Mark and Mary Stevens Neuroimaging and Informatics Institute
MOCA License
Yes
University of Southern California
NITRC
Connectopy Toolkits
Junyan Wang
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.
2019-9-19
GroupwiseTractFiltering
2019-9-06
gwtga
2018-12-17
DistortionCorrectionTool
2018-3-27
Topographic Tract Filtering tool v2
Connectopy Toolkits
Microscopy, MR, Computational Neuroscience, MOCA License, Tractography
http://www.nitrc.org/projects/connectopytool/
wox.jywang@gmail.com