Matlab code for ORCA is here:https://github.com/andrew-j-watrous/ORCA …
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Here is an ORCA decomposition of human scalp EEG channel O1.pic.twitter.com/UP1NuzHtuw
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Here is an ORCA decomposition of a rodent hippocampal CA1 recording.pic.twitter.com/2Efs9zHaxW
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Here is another schematic of ORCA decomposition of a rat CA1 channel. Adaptive frequency bands based on an explained-variance model of the neural signal (green) were best able to reconstruct the raw signal compared to canonical frequency bands (purple).pic.twitter.com/PB93FYzRpn
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ORCA can identify subject- and electrode-specific frequency band modulations in resting scalp EEG. These bands are best defined based on different statistical properties of the signal as compared to classical bands.pic.twitter.com/y3zAQ8JjGf
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Here is an example of resting state "alpha" oscillations detected by ORCA in electrode-specific bands. Each subject (row) shows a unique pattern of activity associated with eye-closure. Subjects are ordered by the average similarity to others.pic.twitter.com/9Rzvy5jXGA
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The ORCA algorithm is novel but the data isn't. We used open access data in this entire project. Thanks to the original authors whose scalp EEG and rat CA1 datasets are here: https://dataverse.tdl.org/dataverse/rsed2017 … http://crcns.org/data-sets/pfc/pfc-2 …
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very cool! Q: CoD works best in frontal channels, but in Fig S1, many subjects have a topo with largest variance stemming from eye movements. This is not variance of interest, as of non-neural origin. It is also a large contributor to CoD performance improvement, no? (Fig 3D)
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Thanks, some subs in fig S1 look like eye blink ICA components but we didn't look at this directly so I can't say for sure. Though Cod also works well in rat and many posterior electrodes so I think it's more general than just eye movements.
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First of all, congrats! Look forward to reading this.. Second (you might already know), "elm" in Arabic (and Persian) means knowledge! Awesome lab name :)
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Thanks Zahra, neat that ELM is multilingual!
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