[Eeglablist] Trial-by-trial median absolute deviation (MAD) of amplitude and latency

[Morett, Laura]

Dear colleagues,
In order to obtain a measure of inter-trial variability within subjects, I would like to compute trial-by-trial median absolute deviation (MAD) of amplitude and latency within epochs.  Given that two published papers have used EEGLab to do this (citations below), I know it is possible to at least output data in a format that will allow computation of this measure, if not to compute it directly in EEGLab.  However, I am unsure of which function(s) to use to do this.  Any guidance anyone can provide would be greatly appreciated.

Many thanks,
Laura Morett


Arazi, A., Censor, N., & Dinstein, I. (2017). Neural variability quenching predicts individual perceptual abilities. Journal of Neuroscience, 37, 97-109.

Milne, E. (2011). Increased intra-participant variability in children with autistic spectrum disorders: evidence from single-trial analysis of evoked EEG. Frontiers in psychology, 2, 51.


********************************************************
Laura M. Morett
Hilibrand Postdoctoral Fellow
Yale Child Study Center
230 S. Frontage Rd.
New Haven, CT 06520

As of August 16, 2017:
Assistant Professor of Educational Psychology
Educational Neuroscience Initiative
University of Alabama
Box 870231
Tuscaloosa, AL 35487-0231

Email: laura.morett at yale.edu<mailto:laura.morett at yale.edu>
Phone: (203) 737-4586
Web: http://lauramorett.strikingly.com/<https://urldefense.proofpoint.com/v2/url?u=http-3A__lauramorett.strikingly.com_&d=CwMF-g&c=-dg2m7zWuuDZ0MUcV7Sdqw&r=7RydtjFxlOLitiTKeuyufwjZVnuS2cr0LD3ZBHQd6QA&m=hcKHc9qk081CzOBRcCJRuXs-41-8mLMuX9gmiw_QG_g&s=UQlF7t1IaNyCaJW5l4lvUXFZvEYnMtD2_GIYvnLLIaE&e=>
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