The mystery of claustral neural circuits and recent updates on its role in neurodegenerative pathology
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01.12.2021 |
Nikolenko V.N.
Rizaeva N.A.
Beeraka N.M.
Oganesyan M.V.
Kudryashova V.A.
Dubovets A.A.
Borminskaya I.D.
Bulygin K.V.
Sinelnikov M.Y.
Aliev G.
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Behavioral and Brain Functions |
10.1186/s12993-021-00181-1 |
0 |
Ссылка
Introduction: The claustrum is a structure involved in formation of several cortical and subcortical neural microcircuits which may be involved in such functions as conscious sensations and rewarding behavior. The claustrum is regarded as a multi-modal information processing network. Pathology of the claustrum is seen in certain neurological disorders. To date, there are not enough comprehensive studies that contain accurate information regarding involvement of the claustrum in development of neurological disorders. Objective: Our review aims to provide an update on claustrum anatomy, ontogenesis, cytoarchitecture, neural networks and their functional relation to the incidence of neurological diseases. Materials and methods: A literature review was conducted using the Google Scholar, PubMed, NCBI MedLine, and eLibrary databases. Results: Despite new methods that have made it possible to study the claustrum at the molecular, genetic and epigenetic levels, its functions and connectivity are still poorly understood. The anatomical location, relatively uniform cytoarchitecture, and vast network of connections suggest a divergent role of the claustrum in integration and processing of input information and formation of coherent perceptions. Several studies have shown changes in the appearance, structure and volume of the claustrum in neurodegenerative diseases, such as Parkinson’s disease (PD), Alzheimer’s disease (AD), autism, schizophrenia, and depressive disorders. Taking into account the structure, ontogenesis, and functions of the claustrum, this literature review offers insight into understanding the crucial role of this structure in brain function and behavior.
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The mystery of claustral neural circuits and recent updates on its role in neurodegenerative pathology
|
01.12.2021 |
Nikolenko V.N.
Rizaeva N.A.
Beeraka N.M.
Oganesyan M.V.
Kudryashova V.A.
Dubovets A.A.
Borminskaya I.D.
Bulygin K.V.
Sinelnikov M.Y.
Aliev G.
|
Behavioral and Brain Functions |
10.1186/s12993-021-00181-1 |
0 |
Ссылка
Introduction: The claustrum is a structure involved in formation of several cortical and subcortical neural microcircuits which may be involved in such functions as conscious sensations and rewarding behavior. The claustrum is regarded as a multi-modal information processing network. Pathology of the claustrum is seen in certain neurological disorders. To date, there are not enough comprehensive studies that contain accurate information regarding involvement of the claustrum in development of neurological disorders. Objective: Our review aims to provide an update on claustrum anatomy, ontogenesis, cytoarchitecture, neural networks and their functional relation to the incidence of neurological diseases. Materials and methods: A literature review was conducted using the Google Scholar, PubMed, NCBI MedLine, and eLibrary databases. Results: Despite new methods that have made it possible to study the claustrum at the molecular, genetic and epigenetic levels, its functions and connectivity are still poorly understood. The anatomical location, relatively uniform cytoarchitecture, and vast network of connections suggest a divergent role of the claustrum in integration and processing of input information and formation of coherent perceptions. Several studies have shown changes in the appearance, structure and volume of the claustrum in neurodegenerative diseases, such as Parkinson’s disease (PD), Alzheimer’s disease (AD), autism, schizophrenia, and depressive disorders. Taking into account the structure, ontogenesis, and functions of the claustrum, this literature review offers insight into understanding the crucial role of this structure in brain function and behavior.
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Neural Network Self-Learning Model for Complex Assessment of Drinking Water Safety for Consumers
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01.06.2018 |
Tunakova Y.
Novikova S.
Krasnyuk I.
Faizullin R.
Gabdrakhmanova G.
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BioNanoScience |
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0 |
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© 2017, Springer Science+Business Media, LLC, part of Springer Nature. We need to take into complex assessment a set of influencing factors of drinking water safety. This raises the task of developing an integrated methodology assessing the safety of drinking water that reaches the consumers. For the integrated assessment of the safety of drinking water, the method of clustering was chosen, namely, the neural network method of Kohonen self-organizing maps. Zones were separated by the method of cluster neural network analysis. The zones are characterized by different content of metal cations in drinking water, levels of carcinogenic and non-carcinogenic risk to the health of the child population, and the probability of the receipt of metal cations with potable water to consumers.
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Application of artificial intelligence methods to recognize pathologies on medical images
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01.01.2018 |
Lebedev G.
Klimenko H.
Kachkovskiy S.
Konushin V.
Ryabkov I.
Gromov A.
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Procedia Computer Science |
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2 |
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© 2018 The Author(s). The rapid development of graphics processing units (GPU) allowed to use in practice resource-intensive methods of artificial intelligence such as neural networkS. At present, the authors got preliminary results on detection of some forms of leukocyteS. The article presents the first results of the work.
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