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Cognitive brain lateralization through neurovascular coupling in healthy subjects: A statistical complexity analysis
Héctor Rojas-Pescio1, Lucy Beishon2,3, Ronney B Panerai2,3
1Departamento de Ingeniería Informática, Universidad de Santiago de Chile, Santiago, Chile.
Physiological Reports
|August 7, 2025
Summary
Statistical complexity measures (SCM) effectively detect brain lateralization during cognitive tasks by analyzing neurovascular coupling (NVC). SCM revealed distinct complexity patterns linked to hemisphere dominance and cognitive stimulation.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Information Theory
Background:
- Human brain function exhibits lateralization, with asymmetric cerebral hemisphere activation observable via neurovascular coupling (NVC).
- Brain lateralization enhances cognitive capacity by enabling simultaneous distinct functions.
- Understanding these lateralization mechanisms is crucial for cognitive neuroscience and clinical applications.
Purpose of the Study:
- To investigate cognitive lateralization using NVC responses during the Addenbrooke's Cognitive Examination-III (ACE-III).
- To evaluate the efficacy of dispersion entropy (DE) and statistical complexity measures (SCM) in identifying hemispheric differences in NVC signals.
- To explore how cognitive stimulation impacts NVC complexity patterns and lateralization.
Main Methods:
- Applied dispersion entropy (DE) and statistical complexity measures (SCM) to cerebral blood velocity (CBv), critical closing pressure (CrCP), and resistance area-product (RAP) signals.
- Utilized the Addenbrooke's Cognitive Examination-III (ACE-III) to stimulate cognitive functions including attention, fluency, language, memory, and visuospatial tasks.
- Performed statistical analysis to compare hemispheric differences in NVC complexity during cognitive tasks versus baseline.
Main Results:
- Statistical complexity measures (SCM) effectively detected significant hemispheric lateralization (best p-value = 0.001).
- Dispersion entropy (DE) alone did not differentiate hemisphere activity.
- Cognitive stimulation generally resulted in lower SCM values compared to baseline, particularly in the dominant hemisphere.
Conclusions:
- Neurovascular coupling (NVC) exhibits distinct complexity patterns related to hemisphere dominance and cognitive domain.
- Advanced information theory methods like DE and SCM provide valuable insights into cerebral lateralization mechanisms.
- These findings enhance our understanding of NVC responses during cognitive stimulation and lateralization.
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