Results 51 to 60 of about 1,008,388 (323)
Automatic selection of resting-state networks with functional magnetic resonance imaging
Frontiers in Neuroscience, 2013 Functional magnetic resonance imaging (fMRI) during a resting-state condition can reveal the co-activation of specific brain regions in distributed networks, called resting-state networks, which are selected by independent component analysis (ICA) of the
Silvia Francesca eStorti +8 more
doaj +1 more source
Abnormal directed connectivity of resting state networks in focal epilepsy
NeuroImage: Clinical, 2020 Highlights • Abnormal brain network is visible in absence of epileptic activity on hd-EEG.• Higher efficiency in patients vs. controls in absence of epileptic activity on hd-EEG.• Resting state networks are altered in epileptic patients.
M. Carboni +12 more
semanticscholar +1 more source
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
Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder
Frontiers in Psychiatry, 2021 Schizophrenia (SCH) and bipolar disorder (BD) are characterized by many types of symptoms, damaged cognitive function, and abnormal brain connections. The microstates are considered to be the cornerstones of the mental states shown in EEG data.
Fanglan Wang +2 more
doaj +1 more source
Large-scale intrinsic connectivity is consistent across varying task demands.
PLoS ONE, 2019 Measuring whole-brain functional connectivity patterns based on task-free ('resting-state') spontaneous fluctuations in the functional MRI (fMRI) signal is a standard approach to probing habitual brain states, independent of task-specific context.
Paulina Kieliba +4 more
doaj +1 more source
Frontiers in Psychiatry, 2020 BackgroundNumerous studies have confirmed that long-term shift work is not only associated with increased health problems and acute impact on safety but also with impaired cognitive abilities.
Yanzhe Ning +6 more
doaj +1 more source
The Resting-State Neural Network of Delay Discounting
Frontiers in Psychology, 2022 Delay discounting is a common phenomenon in daily life, which refers to the subjective value of a future reward decreasing as a function of time. Previous studies have identified several cortical regions involved in delay discounting, but the neural network constructed by the cortical regions of delay discounting is less clear.
Fan Yang, Xueting Li, Ping Hu
openaire +3 more sources
Eyes-Open and Eyes-Closed Resting State Network Connectivity Differences
Brain Sciences, 2023 Resting state networks comprise several brain regions that exhibit complex patterns of interaction. Switching from eyes closed (EC) to eyes open (EO) during the resting state modifies these patterns of connectivity, but precisely how these change remains
Junrong Han +8 more
doaj +1 more source
Frontiers in Computational Neuroscience, 2022 Although many resting state and task state characteristics have been studied, it is still unclear how the brain network switches from the resting state during tasks.
Jie Xiang +8 more
doaj +1 more source
NeuroImage: Clinical, 2020 Highlights • Over time, Parkinson’s disease (PD) patients declined on multiple cognitive domains.• Executive dysfunction was related to interactions between specific resting-state networks.• These interactions involved deep grey matter, frontoparietal ...
L. Boon +7 more
semanticscholar +1 more source