439 results about "Mri brain" patented technology

Introducing one or more stimulating drugs to the brain and/or applying electrical stimulation to the brain is used to treat epilepsy. At least one implantable system control unit (SCU) produces electrical pulses delivered via electrodes implanted in the brain and/or drug infusion pulses delivered via a catheter implanted in the brain. The stimulation is delivered to targeted brain structures to adjust the activity of those structures. The small size of the SCUs of the invention allow SCU implantation directly and entirely within the skull and/or brain. Simplicity of the preferred systems and methods and compactness of the preferred system are enabled by the modest control parameter set of these SCU, which do not require or include a sensing feature.

Methods of electrically stimulating neural tissue of the brain are disclosed. A first electrode is placed in close proximity with tissue of a patient's brain (e.g., in the brain, or on or near the surface of the brain). A hyperpolariziag electrical pre-pulse is applied to the tissue through the first electrode wherein the tissue is more susceptible to subsequent electric stimulation. A subsequent depolarizing electrical pulse is applied to the tissue through the first electrode wherein an action potential is generated in the tissue.

The invention provides an unsupervised domain-adaptive brain tumor semantic segmentation method based on deep adversarial learning. The method comprises the steps of deep coding-decoding full-convolution network segmentation system model setup, domain discriminator network model setup, segmentation system pre-training and parameter optimization, adversarial training and target domain feature extractor parameter optimization and target domain MRI brain tumor automatic semantic segmentation. According to the method, high-level semantic features and low-level detailed features are utilized to jointly predict pixel tags by the adoption of a deep coding-decoding full-convolution network modeling segmentation system, a domain discriminator network is adopted to guide a segmentation model to learn domain-invariable features and a strong generalization segmentation function through adversarial learning, a data distribution difference between a source domain and a target domain is minimized indirectly, and a learned segmentation system has the same segmentation precision in the target domain as in the source domain. Therefore, the cross-domain generalization performance of the MRI brain tumor full-automatic semantic segmentation method is improved, and unsupervised cross-domain adaptive MRI brain tumor precise segmentation is realized.

A method and apparatus for performing rapid brain assessment may provide emergency triage to head trauma patients by analyzing a combination of spontaneous and evoked brain potentials. The spontaneous and evoked potentials are analyzed, and the results classified, to present a real-time assessment of a patient's brain, diagnosing any potential abnormalities therein.

A system for calibrating and/or verifying system performance of a remote portable EEG system having at least one EEG sensor. Embodiments of the invention can provide various reference signals to calibrate and quality control the remote performance of the data acquisition EEG system. In addition a calibration cable connects a reference signal source to the EEG sensors to enable remote calibration and quality control assessment. Further, a diagnostic biomarker is included to assess the state or function of a subject's brain and enables the classification, prognosis, diagnosis, monitoring of treatment, or response to therapy applied to the brain by measuring any one of a list of candidate features extracted from a given cognitive or sensory task, and measuring changes in the EEG feature and task combination over time, among multiple states, or compared to a normative database.

The present invention relates to a method and system for analysing audio (eg. music) tracks. A predictive model of the neuro-physiological functioning and response to sounds by one or more of the human lower cortical, limbic and subcortical regions in the brain is described. Sounds are analysed so that appropriate sounds can be selected and played to a listener in order to stimulate and/or manipulate neuro-physiological arousal in that listener. The method and system are particularly applicable to applications harnessing a biofeedback resource.

A two-dimensional (2D) chemical shift correlated MR spectroscopic (COSY) sequence integrated into a new volume localization technique (90°-180°-90°) for whole body MR Spectroscopy. Using the product operator formalism, a theoretical calculation of the volume localization as well as the coherence transfer efficiencies in 2D MRS is presented. A combination of different MRI transmit/receive rf coils is used. The cross peak intensities excited by the proposed 2D sequence are asymmetric with respect to the diagonal peaks. Localized COSY spectra of cerebral frontal and occipital gray/white matter regions in fifteen healthy controls are presented.

Embodiments of the disclosed technology provide a combination electroencephalography and non-invasive stimulation devices. Upon measuring an electrical anomaly in a region of a brain, various non-invasive stimulation techniques are utilized to correct neural activity. Stimulation techniques include transcranial direct current stimulation, transcranial alternating current stimulation and transcranial random noise stimulation, low threshold transcranial magnetic stimulation and repetitive transcranial magnet stimulation. Devices of the disclosed technology may utilize visual, balance, auditory, and other stimuli to test the subject, analyze necessary brain stimulations, and administer stimulation to the brain.

The invention provides an MRI (Magnetic Resonance Imaging) brain tumor localization and intratumoral segmentation method based on a deep cascaded convolution network, which comprises the steps of building a deep cascaded convolution network segmentation model; performing model training and parameter optimization; and carrying out fast localization and intratumoral segmentation on a multi-modal MRIbrain tumor. According to the MRI brain tumor localization and intratumoral segmentation method provided by the invention based on the deep cascaded convolution network, a deep cascaded hybrid neuralnetwork formed by a full convolution neural network and a classified convolution neural network is constructed, the segmentation process is divided into a complete tumor region localization phase andan intratumoral sub-region localization phase, and hierarchical MRI brain tumor fast and accurate localization and intratumoral sub-region segmentation are realized. Firstly, the complete tumor region is localized from an MRI image by adopting a full convolution network method, and then the complete tumor is further divided into an edema region, a non-enhanced tumor region, an enhanced tumor region and a necrosis region by adopting an image classification method, and accurate localization for the multi-modal MRI brain tumor and fast and accurate segmentation for the intratumoral sub-regions are realized.

Described are methods, devices, and systems for a novel, inexpensive, easy to use therapy for treatment of coma, post-traumatic stress disorder, Parkinson's disease, cognitive performance, and/or amblyopia. Described are methods and devices to treat coma, post-traumatic stress disorder, Parkinson's disease, cognitive performance, and/or amblyopia that involves no medication. Methods and devices described herein use alternating magnetic fields to gently “tune” the brain and affect symptoms of coma, post-traumatic stress disorder, Parkinson's disease, cognitive performance, and/or amblyopia.

Method and neuroprosthetic device for monitoring and suppression of pathological tremors in a user through the neurostimulation of the afferent pathways to the brain, which comprises wearable elements placed over the parts of the body affected by tremor, wherein said wearable elements (1) have sensors selected from bioelectric sensors (3) generating a bioelectrical signal characterization of tremor, biomechanical sensors (4) generating a biomechanical signal characterization of tremor and a combination thereof, a programmable electronic device (9) comprised of a control, acquisition and processing module of the characterization signals, and a signal generator for the afferent stimulation based on the bioelectrical, biomechanical or combination of both signal characterization and stimulation electrodes (8) which transmit the neuromodulation signals to the afferent pathways projecting into the central nervous system to modulate the activity of the neural structures responsible for tremor generation.

Devices, systems and methods are disclosed for treating or preventing gastroparesis, functional dyspepsia, and other functional gastrointestinal disorders. The methods comprise transmitting impulses of energy non-invasively to selected nerve fibers, particularly those in a vagus nerve. The methods provide damaged interstitial cells of Cajal (ICC) with trophic factors via vagal afferent nerve fibers, thereby reversing ICC damage, and as a consequence improving gastric motility. The methods also increase levels of inhibitory neurotransmitters in the brain so as to decrease neural activity within the area postrema, or they deactivate a resting state neural network containing parts of the anterior insula and anterior cingulate cortex, which will thereby reduce abnormal interoception and visceral hypersensitivity.

A brain therapy system and method using noninvasive brain stimulation, comprising:

• • a stimuli generator unit for generating a stimuli presentation program;
  • a sensor assembly comprising a plurality of active EEG electrodes for measuring the electrophysiological activity of a patient's brain subjected to said stimuli presentation program;
  • a data acquisition unit in communication with the sensor assembly for retrieving patient EEG signals;
  • a data processing unit in communication with the data acquisition unit for:
    • analyzing the patient EEG signals to obtain patient EEG data, and
    • comparing the patient EEG data against a normalized EEG pattern retrieved from a standardized database;
    • selecting a stimulation protocol in dependence of said comparison;
  • a brain stimulation unit for applying the selected stimulation protocol on the active EEG electrodes.

A method of monitoring brain activity is provided, wherein the method includes receiving a signal associated with neuronal activity of a mammalian brain. The method also includes processing the signal using a linear, non-linear, or combination algorithm to extract a signal feature. A neuromarker may be determined based on an association between the signal feature and a library of features, wherein the library includes a plurality of signal features correlated with a plurality of disease states.

We describe a method for opening the blood-brain barrier (BBB) using ultrasound and preformed microbubbles. With this method, diagnostic or therapeutic agents may be administered to the brain. This method can open a focal region of the BBB and administer agents in a targeted fashion or the method can open large regions (or the entirety) of the brain for more global administration of agents. In one embodiment, the method can be used to administer contrast agents (e.g., agents that increase or decrease the magnetic resonance imaging signal) to the brain and thereby improve the quality or information content of imaging data. In another embodiment, a standard clinical diagnostic ultrasound scanner can be used to open specific regions of the BBB and administer diagnostic or therapeutic agents. Importantly, this invention can open the BBB in a non-destructive/non-invasive fashion, allowing the subject to be awake and suffer no detectable side effects.