Results 51 to 60 of about 361,308 (287)

Resting state cortical electroencephalographic rhythms in covert hepatic encephalopathy and Alzheimer's disease [PDF]

open access: yes, 2013
Patients suffering from prodromal (i.e., amnestic mild cognitive impairment, aMCI) and overt Alzheimer's disease (AD) show abnormal cortical sources of resting state electroencephalographic (EEG) rhythms.
Nicola Marzano   +50 more
core   +1 more source

Resting state network topology of the ferret brain [PDF]

open access: yesNeuroImage, 2016
Resting state functional magnetic resonance imaging (rsfMRI) has emerged as a versatile tool for non-invasive measurement of functional connectivity patterns in the brain. RsfMRI brain dynamics in rodents, non-human primates, and humans share similar properties; however, little is known about the resting state functional connectivity patterns in the ...
Zhe Charles Zhou   +8 more
openaire   +4 more sources

Moderating effects of music on resting state networks [PDF]

open access: yesBrain Research, 2012
Resting state networks (RSNs) are spontaneous, synchronous, low-frequency oscillations observed in the brains of subjects who are awake but at rest. A particular RSN called the default mode network (DMN) has been shown to exhibit changes associated with neurological disorders such as temporal lobe epilepsy or Alzheimer's disease.
Benjamin P, Kay   +4 more
openaire   +2 more sources

The VWFA: It’s Not Just for Words Anymore

open access: yesFrontiers in Human Neuroscience, 2014
Reading is an important but phylogenetically new skill. While neuroimaging studies have identified brain regions used in reading, it is unclear to what extent these regions become specialized for use predominantly in reading versus other tasks.
Alecia C Vogel   +8 more
doaj   +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

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

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

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 over ...
Zalesky, A   +4 more
openaire   +5 more sources

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

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