Mayo Foundation for Medical Education and Research

Cadence Neuroscience, Inc.

Squire Matthew Stead

Gregory A Worrell

Vaclav Kremen

Brent M Berry

Benjamin H Brinkmann

Benjamin I Brinkmann

Brian Lundstrom

Warren Douglas Sheffield

Kent Leyde

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.

Therapy systems with quantified biomarker targeting, including for epilepsy treatment, and associated systems and methods

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.

Multiscale brain electrode devices and methods for using the multiscale brain electrodes

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.

System and method for classifying and modulating brain behavioral states

Growing community of inventors

Bozeman, MT, United States of America

Squire Matthew Stead