There is no specific cost function weighting being used (i.e. each feature has 
the same weight).

Matt.

From: 
<hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>>
 on behalf of "Curtis, Mark T" <mac...@pitt.edu<mailto:mac...@pitt.edu>>
Date: Monday, November 5, 2018 at 4:52 PM
To: "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>" 
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>
Subject: [HCP-Users] MSMall Question

Hello,

I have a question about MSMall, as I am trying to better understand how it is 
performing the alignment in the HCP Pipelines. My understanding is that MSMall 
uses areal features that include myelin maps and resting state network maps for 
alignment. MSM uses a discrete optimization approach and optimizes across the 
surface until features on the moving surface best match the target surface and 
it does this over a series of iterations. In the HCP Pipelines, how is this 
being done for the different modalities? Is it doing it for each modality on 
its own or is it creating a single, multivariate CostFunctionweighted mask and 
using it as the –refweight option? If it’s the latter, what are the actual 
weights that are used as default in the pipeline for the different modalities?

Any help with my understanding is appreciated!

Thanks!
Mark


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