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Prepulse Inhibition and Prestimulus Non-linear Brain Dynamics in Childhood: a Lyapunov Exponents approach

  • Anastasios Giannopoulos
  • , Ioanna Zioga
  • , Vaios Ziogas
  • , Panos Papageorgiou
  • , Georgios Papageorgiou
  • , Charalabos Papageorgiou

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)

Abstract

The acoustic startle reflex (ASR) relies on the sensorimotor system and is affected by aging, sex, and psychopathology. ASR can be modulated by the prepulse inhibition (PPI) paradigm, which achieves the inhibition of reactivity to a startling stimulus (pulse) following a weak prepulse stimulus. Additionally, neurophysiological studies have found that brain activity is characterized by irregular patterns with high complexity, which however reduces with age. Our study investigated the relationship between pre-startle nonlinear dynamics and prepulse inhibition in healthy children vs. adults. Fifty-six individuals took part in the experiment: 31 children and adolescents and 25 adults. Participants heard 51 pairs of tones (prepulse, startle) with a time difference of 30 to 500 ms. Subsequently, we assessed neural complexity by computing the largest Lyapunov exponent (LLE) during the pre-startle period and assessed PPI by analyzing the post-startle event-related potentials (ERPs). Results showed higher neural complexity for children compared to adults, in line with previous research showing reduced complexity in the physiological signals in ageing. As expected, PPI (as reflected in the P50 and P200 components) was enhanced in adults compared to children, potentially due to the maturation of the ASR for the former. Interestingly, pre-startle complexity was correlated with the P50 component in children only, but not in adults, potentially due to the different stage of sensorimotor maturation between age groups. Overall, our study offers novel contributions for investigating brain dynamics, linking nonlinear with linear measures. Our findings are consistent with the loss of neural complexity in ageing, and suggest differentiated links between nonlinear and linear metrics in children and adults.
Original languageEnglish
Number of pages15
JournalIEEE Transactions on Cognitive and Developmental Systems
Early online date26 Jun 2024
DOIs
Publication statusE-pub ahead of print - 26 Jun 2024

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