Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging

By Michael D. Fox, Marcus E. Raichle. Nature Reviews Neuroscience, 2007

6,741 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/641fbec56ec55c19e724aff4ebf55af864b3c656

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Intrinsic Brain Connectivity in Fibromyalgia is Associated with Chronic Pain Intensity (2010, neutral): “The DMN (9,15) is a constellation of brain regions thought to be engaged in self-referential thinking that are “deactivated” during various externally focused task conditions.”
From the neuron doctrine to neural networks (2015, background): “In fact, organized spontaneous activity appears to be prevalent in many brain regions 40–43 , particularly in humans 44,45 .”
Predicting human resting-state functional connectivity from structural connectivity (2009, background): “It has been suggested that the more persistent functional networks may be involved with ongoing organizational processes in the brain (9, 10), and that disruptions in reliably present correlations are indicative, and potentially diagnostic, of neuropathology (11, 12).”
Generative Models of Cortical Oscillations: Neurobiological Implications of the Kuramoto Model (2010, positive): “2 dynamIcal InStabIlItIeS and SpatIal fruStratIon on cortIcal-lIKe SheetS By combining the spatial coupling discussed in Section 3 with the second-order phase interaction function, it is possible to employ the framework of weakly coupled oscillators to understand spontaneous dynamics on cortical-lik”
A dual-networks architecture of top-down control. (2008, background): “Hence, recent studies have used resting state functional connectivity MRI (rs-fcMRI) to examine functional relationships between sets of regions [16].”
Reliable Intrinsic Connectivity Networks: Test-Retest Evaluation Using ICA and Dual Regression Approach (2009, neutral): “Since Fox et al. (2005) systematically demonstrated the anticorrelation between the “default mode” network and task-positive network, the anti-correlation has been suggested to reflect either a competitive mechanism or segregation of processing between functional systems (Fox et al.”
An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI (2017, methodology): “This involves extracting an averaged time series from all WM voxels, and separately for all CSF voxels.”
Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review (2019, background): “Despite the coherent interpretations provided by these methods, they are highly dependent on prior knowledge, so their application in analysis of rs-fMRI data is limited (Fox and Raichle, 2007).”
Pathophysiology of Migraine: A Disorder of Sensory Processing. (2017, background): “While structural brain imaging identifies differences between grey or white matter and stimulus-driven fMRI locates individual dysfunctional areas, the “resting state” approach assesses the cross-talk between different areas (functional connections) by measuring the correlation of low-frequency spon”
Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks (2019, neutral): “This approach examines synchronized patterns of spontaneous oscillations in blood-oxygen level dependent (BOLD) signal measured at rest with MRI (Biswal et al. 1995) (see Fox and Raichle 2007 for review).”
Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity (2012, neutral): “…state) functional connectivity MRI is a powerful imaging technique that utilizes correlations in spontaneous fluctuations in the blood oxygenation level-dependent (BOLD) signal to assess functional relationships between regions (Biswal et al., 1995; Fox and Raichle, 2007; Van Dijk et al., 2010).”
Neuroplasticity subserving motor skill learning (2011, neutral): “Temporally coherent spontaneous fluctuations at rest have been found between spatially remote brain regions in areas known to be involved in motor, visual, and auditory processing, attention, and language (Cole et al., 2010; Fox and Raichle, 2007).”
Electrophysiological Imaging of Brain Activity and Connectivity – Challenges and Opportunities (2011, background): “Although dipole fitting techniques have been successful in many situations, fMRI and EEG-fMRI studies suggested that spontaneous fluctuations are usually organized as diffused networks [41], [43].”
The Oscillating Brain: Complex and Reliable (2009, background): “Despite the increased appreciation of spontaneous LFO in BOLD fMRI resting state data (Fox and Raichle, 2007), the properties and regional characteristics of spontaneous LFO rarely have been examined directly.”
Advances and Pitfalls in the Analysis and Interpretation of Resting-State FMRI Data (2010, neutral): “…activation, have also proven useful for resting-state research and have greatly supported and contributed to increasing scientifi c interest in the spontaneous, or ‘default’ neural activity of the brain at baseline (Gusnard and Raichle, 2001; Raichle et al., 2001; Fox and Raichle, 2007).”