Results 101 to 110 of about 116,293 (248)
Improving Reliability of Subject-Level Resting-State fMRI Parcellation with Shrinkage Estimators [PDF]
, 2015 A recent interest in resting state functional magnetic resonance imaging (rsfMRI) lies in subdividing the human brain into anatomically and functionally distinct regions of interest.
Caffo, Brian +7 more
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Construction of embedded fMRI resting state functional connectivity networks using manifold learning
, 2020 We construct embedded functional connectivity networks (FCN) from benchmark resting-state functional magnetic resonance imaging (rsfMRI) data acquired from patients with schizophrenia and healthy controls based on linear and nonlinear manifold learning ...
Galaris, Evangelos +2 more
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PLoS ONE, 2018 Functional magnetic resonance imaging (fMRI) is an important tool for pre-surgical evaluation of eloquent cortex. Classic task-based paradigms require patient participation and individual imaging sequence acquisitions for each functional domain that is ...
Eric C Leuthardt +14 more
doaj +1 more source
Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data [PDF]
, 2015 Dynamic functional connectivity (FC) has in recent years become a topic of interest in the neuroimaging community. Several models and methods exist for both functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), and the results ...
Madsen, Kristoffer H. +4 more
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Frontiers in Human Neuroscience, 2016 Hierarchical clustering is a useful data-driven approach to classify complex data and has been used to analyze resting-state functional magnetic resonance imaging (fMRI) data and derive functional networks of the human brain at very large scale, such as ...
Yanlu eWang +3 more
doaj +1 more source
The Neuroradiology Journal, 2017 The inquisitiveness about what happens in the brain has been there since the beginning of humankind. Functional magnetic resonance imaging is a prominent tool which helps in the non-invasive examination, localisation as well as lateralisation of brain functions such as language, memory, etc.
Chandrasekharan Kesavadas +6 more
openaire +3 more sources
Resting-state functional connectivity of orthographic networks in acquired dysgraphia
Frontiers in Psychology, 2015 Introduction. While task-based fMRI has been used extensively to study the functional neural networks that instantiate cognitive functions, there is increasing interest in analyzing the activity of the brain while it is not performing a task – in the ...
Gali Ellenblum
doaj +1 more source
A NIRS–fMRI study of resting state network
NeuroImage, 2012 Resting state functional connectivity, which is defined as temporal correlation of spontaneous activity between diverse brain regions, has been reported to form resting state networks (RSNs), consisting of a specific set of brain regions, based on functional magnetic resonance imaging (fMRI).
Fumitaka Homae +7 more
openaire +2 more sources
Mind over chatter: plastic up-regulation of the fMRI alertness network by EEG neurofeedback [PDF]
, 2012 EEG neurofeedback (NFB) is a brain-computer interface (BCI) approach used to shape brain oscillations by means of real-time feedback from the electroencephalogram (EEG), which is known to reflect neural activity across cortical networks.
Jean Theberge +6 more
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Topographic Electrophysiological Signatures of fMRI Resting State Networks
PLoS ONE, 2010 fMRI Resting State Networks (RSNs) have gained importance in the present fMRI literature. Although their functional role is unquestioned and their physiological origin is nowadays widely accepted, little is known about their relationship to neuronal activity. The combined recording of EEG and fMRI allows the temporal correlation between fluctuations of
Jann, Kay +4 more
openaire +6 more sources