Results 41 to 50 of about 90,802 (303)
Resting-state functional connectivity differences in premature children [PDF]
Frontiers in Systems Neuroscience, 2010 We examine the coherence in the spontaneous brain activity of sleeping children as measured by the blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) signals. The results are described in terms of resting-state networks (RSN) and their properties.
Eswar Damaraju +7 more
openaire +3 more sources
Searching multiregression dynamic models of resting-state fMRI networks using integer programming [PDF]
, 2015 A Multiregression Dynamic Model (MDM) is a class of multivariate time series that represents various dynamic causal processes in a graphical way. One of the advantages of this class is that, in contrast to many other Dynamic Bayesian Networks, the ...
Smith, Jim +9 more
core +1 more source
Modulation of brain resting-state networks by sad mood induction. [PDF]
PLoS ONE, 2008 BACKGROUND: There is growing interest in the nature of slow variations of the blood oxygen level-dependent (BOLD) signal observed in functional MRI resting-state studies.
Ben J Harrison +5 more
doaj +1 more source
Tracking the Main States of Dynamic Functional Connectivity in Resting State [PDF]
Frontiers in Neuroscience, 2019 Dynamical changes have recently been tracked in functional connectivity (FC) calculated from resting-state functional magnetic resonance imaging (R-fMRI), when a person is conscious but not carrying out a directed task during scanning. Diverse dynamical FC states (dFC) are believed to represent different internal states of the brain, in terms of brain ...
Qunjie Zhou +7 more
openaire +3 more sources
Disease state prediction from resting state functional connectivity [PDF]
Magnetic Resonance in Medicine, 2009 AbstractThe application of multivoxel pattern analysis methods has attracted increasing attention, particularly for brain state prediction and real‐time functional MRI applications. Support vector classification is the most popular of these techniques, owing to reports that it has better prediction accuracy and is less sensitive to noise.
R Cameron, Craddock +3 more
openaire +2 more sources
NeuroImage: Clinical, 2023 Many individuals with spinal cord injury live with debilitating chronic pain that may be neuropathic, nociceptive, or a combination of both in nature.
Jesse L. Kowalski +6 more
doaj +1 more source
NeuroSciBackground: We have previously shown that static and dynamic resting-state functional connectivity differ between migraineurs with and without photophobia, phonophobia, or osmophobia.
Noboru Imai, Asami Moriya, Eiji Kitamura
doaj +1 more source
Disruption of brain connectivity in acute stroke patients with early impairment in consciousness
Frontiers in Psychology, 2014 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
doaj +1 more source
Outcome prediction with resting-state functional connectivity after cardiac arrest. [PDF]
, 2020 Predicting outcome in comatose patients after successful cardiopulmonary resuscitation is challenging. Our primary aim was to assess the potential contribution of resting-state-functional magnetic resonance imaging (RS-fMRI) in predicting neurological ...
Wagner, Franca +5 more
core +1 more source
Age-Dependent Modulations of Resting State Connectivity Following Motor Practice
Frontiers in Aging Neuroscience, 2018 Recent work in young adults has demonstrated that motor learning can modulate resting state functional connectivity. However, evidence for older adults is scarce.
Elena Solesio-Jofre +10 more
doaj +1 more source