It’s coming.  We’ve (mostly the Oxford diffusion group) put a large amount of effort into getting the neurobiologically most reasonable tractography results we can from our data and that has taken time.  We're sorry for the delay, but usually the HCP has taken the approach to only release stuff once the major stakeholders have come to a scientific consensus on it.  In so far as we’ve waited to release things until we get scientific consensus, we’ve released more accurate, more forward looking data and software products that will be better in the long run for our users.  There always is a tension between releasing something sooner that isn’t as good, vs releasing something better later, but the minimally processed diffusion data are available to any investigators wishing to start analyzing it now.  

Peace,

Matt.

From: Michael Dwyer <[email protected]>
Date: Friday, March 13, 2015 at 12:56 PM
To: "[email protected]" <[email protected]>
Subject: [HCP-Users] Probabilistic structural dense connectome

Dear HCP experts,

I would like to do some analysis in subjects with substantial lesion loads (multiple sclerosis) where tractography may be difficult or unreliable.

I am wondering whether the HCP project contains a dense group-probabilistic connectome for structural (diffusion) connectivity.

Basically, I would like to be able to normalize my subjects to an atlas using hi-res T1 images (and potentially also DTI using something like ANTs multi-cost-function warping). I would then like to have the ability to query each white matter voxel in normalized space to get a probabilistic connectivity map.

I realize such a dense connectome map would be enormous, but I know you guys are dealing with huge data in your sleep nowadays, so I though maybe something like this might be available.

Thanks in advance!

All the best,
Mike

--
Michael G. Dwyer, Ph.D.
Assistant Professor of Neurology and Biomedical Informatics
Director of Technical Imaging Development
Buffalo Neuroimaging Analysis Center
University at Buffalo
100 High St. Buffalo NY 14203
[email protected]
(716) 859-7065

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