New Tractography Modalities
Tractography analysis often separates tractography mapping step from its analysis, but higher sensitivity and specificity could be achieved by integrating them together as novel tractography modalities. To this end, we introduce "differential tractography," a new tractography modality that adopts a “tracking-the-differences” paradigm to track pathways with neuronal change in a patient.
Tool and documentation: http://dsi-studio.labsolver.org/Manual/differential-tractography
- Yeh FC, Badre D, Verstynen T. Connectometry: a statistical approach harnessing the analytical potential of the local connectome. NeuroImage. 2016 Jan 15;125:162-71.2019 Nov 15;202:116131.
For group studies, we further adopting a “tracking-the-correlation” paradigm and introduce "correlational tractography" to map fiber pathways correlated with a study variable. The correlation analysis used, which we called connectometry, can leverage multiple regression, partial correlation, or non-parametric correlation to derive correlational tractography and study the circuit mechanism.
Tool and documentation: http://dsi-studio.labsolver.org/Manual/diffusion-mri-connectometry
- Yeh FC, Badre D, Verstynen T. Connectometry: a statistical approach harnessing the analytical potential of the local connectome. NeuroImage. 2016 Jan 15;125:162-71.
- Hula WD, Panesar S, Gravier ML, Yeh FC, Dresang HC, Dickey MW, Fernandez-Miranda JC. Structural white matter connectometry of word production in aphasia: an observational study. Brain. 2020 Aug 1;143(8):2532-44.
Construction of Tractography Atlases
Human Tractography Atlas
We introduced an expert-vetted, population-based atlas of the structural connectome derived from diffusion MRI data. This was achieved by creating a high-resolution template of diffusion patterns averaged across individual subjects and using tractography to generate trajectories of representative white matter fascicles. The trajectories were clustered and labeled by a team of experienced neuroanatomists.
This atlas of the structural connectome represents normative neuroanatomical organization of human brain white matter, complimentary to traditional histologically-derived and voxel-based white matter atlases, allowing for better modeling and simulation of brain connectivity for future connectomic studies as well as clinical and educational applications.
- Yeh FC, Panesar S, Fernandes D, Meola A, Yoshino M, Fernandez-Miranda JC, Vettel JM, Verstynen T. Population-averaged atlas of the macroscale human structural connectome and its network topology. NeuroImage. 2018 Sep 1;178:57-68.
Decode Structure-Function Relation using Diffusion MRI Connectomics
Local Connectome Fingerprints
Data and Challenges:http://dsi-studio.labsolver.org/download-images/local-connectome-fingerprints-of-hcp-1062-subjects-for-neofac-prediction
Reference:Yeh FC, Vettel JM, Singh A, Poczos B, Grafton ST, Erickson KI, Tseng WY, Verstynen TD. Quantifying differences and similarities in whole-brain white matter architecture using local connectome fingerprints. PLoS computational biology. 2016 Nov 15;12(11):e1005203.
DSI Studio—An Integrative Platform for Neurosurgery Planning
Brain tumor pre-surgical planning
sEEG electrodes and tractography visualization
Mapping the trajectories of human connectome and explore its properties is one of the largest endeavors in neuroscience. DSI Studio is an open source diffusion MRI analysis tool that maps brain connections, characterizes their biophysical metrics, and correlates the metrics with neuropsychological variables. It is a collective implementation of diffusion MRI methods and has established its unique scientific impact.
Source Code: https://github.com/frankyeh/DSI-Studio