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.
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
Graham W. Johnson, Derek J. Doss, Victoria L. Morgan, Danika L. Paulo, Leon Y. Cai, Jared S. Shless, Aarushi S. Negi, Abhijeet Gummadavelli, Hakmook Kang, Shilpa B. Reddy, Robert P. Naftel, Sarah K. Bick, Shawniqua Williams Roberson, Benoit M. Dawant, Mark T. Wallace, Dario J. Englot
Summary: Why are people with epilepsy not continuously having seizures? Johnson et al. use intracranial electrical recordings to analyse brain network interactions in people with epilepsy, and provide evidence that the seizure-onset network is actively suppressed by the rest of the brain during interictal states.
Article
Clinical Neurology
Christoffer Hatlestad-Hall, Ricardo Bruna, Marte Roa Syvertsen, Aksel Erichsen, Vebjorn Andersson, Fabrizio Vecchio, Francesca Miraglia, Paolo M. Rossini, Hanna Renvall, Erik Tauboll, Fernando Maestu, Ira H. Haraldsen
Summary: This study investigated functional network alterations in focal epilepsy patients with good seizure control and high quality of life. Results showed significantly increased small world index in patients compared to controls, along with a shift towards greater alpha band hubness in two left-hemisphere regions. These findings suggest that functional network analysis could be clinically relevant for epilepsy.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Biotechnology & Applied Microbiology
Mu Shen, Lin Zhang, Yi Gong, Lei Li, Xianzeng Liu
Summary: Skewness-based functional connectivity (SFC) is proposed as an effective method for epileptic tissue localization and surgical outcome evaluation. SFC measures the amplitude distribution asymmetry between high-frequency oscillations and baseline activity, constructs a functional network based on rank correlation, and extracts connectivity strength. Significant differences (p<0.001) in connectivity strength between epileptic and non-epileptic tissue were found, and the performance of SFC was superior to low-frequency bands. The AUC for pooled and individual epileptic tissue localization was 0.66 and 0.63, respectively, and the AUC for surgical outcome classification was 0.75.
BIOENGINEERING-BASEL
(2023)
Article
Engineering, Biomedical
Erin C. Conrad, John M. Bernabei, Nishant Sinha, Nina J. Ghosn, Joel M. Stein, Russell T. Shinohara, Brian Litt
Summary: This study investigates the impact of epilepsy on intracranial EEG functional connectivity and its ability to localize the seizure onset zone (SOZ). The results show that functional connectivity is reduced in the SOZ region and interictal data can predict the localization and laterality of SOZ electrodes. However, a predictive model based solely on functional connectivity without interictal spike rates did not significantly outperform a spatial null model.
JOURNAL OF NEURAL ENGINEERING
(2022)
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
Shuai Ye, Anto Bagic, Bin He
Summary: The objective of this study is to extract pathological brain networks from interictal period of E/MEG recordings to localize epileptic foci for presurgical evaluation. We proposed here a resting state E/MEG analysis framework, to disentangle brain functional networks represented by neural oscillations. By using an Embedded Hidden Markov Model, we constructed a state space for resting state recordings consisting of brain states with different spatiotemporal patterns.
Article
Clinical Neurology
Bin Wang, Xiong Han, Shijun Yang, Pan Zhao, Mingmin Li, Zongya Zhao, Na Wang, Huan Ma, Yue Zhang, Ting Zhao, Yanan Chen, Zhe Ren, Yang Hong, Qi Wang
Summary: This study aimed to establish an integrative prediction model of AED resistance for drug-naive PWEs, and to identify the clinical and EEG factors that affect their outcomes. The model showed high accuracy, sensitivity, and specificity in predicting AED resistance, with the top EEG features impacting the SVM classifier being identified. Future evaluation of the model's utility in clinical settings is needed.
JOURNAL OF NEUROLOGY
(2022)
Article
Neurosciences
Stephan Vogel, Martin Kaltenhaeuser, Cora Kim, Nadia Mueller-Voggel, Karl Roessler, Arnd Doerfler, Stefan Schwab, Hajo Hamer, Michael Buchfelder, Stefan Rampp
Summary: This study analyzed connectivity levels in patients with epilepsy compared to controls, finding a significantly higher overall node degree in epilepsy patients. The findings suggest that node degree analysis could be a new tool for epilepsy diagnostics, with potential clinical applications.
Article
Neurosciences
Taira Uehara, Hiroshi Shigeto, Takahiko Mukaino, Jun Yokoyama, Toshiki Okadome, Ryo Yamasaki, Katsuya Ogata, Nobutaka Mukae, Ayumi Sakata, Shozo Tobimatsu, Jun-ichi Kira
Summary: This study investigated the association between epileptogenic networks and healthy subjects' functional connectivity in focal epilepsy, revealing that the rapid spread of IFA may originate from physiological networks, suggesting an overlap between epileptogenic and functional networks.
Article
Clinical Neurology
Radek Janca, Alena Jahodova, Jaroslav Hlinka, Petr Jezdik, Lenka Svobodova, Martin Kudr, Adam Kalina, Petr Marusic, Pavel Krsek, Premysl Jiruska
Summary: This study identified critical components of the epileptic network involved in seizure genesis in patients with focal cortical dysplasia (FCD). Analysis of intracranial EEG recordings revealed a seizure-related network reconfiguration in the gamma-band, with resection of ictogenic nodes correlating with favorable outcomes. The accurate identification and distinction of ictogenic areas using gamma-band markers can improve intracranial EEG interpretation in FCD-related epilepsy.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Clinical Neurology
Lingli Hu, Kai Xiong, Lingqi Ye, Yuyu Yang, Cong Chen, Shan Wang, Yao Ding, Zhongjin Wang, Wenjie Ming, Zhe Zheng, Hongjie Jiang, Hong Li, Junming Zhu, Cenglin Xu, Yi Wang, Meiping Ding, Zhong Chen, Yingcai Wu, Shuang Wang
Summary: This study investigated alterations in functional connectivity and EEG power during ictal onset patterns of low-voltage fast activity (LVFA) in drug-resistant focal epilepsy. The findings suggest that EEG desynchronization, measured by h2 analysis, can be helpful in identifying patients with favorable surgical outcomes. These findings may also potentially improve epileptogenic zone identification in the future.
JOURNAL OF NEUROSURGERY
(2023)
Article
Physics, Fluids & Plasmas
Chen Wang, Sida Chen, Liang Huang, Lianchun Yu
Summary: The study demonstrates the impact of heterogeneity in nodal excitability on seizure propagation in the brain and presents an algorithm based on random walk to address this issue. The algorithm significantly improves the accuracy of seizure spread prediction and achieves surgical seizure control with minimal damage.
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
Justin M. Campbell, Bornali Kundu, James N. Lee, Michelle Miranda, Amir Arain, Philipp Taussky, Ramesh Grandhi, John D. Rolston
Summary: This study evaluated the accuracy of task-based fMRI compared to Wada testing for language lateralization in patients with drug-resistant epilepsy. The findings suggest that fMRI is generally a precise and low-risk alternative to Wada testing. However, patients with atypical language lateralization may benefit from subsequent Wada testing or intraoperative language mapping.
INTERVENTIONAL NEURORADIOLOGY
(2023)
Article
Clinical Neurology
Graham W. Johnson, Derek J. Doss, Victoria L. Morgan, Danika L. Paulo, Leon Y. Cai, Jared S. Shless, Aarushi S. Negi, Abhijeet Gummadavelli, Hakmook Kang, Shilpa B. Reddy, Robert P. Naftel, Sarah K. Bick, Shawniqua Williams Roberson, Benoit M. Dawant, Mark T. Wallace, Dario J. Englot
Summary: Why are people with epilepsy not continuously having seizures? Johnson et al. use intracranial electrical recordings to analyse brain network interactions in people with epilepsy, and provide evidence that the seizure-onset network is actively suppressed by the rest of the brain during interictal states.
Article
Biology
Yue Liu, Shunxing Bao, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu
Summary: This paper proposes a novel particle method for establishing dense shape correspondence between pre- and post-surgical surfaces in temporal lobe resection. The method can handle partial structural abnormality involving non-rigid changes. Unlike existing particle methods, explicit particle adjacency is considered to establish a smooth correspondence. Moreover, hierarchical optimization of particles is proposed to avoid the trappings of locally optimal particle update.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Neurosciences
Shengchao Zhang, Sarah E. Goodale, Benjamin P. Gold, Victoria L. Morgan, Dario J. Englot, Catie Chang
Summary: Patterns in fMRI data can reflect dynamic changes in the brain and are related to individual and group differences in behavior, cognition, and clinical traits. Detecting vigilance states in fMRI data without external measurements is challenging. This study shows that vigilance levels can be detected in the low-dimensional structure of fMRI data, even within individual time frames.
Editorial Material
Clinical Neurology
Dario J. Englot
Summary: Approximately one in five patients with newly diagnosed focal epilepsy may have an MRI finding that is likely causative and may alter treatment options, while an additional one in five patients may have abnormalities of unknown significance. This information is crucial for patient counseling, prognosis, and management.
Article
Clinical Neurology
Bornali Kundu, Chantel M. Charlebois, Daria Nesterovich Anderson, Angela Peters, John D. Rolston
Summary: We observed a phenomenon of electrical running down and a consistent spectral change in interictal ECoG of a patient with drug-resistant epilepsy after surgery. The patient remained seizure-free for 2.5 years without the need for neurostimulation. There was a decrease in epileptiform electrographic detections and a gradual decrease in the aperiodic exponent of the power spectrum over time.
Editorial Material
Clinical Neurology
Dario J. Englot
Summary: Loss of consciousness is a significant feature of epileptic seizures and can lead to serious consequences. This study compared brain activities during focal impaired awareness and focal to bilateral tonic-clonic seizures, revealing differences in the mechanisms of loss of consciousness. These findings have important implications for clinical outcomes and neuromodulation therapies.
Editorial Material
Clinical Neurology
Dario J. Englot
Summary: This study aimed to evaluate the prevalence and risk factors for pharmacoresistance in pediatric FCD-related epilepsy. The results showed that failure of only one antiseizure medication is significantly associated with the risk of pharmacoresistance. These data support an operational re-definition of pharmacoresistance for surgical planning and indicate the potential benefits of early, curative surgery to improve outcomes in patients with FCD-related epilepsy.
Article
Cell Biology
Aditya Nanda, Graham W. Johnson, Yu Mu, Misha B. Ahrens, Catie Chang, Dario J. Englot, Michael Breakspear, Mikail Rubinov
Summary: Much of systems neuroscience explores the significance of scale-free brain activity patterns, which lack natural scales. This study reconciles different explanations for scale-free activity across species and modalities, by linking estimates of excitation-inhibition balance with time-resolved correlation of brain activity. The results provide a simpler understanding of scale-free brain activity and establish strict tests for future theories.
Article
Clinical Neurology
D. J. Doss, G. W. Johnson, S. Narasimhan, J. S. Shless, J. W. Jiang, H. F. J. Gonzaez, D. L. Paulo, A. Lucas, K. A. Davis, C. Chang, V. L. Morgan, C. Constantinidis, B. M. Dawant, D. J. Englot
Summary: This study developed a deep learning network for automatic and accurate patient-specific segmentation of the nucleus basalis of Meynert on 3T MR imaging. The model showed improved segmentation results compared to the standard probabilistic atlas and decreased centroid distance in patients.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2023)
Article
Clinical Neurology
Danika L. Paulo, Graham W. Johnson, Derek J. Doss, Jackson H. Allen, Hernan F. J. Gonzalez, Robert Shults, Rui Li, Tyler J. Ball, Sarah K. Bick, Travis J. Hassell, Pierre-Francois D'Haese, Peter E. Konrad, Benoit M. Dawant, Saramati Narasimhan, Dario J. Englot
Summary: This study aims to demonstrate the value of intraoperative neurophysiological testing paired with image-based data in optimizing final electrode positioning in deep brain stimulation surgery. The results show that this approach can lead to improved patient outcomes.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2023)
Meeting Abstract
Clinical Neurology
Derek Doss, Graham Walter Johnson, Saramati Narasimhan, Jasmine Jiang, Hernan F. J. Gonzalez, Danika Lea Paulo, Catie Chang, Victoria Morgan, Christos Constantinidis, Benoit M. Dawant, Dario J. Englot
Meeting Abstract
Clinical Neurology
Graham Walter Johnson, Derek Doss, Jared Shless, Danika Lea Paulo, Victoria Morgan, Sarah K. B. Bick, Dario J. Englot
Meeting Abstract
Clinical Neurology
Danika Lea Paulo, Helen Qian, Deeptha Subramanian, Graham Walter Johnson, Sarah K. B. Bick
Article
Neurosciences
Melissa M. J. Chua, Aaron E. L. Warren, G. Rees Cosgrove, John D. Rolston
Summary: This study examines the characteristics of deep brain stimulation (DBS) and responsive neurostimulation (RNS) trials from 1997 to 2022, as well as the frequency and completeness of results reporting. The results show that over one-third of trials remain unpublished >1 year after completion, pediatric trials are scarce, most of the thalamus remains unexplored, about one-in-five trials fail to report stimulation parameters, and movement disorders comprise the most studied indications.
STEREOTACTIC AND FUNCTIONAL NEUROSURGERY
(2023)
