Tracking dynamics of functional brain networks using dense EEG

International audienceCognition is formed from networks between functionally specific but distributed brain regions. A very challenging issue in cognition is how to precisely track brain networks at very short temporal scales (often very short <1s). So far, very few studies have addressed this problem as it requires high temporal and spatial resolution simultaneously. Due to its excellent temporal resolution, Electroencephalography (EEG) is a key neuroimaging technique to access real-time information flow among large scale neuronal networks. Here, we propose a new method based on EEG source connectivity to map large-scale networks at high temporal (in the order of ms) and spatial (~1000 regions of interest) resolution. We show clear evidence of the ability of EEG source connectivity to track brain networks with high time/space resolutions during picture naming task. Our results reveal that the cognitive process can be decomposed into a sequence of transiently-stable and partially-overlapping networks. Our qualitative and quantitative observations show that the identified brain networks are in accordance with results reported in the literature regarding involved brain areas during the analyzed task

Quantificação de Ácido Indolacético (AIA) em acículas de Araucaria angustifolia.

Resumo

Produção de mudas de espécies lenhosas.

Planejamento das instalações para produção de mudas; Técnicas de produção de mudas.bitstream/CNPF-2009-09/43217/1/doc130.pd

Substratos para enraizamento de estacas de Cryptomeria japonica Don.

Resumo

Propagação vegetativa de E. benthamii x E. dunnii por miniestaquia.

bitstream/item/40278/1/Doc183.pd

Enraizamento de estacas de Araucaria angustifolia.

Resumo

Sazonalidade na produtividade e sobrevivência de minicepas de Eucalyptus benthamii x Eucalyptus dunnii.

Resumo

Produção de mudas de corticeira-do-mato por miniestaquia a partir de propágulos juvenis.

bitstream/CNPF-2009-09/43377/1/com_tec130.pd