Results 31 to 40 of about 10,073,117 (279)
Functional Connectivity Hubs and Networks in the Awake Marmoset Brain
In combination with advances in analytical methods, resting-state fMRI is allowing unprecedented access to achieve a better understanding of the network organization of the brain. Increasing evidence suggests that this architecture may incorporate highly
Annabelle Marie Belcher +10 more
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Similarities and differences between intermittent and continuous resting-state fMRI
IntroductionFunctional Magnetic Resonance Imaging (fMRI) block-design experiments typically include active ON-blocks with presentation of cognitive tasks which are contrasted with OFF- blocks with no tasks presented.
Justyna Beresniewicz +11 more
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How the stomach and the brain work together at rest [PDF]
Low-frequency electrical waves in the stomach seem to be synchronised with the activity of a newly discovered resting-state network in the human ...
Aglioti, Salvatore Maria +2 more
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Test–Retest Reliability of Synchrony and Metastability in Resting State fMRI
In recent years, interest has been growing in dynamic characteristic of brain signals from resting-state functional magnetic resonance imaging (rs-fMRI). Synchrony and metastability, as neurodynamic indexes, are considered as one of methods for analyzing
Lan Yang +6 more
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Rest-related dynamics of risk and protective factors for depression: a behavioral study [PDF]
Resting state provides an important condition to study depressogenic cognition because neuropsychological studies have indicated that rest is associated with heightened self-related processing.
De Raedt, Rudi +2 more
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Background: Altered resting-state functional connectivity has been found in patients with post-traumatic stress disorder (PTSD). However, the alteration of resting-state functional connectivity at whole-brain level in typhoon-traumatized individuals with
Hui Juan Chen +8 more
doaj +1 more source
EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies
A significant proportion of the electroencephalography (EEG) literature focuses on differences in historically pre-defined frequency bands in the power spectrum that are typically referred to as alpha, beta, gamma, theta and delta waves.
J. Newson, T. Thiagarajan
semanticscholar +1 more source
Machine Learning for Neuroimaging with Scikit-Learn [PDF]
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series.
Abraham, Alexandre +8 more
core +4 more sources
Disruption of brain connectivity in acute stroke patients with early impairment in consciousness
Impairment in consciousness is common in acute stroke patients and is correlated with the clinical outcome after stroke. The underlying mechanism is not completely understood, with little known about brain activity and connectivity changes in acute ...
Yuan-Hsiung eTsai +6 more
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Transcutaneous auricular vagus nerve stimulation (taVNS), a non-invasive alternative to vagus nerve stimulation (VNS) with implantable devices, has shown promise in treating disorders such as depression, migraine, and insomnia. Studies of these disorders
Yixiang Mao +10 more
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