Article
Clinical Neurology
Kristin M. Gunnarsdottir, Adam Li, Rachel J. Smith, Joon-Yi Kang, Anna Korzeniewska, Nathan E. Crone, Adam G. Rouse, Jennifer J. Cheng, Michael J. Kinsman, Patrick Landazuri, Utku Uysal, Carol M. Ulloa, Nathaniel Cameron, Iahn Cajigas, Jonathan Jagid, Andres Kanner, Turki Elarjani, Manuel Melo Bicchi, Sara Inati, Kareem A. Zaghloul, Varina L. Boerwinkle, Sarah Wyckoff, Niravkumar Barot, Jorge Gonzalez-Martinez, Sridevi Sarma
Summary: There are over 15 million epilepsy patients worldwide, many of whom have drug-resistant epilepsy. Surgical treatment is often successful, but the success rate varies due to the lack of validated biological markers of the epileptogenic zone. This study aimed to develop a new network-based interictal iEEG marker of the epileptogenic zone by analyzing interictal iEEG data. The algorithm developed in this study showed promising accuracy in identifying epileptogenic regions and predicting surgical outcomes, outperforming clinicians' predictions.
Article
Clinical Neurology
David Satzer, Yasar T. Esengul, Peter C. Warnke, Naoum P. Issa, Douglas R. Nordli
Summary: SEEG-based interictal source localization accurately represents epileptiform discharges and can distinguish between seizure-free and non-seizure-free patients. Additional techniques are needed to localize far-field epileptiform activity from non-implanted brain regions.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Joshua M. Diamond, C. Price Withers, Julio Chapeton, Shareena Rahman, Sara K. Inati, Kareem A. Zaghloul
Summary: This study shows that both ictal discharges and interictal epileptiform discharges (IEDs) are traveling waves emerging from common epileptogenic brain regions. The timing and spatial distribution of IEDs are consistent with the receipt of ictal discharges, indicating that both types of discharges spread as traveling waves. The presence and localization of IEDs may provide valuable information for seizure source localization.
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
Biochemical Research Methods
Audrey Laurence, Denahin H. Toffa, Ke Peng, Manon Robert, Alain Bouthillier, Dang K. Nguyen, Frederic Leblond
Summary: This study evaluated the possibility of using an intraoperative multispectral imaging system combined with electrocorticography (ECoG) to measure the average hemodynamic response function (HRF) associated with interictal epileptiform discharges (IEDs) in patients with epilepsy. The study found inter-patient variability of the HRF and identified a sub-region that corresponded to the most active area identified by ECoG.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Neurosciences
Rui Sun, Wenbo Zhang, Anto Bagic, Bin He
Summary: Electromagnetic source imaging (ESI) offers unique capability of imaging brain dynamics and aiding the clinical management of brain disorders. By combining generative models and deep learning, more accurate and realistic source modeling can be achieved, providing an alternative approach to ESI beyond equivalent physical source models.
Article
Clinical Neurology
Zhensheng Li, Che Jiang, Quwen Gao, Wei Xiang, Zijuan Qi, Kairun Peng, Jian Lin, Wei Wang, Bingmei Deng, Weimin Wang
Summary: The objective of this study was to explore the relation between interictal epileptiform discharge (IED) source connectivity and cortical structural couplings (SCs) in temporal lobe epilepsy (TLE). High-resolution MRI and EEG data were collected from 59 patients with TLE. The results showed that cortical SCs were negatively related to IED source connectivity in patients with TLE. These findings suggest the important role of intervening IEDs in treating TLE.
FRONTIERS IN NEUROLOGY
(2023)
Article
Clinical Neurology
Graham A. McLeod, Parandoush Abbasian, Darion Toutant, Amirhossein Ghassemi, Tyler Duke, Conrad Rycyk, Demitre Serletis, Zahra Moussavi, Marcus C. Ng
Summary: This study compared epileptic source localizations from different sleep-wake states and found that REM sleep is best suited for identifying potential epileptic sources.
Article
Neurosciences
Su Shu, Shen Luo, Miao Cao, Ke Xu, Lang Qin, Li Zheng, Jing Xu, Xiongfei Wang, Jia-Hong Gao
Summary: Combining SEEG with MEG or EEG can improve the accurate localization of interictal spikes in epilepsy surgery, leading to better presurgical evaluation of the epileptogenic zone.
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
Yurika Numata-Uematsu, Mitsugu Uematsu, Rie Sakuraba, Masaki Iwasaki, Shinichiro Osawa, Kazutaka Jin, Nobukazu Nakasato, Shigeo Kure
Summary: The study found that determining the onset area of interictal spike-related ripples could facilitate estimation of the epileptogenic zone, leading to better surgical outcomes. This simple method utilizing interictal ECoG may aid in preoperative evaluation and improve epilepsy surgery outcomes.
FRONTIERS IN NEUROLOGY
(2021)
Article
Clinical Neurology
Rui Li, Chris Plummer, Simon J. Vogrin, William P. Woods, Levin Kuhlmann, Ray Boston, David T. J. Liley, Mark J. Cook, David B. Grayden
Summary: A study aimed at localizing epileptic foci through automated methods showed success in localizing spikes in 12 out of 13 epilepsy surgery patients. The research demonstrates good performance of automated beamforming in predicting postoperative seizure freedom for patients.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Clinical Neurology
Cong Chen, Yunling Wang, Lingqi Ye, Jiahui Xu, Wenjie Ming, Xiaochen Liu, Lingli Hu, Hongyi Ye, Cenglin Xu, Yi Wang, Zhongjing Wang, Yao Ding, Junming Zhu, Meiping Ding, Zhong Chen, Shuang Wang
Summary: Sleep strongly activates interictal epileptic activity through an unclear mechanism. Scalp sleep slow waves (SSWs) modulate interictal epileptic events in focal epilepsy by regulating neuronal excitability. The distribution and modulation of intracranial spikes and ripples by SSWs vary depending on the seizure-onset zone and epileptogenicity.
Article
Chemistry, Analytical
Xiaoxuan Fu, Youhua Wang, Abdelkader Nasreddine Belkacem, Yingxin Cao, Hao Cheng, Xiaohu Zhao, Shenghua Chen, Chao Chen
Summary: This paper investigates the loss of theta rhythm during epileptogenesis, specifically focusing on the impact of interictal spikes. The study found that the loss of theta rhythm was more severe during the period between interictal spikes, and the acute stage of epileptogenesis showed more loss compared to the chronic stage. The findings suggest that interictal spikes could potentially serve as a biomarker for evaluating deficits in theta-related memory.
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
Multidisciplinary Sciences
Kai Yu, Xiaodan Niu, Esther Krook-Magnuson, Bin He
Summary: Transcranial focused ultrasound (tFUS) can selectively target excitatory and inhibitory neurons in the brain, showing promise as a non-invasive neuromodulation technique with high spatial specificity. The study reveals the differences in response of different neuron types to tFUS, suggesting the potential for targeted neuromodulation without invasive procedures.
NATURE COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
James R. Stieger, Stephen A. Engel, Bin He
Summary: BCIs are valuable tools for communication by decoding motor imagination from EEG. This study released a large dataset from 62 healthy adults to study how individuals learn to control SMR-based BCIs, providing a resource for developing improved algorithms for BCI control.
Article
Engineering, Biomedical
James R. Stieger, Stephen A. Engel, Daniel Suma, Bin He
Summary: This study demonstrates the significant improvement of BCI offline performance through deep learning methods on an independent online motor imagery BCI dataset. The results show that various neural biomarkers, including those outside the motor cortex, can be detected and utilized to enhance performance through deep learning techniques. Additionally, tuning neural network output is crucial for optimizing online BCI control, and electrode montage selection and mapping CNN output to device control are important design choices in CNN-based BCIs.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Neurosciences
Xiaoli Guo, Meiyun Wang, Xu Wang, Menglin Guo, Ting Xue, Zhuo Wang, Han Li, Tianjiao Xu, Bin He, Donghong Cui, Shanbao Tong
Summary: This study recruited a group of monks who practice Tibetan Buddhist meditation and compared them with meditation-naive local controls. Their EEG and ECG signals were recorded, and blood samples were collected to investigate the integrative effects of meditation on brain, heart, and proteomics. The study found that meditation can lead to a shift in EEG activities to higher frequencies, and different stages of meditation have different EEG activity patterns. The increased EEG activity was correlated with heart rate and nueropilin-1, with the brain-heart correlation mainly locating in the attention and emotion networks.
Article
Oncology
Isabela Pena Pino, Jun Ma, Yusuke S. Hori, Elena Fomchenko, Kathryn Dusenbery, Margaret Reynolds, Christopher Wilke, Jianling Yuan, Ethan Srinivasan, Matthew Grabowski, Peter Fecci, Evidio Domingo-Musibay, Naomi Fujioka, Gene H. Barnett, Veronica Chang, Alireza M. Mohammadi, Clark C. Chen
Summary: This study retrospectively collected clinical outcomes of 20 patients with BMRS treated with SLA followed by consolidation SRS and >6 months follow-up. The results showed a 100% local control rate at 6 and 12 months, with no new neurological deficits or complications. These findings support further investigation of SLA/cSRS as a treatment strategy for BMRS.
JOURNAL OF NEURO-ONCOLOGY
(2022)
Article
Oncology
Kellen Mulford, Mariah McMahon, Andrew M. Gardeck, Matthew A. Hunt, Clark C. Chen, David J. Odde, Christopher Wilke
Summary: This study developed a non-invasive method to predict the motility of glioblastoma cells using radiomics features. It showed the feasibility of a quantitative MRI feature-based regression model in predicting the cellular motility of glioblastomas.
Article
Clinical Neurology
Xiaodan Niu, Kai Yu, Bin He
Summary: Transcranial focused ultrasound (tFUS) neuromodulation is a promising non-invasive therapy for neurological disorders. This study investigates the ability of tFUS to induce sustained changes in synaptic connectivity. The results suggest that tFUS can encode sustained changes in synaptic connectivity through mechanisms unrelated to thermal changes.
Article
Chemistry, Multidisciplinary
Haiteng Jiang, Vasileios Kokkinos, Shuai Ye, Alexandra Urban, Anto Bagic, Mark Richardson, Bin He
Summary: This study developed a new method to localize the seizure onset zone (SOZ) and predict seizure outcome using short-time resting-state SEEG data. They found that greater differences in resting-state information flow between SOZ and non-SOZ regions are associated with favorable seizure outcome.
Article
Engineering, Biomedical
Sandhya Ramachandran, Xiaodan Niu, Kai Yu, Bin He
Summary: This study investigates how tFUS modulates neural interaction and response to peripheral electrical stimulation through intracranial multi-electrode recordings in the rat somatosensory cortex. The results demonstrate changes in excitability of individual neurons and network dynamics as a whole induced by tFUS sonication repetition frequency.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Rui Sun, Abbas Sohrabpour, Gregory A. Worrell, Bin He
Summary: This article introduces a non-conventional deep learning-based source imaging framework called DeepSIF, which provides robust and precise spatiotemporal estimates of underlying brain dynamics from noninvasive high-density electroencephalography (EEG) recordings. The performance of DeepSIF is evaluated through various experiments and it demonstrates superior performance in imaging sensory and cognitive brain responses as well as identifying epileptogenic regions.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Editorial Material
Engineering, Biomedical
Bin He
IEEE REVIEWS IN BIOMEDICAL ENGINEERING
(2023)
Article
Neurosciences
Rui Sun, Wenbo Zhang, Anto Bagic, Bin He
Summary: Electromagnetic source imaging (ESI) offers unique capability of imaging brain dynamics and aiding the clinical management of brain disorders. By combining generative models and deep learning, more accurate and realistic source modeling can be achieved, providing an alternative approach to ESI beyond equivalent physical source models.
Article
Engineering, Biomedical
Hao Zhu, Dylan Forenzo, Bin He
Summary: Motor imagery based brain-computer interface is an important BCI paradigm that requires powerful classifiers. Deep learning technology has led to the development of multiple classification models, and finding the best performing model is crucial for designing better BCI systems. However, comparing the performance of these models directly is difficult due to differing datasets. In this study, five deep classification models were tested on two large, publicly available databases, with EEGNet performing the best on one database.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Min Gon Kim, Kai Yu, Xiaodan Niu, Bin He
Summary: In this study, a high-frequency ultrasound (HFUS) system was developed and integrated into the tFUS neuromodulation system. The performance of the HFUS-based displacement tracking and analysis was evaluated by theoretical analysis. The effects of various pressure levels on the displacements of the silicon-based microelectrode array in ex vivo brain tissue were investigated.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Biomedical
Chunsheng Li, Abbas Sohrabpour, Haiteng Jiang, Bin He
Summary: Seizure generation is thought to be driven by epileptogenic networks, and high-frequency hubs play a more critical role in determining treatment outcomes. HF hubs show increased activity in the early and middle stages of seizures, while LF hubs show increased activity in the late stages. HF hubs can more accurately predict treatment outcomes, providing more precise targets for surgical interventions or neuromodulation therapies.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Clinical Neurology
Jaakko Vallinoja, Timo Nurmi, Julia Jaatela, Vincent Wens, Mathieu Bourguignon, Helena Maenpaa, Harri Piitulainen
Summary: The study aimed to assess the effects of lesions related to spastic diplegic cerebral palsy on functional connectivity. Using multiple imaging modalities, the researchers found enhanced functional connectivity in the sensorimotor network of individuals with spastic diplegic cerebral palsy, which was not correlated with hand coordination performance.
CLINICAL NEUROPHYSIOLOGY
(2024)
Article
Clinical Neurology
Francesca Ginatempo, Nicola Loi, John C. Rothwell, Franca Deriu
Summary: This study comprehensively investigated sensorimotor integration in the cranial-cervical muscles of healthy adults and found that the integration of sensory inputs with motor output is profoundly influenced by the type of sensory afferent involved and the functional role played by the target muscle.
CLINICAL NEUROPHYSIOLOGY
(2024)
