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

[Morett, Laura]

Dear Stephen, Elizabeth, and other colleagues,
Thank you for the helpful responses.  I have a follow-up question: Is there a way to either reference or subset EEG.data by bin?  I would like to compute MAD separately for each condition (denoted by bin), but I’m not sure how to do this, given that bins seem to be encoded in the event list but not the EEG.data structure.  Any advice on how I can add this information to the EEG.data structure, create another structure that has this information, or otherwise refer to it would be greatly appreciated!

Thanks,
Laura


********************************************************
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=>

From: Elizabeth Milne <e.milne at sheffield.ac.uk>
Date: Wednesday, May 3, 2017 at 6:38 AM
To: "Morett, Laura" <laura.morett at yale.edu>
Cc: "eeglablist at sccn.ucsd.edu" <eeglablist at sccn.ucsd.edu>
Subject: Re: [Eeglablist] Trial-by-trial median absolute deviation (MAD) of amplitude and latency

Hello Laura,
As far as I'm aware, EEGLAB does not have a function for computing MAD, but matlab has a function 'mad' that will do this. You just need to output the data that you're interested in to your matlab workspace and then run mad on this data. Typing 'help mad' into the matlab command line will provide you with information about how to use the function.

Best wishes,
Elizabeth

On 2 May 2017 at 06:21, Morett, Laura <laura.morett at yale.edu<mailto:laura.morett at yale.edu>> wrote:
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<tel:(203)%20737-4586>
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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--
Elizabeth Milne
Reader in Cognitive Neuroscience
Department of Psychology
Cathedral Court
1 Vicar Lane
Sheffield
S1 2LT

+44 (0) 114 222 6558

http://www.autismresearchlab.group.shef.ac.uk/<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.autismresearchlab.group.shef.ac.uk_&d=DwMFaQ&c=-dg2m7zWuuDZ0MUcV7Sdqw&r=l0BRPHpU7TbMIsjnMykAjkdm4kZk3qRcOQvhXpyzfSg&m=hgJDidCHaZn-jLYGl_Z7seqG4KVVOyZ6kThV_KNkw-Q&s=KVby7v98TRXkYTwpDdt-tQqU9iiTXMPIVD6pYHd_sxE&e=>
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