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408
Research Article The Difference of Brain Functional Connectivity between Eyes-Closed and Eyes-Open Using Graph Theoretical Analysis
"... permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. To study the differences in functional brain networks between eyes-closed (EC) and eyes-open (EO) at resting state, electro-encephalographic (EEG) activity was recorded in 21 normal ..."
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permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. To study the differences in functional brain networks between eyes-closed (EC) and eyes-open (EO) at resting state, electro-encephalographic (EEG) activity was recorded in 21 normal
Eye closure in darkness animates sensory systems
, 2003
"... Single subject and group analyses (n = 12) showed that the eyes-open and eyes-closed states in complete darkness considerably and consistently differ in the patterns of associated brain activation in fMRI. During nonchanging external stimulation, ocular motor and attentional systems were activated w ..."
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Cited by 5 (0 self)
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Single subject and group analyses (n = 12) showed that the eyes-open and eyes-closed states in complete darkness considerably and consistently differ in the patterns of associated brain activation in fMRI. During nonchanging external stimulation, ocular motor and attentional systems were activated
RESEARCH ARTICLE Detecting Static and Dynamic Differences between Eyes-Closed and Eyes-Open Resting States Using ASL and BOLD fMRI
"... ☯ These authors contributed equally to this work. ..."
Eye closure in darkness animates sensory systems
, 2003
"... Single subject and group analyses (n � 12) showed that the eyes-open and eyes-closed states in complete darkness considerably and consistently differ in the patterns of associated brain activation in fMRI. During nonchanging external stimulation, ocular motor and attentional systems were activated w ..."
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Cited by 1 (0 self)
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Single subject and group analyses (n � 12) showed that the eyes-open and eyes-closed states in complete darkness considerably and consistently differ in the patterns of associated brain activation in fMRI. During nonchanging external stimulation, ocular motor and attentional systems were activated
RESEARCH ARTICLE Investigating the Temporal Patterns within and between Intrinsic Connectivity Networks under Eyes-Open and Eyes-Closed Resting States: A Dynamical Functional Connectivity Study Based on Phase Synchronization
"... The brain active patterns were organized differently under resting states of eyes open (EO) and eyes closed (EC). The altered voxel-wise and regional-wise resting state active pat-terns under EO/EC were found by static analysis. More importantly, dynamical spontaneous functional connectivity has bee ..."
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The brain active patterns were organized differently under resting states of eyes open (EO) and eyes closed (EC). The altered voxel-wise and regional-wise resting state active pat-terns under EO/EC were found by static analysis. More importantly, dynamical spontaneous functional connectivity has
which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Quantitative Electroencephalography Reflects Inattention, Visual Error Responses, and Reaction Times in Male Patient
, 2014
"... Objective: Quantitative electroencephalography (qEEG) has been increasingly used to evaluate patients with attention deficit hyperactivity disorder (ADHD). The aim of this study was to assess the correlation between qEEG data and symptom severity in patients with ADHD. Methods: Fifteen patients with ..."
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with ADHD and 20 healthy controls (HCs) were recruited. Electroencephalography was assessed in the resting-state, and qEEG data were obtained in the eyes-closed state. The Korean version of the ADHD Rating Scale (K-ARS) and continuous performance tests (CPTs) were used to assess all participants. Results
Functional Brain Imaging Unit, Souraski Medical Center
"... The need to infer brain states in a data driven approach is crucial for BCI applications as well as for neuroscience research. In this work we present a novel classification framework based on Regularized Linear Regression classifier constructed from time-frequency decomposition of an EEG (Electro-E ..."
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was trained to infer eyes opened or eyes closed states and achieved higher than 90 % classification accuracy. Furthermore, our findings reveal interesting patterns of relations between experimental conditions, EEG frequencies, regularization parameters and classifier choice. This viable tool enables
Resting-State Network Disruption and APOE Genotype in Alzheimer’s Disease: A lagged Functional Connectivity Study
"... Background: The apolipoprotein E epsilon 4 (APOE-4) is associated with a genetic vulnerability to Alzheimer’s disease (AD) and with AD-related abnormalities in cortical rhythms. However, it is unclear whether APOE-4 is linked to a specific pattern of intrinsic functional disintegration of the brain ..."
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’’. Methodology/Principal Findings: Resting EEG was recorded during awake, eyes-closed state in 125 patients with AD and 60 elderly controls. Source current density and functional connectivity were determined using eLORETA. Patients with AD exhibited reduced parieto-occipital alpha oscillations compared
Schizophrenia Startle Reaction
"... Previous studies have shown alterations of eyeblink reflex in patients with various psychiatric disorders. It has previously been demonstrated by our group that EEG measures of the reactivity to eye opening could effectively predict patient-reported startle response in patients with acute stress rea ..."
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eyes-open and eyes-closed states as representative of "EEG reactivity to eye opening, " Data was analyzed separately for each diagnos-tic group. For all of the disorders, right-sided R2c (contralateral secondary component) latency was the single eyeblink startle measure that was found
Automatic Eye State Recognition and Closed-eye Photo Correction
"... In this paper, we present an approach for eye state recognition and closed-eye photo correction. For eye state recognition, AdaBoosted cascade open-eye detectors of different scales are trained. For closedeye photo correction, a PCA generative model of concatenated corresponding closed-eye and open- ..."
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In this paper, we present an approach for eye state recognition and closed-eye photo correction. For eye state recognition, AdaBoosted cascade open-eye detectors of different scales are trained. For closedeye photo correction, a PCA generative model of concatenated corresponding closed-eye and open-eye
Results 1 - 10
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408