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https://www.readbyqxmd.com/read/28230208/optogenetic-activation-of-vglut2-expressing-excitatory-neurons-blocks-epileptic-seizure-like-activity-in-the-mouse-entorhinal-cortex
#1
Latefa Yekhlef, Gian Luca Breschi, Stefano Taverna
We investigated whether an anti-epileptic effect is obtained by selectively activating excitatory neurons expressing ChR2 under the promoter for the synaptic vesicular glutamate transporter 2 (VGLUT2). VGLUT2-expressing cells were optically stimulated while local field potential and whole-cell patch-clamp recordings were performed in mouse entorhinal cortical slices perfused with the proconvulsive compound 4-aminopyridine (4-AP). In control conditions, blue light flashes directly depolarized the majority of putative glutamatergic cells, which in turn synaptically excited GABAergic interneurons...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28229464/modified-atkins-diet-is-an-effective-treatment-for-children-with-doose-syndrome
#2
Adelheid Wiemer-Kruel, Edda Haberlandt, Hans Hartmann, Gabriele Wohlrab, Thomas Bast
OBJECTIVE: Children with myoclonic astatic epilepsy (MAE; Doose syndrome) whose seizures do not respond immediately to standard antiepileptic drugs (AEDs) are at high risk of developing an epileptic encephalopathy with cognitive decline. A classic ketogenic diet (KD) is a highly effective alternative to AEDs. To date, there are only limited data on the effectiveness of the modified Atkins diet (MAD), which is less restrictive and more compatible with daily life. We report findings from a retrospective study on 30 MAE patients treated with MAD...
February 23, 2017: Epilepsia
https://www.readbyqxmd.com/read/28229394/epileptic-encephalopathies-clinical-syndromes-and-pathophysiological-concepts
#3
REVIEW
Markus von Deimling, Ingo Helbig, Eric D Marsh
Epileptic encephalopathies account for a large proportion of the intractable early-onset epilepsies and are characterized by frequent seizures and poor developmental outcome. The epileptic encephalopathies can be loosely divided into two related groups of named syndromes. The first comprises epilepsies where continuous EEG changes directly result in cognitive and developmental dysfunction. The second includes patients where cognitive impairment is present at seizure onset and is due to the underlying etiology but the epileptic activity may then worsen the cognitive abilities over time...
February 2017: Current Neurology and Neuroscience Reports
https://www.readbyqxmd.com/read/28228737/schizophrenia-associated-with-epileptiform-discharges-without-seizures-successfully-treated-with-levetiracetam
#4
Dominique Endres, Evgeniy Perlov, Bernd Feige, Dirk-Matthias Altenmüller, Nils Venhoff, Ludger Tebartz van Elst
BACKGROUND: Schizophrenia-like disorders can be divided into endogenic or primary, idiopathic, polygenetic forms, and different secondary, organic subgroups [e.g., (para)epileptic, immunological, degenerative]. Epileptic and paraepileptic explanatory approaches have a long tradition due to the high rate of electroencephalography (EEG) alterations in patients with schizophrenia. CASE PRESENTATION: We present the case of a 23-year-old female patient suffering, since the age of 14 years, from a fluctuating paranoid-hallucinatory syndrome with formal thought disorder, fear, delusions of persecution, auditory, visual, and tactile hallucinations, as well as negative and cognitive symptoms...
2017: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/28227964/cross-entropy-optimization-for-neuromodulation
#5
Harleen K Brar, Yunpeng Pan, Babak Mahmoudi, Evangelos A Theodorou, Harleen K Brar, Yunpeng Pan, Babak Mahmoudi, Evangelos A Theodorou, Yunpeng Pan, Harleen K Brar, Babak Mahmoudi, Evangelos A Theodorou
This study presents a reinforcement learning approach for the optimization of the proportional-integral gains of the feedback controller represented in a computational model of epilepsy. The chaotic oscillator model provides a feedback control systems view of the dynamics of an epileptic brain with an internal feedback controller representative of the natural seizure suppression mechanism within the brain circuitry. Normal and pathological brain activity is simulated in this model by adjusting the feedback gain values of the internal controller...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227963/predicting-seizures-from-local-field-potentials-recorded-via-intracortical-microelectrode-arrays
#6
Mehdi Aghagolzadeh, Leigh R Hochberg, Sydney S Cash, Wilson Truccolo, Mehdi Aghagolzadeh, Leigh R Hochberg, Sydney S Cash, Wilson Truccolo, Sydney S Cash, Wilson Truccolo, Mehdi Aghagolzadeh, Leigh R Hochberg
The need for new therapeutic interventions to treat pharmacologically resistant focal epileptic seizures has led recently to the development of closed-loop systems for seizure control. Once a seizure is predicted/detected by the system, electrical stimulation is delivered to prevent seizure initiation or spread. So far, seizure prediction/detection has been limited to tracking non-invasive electroencephalogram (EEG) or intracranial EEG (iEEG) signals. Here, we examine seizure prediction based on local field potentials (LFPs) from a small neocortical patch recorded via a 10×10 microelectrode array implanted in a patient with focal seizures...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227961/balancing-accuracy-delay-and-battery-autonomy-for-pervasive-seizure-detection
#7
Athanasios Karapatis, Robert M Seepers, Marijn van Dongen, Wouter A Serdijn, Christos Strydis, Athanasios Karapatis, Robert M Seepers, Marijn van Dongen, Wouter A Serdijn, Christos Strydis, Athanasios Karapatis, Wouter A Serdijn, Robert M Seepers, Christos Strydis, Marijn van Dongen
A promising alternative for treating absence seizures has emerged through closed-loop neurostimulation, which utilizes a wearable or implantable device to detect and subsequently suppress epileptic seizures. Such devices should detect seizures fast and with high accuracy, while respecting the strict energy budget on which they operate. Previous work has overlooked one or more of these requirements, resulting in solutions which are not suitable for continuous closed-loop stimulation. In this paper, we perform an in-depth design space exploration of a novel seizure-detection algorithm, which uses a complex Morlet wavelet filter and a static thresholding mechanism to detect absence seizures...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227145/towards-an-implantable-bio-sensor-platform-for-continuous-real-time-monitoring-of-anti-epileptic-drugs
#8
Abbas Hammoud, Ahmad Chamseddine, Dang K Nguyen, Mohamad Sawan, Abbas Hammoud, Ahmad Chamseddine, Dang K Nguyen, Mohamad Sawan, Mohamad Sawan, Abbas Hammoud, Dang K Nguyen
The need of continuous real-time monitoring device for in-vivo drug level detection has been widely articulated lately. Such monitoring could guide drug posology and timing of intake, detect low or high drug levels, in order to take adequate measures, and give clinicians a valuable window into patients' health and their response to therapeutics. This paper presents a novel implantable bio-sensor based on impedance measurement capable of continuously monitoring various antiepileptic drug levels. This portable point-of-care microsystem replaces large and stationary conventional macrosystems, and is a one of a kind system designed with an array of electrodes to monitor various anti-epileptic drugs rather than one drug...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227106/epileptic-seizure-onset-correlates-with-long-term-eeg-functional-brain-network-properties
#9
Maria Anastasiadou, Avgis Hadjipapas, Manolis Christodoulakis, Eleftherios S Papathanasiou, Savvas S Papacostas, Georgios D Mitsis, Maria Anastasiadou, Avgis Hadjipapas, Manolis Christodoulakis, Eleftherios S Papathanasiou, Savvas S Papacostas, Georgios D Mitsis, Maria Anastasiadou, Avgis Hadjipapas, Manolis Christodoulakis, Savvas S Papacostas, Eleftherios S Papathanasiou, Georgios D Mitsis
We investigated the correlation of epileptic seizure onset times with long term EEG functional brain network properties. To do so, we constructed binary functional brain networks from long-term, multichannel electroencephalographic data recorded from nine patients with epilepsy. The corresponding network properties were quantified using the average network degree. It was found that the network degree (as well as other network properties such as the network efficiency and clustering coefficient) exhibited large fluctuations over time; however, it also exhibited specific periodic temporal structure over different time scales (1...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227105/quantifying-connectivity-in-a-physiology-based-model-using-adaptive-dynamic-causal-modelling
#10
W Xiang, C Yang, A Karfoul, R Le Bouquin Jeannes, W Xiang, C Yang, A Karfoul, R Le Bouquin Jeannes, A Karfoul, W Xiang, C Yang
This paper proposes an Adaptive Dynamic Causal Modelling based approach to detect and quantify effective connectivity in human brain structures injured by epileptic activities. The identification of the parameters in the physiology based model subtended the Electroencephalographic observations is performed by improving the optimization step in the Expectation Maximization algorithm. Considering unidirectional flow propagation, we show the efficiency of our proposed approach compared to the conventional technique...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227000/missing-rri-interpolation-for-hrv-analysis-using-locally-weighted-partial-least-squares-regression
#11
Keisuke Kamata, Koichi Fujiwara, Toshiki Yamakawa, Manabu Kano, Keisuke Kamata, Koichi Fujiwara, Toshiki Yamakawa, Manabu Kano
The R-R interval (RRI) fluctuation in electrocardiogram (ECG) is called heart rate variability (HRV). Since HRV reflects autonomic nervous function, HRV-based health monitoring services, such as stress estimation, drowsy driving detection, and epileptic seizure prediction, have been proposed. In these HRV-based health monitoring services, precise R wave detection from ECG is required; however, R waves cannot always be detected due to ECG artifacts. Missing RRI data should be interpolated appropriately for HRV analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226670/computational-modeling-of-high-frequency-oscillations-recorded-with-clinical-intracranial-macroelectrodes
#12
M Shamas, P Benquet, I Merlet, W El Falou, M Khalil, F Wendling, M Shamas, P Benquet, I Merlet, W El Falou, M Khalil, F Wendling, M Khalil, P Benquet, I Merlet, W El Falou, M Shamas, F Wendling
High Frequency Oscillations (HFOs) are a potential biomarker of epileptogenic regions. They have been extensively investigated in terms of automatic detection, classification and feature extraction. However, the mechanisms governing the generation of HFOs as well as the observability conditions on clinical intracranial macroelectrodes remain elusive. In this paper, we propose a novel physiologically-relevant macroscopic model for accurate simulation of HFOs as invasively recorded in epileptic patients. This model accounts for both the temporal and spatial properties of the cortical patch at the origin of epileptiform activity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226669/seizure-detection-using-dynamic-warping-for-patients-with-intellectual-disability
#13
Lei Wang, Johan B A M Arends, Xi Long, Yan Wu, Pierre J M Cluitmans, Lei Wang, Johan B A M Arends, Xi Long, Yan Wu, Pierre J M Cluitmans, Yan Wu, Johan B A M Arends, Lei Wang, Pierre J M Cluitmans, Xi Long
Electroencephalography (EEG) is paramount for both retrospective analysis and real-time monitoring of epileptic seizures. Studies have shown that EEG-based seizure detection is very difficult for a specific epileptic population with intellectual disability due to the cerebral development disorders. In this work, a seizure detection method based on dynamic warping (DW) is proposed for patients with intellectual disability. It uses an EEG template of an individual subject's dominant seizure type, to extract the morphological features from EEG signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226668/gaussian-mixture-model-for-the-identification-of-psychogenic-non-epileptic-seizures-using-a-wearable-accelerometer-sensor
#14
Shitanshu Kusmakar, Ramanathan Muthuganapathy, Bernard Yan, Terence J O'Brien, Marimuthu Palaniswami, Shitanshu Kusmakar, Ramanathan Muthuganapathy, Bernard Yan, Terence J O'Brien, Marimuthu Palaniswami, Terence J O'Brien, Shitanshu Kusmakar, Bernard Yan, Ramanathan Muthuganapathy, Marimuthu Palaniswami
Any abnormal hypersynchronus activity of neurons can be characterized as an epileptic seizure (ES). A broad class of non-epileptic seizures is comprised of Psychogenic non-epileptic seizures (PNES). PNES are paroxysmal events, which mimics epileptic seizures and pose a diagnostic challenge with epileptic seizures due to their clinical similarities. The diagnosis of PNES is done using video-electroencephalography (VEM) monitoring. VEM being a resource intensive process calls for alternative methods for detection of PNES...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226654/multi-channel-algorithms-for-epileptic-high-frequency-oscillation-detection
#15
Chen-Wei Chou, Chien Chen, Shang-Yeong Kwan, Shun-Chi Wu, Chen-Wei Chou, Chien Chen, Shang-Yeong Kwan, Shun-Chi Wu, Chien Chen, Chen-Wei Chou, Shun-Chi Wu, Shang-Yeong Kwan
Short-lasting rhythmic activity in intracranial electroencephalogram (iEEG) in the frequency range of 80 to 500 Hz is regarded to be a promising biomarker of epileptogenicity. This activity is referred to as high-frequency oscillation (HFO), and its detection from iEEG is considered the first step to several applications. In this study, several multi-channel algorithms for HFO detection are proposed. With the proposed multi-channel statistics and threshold determination scheme, the algorithms allow HFO detection to be performed without breaking the iEEG channel structure and the detection threshold to be determined automatically...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226627/a-novel-method-of-eeg-data-acquisition-feature-extraction-and-feature-space-creation-for-early-detection-of-epileptic-seizures
#16
Sylvia Bugeja, Lalit Garg, Eliazar E Audu, Sylvia Bugeja, Lalit Garg, Eliazar E Audu, Eliazar E Audu, Lalit Garg, Sylvia Bugeja
In this paper we describe a simple and very fast method of data acquisition, feature extraction and feature space creation for epileptic seizure detection. The scalp electroencephalogram (EEG) dataset [1, 2] collected at the Children's Hospital Boston from 22 pediatric patients having 192 intractable seizures (available as CHB-MIT database) is used to assess this simple approach against existing ones [1, 3], with very positive results reaching up to 99.48% Sensitivity.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226598/estimation-of-resting-state-effective-connectivity-in-epilepsy-using-direct-directed-transfer-function
#17
Biswajit Maharathi, Jeffrey A Loeb, James Patton, Biswajit Maharathi, Jeffrey A Loeb, James Patton, Biswajit Maharathi, James Patton, Jeffrey A Loeb
There has been an increasing demand among neuroscientists to understand the complex network of functionally connected neural assemblies in the human brain. For this purpose, computational EEG research is widely used by researchers due to its remarkable advantage in providing high temporal resolution, and ease of analysis across different frequency bands. Here we analyzed Electrocorticographic (ECoG) signals of electrodes placed on frontal-parietal neocortex brain region of 8 pediatric epileptic patients. In order to evaluate the directed causal relationship among different brain regions, we employed a Granger causality based multivariate connectivity estimator named direct Directed Transfer Function (dDTF) to identify signal propagations among the selected set of electrode in the frequency range 1-50Hz...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226450/identifying-epileptic-source-location-and-extent-an-iterative-sparse-electromagnetic-source-imaging-algorithm
#18
Abbas Sohrabpour, Yunfeng Lu, Gregory Worrell, Bin He, Abbas Sohrabpour, Yunfeng Lu, Gregory Worrell, Bin He, Abbas Sohrabpour, Yunfeng Lu, Gregory Worrell, Bin He
In this paper we have introduced a novel electromagnetic source imaging (ESI) technique and demonstrated its validity and excellent performance in imaging the location and extent of underlying epileptic sources in patients suffering from focal epilepsy. The proposed algorithm employs ideas from sparse signal processing literature and convex optimization theories to improve source imaging results obtained from scalp-recorded electroencephalogram (EEG). EEG source imaging results generally use subjective methods to determine the extent of the underlying brain activity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225164/effects-of-focal-brain-cooling-on-extracellular-concentrations-of-neurotransmitters-in-patients-with-epilepsy
#19
Sadahiro Nomura, Takao Inoue, Hirochika Imoto, Eiichi Suehiro, Yuichi Maruta, Yuya Hirayama, Michiyasu Suzuki
OBJECTIVE: Brain hypothermia controls epileptic discharge and reduces extracellular concentrations of glutamate (Glu), an excitatory neurotransmitter. We aimed to determine the effects of focal brain cooling (FBC) on levels of γ-aminobutyric acid (GABA), which is a major inhibitory neurotransmitter. The relationship between Glu or GABA concentrations and the severity of epileptic symptoms was also analyzed. METHODS: Patients with intractable epilepsy underwent FBC at lesionectomized (n = 11) or hippocampectomized (n = 8) regions at 15°C for 30 min using custom-made cooling devices...
February 22, 2017: Epilepsia
https://www.readbyqxmd.com/read/28223259/use-of-an-antiepileptic-drug-to-control-epileptic-seizures-associated-with-cranioplasty-a-randomised-controlled-trial
#20
Fei Chen, Yaqi Duan, Yongqin Li, Wenjie Han, Weilei Shi, Weiwei Zhang, Yonghua Huang
BACKGROUND: Epilepsy is a common complication of cranioplasty. The present study was designed to explore the clinical effect of prophylactic anti-epilepsy drugs (AED) to control epileptic seizures associated with cranioplasty. METHODS: and design: This trial was a prospective, randomized, open-label, single-centre, active controlled study designed to investigate the use of antiepileptic drug to control epileptic seizures associated with cranioplasty. We tested the necessity and methods of drug use...
February 18, 2017: International Journal of Surgery
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