Results 21 to 30 of about 271,169 (372)
Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training
NeuroImage, 2021 Neurofeedback (NF) aptitude, which refers to an individual's ability to change brain activity through NF training, has been reported to vary significantly from person to person.
Takashi Nakano +11 more
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Science Advances, 2023 Model-based data analysis of whole-brain dynamics links the observed data to model parameters in a network of neural masses. Recently, studies focused on the role of regional variance of model parameters.
Viktor Sip +5 more
semanticscholar +1 more source
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
openaire +2 more sources
Resting-state fMRI signals contain spectral signatures of local hemodynamic response timing
eLife, 2023 Functional magnetic resonance imaging (fMRI) has proven to be a powerful tool for noninvasively measuring human brain activity; yet, thus far, fMRI has been relatively limited in its temporal resolution.
Sydney M Bailes +3 more
doaj +1 more source
FMRI resting slow fluctuations correlate with the activity of fast cortico-cortical physiological connections. [PDF]
PLoS ONE, 2012 Recording of slow spontaneous fluctuations at rest using functional magnetic resonance imaging (fMRI) allows distinct long-range cortical networks to be identified.
Giacomo Koch +5 more
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A Deep Learning Approach to Predict Autism Spectrum Disorder Using Multisite Resting-State fMRI
Applied Sciences, 2021 Autism spectrum disorder (ASD) is a complex and degenerative neuro-developmental disorder. Most of the existing methods utilize functional magnetic resonance imaging (fMRI) to detect ASD with a very limited dataset which provides high accuracy but ...
Faria Zarin Subah +3 more
semanticscholar +1 more source
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
openaire +6 more sources
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
openaire +5 more sources
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
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How to Interpret Resting-State fMRI: Ask Your Participants
Journal of Neuroscience, 2021 Resting-state fMRI (rsfMRI) reveals brain dynamics in a task-unconstrained environment as subjects let their minds wander freely. Consequently, resting subjects navigate a rich space of cognitive and perceptual states (i.e., ongoing experience). How this
J. Gonzalez-Castillo +3 more
semanticscholar +1 more source