;
> Amanda
>
> ----
> *From:* Jovicich, Jorge <jorge.jovic...@unitn.it>
> *Sent:* 20 September 2017 15:51:40
> *To:* Worker, Amanda
> *Cc:* Freesurfer support list
> *Subject:* Re: [Freesurfer] Test-retes
pport list <freesurfer@nmr.mgh.harvard.edu>
Date: Wednesday, 4 October 2017 at 13:05
To: "Jovicich, Jorge" <jorge.jovic...@unitn.it>
Cc: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Subject: Re: [Freesurfer] Test-retest reliability in longitudinal data
Hi,
,
Amanda
From: Jovicich, Jorge <jorge.jovic...@unitn.it>
Sent: 20 September 2017 15:51:40
To: Worker, Amanda
Cc: Freesurfer support list
Subject: Re: [Freesurfer] Test-retest reliability in longitudinal data
orker, Amanda
Cc: Freesurfer support list
Subject: Re: [Freesurfer] Test-retest reliability in longitudinal data
Hi Amanda,
I would recommend you to quantify reliability using the same processing
pipeline you will use to test for longitudinal effects in your sample.
Relevant literature include th
Hi Amanda,
I would recommend you to quantify reliability using the same processing
pipeline you will use to test for longitudinal effects in your sample.
Relevant literature include those listed below. For reliability you
would want to evaluate subjects over a time period in which you do not
Hi Amanda
it really depends what your goal is. If you want to estimate the noise
for a power analysis and you are going to process the data longitudinally,
then certainly you should use the longitudinal stream to measure the
reliability
cheers
Bruce
On Wed, 20 Sep 2017, Worker, Amanda
