2014
DOI: 10.1016/j.clinph.2013.06.015
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Group Independent Component Analysis (gICA) and Current Source Density (CSD) in the study of EEG in ADHD adults

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Cited by 73 publications
(78 citation statements)
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“…For artifact correction and preprocessing, WinEEG software was used (http://www.mitsar-medical.com/ support/faqs.html). Artifact-contami-nated epochs were automatically excluded from further analysis using the same approach described in Ponomarev et al, 39 which has shown success in eliminating eye blinks, rapid eye movements, slow head or body movements, and myographic artifacts related to muscle tension when clenching the teeth and swallowing: (a) for nonfiltered EEG, 50 μV for Fp1 and Fp2 electrodes and 100 μV for other electrodes; (b) 50 μV for slow wave extraction by digital filtering in the 0-to 1-Hz band; and (c) 35 μV for fast waves filtered in the band of 20 to 35 Hz.…”
Section: Electroencephalographic Recording and Data Acquisitionmentioning
confidence: 99%
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“…For artifact correction and preprocessing, WinEEG software was used (http://www.mitsar-medical.com/ support/faqs.html). Artifact-contami-nated epochs were automatically excluded from further analysis using the same approach described in Ponomarev et al, 39 which has shown success in eliminating eye blinks, rapid eye movements, slow head or body movements, and myographic artifacts related to muscle tension when clenching the teeth and swallowing: (a) for nonfiltered EEG, 50 μV for Fp1 and Fp2 electrodes and 100 μV for other electrodes; (b) 50 μV for slow wave extraction by digital filtering in the 0-to 1-Hz band; and (c) 35 μV for fast waves filtered in the band of 20 to 35 Hz.…”
Section: Electroencephalographic Recording and Data Acquisitionmentioning
confidence: 99%
“…Using this approach, it is possible to disentangle between-group differences more precisely than before. Recently, Ponomarev et al 39 demonstrated the sensitivity and reliability of this method in discriminating between patients suffering from attention deficit/hyperactivity disorder (ADHD) and healthy controls (HCs) through the use of a 19-channel EEG system. Since we also used a 19-channel EEG system because of its mobility and ease of application in children, the current study tests whether this new approach might help discriminate between children with LD and HCs on the basis of the spectral EEG information obtained under restingstate conditions.…”
Section: Introductionmentioning
confidence: 99%
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“…Artifact-contaminated epochs were automatically excluded from further analysis using ICA analysis and commonly used artifacts rejection thresholds (50 μV for Fp1 and Fp2 electrodes and 100 μV for other electrodes; 50 μV -for slow waves extracting using digital filtering in 0-1 Hz band; 35 μV -for fast waves filtered in the band 20-35 Hz [26,27]). For each participant, at least 140-s artifact-free segments for each condition were selected and used for further ICA analysis.…”
Section: Eeg Data Preprocessingmentioning
confidence: 99%