KFU. Card publication. Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence

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PERINEURONAL NET MICROSCOPY: FROM BRAIN PATHOLOGY TO ARTIFICIAL INTELLIGENCE

Form of presentation

Articles in international journals and collections

Year of publication

2024

Язык

русский

Authors, employees of KFU

Aganov Albert Vartanovich, author

Gimadutdinov Rustem Maratovich, author

Egorchev Anton Aleksandrovich, author

Kashipov Aydar Rafaelevich, author

Lipachev Nikita Sergeevich, author

Melnikova Anastasiya Aleksandrovna, author

Musin Foat Minegereevich, author

Chikrin Dmitriy Evgenevich, author

Other authors

Mikhail Paveliev , author

Molotkov Dmitry , author

Bibliographic description in the original language

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

Annotation

International journal of Molecular Sciences

Keywords

perineuronal net, schizophrenia, epilepsy, antidepressant; brain plasticity, machine learning, artificial intelligence, extracellular matrix; synapse

The name of the journal

International journal of Molecular Sciences

URL

https://www.mdpi.com/1422-0067/25/8/4227

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=299126&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Aganov Albert Vartanovich	ru_RU
dc.contributor.author	Gimadutdinov Rustem Maratovich	ru_RU
dc.contributor.author	Egorchev Anton Aleksandrovich	ru_RU
dc.contributor.author	Kashipov Aydar Rafaelevich	ru_RU
dc.contributor.author	Lipachev Nikita Sergeevich	ru_RU
dc.contributor.author	Melnikova Anastasiya Aleksandrovna	ru_RU
dc.contributor.author	Musin Foat Minegereevich	ru_RU
dc.contributor.author	Chikrin Dmitriy Evgenevich	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/eng/?p_id=299126&p_lang=2	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	Articles in international journals and collections	ru_RU