Systems and methods for neurofeedback-triggered therapy for neurological conditions in accordance with embodiments of the invention are illustrated. One embodiment includes a neurofeedback-triggered therapy system, including a plurality of vibrotactile stimulators, a brain activity recorder, and a controller, including a processor, and a memory, the memory containing a neurofeedback application, where in order to condition a user to reduce the symptoms of a neurological condition on demand triggered by upregulating sensorimotor rhythm (SMR) activity, the neurofeedback application directs the processor to obtain brain activity data from the brain activity recorder, identify sensorimotor rhythm (SMR) spindles in the brain activity data, and provide vibrotactile Coordinated Reset (vCR) stimulation to a user using the plurality of vibrotactile stimulators when SMR spindles are identified, where the vCR stimulation reduces the symptoms of a neurological condition of the user.

This disclosure relates to a system and method to implement a performance test to help evaluate a patient's neurological and cognitive function. The performance test can be executed by the patient autonomously using a portable computing device, such as a tablet computer or smart phone. The portable computing device can be programmed to execute a set of modules configured to assess motor and cognitive performance, such as a manual function test module, a cognitive processing speed test module, and a movement assessment test module. The set of modules can also include a collection module to aggregate test data from the manual function test module, the cognitive processing speed test module, and the movement assessment test module.

A system for assessment of neurocognitive and neuromotor control performance, the system comprising a portable force plate configured to collect force plate data indicative of movement and postural control of a subject as the subject performs a task, a depth sensing device configured to, simultaneously with the collection of the force plate data, collect depth data of the subject as the subject performs the task, an interface board configured to, simultaneously with the collection of the force plate data and the collection of the depth data, generate stimuli to instruct the subject to perform a particular task and to generate interface board data indication of input received from the subject in response to the stimuli, and a computer-based controller configured to execute one or more neurocognitive and neuromotor control performance assessment program to analyze the force plate data, the depth data, and the interface board data.

The present invention relates to an automated method of determining a kinetic state of a person. The method obtains accelerometer data from an accelerometer worn on an extremity of the person and processes the accelerometer data to determine a measure for the kinetic state. The present invention further relates to a device for determining a kinetic state of a person. The device comprises a processor configured to process data obtained from an accelerometer worn on an extremity of the person and to determine from the data a measure for the kinetic state. In the method and system the kinetic state is at least one of bradykinesia, dyskinesia, and hyperkinesia.

Systems and methods for assessing ocular cyclotorsion are provided utilizing an inter-aural axis location assembly, with a first gyroscope connected to the inter-aural axis location assembly, and a camera assembly for retinal imaging, with a second gyroscope connected to the camera assembly. A processor is utilized to calculate angles between the disc-foveal line, skull-horizontal axis, and earth-horizontal axis for use in determining ocular cyclotorsion, and the determinations or calculations may be used to generate a diagnostic report that may be provided via an output device.

Exemplary quantitative susceptibility mapping methods, systems and computer-accessible medium can be provided to generate images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach, which minimizes a cost function consisting of a data fidelity term and two regularization terms. The data fidelity term is constructed directly from the complex magnetic resonance imaging data. The first prior is constructed from matching structures or information content in known morphology. The second prior is constructed from a region having an approximately homogenous and known susceptibility value and a characteristic feature on anatomic images. The quantitative susceptibility map can be determined by minimizing the cost function. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining magnetic susceptibility information associated with at least one structure.

A system provides a burr hole cap assembly configured to secure a position of a lead implanted through a burr hole in a cranium of a patient. One or more electrodes are coupled to one or more components of the burr hole cap assembly. The one or more electrode is disposed within the burr hole cap assembly for sensing signals within a brain of the patient or stimulating a portion of the brain of the patient.

This document discusses a computer-implemented method of machine recognition of a physiological condition of a subject. The computer-implemented method comprises obtaining a video stream of the subject using a video data source; identifying, using processing circuitry, one or more areas within image frames of the video stream that contain a physiological feature of the subject; analyzing video data of the identified one or more areas in the image frames using the processing circuitry to detect change of the physiological feature between a first frame of video data and a later frame of video data; determining one or more change parameters of the physiological feature from the video data; and generating an indication of a symptom of Parkinson's Disease according to a detection criterion applied to the one or more change parameters.

A system for performing functional brain mapping includes a memory configured to store first data from a magnetic resonance imaging (MRI) system and second data from electrodes. The system also includes a processor operatively coupled to the memory and configured to identify first edges in a brain network based on the first data from the MRI and second edges in the brain network based on the second data from the electrodes. The processor is configured to determine, based on the first edges and the second edges, connectivity metrics for the brain network. The processor is also configured to generate, based at least in part on the connectivity metrics, a decoder that differentiates between critical nodes and non-critical nodes in the brain network.

Disclosed is a stent-mesh and microelectrode assembly that is deployable using a catheter or cannula to form a neural interface for recording and/or stimulation of neural tissue. In some embodiments, the assembly may include a thin-film microelectrode array attached to a spring-like stent-mesh component. The thin-film microelectrode array may include an electrode body having two lateral wing-like appendages located distal to a thin-film flexible cable that terminates at the proximal end in a thin-film connector region. The stent-mesh may be attached to the thin-film microelectrode array and configured to be advanced to a target area in a collapsed state and then expanded after reaching the target area to transition the thin-film microelectrode array to a deployed configuration. Accordingly, the assembly may deliver the thin-film microelectrode array to a target area in a minimally invasive manner.