In some embodiments, an electrical probing stimulation pattern is delivered to the brain of a subject. A response to the electrical probing is analyzed, and used to determine a type of predicted seizure. The type of predicted seizure may be used to determine a treatment electrical stimulation pattern that may be administered to prevent onset of the predicted seizure. In some embodiments, a predicted seizure metric is calculated, which, in some implementations, acts as an indicator of “distance” (e.g., probability distance) to the predicted seizure. Furthermore, a subject model may be trained to assist with determining the type of predicted seizure, and determining the treatment electrical stimulation pattern.

A method of performing personalized neuromodulation on a subject is provided. The method includes acquiring functional magnetic resonance imaging (fMRI) data of a brain of the subject. The method also includes calculating functional connectivity of the brain between a voxel in a subcortical region of the brain and a voxel in a cortical region of the brain, based on the fMRI data. The method also includes identifying a target location in the brain to be targeted by neuromodulation based on the calculated functional connectivity.

A trial stimulation system includes a trial electrical stimulator. Additionally, systems for securing a disposable trial stimulator to the body of a patient are described, which may function to improve the durability of the system during the trial period and reduce the risk of damage or malfunction to the system due to lead/electrode dislocation and/or off-label uses like showering or bathing with the trial stimulator still secured to the body.

The present disclosure describes methods and devices for increasing human life span (longevity) via electromagnetic treatment. An array of electromagnetic emitters are positioned proximal to a subject. An electromagnetic wave generator generates electromagnetic fields having a predetermined set of parameters. Life span is increased by applying the electromagnetic waves to the subject through the electromagnetic emitters.

Embodiments may provide self-guided, self-directed diagnostics and treatment of neural conditions. For example, a system may comprise a processor, memory accessible by the processor, and program instructions and data stored in the memory, a plurality of stimulation devices connected to signal output circuitry interfacing the processor with the stimulation devices, program instructions and data to control the stimulation devices to generate and transmit stimulation signals, a plurality of sensing devices connected to signal input circuitry interfacing the processor with the sensing devices, program instructions and data to receive sensed signals from the sensing devices, a communication device adapted to wirelessly communicate with a server computer system, and program instructions and data to perform dynamic closed loop feedback of the stimulation signals based on the received sensed signals to provide self-guided, self-directed diagnostics and treatment of neural conditions using at least one recipe for a treatment strategy guided by artificial intelligence.

The invention features methods and devices useful for stimulating brain tissue in a subject via electrodes within cranial bone. These methods and devices may be utilized for the detection, prevention, and/or treatment of neurological disorders via electric stimulation. Additionally, the methods and devices disclosed herein may be useful for the treatment, inhibition, and/or arrestment of the growth of tumors.

Treating kenosis may comprise the following steps: measuring the electrodermal activity of a person by means of an EDA sensor; assessing, on the basis of the electrodermal activity measured, whether the person is currently affected by kinetosis; generating electrical pulses at an electrode in contact with the person's skin in order to treat the kinetosis on the basis of the assessment as to whether the person is currently affected by kinetosis. The sensor and the electrode may be integrated in a device that can be worn on the person's body.

The present disclosure provides systems and methods that include or otherwise leverage a machine-learned brain injury location model to predict locations of brain injury in a patient based on test data associated with the patient, such as, for example, behavioral test data. For example, the machine-learned brain injury location model can be trained on training data associated with a corpus of patients, where the training data includes sets of example test data (e.g., behavioral test data) respectively labeled with ground truth brain injury locations.

Systems and methods are provided to combine multiple stimulation modalities to significantly increase the effectiveness of non-invasive stimulation. Multiple sensor and stimulation devices and modalities can be combined into a single, compact unit that minimizes the need for additional sensors or stimulation devices. The system features several subunits, referred to as sensory and stimulation devices (SSD), that are integrated into a headphone setup. The system is controlled by a centralized controller that communicates with all of the SSDs and with an external computer system that delivers learning material synchronized with the delivery of stimulations and the collection of user responses based on physiological signals.

Disclosed herein are systems and methods for electrically modulating tissue. Systems can include a current generator; at least one implantable working electrode, the at least one implantable working electrode configured to be in electrical communication with the current generator; at least one indifferent electrode; and a controller configured to signal the current generator to: generate a set of currents with a set of initial polarities to be delivered to the working electrodes; and wherein the at least one indifferent electrode absorbs a bias current which is equal in magnitude and opposite in polarity to a summation of the set of currents.