Literature DB >> 18375035

A longitudinal study of cortical EEG activity in adolescents.

Patrick Pössel1, Hanna Lo, Anne Fritz, Simone Seemann.   

Abstract

BACKGROUND: The objective of this study is to test Davidson's, and Heller and Nitschke's models stating cortical activity in adolescents to be a marker for increased risk for depression.
METHODS: Alpha activity was measured in 80 adolescents from medial-frontal (F3/4), lateral-frontal (F7/8), and medial-parietal (P3/4) electrodes, as well as self-reported depression and anxiety twice within 12 months. Step-wise hierarchical regression analyses with anxiety as covariate were calculated with alpha asymmetry as predicting variable and depression as target variable and vice versa.
RESULTS: Independent of whether anxiety was used as covariate or not, frontal and parietal alpha asymmetry predict depression, but depression did not predict alpha activity.
CONCLUSIONS: The results partially support both models and conclusions drawn by studies with remitted depressed subjects. However, it remains unclear if anxious arousal has a partial influence on the predictive association between alpha activity and depression.

Entities:  

Mesh:

Year:  2008        PMID: 18375035     DOI: 10.1016/j.biopsycho.2008.02.004

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  12 in total

1.  The relationship between alpha asymmetry and ADHD depends on negative affect level and parenting practices.

Authors:  Brittany R Alperin; Christiana J Smith; Hanna C Gustafsson; McKenzie T Figuracion; Sarah L Karalunas
Journal:  J Psychiatr Res       Date:  2019-06-18       Impact factor: 4.791

2.  The oft-neglected role of parietal EEG asymmetry and risk for major depressive disorder.

Authors:  Jennifer L Stewart; David N Towers; James A Coan; John J B Allen
Journal:  Psychophysiology       Date:  2011-01       Impact factor: 4.016

3.  Resting and task-elicited prefrontal EEG alpha asymmetry in depression: support for the capability model.

Authors:  Jennifer L Stewart; James A Coan; David N Towers; John J B Allen
Journal:  Psychophysiology       Date:  2014-02-26       Impact factor: 4.016

4.  Resting frontal brain asymmetry is linked to future depressive symptoms in women.

Authors:  Jennifer L Stewart; John J B Allen
Journal:  Biol Psychol       Date:  2018-06-18       Impact factor: 3.251

5.  α Power, α asymmetry and anterior cingulate cortex activity in depressed males and females.

Authors:  Natalia Jaworska; Pierre Blier; Wendy Fusee; Verner Knott
Journal:  J Psychiatr Res       Date:  2012-08-28       Impact factor: 4.791

6.  Depression symptom dimensions and asymmetrical frontal cortical activity while anticipating reward.

Authors:  Brady D Nelson; Ellen M Kessel; Daniel N Klein; Stewart A Shankman
Journal:  Psychophysiology       Date:  2017-05-27       Impact factor: 4.016

7.  The novel frontal alpha asymmetry factor and its association with depression, anxiety, and personality traits.

Authors:  Alessandra Monni; Katherine L Collison; Kaylin E Hill; Belel Ait Oumeziane; Dan Foti
Journal:  Psychophysiology       Date:  2022-05-26       Impact factor: 4.348

8.  Do positive and negative temperament traits interact in predicting risk for depression? A resting EEG study of 329 preschoolers.

Authors:  Stewart A Shankman; Daniel N Klein; Dana C Torpey; Thomas M Olino; Margaret W Dyson; Jiyon Kim; C Emily Durbin; Brady D Nelson; Craig E Tenke
Journal:  Dev Psychopathol       Date:  2011-05

Review 9.  The dynamic opponent relativity model: an integration and extension of capacity theory and existing theoretical perspectives on the neuropsychology of arousal and emotion.

Authors:  Clinton S Comer; Patti Kelly Harrison; David W Harrison
Journal:  Springerplus       Date:  2015-07-14

10.  Frontal cerebral oxygenation asymmetry: intersubject variability and dependence on systemic physiology, season, and time of day.

Authors:  Hamoon Zohdi; Felix Scholkmann; Ursula Wolf
Journal:  Neurophotonics       Date:  2020-06-23       Impact factor: 3.593

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