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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
Resting-state fMRI confounds and cleanup [PDF]
NeuroImage, 2013 The goal of resting-state functional magnetic resonance imaging (fMRI) is to investigate the brain's functional connections by using the temporal similarity between blood oxygenation level dependent (BOLD) signals in different regions of the brain "at rest" as an indicator of synchronous neural activity.
Kevin, Murphy +2 more
openaire +2 more sources
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
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
doaj +1 more source
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
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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
doaj +1 more source
medRxiv, 2020 Resting‐state fMRI (rs‐fMRI) detects functional connectivity (FC) abnormalities that occur in the brains of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI).
B. Ibrahim +6 more
semanticscholar +1 more source
Lag structure in resting-state fMRI
Journal of Neurophysiology, 2014 The discovery that spontaneous fluctuations in blood oxygen level-dependent (BOLD) signals contain information about the functional organization of the brain has caused a paradigm shift in neuroimaging. It is now well established that intrinsic brain activity is organized into spatially segregated resting-state networks (RSNs). Less is known regarding
A, Mitra +3 more
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Temporal dynamics in fMRI resting-state activity [PDF]
Proceedings of the National Academy of Sciences, 2015 In a significant new study, Mitra et al. (1) demonstrate the existence of reproducible temporal patterns of spontaneous activity from human functional magnetic resonance imaging (fMRI) recordings. This finding and the novel methods used to demonstrate it bring the question of the role of temporally patterned activity into the domain of human cognition.
Rafael, Yuste, Adrienne L, Fairhall
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Hemodynamic and electrophysiological evidence of resting-state network activity in the primate [PDF]
, 2008 An expanding body of literature describes the existence of concerted brain activations in the absence of any external stimuli. Resting-state networks have been identified and demonstrated to be modulated during the performance of specific cognitive ...
Allen Ardestani +4 more
core +2 more sources