[Eeglablist] ICA in short duration recordings
Beach, Paul
paul.anthony.beach at emory.edu
Thu Jan 20 07:39:58 PST 2022
EEGLAB team – and other EEG’ers,
I am currently working with a number of datasets with relatively short durations – 3-5 minutes, generally. My goal is to examine endogenous ERPs from heartbeat processing (heartbeat evoked potential) in controls and a clinical group. I utilize a processing protocol whose artifact rejection mainly involves ASR, epoching to heartbeats, and then use of ICA to reject components at the single subject level.
I almost always run into an issue whereby I only get a few components in ICA (usually out of 50-60) that are *clearly* neural in origin and maybe a few where it’s a more difficult call. My understanding is that, in general, the majority of components will not be necessary to keep/won’t be neural (particularly ICs after the first 20 or so). However, talking with other EEG’ers I find that they will typically have 10 or so.
Notwithstanding that EEGLAB does recommend not rejecting components until group analysis, I wanted to query thoughts on the ‘appropriateness’ of even using ICA on recordings of such relatively short duration. I’ve read the brief discussion in Makoto’s processing page on this and ASR does a great job removing lots of things like eye blinks and even clear cardiac field artifact
SO: should one just rely on ASR and perhaps use ICA for eye components that are missed (and keep everything else)? Should one avoid ICA completely for shorter duration recordings? Should I continue what I’m already doing? Some other middle ground? Or should I just forget about single subject level IC rejection completely and rely on its use in group-level analysis?
Thanks for your time and thoughts.
--
Paul Beach DO, PhD
PGY6, Movement Disorder Fellow
Department of Neurology
Emory University School of Medicine
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