I have an EEG data recorded form ADHD children. I want to know which approaches are suitable for this data?
The "Gold Standard" for analyzing EEG data is the electroencephalographer's eyes.
I agree with Ronald, but also as biofeedback practitioner, I am doing neurofeedback trening for ADHD children and for this purpose we use some data basis for QEEG analysis. There are few data basis such as Neuroguide, Skill... But, everything depends of purpose of your work...I hope that I helped you, somehow...
There are plenty of commercial and academic (free and open) software suites to help with quantitative EEG data analysis. See link for a recent review.
I'm biased here and would recommend Brainstorm ;)
http://neuroimage.usc.edu./brainstorm
Best,
Sylvain.
https://www.hindawi.com/journals/cin/si/138743/
Our recent study quantifies the "Consistency of EEG source localization and connectivity estimates" across several forward models (BEM, FEM, SHE), inverse methods (LCMV, eLORETA and WMNE) and toolboxes (Fieldtrip, Brainstorm, Berlin Toolbox).
It might be of your interest.
http://biorxiv.org/content/early/2017/01/26/071597
It depends on your research question. If you are interested in finding some neurophysiological features/correlates of ADHD brain, you can probably do 1) sensor space analysis of using spatio-temporal spectral analysis using different methods including machine learning algorithms, and 2) source space analysis by doing inverse EEG mapping and studying perhaps neural mechanisms via toolboxes aforementioned such as the BrainStorm and/or Fieldtrip.
Professional training is the most important, internet is the least one (downloaded software too)
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