[HTML][HTML] Neurodevelopmental effects of childhood malnutrition: A neuroimaging perspective
JR Galler, ML Bringas-Vega, Q Tang, AG Rabinowitz… - Neuroimage, 2021 - Elsevier
Approximately one in five children worldwide suffers from childhood malnutrition and its
complications, including increased susceptibility to inflammation and infectious diseases …
complications, including increased susceptibility to inflammation and infectious diseases …
Global burden of nutritional deficiencies among children under 5 years of age from 2010 to 2019
T Yue, Q Zhang, G Li, H Qin - Nutrients, 2022 - mdpi.com
Under-five years of age is a critical period for children's growth and development. Nutritional
deficiency during this period is associated with wasting, underweight and stunting. We …
deficiency during this period is associated with wasting, underweight and stunting. We …
[HTML][HTML] Harmonized-multinational qEEG norms (HarMNqEEG)
This paper extends frequency domain quantitative electroencephalography (qEEG) methods
pursuing higher sensitivity to detect Brain Developmental Disorders. Prior qEEG work lacked …
pursuing higher sensitivity to detect Brain Developmental Disorders. Prior qEEG work lacked …
Event-related potential and oscillatory cortical activities of artistic methodology in information visualization design in human–computer interface
Z Rui, D Chang, Z Gu - International Journal of Human-Computer Studies, 2023 - Elsevier
Data visualization is essential for interface design in human–computer interaction. With the
advances in information technology, artists and designers have used creative thoughts and …
advances in information technology, artists and designers have used creative thoughts and …
[HTML][HTML] Early protein energy malnutrition impacts life-long developmental trajectories of the sources of EEG rhythmic activity
J Bosch-Bayard, FA Razzaq, C Lopez-Naranjo… - NeuroImage, 2022 - Elsevier
Abstract Protein Energy Malnutrition (PEM) has lifelong consequences on brain
development and cognitive function. We studied the lifelong developmental trajectories of …
development and cognitive function. We studied the lifelong developmental trajectories of …
Neuropsychology and Electroencephalography in Rural Children at Neurodevelopmental Risk: A Scoping Review
G Galindo-Aldana, C Torres-González - Pediatric Reports, 2023 - mdpi.com
Children from rural areas face numerous possibilities of neurodevelopmental conditions that
may compromise their well-being and optimal development. Neuropsychology and …
may compromise their well-being and optimal development. Neuropsychology and …
Spectral quantitative and semi-quantitative EEG provide complementary information on the life-long effects of early childhood malnutrition on cognitive decline
FA Razzaq, A Calzada-Reyes, Q Tang, Y Guo… - Frontiers in …, 2023 - frontiersin.org
Objective This study compares the complementary information from semi-quantitative EEG
(sqEEG) and spectral quantitative EEG (spectral-qEEG) to detect the life-long effects of early …
(sqEEG) and spectral quantitative EEG (spectral-qEEG) to detect the life-long effects of early …
A novel local explainability approach for spectral insight into raw eeg-based deep learning classifiers
Spectral analysis of electroencephalography (EEG) data has developed as an important
area of EEG research. EEG spectra have been analyzed with explainable machine learning …
area of EEG research. EEG spectra have been analyzed with explainable machine learning …
Resting state healthy EEG: the first wave of the Cuban normative database
J Bosch-Bayard, L Galan, E Aubert Vazquez… - Frontiers in …, 2020 - frontiersin.org
Data sharing is one of the principal premises of open science. It is understood as one of the
main sources for research reproducibility, data reuse and data integration. It is a good way of …
main sources for research reproducibility, data reuse and data integration. It is a good way of …
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data
As the field of deep learning has grown in recent years, its application to the domain of raw
resting-state electroencephalography (EEG) has also increased. Relative to traditional …
resting-state electroencephalography (EEG) has also increased. Relative to traditional …