Automatic reference selection for quantitative EEG interpretation: Identification of diffuse/localised activity and the active earlobe reference, iterative detection of the distribution of EEG rhythms

Wang, Bei; Wang, Xingyu; Ikeda, Akio; Nakagawa, Takashi; Shibasaki, Hiroshi; Nakamura, Masatoshi

doi:10.1016/j.medengphy.2013.10.002

Cited by 6 publications

(3 citation statements)

References 22 publications

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“…Selecting the proper EEG montage is quite significant for diagnosis as it reveals rhythm indicative of anomalies [25].…”

Section: Eeg Placement/montagesmentioning

confidence: 99%

Quantitative Analysis of EEG Slow Wave Activity Based on MinPeakProminence Method

Yildirim¹,

Koçer²,

Ekmekçi³

2021

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Persistent, unchanging, and non-reactive focal or generalized abnormal Slow Wave (SW) activities in an awake adult patient are examined pathologically. Although these waves in Electroencephalogram (EEG) are much less prominent than transient activities in some areas, it is not possible to understand them easily by looking at the EEG. For this reason, reliable computer programs that can sort out Slow Waves (SWs) correctly are needed. In this study, a new method based on MinPeakProminence that can detect abnormal SW activities was developed. To test the performance of the study, the data collected from Selcuk University Hospital (22 subjects - epilepsy and various neurological diseases) and Bonn Hospital (only normal A dataset) were used. Various statistical performance measurement methods were used to search the results. The results of this analysis revealed that the classification success, sensitivity and specificity values obtained with the SUH dataset were 96.5%, 93.3% and 96.1%, respectively. In the results of the experiments made with the Bonn dataset, 100% classification success was achieved. Besides, according to the analyses, it was found that SWs are frequently seen in the posterior regions of the brain, especially in the parietal and occipital regions in the SUH dataset.

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“…Selecting the proper EEG montage is quite significant for diagnosis as it reveals rhythm indicative of anomalies [25].…”

Section: Eeg Placement/montagesmentioning

confidence: 99%

Quantitative Analysis of EEG Slow Wave Activity Based on MinPeakProminence Method

Yildirim¹,

Koçer²,

Ekmekçi³

2021

View full text Add to dashboard Cite

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“…The important standardization of EEG studies have took place in 1958 when International Federation of Electroencephalography and Clinical Neurophysiology approved 10-20% system of electrodes placement offered by Canadian neurophysiologist Herbert Jasper [15]. However neither before nor after no consensus was found on the location of the reference electrode, which would be preferable for EEG recording on the scalp using monopolar montage [5,24,25,28,31].…”

Section: Introductionmentioning

confidence: 99%

“…Much later [31], the use of the following references was discussed: the vertex (Cz), the linked ear and linked mastoid electrodes, ipsilateral or contralateral ears, nose tip, bipolar reference electrodes, the averaged reference (AR), weighted AR, and the reference of source derivation. Each of them has its advantages and disadvantages and can cause various distortions in the topographic pattern of EEG potentials distribution.…”

Section: Introductionmentioning

confidence: 99%

Comparsion of Real EEG References with and Without Zero Potential According Resulting Topograthy Differencies

Kulaichev¹

2017

IJPBS

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Abstract:The problem to find an optimal EEG reference is the actual topic for discussion over 60 years. We have studied topographical differences in averaged EEG amplitudes of alpha domain recorded in 10-20 system during "eyes closed" test. These differences appeared due to the use of 13 reference schemes: top and bottom of the chin (Ch1, Ch2); nose (N); top and bottom of the neck (Nc1, Nc2); upper back (Bc); united electrodes at the base of the neck anteriorly and posteriorly (2Nc); united, ipsilateral, and individual ear electrodes (A12, Sym, A1, A2); vertex (Cz); and averaged reference (AR). Six experiments for each of the ten subjects were carried out with grounded and ungrounded states of three distant basic references Ch2, Bc, 2Nc. Pairwise comparisons of topographic consistency of 13 reference schemes were carried out on the proposed complex of three independent indicators with the evaluative criterion, followed by centroid-based clustering of the reference schemes and its discriminant verification. As a result, we have established: (1) that most coordinated topography is provided by the following reference electrodes -A12, Ch1, Ch2, Sym; (2) reference electrodes A1, Nc2, A2, Sh1, AR, Cz are characterized by individually varying topography, which may lead to contradictory conclusions obtained when they are used; (3) no significant reasons have been found for preferring the grounded (neutral) states of reference electrodes, that makes less important the search for or mathematical construct of an infinitely remote neutral reference electrode; (4) numerous distortions of EEG topography by reference electrode standardization technique (REST) raise serious doubts about its proclaimed advantages in EEG studies.

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Functional Connectivity and Quantitative EEG in Women with Alcohol Use Disorders: A Resting-State Study

et al. 2015

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This study was aimed at exploring the electroencephalographic features associated with alcohol use disorders (AUD) during a resting-state condition, by using quantitative EEG and Functional Connectivity analyses. In addition, we explored whether EEG functional connectivity is associated with trait impulsivity. Absolute and relative powers and Synchronization Likelihood (SL) as a measure of functional connectivity were analyzed in 15 AUD women and fifteen controls matched in age, gender and education. Correlation analysis between self-report impulsivity as measured by the Barratt impulsiveness Scale (BIS-11) and SL values of AUD patients were performed. Our results showed increased absolute and relative beta power in AUD patients compared to matched controls, and reduced functional connectivity in AUD patients predominantly in the beta and alpha bands. Impaired connectivity was distributed at fronto-central and occipito-parietal regions in the alpha band, and over the entire scalp in the beta band. We also found that impaired functional connectivity particularly in alpha band at fronto-central areas was negative correlated with non-planning dimension of impulsivity. These findings suggest that functional brain abnormalities are present in AUD patients and a disruption of resting-state EEG functional connectivity is associated with psychopathological traits of addictive behavior.

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Automatic reference selection for quantitative EEG interpretation: Identification of diffuse/localised activity and the active earlobe reference, iterative detection of the distribution of EEG rhythms

Cited by 6 publications

References 22 publications

Quantitative Analysis of EEG Slow Wave Activity Based on MinPeakProminence Method

Quantitative Analysis of EEG Slow Wave Activity Based on MinPeakProminence Method

Comparsion of Real EEG References with and Without Zero Potential According Resulting Topograthy Differencies

Functional Connectivity and Quantitative EEG in Women with Alcohol Use Disorders: A Resting-State Study

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