflect the hierarchical organization of the frontal lobe, aiding in presurgical localization. Distinguishing between different frontal sublobar regions is possible based on motor and emotional signs. The semiology of frontal lobe seizures also provides valuable in vivo human behavioral data for neuroscience.
JOURNAL OF NEUROLOGY
(2022)
Article
Clinical Neurology
Xianyue Liu, Yinchao Li, Xiaonan Li, Shuda Chen, Lisen Sui, Zhengwei Su, Liming Cheng, Ke Zhao, Man Yang, Huanling Lai, Yue Xing, Yue Gui, Jiaoyang Wang, Xiaofeng Yang, Liemin Zhou
Summary: This study aims to determine the utility of automatically detected ripple rate (ADRR) of 10-min scalp EEG during slow-wave sleep in rapid epilepsy differentiation and seizure activity assessment. The results demonstrate that ADRR can rapidly and accurately differentiate epilepsy and evaluate seizure activity, especially in young patients.
Article
Clinical Neurology
Auriana Irannejad, Ganne Chaitanya, Emilia Toth, Diana Pizarro, Sandipan Pati
Summary: Accurate mapping of the seizure onset zone (SOZ) is critical to the success of epilepsy surgery outcomes. In this study, we evaluated the effectiveness of using direct cortical stimulation (DCS) to identify seizure generators in high epileptogenicity index (EI) nodes. The results showed that only 44.5% of high EI nodes evoked habitual seizures, with a significantly higher response rate in the low amplitude fast activity (LAFA) onset pattern.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Xiaotong Liu, Fang Han, Rui Fu, Qingyun Wang, Guoming Luan
Summary: This study analyzed EEG data of epilepsy patients to explore the relationship between frequency oscillations, brain function, and epileptic seizures. It found coupling between different frequencies during seizures, and highlighted the significance of cross-frequency coupling in epilepsy networks and EZ localization. This research sheds light on the role of rhythmic coupling in understanding the functional network and seizure status of epilepsy.
FRONTIERS IN NEUROLOGY
(2021)
Article
Engineering, Biomedical
Jiajie Mo, Jianguo Zhang, Wenhan Hu, Xiaoqiu Shao, Lin Sang, Zhong Zheng, Chao Zhang, Yao Wang, Xiu Wang, Chang Liu, Baotian Zhao, Kai Zhang
Summary: This study investigated the neuroimaging gradient alterations and epileptogenicity of FCD IIIa, along with their potential values in guiding suitable resection range and predicting postoperative seizure outcomes. The conclusions from this study may facilitate an accurate presurgical examination of FCD IIIa. However, further investigation including a larger cohort is necessary to confirm the results.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Hanna Becker, Julien Fleureau, Philippe Guillotel, Fabrice Wendling, Isabelle Merlet, Laurent Albera
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2020)
Article
Clinical Neurology
Mathieu Kuchenbuch, Pascal Benquet, Anna Kaminska, Agathe Roubertie, Emilie Carme, Anne de Saint Martin, Edouard Hirsch, Fanny Dubois, Cecile Laroche, Giulia Barcia, Nicole Chemaly, Matthieu Milh, Nathalie Villeneuve, Paul Sauleau, Julien Modolo, Fabrice Wendling, Rima Nabbout
Article
Engineering, Biomedical
Maxime Yochum, Julien Modolo, David J. Mogul, Pascal Benquet, Fabrice Wendling
JOURNAL OF NEURAL ENGINEERING
(2019)
Article
Engineering, Biomedical
Andres Carvallo, Julien Modolo, Pascal Benquet, Stanislas Lagarde, Fabrice Bartolomei, Fabrice Wendling
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2019)
Article
Neurosciences
Jian Li, Olesya Grinenko, John C. Mosher, Jorge Gonzalez-Martinez, Richard M. Leahy, Patrick Chauvel
HUMAN BRAIN MAPPING
(2020)
Article
Clinical Neurology
Estelle Rikir, Louis G. Maillard, Chifaou Abdallah, Martine Gavaret, Fabrice Bartolomei, Jean-Pierre Vignal, Sophie Colnat-Coulbois, Laurent Koessler
Article
Mathematical & Computational Biology
Yves Denoyer, Isabelle Merlet, Fabrice Wendling, Pascal Benquet
JOURNAL OF COMPUTATIONAL NEUROSCIENCE
(2020)
Article
Clinical Neurology
Mathieu Kuchenbuch, Rima Nabbout, Maxime Yochum, Paul Sauleau, Julien Modolo, Fabrice Wendling, Pascal Benquet
Summary: This study investigates the impact of gain of function of slack channel due to a KCNT1 pathogenic variant on abnormal neuronal cortical network activity and specific EEG patterns of epilepsy in infancy. The results show that the pathogenic variants of KCNT1 decrease firing rate properties of certain neurons, leading to hyperexcitability and synchronization in the cortical micronetwork, ultimately causing epilepsy with migrating focal seizures. The multiscale approach used in this study provides a framework for identifying potential innovative therapies based on biomathematical models.
Article
Clinical Neurology
Sahar Allouch, Maxime Yochum, Aya Kabbara, Joan Duprez, Mohamad Khalil, Fabrice Wendling, Mahmoud Hassan, Julien Modolo
Summary: Understanding brain-scale functional networks through EEG source connectivity is crucial for neuroscience research. A recently developed model named COALIA provides realistic simulations for analyzing cortical networks. High electrode density and specific algorithms for solving inverse problems, along with functional connectivity measures, have shown promising results for accurately estimating cortical networks in the context of epileptiform activity.
Review
Clinical Neurology
Aileen McGonigal, Fabrice Bartolomei, Patrick Chauvel
Summary: The clinical expression of seizures is a significant symptomatic burden of epilepsy, but the neural mechanisms underlying complex behaviors are still poorly understood. Viewing epilepsy as a network where semiology is dynamically produced by interconnected structures may play a crucial role in clinical expression. Despite methodological challenges, understanding semiology is key for improving epilepsy classification systems and potentially contributing to therapeutic innovations.
Article
Engineering, Biomedical
Borja Mercadal, Ricardo Salvador, Maria Chiara Biagi, Fabrice Bartolomei, Fabrice Wendling, Giulio Ruffini
Summary: This study examines the impact of metal implants on electrical stimulation techniques and provides a theoretical argument for choosing the correct representation of metal implants in electrical models. The results demonstrate that metal implants exhibit different behaviors under different electric fields, and using an incorrect model for metal implants can lead to significant errors in dosimetry assessment. Therefore, selecting the appropriate model is crucial in each scenario.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Borja Mercadal, Edmundo Lopez-Sola, Adria Galan-Gadea, Mariam Al Harrach, Roser Sanchez-Todo, Ricardo Salvador, Fabrice Bartolomei, Fabrice Wendling, Giulio Ruffini
Summary: This study proposes a framework for combining multi-compartment modeling and a detailed geometrical model to simulate transmembrane currents in cortical neurons. Based on this framework, they connect neural mass models with a volume conductor model and simulate an example of SEEG signal. The results highlight the importance of including a physical model in neural mass models to improve the accuracy of predicted electrophysiological recordings.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fabiola Alonso, Borja Mercadal, Ricardo Salvador, Giulio Ruffini, Fabrice Bartolomei, Fabrice Wendling, Julien Modolo
Summary: Intracranial electrodes are used clinically for various purposes, such as drug-refractory epilepsy. However, quantifying the electric fields induced by electrical stimulation is challenging due to various factors. This study aimed to evaluate different biophysical models for characterizing the electric fields in patients undergoing pre-surgical evaluation. The results provide insights into developing accurate patient-specific models for neuromodulation and neurostimulation procedures.
BIOMEDICAL PHYSICS & ENGINEERING EXPRESS
(2023)
Article
Biochemical Research Methods
Elif Koksal Ersoz, Julien Modolo, Fabrice Bartolomei, Fabrice Wendling
PLOS COMPUTATIONAL BIOLOGY
(2020)
Review
Neurosciences
Julien Modolo, Mahmoud Hassan, Fabrice Wendling, Pascal Benquet
NETWORK NEUROSCIENCE
(2020)