Cornell Research Foundation Inc.

Cornell University

The Cleveland Clinic Foundation

Intelect Medical, Inc.

Nicholas D Schiff

Keith Purpura

Steven F Kalik

Jonathan Victor

Chananel Braiman

Chagit Reichenbach

Michael Repucci

Ali R Rezai

Scott Kokones

Andre G Machado

Jonathan Baker

Jae-Wook Ryou

Sierra Farris

The clinical diagnosis and monitoring of patients with neurological conditions may be established through behavioral examinations, assessments or evaluations, or neuroimaging scans. The system and methods described herein diagnose the cognitive function of a subject by measuring the neural response of the subject to one or more naturalistic sensory stimuli. The system measures the subject's sensory evoked response to the naturalistic sensory stimuli by computing the statistical comparison between the subject's neural signal and either the raw stimulus signal or the stimulus' signal envelope. A latency value, or other signal feature, is extracted from the subject's sensory evoked response and a diagnosis of the subject's cognitive function is then made based on the identified latency value or other extracted signal feature.

Sensory evoked diagnostic for the assessment of cognitive brain function

The system and methods described herein determine a subject's indication of attention to a first and a second sensory stimuli. The system determines a sensory evoked response of the subject by calculating the statistical relationship between the subject's neural response to the stimuli and a signal feature of the first and the second sensory stimuli. A magnitude value of the sensory evoked response is extracted to determine whether the subject attended-to or ignored the sensory stimuli. The system will select the stimuli that elicited the greater indication of attention, and then trigger further processing by a computer. Such processing can include selecting future content for improving safety warnings, educational materials, or advertisements or further processing can include controlling and navigating a brain computer user interface.

Sensory evoked response based attention evaluation systems and methods

The present invention relates to a method to control a thalamic projecting fiber in a subject. This method involves providing a subject having a first stimulator and a second stimulator implanted in the subject's central thalamus. A stimulus signal generator is provided which is coupled to the first and second stimulators. Separate stimulus signals are provided from the stimulus signal generator to the first and second stimulators under conditions effective to control the thalamic projecting fiber in the subject. Also disclosed is an apparatus for deep brain stimulation.

System and methods for multi-site activation of the thalamus

A system for treating medical conditions by neuromodulation of one or more target sites in the nervous system. In certain embodiments, at least one of the target sites is the medial thalamic region, including the intralaminar nucleus and the adjacent white and grey matter. In certain embodiments, where there is more than one target site, the other target sites is elsewhere in the nervous system, including the globus pallidus interna, subthalamic nucleus, corpus callosum, cerebellum, cerebral cortex (including the premotor cortex, motor cortex, and sensory cortex), ventral striatum, lateral thalamus, substantia nigra, and pedunculopontine nuclei. The medical conditions include movement disorders or improvement of movement function, stroke, neuropsychiatric or neuropsychologic disorders, neurodevelopmental disorders, and pain. Methods for treating medical conditions by neuromodulation of the intralaminar nuclei either alone or in combination with another target site(s) is also provided.

Systems and methods for treating medical conditions by stimulation of medial thalamic region

A method of maintaining an information rate of a Brain-computer interface (BCI) system, implanted in a patient's brain, by regulating arousal level in the patient's brain is disclosed. The method includes selecting a patient with the implanted BCI device configured to receive neuronal activity from one or more electrodes connected to the patient's brain and to establish a communication channel between the patient and an external device controlled by the patient. Accordingly, a rate of information passage through the communication channel from the BCI device is measured, and a region of the patient's brain involved in arousal regulation, is stimulated in response to said measuring, under conditions effective to adjust the rate of information passing from the BCI device through the communication channel. A computer medium for carrying out this method and a BCI Arousal Regulation system are also disclosed.

Patient controlled brain repair system and method of use

Disclosed is a method for improving cognitive function or for improving coordination of function across a patient's cortical regions. The method includes applying electrical stimulation to at least a portion of the patient's subcortical structures involved in the generation and control of generalized efference copy signals. Internally generated movement of the patient is then detected and, in response to such internally generated movement, application of electrical stimulation is controlled. The method of the present invention has a number of benefits, including increasing flexibility in identifying targets for stimulation, improving the probability of successfully treating brain injury, and permitting patient biofeedback and self-regulation.

Feedback method for deep brain stimulation with detection of generalized efference copy signals

A canonical decomposition (CD) method that includes building a multi-variate linear autoregressive ('MLAR') model from an original data set or from a reduced set derived by data reduction methods from the original data set. The MLAR analysis is followed by seeking a coordinate transformation of the MLAR model to obtain the best possible match with one or more canonical forms representing relationships among components. For multi-variate data with a truly hierarchical structure, CD accurately extracts the underlying sources of the system.

Method and system for analyzing multi-variate data using canonical decomposition

Feedback mechanism for deep brain stimulation

The present subject matter is directed to a method for treating a conscious. The method includes selecting a conscious patient having impaired cognitive function and applying electrical stimulation to at least a portion of the patient's intralaminar nuclei under conditions effective to relieve the patient's impaired cognitive function. A method for improving coordination of function across a patient's cortical regions is also described. The method includes applying electrical stimulation to two or more subdivisions of the patient's intralaminar nuclei. The two or more subdivisions of the patient's intralaminar nuclei modulate separate cortical regions. Using the methods of the present invention, patients suffering from impaired cognitive function can have at least a portion of the function restored, thus improving their quality of life and reducing societal costs.

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New York, NY, United States of America

Nicholas D Schiff