History of AFNI updates  

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November 09, 2020 06:43PM
Thank you Rick.

I have rerun the script, but still, when I overlay the correct-incorrect T stat and apply a threshold of p=0.001, I get most clusters outside the brain. A few things I noted are:
- I tried making censor parameters more stringent, but got the same results
- I have noticed a warning on high correlation between correct and confident conditions, but didn't worry about it as I am not directly comparing them (I am only interested in correct vs. incorrect, and, separately, confident vs. nonconfident). Is that OK?
- When I use the T stats for other comparisons (confident-notconfident, or trust-distrust), I get even more random behavior

Do you have any other suggestion on what to look / check?

Thanks,
Davide
Subject Author Posted

Model-based fMRI for decision-making

Davide Valeriani September 14, 2020 11:34AM

Re: Model-based fMRI for decision-making

rick reynolds September 24, 2020 01:03PM

Re: Model-based fMRI for decision-making

Davide Valeriani September 24, 2020 03:32PM

Re: Model-based fMRI for decision-making

rick reynolds October 01, 2020 03:33PM

Re: Model-based fMRI for decision-making

Davide Valeriani October 05, 2020 11:41AM

Re: Model-based fMRI for decision-making

rick reynolds October 28, 2020 02:22PM

Re: Model-based fMRI for decision-making

Davide Valeriani November 09, 2020 06:43PM

Re: Model-based fMRI for decision-making

rick reynolds November 16, 2020 11:42AM

Re: Model-based fMRI for decision-making Attachments

Davide Valeriani November 17, 2020 09:39AM