Форма представления | Статьи в зарубежных журналах и сборниках |
Год публикации | 2024 |
Язык | русский |
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Аганов Альберт Вартанович, автор
Гимадутдинов Рустем Маратович, автор
Егорчев Антон Александрович, автор
Кашипов Айдар Рафаэлевич, автор
Липачев Никита Сергеевич, автор
Мельникова Анастасия Александровна, автор
Мусин Фоат Минегереевич, автор
Чикрин Дмитрий Евгеньевич, автор
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Mikhail Paveliev , автор
Molotkov Dmitry , автор
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Библиографическое описание на языке оригинала |
Paveliev, M.; Egorchev, A.A.; Musin, F.; Lipachev, N.; Melnikova, A.; Gimadutdinov, R.M.; Kashipov, A.R.; Molotkov, D.; Chickrin, D.E.; Aganov, A.V. Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence. Int. J. Mol. Sci. 2024, 25, 4227. https://doi.org/10.3390/ijms25084227 |
Аннотация |
International journal of Molecular Sciences |
Ключевые слова |
perineuronal net, schizophrenia, epilepsy, antidepressant; brain plasticity, machine learning, artificial intelligence, extracellular matrix; synapse |
Название журнала |
International journal of Molecular Sciences
|
URL |
https://www.mdpi.com/1422-0067/25/8/4227 |
Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=299126 |
Полная запись метаданных |
Поле DC |
Значение |
Язык |
dc.contributor.author |
Аганов Альберт Вартанович |
ru_RU |
dc.contributor.author |
Гимадутдинов Рустем Маратович |
ru_RU |
dc.contributor.author |
Егорчев Антон Александрович |
ru_RU |
dc.contributor.author |
Кашипов Айдар Рафаэлевич |
ru_RU |
dc.contributor.author |
Липачев Никита Сергеевич |
ru_RU |
dc.contributor.author |
Мельникова Анастасия Александровна |
ru_RU |
dc.contributor.author |
Мусин Фоат Минегереевич |
ru_RU |
dc.contributor.author |
Чикрин Дмитрий Евгеньевич |
ru_RU |
dc.contributor.author |
Mikhail Paveliev |
ru_RU |
dc.contributor.author |
Molotkov Dmitry |
ru_RU |
dc.date.accessioned |
2024-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2024-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2024 |
ru_RU |
dc.identifier.citation |
Paveliev, M.; Egorchev, A.A.; Musin, F.; Lipachev, N.; Melnikova, A.; Gimadutdinov, R.M.; Kashipov, A.R.; Molotkov, D.; Chickrin, D.E.; Aganov, A.V. Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence. Int. J. Mol. Sci. 2024, 25, 4227. https://doi.org/10.3390/ijms25084227 |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/?p_id=299126 |
ru_RU |
dc.description.abstract |
International journal of Molecular Sciences |
ru_RU |
dc.description.abstract |
Perineuronal nets (PNN) are a special highly structured type of extracellular matrix encapsulating synapses on large populations of CNS neurons. PNN undergo structural changes in schizophrenia, epilepsy, Alzheimer's disease, stroke, post-traumatic conditions, and some other brain disorders. The functional role of the PNN microstructure in brain pathologies has remained largely unstudied until recently. Here, we review recent research implicating PNN microstructural changes in schizophrenia and other disorders. We further concentrate on high-resolution studies of the PNN mesh units surrounding synaptic boutons to elucidate fine structural details behind the mutual functional regulation between the ECM and the synaptic terminal. We also review some updates regarding PNN as a potential pharmacological target. Artificial intelligence (AI)-based methods are now arriving as a new tool that may have the potential to grasp the brain's complexity through a wide range of organization levels—from synaptic molecular events to large scale tissue rearrangements and the whole-brain connectome function. This scope matches exactly the complex role of PNN in brain physiology and pathology processes, and the first AI-assisted PNN microscopy studies have been reported. To that end, we report here on a machine learning-assisted tool for PNN mesh contour tracing. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
perineuronal net |
ru_RU |
dc.subject |
schizophrenia |
ru_RU |
dc.subject |
epilepsy |
ru_RU |
dc.subject |
antidepressant; brain plasticity |
ru_RU |
dc.subject |
machine learning |
ru_RU |
dc.subject |
artificial intelligence |
ru_RU |
dc.subject |
extracellular matrix; synapse |
ru_RU |
dc.title |
Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence |
ru_RU |
dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
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