Ah k. Yes I’d be interested to hear what you guys think is the best option out of 1) running all tractography from ROIs generated from the Atlas_ files to easily generated a group average connectivity matrix or 2) run from subject specific ROIs and then deal with the issue of comparisons afterwards.
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 E: [email protected] W: www.med.monash.edu.au/psych/mcin/ From: Glasser, Matthew <[email protected]> Reply: Glasser, Matthew <[email protected]>> Date: 5 November 2014 at 2:02:49 am To: Linden Parkes <[email protected]>> Cc: [email protected] <[email protected]>>, Stamatios Sotiropoulos <[email protected]>> Subject: Re: [HCP-Users] MNINonLinear ROIs Not perfectly. If you wanted to use the individual ones though, you would need to resample the results from the individual ROIs to the atlas ones before comparing. Stam has thought a lot about this, so I would be interested in his opinion. Thanks, Matt. From: Linden Parkes <[email protected]> Date: Tuesday, November 4, 2014 at 12:30 AM To: Matt Glasser <[email protected]> Cc: "[email protected]" <[email protected]> Subject: Re: [HCP-Users] MNINonLinear ROIs As a side note. Wouldn't using the Atlas_ variant to generate ROIs for tractography mean that for each participant the ROIs are going to include some of the surrounding white matter? Does using the xfms transforms account for this? On 4 November 2014 10:07, Glasser, Matthew <[email protected]> wrote: 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 E: [email protected] 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 E: [email protected] W: www.med.monash.edu.au/psych/mcin/ B7AE8BF0-4F0C-4F0B-9BDE-B582B9331FA1 _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail. 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