Javascript must be enabled to continue!
Life-long effects of malnutrition using semi-quantitative EEG analysis
View through CrossRef
1
ABSTRACT
The non-linear spatiotemporal features in the continuing EEG recordings could be helpful to infer the physio and pathological significance of early insults on the brain, such as early malnutrition and their long-term effects. A unique opportunity is opened with the Barbados Nutrition Study (BNS) dedicated to studying Protein-Energy Malnutrition (PEM) with two groups, children suffering an early PEM episode and their controls. We evaluated the resting-state EEG (N=108, PEM=46) in 1978, and we repeated the EEG (N=97, PEM=46) in 2018. We did a qualitative analysis of the EEG using a semi-quantitative scale (Grand Total EEG (GTE)) and an item response theory (IRT) approach to estimate a latent variable that is able to explain the subjacent neurophysiological status (NPS). Finally, we applied a mixed-effects model with a sensitivity index for ignorability to test differences between the controls and PEM groups while accounting for the missing data mechanisms (
nlme
(Pinheiro J. 2020) and the
ISNI
package in R(Xie et al., 2018). The fixed effects were group, age, gender, and socioeconomic status; the random effect was the variability inherent to each participant and evaluator.
Results
The simple visual inspection of the 1978 EEG recordings detected 39 participants with abnormalities (28 PEM and 11 Controls; p<0.05); in 2018, a total of 63 participants showed abnormalities in the EEG recordings (35 PEM and 28 Controls; p<0.01)).
The polytomous IRT analysis revealed that all items had been loaded well onto the latent factor, and the highest value of the Focal abnormality reached 0.97. The fixed effect of the groups (PEM vs. Control) was highly significant, with a
p-value of 0
and the
c index of 5.27
. Age was also significant with a
p-value of 0.0093
and the
c index of 14.793
, whereas Gender and SES were not significant. The contrasts at the two different time points (childhood (1978) mean age= 8.45, adulthood (2018) mean age=48.30) also showed highly significant differences between groups with a
p-value of 0
.
Conclusions
EEG abnormalities were seen in both PEM and control groups during the school years and later in middle adulthood, with a higher proportion of abnormalities in the previously malnourished BNS participants at both ages. The statistical significance of these differences was confirmed through a latent variable approach and a linear mixed-effect model, which discriminated successfully against the long-term effects of early malnutrition on the brain up to 50 years after the onset of malnutrition in the first year of life.
Title: Life-long effects of malnutrition using semi-quantitative EEG analysis
Description:
1
ABSTRACT
The non-linear spatiotemporal features in the continuing EEG recordings could be helpful to infer the physio and pathological significance of early insults on the brain, such as early malnutrition and their long-term effects.
A unique opportunity is opened with the Barbados Nutrition Study (BNS) dedicated to studying Protein-Energy Malnutrition (PEM) with two groups, children suffering an early PEM episode and their controls.
We evaluated the resting-state EEG (N=108, PEM=46) in 1978, and we repeated the EEG (N=97, PEM=46) in 2018.
We did a qualitative analysis of the EEG using a semi-quantitative scale (Grand Total EEG (GTE)) and an item response theory (IRT) approach to estimate a latent variable that is able to explain the subjacent neurophysiological status (NPS).
Finally, we applied a mixed-effects model with a sensitivity index for ignorability to test differences between the controls and PEM groups while accounting for the missing data mechanisms (
nlme
(Pinheiro J.
2020) and the
ISNI
package in R(Xie et al.
, 2018).
The fixed effects were group, age, gender, and socioeconomic status; the random effect was the variability inherent to each participant and evaluator.
Results
The simple visual inspection of the 1978 EEG recordings detected 39 participants with abnormalities (28 PEM and 11 Controls; p<0.
05); in 2018, a total of 63 participants showed abnormalities in the EEG recordings (35 PEM and 28 Controls; p<0.
01)).
The polytomous IRT analysis revealed that all items had been loaded well onto the latent factor, and the highest value of the Focal abnormality reached 0.
97.
The fixed effect of the groups (PEM vs.
Control) was highly significant, with a
p-value of 0
and the
c index of 5.
27
.
Age was also significant with a
p-value of 0.
0093
and the
c index of 14.
793
, whereas Gender and SES were not significant.
The contrasts at the two different time points (childhood (1978) mean age= 8.
45, adulthood (2018) mean age=48.
30) also showed highly significant differences between groups with a
p-value of 0
.
Conclusions
EEG abnormalities were seen in both PEM and control groups during the school years and later in middle adulthood, with a higher proportion of abnormalities in the previously malnourished BNS participants at both ages.
The statistical significance of these differences was confirmed through a latent variable approach and a linear mixed-effect model, which discriminated successfully against the long-term effects of early malnutrition on the brain up to 50 years after the onset of malnutrition in the first year of life.
Related Results
THE EFFECT OF PETHIDINE ON THE NEONATAL EEG
THE EFFECT OF PETHIDINE ON THE NEONATAL EEG
SUMMARYThirty‐two preterm infants were monitored with an on‐line cotside EEG system for periods of up to nine days. Changes in the normal pattern of discontinuity of the EEG were s...
Computation of the electroencephalogram (EEG) from network models of point neurons
Computation of the electroencephalogram (EEG) from network models of point neurons
Abstract
The electroencephalogram (EEG) is one of the main tools for non-invasively studying brain function and dysfunction. To better interpret EEGs in terms of ne...
Hybrid AI-Based Approach Utilizing EEG-Facial Expression fusion for Human-Machine Interaction
Hybrid AI-Based Approach Utilizing EEG-Facial Expression fusion for Human-Machine Interaction
Approche Hybride Basée sur l'IA, par fusion EEG-Expression Faciale pour l'Interaction Humain-Machine
La reconnaissance des émotions par électroencéphalogramme (EEG)...
[RETRACTED] Keanu Reeves CBD Gummies v1
[RETRACTED] Keanu Reeves CBD Gummies v1
[RETRACTED]Keanu Reeves CBD Gummies ==❱❱ Huge Discounts:[HURRY UP ] Absolute Keanu Reeves CBD Gummies (Available)Order Online Only!! ❰❰= https://www.facebook.com/Keanu-Reeves-CBD-G...
A cross-sectional survey study on the correlation analysis of nutritional status and intestinal flora in patients with esophageal cancer
A cross-sectional survey study on the correlation analysis of nutritional status and intestinal flora in patients with esophageal cancer
ObjectiveThis study aims to examine the nutritional status of individuals diagnosed with esophageal cancer and compare the nutritional indicators and intestinal flora between malno...
Evaluation of the Effects of Malnutrition Detected in Children and Adolescents on the Adult Final Height
Evaluation of the Effects of Malnutrition Detected in Children and Adolescents on the Adult Final Height
Aim: It is known that chronic malnutrition observed in the early childhood creates many negative results in adult life. Studies examining the effects of nutritional deficiency expe...
Evaluation of Mathematical Cognitive Functions with the Use of EEG Brain Imaging
Evaluation of Mathematical Cognitive Functions with the Use of EEG Brain Imaging
During the last decades, the interest displayed in neurocognitive and brain science research is relatively high. In this chapter, the cognitive neuroscience field approach focuses ...
Motion robustness validation of a Phase-Locked Loop for EEG phase tracking in Brain-Computer Interfaces
Motion robustness validation of a Phase-Locked Loop for EEG phase tracking in Brain-Computer Interfaces
Background. Closed loop brain-computer interfaces dynamically adjust stimulation settings and/or timings based upon concurrently measured data. EEG (electroencephalography) is a wi...

