Differential brain network analysis

A non-transitory computer readable medium having a computer program stored thereon to implement a method, the program comprising:

• code for receiving a first user input to expand a currently available menu option, the currently available menu option for selecting a grouping network of a subject brain;
• code for determining updated menu data for a menu based on the first user input;
• code for providing the updated menu data for display to a user—including at least one grouping option for selecting the grouping network of the subject brain and at least a level one option for selecting a level one network of the subject brain where the grouping network includes the level one network;
• code for receiving a selection of a network of the subject brain to specify a selected network;
• code for determining, based on an MRI image of the subject brain and one or more identifiers associated with the selected network, parcellations of the selected network of the subject brain to produce determined parcellations;
• code for determining, using three-dimensional coordinates associated with each determined parcellation, corresponding tracts in a diffusion tensor image of the brain to produce determined tracts, wherein determining corresponding tracts in a diffusion tensor image of the brain to produce determined tracts comprises:
• receiving a tract selection mode indication to select only tracts that:
• a) begin in one of the determined parcellations and b) end in another one of the determined parcellations;
• and
• responsive to the tract selection mode indication, determining corresponding tracts in a diffusion tensor image of the brain to produce determined tracts that only a) begin in one of the determined parcellations and b) end in another one of the determined parcellations;
• and
• code for generating a graphical representation of the selected network, the graphical representation including at least one of (i) one or more surfaces representing the one or more determined parcellations, each surface generated using the coordinates, and (ii) the determined tracts.

A system comprising

• one or more computers and one or more storage devices on which are stored instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
• receiving a first user input to expand a currently available menu option, the currently available menu option for selecting a grouping network of a brain;
• determining updated menu data for a menu based on the first user input;
• providing the updated menu data for display to a user including at least one grouping option for selecting the grouping network of the subject brain and at least a level one option for selecting a level one network of the subject brain where the grouping network includes the level one network;
• receiving a selection of a network of the subject brain to specify a selected network;
• determining, based on an MRI image of the subject brain and one or more identifiers associated with the selected network, parcellations of the selected network of the subject brain to produce determined parcellations;
• determining, using three-dimensional coordinates associated with each determined parcellation, corresponding tracts in a diffusion tensor image of the brain to produce determined tracts, wherein determining corresponding tracts in a diffusion tensor image of the brain to produce determined tracts comprises:
• receiving a tract selection mode indication to select only tracts that:
• a) begin in one of the determined parcellations and b) end in another one of the determined parcellations;
• and
• responsive to the tract selection mode indication, determining corresponding tracts in a diffusion tensor image of the brain to produce determined tracts that only a) begin in one of the determined parcellations and b) end in another one of the determined parcellations;
• and
• generating a graphical representation of the selected network, the graphical representation including at least one of (i) one or more surfaces representing the one or more determined parcellations, each surface generated using the coordinates, and (ii) the determined tracts.

A method of generating a graphical representation of a network of a subject human brain, comprising:

• generating a surface model, the surface model associating a set of RGB values with a coordinate of each voxel, the RGB values reflecting a parcellation of the subject brain, and wherein the one or more surfaces are generated using the surface model;
• receiving a first user input to expand a currently available menu option, the currently available menu option for selecting a grouping network of a brain;
• determining updated menu data for a menu based on the first user input;
• providing the updated menu data for display to a user including at least one grouping option for selecting the grouping network of the subject brain and at least a level one option for selecting a level one network of the subject brain where the grouping network includes the level one network;
• receiving, via a user interface, a selection of a network of the subject brain;
• determining, based on an MRI image of the subject brain and one or more identifiers associated with the selection, one or more parcellations of the selected network of the subject brain to produce determined parcellations;
• determining, using three-dimensional coordinates associated with each determined parcellation, corresponding tracts in a diffusion tensor image of the brain to produce determined tracts, wherein
• determining corresponding tracts in a diffusion tensor image of the brain to produce determined tracts comprises:
• receiving a tract selection mode indication to select only tracts that:
• a) begin in one of the determined parcellations and b) end in another one of the determined parcellations;
• and
• responsive to the tract selection mode indication, determining corresponding tracts in a diffusion tensor image of the brain to produce determined tracts that only a) begin in one of the determined parcellations and b) end in another one of the determined parcellations;
• and
• generating a graphical representation of the selected network, the graphical representation including at least one of (i) one or more surfaces representing the one or more determined parcellations, each surface generated using the coordinates, and (ii) the determined tracts.