Российская академия наук


features activation of central and peripheral parts



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features activation of central and peripheral parts

of the visual neural network according to FMRI

Verkhlyutov V.M.1, Socolov P.A.1, Ushakov V.L.2

1Institute of Higher Nervous Activity and Neurophysiology RAS, Moscow, Russia;

2NRC "Kurchatov Institute", Moscow, Russia;
For the fMRI data obtained during the presentation and recall of content online (Ushakov V.L. et al., 2013), using independent component analysis (ICA). Five of the ten components of the combined activity of 89% of voxels coinciding with cortical surface of the brain. Two components reflect the activity of the visual cortex 17,18,19 fields. The spatial distribution of the components corresponds to the central and peripheral parts of the cortical retinotopic projection to point stimuli (Tootell R.B.N. et al., 1998). Upon presentation clips central and peripheral components were activated simultaneously. Recollection of the plot causes the activation of the peripheral units, and reduced activity below the baseline of the central part of the visual cortex. Another identified our network localization coincided with the default mode network (DMN), which is one of the resting state neural networks (RSN). It was activated in the intervals between stimuli, and when viewing the video, its activity was approaching baseline. Recollection of the plot leads to the activation of the posterior portion and deactivation of the front part DMN. This effect can be attributed to the activation of parahippocampal gyrus when retrieving memory traces and simultaneous activation of the peripheral part of the visual cortex. In this case, active braking central retinotopic projection. A large number of studies have shown that the deactivation of the visual cortex is accompanied by an increase in the amplitude of alpha - rhythm (Feige B. et al., 2005), suggesting that the inhibitory function of this rhythm. Previously established a link spontaneous EEG and RSN (Jann K. et al., 2011). Thus, we have identified large-scale neural networks to regulate the activity of large areas of the cortex in a state of active and passive wakefulness. Signs of this regulation can be identified not only with fMRI but also with the use of the EEG when we find an adequate interpretation relating these methods

ИЗМЕНЕНИЯ СИМПАТИЧЕСКОЙ АКТИВНОСТИ, АДРЕСОВАННОЙ СОСУДАМ МЫШЦ, И ЦЕНТРАЛЬНОЙ ГЕМОДИНАМИКИ ПРИ ИЗОМЕТРИЧЕСКИХ РИТМИЧЕСКИХ СОКРАЩЕНИЯХ РАЗЛИЧНЫХ МЫШЦ В ЗАВИСИМОСТИ ОТ ХАРАКТЕРА ВЫПОЛНЯЕМОЙ РАБОТЫ


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