The General Hospital Corporation

Massachusetts Institute of Technology

University of Washington

Boston University

Darin D Dougherty

Alik S Widge

Emad N Eskandar

Uri Tzvi Eden

David A Borton

Meng-Chen Lo

Chet Moritz

Thilo Deckersbach

Ali Yousefi

Kristen Ellard

Angelique Paulk

Nicole Provenza

Xinyi Deng

Ishita Basu

In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, methods, and media) for detecting an effortful mental state providing real-time deep brain stimulation to enhance performance of effortful mental tasks are provided. In some embodiments, system for detecting and facilitating effortful mental states is provided, the system comprising: monitoring sensors to capture neural activity from a subject's brain; an implanted stimulator to provide electrical stimulation to the subject's brain; a hardware processor programmed to: correlate activity in a first and second region of the subject brain during task performance; correlate activity in the first and second regions during task non performance; train a support vector machine (SVM) using the correlations as first and second class examples; and provide stimulation to augment brain function when the SVM indicates, based on activity in the first and second regions, the subject is in the mental state.

Systems, methods and media for detecting and facilitating an effortful mental task by providing real-time deep brain stimulation

A method of using deep brain stimulation (DBS) for treating mental disorders associated with high connectivity in brain circuits, such as cortico-striato-thalamo-cortical (CSTC) circuits, is provided. The method comprises providing a first electrical signal having a first frequency to a first electrode implanted at a first location within a brain circuit and providing a second electrical signal having a second frequency to a second electrode implanted at a second location within the brain circuit. The first frequency and the second frequency are unequal.

Systems and methods for treating mental and neurological disorders involving abnormally high brain connectivity

A system and methods for monitoring and controlling a mental state of a subject are provided. In some aspects, a method includes receiving physiological and behavioral data acquired using the plurality of sensors while the subject is performing a task, and applying, using the data, a state-space framework to determine a plurality of decoder parameters correlating brain activity and behavior with a mental state of the subject. The method also includes identifying the mental state of the subject using the decoder parameters, and generating a report indicating the mental state of the subject. In some aspects, the method further includes generating, based on the identified mental state, a brain stimulation to treat a brain condition of the subject.

System and methods for monitoring and improving cognitive flexibility

Systems and methods for controlling brain activity are provided. In some aspects, a method for controlling a synchrony in brain activity of a subject is provided. The method includes positioning stimulators to stimulate a first region and a second region of a subject's brain, and selecting a pulsed stimulation sequence comprising a first stimulation to the first region and a second stimulation to the second region, wherein the stimulations are timed to be substantially concurrent and separated by a phase lag. The method also includes delivering the pulsed stimulation sequence, using the stimulators, to control a synchrony between the first region and the second region at a predetermined frequency.

Systems and methods for controlling brain activity

A system and method for diagnosing mental or emotional disorders is disclosed. An affective BCI component is incorporated into a closed loop, symptom&#x2014;responsive psychiatric DBS system. A series of input data related to a brain of the patient is acquired while the patient performs a battery of behavioral tasks. From the patient's performance on the task battery, the system identifies what is abnormal for that individual patient in terms of functional domains. Patient-specific behavioral measurements are then linked to patterns of activation and de-activation across different brain regions, identifying specific structures that are the source of the patient's individual impairment.

Method for cross-diagnostic identification and treatment of neurologic features underpinning mental and emotional disorders

A closed-loop brain computer interface (BCI) system for treating mental or emotional disorders with responsive brain stimulation is disclosed. The system includes an implanted module including a processor configured to process neural data acquired from one or more electrodes in communication with one or more brain regions of a patient. The implanted module is configured to deliver stimulation to electrodes in contact with the brain regions. An interface is in wireless communication with the implanted module and configured to receive the neural data from the implanted module. A controller processes the patient's brain and body signals to provide patient intentional control over the stimulation applied to the one or more electrodes and to control the stimulation.

Hybrid system for treating mental and emotional disorders with responsive brain stimulation

Growing community of inventors

Boston, MA, United States of America

Darin D Dougherty