Version 1
: Received: 18 May 2023 / Approved: 19 May 2023 / Online: 19 May 2023 (07:35:31 CEST)
How to cite:
Aldana, G. G.; González, C. T. Neuropsychology and EEG in Rural Children at Neurodevelopmental Risk: Meta-Analysis. Preprints2023, 2023051394. https://doi.org/10.20944/preprints202305.1394.v1
Aldana, G. G.; González, C. T. Neuropsychology and EEG in Rural Children at Neurodevelopmental Risk: Meta-Analysis. Preprints 2023, 2023051394. https://doi.org/10.20944/preprints202305.1394.v1
Aldana, G. G.; González, C. T. Neuropsychology and EEG in Rural Children at Neurodevelopmental Risk: Meta-Analysis. Preprints2023, 2023051394. https://doi.org/10.20944/preprints202305.1394.v1
APA Style
Aldana, G. G., & González, C. T. (2023). Neuropsychology and EEG in Rural Children at Neurodevelopmental Risk: Meta-Analysis. Preprints. https://doi.org/10.20944/preprints202305.1394.v1
Chicago/Turabian Style
Aldana, G. G. and Cynthia Torres González. 2023 "Neuropsychology and EEG in Rural Children at Neurodevelopmental Risk: Meta-Analysis" Preprints. https://doi.org/10.20944/preprints202305.1394.v1
Abstract
Children from rural areas face numerous possibilities for 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 meta-analysis aims to integrate the qualitative and quantitative EEG findings, their relationship with cognitive impairment in children living in vulnerable or rural environments, and the main risk factors influencing EEG abnormalities. The method for this purpose was based on a systematic string-based review from 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. A total of 92 records were identified; however, only 20 were eligible, considering 11 for qualitative and 9 for quantitative analysis. The findings highlight a significant amount of literature on EEG and its relation with cognitive impairment from studies in children with epilepsy and malnutrition. In general, there is evidence about the advantages of implementing EEG diagnosis and research techniques in children living under risk conditions. Further research is needed to better describe and integrate the state of the art regarding EEG features extraction.
Keywords
Rural; well-being; infant welfare; risk factors
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
