The invention relates to a method for determining a coupling between magnetometers of an array of N magnetometers, for example with optical pumping, where each magnetometer comprises a field cancellation system capable of being activated to operate the magnetometer in zero field. This method comprises a first phase (P1) during which the N magnetometers are separated into N−1 magnetometers whose field cancellation system is deactivated and a measuring magnetometer whose field cancellation system is activated. This first phase comprises: the generation (GENj), by the magnetometers, of a plurality of reference magnetic fields of known amplitudes and distinct directions, the measurement (MESi), by the measuring magnetometer, of the ambient magnetic field on a plurality of measurement axes determination (CALCij) of coupling coefficients between the measuring magnetometer and each of the N magnetometers from said measurement and said known amplitudes.

An information display method displays brain activity information calculated using a biological signal measured from a living body so as to be superimposed on a morphological image including a plurality of sectional images. The information display method includes: acquiring mask information representing an area belonging to a brain in the morphological image; and detecting one or more extremal value positions with spatial extremal values in the brain activity information based on the mask information. A sectional image corresponding to the one or more extremal value positions is acquired from the morphological image. A brain activity distribution corresponding to the sectional image is acquired. The brain activity distribution is displayed so as to be superimposed on the sectional image.

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.

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.

A device is provided for the stimulation of neurons that includes a non-invasive stimulation unit to generate stimuli in multiple stimulation channels, where the stimulation unit stimulates a neuron population in the brain and/or spinal cord of a patient in different locations for each of the stimulation channels. Moreover, the device includes a control unit that controls the stimulation unit to generate repetitive bursts in each of the stimulation channels, where each of the bursts includes multiple stimuli and is designed so that they do not reset the phase of the neuronal activity of the respective stimulated neurons.

Aspects of the disclosure can provide a method and device for detecting EEG signals of a first person in proximity to the device. The device can include a non-contact EEG directional circuit having non-contact sensors, the non-contact EEG directional circuit being configured to detect the EEG signals produced by a brain of the first person without making contact with the first person. The device can further include a processor coupled to the non-contact EEG directional circuit that is configured to analyze the EEG signals to detect patterns in the EEG signals that correspond to a state of the first person in proximity to the non-contacting sensor and feedback device that is configured to provide a second person with an indication of the state of the first person in proximity to the non-contacting sensor. Additionally, the device can include a contact EEG circuit having sensors that are in contact with the second person and that is configured to detect second EEG signals produced by a brain of the second person, wherein the processor is coupled to the contact EEG circuit and is configured to analyze the second EEG signals to detect patterns in the second EEG signals that correspond to a state of second the person.

Methods and systems for analyzing brain functional activity data are provided. Also provided are systems that find use in performing the present methods.

A system includes a communication interface for receiving information that includes data collected from an array of neural activity sensors that were placed on a patient during a session of applied stimuli. A processor is configured to analyze the received information to obtain a frequency spectrum for each sensor for a given stimulus of the applied stimuli. Neural network frequencies that correspond to an indicated impaired functionality of the nervous system of the patient are selected. For each selected frequencies, a spatial map of neural activity is generated. Each of the generated spatial maps is compared with retrieved corresponding spatial maps to identify treatment frequencies from among the selected neural network frequencies. A treatment protocol is generated for input into an electromagnetic field generator to cause the generator to apply to the patient an electromagnetic field at each identified treatment frequency.

A system includes a communication interface for receiving information that includes data collected from an array of neural activity sensors that were placed on a patient during a session of applied stimuli. A processor is configured to analyze the received information to obtain a frequency spectrum for each sensor for a given stimulus of the applied stimuli. Neural network frequencies that correspond to an indicated impaired functionality of the nervous system of the patient are selected. For each selected frequencies, a spatial map of neural activity is generated. Each of the generated spatial maps is compared with retrieved corresponding spatial maps to identify treatment frequencies from among the selected neural network frequencies. A treatment protocol is generated for input into an electromagnetic field generator to cause the generator to apply to the patient an electromagnetic field at each identified treatment frequency.

Embodiments of the present disclosure sets forth a computer-implemented method comprising receiving, from at least one sensor, sensor data associated with an environment, computing, based on the sensor data, a cognitive load associated with a user within the environment, computing, based on the sensor data, an affective load associated with an emotional state of the user, determining, based on both the cognitive load at the affective load, an affective-cognitive load, determining, based on the affective-cognitive load, a user readiness state associated with the user, and causing one or more actions to occur based on the user readiness state.