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1087 results about "Brain function" patented technology

Brain Function. The brain and spinal cord control and coordinate most functions of the mind and body. The brain is connected to the spinal cord, controls the nervous system, and regulates feelings, thoughts, consciousness, and volition, as well as controlling physical activities.

Computer-simulated virtual reality environments for evaluation of neurobehavioral performance

InactiveUS20050216243A1Increase and decrease difficultyStrong specificityMedical simulationTelemedicineTest performanceNervous system
A virtual reality (VR)-based test battery wherein various neurobehavioral performance skills, including motor skills, sensory-perceptual skills, attention, and decision-making can be measured in human subjects. The invention can be used as a screening method within a virtual environment to provide an overall measure of general brain function relating to behavioral ability. In addition, the invention provides comprehensive VR-based neurobehavioral examinations tailored to individual subjects which can automatically self-adjust during operation in accordance with the specific purpose of the assessment, or for forms of cognitive or physical rehabilitation. According to the invention, patients with neurological and psychiatric dysfunctions can be assessed with physiologic monitoring as well as with anatomical and functional neuroimaging to non-invasively map the functional neuroanatomic correlates of VR-based test performance. In a preferred embodiment, the VR-based neurobehavioral testing system is portable allowing computerized tests to be administered in a desk-top or lap-top configuration, or via the Internet for tele-assessment of human subjects who are physically inaccessible to the test administrator. In a particularly preferred embodiment, the method of the invention is used for vocational assessment and training, wherein individual test scores are combined into a final metric useful for assessing a candidate's qualifications for employment, or certification in a particular skill.
Owner:GRAHAM SIMON +3

Determination of treatment results prior to treatment or after few treatment events

InactiveUS20080167571A1Predict and evaluate long lasting change in overall neurocognitive functionIncrease doseElectroencephalographyElectrotherapyTreatment resultsNeurocognitive Dysfunction
Disclosed are methods and data on determining response to a drug or other therapy prior to administration by obtaining a direct neurocognitive brain function measurement; obtaining an indirect neurocognitive brain function measurement; and, assessing the direct neurocognitive brain function measurement and the indirect neurocognitive brain function measurement collectively to obtain a response determination preferably the predictive value of the collective assessment is greater than a predictive value obtained from the separate predictive values for the direct and indirect measurements. Also disclosed are methods of determining dosage of a drug comprising administering a drug; comprising obtaining a direct neurocognitive brain function measurement; obtaining an indirect neurocognitive brain function measurement; and, assessing the direct neurocognitive brain function measurement and the indirect neurocognitive brain function measurement collectively to obtain a dosage, preferably the predictive value of the collective assessment is greater than a predictive value obtained from the separate predictive values for the direct and indirect measurements; optionally, additional cycles of obtaining and assessing indirect and direct measurements are performed.
Owner:GEVINS ALAN

Neurocognitive function EEG measurement method and system

InactiveUS6947790B2Sufficient sensitivityHigh sensitivityElectroencephalographyHealth-index calculationDiseaseDrug approval
An efficient, objective testing method and system for evaluating changes in mental function is described. The method and system are based on measuring an individual's behavioral responses and brain function during a brief cognitive test battery and passive control conditions. The method and system is designed to assess an individual's fundamental cognitive functions, and whether those functions have been significantly affected by a variety of factors such as progressive disease processes, medication, stress, fatigue, training, or the passage of time. The method and system can be used to determine whether drugs being evaluated to treat diseases or conditions affecting cognitive brain function have a significant positive effect on delaying or improving the symptoms of such a disease or condition, especially during clinical trials for drug approval and subsequent marketing. The method and system may also be employed as part of the successful diagnosis or ongoing treatment of neurological diseases or conditions that directly or indirectly affect human neurocognitive performance. The method and system may also be used to determine transitory changes in overall cognitive function due to emotional stress or fatigue, and more long lasting changes in overall cognitive function following training and educational programs.
Owner:SAM TECHOLOGY

Electroencephalogram feature extracting method based on brain function network adjacent matrix decomposition

InactiveCN102722727AIgnore the relationshipIgnore coordinationCharacter and pattern recognitionMatrix decompositionSingular value decomposition
The invention relates to an electroencephalogram feature extracting method based on brain function network adjacent matrix decomposition. The current motion image electroencephalogram signal feature extraction algorithm mostly focuses on partially activating the qualitative and quantitative analysis of brain areas, and ignores the interrelation of the bran areas and the overall coordination. In light of a brain function network, and on the basis of complex brain network theory based on atlas analysis, the method comprises the steps of: firstly, establishing the brain function network through a multi-channel motion image electroencephalogram signal, secondly, carrying out singular value decomposition on the network adjacent matrix, thirdly, identifying a group of feature parameters based on the singular value obtained by the decomposition for showing the feature vector of the electroencephalogram signal, and fourthly, inputting the feature vector into a classifier of a supporting vector machine to complete the classification and identification of various motion image tasks. The method has a wide application prospect in the identification of a motion image task in the field of brain-machine interfaces.
Owner:启东晟涵医疗科技有限公司
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