Various methods and systems are provided for cerebral diagnosis. In one example, among others, a method includes obtaining EEG signals from sensors positioned on a subject; conditioning data from the EEG signals to remove artifacts; generating a cerebral network model based at least in part upon the conditioned data; determining network features based upon the cerebral network model; and determining a cerebral condition of the subject based at least in part upon the network features. In another example, a method includes determining a recording condition of a positioned EEG sensor and providing an indication of an unacceptable recording condition of the EEG sensor. In another example, a system includes an EEG recording module to acquire signals; a signal conditioning module to condition signal data; a signal analysis module to determine signal features and cerebral network features; and a condition classification module to determine a cerebral condition of the subject.

A concentric ring electrode (CRE) is provided that can sense characteristics of an electric potential, such as its Laplacian, more accurately than previous systems. The disclosed system and methods can optimize estimates of the Laplacian based on potentials measured by the CRE's electrodes, and can optimize the geometry of the CRE, in particular the ring electrodes' radii. Given the CRE's geometrical configuration, the system estimates the Laplacian's dependence on the measured potentials by computing a null space of a matrix associated with a series expansion of the potential. The system determines coefficients for the dependence, wherein a first coefficient is between 10 and 10 times, or between 6.5 and 7.5 times, a second coefficient. The system can optimize ranges for the radii by canceling at least one truncation term of the series expansion, estimating a higher-order truncation term as a function of the radii, and minimizing this estimated function.

A device for neurostimulation including an electrode structure for delivering stimulation pulses to a nerve as well as for processing and extracting evoked compound action potentials, wherein the electrode structure comprises at least a first anode, at least a second anode opposing the first anode and a plurality of cathodes arranged between said anodes, wherein said cathodes are asymmetrically arranged with respect to said at least first and second anode to permit evoked compound action potential sensing via the anode electrodes simultaneously with stimulation.

A method of automatically monitoring electrophysiological data in the brain and detecting clinically significant events comprises receiving signal inputs from at least one or more electrophysiological signal channels each indicative of electrical brain activity. For each of the one or more electrophysiological signal channels, the signals are filtered to obtain a first subchannel having a first frequency range and a second subchannel having a second frequency range. Appearance of a succession of correlated, non-synchronous events are detected in the waveforms of the one or more first subchannels to create a first detection output. Suppression of an amplitude of the signal is detected in one or more of the second subchannels correlated with the detected events in the one or more first subchannels to create a second detection output. The detected events are classified as a predetermined type of clinically significant event according to the first and second detection outputs. Spreading depolarization waves, peri-infarct depolarizations and other clinically significant events may be classified and displayed.

A system for assessing the physiological state of a subject, comprising: a task delivery module configured to communicate to a subject at least two sets of information, each set of information relating to a cognitive task requiring a spoken response from the subject; a response detection module configured to record the respective spoken responses from the subject as an audio signal, the response detection module comprising a microphone; an analysis module configured to analyze the audio signals corresponding to the respective spoken responses recorded by the response detection module to determine from the respective spoken responses one or more characteristics indicative of the physiological state of the subject, compare said characteristics from the respective spoken responses, and determine the physiological state of the subject based on said comparison.

Example aspects of a collector for a seizure detection device, a seizure detection device, and a method of detecting a seizure are disclosed. The collector for a seizure detection device can comprise a collector material configured to collect volatile organic compounds given off from a patient's skin; a wrapping configured to isolate the collector material from an external environment; a heater comprising a heating element, the heating element configured to emit a thermal pulse to desorb the volatile organic compounds from the collector material; and a mesh layer configured to prevent the collector material from contacting the patient's skin, wherein the collector material is received between the wrapping and the mesh layer.

Methods for detecting a seizure, by use of a wavelet transform maximum modulus (WTMM) algorithm applied to body data. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform such a method.

Disclosed herein are methods, systems, and apparatus for treating a medical condition of a patient, involving detecting a physiological cycle or cycles of the patient and applying an electrical signal to a portion of the patient's vagus nerve through an electrode at a selected point in the physiological cycle(s). The physiological cycle can be the cardiac and/or respiratory cycle. The selected point can be a point in the cardiac cycle correlated with increased afferent conduction on the vagus nerve, such as a point from about 10 msec to about 800 msec after an R-wave of the patient's ECG, optionally during inspiration by the patient. The selected point can be a point in the cardiac cycle when said applying increases heart rate variability, such as a point from about 10 msec to about 800 msec after an R-wave of the patient's ECG, optionally during expiration by the patient.

A method of constructing a value representative of an interaction between a plurality of brain regions. The method is implemented by an electronic device, which includes a processor and a memory. The method includes: obtaining, in the form of connectivity matrices, dynamic functional networks, which are representative of electrical signals measured for a predetermined number of points of interest, called nodes, within a cerebral cortex during a given time period; determining, from at least one of said connectivity matrices, a global efficiency score and at least one clustering coefficient score for each node of said at least one of said connectivity matrices; and calculating a value representative of an interaction between the plurality of brain networks in the form of a distribution ratio using said global efficiency score and said clustering coefficient scores.

The present invention concerns a method for determining whether brain regions of interest having reversible or irreversible pathology. The method includes acquiring over a predetermined period of time a plurality of magnetic resonance imaging (MRI) images for each brain region of interest; analyzing the MRI images to obtain quantitative measurements of the fractional anisotropy (FA) for each brain region of interest and determining that brain regions of interest have reversible pathology when the measured FA increases and then decreases over the predetermined period of time.