Recording and preprocessing The EEG recording accompanying the visual search task started with a 2-minute resting-state EEG registration with eyes open. The visual search task datasets were recorded with 64 Ag/
Finally, while the aforementioned channel removal criteria are consistent with the standard practice in iEEG preprocessing (where we remove channels with exceptional line length, kurtosis and power spectral densities to target high-frequency noise and ictal activity66,67, electrode drift and ictal spikes...
EEG, specifically resting state EEG (rsEEG), is a particularly useful method in this work given that oscillatory activity computed from rsEEG provides detailed insight into neural dynamics that are, in turn, modulated by many of the markers implicated by preclinical work. For example, high freque...
The current study aimed to investigate whether microstates during eyes-closed resting-state would associate with error-related neural activity (assessed using both microstate and ERP waveform analyses) during a go/no-go task in 90, 4-8-year-old children using high-density EEG. At the group-leve...
Some preprocessing steps and the extraction of brain features are optional now. Description Data Input:the input data needs to be raw EEG data in BIDS format, please check that you comply with the standard with theBIDS validator. Output:the output data are the preprocessed EEG data, the below...
Many different resting-state EEG features have been investigated in regards to ASD, with spectral power being the most commonly used feature. Decreased theta power6, alpha power7,8,9,10and gamma power have been observed in ASD11,12. However, increased alpha power13and gamma power have also be...
Particular attention was put in avoiding any preprocessing procedure that may induce changes in the phase relations between channels. EEG traces were then segmented in 1 s-epochs and the brain connectivity was estimated by means of PDC: the obtained patterns were averaged over frequency range of...
Preprocessing of the resting state human brain fMRI data We used healthy control subjects (n=74) from the COBRE16resting-state fMRI datasets available at http://fcon_1000.projects.nitrc.org/indi/retro/cobre.html. The fMRI dataset for each subject includes blood-oxygenation level-dependent (BOLD...
3.1. EEG recording and preprocessing For EEG recording, participants were seated in an electrically shielded, dimly lit room and instructed to relax with their eyes closed. The eyes-closed resting-state EEG was recorded for three minutes with a sampling rate of 1000 Hz using a BrainAmp amplifier...
Preprocessing We used the same MRI data and the same preprocessing pipeline as our previous study’s69, except that we used resting-state fMRI signals from 264 ROIs, whose coordinates were derived in the previous literature41. In short, we submitted the resting-state fMRI data in the NKI Roc...