Fearful inhibition and impulsivity-anger significantly predict internalizing and externalizing problems, respectively. An important moderator that may affect these associations is frontal EEG asymmetry (FA). We examined how temperament and FA at 6 years interactively predicted behavioral problems at 9 years. A community sample of 186 children (93 boys, 93 girls) participated in the study. Results indicated that the effect of fearful inhibition on parent-reported internalizing problems increased as children exhibited greater right FA. The effect of impulsivity-anger on parent-reported externalizing problems increased as children showed greater left FA. Because FA was allowed to vary rather than children being dichotomized into membership in left FA and right FA groups, we observed that children's FA contributed to the resilience process only when FA reached specific asymmetry levels. These findings highlight the importance of considering the different functions of FA in combination with specific dimensions of temperament in predicting children's socioemotional outcomes. Clinical implications include providing suggestions for intervention services by demonstrating the role of FA in developing behavioral problems and inspiring research on whether it is possible to alter EEG activation and thus potentially improve developmental outcomes.
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http://dx.doi.org/10.1017/S0954579420000309 | DOI Listing |
EES Catal
December 2024
Department of Chemical Engineering, Delft University of Technology 2629 HZ Delft The Netherlands
Electrochemical CO reduction offers a promising method of converting renewable electrical energy into valuable hydrocarbon compounds vital to hard-to-abate sectors. Significant progress has been made on the lab scale, but scale-up demonstrations remain limited. Because of the low energy efficiency of CO reduction, we suspect that significant thermal gradients may develop in industrially relevant dimensions.
View Article and Find Full Text PDFMayo Clin Proc Digit Health
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Department Radiology, Stanford University, Stanford, CA.
Artificial intelligence (AI) and machine learning (ML) are driving innovation in biosciences and are already affecting key elements of medical scholarship and clinical care. Many schools of medicine are capitalizing on the promise of these new technologies by establishing academic units to catalyze and grow research and innovation in AI/ML. At Stanford University, we have developed a successful model for an AI/ML research center with support from academic leaders, clinical departments, extramural grants, and industry partners.
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View Article and Find Full Text PDFJ Psychiatr Res
January 2025
Psychological Health and Readiness, Naval Health Research Center, San Diego, CA, USA. Electronic address:
Despite effective psychotherapy options for posttraumatic stress disorder (PTSD), some patients do not fully respond, and even among those reporting substantial improvement, residual symptoms following treatment are common. Psychiatric conditions frequently co-occur with PTSD, yet research on residual symptoms among comorbid samples is lacking. This study examined residual symptoms of PTSD and depression among 71 active duty service members with PTSD and comorbid major depressive disorder (MDD).
View Article and Find Full Text PDFPilot Feasibility Stud
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Department of Health Service & Population Research, David Goldberg Centre, King's College London, Denmark Hill, London, UK.
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