Hello all,
I’m really a novice in the field and just started to learn to use the EEGlab. I’m writing because I’d like to run a power/frequency analysis on the data I have – and I’ve got a question.
The data was collected from 9-month-old infants using the EGI system, HydroCel Geodesic Sensor Net with 128 channels. We’re interested in brain activities occurring during a 5-sec long interval. Each infant did 7 to 9 trials (i.e. each infant gave us 7-9 intervals to analyse), which seems very small as a number of trials but it’s not very unusual for infant EEG studies + the study is a pilot.
I’ve been using a NetStation to pre-process EEG so I thought it’d be easier to segment the data, do the artefact detection and replace bad channels identified, and then import these epoched data into the EEG lab to do the FFT (or other transformation methods for the power analysis). But I was advised a few times to use the EEG lab from the beginning of the preprocessing (i.e. epoching, artefact detection and interpolation). Is there any difference between these two? If so, what is the difference and what may be the pros and cons of each method?
I hope this makes sense – but please get in touch if you can help me with this and/or need more information.
Thank you very much in advance, and I hope you have a lovely day.
Kind regards,
Saya
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Sayaka Fujita
Marie Skłodowska-Curie Early Career Researcher (MOTION)
Department of Psychology
Lancaster University