Results 21 to 30 of about 270,788 (377)
Resting-state fMRI studies in epilepsy [PDF]
Epilepsy is a disease characterized by abnormal spontaneous activity in the brain. Resting-state functional magnetic resonance imaging (RS-fMRI) is a powerful technique for exploring this activity. With good spatial and temporal resolution, RS-fMRI is a promising approach for accurate localization of the focus of seizure activity. Although simultaneous
, Wurina, Yu-Feng, Zang, Shi-Gang, Zhao
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Phenotyping Superagers Using Resting-State fMRI
Superagers are defined as older adults with episodic memory performance similar or superior to that in middle-aged adults. This study aimed to investigate the key differences in discriminative networks and their main nodes between superagers and cognitively average elderly controls.
de Godoy, L.L. +15 more
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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]
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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Resting-state fMRI signals contain spectral signatures of local hemodynamic response timing
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]
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
doaj +1 more source
A Deep Learning Approach to Predict Autism Spectrum Disorder Using Multisite Resting-State fMRI
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]
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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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
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

