Mental Health Sciences I.
Ms. Szakács Hanna
VA9CD7
HUN-REN-ELTE-PPCU Adolescent Development Research Group
+36309520787
szakacsmiriamhanna@gmail.com
Modeling The Longitudinal Trajectories of Hierarchical Brain Organization
Hanna Szakács1,2, Ferenc Gombos1,3, Morten L. Kringelbach4,5,6, Gustavo Deco7,8,9, Ilona Kovács1,2,10
1: HUN-REN-ELTE-PPCU Adolescent Development Research Group
2: Division of Mental Health Sciences, Doctoral College of Semmelweis University in Medicine and Health Sciences
3: Laboratory for Psychological Research, Pázmány Péter Catholic University
4: Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford
5: Department of Psychiatry, University of Oxford
6: Center for Music in the Brain, Department of Clinical Medicine, Aarhus University
7: Center for Brain and Cognition, Universitat Pompeu Fabra
8: Department of Information and Communication Technologies, Universitat Pompeu Fabra
9: Institució Catalana de la Recerca i Estudis Avançats (ICREA)
10: Institute of Psychology, Faculty of Education and Psychology, Eötvös Loránd University
Szóbeli
Mental Health Sciences I.
English
Mental Health Sciences
Introduction: Brain reorganization and pubertal maturity are closely tied during adolescence, with substantial individual variability in puberty onset that needs to be accounted for. We have previously utilized bone age assessment to gauge maturity levels in adolescents and calculated resting-state EEG-derived entropy production, an index of hierarchical organization across maturity levels (decelerated, average, accelerated). We found that entropy production was highest in the average group. We hypothesize that reduced entropy production in atypical groups might be linked to disrupted development of large-scale cortical networks, suggesting an optimal maturational tempo, and that differences among groups may persist long-term. Aims: To test longitudinal effects, we reassessed the adolescent cohort (aged 11.5–16; T1) as emerging adults (aged 17–20; T2), and compared a simulated normative trajectory to measured data. Methods: To estimate a normative developmental trajectory, a Gompertz growth model was fitted to T1 data points, extrapolated into the T2 age range, and then compared to an independently fitted T2-based Gompertz model. Parameter optimization was performed using a nonlinear least squares algorithm, combined with randomized initial values within restricted intervals to avoid convergence on local minima. Uncertainty was introduced via a Monte Carlo bootstrapping method. Non-overlapping 83% confidence intervals between T1-based predictions and T2-fitted curves were considered to be statistically significant deviations. Results: T1-based projections and T2 measurements deviated significantly, indicating a possible pandemic-related developmental setback in brain hierarchical organization. Conclusion: Our results suggest that the pandemic might have had a hindering effect on brain hierarchical organization. We are in the process of formalizing a correction factor to account for this effect, which will enable us to determine whether the previously reported differences between maturity groups remain long-term. Funding: The project was supported by the National Research, Development and Innovation Office of Hungary (Grant K-134370 to I.K.), by the Hungarian Research Network (HUN-REN-ELTE-PPCU Adolescent Development Research Group), and the PPCU-BTK-KUT-23-1 project funding by the Faculty of Humanities and Social Sciences, Pázmány Péter Catholic University.
Semmelweis University
Prof. Dr. Ilona Kovács
I do not give consent to the publication of my abstract on the website of the congress.
in doctoral studies after complex exam (PhD)
Szabad
elfogadva
szóbeli
nem hagyta jóvá
7989
15:15
15:30