Comput Math Methods Med - Fundamental dynamical modes underlying human brain synchronization.

Tópicos

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Resumo

Little is known about the long-term dynamics of widely interacting cortical and subcortical networks during the wake-sleep cycle. Using large-scale intracranial recordings of epileptic patients during seizure-free periods, we investigated local- and long-range synchronization between multiple brain regions over several days. For such high-dimensional data, summary information is required for understanding and modelling the underlying dynamics. Here, we suggest that a compact yet useful representation is given by a state space based on the first principal components. Using this representation, we report, with a remarkable similarity across the patients with different locations of electrode placement, that the seemingly complex patterns of brain synchrony during the wake-sleep cycle can be represented by a small number of characteristic dynamic modes. In this space, transitions between behavioral states occur through specific trajectories from one mode to another. These findings suggest that, at a coarse level of temporal resolution, the different brain states are correlated with several dominant synchrony patterns which are successively activated across wake-sleep states.

Resumo Limpo

littl known longterm dynam wide interact cortic subcort network wakesleep cycl use largescal intracrani record epilept patient seizurefre period investig local longrang synchron multipl brain region sever day highdimension data summari inform requir understand model under dynam suggest compact yet use represent given state space base first princip compon use represent report remark similar across patient differ locat electrod placement seem complex pattern brain synchroni wakesleep cycl can repres small number characterist dynam mode space transit behavior state occur specif trajectori one mode anoth find suggest coars level tempor resolut differ brain state correl sever domin synchroni pattern success activ across wakesleep state

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