A system for performing deep brain stimulation on a brain of a patient is disclosed. The system comprises one or more recording arrays, at least one stimulation array, and a processor. The recording arrays, which may be minimally invasively inserted to a target recording site of the brain, include recording electrodes having a diameter of less than about 1 mm and having a spacing of less than about 1 mm therebetween. The stimulation array, which may be inserted to a target stimulation site within the deep brain, includes at least one stimulation electrode. The processor is configured to receive one or more recorded signals from the recording arrays at the target recording site, determine a neurological state of the brain based on the recorded signals, and deliver electrical stimulation to the target stimulation site through the stimulation array based on the neurological state in order to electrically stimulate the brain.

A system for measuring synchrony between two or more regions, or within a single region, of a subject's brain. The system can include a signal conditioning module in communication with a phase extraction module. The signal conditioning module can receive an oscillating signal, bandpass filter the signal, and convert the signal to its real and imaginary components. The phase extraction module can receive the real and imaginary components, determine the quadrant of the oscillating signal on the complex plane based on the real and imaginary components, and determine the phase of the oscillating signal using a linear arctangent approximation based on the determined quadrant. The system can calculate synchrony metrics based on the determined phase.

Arousal of a patient is enhanced and wakefulness modulated by neurostimulation. Bioelectrical activity of the nervous system of the patient is monitored and characteristics of the monitored bioelectrical activity associated with a state of reduced arousal and/or wakefulness are detected. In response to such characteristics, stimulation signals selected to arouse the patient are generated and supplied to stimulation transducers to stimulate a neural network of a patient associated with arousal.

A system and method for selecting a trajectory within the brain for placement of a stimulation probe for deep brain stimulation (DBS) treatment of an individual afflicted with an illness, condition, or disorder. Electrophysiological data attained within the brain of the individual is utilized with clinically determined regions of stimulation (for example, volume of tissue activated (VTA)) of other similarly-afflicted individuals having a positive operative outcome to assign an objective score, independent of anatomical structure (for example, not constrained within the subthalamic nucleus (STN)) to facilitate selection among prospective trajectories for placement of the stimulation probe during DBS.

A user interface of a computing device for programming a medical device configured to review historical user session data while disconnected from the medical device. During a programming session, the user interface on the computing device may include features to control the functionality of the medical device as well as view and manipulate available data stored at the medical device. The user interface may interactively view screens and features and manipulate data using the programming user interface, e.g., as if the external programming device were in a live programming session with the medical device, but while disconnected from the medical device and not in a live programming session. As one example, the user interface of the external programming device may permit flexible, extensive manipulation and viewing of sensed signals, patient events, and operational information, such as patient adjustments made over time or coincident with particular signals or events.

Example devices are disclosed herein that include a first elongated band coupled to a first housing to be located on a first side of a head of a subject and a second housing to be located near a second side of the head of the subject, the first elongated band comprising a first set of electrodes. The example device also includes a second elongated band coupled to the first housing and to the second housing, the second elongated band comprising a second set of electrodes. In addition, the device includes a third elongated band coupled to the first housing and to the second housing, the third elongated band comprising a third set of electrodes.

Provided are a recording and/or stimulation neural electrode that is flexible and can be tightly attached to the brain surface, and shows no deterioration in adhesiveness even when embedded for a long period of time; and a method using such neural electrode. A neural electrode of the present invention includes an attaching part having at least: an insulating sheet whose one surface serves as an attaching surface to be attached to the brain surface; and a conductive wiring formed on a surface of the insulating sheet that is opposite to the attaching surface, wherein multi-point electrode parts of the conductive wiring are exposed from hole parts of the insulating sheet, and wherein the insulating sheet is an elastomer thin film having a thickness of 2 to 100 ?m, and the conductive wiring has a thickness of 10 ?m or smaller.

Provided are a recording and/or stimulation neural electrode that is flexible and can be tightly attached to the brain surface, and shows no deterioration in adhesiveness even when embedded for a long period of time; and a method using such neural electrode. A neural electrode of the present invention includes an attaching part having at least: an insulating sheet whose one surface serves as an attaching surface to be attached to the brain surface; and a conductive wiring formed on a surface of the insulating sheet that is opposite to the attaching surface, wherein multi-point electrode parts of the conductive wiring are exposed from hole parts of the insulating sheet, and wherein the insulating sheet is an elastomer thin film having a thickness of 2 to 100 ?m, and the conductive wiring has a thickness of 10 ?m or smaller.

There is provided a system and method for classifying time series data for state identification. The method including: training a machine learning model to classify occurrences of the state; receiving a new time series data stream; determining whether a current sample in the new time series data stream is an occurrence of the state by determining a classified feature vector, the classified feature vector determined by passing the current sample and samples in at least one continuous sampling window into the trained machine learning model, each continuous sampling window including a plurality of preceding samples from the time series data, an epoch for each respective continuous sampling window determined according to a respective exponential decay rate; and outputting the determination of whether the current sample is an occurrence of the state.

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.