BackgroundFrontal alpha asymmetry (FAA) has frequently been reported as potential discriminator between depressed and healthy individuals, although contradicting results have been published. The aim of the current study was to provide an up to date meta-analysis on the diagnostic value of FAA in major depressive disorder (MDD) and to further investigate discrepancies in a large cross-sectional dataset.MethodsSCOPUS database was searched through February 2017. Studies were included if the article reported on both MDD and controls, provided an FAA measure involving EEG electrodes F3/F4, and provided data regarding potential covariates. Hedges' d was calculated from FAA means and standard deviations (SDs). Potential covariates, such as age and gender, were explored. Post hoc analysis was performed to elucidate interindividual differences that could explain interstudy discrepancies.Results16 studies were included (MDD: n = 1883, controls: n = 2161). After resolving significant heterogeneity by excluding studies, a non-significant Grand Mean effect size (ES) was obtained (d = − 0.007;CI = [− 0.090]–[0.075]). Crosssectional analyses showed a significant three-way interaction for Gender × Age × Depression severity in the depressed group, which was prospectively replicated in an independent sample.ConclusionsThe main result was a non-significant, negligible ES, demonstrating limited diagnostic value of FAA in MDD. The high degree of heterogeneity across studies indicates covariate influence, as was confirmed by crosssectional analyses, suggesting future studies should address this Gender × Age × Depression severity interaction. Upcoming studies should focus more on prognostic and research domain usages of FAA rather than a pure diagnostic tool.
HighlightsFrontal alpha asymmetry (FAA) is moderately stable over time.Antidepressant response prediction with FAA remains consistent, even after 8 weeks of treatment.FAA is a differential predictor of antidepressant response robust to state and drug effects.
This paper studies whether and how information and communication technology (ICT) changes self-construal and cultural values in a developing country. Ethiopian children were given laptops in the context of an ICT for development scheme. We compared children who used laptops (n = 69) with a control group without laptops (n = 76) and a second control group of children whose laptop had broken down (n = 24). Results confirmed that after 1 year of laptop usage, the children’s self-concept had become more independent and children endorsed individualist values more strongly. Interestingly, the impact of laptop usage on cultural values was mediated by self-construal (moderated mediation). Importantly, modernization did not “crowd out” traditional culture: ICT usage was not associated with a reduction in traditional expressions (interdependent self-construal, collectivist values). Theoretical and practical implications are discussed.
<b><i>Introduction:</i></b> Currently, major depressive disorder (MDD) treatment plans are based on trial-and-error, and remission rates remain low. A strategy to replace trial-and-error and increase remission rates could be treatment stratification. We explored the heartbeat-evoked potential (HEP) as a biomarker for treatment stratification to either antidepressant medication or rTMS treatment. <b><i>Methods:</i></b> Two datasets were analyzed: (1) the International Study to Predict Optimized Treatment in Depression (iSPOT-D; <i>n</i> = 1,008 MDD patients, randomized to escitalopram, sertraline, or venlafaxine, and <i>n</i> = 336 healthy controls) and (2) a multi-site, open-label rTMS study (<i>n</i> = 196). The primary outcome measure was remission. Cardiac field artifacts were removed from the baseline EEG using independent component analysis (ICA). The HEP-peak was detected in a bandwidth of 20 ms around 8 ms and 270 ms (N8, N270) after the R-peak of the electrocardiogram signal. Differences between remitters and non-remitters were statistically assessed by repeated-measures ANOVAs for electrodes Fp1, Cz, and Oz. <b><i>Results:</i></b> In the venlafaxine subgroup, remitters showed a lower HEP around the N8 peak than non-remitters on electrode site Cz (<i>p</i> = 0.004; <i>d</i> = 0.497). The rTMS group showed a non-significant difference in the opposite direction (<i>d</i> = −0.051). Retrospective stratification to one of the treatments based on the HEP resulted in enhanced treatment outcome prediction for venlafaxine (+22.98%) and rTMS (+10.66%). <b><i>Conclusion:</i></b> These data suggest that the HEP could be used as a stratification biomarker between venlafaxine and rTMS; however, future out-of-sample replication is warranted.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.