| Grant number: | 22/13933-4 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | July 01, 2023 |
| End date: | June 30, 2026 |
| Field of knowledge: | Humanities - Psychology - Physiological Psychology |
| Principal Investigator: | Sabine Pompéia |
| Grantee: | Sareh Panjeh |
| Host Institution: | Escola Paulista de Medicina (EPM). Universidade Federal de São Paulo (UNIFESP). Campus São Paulo. São Paulo , SP, Brazil |
Abstract Slow wave activity (AOL) in the first non-rapid eye movement (NREM) cycle and its decline over a whole nights' sleep are, respectively, regarded as markers of buildup and dissipation of sleep pressure. There is, however, mounting evidence that AOL also differs among individuals beyond their homeostatic pressure. The functional significance of these phenotypic differences is still unknown, as is the associations of AOL and circadian typologies, possibly due to limitations of the traditional analytic approaches in controlling for measurement error (e.g., unreliability in observed measures). Here, we intend to explore changes in AOL within NREM cycles and across the whole sleep period analyzing AOL over consecutive 30 s time window (epochs) using dynamic structural equation modeling (DSEM). Unlike traditional AOL analyses, DSEM is a state-of-the-art analytic framework that models intra- and inter-individual changes over time and allow the parameters of these processes to vary within and between individuals considering random effects. The sample will include 1234 21-60-year-old participants of the Baependi Heart Study Cohort who have already undergone polysomnography and whose AOL per epoch has already been determined. Topographic (electrode channel), age and sex effects will also be explored, as well as the extent to which AOL indexes buildup and dissipation of sleep pressure determined by self-reported feeling in the evenings and mornings (raw scores obtained from the Morningness Eveningness Questionnaire: N=423). This proposal can contribute to the literature by establishing the robustness of DSEM in providing a more precise picture of intra- and inter-individual AOL dynamic changes free of measurement error, which constitutes a novel approach in this field. | |
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