EEG in adults in the laboratory or at the patient's bedside

Rosenberg, Sarah; Périn, Bertille; Michel, Véronique; Debs, Rachel; Navarro, Vincent; Convers, Philippe

doi:10.1016/j.neucli.2014.11.001

Cited by 10 publications

(7 citation statements)

References 158 publications

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“…Their relative power was found to be specific of different tasks [60], levels of consciousness [42] and pathologies [36]. Since its onset, encephalitis mainly shows slow focal or diffused electrical activity often associated with other various anomalies, including epileptiform anomalies (e.g., periodic discharges) [4,41,48,49]. Moreover, EEG rhythms have been recently used for the diagnosis of encephalopathy [27], showing a larger relative contribution of slow waves (with significant increase of delta and decrease of alpha and beta rhythms).…”

Section: Introductionmentioning

confidence: 99%

Automated diagnosis of encephalitis in pediatric patients using EEG rhythms and slow biphasic complexes

2020

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Slow biphasic complexes (SBC) have been identified in the EEG of patients suffering for inflammatory brain diseases. Their amplitude, location and frequency of appearance were found to correlate with the severity of encephalitis. Other characteristics of SBCs and of EEG traces of patients could reflect the grade of pathology. Here, EEG rhythms are investigated together with SBCs for a better characterization of encephalitis. EEGs have been acquired from pediatric patients: ten controls and ten encephalitic patients. They were split by neurologists into five classes of different severity of the pathology. The relative power of EEG rhythms was found to change significantly in EEGs labeled with different severity scores. Moreover, a significant variation was found in the last seconds before the appearance of an SBC. This information and quantitative indexes characterizing the SBCs were used to build a binary classification decision tree able to identify the classes of severity. True classification rate of the best model was 76.1% (73.5% with leave-one-out test). Moreover, the classification errors were among classes with similar severity scores (precision higher than 80% was achieved considering three instead of five classes). Our classification method may be a promising supporting tool for clinicians to diagnose, assess and make the follow-up of patients with encephalitis.

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Section: Introductionmentioning

confidence: 99%

Automated diagnosis of encephalitis in pediatric patients using EEG rhythms and slow biphasic complexes

2020

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“…The EEG was taken with the NeoFax device (Nihonkohden Co., Japan), a bipolar 10/20 equipment with 23 electrodes [17]. The same neurologist interpreted the EEG, according to the types and frequencies of different brain waves.…”

Section: Methodsmentioning

confidence: 99%

“…The electroencephalography (EEG) is an extremely beneficial, non-invasive and relatively inexpensive method to investigate the damage to the level of consciousness, the confusion scenarios, acute and sub-acute cognitive problems, which is considered as an irreplaceable procedure in the diagnosis and management of cerebral cortex disorders [17]. The methods of EEG signal coupling and synchronization can also play a key role in evaluating and diagnosing patients with mild cognitive impairment (MCI) [18].…”

Section: Introductionmentioning

confidence: 99%

Effect of valerian on cognitive disorders and electroencephalography in hemodialysis patients: a randomized, cross over, double-blind clinical trial

et al. 2018

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BackgroundThe prevalence of cognitive disorders in hemodialysis patients is twice as high as the general population, while these disorders often are undiagnosed. Timely prevention and treatment can improve their personal and social functions. Aim of study was determined the effect of Valerian on cognitive disorders and electroencephalography (EGG) in hemodialysis patients.MethodsThis crossover, double-blind clinical trial was conducted on 39 hemodialysis patients. The patients were randomly divided into two groups. Group A (n = 19) took Valerian capsules and Group B (n = 20) received placebo capsules 60 min before bedtime for one month. The type of treatment was replaced between the two groups after a one-month wash-out. The Mini Mental State Examination (MMSE) questionnaire was completed and EGG was performed before and after intervention in both periods.ResultsThe cognitive scores of the Group valerian were increased significantly in the first (p = 0.003) and the second (p = 0.005) periods. In addition, the mean increase in the cognitive scores in the Group valerian was significant in the first (p = 0.028) and the second periods (p = 0.030). However, the changes in EGG showed no significant difference before and after intervention in two groups.ConclusionThe findings of this study indicated that valerian could be effective and significantly improve patients’ cognitive status; however, no significant changes were observed in the electroencephalography of the hemodialysis patients.Trial registrationIRCT201606076318N7–2016-06-17.

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“…EEG will be essential for studying the unique risks of deep space on the CNS. On Earth, EEG can highlight abnormal brain activity due to epilepsy, head injury, stroke, or even brain tumors [ 24 , 25 , 26 , 27 ]. The “NEUROSPAT” project has demonstrated the potential of this technology on the ISS ( Figure 1 ).…”

Section: Monitoring Technologies Adaptable To Spaceflightmentioning

confidence: 99%

“…It has confirmed changes in visuo-attentional activity, visuospatial performance, brain activity, and effects of space travel on sleep quantity [ 28 , 29 , 30 , 31 ]. EEG has also been used in space to measure changes in neurocognitive performance and brain activity that result from exposure to microgravity and isolation [ 27 ]. Changes in activity are commonly identified in the faster EEG frequencies (alpha and beta).…”

Section: Monitoring Technologies Adaptable To Spaceflightmentioning

confidence: 99%

Monitoring the Impact of Spaceflight on the Human Brain

Dinatolo

Cohen

2022

Life

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Extended exposure to radiation, microgravity, and isolation during space exploration has significant physiological, structural, and psychosocial effects on astronauts, and particularly their central nervous system. To date, the use of brain monitoring techniques adopted on Earth in pre/post-spaceflight experimental protocols has proven to be valuable for investigating the effects of space travel on the brain. However, future (longer) deep space travel would require some brain function monitoring equipment to be also available for evaluating and monitoring brain health during spaceflight. Here, we describe the impact of spaceflight on the brain, the basic principles behind six brain function analysis technologies, their current use associated with spaceflight, and their potential for utilization during deep space exploration. We suggest that, while the use of magnetic resonance imaging (MRI), positron emission tomography (PET), and computerized tomography (CT) is limited to analog and pre/post-spaceflight studies on Earth, electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and ultrasound are good candidates to be adapted for utilization in the context of deep space exploration.

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EEG in adults in the laboratory or at the patient's bedside

Cited by 10 publications

References 158 publications

Automated diagnosis of encephalitis in pediatric patients using EEG rhythms and slow biphasic complexes

Automated diagnosis of encephalitis in pediatric patients using EEG rhythms and slow biphasic complexes

Effect of valerian on cognitive disorders and electroencephalography in hemodialysis patients: a randomized, cross over, double-blind clinical trial

Monitoring the Impact of Spaceflight on the Human Brain

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