Connectopy Toolkits
While the topographic organization of brain pathways, i.e., connectopy, as a general principle has been known for a long time, it has yet to be quantitatively studied with in vivo neuroimaging. Using connectome imaging data, we have developed several novel algorithms to quantitively model the connectopy in human brains. These algorithms can be used to reconstruct topography-preserving pathways in visual, auditory, somatosensory, cortical-striatal, and fiber pathways in other brain networks. They can also improve the robustness of functional independent component analysis with regularization from topography-preserving fiber tracts. In this ConnectopyToolkits, we will publicly release the software tools for connectopy modeling.
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Recent Activity - News
Release of Group-wise White Matter Topography Analysis posted by Junyan Wang on Sep 13, 2019
Recent Activity - Files
GroupwiseTractFiltering: GroupwiseTractFiltering release
GroupwiseTractFiltering.zip posted by Yonggang Shi on Sep 19, 2019
Group-wise white matter topography analaysis: gwtga release
GWTGA_torelease.zip posted by Junyan Wang on Sep 9, 2019
DistortionCorrectionTool: DistortionCorrectionTool release
DistortionCorrectionTools.zip posted by Yonggang Shi on Dec 17, 2018
connectopytool: Topographic Tract Filtering tool v2 release
TGR_TrkModel_release_v2.zip posted by Junyan Wang on Mar 27, 2018