Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

AFNI Drift Model #1

Open
nicholst opened this issue Oct 1, 2015 · 0 comments
Open

AFNI Drift Model #1

nicholst opened this issue Oct 1, 2015 · 0 comments

Comments

@nicholst
Copy link

nicholst commented Oct 1, 2015

@cmaumet etc,

Following an email exchange with Bob Cox, I wanted to record that the the default drift model in AFNI is as follows:

It is a Legendre polynomial, the order automatically set by the duration of the imaging run to N = 1+int(D/150) where D is in seconds.

(Where I assume int() to be the usual truncation, i.e. floor() for positive values).

For short runs (less than 150 s) this will be linear, but for longer runs it will be some higher order polynomial. This is the behaviour obtained by the (recommended) "afni_proc.py" or "uber_proc.py" tools.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant