454 results about "Mental disease" patented technology

A neurological control system for modulating activity of any component or structure comprising the entirety or portion of the nervous system, or any structure interfaced thereto, generally referred to herein as a “nervous system component.” The neurological control system generates neural modulation signals delivered to a nervous system component through one or more intracranial (IC) stimulating electrodes in accordance with treatment parameters. Such treatment parameters may be derived from a neural response to previously delivered neural modulation signals sensed by one or more sensors, each configured to sense a particular characteristic indicative of a neurological or psychiatric condition.

A neurological control system for modulating activity of any component or structure comprising the entirety or portion of the nervous system, or any structure interfaced thereto, generally referred to herein as a “nervous system component.” The neurological control system generates neural modulation signals delivered to a nervous system component through one or more neuromodulators to control neurological state and prevent neurological signs and symptoms. Such treatment parameters may be derived from a neural response to previously delivered neural modulation signals sensed by one or more sensors, each configured to sense a particular characteristic indicative of a neurological or psychiatric condition.

The invention relates to an animal behaviour testing platform for optogenetics regulation and control, used for carrying out a behaviour test on tested animals. The testing platform comprises a central control system, an environmental control system, a behaviour monitoring system, a photoelectric detection, regulation and control system and a case device used for fixing the systems. A standard and integrated behaviour testing platform used for testing animal optogenetics regulation and control is established by combining an optogenetics neural regulation and control technology and electrophysiology and behaviour tests and the like; by virtue of the platform, optogenetics regulation and control as well as behaviour record on the tested animals in certain environment can be realized, thus being easy to understand relation between the animal optogenetics regulation and control and the behaviour and meeting requirements of research on pathogenesis and treatment mechanism of a nervous system and mental diseases.

The invention provides a compound of formula I: wherein R1-R6, X, Y, and B have any of the values described herein, as well as salts of such compounds, compositions comprising such compounds, and therapeutic methods that comprise the administration of such compounds. The compounds are inhibitors of MAO-B enzyme function and are useful for improving cognitive function and for treating psychiatric disorders in animals.

The invention provides an electroencephalogram signal characteristic extracting method. Network average route lengths and clustering coefficients are calculated through wavelet reconstruction, windowing horizontal visibility map complex network conversion and complex network analysis. The average route lengths and clustering coefficients composed of electroencephalogram signals are calculated to achieve characteristic analysis of electroencephalogram signals and chaotic time sequence signals of the electroencephalogram signals of different rhythms. The electroencephalogram signal characteristic extracting method has the advantages that one-dimensional chaotic time sequences are converted into complex networks, according to analysis of network characteristic parameters, fractal characters of the electroencephalogram signals are revealed, the complex non-linearity signals of the electroencephalogram signals are depicted from a brand new angle. The electroencephalogram signal characteristics can be applied to automatic diagnosis of mental disease and a characteristic identifying module of a brain-machine port system. The electroencephalogram signal characteristic extracting method can effectively distinguish the electroencephalogram signals of an epilepsia attach stage and an epilepsia non-attach stage, the equation p<0.1 is met after Mann-Whitney detection, and the electroencephalogram signal characteristic extracting method can be applied to epilepsia electroencephalogram automatic identification.

A user monitoring device system includes a user monitoring device with a microphone and sensors to determine air quality, sound level / quality, light quality and ambient temperature near the user. A movement detection device detects a user's movement information. The movement detection device and the monitoring system assist to determine user sleep information and sleep behavior information. The microphone records user movement sounds detected by the movement detection device. The movement detection device is configured to cause the microphone to stop recording user movement sounds when the movement sounds are not directed to a sleep related parameter. In response to determining user sleep information or sleep behavior information the system is used for treatment of sleep or psychiatric disorders.

The present invention is a method and system for detecting linguistic markers as signs and indicators of mental illness, even prior to onset of symptoms of the mental illness. The linguistic markers may be detected in diachronic analyses of writing or speech samples. In particular, the present invention may identify lexical and syntactic changes in language due to mental illness. To recognize such changes the present invention may utilize complete, fully parsed texts or speech representing a number of measures. The identification of markers may provide a means of detecting mental illness early on based on a person's use of language. The language may be presented as spontaneous speech or writing, and may include samples of speech and / or writing occurring over time.

The invention discloses a magnetic resonance imaging (MRI) based brain disease individual prediction method and a magnetic resonance imaging (MRI) based brain disease individual prediction system. The method comprises the following steps: 1: obtaining the MRI of the brain of a patient with mental diseases; 2: carrying out denoising and dimension reduction treatment on the MRI of the brain of the patient; 3: carrying out feature selection by utilizing a ReliefF algorithm; 4: adaptively obtaining a spatial brain area by using a spatial cluster analysis method; 5: removing redundant features by utilizing a correlation-based feature selection algorithm, thus obtaining an optimal feature subset; 6: carrying out multiple linear regression analysis based on the optimal feature subset to recognize potential biomarkers. The method has the beneficial effects that the embodiment of the invention integrates various machine learning methods and can rapidly and conveniently achieve quantitative and individual accurate prediction of the interest features of mental diseases, such as clinical indexes, based on various image data in different mode types, thus being beneficial to understanding the brain structures, function abnormity and potential pathogenesis of the diseases.

The invention relates to an implanted photoelectrode collecting, regulating and controlling device, which comprises a central processing unit, a displacement regulating unit and a photoelectrode collecting, regulating and controlling unit. The central processing unit is used for controlling the displacement regulating unit and the photoelectrode collecting, regulating and controlling unit; the displacement regulating unit is used for regulating the implantation depth of the photoelectrode collecting, regulating and controlling unit; and the photoelectrode collecting, regulating and controlling unit is used for carrying out light regulation and control and the collection of a physiological signal on an implantation position and feeding back the collected physiological signal to the central processing unit. According to the implanted photoelectrode collecting, regulating and controlling device, an electrode unit and a fiber unit are combined together to form a photoelectrode array; furthermore, the electrode unit and the fiber unit are respectively controlled by utilizing the displacement regulating unit; the implantation depths and positions of the electrode unit and the fiber unit are regulated according to the body environment of an organism; the flexibility is high; the more accurate, more effective, high-spatial-resolution and long-term light regulation and control and the electrophysiological record of the implantation position can be achieved; and the requirements on the research and the treatment of a nervous system and a mental disease are met.

The present invention relates to compounds and methods for inducing neuronal differentiation in normal neural stem cells and brain cancer stem cells. The methods may take place in vitro, such as in isolates from the adult mammalian brain, or in vivo. Compounds and methods described herein may find use in the treatment of neurodegenerative and psychiatric diseases, the repair and regeneration of the nervous system, and in treatment of neurologic malignancy.

The present invention relates to novel triazolo[4,3-a]pyridine derivatives of Formula (I) wherein all radicals are as defined in the claims. The compounds according to the invention are positive allosteric modulators of the metabotropic glutamate receptor subtype 2 (“mGluR2”), which are useful for the treatment or prevention of neurological and psychiatric disorders associated with glutamate dysfunction and diseases in which the mGluR2 subtype of metabotropic receptors is involved. The invention is also directed to pharmaceutical compositions comprising such compounds, to processes to prepare such compounds and compositions, and to the use of such compounds for the prevention or treatment of neurological and psychiatric disorders and diseases in which mGluR2 is involved.

The invention relates to the technical field of brain function network research and more particularly relates to a brain function network construction method based on a micro-state. Starting from theconstruction of an EEG brain function network, according to the theory of EEG micro-state related aspects, namely that the EEG micro-state is the most basic state which reflects the brain activity, proposing that the EEG micro-state can also be applied to construction of the brain function network. The method provided by the invention solves the problem that the time consumed for construction of the traditional brain function network is too long and reduces a large quantity of redundant information in an original EEG time sequence by using the time sequence after micro-state reconstruction. Byapplying the method to an EEG data set of mental disease working memory collected in a hospital, the EEG brain function network for schizophrenia patients and normal persons is constructed; and compared with the brain function network constructed by using an original EEG signal, the brain function network constructed by the time sequence after micro-state reconstruction has the advantage that thecharacteristics of the human brain network can be more accurately reflected.

The present invention relates to certain compounds (e.g., imidazopyrazine, imidazopyridine, imidazopyridazine and imidazpyrimidine compounds) that act as inhibitors of the MAP kinase interacting kinases MNK2a, MNK2b, MNK1a, and MNK1b. The present invention further relates to pharmaceutical compositions comprising these compounds, and to the use of the compounds for the preparation of a medicament for the prophylaxis and treatment of diseases (e.g., proliferative diseases (e.g., cancer), neurodegenerative diseases (e.g., Alzheimer's disease), metabolic diseases (e.g. diabetes), neurodevelopmental disorders (e.g. autism), or psychiatric disorders (e.g. schizophrenia or anxiety)) as well as methods of treating these diseases.

The compositions and methods described are directed to microRNA chips having a plurality of different oligonucleotides with specificity for genes associated with autism spectrum disorders. The invention further provides methods of identifying microRNA profiles for neurological and psychiatric conditions including autism spectrum disorders, methods of treating such conditions, and methods of identifying therapeutics for the treatment of such neurological and psychiatric conditions.

The invention relates to a novel piperazinoamide compound, a preparation method thereof, and application thereof in treating neurodegenerative disease, mental disease, epilepsy, convulsion, apoplexy, and the like. The structure of the piperazinoamide compound is shown as formula I. The in vitro tests verify that the piperazinoamide compound has an effect of inhibiting cells BV2 from secreting IL-1beta effectively, and has high safety. The formula I is shown in the description.

The invention discloses a Chinese patent medicine capsule for calming heart and tranquilizing mind for insomnia and dreamful sleep, amnesia and dizziness, annoyances and chest distress, much thought and worry, palpitation and easy fright. The capsule is prepared from the medicinal effect raw materials in portion by weight: 30 portions of tuckahoe with pine, 10 portions of lucid ganoderma, 30 portions of caulis polygoni multiflori, 10 portions of radix polygala, 30 portions of sauted jujube kernel, 6 portions of schisandra, 50 portions of raw keel, 3 portions of amber, 15 portions of lily, 30 portions of radix salviae miltiorrhizae, 15 portions of radix curcumae, 10 portions of rhizoma anemarrhenae, and 10 portions of fruit of immature citron. The capsule is a pure Chinese medicinal preparation, has no toxic and side effect or adverse reaction, has short treatment period, and can radically solve the trouble caused by neurasthenia, depression, climacteric syndrome, senile dementia and mental diseases.

Multiscale brain electrodes can be used for spatiotemporal mapping, probing, and therapeutic modulation of the human brain. The applications for such functional mapping and electrical stimulation modulation span, for example, neurological and psychiatric diseases, and brain rehabilitation.

The invention discloses a dynamic brain function connection mode dividing method based on PAC and K-means clustering. The method divides the dynamic function into basic connection modes. The method includes the following steps: conducting pre-processing on resting state magnetic resonance data, extracting the time sequences of brain zones, then adopting the sliding window method in calculating related coefficients between each two of the brain zones, constructing corresponding function connection matrixes, and finally conducting PCA and K-means clustering on the function connection matrixes so as to obtain basic connection modes. According to the invention, the dynamic function connection mode dividing algorithm can effectively and accurately obtain the divided basic function connection modes, not only can capture transition among different basic connection modes, and can provide strategies for further research and prevention and treatment of clinic neurological diseases, such as Schizophrenia, Alzheimer's disease, depression, and etc.

The invention belongs to emotional state recognition technology, and provides an electroencephalogram emotional state feature extraction method based on adaptive tracking in different frequency bands, which is a more objective emotional state recognition method and is a more objective evaluation method for therapy evaluation to mental diseases. The technical scheme includes that the electroencephalogram emotional state feature extraction method based on adaptive tracking in different frequency bands comprises following steps: data acquisition and preprocessing, time frequency feature extraction, adaptive frequency band selection and emotional state recognition; the specific data acquisition and preprocessing step comprises emotionally inducing a testee by the aid of emotional images and preprocessing acquired original electroencephalogram signals, and preprocessing comprises changing reference potential, reducing sampling, realizing bandpass filtering and removing electrooculogram; time-frequency change is realized for processed electroencephalogram signals by the aid of short time Fourier transform; and adaptive frequency band selection is realized by a frequency band variable adaptive tracking method, and an SVM (support vector machine) is used for realizing classification recognition for feature frequency bands. The electroencephalogram emotional state feature extraction method is mainly applied to recognizing emotional states.

The invention provides methods for the treatment of major depressive disorder in male subjects and methods for the treatment of psychiatric disorders at high altitudes by administering one or more creatine-containing compounds.

The invention provides a neural fingerprint extraction and classification method. The method comprises an image acquisition step, a brain structure annotation step and a neural fingerprint extractionstep in sequence. The method has the advantages that information mining is performed on magnetic resonance images in different sequences, a unified fingerprint extraction and establishment method forall brain areas is formed through unified structure annotation establishment and positioning, a comprehensive neural fingerprint system is constructed, neural fingerprint standard libraries for different sexes and different ages are established, and therefore brain health assessment, disease classification and parting and disease prediction can be performed on a to-be-tested target; through the establishment of the neural fingerprint standard libraries, quantitative assessment and classification can be performed on brain development, brain senescence, neural diseases and mental diseases of a to-be-tested object, and talent assessment, advantage assessment, senescence assessment, rehabilitation assessment, assistant diagnosis, disease prediction and other technologies can be formed; and a standard technical foundation is laid for advantage cultivation, brain healthcare and diagnosis and prevention of brain diseases of human talents.

The embodiments of the invention disclose a brain stimulation system and method based on artificial intelligence, equipment and a storage medium. The system comprises a plurality of brain stimulationterminals and a cloud platform; the cloud platform is used for adopting an artificial intelligence technology to generate multidirectional psychological big data by learning physiological data and psychological state evaluation parameters from the multiple brain stimulation terminals and combining a preset diagnosis treatment model for various diseases; and the brain stimulation terminals are usedfor adopting the artificial intelligence technology to analyze the collected physiological data and psychological state evaluation parameters of a target object based on the multidirectional psychological big data, the mental state of the target object is determined, brain stimulation parameters required for the target object are obtained according to the mental state, and corresponding noninvasive bran stimulation is generated to the target object according to the brain stimulation parameters. The brain stimulation system and method based on the artificial intelligence, the equipment and thestorage medium are suitable for maintaining mental health of ordinary people and regulating unhealthy emotions of ordinary people and at least have the effects of early prediction, professional prevention and timely interference on certain serious mental diseases.

The invention discloses a nitrogenous benzheterocycle derivate and application thereof to treating nervous and mental diseases. Pharmacology experiments show that the derivate has better anti-schizophrenia action and lower toxicity. The derivate is free alkali or salt having the following structure general formula.

The invention provide a ultra-performance liquid chromatogram-mass spectrum detection method for 23 types of drugs and mental disease resistant drugs in blood. The method comprises the following steps: 1) sample processing: employing an organic solvent for processing a sample through protein sediment; 2) primary screening detection: employing a ultra-performance liquid chromatogram-tandem mass spectrum (UPLC-MS / MS) multi-reaction monitoring (MRM) mode for primary screening detection; and 3) employing the ultra-performance liquid chromatogram-tandem mass spectrum (UPLC-MS / MS) multi-reaction monitoring (MRM) mode for reinspection of the positive sample through the primary screening in the step 2). According to physical and chemical properties of 9 types of drugs and 14 types of mental disease resistant drugs, during reinspection, the UPLC-MS / MS detection condition which is different with the primary screening detection is employed, different sample pretreatment methods are employed, so that the detection method can satisfy the rapid, sensitive and accurate requirements of primary screening detection, and misjudgement of false positive results can be reduced.

The disclosure provides nanostructures (e.g., nanospheres and nano-paddlewheels) formed through transition metal-ligand (e.g., Pd(II)-, Ni(II)-, or Fe(II)-ligand of Formula (A)) coordination and junction self-assembly. The disclosure also provides supramolecular complexes that include the nanostructures connected by divalent linkers Y. The provided supramolecular complexes are able to form gels (e.g., hydrogels). The gels are suprametallogels and exhibited excellent mechanical properties without sacrificing self-healing and showed high robustness and storage modulus. The present disclosure further provides compositions (e.g., gels) that include the nanostructures or supramolecular complexes and optionally an agent (e.g., small molecule), where the nanostructures and the nanostructure moieties of the supramolecular complexes may encapsulate and slowly release the agent. The nanostructures, supramolecular complex, and compositions may be useful in delivering an agent to a subject, tissue, or cell, as super-absorbent materials, and in treating a disease (e.g., a genetic diseases, proliferative disease (e.g., cancer or benign neoplasm), hematological disease, neurological disease, gastrointestinal disease (e.g., liver disease), spleen disease, respiratory disease (e.g., lung disease), painful condition, genitourinary disease, musculoskeletal condition, infectious disease, inflammatory disease, autoimmune disease, psychiatric disorder, or metabolic disorder).

The compositions and methods described are directed to gene chips having a plurality of different oligonucleotides with specificity for genes associated with autism spectrum disorders. The invention further provides methods of identifying gene profiles for neurological and psychiatric conditions including autism spectrum disorders, methods of treating such conditions, and methods of identifying therapeutics for the treatment of such neurological and psychiatric conditions.

The invention discloses lactobacillus plantarum DP189 and application thereof, and relates to the field of functional food microorganisms. The strain is preserved in China Center for Type Culture Collection on March 25 , 2019 with the preservation number of CCTCC NO:M2019199. By means of the strain, the learning and memory capability of a depressed rat can be improved; the level of brain-derived neurotrophic factors of the depressed rat can be improved; the injury to hippocampal neurons and apoptosis of neuron cells of the depressed rat are reduced; the content of apoptosis proteins JUK2 and Bcl-2 of brain tissue of the depressed rat is lowered; the abundance of verrucomicrobiaceae of the intestinal tract is lowered; the abundance of bacterium lacticum of the intestinal tract is improved, the alpha-diversity of the intestinal floras is improved, and the intestinal flora disturbance of the depressed rat is alleviated. In this way, the lactobacillus plantarum DP189 has good effects of preventing and treating depression / anxiety, infantile autism and inflammatory enteritis. The strain has the anti-depression function, and can serve as a functional probiotic bacterium for preventingand treating the depression, infantile autism and inflammatory enteritis, and a new idea is provided for clinical intervention with and control over depression and other relevant mental diseases.

The invention discloses mental stress assessment and high-risk population intervention system oriented to undergraduates. The mental stress assessment and high-risk population intervention system comprises a multi-mode brain function detecting device, a mobile terminal, a network server and a monitoring client-side, wherein the multi-mode brain function detecting device is connected with the mobile terminal through a Bluetooth signal, the mobile terminal is connected with the network server through a mobile internet, and the monitoring client-side is connected with the network server through the internet. The mental stress assessment and high-risk population intervention system is based on a mobile internet technology, adopts the multi-mode brain function detecting device to acquire brain blood oxygen signals and electroencephalogram signals of the undergraduates, utilizes the mobile terminal to receive the brain blood oxygen signals and electroencephalogram signals and input family mental disease histories and earlier-stage diagnosis information of the undergraduates, then uploads the data to the network server for data processing and analysis, generates corresponding diagnosis results, feeds the results back to the mobile terminal and the monitoring client-side, achieves early finding and early treatment of the mental diseases of the undergraduates and is beneficial to early warning and intervention of the mental diseases of the undergraduates.