Literature DB >> 3410648

EEG maturation on children with different economic and psychosocial characteristics.

T Harmony1, A Alvarez, R Pascual, A Ramos, E Marosi, A E Díaz de León, P Valdés, J Becker.   

Abstract

It has been shown that EEG maturation can be described in terms of regression equations on age of broad band EEG frequency parameters. In the present paper six groups of children with different economic and psychosocial characteristics of three countries were studied. Regression equations on age of the EEG relative power (expressed in percentages of the total EEG activity) in the delta, theta, alpha and beta bands in 8 bipolar derivations were computed in each group of children and the slopes compared with those previously published by John et al. (1980). Those children who grew up with adequate nutritional, sanitary and cultural environmental conditions showed the same slopes as U.S. and Swedish children selected with strict criteria of normality. Children nourished in poor socioeconomic and sanitary environments and who frequently had pathological personal antecedents with risk factors associated with brain damage showed either a slow maturation of the EEG characterized by smaller slopes of theta relative power or a great variance of EEG parameters and no relation of these parameters to age.

Entities:  

Mesh:

Year:  1988        PMID: 3410648     DOI: 10.3109/00207458808985747

Source DB:  PubMed          Journal:  Int J Neurosci        ISSN: 0020-7454            Impact factor:   2.292


  8 in total

1.  Atypical EEG power correlates with indiscriminately friendly behavior in internationally adopted children.

Authors:  Amanda R Tarullo; Melissa C Garvin; Megan R Gunnar
Journal:  Dev Psychol       Date:  2011-03

2.  Subtyping of psychiatric patients by cluster analysis of QEEG.

Authors:  E R John; L S Prichep; M Almas
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

3.  QEEG profiles of psychiatric disorders.

Authors:  L S Prichep; E R John
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

4.  Infants of mothers with higher physiological stress show alterations in brain function.

Authors:  Sonya V Troller-Renfree; Natalie H Brito; Pooja M Desai; Ana G Leon-Santos; Cynthia A Wiltshire; Summer N Motton; Jerrold S Meyer; Joseph Isler; William P Fifer; Kimberly G Noble
Journal:  Dev Sci       Date:  2020-05-13

5.  Different Resting State EEG Features in Children from Switzerland and Saudi Arabia.

Authors:  Nsreen Alahmadi; Sergey A Evdokimov; Yury Juri Kropotov; Andreas M Müller; Lutz Jäncke
Journal:  Front Hum Neurosci       Date:  2016-11-02       Impact factor: 3.169

6.  The Cuban Human Brain Mapping Project, a young and middle age population-based EEG, MRI, and cognition dataset.

Authors:  Pedro A Valdes-Sosa; Lidice Galan-Garcia; Jorge Bosch-Bayard; Maria L Bringas-Vega; Eduardo Aubert-Vazquez; Iris Rodriguez-Gil; Samir Das; Cecile Madjar; Trinidad Virues-Alba; Zia Mohades; Leigh C MacIntyre; Christine Rogers; Shawn Brown; Lourdes Valdes-Urrutia; Alan C Evans; Mitchell J Valdes-Sosa
Journal:  Sci Data       Date:  2021-02-05       Impact factor: 6.444

7.  The impact of a poverty reduction intervention on infant brain activity.

Authors:  Sonya V Troller-Renfree; Molly A Costanzo; Greg J Duncan; Katherine Magnuson; Lisa A Gennetian; Hirokazu Yoshikawa; Sarah Halpern-Meekin; Nathan A Fox; Kimberly G Noble
Journal:  Proc Natl Acad Sci U S A       Date:  2022-02-01       Impact factor: 12.779

8.  Frontal EEG/ERP correlates of attentional processes, cortisol and motivational states in adolescents from lower and higher socioeconomic status.

Authors:  Amedeo D'Angiulli; Patricia Maria Van Roon; Joanne Weinberg; Tim F Oberlander; Ruth E Grunau; Clyde Hertzman; Stefania Maggi
Journal:  Front Hum Neurosci       Date:  2012-11-16       Impact factor: 3.169

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.