Abstract: This specification discloses systems, methods, devices, and other techniques for determining the location of a seizure-generating region of the brain of a mammal.

Abstract: This specification discloses a brain electrode device. The brain electrode device includes a set of contact points and a set of sub-circuits. The sub-circuits include sensor ports configured to connect to the contact to the respective ones of the contact points. The device can further include an intelligent multiplexer that aggregates signals from the set of sub-circuits and generates an aggregate signal. The aggregate signal is transmitted to a signal acquisition device.

Abstract: A behavioral state of a brain is classified by automatically selecting one or more sensors based on the signals received from each sensor and one or more selection criteria using one or more processors, calculating at least one measured value from the signal(s) of the selected sensor(s), classifying the behavioral state as: (a) an awake state whenever the measured value(s) for the selected sensor(s) is lower than a first threshold value, (b) a sleep state (N2) whenever the measured value(s) for the selected sensor(s) is equal to or greater than the first threshold value and the measured value(s) is not greater than a second threshold value, or (c) a slow wave sleep state (N3) whenever the measured value(s) from the selected sensor(s) is greater than the first threshold value and the measured value(s) is greater than the second threshold value, and providing a notification of the classified behavioral state.

Abstract: An electrode system is provided for sensing and/or stimulating a brain while reducing risk associated with the sensing and stimulation. The system is scalable to different numbers of contacts to span large areas of the brain. The system includes an electrode array made with a plurality of patches connected together physically and electrically. The array and/or each patch can have its own respective intelligent multiplexer and/or intelligent demultiplexer to aggregate the respective sense and/or stimulate signals, thereby reducing the wire count down to a single wire or wireless link. The array or each patch can have an embedded ground plane, thus minimizing the susceptibility to external EM noise. Moreover, the physical resolution of the array or each patch can be adjusted as needed.

Abstract: Occurrence of epileptic and other seizures are predicted or otherwise forecasted in ambulatory patients using a wrist-worn device and a trained machine learning algorithm. A multi-stage training process is used to train the machine learning algorithm. A first stage of the training process is implemented on EEG data obtained from bed-ridden, or otherwise non-ambulatory, subjects. A second stage of the training process may be implemented on EEG data obtained from ambulatory subjects. A third stage of the training process is implemented on a variety of data provided by a wrist-worn device. As an example, these data can include one or more of motion data (e.g., accelerometer data), skin temperature data, heart rate data, time of day, and so on. In some implementations, training data can be taken from early portions of each patient's wearable data, while testing results can be computed from the later portions, thereby skipping transfer learning steps.

Abstract: Multiscale brain electrodes can be used for spatiotemporal mapping, probing, and therapeutic modulation of the human brain. The applications for such functional mapping and electrical stimulation modulation span, for example, neurological and psychiatric diseases, and brain rehabilitation.

Abstract: Described herein are methods and systems for clustering events in temporal signals, such as physiological signals. In some embodiments, a method for identifying events of interest from noisy physiological signal data is provided, the method comprising: receiving physiological signal data; generating filtered signal using a filter defined by a spectral band; generating signal peak data by identifying, for each of a plurality of time windows, a signal peak in the filtered data; grouping waveforms corresponding to the time windows based on the signal peak data to generate clustered event data; determining parameters for a noise beta distribution; identifying a cluster of waveforms that does not fall within the noise beta distribution; generating a graphical representation based on the waveforms in the cluster; and displaying the graphical representation.

Abstract: Therapy systems with quantified biomarker targeting, including for epilepsy treatment, and associated systems and methods, are disclosed. A representative computer-based method for establishing epilepsy treatment parameters for a patient includes receiving multiple indications of interictal EEG biomarkers over a period of time and processing the multiple indications to produce a processed biomarker. The processed biomarker is then used to identify at least one target location at the patient's brain to receive an electrical therapy signal to reduce or eliminate epileptic activity in the patient, and at least one additional signal delivery parameter in accordance with which the electrical therapy signal is to be delivered.

Abstract: A cortical access system for delivering a medical tool into an epidural and/or subdural space and onto a patient's brain tissue through a cranium opening comprises: a turret including a proximal end portion, a distal end portion, and a first channel extending from an entrance opening to an exit opening, the first channel configured to guide the medical tool from the entrance opening to the exit opening for positioning on the patients brain tissue. The medical tool may be an electrode or an endoscope.

Abstract: Electrical stimulation of the brain in the lateral temporal cortex has been discovered to enhance memory performance. Also, consistent patterns of pupil response have been discovered to exist across and within distinct phases during encoding and recall of word lists and it is known that these pupillary changes also correlate with intracranial electrophysiologic activity. This document also describes systems and methods for enhancing memory and/or cognitive performance using these features as input for the delivery of electrical stimulation to the lateral temporal cortex of the brain.

Abstract: Methods for modulating the release and content of extracellular vesicles from target cells using electrical stimulation are provided. Compositions comprising extracellular vesicles or extracts of extracellular vesicles and methods of administering the compositions to a subject are also provided.

Abstract: A behavioral state of a brain is classified by automatically selecting one or more sensors based on the signals received from each sensor and one or more selection criteria using one or more processors, calculating at least one measured value from the signal(s) of the selected sensor(s), classifying the behavioral state as: (a) an awake state whenever the measured value(s) for the selected sensor(s) is lower than a first threshold value, (b) a sleep state (N2) whenever the measured value(s) for the selected sensor(s) is equal to or greater than the first threshold value and the measured value(s) is not greater than a second threshold value, or (c) a slow wave sleep state (N3) whenever the measured value(s) from the selected sensor(s) is greater than the first threshold value and the measured value(s) is greater than the second threshold value, and providing a notification of the classified behavioral state.

Abstract: This specification discloses systems, methods, devices, and other techniques for determining the location of a seizure-generating region of the brain of a mammal.

Abstract: Multiscale brain electrodes can be used for spatiotemporal mapping, probing, and therapeutic modulation of the human brain. The applications for such functional mapping and electrical stimulation modulation span, for example, neurological and psychiatric diseases, and brain rehabilitation.

Abstract: Described herein are methods and systems for clustering events in temporal signals, such as physiological signals. In some embodiments, a method for identifying events of interest from noisy physiological signal data is provided, the method comprising: receiving physiological signal data; generating filtered signal using a filter defined by a spectral band; generating signal peak data by identifying, for each of a plurality of time windows, a signal peak in the filtered data; grouping waveforms corresponding to the time windows based on the signal peak data to generate clustered event data; determining parameters for a noise beta distribution; identifying a cluster of waveforms that does not fall within the noise beta distribution; generating a graphical representation based on the waveforms in the cluster; and displaying the graphical representation.

Abstract: A system and method for time-frequency analysis in which acquired signals are modeled as frictionally damped harmonic oscillators having a friction factor that is not a free parameter are provided. The friction factor is selected as a function of the frequency value of the associated oscillator, such that an increase in both temporal and spectral resolution are provided over existing time-frequency analysis methods. The friction factor is also selected to define a spectral band, within which the given oscillator can detect data oscillations. The properly selected friction factor thereby provides the analysis over a broad spectral range that can span many orders of magnitude.

Abstract: A system and method for time-frequency analysis in which acquired signals are modeled as frictionally damped harmonic oscillators having a friction factor that is not a free parameter are provided. The friction factor is selected as a function of the frequency value of the associated oscillator, such that an increase in both temporal and spectral resolution are provided over existing time-frequency analysis methods. The friction factor is also selected to define a spectral band, within which the given oscillator can detect data oscillations. The properly selected friction factor thereby provides the analysis over a broad spectral range that can span many orders of magnitude.

Abstract: Developing a measure of critical systems-like behavior in an epilepsy patient in order to map epileptic networks, either passively or evoking responses through subthreshold stimulation, and to apply “therapeutic” stimulations to the patient that cause smaller, but more frequent dissipations of “energy,” a transcription product, subclinical electrophysiological activity or seizures in order to raise the clinical seizure initiation threshold, through releasing accumulated interictal energy in a seizure onset zone or elsewhere in the epileptic network, thereby preventing occurrence of larger more debilitating seizures.

Abstract: A multiscale recording and stimulation system for identifying and responding to epileptiform activity. The system includes the use of microelectrode arrays (e.g., 10-100 micron electrodes with 100-500 micron spacing) to monitor iEEG activity of submillimeter regions or islands in the epileptogenic zone of brain tissue (e.g., independent microdomains in the range of 100-1000 micron diameter).

Abstract: The invention described is a device and method for repositioning a patient in a bed. Bedding material positioned underneath the patient is wound by a ratchet system and a crossbeam that allows for the patient to be repositioned when the bedding material is drawn around the crossbeam. The patient is moved without physical contact or being lifted by patient caregivers. In one embodiment, the device allows for the patient to be repositioned by a single operator caregiver. In another embodiment, the device can be quickly removed from the patient's bed.