Development of a Culture-Common Formal Characteristics of Behavior - Temperament Markers Inventory (FCB-TMI-CC).

The goal was to create a brief temperament inventory grounded in the Regulative Theory of Temperament (FCB-TMI-CC), with a user-friendly, online applicability for studies in different cultures. As the regulative role of temperament is strongly revealed under meaningful stress, the study was planned within the time of the COVID-19 pandemic. To ensure high diversity in terms of culture, economic and environmental conditions, data from nine countries (Poland, United States of America, Italy, Japan, Argentina, South Korea, Ireland, United Kingdom and Kazakhstan) were utilized (min. N = 200 per country). Validation data were gathered on the level of COVID-19 stressors, posttraumatic stress disorder (PTSD), depression, anxiety and stress symptoms, and Big Five personality traits. Multigroup confirmatory factor analysis served as the basis for the inventory's construction. The final culture-common version includes 37 items (5-6 in each of the 7 scales) and covers the core aspects of temperament dimensions. Temperament structure was confirmed to be equivalent across measured cultures. The measurement is invariant at the level of factor loadings and the reliability (internal consistency) and theoretical validity of the scales were at least acceptable. Therefore, the FCB-TMI-CC may serve as a valuable tool for studying temperament across diverse cultures and facilitate cross-cultural comparisons.

Amygdala resting-state functional connectivity alterations in patients with chronic insomnia disorder: correlation with electroencephalography beta power during sleep.

STUDY OBJECTIVES: This study investigated alterations in resting-state functional connectivity (RSFC) and hyperarousal biomarkers in patients with chronic insomnia disorder (CID), compared with good sleepers (GS). We also examined the relationships between altered RSFC and hyperarousal biomarkers. METHODS: Fifty patients with CID and 52 GS completed self-reporting questionnaires, and then underwent polysomnography and resting-state functional magnetic resonance imaging. We analyzed RSFC in the amygdala (AMG) and anterior insula (aINS), which are core regions of the salience network that are likely to be involved in hyperarousal. We also analyzed electroencephalography (EEG) relative beta power and heart rate variability (HRV) parameters (e.g. low and high frequency) during sleep. We then tested between-group differences in the RSFC and hyperarousal biomarkers; we examined correlations of RSFC with EEG beta power and HRV. RESULTS: Compared with GS, patients with CID showed more negative RSFC between the right amygdala (R.AMG) and left supramarginal gyrus (L.SMG), but less positive RSFC between the left aINS and bilateral lateral prefrontal cortex. The R.AMG-L.SMG RSFC was negatively correlated with EEG beta power in central regions (C3: r = -0.336, p = 0.012; C4: r = -0.314, p = 0.024). CONCLUSIONS: Decreased RSFC between the R.AMG and L.SMG in patients with insomnia may reflect the difficulty in cortical top-down regulation of the AMG, indicating daytime hyperarousal. Individuals who experience hyperarousal during the daytime may also exhibit cortical hyperarousal during sleep, as indicated by increased EEG beta power.