scholarly journals Full Spectrum EEG Response to Eyes Open Versus Eyes Closed in Children and The Development of The Alpha Rhythm

2021 ◽  
Author(s):  
Joseph R. Isler ◽  
Nicolo Pini ◽  
Maristella Lucchini ◽  
Lauren C. Shuffrey ◽  
Santiago Morales ◽  
...  
Keyword(s):  
Electrode System ◽  
Full Spectrum ◽  
Eyes Closed ◽  
Sign Change ◽  
Eyes Open ◽  
Brain States ◽  
Eeg Power ◽  
The Difference ◽  
Open Versus ◽  
Electroencephalogram Eeg

Abstract This report examines spectrum-wide (1 to 100 Hz) differences in electroencephalogram (EEG) power between eyes open (EO) and eyes closed (EC) conditions in children. A high density (60 electrode) system was used to measure EEG power at 4, 5, 7, 9, and 11 years of age. Results showed spatial and frequency band differences as a function of age. Specifically, 1) the alpha peak shifts from 8 Hz at 4 years to 9 Hz at 11 years, 2) EC results in increased power at lower frequencies but decreased power at higher frequencies for all ages, 3) the sign change for the difference between EO and EC occurs in a narrow band of frequencies which changes across childhood, 4) at 4 and 5 years, EC increases lower frequency power most prominently over posterior regions; 5) in contrast, at all ages, EC decreases power above 30 Hz most prominently over anterior regions. These results extend previous findings to show EO/EC differences in higher frequencies and to the presence of developmental changes across childhood. This report demonstrates that the simple EO/EC task can provide important information about maturation of brain states and can be done with a very brief, minimal protocol.

scholarly journals Entropy as Measure of Brain Networks’ Complexity in Eyes Open and Closed Conditions

Symmetry ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2178
Author(s):  
Fabrizio Vecchio ◽  
Francesca Miraglia ◽  
Chiara Pappalettera ◽  
Alessandro Orticoni ◽  
Francesca Alù ◽  
...  
Keyword(s):  
Chaotic Behavior ◽  
Brain Networks ◽  
Approximate Entropy ◽  
Brain State ◽  
Eyes Closed ◽  
Eeg Data ◽  
Eyes Open ◽  
Brain States ◽  
System Disorder ◽  
Electroencephalogram Eeg

Brain complexity can be revealed even through a comparison between two trivial conditions, such as eyes open and eyes closed (EO and EC respectively) during resting. Electroencephalogram (EEG) has been widely used to investigate brain networks, and several non-linear approaches have been applied to investigate EO and EC signals modulation, both symmetric and not. Entropy is one of the approaches used to evaluate the system disorder. This study explores the differences in the EO and EC awake brain dynamics by measuring entropy. In particular, an approximate entropy (ApEn) was measured, focusing on the specific cerebral areas (frontal, central, parietal, occipital, temporal) on EEG data of 37 adult healthy subjects while resting. Each participant was submitted to an EO and an EC resting EEG recording in two separate sessions. The results showed that in the EO condition the cerebral networks of the subjects are characterized by higher values of entropy than in the EC condition. All the cerebral regions are subjected to this chaotic behavior, symmetrically in both hemispheres, proving the complexity of networks dynamics dependence from the subject brain state. Remarkable dynamics regarding cerebral networks during simple resting and awake brain states are shown by entropy. The application of this parameter can be also extended to neurological conditions, to establish and monitor personalized rehabilitation treatments.

An EEG power index (eyes open vs. eyes closed) to differentiate Alzheimer's from vascular dementia and healthy ageing

1996 ◽  
Vol 22 (3) ◽  
pp. 245-260 ◽  
Author(s):  
Mario Signorino ◽  
Enrico Brizioli ◽  
Loredana Amadio ◽  
Natascia Belardinelli ◽  
Eugenio Pucci ◽  
...  
Keyword(s):  
Vascular Dementia ◽  
Power Index ◽  
Healthy Ageing ◽  
Eyes Closed ◽  
Eyes Open ◽  
Eeg Power

scholarly journals Resting state connectivity differences in eyes open versus eyes closed conditions

2019 ◽  
Vol 40 (8) ◽  
pp. 2488-2498 ◽  
Author(s):  
Oktay Agcaoglu ◽  
Tony W. Wilson ◽  
Yu‐Ping Wang ◽  
Julia Stephen ◽  
Vince D. Calhoun
Keyword(s):  
Resting State ◽  
Eyes Closed ◽  
Eyes Open ◽  
Open Versus ◽  
Resting State Connectivity

scholarly journals Dynamic Resting-State Connectivity Differences in Eyes Open Versus Eyes Closed Conditions

2020 ◽  
Vol 10 (9) ◽  
pp. 504-519
Author(s):  
Oktay Agcaoglu ◽  
Tony W. Wilson ◽  
Yu-Ping Wang ◽  
Julia M. Stephen ◽  
Vince D. Calhoun
Keyword(s):  
Resting State ◽  
Eyes Closed ◽  
Eyes Open ◽  
Open Versus ◽  
Resting State Connectivity

scholarly journals Static Balance in Patients with Vestibular Impairments: A Preliminary Study

Scientifica ◽  
2016 ◽  
Vol 2016 ◽  
pp. 1-4 ◽  
Author(s):  
Hossein Talebi ◽  
Mohammad Taghi Karimi ◽  
Seyed Hamid Reza Abtahi ◽  
Niloofar Fereshtenejad
Keyword(s):  
Path Length ◽  
Center Of Pressure ◽  
Balance Control ◽  
Force Plate ◽  
Static Balance ◽  
Eyes Closed ◽  
Significant Difference ◽  
Eyes Open ◽  
Age Limits ◽  
The Difference

Aims. Vestibular system is indicated as one of the most important sensors responsible for static and dynamic postural control. In this study, we evaluated static balance in patients with unilateral vestibular impairments.Materials and Methods. We compared static balance control using Kistler force plate platform between 10 patients with unilateral vestibular impairments and 20 normal counterparts in the same sex ratio and age limits (50±7). We evaluated excursion and velocity of center of pressure (COP) and path length in anteroposterior (AP) and mediolateral (ML) planes with eyes open and with eyes closed.Results. There was no significant difference between COP excursions in ML and AP planes between both groups with eyes open and eyes closed (pvalue > 0.05). In contrast, the difference between velocity and path length of COP in the mentioned planes was significant between both groups with eyes open and eyes closed (pvalue < 0.05).Conclusions. The present study showed the static instability and balance of patients with vestibular impairments indicated by the abnormal characteristics of body balance.

scholarly journals On the Operational Utility of Measures of EEG Integrated Information

2021 ◽  
Author(s):  
David Darmon ◽  
Tomas Watanabe ◽  
Christopher Cellucci ◽  
Paul E Rapp
Keyword(s):  
Principal Component ◽  
Information Criterion ◽  
Model Order ◽  
Information Measures ◽  
Eyes Closed ◽  
Condition Effect ◽  
Eyes Open ◽  
Open Versus ◽  
Healthy Participants ◽  
Integrated Information

Multichannel EEGs were obtained from healthy participants in the eyes-closed no-task condition (where the alpha component is typically abolished). EEG dynamics in the two conditions were quantified with two related binary Lempel-Ziv measures of the first principal component and with three measures of integrated information including the more recently proposed integrated synergy. Both integrated information and integrated synergy with model order p=1 had greater values in the eyes closed condition. If the model order of integrated synergy was determined with the Bayesian Information Criterion, this pattern was reversed, and in common with other measures, integrated synergy was greater in the eyes open condition. Eyes open versus eyes closed separation was quantified by calculation of the between-condition effect size. Lempel-Ziv complexity of the first principal component showed greater separation than the measures of integrated information. The performance of the integrated information measures investigated here when distinguishing between indisputably different physiological states encourages caution when advocating for their use as measures of consciousness.

scholarly journals The differences in postural stability between cross-country and Alpine skiers with intellectual disabilities

2020 ◽  
Vol 22 (4) ◽  
Author(s):  
Marta Gimunová ◽  
Alena Skotáková ◽  
Vojtěch Grün ◽  
Kateřina Jenčíková_ ◽  
Leoš Daněk ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Everyday Life ◽  
Postural Stability ◽  
Sports Training ◽  
Eyes Closed ◽  
Eyes Open ◽  
Cross Country ◽  
The Difference ◽  
Alpine Skiers ◽  
One Way Anova

Purpose: The purpose of this study was to analyse differences in postural stability between athletes with ID competing in Alpine and Cross country (XC) skiing to assess the effect of special sports training on postural stability in persons with ID. Methods: Athletes with ID were divided into four groups by their discipline: Alpine skiers (n = 9), XC skiers 2.5 to 10 km (n = 10), XC skiers 500 to 1000 m (n = 18) and XC skiers 50 and 100 m (n = 10). All participants were asked to stand barefooted on the Zebris FDM platform (Medical GmbH, Germany) with their eyes open and closed. To compare differences between groups one-way ANOVA with Tukey HSD test was used. To compare the difference between the eyes open and closed, t-test was used. Results: Statistical analysis showed no significant differences between Alpine and XC skiers in analysed variables. The analysis of COP velocity showed superior postural stability in XC skiers 2.5 to 10 km compared to XC skiers 500 and 1000 m. In XC skiers 500 and 1000 m, XC skiers 2.5 to 10 km and Alpine skiers a significant increase in COP velocity was observed when having the eyes closed. In XC skiers 50 and 100 m, no statistically significant differences between the eyes open and closed conditions were observed. Conclusions: Despite different sports training, no difference between Alpine and XC skiers in postural stability was observed. When comparing XC skiers, better postural stability was observed in skiers running longer distances, suggesting that this sports training enhances balance skills needed in everyday life.

CAN WE MEASURE CONSCIOUSNESS WITH EEG COMPLEXITIES?

2003 ◽  
Vol 13 (03) ◽  
pp. 733-742 ◽  
Author(s):  
FANJI GU ◽  
XIN MENG ◽  
ENHUA SHEN ◽  
ZHIJIE CAI
Keyword(s):  
Mutual Information ◽  
Epileptic Seizures ◽  
Approximate Entropy ◽  
Deep Sleep ◽  
Complexity Measures ◽  
Eyes Closed ◽  
Significant Difference ◽  
Eyes Open ◽  
Brain States ◽  
Light Sleep

Several complexity measures, especially approximate entropy (ApEn) and a new defined complexity measure [Formula: see text], of EEG signals or the ones of the mutual information transmission between different channels of EEGs were calculated to distinguish different consciousness levels for different brain functional states. All of the measures decreased with the following order of brain states: rest with eyes open, eyes closed, light sleep and deep sleep. They decreased during epileptic seizures. On the contrary, the averaged mutual information between different channels increased significantly during the epileptic seizure; there is no significant difference among the averaged mutual information for the subject resting with eyes open, closed, being in light sleep and in deep sleep. Thus, the former indexes seem to be promising candidates to characterize different consciousness levels, while the latter seems not.

scholarly journals The Difference of Brain Functional Connectivity between Eyes-Closed and Eyes-Open Using Graph Theoretical Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Bo Tan ◽  
Xianxian Kong ◽  
Ping Yang ◽  
Zhenlan Jin ◽  
Ling Li
Keyword(s):  
Functional Connectivity ◽  
Alpha Band ◽  
Topological Parameters ◽  
Eyes Closed ◽  
Synchronization Likelihood ◽  
Functional Brain Networks ◽  
Eyes Open ◽  
The Difference ◽  
Path Lengths ◽  
Brain Functional Connectivity

To study the differences in functional brain networks between eyes-closed (EC) and eyes-open (EO) at resting state, electroencephalographic (EEG) activity was recorded in 21 normal adults during EC and EO states. The synchronization likelihood (SL) was applied to measure correlations between all pairwise EEG channels, and then the SL matrices were converted to graphs by thresholding. Graphs were measured by topological parameters in theta (4–7 Hz), alpha (8–13 Hz), and beta (14–30 Hz) bands. By changing from EC to EO states, mean cluster coefficients decreased in both theta and alpha bands, but mean shortest path lengths became shorter only in the alpha band. In addition, local efficiencies decreased in both theta and alpha bands, while global efficiencies in the alpha band increased inversely. Opening the eyes decreased both nodes and connections in frontal area in the theta band, and also decreased those in bilateral posterior areas in the alpha band. These results suggested that a combination of the SL and graph theory methods may be a useful tool for distinguishing states of EC and EO. The differences in functional connectivity between EC and EO states may reflect the difference of information communication in human brain.

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