Results 1 to 10 of about 111,880 (318)

DPARSF: a MATLAB toolbox for pipeline data analysis of resting-state fMRI [PDF]

open access: goldFrontiers in Systems Neuroscience, 2010
Resting-state functional magnetic resonance imaging (fMRI) has attracted more and more attention because of its effectiveness, simplicity and non-invasiveness in exploration of the intrinsic functional architecture of the human brain.
Chaogan Yan, Yufeng Zang
doaj   +2 more sources

Resting states are resting traits--an FMRI study of sex differences and menstrual cycle effects in resting state cognitive control networks. [PDF]

open access: yesPLoS ONE, 2014
To what degree resting state fMRI is stable or susceptible to internal mind states of the individual is currently an issue of debate. To address this issue, the present study focuses on sex differences and investigates whether resting state fMRI is ...
Helene Hjelmervik   +4 more
doaj   +1 more source

Resting-state fMRI signals contain spectral signatures of local hemodynamic response timing

open access: yeseLife, 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]

open access: yesPLoS 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
doaj   +1 more source

An information-theoretic analysis of resting-state versus task fMRI

open access: yesNetwork 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

Arousal Contributions to Resting-State fMRI Connectivity and Dynamics

open access: yesFrontiers 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
doaj   +1 more source

3T vs. 7T fMRI: capturing early human memory consolidation after motor task utilizing the observed higher functional specificity of 7T

open access: yesFrontiers 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
doaj   +1 more source

Resting state network connectivity is attenuated by fMRI acoustic noise

open access: yesNeuroImage, 2022
Introduction: During the past decades there has been an increasing interest in tracking brain network fluctuations in health and disease by means of resting state functional magnetic resonance imaging (rs-fMRI). Rs-fMRI however does not provide the ideal
Giovanni Pellegrino   +5 more
doaj  

Altered regional homogeneity in pediatric bipolar disorder during manic state: a resting-state fMRI study. [PDF]

open access: yesPLoS ONE, 2013
UNLABELLED: Pediatric bipolar disorder (PBD) is a severely debilitating illness, which is characterized by episodes of mania and depression separated by periods of remission. Previous fMRI studies investigating PBD were mainly task-related.
Qian Xiao   +6 more
doaj   +1 more source

Covariance and Correlation Analysis of Resting State Functional Magnetic Resonance Imaging Data Acquired in a Clinical Trial of Mindfulness-Based Stress Reduction and Exercise in Older Individuals

open access: yesFrontiers in Neuroscience, 2022
We describe and apply novel methodology for whole-brain analysis of resting state fMRI functional connectivity data, combining conventional multi-channel Pearson correlation with covariance analysis.
Abraham Z. Snyder   +17 more
doaj   +1 more source

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