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Abstrakty
Objectives: Disorders of consciousness are very big medical and social problem. Their variability, problems in precise definition and proper diagnosis make difficult assessing their causes and effectiveness of the therapy. In the paper we present our point of view to a problem of consciousness and its most common disorders. Methods: For this moment scientists do not know exactly, if these disorders can be a result of simple but general mechanism, or a complex set of mechanisms, both on neural, molecular or system level. Presented in the paper simulations using neural network models, including biologically relevant consciousness’ modelling, help assess influence of specified causes. Results: Nonmotoric brain activity can play important role within diagnostic process as a supplementary method for motor capabilities. Simple brain sensory (e.g. visual) processing of both healthy subject and people with consciousness disorders help checking hypotheses in the area of consciousness’ disorders’ mechanisms, including associations between consciousness and its neural correlates. Conclusions: The results are promising. Project announced herein will be developed and its next result will be presented in subsequent articles.
Czasopismo
Rocznik
Tom
Strony
art. no. 20200018
Opis fizyczny
Bibliogr. 41 poz., rys., tab.
Twórcy
autor
- Department of Informatics, Nicolaus Copernicus University, Toruń, Poland; Neurocognitive Laboratory, Center for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland
autor
- Department of Teleinformatics and Electronic Devices, Institute of Informatics, Kazimierz Wielki University, Bydgoszcz, Poland
- Neurocognitive Laboratory, Center for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland
- Institute of Informatics, Kazimierz Wielki University, Bydgoszcz, Poland
Bibliografia
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- 4. Laureys S, Owen AM, Schiff ND. Brain function in coma, vegetative state, and related disorders. Lancet Neurol 2004;3:537-46.
- 5. Giacino JT, Ashwal S, Childs N, Cranford R, Jennett B, Katz DI, et al. The minimally conscious state: definition and diagnostic criteria. Neurology 2002;58:349-53.
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- 37. Prokopowicz P, Czerniak J, Mikołajewski D, Apiecionek Ł, Ślęzak D. Theory and applications of ordered Fuzzy numbers A tribute to Professor Witold Kosiński. Part of the studies in Fuzziness and Soft computing book series (STUDFUZZ), 356, Springer 2017.
- 38. Wójcik GM, Masiak J, Kawiak A, Kwaśniewicz Ł, Schneider P, Polak N, et al. Mapping the human brain in frequency band analysis of brain cortex electroencephalographic activity for selected psychiatric disorders. Front Neuroinform 2018; 12:73.
- 39. Wójcik GM, Masiak J, Kawiak A, Schneider P, Kwaśniewicz Ł, Polak N, et al. New protocol for quantitative analysis of brain cortex electroencephalographic activity in patients with psychiatric disorders. Front Neuroinform 2018;12:27.
- 40. Wierzgała P, Zapała D, Wójcik GM, Masiak J. Most popular signal processing methods in motor-imagery BCI: a review and metaanalysis. Front Neuroinform 2018; 12:78.
- 41. Wójcik GM, Masiak J, Kawiak A, Kwaśniewicz Ł, Schneider P, Postępski F, et al. Analysis of decision-making process using methods of quantitative electroencephalography and machine learning tools. Front Neuroinform 2019;13:73.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dc85593e-a0d6-491b-bea5-e9b8120323a3