Quantitative EEG Tomography of Early Childhood Malnutrition

Frontiers in Neuroscience
Alberto Taboada-CrispiPedro A Valdés-Sosa

Abstract

The goal of this study is to identify the quantitative electroencephalographic (qEEG) signature of early childhood malnutrition [protein-energy malnutrition (PEM)]. To this end, archival digital EEG recordings of 108 participants in the Barbados Nutrition Study (BNS) were recovered and cleaned of artifacts (46 children who suffered an episode of PEM limited to the first year of life) and 62 healthy controls). The participants of the still ongoing BNS were initially enrolled in 1973, and EEGs for both groups were recorded in 1977-1978 (at 5-11 years). Scalp and source EEG Z-spectra (to correct for age effects) were obtained by comparison with the normative Cuban Human Brain Mapping database. Differences between both groups in the z spectra (for all electrode locations and frequency bins) were assessed by t-tests with thresholds corrected for multiple comparisons by permutation tests. Four clusters of differences were found: (a) increased theta activity (3.91-5.86 Hz) in electrodes T4, O2, Pz and in the sources of the supplementary motor area (SMA); b) decreased alpha1 (8.59-8.98 Hz) in Fronto-central electrodes and sources of widespread bilateral prefrontal are; (c) increased alpha2 (11.33-12.50 Hz) in Temporo-parietal electrode...Continue Reading

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Citations

Dec 19, 2020·Frontiers in Neuroscience·Jorge Bosch-BayardPedro A Valdes-Sosa
Feb 8, 2021·NeuroImage·Janina R GallerPedro A Valdés-Sosa

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Software Mentioned

EEGLAB
qEEGt
CBRAIN
AAL Atlas
MIRT
DEDDAS
VARETA
MATLAB based
R
DEDAAS

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