A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a subset of brain data of a patient. One of the methods comprises providing connectivity data for presentation to a user, the connectivity data characterizing, for each pair of parcellations comprising a first parcellation and a second parcellation from a plurality of parcellations, a degree of correlation between the brain activity of the first parcellation and the brain activity of the second parcellation in the brain of a patient; determining one or more elements of interest in the connectivity data; determining one or more parcellations associated with elements of interest in the connectivity data; obtaining brain atlas data; determining a subset of the brain atlas data associated with the determined parcellations; and providing the subset of the brain atlas data to a user device for rendering the subset to the user.

A method of predicting the response of a subject to an antipsychotic agent is described. The method includes obtaining functional MRI (fMRI) scan data of the brain of the subject, modifying the scan data using a standardizing algorithm to provide modified scan data, calculating the value of a plurality of striatal connectivity dyads from the modified scan data using an extraction algorithm, calculating a combined score from the values of the striatal connectivity dyads using a combining algorithm; and comparing the combined score to a classifier value to determine if the subject is a responder or a non-responder. Systems for carrying out the method of predicting the response of a subject to an antipsychotic agent are also described.

Methods and systems for diagnosing a condition of a central nervous system are provided. A method includes providing a DBSI-MRI data set obtained from the central nervous system of the subject, and transforming the DBSI-MRI data set to obtain at least one DBSI biomarker value. The method further includes comparing each DBSI biomarker value to at least one corresponding threshold value from a diagnostic database to obtain a relation between each DBSI biomarker value and the at least one corresponding threshold value, and diagnosing the condition according to at least one diagnostic rule, wherein each diagnostic rule defines a candidate condition in terms of the relations between the at least one DBSI biomarker value and the at least one corresponding threshold value.

A whole-body coil for a magnetic resonance tomography device includes one or more compensation capacitors between a high-frequency antenna and an RF shield. The one or more compensation capacitors each have variable capacitance caused by a variation in a distance of the RF shield to the high-frequency antenna.

In a method and a magnetic resonance (MR) system for functional MR imaging of a predetermined volume segment of THE brain of a living examination subject, an RF excitation pulse is radiated into the subject and at least one magnetic field gradient is activated, and MR data of the predetermined volume segment is acquired beginning at a predetermined echo time after the RF excitation pulse. The echo time is in a time period of 10 μs to 1000 μs.

A head-up display and eye-tracker system, suitable for use with a patient in an MRI tube during an MRI procedure. An electronic display assembly includes an outer display tube housing for housing an electronic display device for generating images, the outer tube housing fabricated of an electrically conductive, non-ferrous material. An eye-tracker camera assembly includes an outer camera tube housing for housing an electronic camera sensor, the outer tube camera housing fabricated of an electrically conductive, non-ferrous material. An eyepiece assembly includes an outer housing. A beam splitter assembly includes a beam splitter block having a receptacle holding a beam splitter, the block formed of an electrically conductive, non-ferrous material. The beam splitter reflects light from the display onto the patient's eye, and allows light reflected from the patient's eye to pass to the camera sensor. In another embodiment as a display system, the eye-tracker camera assembly is omitted.

Systems and methods for mapping neuronal circuitry in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating a neuronal shape graph, including obtaining functional brain imaging data from an imaging device, where the functional brain imaging data includes a time-series of voxels describing neuronal activation over time in a patient's brain, lowering the dimensionality of the functional brain imaging data to a set of points, where each point represents the brain state at a particular time in the timeseries, binning the points into a plurality of bins, clustering the binned points, and generating a shape graph from the clustered points, where nodes in the shape graph represent a brain state and edges between the nodes represent transitions between brain states.

Methods and apparatus for evaluating an impact of injury to brain networks or regions are provided. The method comprises receiving MRI data of a brain of an individual, including a first volumetric dataset recorded using first imaging parameters and a second volumetric dataset recorded using second imaging parameters, combining, on a voxel-by-voxel basis, first MRI data based on the first volumetric dataset and second MRI data based on the second volumetric dataset to produce a volumetric injury map, performing a structural-functional analysis of one or more brain networks or regions by refining the volumetric injury map using a volumetric eloquence map that specifies eloquent brain tissue within the one or more brain networks or regions to determine an impact of injury within the one or more brain networks or regions, and displaying a visualization of the determined impact of injury within the one or more brain networks or regions.

Described here are systems and methods for generating quantitative perfusion parameter maps based on different longitudinal relaxation parameter maps that are produced from images acquired using non-selective and selective magnetic resonance imaging (“MRI”) data acquisition techniques.