EEG Evaluation in a Neuropsychological Intervention Program Based on Virtual Reality in Adults with Parkinson's Disease.
Parkinson’s disease
cognitive functions
electroencephalography
virtual reality
Journal
Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191
Informations de publication
Date de publication:
12 Sep 2022
12 Sep 2022
Historique:
received:
30
06
2022
revised:
09
08
2022
accepted:
18
08
2022
entrez:
23
9
2022
pubmed:
24
9
2022
medline:
28
9
2022
Statut:
epublish
Résumé
Nowadays, several strategies for treating neuropsychologic function loss in Parkinson’s disease (PD) have been proposed, such as physical activity performance and developing games to exercise the mind. However, few studies illustrate the incidence of these therapies in neuronal activity. This work aims to study the feasibility of a virtual reality-based program oriented to the cognitive functions’ rehabilitation of PD patients. For this, the study was divided into intervention with the program, acquisition of signals, data processing, and results analysis. The alpha and beta bands’ power behavior was determined by evaluating the electroencephalography (EEG) signals obtained during the execution of control tests and games of the “Hand Physics Lab” Software, from which five games related to attention, planning, and sequencing, concentration, and coordination were taken. Results showed the characteristic performance of the cerebral bands during resting states and activity states. In addition, it was determined that the beta band increased its activity in all the cerebral lobes in all the tested games (p-value < 0.05). On the contrary, just one game exhibited an adequate performance of the alpha band activity of the temporal and frontal lobes (p-value < 0.02). Furthermore, the visual attention and the capacity to process and interpret the information given by the surroundings was favored during the execution of trials (p-value < 0.05); thus, the efficacy of the virtual reality program to recover cognitive functions was verified. The study highlights implementing new technologies to rehabilitate people with neurodegenerative diseases.
Identifiants
pubmed: 36140136
pii: bios12090751
doi: 10.3390/bios12090751
pmc: PMC9496185
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Références
Parkinsonism Relat Disord. 2015 Jul;21(7):683-91
pubmed: 25920541
Parkinsonism Relat Disord. 2012 Jul;18(6):742-7
pubmed: 22503538
Neuroepidemiology. 2016;46(4):292-300
pubmed: 27105081
Sensors (Basel). 2020 Apr 11;20(8):
pubmed: 32290517
J Neurosci Methods. 2000 Dec 15;104(1):35-44
pubmed: 11163409
Mov Disord. 2019 Feb;34(2):180-198
pubmed: 30653247
J Neurol Neurosurg Psychiatry. 2003 Apr;74(4):419-22
pubmed: 12640053
Biol Psychol. 2017 Oct;129:293-304
pubmed: 28943465
Comput Intell Neurosci. 2019 Jun 25;2019:7051079
pubmed: 31341468
Brain. 1986 Oct;109 ( Pt 5):845-83
pubmed: 3779372
Clin Park Relat Disord. 2021 Dec 08;6:100125
pubmed: 34950865
J Geriatr Psychiatry Neurol. 2018 Nov;31(6):312-318
pubmed: 30360679
Parkinsons Dis. 2011;2011:908306
pubmed: 21687773
Int Rev Neurobiol. 2017;133:679-717
pubmed: 28802938
Front Aging Neurosci. 2018 Apr 03;10:88
pubmed: 29666577
Brain Commun. 2022 Apr 13;4(3):fcac096
pubmed: 35755636
J Neuroeng Rehabil. 2019 Oct 17;16(1):119
pubmed: 31623622
Exp Gerontol. 2019 Jan;115:79-87
pubmed: 30502539
Biol Psychol. 2007 May;75(2):154-64
pubmed: 17316957
Clin Park Relat Disord. 2021 Nov 24;5:100118
pubmed: 34927047
Exp Neurol. 2009 Jan;215(1):20-8
pubmed: 18929561
Brain Cogn. 2015 Oct;99:68-77
pubmed: 26263381
NeuroRehabilitation. 2019;45(2):285-290
pubmed: 31498141
J Neural Transm (Vienna). 2017 Aug;124(8):901-905
pubmed: 28150045
J Neurochem. 2016 Oct;139 Suppl 1:318-324
pubmed: 27401947
Behav Brain Funct. 2014 Apr 09;10:12
pubmed: 24716619
Int J Psychophysiol. 2013 Sep;89(3):334-41
pubmed: 23688673