Detection of Tonic-Clonic Seizures using Wavelet Entropy of Scalp EEG

2021 ◽  
Author(s):  
Joseph Mathew ◽  
Subha Ramakrishnan Manuskandan ◽  
N. Sivakumaran ◽  
P.A. Karthick
Keyword(s):  
Wavelet Entropy ◽  
Scalp Eeg ◽  
Clonic Seizures

Neurophysiological seizure-onset predictors of epilepsy surgery outcome: a multivariable analysis

2020 ◽  
Vol 133 (6) ◽  
pp. 1863-1872 ◽  
Author(s):  
Hideaki Tanaka ◽  
Jean Gotman ◽  
Hui Ming Khoo ◽  
André Olivier ◽  
Jeffery Hall ◽  
...  
Keyword(s):  
Surgical Outcome ◽  
Focal Epilepsy ◽  
Univariate Analysis ◽  
Multivariable Analysis ◽  
Postoperative Outcome ◽  
Seizure Onset ◽  
Resective Surgery ◽  
Scalp Eeg ◽  
Surgery Outcome ◽  
Intracerebral Eeg

OBJECTIVEThe authors sought to determine which neurophysiological seizure-onset features seen during scalp electroencephalography (EEG) and intracerebral EEG (iEEG) monitoring are predictors of postoperative outcome in a large series of patients with drug-resistant focal epilepsy who underwent resective surgery.METHODSThe authors retrospectively analyzed the records of 75 consecutive patients with focal epilepsy, who first underwent scalp EEG and then iEEG (stereo-EEG) for presurgical assessment and who went on to undergo resective surgery between 2004 and 2015. To determine the independent prognostic factors from the neurophysiological scalp EEG and iEEG seizure-onset information, univariate and standard multivariable logistic regression analyses were used. Since scalp EEG and iEEG data were recorded at different times, the authors matched scalp seizures with intracerebral seizures for each patient using strict criteria.RESULTSA total of 3057 seizures were assessed. Forty-eight percent (36/75) of patients had a favorable outcome (Engel class I–II) after a minimum follow-up of at least 1 year. According to univariate analysis, a localized scalp EEG seizure onset (p < 0.001), a multilobar intracerebral seizure-onset zone (SOZ) (p < 0.001), and an extended SOZ (p = 0.001) were significantly associated with surgical outcome. According to multivariable analysis, the following two independent factors were found: 1) the ability of scalp EEG to localize the seizure onset was a predictor of a favorable postoperative outcome (OR 6.073, 95% CI 2.011–18.339, p = 0.001), and 2) a multilobar SOZ was a predictor of an unfavorable outcome (OR 0.076, 95% CI 0.009–0.663, p = 0.020).CONCLUSIONSThe study findings show that localization at scalp seizure onset and a multilobar SOZ were strong predictors of surgical outcome. These predictors can help to select the better candidates for resective surgery.

Effect of Levetiracetam on Cognitive Function and Clonic Seizure Frequency in Children with Epilepsy

2019 ◽  
Vol 19 (9) ◽  
pp. 699-703
Author(s):  
Shihao Zhou ◽  
Qiong Zhan ◽  
Xiaomei Wu
Keyword(s):  
Cognitive Function ◽  
Effective Rate ◽  
Clonic Seizure ◽  
Conventional Group ◽  
Significant Difference ◽  
Random Number Table ◽  
Clonic Seizures ◽  
The Difference ◽  
Experimental Group ◽  
Executive Ability

Background: This study aimed to explore the clinical effect of levetiracetam in the treatment of children with epilepsy. Methods: 136 children with epilepsy were selected from January 2017 to December 2017. According to the random number table method, they were divided into the experimental group and the conventional group, with 68 cases in each group. The conventional group was treated with valproate, while the experimental group was treated with levetiracetam. The effective rate, the cognitive function and the frequency of clonic seizures in the two groups were compared. Results: There was no significant difference in the total effective rate between the two groups (P>0.05). There was no significant difference in attention, executive ability, abstract and orientation scores between the two groups before treatment (P>0.05). After treatment, the focus of attention (106.54±6.56), executive ability (105.76±6.77), abstract and directional score (106.65±6.57) were significantly higher than that of the conventional group. The difference in the two groups was statistically significant (P<0.05). After 3 months of treatment, the frequency of myoclonic seizures (9.22±0.95) and the frequency of tonic-clonic seizures (11.68±1.36) were found to be significantly lower than those of the conventional group, and the difference between the two groups was statistically significant (P<0.05). Conclusion: Levetiracetam is effective in the treatment of children with epilepsy. It can effectively improve the cognitive function of the patients, reduce the frequency of myoclonic seizures and tonic-clonic seizures, and has a high promotion value.

Detection of Unilateral Hearing Loss by Stationary Wavelet Entropy

2017 ◽  
Vol 16 (2) ◽  
pp. 122-128 ◽  
Author(s):  
Yudong Zhang ◽  
Deepak Nayak ◽  
Ming Yang ◽  
Ti-Fei Yuan ◽  
Bin Liu ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Unilateral Hearing Loss ◽  
Wavelet Entropy

Tonic-clonic seizures as first symptom of a disseminated supraglottic laryngeal cancer

2020 ◽  
Vol 13 (3) ◽  
pp. e233584
Author(s):  
Christian Danstrup ◽  
Maria Andersen
Keyword(s):  
Lymph Node ◽  
Laryngeal Cancer ◽  
Primary Tumour ◽  
Duodenal Mucosa ◽  
Cervical Lymph Nodes ◽  
Sagittal Sinus ◽  
Whole Brain Radiation ◽  
Positron Emission ◽  
Node Metastases ◽  
Clonic Seizures

A 60-year-old man was found unconscious at work, without any signs of trauma. At the site, he presented with tonic-clonic seizures, central facial palsy and eye deviation. A CT scan of the cerebrum did not find bleeding or thrombosis, but contrast enhancement at the superior sagittal sinus and pathological cervical lymph nodes. The MRI demonstrated multiple intracerebral metastases, while a supplementary fluoro-deoxy-glucose positron emission tomography scan revealed metastatic lesions above and below the diaphragm, without signs of a primary tumour. An ear, nose and throat examination found a small supraglottic tumour and cervical lymph node metastases. Following a multidisciplinary team discussion, biopsies from the duodenal mucosa and an inguinal lymph node were performed, showing squamous cell carcinoma with its origin in the head and neck. The patient was diagnosed with a T1N2cM1 supraglottic laryngeal cancer, receiving palliative whole brain radiation therapy but died 11 weeks after the debut of symptoms.

scholarly journals Neural silences can be localized rapidly using noninvasive scalp EEG

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Alireza Chamanzar ◽  
Marlene Behrmann ◽  
Pulkit Grover
Keyword(s):  
Center Of Mass ◽  
Cost Effective ◽  
Human Head ◽  
Head Model ◽  
Cortical Function ◽  
Scalp Eeg ◽  
Localization Algorithms ◽  
Important Benefit ◽  
Eeg Recordings ◽  
Detection And Localization

AbstractA rapid and cost-effective noninvasive tool to detect and characterize neural silences can be of important benefit in diagnosing and treating many disorders. We propose an algorithm, SilenceMap, for uncovering the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. By accounting for the contributions of different sources to the power of the recorded signals, and using a hemispheric baseline approach and a convex spectral clustering framework, SilenceMap permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data. SilenceMap substantially outperformed existing source localization algorithms in estimating the center-of-mass of the silence for three pediatric cortical resection patients, using fewer than 3 minutes of EEG recordings (13, 2, and 11mm vs. 25, 62, and 53 mm), as well for 100 different simulated regions of silence based on a real human head model (12 ± 0.7 mm vs. 54 ± 2.2 mm). SilenceMap paves the way towards accessible early diagnosis and continuous monitoring of altered physiological properties of human cortical function.

scholarly journals Zero-crossing patterns reveal subtle epileptiform discharges in the scalp EEG

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jan Pyrzowski ◽  
Jean- Eudes Le Douget ◽  
Amal Fouad ◽  
Mariusz Siemiński ◽  
Joanna Jędrzejczak ◽  
...  
Keyword(s):  
Normal Subjects ◽  
Intracranial Eeg ◽  
Zero Crossing ◽  
Temporal Precision ◽  
Scalp Eeg ◽  
Epileptiform Discharges ◽  
Interictal Epileptiform Discharges ◽  
Eeg Recordings ◽  
Patients With Epilepsy ◽  
Low Amplitude

AbstractClinical diagnosis of epilepsy depends heavily on the detection of interictal epileptiform discharges (IEDs) from scalp electroencephalographic (EEG) signals, which by purely visual means is far from straightforward. Here, we introduce a simple signal analysis procedure based on scalp EEG zero-crossing patterns which can extract the spatiotemporal structure of scalp voltage fluctuations. We analyzed simultaneous scalp and intracranial EEG recordings from patients with pharmacoresistant temporal lobe epilepsy. Our data show that a large proportion of intracranial IEDs manifest only as subtle, low-amplitude waveforms below scalp EEG background and could, therefore, not be detected visually. We found that scalp zero-crossing patterns allow detection of these intracranial IEDs on a single-trial level with millisecond temporal precision and including some mesial temporal discharges that do not propagate to the neocortex. Applied to an independent dataset, our method discriminated accurately between patients with epilepsy and normal subjects, confirming its practical applicability.

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