Article
Chemistry, Multidisciplinary
Jianzhuo Yan, Jinnan Li, Hongxia Xu, Yongchuan Yu, Tianyu Xu
Summary: This study presents a transformer-based seizure prediction model that extracts time-frequency characteristics of EEG signals and solves the length limitations in deep learning models by fusing and classifying the features. Experimental results show that the model improves the accuracy of seizure prediction.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Interdisciplinary Applications
Satarupa Chakrabarti, Aleena Swetapadma, Prasant Kumar Pattnaik
Summary: The study proposes an automatic epileptic seizure detection system based on a long short-term memory network, which achieves high sensitivity and low false positive rate, and is simple and effective. The convergence analysis shows that the proposed model has reliability and accuracy in detecting epileptic seizures.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Clinical Neurology
Magdalena Krygier, Marta Zawadzka, Agnieszka Sawicka, Maria Mazurkiewicz-Beldzinska
Summary: Reflex seizures (RSs) are epileptic events consistently induced by specific triggers, and the genetic background is complex and potentially polygenic. This article describes individuals with reflex seizures as the predominant symptom, where pathogenic and likely pathogenic variants were identified in the CACNA1A, GNAO1, and NOVA2 genes. Rare monogenic epilepsies associated with RSs are also summarized.
SEIZURE-EUROPEAN JOURNAL OF EPILEPSY
(2022)
Article
Computer Science, Artificial Intelligence
Abhijeet Bhattacharya, Tanmay Baweja, S. P. K. Karri
Summary: The electroencephalogram (EEG) is an effective technique to study epilepsy, and automated screening using a combination of signal processing and deep learning shows superior performance and potential.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2022)
Review
Geriatrics & Gerontology
Samrina Hanif, Shane T. Musick
Summary: Reflex seizures are epileptic events that are consistently elicited in response to specific stimuli or activities, with various triggers such as flashing lights and reading. Treatment involves antiseizure medication, lifestyle modifications, and occasionally surgical intervention. High clinical suspicion and thorough history taking are crucial in identifying reflex triggers in epilepsy patients.
Article
Medicine, General & Internal
Waseem Ahmad Mir, Mohd Anjum, Izharuddin Izharuddin, Sana Shahab
Summary: Detecting brain disorders using deep learning methods has gained significant attention. We developed a deep learning model, DCAE-ESD-Bi-LSTM, for automatic detection of seizures using EEG data, achieving high accuracy and optimized diagnosis of epilepsy.
Article
Clinical Neurology
Zhao Xu, Xianru Jiao, Pan Gong, Yue Niu, Zhixian Yang
Summary: This study investigates the detailed characteristics of startle-induced epileptic spasms and explores the brain regions where these spasms originate. The findings suggest that patients with startle-induced epileptic spasms typically have brain lesions and show drug resistance, and the frontal cortex is often the origin of these spasms.
FRONTIERS IN NEUROLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Salim Rukhsar, Anil Kumar Tiwari
Summary: This study introduces a novel lightweight Convolution Transformer model that can effectively detect seizures in cross-patient learning, enhancing performance through the inclusion of inductive biases and attention-based pooling.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Clinical Neurology
Ali A. Asadi-Pooya, Mehdi Bazrafshan, Mohsen Farazdaghi
Summary: The study identified three distinct clusters of patients with LGS using Two-Step cluster analysis, showing significant differences in seizure outcomes between these clusters.
SEIZURE-EUROPEAN JOURNAL OF EPILEPSY
(2021)
Article
Clinical Neurology
Ali A. Asadi-Pooya
Summary: Compared to the traditional definition, the new definition of Lennox-Gastaut syndrome (LGS) has three major changes: onset prior to 18 years, inclusion of tonic seizures, and presence of generalized slow spikewaves (SSW) and/or generalized paroxysmal fast activity (GPFA) on EEG. This exploratory study examined the practical implications and potential limitations of the new LGS definition based on a large cohort of patients.
JOURNAL OF CLINICAL NEUROSCIENCE
(2023)
Article
Computer Science, Artificial Intelligence
Xiaoshuang Wang, Xiulin Wang, Wenya Liu, Zheng Chang, Tommi Karkkainen, Fengyu Cong
Summary: A model combining one-dimensional convolutional neural network and random selection, data augmentation strategy was proposed for epileptic seizure detection, achieving high performance on segment-based and event-based levels when tested on two long-term EEG datasets.
Review
Multidisciplinary Sciences
Christina Maher, Yikai Yang, Nhan Duy Truong, Chenyu Wang, Armin Nikpour, Omid Kavehei
Summary: Epilepsy is a common condition characterized by recurrent, unpredictable seizures. The current method of monitoring with EEG is time-consuming, uncomfortable, and sometimes ineffective for patients. Limited options for data collection and training machine-learning models exist due to restricted hospital resources and hardware/software specifications. This mini-review looks at the current patient journey and suggests opportunities for improving data reliability through multi-modal data fusion. Further research is needed to advance brain monitoring solutions towards portable, reliable devices that offer patient comfort, perform ultra-long-term monitoring, and expedite the diagnosis process.
ROYAL SOCIETY OPEN SCIENCE
(2023)
Article
Clinical Neurology
Baibing Chen, Sanjeet S. Grewal, Erik H. Middlebrooks, William O. Tatum, Anthony L. Ritaccio, Joseph I. Sirven, Brin E. Freund, Anteneh M. Feyissa
Summary: Magnetic resonance-guided laser interstitial thermal therapy (MRLiTT) has gained popularity for treating temporal lobe epilepsy. This pilot study investigated the predictive value of pre- and post-MRLiTT epileptiform discharges (EDs) on intraoperative electrocorticography (iECoG) for seizure outcomes in patients with mesial temporal lobe epilepsy (mTLE). The study found that a reduction in ED frequency during MRLiTT may potentially predict seizure outcomes. Larger prospective studies are needed to confirm these findings and evaluate the utility of iECoG during MRLiTT.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Joseph Mathew, N. Sivakumaran, P. A. Karthick
Summary: Accurate detection of seizure types is crucial for effective treatment and management of epilepsy. This research introduces a novel feature fusion approach based on VMD to detect different types of seizures. Experimental results show that VMD performs well in distinguishing seizure types, and RSZM can effectively recognize seizure types from the first few seconds of ictal EEG. The fusion of RSZM with other features further improves the accuracy.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Behavioral Sciences
Lana Jeradeh Boursoulian, Victoria Adeseye, Beth A. Malow, Kevin Ess
Summary: Children with Autism Spectrum Disorder (ASD) have a higher prevalence of epilepsy, leading to increased morbidity and mortality. Recurrence rate after the first nonfebrile seizure in this population is 70.9%, with a higher rate for generalized convulsions compared to behavioral arrest seizures. Abnormal EEG is a strong predictor of seizure recurrence, even with a normal EEG, the recurrence rate for generalized convulsions remains high.
EPILEPSY & BEHAVIOR
(2021)
Article
Genetics & Heredity
A. Liu, X. Xu, X. Yang, Y. Jiang, Z. Yang, X. Liu, Y. Wu, X. Wu, L. Wei, Y. Zhang
Article
Clinical Neurology
Ingrid E. Scheffer, Samuel Berkovic, Giuseppe Capovilla, Mary B. Connolly, Jacqueline French, Laura Guilhoto, Edouard Hirsch, Satish Jain, Gary W. Mathern, Solomon L. Moshe, Douglas R. Nordli, Emilio Perucca, Torbjoern Tomson, Samuel Wiebe, Yue-Hua Zhang, Sameer M. Zuberi
Article
Endocrinology & Metabolism
Jiao Xue, Xingzhi Chang, Yuehua Zhang, Zhixian Yang
METABOLIC BRAIN DISEASE
(2017)
Article
Endocrinology & Metabolism
Binbin Cao, Xiaoping Yang, Yinyin Chen, Qionghui Huang, Ye Wu, Qiang Gu, Jiangxi Xiao, Huixia Yang, Hong Pan, Junya Chen, Yu Sun, Li Ren, Chengfeng Zhao, Yanhua Deng, Yanling Yang, Xingzhi Chang, Zhixian Yang, Yuehua Zhang, Zhengping Niu, Juli Wang, Xiru Wu, Jingmin Wang, Yuwu Jiang
METABOLIC BRAIN DISEASE
(2017)
Article
Clinical Neurology
Xiaoling Yang, Ping Qian, Xiaojing Xu, Xiaoyan Liu, Xiru Wu, Yuehua Zhang, Zhixian Yang
BRAIN & DEVELOPMENT
(2018)
Article
Clinical Neurology
Xiaojuan Tian, Jintang Ye, Qi Zeng, Jing Zhang, Xiaoling Yang, Aijie Liu, Zhixian Yang, Xiaoyan Liu, Xiru Wu, Yuehua Zhang
DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
(2018)
Letter
Neurosciences
Ji Zhou, Yao Zhang, Yiwen Jin, Taoyun Ji, Xinhua Bao, Yuehua Zhang, Hui Xiong, Xinzhi Chang, Yuwu Jiang, Ye Wu
JOURNAL OF NEUROIMMUNE PHARMACOLOGY
(2018)
Article
Multidisciplinary Sciences
Haoran Ji, Dongxiao Li, Ye Wu, Quanli Zhang, Qiang Gu, Han Xie, Taoyun Ji, Huifang Wang, Lu Zhao, Haijuan Zhao, Yanling Yang, Hongchun Feng, Hui Xiong, Jinhua Ji, Zhixian Yang, Liping Kou, Ming Li, Xinhua Bao, Xingzhi Chang, Yuehua Zhang, Li Li, Huijuan Li, Zhengping Niu, Xiru Wu, Jiangxi Xiao, Yuwu Jiang, Jingmin Wang
Article
Multidisciplinary Sciences
Jiao Xue, Pan Gong, Haipo Yang, Xiaoyan Liu, Yuwu Jiang, Yuehua Zhang, Zhixian Yang
SCIENTIFIC REPORTS
(2018)
Article
Mathematical & Computational Biology
Changhong Yang, Jiarui Li, Qixi Wu, Xiaoxu Yang, August Yue Huang, Jie Zhang, Adam Yongxin Ye, Yanmei Dou, Linlin Yan, Wei-zhen Zhou, Lei Kong, Meng Wang, Chen Ai, Dechang Yang, Liping Wei
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
(2018)
Article
Genetics & Heredity
Aijie Liu, Xiaoxu Yang, Xiaoling Yang, Qixi Wu, Jing Zhang, Dan Sun, Zhixian Yang, Yuwu Jiang, Xiru Wu, Liping Wei, Yuehua Zhang
JOURNAL OF MEDICAL GENETICS
(2019)
Article
Clinical Neurology
Zhixian Yang, Jiao Xue, Hui Li, Ping Qian, Xiaoyan Liu, Yuwu Jiang, Yuehua Zhang
CLINICAL NEUROPHYSIOLOGY
(2017)
Article
Clinical Neurology
Zhixian Yang, Hui Li, Jiao Xue, Ping Qian, Xiaoyan Liu, Yuehua Zhang
BRAIN & DEVELOPMENT
(2017)
Article
Clinical Neurology
Hui Li, Jiao Xue, Ping Qian, Yuehua Zhang, Xinhua Bao, Xiaoyan Liu, Zhixian Yang
BRAIN & DEVELOPMENT
(2017)
Article
Clinical Neurology
Jiao Xue, Ping Qian, Hui Li, Haipo Yang, Xiaoyan Liu, Yuehua Zhang, Zhixian Yang
CLINICAL NEUROPHYSIOLOGY
(2017)
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)
