An improved system for assessing cognitive function is described that uses tracked electrical activity of the brain of the individuals in response to a specific sequence of stimuli in generating data sets, which, for example, can be encapsulated as a data structure. The data sets can include tracked specific response types, at different times and amplitudes, including, but not limited to, event related potential signal components. Brainwave features including, event related potentials, are tracked in relation to both pre-attentive brain responses and consciously controlled attention responses.

A method for classifying input data includes receiving the input data that describe an object, wherein the input data corresponds to plural classes; associating the input data with voxels that describe the object; calculating a real-number sequence X(n), which is associated with a measured parameter P that describes the object; quantizing the real-number sequence X(n) to generate a finite set sequence Q(n), where n describes a number of levels; generating a voxel-based weight matrix for each class of the input data; and calculating a score S for each class of the plural classes, based on a corresponding voxel-based weight matrix. The score S is a number that indicates a likelihood that the input data associated with a given sample belongs to a class of the plural classes.

A sensor for evaluating tissue of a subject is provided. The sensor includes a flexible spine disposable on the subject, a flexible member that includes first and second flexible member portions accommodated within the flexible spine, a light source, a detector and a rigid member. The light source is attached to the first flexible member portion and is configured to emit light toward the tissue. The detector is attached to the second flexible member portion and is configured to receive the light having reflected off the tissue. The rigid member is coupled with the first and second flexible member portions. In response to a curvature of the flexible spine, the rigid member moves the first and second flexible member portions along the flexible spine to adjust a distance between the light source and the detector.

A method of performing personalized neuromodulation on a subject is provided. The method includes acquiring functional magnetic resonance imaging (fMRI) data of a brain of the subject. The method also includes calculating functional connectivity of the brain between a voxel in a subcortical region of the brain and a voxel in a cortical region of the brain, based on the fMRI data. The method also includes identifying a target location in the brain to be targeted by neuromodulation based on the calculated functional connectivity.

Apparatus for applying Transcranial Magnetic Stimulation (TMS) to an individual, wherein the apparatus comprises: a head mount for disposition on the head of an individual; and a plurality of magnet assemblies for releasable mounting on the head mount, wherein each of the magnet assemblies comprises a permanent magnet, and at least one of (i) a movement mechanism for moving the permanent magnet and/or (ii) a magnetic shield shutter mechanism, for selectively providing a rapidly changing magnetic field capable of inducing weak electric currents in the brain of an individual so as to modify the natural electrical activity of the brain of the individual; wherein the number of magnet assemblies mounted on the head mount, their individual positioning on the head mount, and their selective provision of a rapidly changing magnetic field is selected so as to allow the spatial, strength and temporal characteristics of the magnetic field to be custom tailored for each individual, whereby to provide individual-specific TMS therapy, to assist in diagnosis or to map out brain function in neuroscience research.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a mental health prediction for a patient. One of the methods includes obtaining brain data captured by one or more sensors characterizing a brain of a patient; determining a network graph from the brain data, wherein: a node of the network graph corresponds to a parcellation in the brain of the patient, and a subset of nodes of the network graph corresponds to a particular functional area of the brain; generating, for each of a plurality of nodes in the network graph, a measure of centrality of the node; generating, for the particular functional area of the brain and using the generated measures of centrality, a health score representing a measure of health of the functional area of the brain; generating a mental health prediction for the patient using the health score.

Devices for localizing an intracerebral hematoma or blood mass in brain tissue. The devices include an elongate probe a color sensors and a light emitter on the distal end of the probe. The color sensors produce a signal corresponding to the color of light reflected into the color sensors. A display is provided to indicate the color detected.

A method for assessing neurological function in a subject includes a) prompting a user to follow a moving saccade-evoking stimulus on a display, b) tracking eye movement of the subject while the user follows the moving stimulus, c) collecting a first eye conjugacy data of the subject relating to the saccade-evoking stimulus, and d) comparing the first eye conjugacy data with a second eye conjugacy data, the second eye conjugacy data relating to an anti-saccade stimulus.

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

In one aspect, a computer-implemented method corrects a multi-sphere head model used in dipole localization for a set of magnetic field sensors (MEG sensors) by replacing ghost spheres with replacement spheres that are not ghost spheres. One type of ghost sphere completely encloses the brain volume but is so large that a center of the sphere is outside the brain volume. Another type of ghost sphere lies entirely outside the brain volume. Various approaches for correcting ghost spheres are disclosed.