Mental arithmetics: Transition Dynamics

Transition Dynamics of EEG-based Network Microstates during mental arithmetic and resting wakefulness reflects task-related modulations and developmental changes

• We explored how maturation influences the organization of functional brain networks engaged during mental calculations and in resting state.
• Dynamic graphs of phase synchrony were characterized in terms of network organization, for the known brain rhythms.
• Functional segregation tendency is dominant in younger brains.
• Small-world network characteristics (SWN) are more prominent in childhood, in accordance to the Neural Efficiency Hypothesis (NEH).
• By introducing the concept of ''network-level microstates'’, we revealed that transition rates can serve as a reliable biomarker of developmental and task-induced alterations.

For more information see:
Dimitriadis S., Laskaris N. et al., "Transition dynamics of EEG-based network microstates during mental arithmetic and resting wakefulness reflects task-related modulations and developmental changes", Cognitive Neurodynamics, 2015

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