Results 71 to 80 of about 1,008,388 (323)

Maturation trajectories of cortical resting-state networks depend on the mediating frequency band [PDF]

open access: yesbioRxiv, 2018
The functional significance of resting state networks and their abnormal manifestations in psychiatric disorders are firmly established, as is the importance of the cortical rhythms in mediating these networks. Resting state networks are known to undergo
Sheraz Khan   +16 more
semanticscholar   +1 more source

Reproducibility of functional connectivity and graph measures based on the Phase Lag Index (PLI) and weighted Phase Lag Index (wPLI) derived from high resolution EEG [PDF]

open access: yes, 2014
Functional connectivity (FC) and graph measures provide powerful means to analyze complex networks. The current study determines the inter-subject-variability using the coefficient of variation (CoV) and long-term test-retest-reliability (TRT) using the ...
Florian Hatz   +23 more
core   +1 more source

Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks

open access: yesScientific Reports, 2019
Resting-state networks are spatially distributed, functionally connected brain regions. Studying these networks gives us information about the large-scale functional organization of the brain and alternations in these networks are considered to play a ...
Dóra Szabó   +6 more
doaj   +1 more source

Resting-state “Physiological Networks” [PDF]

open access: yes, 2019
Abstract Slow changes in systemic brain physiology can elicit large fluctuations in fMRI time series, which may manifest as structured spatial patterns of temporal correlations between distant brain regions. These correlations can appear similar to large-scale networks typically attributed to coupled neuronal activity.
Chen, Jingyuan E.   +6 more
openaire   +1 more source

Resting state network estimation in individual subjects [PDF]

open access: yesNeuroImage, 2013
Resting state functional magnetic resonance imaging (fMRI) has been used to study brain networks associated with both normal and pathological cognitive functions. The objective of this work is to reliably compute resting state network (RSN) topography in single participants.
Carl D. Hacker   +6 more
openaire   +3 more sources

Functional cortical hubs in the eyes-closed resting human brain from an electrophysiological perspective using magnetoencephalography. [PDF]

open access: yesPLoS ONE, 2013
It is not clear whether specific brain areas act as hubs in the eyes-closed (EC) resting state, which is an unconstrained state free from any passive or active tasks.
Seung-Hyun Jin   +4 more
doaj   +1 more source

Individual differences in the language task-evoked and resting-state functional networks

open access: yesFrontiers in Human Neuroscience, 2023
The resting state functional network is highly variable across individuals. However, inter-individual differences in functional networks evoked by language tasks and their comparison with resting state are still unclear.
Xin Liu, Liu Yang
doaj   +1 more source

Time-resolved resting-state brain networks [PDF]

open access: yesProceedings of the National Academy of Sciences, 2014
Significance Large-scale organizational properties of brain networks mapped with functional magnetic resonance imaging have been studied in a time-averaged sense. This is an oversimplification. We demonstrate that brain activity between multiple pairs of spatially distributed regions spontaneously fluctuates in and out of correlation ...
Zalesky, A   +4 more
openaire   +5 more sources

Algorithm for the identification of resting state independent networks in fMRI [PDF]

open access: yes, 2017
Studies have shown that the brain is constituted by anatomically segregated and functionally specific regions working in synergy as a complex network. In this context, the brain at rest does not passively retrieve environmental information and respond ...
Donnelly Kehoe, Patricio Andres   +5 more
core   +1 more source

Dynamic Reconfiguration of Functional Topology in Human Brain Networks: From Resting to Task States

open access: yesNeural Plasticity, 2020
Task demands evoke an intrinsic functional network and flexibly engage multiple distributed networks. However, it is unclear how functional topologies dynamically reconfigure during task performance. Here, we selected the resting- and task-state (emotion
Wenhai Zhang   +3 more
doaj   +1 more source

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