Open dhadjia1 opened 9 years ago
mrjiaruiwang
commented
9 years ago Hi dhadjia1 I think you will find this paper interesting. They used fMRI to study the effects of psilocybin, associating connectivity with signs of early psychosis. http://schizophreniabulletin.oxfordjournals.org/content/39/6/1343.long
jovo
commented
9 years ago we have a couple papers on that topic. i don't think my name is on them, but carey priebe's name is.
one is called something like: non-parametric testing for graphs" and the other is called something like: "semi-parametric testing for graphs"
On Tuesday, February 3, 2015, mrjiaruiwang notifications@github.com wrote:
Hi dhadjia1 I think you will find this paper interesting. They used fMRI to study the effects of psilocybin, associating connectivity with signs of early psychosis. http://schizophreniabulletin.oxfordjournals.org/content/39/6/1343.long
— Reply to this email directly or view it on GitHub https://github.com/Statistical-Connectomics-Sp15/intro/issues/36#issuecomment-72769737 .
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Hi Jovo. Suppose I created a brain graph of a patient (let's assume we can create one for anyone in seconds). Then I gave the patient a drug (i.e. acid, mushrooms, etc etc) and waited 2 hours. I then created a second brain graph of the patient. After 12 hours or so when the effects have word off, I created a third brain graph. Would we be able to see any noticeable difference between these three brain graphs? If we made brain graphs of, let's say, 50 patients while they were on psychedelics, would their brain graphs be similar in any way?