Identification of Functional Cortical Plasticity in Children with Cerebral Palsy Associated to Robotic-Assisted Gait Training: An fNIRS Study.
cerebral palsy
machine learning (ML)
near infrared spectroscopy (fNIRS)
neurological disorders
rehabilitation
robotic-assisted gait training (RAGT)
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
16 Nov 2022
16 Nov 2022
Historique:
received:
12
10
2022
revised:
14
11
2022
accepted:
15
11
2022
entrez:
26
11
2022
pubmed:
27
11
2022
medline:
27
11
2022
Statut:
epublish
Résumé
Cerebral palsy (CP) is a non-progressive neurologic condition that causes gait limitations, spasticity, and impaired balance and coordination. Robotic-assisted gait training (RAGT) has become a common rehabilitation tool employed to improve the gait pattern of people with neurological impairments. However, few studies have demonstrated the effectiveness of RAGT in children with CP and its neurological effects through portable neuroimaging techniques, such as functional near-infrared spectroscopy (fNIRS). The aim of the study is to evaluate the neurophysiological processes elicited by RAGT in children with CP through fNIRS, which was acquired during three sessions in one month. The repeated measure ANOVA was applied to the β-values delivered by the General Linear Model (GLM) analysis used for fNIRS data analysis, showing significant differences in the activation of both prefrontal cortex (F (1.652, 6.606) = 7.638;
Identifiants
pubmed: 36431267
pii: jcm11226790
doi: 10.3390/jcm11226790
pmc: PMC9692288
pii:
doi:
Types de publication
Journal Article
Langues
eng
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