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Resting-State fMRI in Studies of Acupuncture [PDF]
Evidence-Based Complementary and Alternative Medicine, 2021 Research exploring the mechanism of acupuncture has been a hot topic in medicine. Resting-state functional magnetic resonance imaging (rs-fMRI) research is a noninvasive and extensive method, which is aimed at the research of the mechanism of acupuncture. Researchers use fMRI technologies to inspect the acupuncture process.
Xiaoling Li +6 more
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Connectopic mapping with resting-state fMRI [PDF]
NeuroImage, 2018 Brain regions are often topographically connected: nearby locations within one brain area connect with nearby locations in another area. Mapping these connection topographies, or 'connectopies' in short, is crucial for understanding how information is processed in the brain.
Haak, K.V. +5 more
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The Neuroscientist, 2014 Although brain plasticity is greatest in the first few years of life, the brain continues to be shaped by experience throughout adulthood. Advances in fMRI have enabled us to examine the plasticity of large-scale networks using blood oxygen level-dependent (BOLD) correlations measured at rest.
Guerra-Carrillo, Belén +2 more
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An information-theoretic analysis of resting-state versus task fMRI
Network Neuroscience, 2023 Resting-state fMRI is an increasingly popular alternative to task-based fMRI. However, a formal quantification of the amount of information provided by resting-state fMRI as opposed to active task conditions about neural responses is lacking.
Julia Tuominen +3 more
doaj +1 more source
Compressed Online Dictionary Learning for Fast fMRI Decomposition [PDF]
, 2016 We present a method for fast resting-state fMRI spatial decomposi-tions of very large datasets, based on the reduction of the temporal dimension before applying dictionary learning on concatenated individual records from groups of subjects. Introducing a
Mensch, Arthur +2 more
core +5 more sources
A Resting-State fMRI Study [PDF]
, 2017 Mirror visual feedback (MVF) is a promising approach to enhance motor performance without training in healthy adults as well as in patients with focal brain lesions.
Hoff, Maike +7 more
core +1 more source
Large-scale DCMs for resting-state fMRI [PDF]
Network Neuroscience, 2017 This paper considers the identification of large directed graphs for resting-state brain networks based on biophysical models of distributed neuronal activity, that is, effective connectivity. This identification can be contrasted with functional connectivity methods based on symmetric correlations that are ubiquitous in resting-state functional MRI ...
Adeel Razi +8 more
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Frontiers in Neuroscience, 2023 ObjectiveFunctional magnetic resonance imaging (fMRI) visualizes brain structures at increasingly higher resolution and better signal-to-noise ratio (SNR) as field strength increases.
Silke Kreitz +9 more
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Arousal Contributions to Resting-State fMRI Connectivity and Dynamics
Frontiers in Neuroscience, 2019 Resting-state functional magnetic resonance imaging (rsfMRI) is being widely used for charting brain connectivity and dynamics in healthy and diseased brains. However, the resting state paradigm allows an unconstrained fluctuation of brain arousal, which
Yameng Gu, Feng Han, Xiao Liu, Xiao Liu
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Resting State fMRI-Guided Fiber Clustering [PDF]
, 2011 Fiber clustering is a prerequisite step towards tract-based analysis of white mater integrity via diffusion tensor imaging (DTI) in various clinical neuroscience applications. Many methods reported in the literature used geometric or anatomic information for fiber clustering.
Bao, Ge +6 more
openaire +2 more sources