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Digital electroencephalography and long-term video electroencephalography
The Egyptian Journal of Internal Medicine, 2012 EEG is the name commonly used for electroencephalography. EEG is an important test for diagnosing epilepsy. Conventional EEG has relatively low sensitivity in epilepsy, ranging between 25-56%. The combination of wake and sleep records gives a yield of 80%
Ayat Allah Farouk
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Current Biology, 2019 Electroencephalography (EEG) is the non-invasive measurement of the brain's electric fields. Electrodes placed on the scalp record voltage potentials resulting from current flow in and around neurons. EEG is nearly a century old: this long history has afforded EEG a rich and diverse spectrum of applications.
Biasiucci A, Franceschiello B, Murray MM
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Effects of Perampanel on Electroencephalography [PDF]
Archives of EpilepsyObjective: Perampanel (PER), a noncompetitive α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor antagonist, has been approved as adjunctive therapy for focal and generalized epilepsy.
İrem Erkent, Candan Gürses
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Electroencephalography: electrode arrays in dogs
Frontiers in Veterinary ScienceElectroencephalography (EEG) is the gold standard for confirming epileptic seizures in both human and veterinary patients. Despite idiopathic epilepsy being one of the most common neurological conditions in dogs, our understanding of it in veterinary ...
Miguel A. Cortez +2 more
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Electroencephalography source localization [PDF]
Clinical and Experimental Pediatrics, 2023 Electroencephalography (EEG) has been and is still widely used in brain function research. EEG has advantages over other neuroimaging modalities. First, it not only directly images the electrical activity of neurons; it has a higher temporal resolution ...
Tae-Hoon Eom
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Continuous heart rate variability and electroencephalography monitoring in severe acute brain injury: a preliminary study [PDF]
Acute and Critical Care, 2021 Background Decreases in heart rate variability have been shown to be associated with poor outcomes in severe acute brain injury. However, it is unknown whether the changes in heart rate variability precede neurological deterioration in such patients.
Hyunjo Lee +2 more
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Considerate motion imagination classification method using deep learning.
PLoS ONE, 2022 In order to improve the classification accuracy of motion imagination, a considerate motion imagination classification method using deep learning is proposed.
Zhaokun Yan, Xiangquan Yang, Yu Jin
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The Future of Neuroscience: Flexible and Wireless Implantable Neural Electronics
Advanced Science, 2021 Neurological diseases are a prevalent cause of global mortality and are of growing concern when considering an ageing global population. Traditional treatments are accompanied by serious side effects including repeated treatment sessions, invasive ...
Eve McGlynn +6 more
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Sleep Science, 2013 This study provides validation of the Children Sleep Habits Questionnaire (CSHQ) and the Sleep Self Report (SSR) for Portuguese children, using community and clinical samples.
Helena Cristina Loureiro +4 more
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Brain Sciences, 2022 Repetitive peripheral magnetic stimulation is a novel non-invasive technique for applying repetitive magnetic stimulation to the peripheral nerves and muscles. Contrarily, a person imagines that he/she is exercising during motor imagery.
Shun Sawai +7 more
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