Results 41 to 50 of about 141,484 (301)
Electroencephalography as a diagnostic technique for canine neurological diseases
Electroencephalography (EEG) is a non-invasive examination method for the assessment of functional central nervous system (CNS) disturbances. In human medicine it has a special importance as a diagnostic tool for epilepsy. Although many studies were done
Wrzosek Marcin
doaj +1 more source
Online home appliance control using EEG-Based brain-computer interfaces [PDF]
Brain???computer interfaces (BCIs) allow patients with paralysis to control external devices by mental commands. Recent advances in home automation and the Internet of things may extend the horizon of BCI applications into daily living environments at ...
Cho, Jeongho +5 more
core +1 more source
Implanted rechargeable electroencephalography (EEG) device
Electroencephalography (EEG) and deep brain stimulation (DBS), as specific instrument and tool, respectively, for reading and changing the electrical activities of the human brain, are milestones in the history of neuroscience and brain research. Although scientists have gone very far in exploring the brain, the mechanisms of many neurological diseases
Xing Qian +5 more
openaire +1 more source
Writing and Reporting of Scalp Electroencephalography
Electroencephalography (EEG) is the gold standard for analyzing electrophysiological processes involved in epilepsy, as well as in several other dysfunctions of the central nervous system.
Onur YILDIZ +2 more
doaj +1 more source
Under-sampling in epilepsy: Limitations of conventional EEG
The cyclical structure of epilepsy was recently (re)-discovered through years-long intracranial electroencephalography (EEG) obtained with implanted devices.
Maxime O. Baud +2 more
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Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
Inverse Modeling for MEG/EEG data
We provide an overview of the state-of-the-art for mathematical methods that are used to reconstruct brain activity from neurophysiological data. After a brief introduction on the mathematics of the forward problem, we discuss standard and recently ...
A Doucet +40 more
core +1 more source
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source
Electroencephalography (EEG) and Unconsciousness
The commonest and simplest operational definition of consciousness is, the state of the patient’s awareness of self and environment and his responsiveness to external stimulation and inner need. Therefore, unconsciousness has the opposite meaning, that is, a state of unawareness of self and environment or a suspension of those mental activities by ...
Wu, Dongyu, Yuan, Ying
openaire +4 more sources
ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu +5 more
wiley +1 more source

