Graph Comparison Utility
The Human Connectome Project (HCP) is a project to construct a map of the complete structural and functional neural connections in vivo within and across individuals. The HCP represents the first large-scale attempt to collect and share data of a scope and detail sufficient to begin the process of addressing deeply fundamental questions about human connectional anatomy and variation.
Objective: obtain data, enable cross-subject comparisons and multi-modal analysis of brain architecture, connectivity, and function.
Sample Population: 1200 Healthy adults between ages of 22-35 years old. Subjects of interest include twins and non-twin siblings
Raw Data. For each subject 4 sets of MRIs were collected: structural MRI, Resting-state fMRI (rfMRI), Task fMRI (tfMRI), and Diffusion MRI(dMRI)
Data Processing. Raw data were processed via two stages of refining:an optimization stage to adjust for spatial distortion and a noise removal to make data usable
Objective: Visualizing the mapping of the connections of the human brain on a macroscopic level using state-of-the-art computational methods.
The Graph A total of 1015 subdivision of anatomical gray matter areas in cortical and subcortical were indeitified, they are called Regions of Interest (ROI) and are represeneted by the nodes (also called vertices) of the graph. The edges of the graph represent neural fiber connection between ROIs. The network work of neural fiber connections between ROIs are represented in directed graphs. There are five resolutions constructed for the directed graphs: the 83 node resolution, 129 nodes, 234 nodes, 463 nodes, and 1015 nodes. The 1015 nodes graph contain 70,652 edges.
Graphs were consturcted using three sets of GitHub-based repository: The Budapest Reference Connectome workflow, The Brain Diversity workflow, and The Brain Evolution Workflow
The main tool from The Budapest Reference Connectome workflow is RefBrainGraph.pl. It prepares consensus connectomes from a set of braingraphs Graphs are called k-consensus connectomes, contain the edges of n connectomes that are present in k or more braingraphs where k is the smaller number.
The main tools from The Brain Diversity workflow are GenPreFile.pl and BrainDiversity.pl. They are capable of performing a related task: from n connectomes, calculate the individual variability of the edges of the distinct lobes of ROIs. The output contains interactive Google Charts visualizing the variabilities.
The main tools from The Brain Evolution Workflow are GenPreFile.pl and BrainEvolution. They are capable of comparing the random evolution of graph edges with the Consensus Connectome Dynamics. The can also generate figures given as interactive Google Charts.
- University of Southern California - Laboratory of Neuro Imaging (LONI)
- CRHD Human Connectomes for Low Vision, Blindness, and Sight Restoration
- CRHD Perturbation of the Treatment of Resistant Depression Connectome by Fast-Acting Therapies
- Washington University - Van Essen Lab - Dual Mechanisms of Cognitive Control
- University of Minnesota - Center for Magnetic Resonance Research (CMRR)
- Dual Mechanisms of Cognitive Control
- Oxford University