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JOURNAL ARTICLE
Kajari Gupta, Milan Paluš
An information-theoretic approach for detecting causality and information transfer was applied to phases and amplitudes of oscillatory components related to different time scales and obtained using the wavelet transform from a time series generated by the Epileptor model. Three main time scales and their causal interactions were identified in the simulated epileptic seizures, in agreement with the interactions of the model variables. An approach consisting of wavelet transform, conditional mutual information estimation, and surrogate data testing applied to a single time series generated by the model was demonstrated to be successful in the identification of all directional (causal) interactions between the three different time scales described in the model...
April 25, 2021: Entropy
#22
JOURNAL ARTICLE
Jennifer A Frontera, Kara Melmed, Taolin Fang, Andre Granger, Jessica Lin, Shadi Yaghi, Ting Zhou, Ariane Lewis, Sebastian Kurz, D Ethan Kahn, Adam de Havenon, Joshua Huang, Barry M Czeisler, Aaron Lord, Sharon B Meropol, Andrea B Troxel, Thomas Wisniewski, Laura Balcer, Steven Galetta
BACKGROUND: Toxic metabolic encephalopathy (TME) has been reported in 7-31% of hospitalized patients with coronavirus disease 2019 (COVID-19); however, some reports include sedation-related delirium and few data exist on the etiology of TME. We aimed to identify the prevalence, etiologies, and mortality rates associated with TME in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients. METHODS: We conducted a retrospective, multicenter, observational cohort study among patients with reverse transcriptase-polymerase chain reaction-confirmed SARS-CoV-2 infection hospitalized at four New York City hospitals in the same health network between March 1, 2020, and May 20, 2020...
March 16, 2021: Neurocritical Care
#23
JOURNAL ARTICLE
Joery den Hoed, Elke de Boer, Norine Voisin, Alexander J M Dingemans, Nicolas Guex, Laurens Wiel, Christoffer Nellaker, Shivarajan M Amudhavalli, Siddharth Banka, Frederique S Bena, Bruria Ben-Zeev, Vincent R Bonagura, Ange-Line Bruel, Theresa Brunet, Han G Brunner, Hui B Chew, Jacqueline Chrast, Loreta Cimbalistienė, Hilary Coon, Emmanuèlle C Délot, Florence Démurger, Anne-Sophie Denommé-Pichon, Christel Depienne, Dian Donnai, David A Dyment, Orly Elpeleg, Laurence Faivre, Christian Gilissen, Leslie Granger, Benjamin Haber, Yasuo Hachiya, Yasmin Hamzavi Abedi, Jennifer Hanebeck, Jayne Y Hehir-Kwa, Brooke Horist, Toshiyuki Itai, Adam Jackson, Rosalyn Jewell, Kelly L Jones, Shelagh Joss, Hirofumi Kashii, Mitsuhiro Kato, Anja A Kattentidt-Mouravieva, Fernando Kok, Urania Kotzaeridou, Vidya Krishnamurthy, Vaidutis Kučinskas, Alma Kuechler, Alinoë Lavillaureix, Pengfei Liu, Linda Manwaring, Naomichi Matsumoto, Benoît Mazel, Kirsty McWalter, Vardiella Meiner, Mohamad A Mikati, Satoko Miyatake, Takeshi Mizuguchi, Lip H Moey, Shehla Mohammed, Hagar Mor-Shaked, Hayley Mountford, Ruth Newbury-Ecob, Sylvie Odent, Laura Orec, Matthew Osmond, Timothy B Palculict, Michael Parker, Andrea K Petersen, Rolph Pfundt, Eglė Preikšaitienė, Kelly Radtke, Emmanuelle Ranza, Jill A Rosenfeld, Teresa Santiago-Sim, Caitlin Schwager, Margje Sinnema, Lot Snijders Blok, Rebecca C Spillmann, Alexander P A Stegmann, Isabelle Thiffault, Linh Tran, Adi Vaknin-Dembinsky, Juliana H Vedovato-Dos-Santos, Samantha A Schrier Vergano, Eric Vilain, Antonio Vitobello, Matias Wagner, Androu Waheeb, Marcia Willing, Britton Zuccarelli, Usha Kini, Dianne F Newbury, Tjitske Kleefstra, Alexandre Reymond, Simon E Fisher, Lisenka E L M Vissers
Whereas large-scale statistical analyses can robustly identify disease-gene relationships, they do not accurately capture genotype-phenotype correlations or disease mechanisms. We use multiple lines of independent evidence to show that different variant types in a single gene, SATB1, cause clinically overlapping but distinct neurodevelopmental disorders. Clinical evaluation of 42 individuals carrying SATB1 variants identified overt genotype-phenotype relationships, associated with different pathophysiological mechanisms, established by functional assays...
February 4, 2021: American Journal of Human Genetics
#24
REVIEW
Kanupriya Gupta, Pulkit Grover, Taylor J Abel
Localization of the epileptogenic zone (EZ) is crucial in the surgical treatment of focal epilepsy. Recently, EEG studies have revealed that the EZ exhibits abnormal connectivity, which has led investigators to now consider connectivity as a biomarker to localize the EZ. Further, abnormal connectivity of the EZ may provide an explanation for the impact of focal epilepsy on more widespread brain networks involved in typical cognition and development. Stereo-electroencephalography (sEEG) is a well-established method for localizing the EZ that has recently been applied to examine altered brain connectivity in epilepsy...
2020: Frontiers in Neurology
#25
MULTICENTER STUDY
A Prospective Study of Neurologic Disorders in Hospitalized Patients With COVID-19 in New York City.
Jennifer A Frontera, Sakinah Sabadia, Rebecca Lalchan, Taolin Fang, Brent Flusty, Patricio Millar-Vernetti, Thomas Snyder, Stephen Berger, Dixon Yang, Andre Granger, Nicole Morgan, Palak Patel, Josef Gutman, Kara Melmed, Shashank Agarwal, Matthew Bokhari, Andres Andino, Eduard Valdes, Mirza Omari, Alexandra Kvernland, Kaitlyn Lillemoe, Sherry H-Y Chou, Molly McNett, Raimund Helbok, Shraddha Mainali, Ericka L Fink, Courtney Robertson, Michelle Schober, Jose I Suarez, Wendy Ziai, David Menon, Daniel Friedman, David Friedman, Manisha Holmes, Joshua Huang, Sujata Thawani, Jonathan Howard, Nada Abou-Fayssal, Penina Krieger, Ariane Lewis, Aaron S Lord, Ting Zhou, D Ethan Kahn, Barry M Czeisler, Jose Torres, Shadi Yaghi, Koto Ishida, Erica Scher, Adam de Havenon, Dimitris Placantonakis, Mengling Liu, Thomas Wisniewski, Andrea B Troxel, Laura Balcer, Steven Galetta
OBJECTIVE: To determine the prevalence and associated mortality of well-defined neurologic diagnoses among patients with coronavirus disease 2019 (COVID-19), we prospectively followed hospitalized severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients and recorded new neurologic disorders and hospital outcomes. METHODS: We conducted a prospective, multicenter, observational study of consecutive hospitalized adults in the New York City metropolitan area with laboratory-confirmed SARS-CoV-2 infection...
January 26, 2021: Neurology
#26
JOURNAL ARTICLE
Yufang Yang, Fang Zhang, Junming Zhu, Yueming Wang, Kedi Xu
Seizure types and characteristics may vary with time in a patient with distinct mechanisms underlying the propagation of ictal activity. Similarly, we found that both focal and generalized seizures coexist in some pilocarpine-induced chronic temporal lobe epilepsy (TLE) rats. In different seizure patterns, mapping complex networks and analyzing epileptic characteristics involved in seizure propagation are likely to reflect seizure propagation mechanisms, and indicate the establishment of stimulation strategy for epilepsy treatment, especially on the selection of stimulation targets...
July 2020: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
#27
JOURNAL ARTICLE
Jianping Qiao, Xiuhe Zhao, Shengjun Wang, Anning Li, Zhishun Wang, Chongfeng Cao, Qing Wang
Objective: The purpose of this study was to examine the neural substrates and mechanisms that generate memory deficits, seizures and neuropsychiatric abnormalities in encephalitis with LGI1 antibodies using a data-driven, multimodal magnetic resonance imaging (MRI) approach. Methods: Functional MRI data were acquired from 14 anti-LGI1 encephalitis patients and 14 age and gender matched normal controls. Independent component analysis with hierarchical partner matching (HPM-ICA) was used to assess the whole-brain intrinsic functional connectivity...
2020: Frontiers in Neuroscience
#28
JOURNAL ARTICLE
Simone Vespa, Amir G Baroumand, Susana Ferrao Santos, Pascal Vrielynck, Marianne de Tourtchaninoff, Odile Feys, Gregor Strobbe, Christian Raftopoulos, Pieter van Mierlo, Riëm El Tahry
PURPOSE: To evaluate the yield of Functional Connectivity (FC) in addition to low-density ictal Electrical Source Imaging (ESI) in extratemporal lobe epilepsy (ETLE), using an automated algorithm for analysis. METHOD: Long-term EEG monitoring of consecutive ETLE patients who underwent surgery was reviewed by epileptologists, and seizure onsets characterized by rhythmical activity were identified. A spectrogram-based algorithm was developed to select objectively the parameters of ESI analysis...
May 2020: Seizure: the Journal of the British Epilepsy Association
#29
JOURNAL ARTICLE
Zhao Zhang, Xia Zhou, Jinping Liu, Lu Qin, Wei Ye, Jinou Zheng
Objective: We aimed to explore functional connectivity (FC) and effective connectivity (EC) of the executive control networks (ECNs) and the default mode network (DMN) in patients with right-sided TLE (rTLE) by applying independent component analysis (ICA) and Granger causal analysis (GCA). Methods: Twenty-seven patients with rTLE and 20 healthy controls (HCs) matched for age, gender underwent resting-state functional magnetic resonance imaging and Attention Network Test (ANT). Results: The FC analysis showed compared to HCs, patients with rTLE demonstrated reduced FC strength in the right inferior parietal gyrus (IPG) and the right middle temporal gyrus (MTG)...
July 2020: International Journal of Neuroscience
#30
JOURNAL ARTICLE
Mona Hejazi, Ali Motie Nasrabadi
Epilepsy is a chronic disorder, which causes strange perceptions, muscle spasms, sometimes seizures, and loss of awareness, associated with abnormal neuronal activity in the brain. The goal of this study is to investigate how effective connectivity (EC) changes effect on unexpected seizures prediction, as this will authorize the patients to play it safe and avoid risk. We approve the hypothesis that EC variables near seizure change significantly so seizure can be predicted in accordance with this variation...
October 2019: Cognitive Neurodynamics
#31
JOURNAL ARTICLE
Wenwen Jiang, Caiyun Wu, Jing Xiang, Ailiang Miao, Wenchao Qiu, Lu Tang, Shuyang Huang, Qiqi Chen, Zheng Hu, Xiaoshan Wang
Objective: With increasing efforts devoted to investigating the generation and propagation mechanisms of spontaneous spike and wave discharges (SWDs), little attention has been paid to network mechanisms associated with termination patterns of SWDs to date. In the current study, we aimed to identify the frequency-dependent neural network dynamics during the offset of absence seizures. Methods: Fifteen drug-naïve patients with childhood absence epilepsy (CAE) were assessed with a 275-Channel Magnetoencephalography (MEG) system...
2019: Frontiers in Neurology
#32
JOURNAL ARTICLE
Tao Han, Zhexue Xu, Jialin Du, Qilin Zhou, Tao Yu, Chunyan Liu, Yuping Wang
Identifying lateralization of bilateral temporal lobe epilepsy (TLE) is a challenging issue; scalp electroencephalography (EEG) and routine band electrocorticography (ECoG) fail to reveal the epileptogenic focus for further temporal lobectomy treatment. High-frequency oscillations (HFOs) can be utilized as a biomarker for lateralizing the onset zone in suspected bitemporal epilepsy. Except subjective vision detect the HFOs, objective verification should be performed to raise the accuracy. In the present research, we prospectively studied 10 patients with refractory temporal seizures and who underwent ECoG with wide-band frequency amplifiers (2,048 Hz); all patients had a class I outcome after temporal resection...
2019: Frontiers in Neuroinformatics
#33
JOURNAL ARTICLE
Ana Coito, Silke Biethahn, Janina Tepperberg, Margherita Carboni, Ulrich Roelcke, Margitta Seeck, Pieter van Mierlo, Markus Gschwind, Serge Vulliemoz
OBJECTIVE: Electrical source imaging (ESI) is used increasingly to estimate the epileptogenic zone (EZ) in patients with epilepsy. Directed functional connectivity (DFC) coupled to ESI helps to better characterize epileptic networks, but studies on interictal activity have relied on high-density recordings. We investigated the accuracy of ESI and DFC for localizing the EZ, based on low-density clinical electroencephalography (EEG). METHODS: We selected patients with the following: (a) focal epilepsy, (b) interictal spikes on standard EEG, (c) either a focal structural lesion concordant with the electroclinical semiology or good postoperative outcome...
June 2019: Epilepsia Open
#34
JOURNAL ARTICLE
Zahra Abbasvandi, Ali Motie Nasrabadi
OBJECTIVE: Effective connectivity is an important notion in neuroscience research, useful for detecting the interactions between regions of the brain. NEW METHOD: Since we are dealing with a dynamic system, it seems that using a dynamic tool could effectively achieve better results. In this paper, a novel approach, called "Recurrent Neural Network - Neuron Growth Using Error Whiteness - Granger Causality" (RNN-NGUEW-GC) is proposed to estimate the effective connectivity...
May 15, 2019: Computers in Biology and Medicine
#35
JOURNAL ARTICLE
Rong Li, Chongyu Hu, Liangcheng Wang, Ding Liu, Dingyang Liu, Wei Liao, Bo Xiao, Huafu Chen, Li Feng
Growing evidence has demonstrated widespread brain network alterations in temporal lobe epilepsy (TLE). However, the relatively accurate portrait of the subcortical-cortical relationship for impaired consciousness in TLE remains unclear. We proposed that consciousness-impairing seizures may invade subcortical arousal system and corresponding cortical regions, resulting in functional abnormalities and information flow disturbances between subcortical and cortical networks. We performed resting-state fMRI in 26 patients with TLE and 30 matched healthy controls...
January 7, 2019: Brain Imaging and Behavior
#36
JOURNAL ARTICLE
Chunfeng Yang, Wentao Xiang, Jiasong Wu, Youyong Kong, Longyu Jiang, Jèannes Régine Le Bouquin, Huazhong Shu
The objective is to deal with brain effective connectivity among epilepsy electroencephalogram (EEG) signals recorded by use of depth electrodes in the cerebral cortex of patients suffering from refractory epilepsy during their epileptic seizures. The Wiener-Granger Causality Index (WGCI) is a well-known effective measure that can be useful to detect causal relations of interdependence in these kinds of EEG signals. It is based on the linear autoregressive model, and the issue of the estimation of the model parameters plays an important role in the calculation accuracy and robustness of WGCI to do research on brain effective connectivity...
October 25, 2018: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
#37
JOURNAL ARTICLE
Lu-Wei Jiang, Ruo-Bing Qian, Xian-Ming Fu, Dong Zhang, Nan Peng, Chao-Shi Niu, Ye-Han Wang
PURPOSE: Epilepsy is considered a disorder of neural networks. Patients diagnosed with refractory epilepsy frequently experience attention impairments. Seizure activity in epilepsy may disturb brain networks and damage the brain function of attention. The aims of this study were to assess functional and causal connectivities of the attention networks and default mode network using resting-state functional magnetic resonance imaging (fMRI). METHOD: Resting-state fMRI data were gathered from 19 patients with refractory epilepsy (mixed localization and aetiologies) and 21 healthy people...
November 2018: Epilepsy & Behavior: E&B
#38
JOURNAL ARTICLE
Nicoleta Stoicea, Kenneth Moran, Abdel-Rasoul Mahmoud, Andrew Glassman, Thomas Ellis, John Ryan, Jeffrey Granger, Nicholas Joseph, Nathan Salon, Wiebke Ackermann, Barbara Rogers, Weston Niermeyer, Sergio D Bergese
BACKGROUND: Tranexamic acid (TXA) is an antifibrinolytic agent that has shown promise in reducing blood loss during total hip arthroplasty (THA). Several studies have reported side effects of high-dose TXA administration, including myocardial infarction (MI), thromboembolic events, and seizures. These possible side effects have prevented the widespread adoption of TXA in the surgical community. METHODS: We conducted a retrospective chart review of 564 primary and revision THAs performed at a single academic center...
May 2018: Medicine (Baltimore)
#39
JOURNAL ARTICLE
Pieter van Mierlo, Octavian Lie, Willeke Staljanssens, Ana Coito, Serge Vulliémoz
We investigated the influence of processing steps in the estimation of multivariate directed functional connectivity during seizures recorded with intracranial EEG (iEEG) on seizure-onset zone (SOZ) localization. We studied the effect of (i) the number of nodes, (ii) time-series normalization, (iii) the choice of multivariate time-varying connectivity measure: Adaptive Directed Transfer Function (ADTF) or Adaptive Partial Directed Coherence (APDC) and (iv) graph theory measure: outdegree or shortest path length...
September 2018: Brain Topography
#40
JOURNAL ARTICLE
Tatiana M Medvedeva, Marina V Sysoeva, Gilles van Luijtelaar, Ilya V Sysoev
PURPOSE: The organization of neural networks and the mechanisms, which generate the highly stereotypical for absence epilepsy spike-wave discharges (SWDs) is heavily debated. Here we describe such a model which can both reproduce the characteristics of SWDs and dynamics of coupling between brain regions, relying mainly on properties of hierarchically organized networks of a large number of neuronal oscillators. MODEL: We used a two level mesoscale model. The first level consists of three structures: the nervus trigeminus serving as an input, the thalamus and the somatosensory cortex; the second level of a group of nearby situated neurons belonging to one of three modeled structures...
February 2018: Neural Networks: the Official Journal of the International Neural Network Society
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