Literature DB >> 28436831

Gamma power in rural Pakistani children: Links to executive function and verbal ability.

Amanda R Tarullo1, Jelena Obradović2, Brandon Keehn3, Muneera A Rasheed4, Saima Siyal4, Charles A Nelson5, Aisha K Yousafzai6.   

Abstract

Children in low- and middle-income countries are at high risk of cognitive deficits due to environmental deprivation that compromises brain development. Despite the high prevalence of unrealized cognitive potential, very little is known about neural correlates of cognition in this population. We assessed resting EEG power and cognitive ability in 105 highly disadvantaged 48-month-old children in rural Pakistan. An increase in EEG power in gamma frequency bands (21-30Hz and 31-45Hz) was associated with better executive function. For girls, EEG gamma power also related to higher verbal IQ. This study identifies EEG gamma power as a neural marker of cognitive function in disadvantaged children in low- and middle-income countries. Elevated gamma power may be a particularly important protective factor for girls, who may experience greater deprivation due to gender inequality.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Cognitive development; EEG; Executive function; Low- and middle-income countries; Poverty; Sex differences

Mesh:

Year:  2017        PMID: 28436831     DOI: 10.1016/j.dcn.2017.03.007

Source DB:  PubMed          Journal:  Dev Cogn Neurosci        ISSN: 1878-9293            Impact factor:   6.464


  12 in total

1.  Reduced frontal gamma power at 24 months is associated with better expressive language in toddlers at risk for autism.

Authors:  Carol L Wilkinson; April R Levin; Laurel J Gabard-Durnam; Helen Tager-Flusberg; Charles A Nelson
Journal:  Autism Res       Date:  2019-05-22       Impact factor: 5.216

2.  Maternal cortisol slope at 6 months predicts infant cortisol slope and EEG power at 12 months.

Authors:  Ashley M St John; Katie Kao; Jacqueline Liederman; Philip G Grieve; Amanda R Tarullo
Journal:  Dev Psychobiol       Date:  2017-07-07       Impact factor: 3.038

3.  Timing of adoption is associated with electrophysiological brain activity and externalizing problems among children adopted internationally.

Authors:  Johanna Bick; Rebecca Lipschutz; Alexandra Tabachnick; Brian Biekman; Danielle Katz; Robert Simons; Mary Dozier
Journal:  Dev Psychobiol       Date:  2022-05       Impact factor: 2.531

Review 4.  Poverty's Impact on Children's Executive Functions: Global Considerations.

Authors:  Stephanie L Haft; Fumiko Hoeft
Journal:  New Dir Child Adolesc Dev       Date:  2017-12

5.  Parental Language Input Predicts Neuroscillatory Patterns Associated with Language Development in Toddlers at Risk of Autism.

Authors:  Rachel R Romeo; Boin Choi; Laurel J Gabard-Durnam; Carol L Wilkinson; April R Levin; Meredith L Rowe; Helen Tager-Flusberg; Charles A Nelson
Journal:  J Autism Dev Disord       Date:  2021-06-29

6.  Effects of Maternal Psychopathology and Education Level on Neurocognitive Development in Infants of Adolescent Mothers Living in Poverty in Brazil.

Authors:  Elizabeth Shephard; Daniel Fatori; Larissa Rezende Mauro; Mauro V de Medeiros Filho; Marcelo Q Hoexter; Anna M Chiesa; Lislaine A Fracolli; Helena Brentani; Alexandre A Ferraro; Charles A Nelson; Euripedes C Miguel; Guilherme V Polanczyk
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-05-22

7.  Complex genetic dependencies among growth and neurological phenotypes in healthy children: Towards deciphering developmental mechanisms.

Authors:  Lisa Uechi; Mahjoubeh Jalali; Jayson D Wilbur; Jonathan L French; N L Jumbe; Michael J Meaney; Peter D Gluckman; Neerja Karnani; Nikita A Sakhanenko; David J Galas
Journal:  PLoS One       Date:  2020-12-03       Impact factor: 3.240

8.  EEG signatures of cognitive and social development of preschool children-a systematic review.

Authors:  Supriya Bhavnani; Georgia Lockwood Estrin; Rianne Haartsen; Sarah K G Jensen; Teodora Gliga; Vikram Patel; Mark H Johnson
Journal:  PLoS One       Date:  2021-02-19       Impact factor: 3.240

9.  Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan.

Authors:  Muneera A Rasheed; Prem Chand; Saad Ahmed; Hamza Sharif; Zahra Hoodbhoy; Ayat Siddiqui; Babar S Hasan
Journal:  PLoS One       Date:  2021-02-08       Impact factor: 3.240

10.  Spontaneous cortical MEG activity undergoes unique age- and sex-related changes during the transition to adolescence.

Authors:  Lauren R Ott; Samantha H Penhale; Brittany K Taylor; Brandon J Lew; Yu-Ping Wang; Vince D Calhoun; Julia M Stephen; Tony W Wilson
Journal:  Neuroimage       Date:  2021-09-10       Impact factor: 6.556

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