| Title |
Positive and Negative Emotionality at Age 3 Predicts Change in Frontal EEG Asymmetry across Early Childhood
|
|---|---|
| Published in |
Research on Child and Adolescent Psychopathology, April 2018
|
| DOI | 10.1007/s10802-018-0433-7 |
| Pubmed ID | |
| Authors |
Brandon L. Goldstein, Stewart A. Shankman, Autumn Kujawa, Dana C. Torpey-Newman, Margaret W. Dyson, Thomas M. Olino, Daniel N. Klein |
| Abstract |
Depression is characterized by low positive emotionality (PE) and high negative emotionality (NE), as well as asymmetries in resting electroencephalography (EEG) alpha power. Moreover, frontal asymmetry has itself been linked to PE, NE, and related constructs. However, little is known about associations of temperamental PE and NE with resting EEG asymmetries in young children and whether this association changes as a function of development. In a longitudinal study of 254 three-year old children, we assessed PE and NE at age 3 using a standard laboratory observation procedure. Frontal EEG asymmetries were assessed at age 3 and three years later at age 6. We observed a significant three-way interaction of preschool PE and NE and age at assessment for asymmetry at F3-F4 electrode sites, such that children with both low PE and high NE developed a pattern of increasingly lower relative left-frontal cortical activity over time. In addition, F7-F8 asymmetry was predicted by a PE by time interaction, such that the frontal asymmetry in children with high PE virtually disappeared by age 6. Overall, these findings suggest that early temperament is associated with developmental changes in frontal asymmetry, and that the combination of low PE and high NE predicts the development of the pattern of frontal symmetry that is associated with depression. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 15% |
| Student > Master | 7 | 15% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Unspecified | 4 | 8% |
| Other | 8 | 17% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 29% |
| Unspecified | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Arts and Humanities | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 18 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 April 2018.
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#22,767,715
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Outputs from Research on Child and Adolescent Psychopathology
#1,947
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Outputs of similar age from Research on Child and Adolescent Psychopathology
#27
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