YISSUM RESEARCH DEVELOPMENT COMPANY OF THE HEBREW UNIVERSITY OF JERUSALEM LTD. (Israël)
Inventeur(s)
Geva, Amir B.
Bergman, Hagai
Peremen, Ziv
Haor, Dror
Sand, Daniel
Stern, Yaki
Sadeh, Boaz
Abrégé
A method of analyzing performance of a brain stimulation tool is disclosed. The method comprises: obtaining encephalography data collected from a brain of a subject electrically stimulated by at least one of the electrode contacts of the brain stimulation tool; segmenting the data into a plurality of epochs, each corresponding to a single stimulation event generated by the brain stimulation tool; and applying a spatiotemporal analysis to the epochs so as to determine at least one of (i) location of the at least one electrode contact in the brain, and (ii) therapeutic effect of the at least one electrode contact.
A61B 5/048 - Détection de la répartition de fréquence dans les signaux
A61B 5/0484 - Electro-encéphalographie utilisant des réponses provoquées
A61M 21/02 - Autres dispositifs ou méthodes pour amener un changement dans l'état de conscience; Dispositifs pour provoquer ou arrêter le sommeil par des moyens mécaniques, optiques ou acoustiques, p.ex. pour mettre en état d'hypnose pour provoquer le sommeil ou la relaxation, p.ex. par stimulation directe des nerfs, par hypnose ou par analgésie
A61N 1/18 - Application de courants électriques par électrodes de contact
2.
APPARATUS AND METHODS FOR PREDICTING THERAPY OUTCOME
Apparatus and methods are described for use with electrophysiological signal detecting electrodes (14), and a transcranial magnetic stimulation device (10). A computer processor (16) drives the transcranial stimulation device to apply one or more pulses of transcranial magnetic stimulation to a subject. Within a given time period of applying one of the one or more pulses of transcranial magnetic stimulation to the subject, the computer processor detects an electrophysiological signal of the subject, using the electrophysiological signal detecting electrodes (14). At least partially in response thereto, the computer processor predicts an outcome of treating the subject for a neuropsychiatric condition, using a given therapy, and generates an output on an output device (18) in response to the predicted outcome. Other applications are also described.
B.G. NEGEV TECHNOLOGIES & APPLICATIONS LTD., AT BEN-GURION UNIVERSITY (Israël)
Inventeur(s)
Geva, Amir B.
Shavit, Reuven
Haor, Dror
Stern, Yaki
Peremen, Ziv
Abrégé
A method of estimating potential distribution over a cortical surface of a brain of a subject is disclosed. The method comprises: obtaining encephalogram (EG) data recorded from a scalp surface of the head, and head model data describing a geometry of the head and electrical property distribution of tissues within the head. The method further comprises calculating differentials of the EG data over the scalp surface, calculating volumetric distribution of electrical potential between the cortex and scalp surfaces using the EG data and the differentials, and estimating the potential distribution over the cortical surface based on the volumetric distribution.
A method of configuring a local brain stimulation tool is disclosed. The method comprises: obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of the subject, each of the BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency. The method further comprises comparing the BNA patterns; and configuring the local brain stimulation tool to apply local brain stimulation at a frequency selected based on the comparison.
A method of managing pain using neurophysiological data acquired from the brain of a subject is disclosed. The method comprises: identifying activity-related features in the data; parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain; comparing at least some of the defined capsules to at least one reference capsule; and assessing the likelihood that the subject is experiencing pain responsively to the comparison.
A61B 5/04 - Mesure de signaux bioélectriques du corps ou de parties de celui-ci
A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
6.
NEUROPHYSIOLOGICAL DATA ANALYSIS USING SPATIOTEMPORAL PARCELLATION
A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.
A61B 5/0484 - Electro-encéphalographie utilisant des réponses provoquées
A61B 5/048 - Détection de la répartition de fréquence dans les signaux
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p.ex. formation d'images par résonance magnétique
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
A method of estimating the likelihood of brain concussion from neurophysiological data acquired from the brain of the subject is disclosed. The method comprises: identifying activity-related features in the data; constructing a subject- specific brain network activity (BNA) pattern having a plurality of nodes, wherein each node represents a feature of the activity-related features, and each pair of nodes is assigned with a connectivity weight; calculating a BNA pattern similarity describing a comparison between the constructed BNA pattern and a baseline BNA pattern being specific to the subject; and assessing the likelihood of brain concussion responsively to the BNA pattern similarity.
A method of analyzing neurophysiological data is disclosed. The method comprises: identifying activity-related features in the data, constructing a brain network activity (BNA) pattern having a plurality of nodes, each representing a feature of the activity-related features, and assigning a connectivity weight to each pair of nodes in the BNA pattern.
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determine one or more patterns.
ABSTRACT Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided. These obtained signals are then used to further update the existing knowledge base.
G06F 15/18 - dans lesquels un programme est modifié en fonction de l'expérience acquise par le calculateur lui-même au cours d'un cycle complet; Machines capables de s'instruire (systèmes de commande adaptatifs G05B 13/00;intelligence artificielle G06N)
11.
CLINICAL APPLICATIONS OF NEUROPSYCHOLOGICAL PATTERN ANALYSIS AND MODELING
A method for applying a predictive neural model in a clinical setting. The predictive neural model is preferably able to predict the effect of a particular pathology and/or treatment on the brain in advance. Optionally (and alternatively or additionally) a simulation of the effect of a particular pathology and/or treatment on the brain is preferably performed by using the neural model. The neural model preferably includes neurophysiological and neuropsychological data. As used herein, the term 'treatment' preferably includes one or more of pharmacological, surgical or rehabilitative interventions.
Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided. These obtained signals are then used to further update the existing knowledge base.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
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