Disclosed is an implantable neural stimulation device, the device comprising: an electrode array comprising a plurality of electrodes, the electrodes comprising a first stimulus electrode and a second stimulus electrode; a pulse generator connectable to the stimulus electrodes, the pulse generator configured to generate a multiphasic stimulus pulse of current from a supply voltage and deliver the multiphasic stimulus pulse via the stimulus electrodes to an electrically excitable tissue in order to evoke a neural response on a neural pathway in the electrically excitable tissue; and modulation circuitry connectable to a regulation electrode of the plurality of electrodes, the modulation circuitry configured to modulate a voltage on the regulation electrode during the delivery of the multiphasic stimulus pulse such that a corresponding voltage on each stimulus electrode varies substantially symmetrically around a value which is about half the supply voltage over the multiphasic stimulus pulse.

An electrical stimulation system includes an implantable control module configured and arranged for implantation in a body of a patient. The implantable control module includes a processor that generates and delivers electrical stimulation pulses or pulse bursts at a pathological frequency or with a temporal separation between pulses or pulse bursts individually selected based on a pre-determined distribution function based on a pre-selected pathological frequency.

A method of analyzing neurophysiological data is disclosed. The method comprises: identifying activity-related features in the data, constructing a brain network activity (BNA) pattern having a plurality of nodes, each representing a feature of the activity-related features, and assigning a connectivity weight to each pair of nodes in the BNA pattern.

A method for delivering electrical stimulation to alter a cognitive state of a user, the method comprising: monitoring a brain signal from the user via one or more intracranial electrodes implanted in the brain of the user while the user is presented with a stimulus; comparing the brain signal to a testing phase biomarker, wherein the testing phase biomarker is derived from a cognitive test performed on a contributor during a testing phase; delivering electrical stimulation to a brain of the user based on the comparing step to steer the brain of the user towards a high performance cognitive state.

A system and method for treating neural lesions is disclosed. The inventive method comprises determining the location of a neural lesion in a patient and applying a selected modality to a dermatomal region on the patient to compensate for the existence of the neural lesion. The selected modality includes the implementation of a method or device to activate any number of receptors located in the skin of the patient. The modality implemented in the correct dermatomal region initiates a somatosensory signal to the brain which responds with a corresponding motor signal to the affected area. Proper implementation of the selected modality supports neuroplasticity and neurogenesis to create a permanent solution to overcome the neural lesion.

Systems, devices, and techniques for adjusting electrical stimulation based on a posture state of a patient are described. For example, processing circuitry is configured to control delivery of a first informed stimulation pulse defined by at least a first value of an informed stimulation parameter, control delivery of a control stimulation pulse to a patient, the control stimulation pulse defined by at least a first value of a control stimulation parameter, determine a characteristic value of the ECAP signal elicited from the control stimulation pulse, receive, from a sensor, a posture state signal representing a posture state of the patient, and adjust, based on the characteristic value of the ECAP signal and the posture state signal, the first value of the informed stimulation parameter to a second value of the informed stimulation parameter.

In some aspects, the present disclosure describes a method of predicting an expected treatment outcome of a subject, comprising administering a gamma oscillation-inducing non-invasive sensory stimulus to the subject, measuring a response from the subject, and predicting, using a machine learning algorithm, the expected treatment outcome of the subject based at least partially on the measured response. In some aspects, the present disclosure also provides methods for personalizing gamma therapy treatment by adjusting parameters associated with the gamma oscillation-inducing non-invasive sensory stimulus based on a subject's response to the gamma oscillation-inducing non-invasive sensory stimulus.

In some aspects, the present disclosure describes a method of predicting an expected treatment outcome of a subject, comprising administering a gamma oscillation-inducing non-invasive sensory stimulus to the subject, measuring a response from the subject, and predicting, using a machine learning algorithm, the expected treatment outcome of the subject based at least partially on the measured response. In some aspects, the present disclosure also provides methods for personalizing gamma therapy treatment by adjusting parameters associated with the gamma oscillation-inducing non-invasive sensory stimulus based on a subject's response to the gamma oscillation-inducing non-invasive sensory stimulus.

The invention relates to a method (30) comprising: acquiring (32), using an EEG monitoring system (12), EEG data from a subject (16), said data being recorded over a first time period, said first time period including an event; acquiring (34), using a heart rate monitoring system (14), heart rate data from the subject (16), said heart rate data being recorded over a second time period, said second time period also including the event; scaling (36) an EEG template to fit event EEG data at a specified latency following the event to derive an EEG scaling factor; determining (38) a heart rate change due to the event using the heart rate data; and combining (40) the EEG scaling factor and the heart rate change to generate a score indicative of a response of the subject to the event.

The invention relates to a method (30) comprising: acquiring (32), using an EEG monitoring system (12), EEG data from a subject (16), said data being recorded over a first time period, said first time period including an event; acquiring (34), using a heart rate monitoring system (14), heart rate data from the subject (16), said heart rate data being recorded over a second time period, said second time period also including the event; scaling (36) an EEG template to fit event EEG data at a specified latency following the event to derive an EEG scaling factor; determining (38) a heart rate change due to the event using the heart rate data; and combining (40) the EEG scaling factor and the heart rate change to generate a score indicative of a response of the subject to the event.