[Eeglablist] ASR - Child

[Dickinson, Abigail]

Hi Brian,

I work with high-artifact data from infant and neurodevelopmental populations.

In a recent analysis I trialled different parameters on a subset of data (representing various levels of artifact), and found 15-20 to offer a suitable cut off. E.g. In my case I didn't want any more than 30% of the data points to be changed, but obviously wanted large artifacts to be removed.

It will depend on your specific requirements and whether you want to retain more data points or channels, but I found ASR to work really well when I had refined the parameters.

Best,

Abby




Abigail Dickinson, PhD.

Assistant Research Neuroscientist | UCLA
Center for Autism Research and Treatment
Semel Institute | 760 Westwood Plaza
A7-448 | Los Angeles | 90095


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Sent: Tuesday, March 17, 2020 1:53 PM
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Subject: [Eeglablist] ASR - Child

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Hi everyone,

Is there an optimal SD cut-off for ASR in child psychiatric participants?
I've read the descriptions about SD = 20 for typical participants.

The ASR authors commented that the HAPPE '18 paper was too aggressive in SD
= 5, while Chang '18 similarly found that 5-7 was too aggressive.

Given the recommended range is 10-100, would the answer here be 10? I
couldn't find anything specific to school-aged psychiatry, or more
generally, those with high-artifact.

Thanks everyone,

Brian

--
Brian Kavanaugh, PsyD.
Pediatric Neuropsychologist, E. P. Bradley Hospital/Rhode Island Hospital
Assistant Professor (Research), Warren Alpert Medical School of Brown
University
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