Results 1 to 10 of about 3,358 (180)
Dense array EEG (dEEG) source estimation in neocortical epilepsy [PDF]
Frontiers in Neurology, 2013 Rationale : Dense array EEG (dEEG) evenly covers the whole head surface with over 100 channels contributing to more accurate electrical source imaging due to the higher spatial and temporal resolution.
Madoka eYamazaki +6 more
doaj +7 more sources
"Corrigendum: Dense array EEG source estimation in neocortical epilepsy." [PDF]
Frontiers in Neurology, 2013 [This corrects the article on p. 42 in vol. 4, PMID: 23717298.].
Madoka eYamazaki +6 more
doaj +7 more sources
Influence of dense‐array EEG cap on fMRI signal [PDF]
Magnetic Resonance in Medicine, 2012 AbstractDense‐array (>64 channel) electroencephalography (EEG) systems are increasingly being used in simultaneous EEG–functional magnetic resonance imaging (fMRI) studies. However, with increasing channel count, dense‐array EEG caps can induce more severe signal dropout in the MRI images than conventional systems due to the radiofrequency shielding
Gary Glover, Qingfei Luo
exaly +7 more sources
EEG source connectivity analysis: from dense array recordings to brain networks. [PDF]
PLoS ONE, 2014 The recent past years have seen a noticeable increase of interest for electroencephalography (EEG) to analyze functional connectivity through brain sources reconstructed from scalp signals.
Mahmoud Hassan +4 more
doaj +8 more sources
Statistical control of artifacts in dense array EEG/MEG studies [PDF]
Psychophysiology, 2000 With the advent of dense sensor arrays (64–256 channels) in electroencephalography and magnetoencephalography studies, the probability increases that some recording channels are contaminated by artifact. If all channels are required to be artifact free, the number of acceptable trials may be unacceptably low. Precise artifact screening is necessary for
Don Tucker +2 more
exaly +6 more sources
COMPLEXITY QUANTIFICATION OF DENSE ARRAY EEG USING SAMPLE ENTROPY ANALYSIS [PDF]
Journal of Integrative Neuroscience, 2004 In this paper, a time series complexity analysis of dense array electroencephalogram signals is carried out using the recently introduced Sample Entropy (SampEn) measure. This statistic quantifies the regularity in signals recorded from systems that can vary from the purely deterministic to purely stochastic realm.
V P N Nampoori
exaly +4 more sources
Dense Array EEG & Epilepsy [PDF]
, 2011 Electroencephalographic (EEG) signals derive from the action of neuronal activity in the cerebral cortex, through the action of synchronously occurring post-synaptic potentials of neuronal masses (De Munck et al., 1992). Forming reciprocal combinations of interacting excitatory and inhibitory populations, these neuronal masses are believed to be the ...
Mark D., Mark D. Holmes
exaly +4 more sources
Integrating dense array EEG in the presurgical evaluation of temporal lobe epilepsy. [PDF]
ISRN Neurol, 2012 Purpose. To evaluate the clinical utility of dense array electroencephalography (dEEG) for detecting and localizing interictal spikes in temporal lobe epilepsy. Methods. Simultaneous invasive and noninvasive recordings were performed across two different groups.
Yamazaki M +4 more
europepmc +4 more sources
Certainty-Based Reduced Sparse Solution for Dense Array EEG Source Localization [PDF]
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019 IEEE Transactions on Neural Systems & Rehabilitation Engineering ...
Teja Mannepalli, Aurobinda Routray
exaly +4 more sources
Sensors, 2023 In this paper, we present a comprehensive assessment of individuals’ mental engagement states during manual and autonomous driving scenarios using a driving simulator.
Taraneh Aminosharieh Najafi +3 more
doaj +1 more source