Results 41 to 50 of about 151,138 (275)
Characteristic features of electroencephalogram in a pediatric patient with GRIN1 encephalopathy
Background: The number of reports on GRIN1 variants associated with neurodevelopmental phenotypes has increased in recent years. However, there are only two detailed reports on electroencephalography findings. Case study: We had a case with severe global
Naohiro Yamamoto +5 more
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Beyond broadband: Towards a spectral decomposition of electroencephalography microstates
Originally applied to alpha oscillations in the 1970s, microstate (MS) analysis has since been used to decompose mainly broadband electroencephalogram (EEG) signals (e.g., 1–40 Hz).
V. Férat, M. Seeber, C. Michel, T. Ros
semanticscholar +1 more source
Measurement(s) Electroencephalography Technology Type(s) electroencephalography (EEG) Factor Type(s) Cued colour (black, white) • Cued flicker frequency (6.0 Hz, 7.5 Hz) • Distractor (present, absent) Sample Characteristic - Organism Homo sapiens Sample ...
Angela I. Renton +2 more
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Electroencephalography in young onset dementia
Background Young onset dementia (YOD) is a major diagnostic and management problem. Methods We set out to explore if electroencephalography (EEG) might be useful in the diagnosis of young onset Alzheimer’s disease (YOAD) and young onset frontotemporal ...
Casey W Brown +2 more
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Quantifying Auditory Presence Using Electroencephalography
Presence is used to assess the subjective experience of being in one place when physically situated in another. Recently, the research on presence has gained increasing attention due to the wide use of immersive audio technologies.
Shufeng Zhang, Xuelei Feng, Yong Shen
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Clinical Applications of Electroencephalogram in Children
Introduction: To obtain a baseline for clinical application of Electroencephalography in children and to evaluate the Electroencephalography findings in children with various acute and chronic CNS disorders and non epileptic events.Methods ...
Wael Khreisat
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Compared to the abilities of the animal brain, many Artificial Intelligence systems have limitations which emphasise the need for a Brain-Inspired Artificial Intelligence paradigm. This paper proposes a novel Brain-Inspired Spiking Neural Network (BI-SNN)
Kaushalya Kumarasinghe +2 more
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Predictive power of abnormal electroencephalogram for post-cerebral infarction depression
Electroencephalography is a sensitive indicator for measuring brain condition, and can reflect early changes in brain function and severity of cerebral ischemia.
Yan-ping Zheng +8 more
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How does the human brain support real-world learning? We used wireless electroencephalography to collect neurophysiological data from a group of 12 senior high school students and their teacher during regular biology lessons.
Dana Bevilacqua +7 more
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Importance Intraoperative electroencephalogram (EEG) waveform suppression, often suggesting excessive general anesthesia, has been associated with postoperative delirium.
T. Wildes +23 more
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