Neuropsychology and Electroencephalography in Rural Children at Neurodevelopmental Risk: A Scoping Review.
Gilberto Manuel Galindo-AldanaCynthia Torres-GonzálezPublished in: Pediatric reports (2023)
Children from rural areas face numerous possibilities of neurodevelopmental conditions that may compromise their well-being and optimal development. Neuropsychology and electroencephalography (EEG) have shown strong agreement in detecting correlations between these two variables and suggest an association with specific environmental and social risk factors. The present scoping review aims to describe studies reporting associations between EEG features and cognitive impairment in children from rural or vulnerable environments and describe the main risk factors influencing EEG abnormalities in these children. The method for this purpose was based on a string-based review from PubMed, EBSCOhost, and Web of Science, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). Qualitative and quantitative analyses were conducted from the outcomes that complied with the selected criteria. In total, 2280 records were identified; however, only 26 were eligible: 15 for qualitative and 11 for quantitative analysis. The findings highlight the significant literature on EEG and its relationship with cognitive impairment from studies in children with epilepsy and malnutrition. In general, there is evidence for the advantages of implementing EEG diagnosis and research techniques in children living under risk conditions. Specific associations between particular EEG features and cognitive impairment are described in the reviewed literature in children. Further research is needed to better describe and integrate the state of the art regarding EEG feature extraction.
Keyphrases
- cognitive impairment
- young adults
- functional connectivity
- working memory
- systematic review
- resting state
- risk factors
- healthcare
- type diabetes
- randomized controlled trial
- mental health
- public health
- south africa
- risk assessment
- adipose tissue
- high resolution
- deep learning
- mass spectrometry
- adverse drug
- electronic health record
- case control
- congenital heart disease