A machine‐learning approach for predicting impaired consciousness in absence epilepsy-Reference-Cited by-同舟云学术

A machine‐learning approach for predicting impaired consciousness in absence epilepsy

Published:2022-09-16 Issue:10 Volume:9 Page:1538-1550
ISSN:2328-9503
Container-title:Annals of Clinical and Translational Neurology
language:en
Short-container-title:Ann Clin Transl Neurol

Author:

Springer Max¹,Khalaf Aya¹²,Vincent Peter¹,Ryu Jun Hwan¹,Abukhadra Yasmina¹,Beniczky Sandor³⁴^ORCID,Glauser Tracy⁵⁶,Krestel Heinz¹⁷⁸,Blumenfeld Hal¹⁹¹⁰^ORCID

Affiliation:

1. Department of Neurology Yale University School of Medicine New Haven Connecticut USA

2. Biomedical Engineering and Systems, Faculty of Engineering Cairo University Giza Egypt

3. Department of Clinical Neuorophysiology Danish Epilepsy Center Dianalund Denmark

4. Aarhus University Hospital Aarhus Denmark

5. Division of Neurology Cincinnati Children's Hospital Medical Center Cincinnati Ohio USA

6. Department of Pediatrics University of Cincinnati College of Medicine Cincinnati Ohio USA

7. Epilepsy Center University Hospital Frankfurt Frankfurt Germany

8. Center for Personalized Translational Epilepsy Research (CePTER) Goethe University Frankfurt Germany

9. Department of Neuroscience Yale University School of Medicine New Haven Connecticut USA

10. Department of Neurosurgery Yale University School of Medicine New Haven Connecticut USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Neurology (clinical),General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acn3.51647

Reference27 articles.

1. THE ELECTRO-ENCEPHALOGRAM IN EPILEPSY AND IN CONDITIONS OF IMPAIRED CONSCIOUSNESS

2. Consciousness and epilepsy: why are patients with absence seizures absent?

3. AvoliM BiaginiG.ABSENCE SEIZURES|thalamocortical synchronization and absence epilepsy.2009:28–36.

4. Driving status of patients with generalized spike–wave on EEG but no clinical seizures

5. Patient-Validated Content of Epilepsy-Specific Quality-of-Life Measurement

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1. Understanding of Consciousness in Absence Seizures: A Literature Review;Neuropsychiatric Disease and Treatment;2024-06

2. Home recording of 3‐Hz spike–wave discharges in adults with absence epilepsy using the wearable Sensor Dot;Epilepsia;2023-12-11

3. Quantitative EEG analysis in typical absence seizures: unveiling spectral dynamics and entropy patterns;Frontiers in Human Neuroscience;2023-10-17

4. Neurophysiological signatures reflect differences in visual attention during absence seizures;Clinical Neurophysiology;2023-08