Yes, that would allow the results to have corresponding indices across subjects (like standard meshes do on the surface).

Peace,

Matt.

From: Linden Parkes <[email protected]>
Date: Monday, November 3, 2014 at 4:21 PM
To: Matt Glasser <[email protected]>, "[email protected]" <[email protected]>
Subject: Re: [HCP-Users] MNINonLinear ROIs

Ok cool. So then if I want to generate connectivity matrixes based on seed to target connectivity and then average that across subjects I’d be better served by using the Atlas_ variants?

Cheers,
Linden

——————————————————————

Linden Parkes

PhD Candidate
Monash Clinical & Imaging Neuroscience (MCIN)
School of Psychological Sciences
Monash Biomedical Imaging
Monash University

A: 770 Blackburn Rd, Clayton, 3168, Vic, Australia
T: +61 3 9902 9807  |  0402 516 574
W: www.med.monash.edu.au/psych/mcin/

B7AE8BF0-4F0C-4F0B-9BDE-B582B9331FA1

From: Glasser, Matthew <[email protected]>
Reply: Glasser, Matthew <[email protected]>>
Date: 4 November 2014 at 1:11:15 am
To: Linden Parkes <[email protected]>>, [email protected]<[email protected]>>
Subject:  Re: [HCP-Users] MNINonLinear ROIs

The files with “Atlas_” are the same across all individuals, whereas the ones without are individual specific.

Peace,

Matt.

From: Linden Parkes <[email protected]>
Date: Monday, November 3, 2014 at 1:08 AM
To: "[email protected]" <[email protected]>
Subject: [HCP-Users] MNINonLinear ROIs

Hi all,

In the MNINonLinear directories there are 4 files:
ROIs.2
wmparc.2
Atlas_ROIs.2
Atlas_wmparc.2

What is the difference between the files with the prefix and those without? When generating MNI ROIs for use with probtrackx2 which files should be used?

Cheers,
Linden

——————————————————————

Linden Parkes

PhD Candidate
Monash Clinical & Imaging Neuroscience (MCIN)
School of Psychological Sciences
Monash Biomedical Imaging
Monash University

A: 770 Blackburn Rd, Clayton, 3168, Vic, Australia
T: +61 3 9902 9807  |  0402 516 574
W: www.med.monash.edu.au/psych/mcin/

B7AE8BF0-4F0C-4F0B-9BDE-B582B9331FA1

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