Comments on: Drug exposure and EEG/qEEG findings http://qeegsupport.com/drug-exposure-and-eegqeeg-findings/ Quantitative Electroencephalography (qEEG): Information & Discussion Mon, 12 Sep 2011 20:22:48 -0400 http://wordpress.org/?v=2.8.4 hourly 1 By: sdigavalli http://qeegsupport.com/drug-exposure-and-eegqeeg-findings/comment-page-1/#comment-55 sdigavalli Sun, 23 Jan 2011 04:00:40 +0000 http://qeegsupport.com/?p=487#comment-55 Jay Thanks for your response. I agree with you that it is prudent to monitor the primary indices as well. I must say though that delta as we record from rodents (not scalp but epidural) has very little artifact and for that matter any other freq bands are generally free of artifacts other than some very obvious artefacts due to movement once in a while etc. Siva Jay
Thanks for your response. I agree with you that it is prudent to monitor the primary indices as well. I must say though that delta as we record from rodents (not scalp but epidural) has very little artifact and for that matter any other freq bands are generally free of artifacts other than some very obvious artefacts due to movement once in a while etc.
Siva

]]> By: Jay Gunkelman http://qeegsupport.com/drug-exposure-and-eegqeeg-findings/comment-page-1/#comment-48 Jay Gunkelman Fri, 29 Oct 2010 22:12:19 +0000 http://qeegsupport.com/?p=487#comment-48 Siva, The effect you note is seen in any cortical area that is activated, with less slower rhythm associated with hypoperfusion, and more of the beta and gamma associated with the neural network's dynamic functioning. Delta is so full of various artifacts and other phenomenon like SCP dynamics, that using it in any calculation is difficult unless you are looking at data that has been de-artifacted and processed. Derived metrics are always subject to skewing of the calculation, so if you do use a derived metric, it is good practice to track the features making the metric themselves, to allow for understanding of any deviations of the metric itself. Good luck with your project! Jay Siva,

The effect you note is seen in any cortical area that is activated, with
less slower rhythm associated with hypoperfusion, and more of the beta and
gamma associated with the neural network’s dynamic functioning.

Delta is so full of various artifacts and other phenomenon like SCP
dynamics, that using it in any calculation is difficult unless you are
looking at data that has been de-artifacted and processed.

Derived metrics are always subject to skewing of the calculation, so if you
do use a derived metric, it is good practice to track the features making
the metric themselves, to allow for understanding of any deviations of the
metric itself.

Good luck with your project!

Jay

]]> By: sdigavalli http://qeegsupport.com/drug-exposure-and-eegqeeg-findings/comment-page-1/#comment-47 sdigavalli Fri, 22 Oct 2010 22:25:15 +0000 http://qeegsupport.com/?p=487#comment-47 Hi Jay Thanks for the ready reckoner on the different psychopharmacological agents and how they might affect EEG. I work in the preclinical realm and what I notice consistently with mild arousal causing agents like nicotine/caffeine/methylphenidate (low-dose) etc is that they reduce low freq. activity like delta and increase high freq. activity like beta and gamma. Theta and alpha are a bit of a wild card. Sometimes they decrease and sometimes they increase (esp. theta). Do you have a suggestion to combine these bands in a way to improve effect size for treatments. For example, dividing beta*gamma by delta etc. What I am looking for is a precedence in the clinical practice that I can use to guide our preclinical studies. Thanks a lot, Siva Hi Jay
Thanks for the ready reckoner on the different psychopharmacological agents and how they might affect EEG.

I work in the preclinical realm and what I notice consistently with mild arousal causing agents like nicotine/caffeine/methylphenidate (low-dose) etc is that they reduce low freq. activity like delta and increase high freq. activity like beta and gamma. Theta and alpha are a bit of a wild card. Sometimes they decrease and sometimes they increase (esp. theta). Do you have a suggestion to combine these bands in a way to improve effect size for treatments. For example, dividing beta*gamma by delta etc. What I am looking for is a precedence in the clinical practice that I can use to guide our preclinical studies. Thanks a lot,
Siva

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