Article
Clinical Neurology
John M. Bernabei, Adam Li, Andrew Y. Revell, Rachel J. Smith, Kristin M. Gunnarsdottir, Ian Z. Ong, Kathryn A. Davis, Nishant Sinha, Sridevi Sarma, Brian Litt
Summary: In the past decade, there has been a growing interest in quantitative methods to guide epilepsy surgery using intracranial EEG. However, many of these methods lack generalization to new data and are sensitive to variations in pathology and electrode placement. This review highlights the challenges in translating these methods to clinical practice and proposes potential solutions, including the release of a new dataset with over 100 patients to support larger and more rigorous studies. A roadmap is provided to help these tools reach clinical trials and improve the lives of future patients.
Article
Clinical Neurology
John M. Bernabei, Nishant Sinha, T. Campbell Arnold, Erin Conrad, Ian Ong, Akash R. Pattnaik, Joel M. Stein, Russell T. Shinohara, Timothy H. Lucas, Dani S. Bassett, Kathryn A. Davis, Brian Litt
Summary: Bernabei et al. constructed an atlas of normative interictal intracranial EEG recordings and found that brain regions generating spikes and seizures have different patterns of activity and connectivity compared to the atlas. Comparing EEG recordings to the atlas can reliably identify abnormal regions and guide invasive treatment for epilepsy.
Article
Clinical Neurology
Nino Epitashvili, Victoria San Antonio-Arce, Armin Brandt, Andreas Schulze-Bonhage
Summary: By analyzing 33 patients, it was found that scalp small sharp spikes (SSS) have cortical correlates with intracranial discharges, and intrahippocampal spikes or polyspikes occur concurrently with SSS. Additionally, in 45% of cases, intracranial spikes accompanying SSS were located within the seizure onset zone.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Clinical Neurology
Yujiang Wang, Gabrielle M. Schroeder, Jonathan J. Horsley, Mariella Panagiotopoulou, Fahmida A. Chowdhury, Beate Diehl, John S. Duncan, Andrew W. McEvoy, Anna Miserocchi, Jane de Tisi, Peter N. Taylor
Summary: Comparing patient data to a normative map has shown promise in identifying abnormalities on interictal intracranial electroencephalogram (iEEG) for localization of epileptogenic tissue and outcome prediction. However, the temporal stability of these findings has not been established.
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
Neurosciences
Zhihao Guo, Jianguo Zhang, Wenhan Hu, Xiu Wang, Baotian Zhao, Kai Zhang, Chao Zhang
Summary: This study aims to investigate whether seizures exhibit propagation patterns that align with intrinsic networks (INs). Through quantitative analysis and network connection maps, the study found that seizures propagate more significantly within networks and exhibit different propagation characteristics between distinct networks.
NEUROBIOLOGY OF DISEASE
(2023)
Article
Clinical Neurology
Peter N. Taylor, Christoforos A. Papasavvas, Thomas W. Owen, Gabrielle M. Schroeder, Frances E. Hutchings, Fahmida A. Chowdhury, Beate Diehl, John S. Duncan, Andrew W. McEvoy, Anna Miserocchi, Jane de Tisi, Sjoerd B. Vos, Matthew C. Walker, Yujiang Wang
Summary: This study investigates the detection of interictal abnormalities in intracranial EEG by constructing a normative map of brain dynamics and quantitatively accounting for the range of healthy brain dynamics. The study finds that regions spared by surgery are more abnormal than resected regions, which can differentiate patient outcomes.
Article
Clinical Neurology
Michael Mueller, Martijn Dekkers, Roland Wiest, Kaspar Schindler, Christian Rummel
Summary: The study investigated the correspondence between epileptiform events and a specific quantitative EEG marker. It found that the quantitative EEG marker predicted the resected brain tissue better in patients with temporal lobe epilepsy and favorable outcome, but showed no significant associations with other epileptiform events.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Jonathan K. Kleen, Benjamin A. Speidel, Maxime O. Baud, Vikram R. Rao, Simon G. Ammanuel, Liberty S. Hamilton, Edward F. Chang, Robert C. Knowlton
Summary: This study introduces a new approach to translate intracranial EEG recordings of seizure activity into 3D videos, aiding medical professionals in better understanding the location and spread of epileptic foci with high accuracy. The method can be applied in patients with medically refractory epilepsy, serving as a valuable tool for surgical planning.
Review
Neurosciences
Stanislas Lagarde, Christian-G Benar, Fabrice Wendling, Fabrice Bartolomei
Summary: This article reviews the concept of the epileptogenic network, explains the basic notions of functional connectivity, and reports the current body of published data using intracranial EEG. The data show that there are differential changes in functional connectivity between epileptic and non-epileptic areas even at temporal distance from seizures. These findings may help locate epileptic areas and predict surgical outcomes.
BRAIN CONNECTIVITY
(2022)
Article
Clinical Neurology
Elakkat D. Gireesh, Kihyeong Lee, Holly Skinner, Joohee Seo, Po-Ching Chen, Michael Westerveld, Richard D. Beegle, Eduardo Castillo, James Baumgartner
Summary: This study aimed to evaluate the success rate and complications of using sEEG and LITT for treating nonlesional refractory epilepsy in the cingulate and insular cortex. The results showed that both methods were safe and effective for treating this type of epilepsy.
JOURNAL OF NEUROSURGERY
(2021)
Article
Chemistry, Multidisciplinary
Marcin Kolodziej, Andrzej Majkowski, Andrzej Rysz
Summary: This article explores the possibilities, issues, and challenges associated with utilizing artificial intelligence for seizure detection using the publicly available iEEG database. It presents standard approaches for analyzing iEEG signals and discusses modern deep learning algorithms. The study shows that CNN and LSTM networks yield significantly better results, and the gradient-weighted class activation mapping algorithm can identify important iEEG signal fragments for seizure detection.
APPLIED SCIENCES-BASEL
(2023)
Article
Clinical Neurology
Steven Pacia, Werner K. Doyle, Daniel Friedman, Daniel H. Bacher, Ruben Kuzniecky
Summary: Subgaleal EEG is a minimally invasive and accurate method for long-term seizure monitoring, reliably identifying different types of seizures.
JOURNAL OF CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Clinical Neurology
Behnaz Esmaeili, Daniel Weisholtz, Steven Tobochnik, Barbara Dworetzky, Daniel Friedman, Farhad Kaffashi, Sydney Cash, Brannon Cha, Juliana Laze, Dustine Reich, Pue Farooque, Taha Gholipour, Michael Singleton, Kenneth Loparo, Mohamad Koubeissi, Orrin Devinsky, Jong Woo Lee
Summary: The association between postictal electroencephalogram (EEG) suppression (PES), autonomic dysfunction, and Sudden Unexpected Death in Epilepsy (SUDEP) is not well understood. This study compared PES on intracranial and scalp-EEG and evaluated its association with postictal heart rate variability (HRV) and SUDEP outcome. The findings suggest that intracranial-EEG can demonstrate changes in autonomic regulatory networks not seen on scalp-EEG.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Pablo Delgado-Bonet, Beatriz Davinia Tomeo-Martin, Blanca Delgado-Bonet, David Sardon-Ruiz, Angel Torrado-Carvajal, Isidro Mateo, Ana Judith Perise-Barrios
Summary: This study investigates the use of oncolytic virus ICOCAV15 as an adjuvant treatment for incomplete tumor resection in canine intracranial hemangioma. The results show that the treatment has no side effects and leads to a decrease in tumor volume as measured by magnetic resonance imaging. The patient has a longer survival time and an increased number of infiltrated immune cells in the tumor, suggesting that ICOCAV15 could be a safe and effective treatment for canine hemangiomas.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
