Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis
By Peter Fransson. Human Brain Mapping, 2005
1,422 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Psychiatry and Mental health
View Paper: https://www.semanticscholar.org/paper/7122f51070a02f26b1ade7fefa93b3d843b918fb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Olaf Sporns
- Randy L. Buckner
- Vinod Menon
- Xi-Nian Zuo
- Yong He
- Michael P. Milham
- F. X. Castellanos
- E. Bullmore
In Experimental and Cognitive Psychology
- Vinod Menon
- Daniel L. Schacter
- Marcus E. Raichle
- Lucina Q. Uddin
- Jessica R. Andrews-Hanna
- Yong He
- J. Smallwood
- Jonathan W. Schooler
In Psychiatry and Mental health
- Randy L. Buckner
- Marcus E. Raichle
- F. X. Castellanos
- Abraham Z. Snyder
- Bharat B. Biswal
- Dinggang Shen
- Denise Head
- Jessica R. Andrews-Hanna
Citations in the corpus
- Advances and Pitfalls in the Analysis and Interpretation of Resting-State FMRI Data (2010, positive): “…referred to, for example, as task-positive and task-negative networks, in both the presence and absence of overt cognitive stimulation, have proposed that this coupling may be functionally relevant (Fox et al., 2005; Fransson, 2005; Castellanos et al., 2008; Kelly et al., 2008; Zuo et al., 2010b).”
- Competition between functional brain networks mediates behavioral variability (2008, background): “Thus, the task-positive network corresponds to those voxels significantly negatively correlated with the mean default mode network timeseries (Fransson, 2005).”
- Functional Brain Networks Develop from a “Local to Distributed” Organization (2009, background): “Resting-state fcMRI analyses have repeatedly shown that these regions, along with associated medial temporal regions, are correlated at rest in adults [15,16,32,40].”
- Neurodegenerative diseases target large-scale human brain networks (2009, background): “, 2005) and became known for its task-related deactivations across fMRI studies (Fox et al., 2005; Fransson, 2005; Greicius et al., 2003).”
- Resting-state FMRI confounds and cleanup (2013, positive): “Many studies have tried to determine whether these anticorrelations are a true reflection of functional connectivity or an artefact of the GSReg technique (Anderson et al., 2011; Chai et al., 2012; Chang and Glover, 2009a; Fox et al., 2009; Fransson, 2005).”
- Age Differences in Deactivation: A Link to Cognitive Control? (2007, background): “…relatively passive conditions) in the regions composing this network are tightly correlated, and are anticorrelated with frontal (and other) regions typically involved in active task processing (Fox et al., 2005; Fransson, 2005; Greicius, Krasnow, Reiss, & Menon, 2003; Raichle et al., 2001).”
- Effects of model-based physiological noise correction on default mode network anti-correlations and correlations (2009, positive): “The existence of negative correlations between these task-positive regions and the DMN may support existing theories that resting-state brain signals, on the level of large-scale networks, reflect shifts in state between an introspective, self-reflective mode and an outwardly-oriented, attentive mod”
- Altered functional connectivity in early Alzheimer's disease: A resting‐state fMRI study (2007, methodology): “, 2005] or anti-correlated with PCU/PCC [Fransson, 2005].”
- The Brain's Default Network (2008, methodology): “While still poorly understood, there appears to be dynamic competition between the default network and brain systems supporting focused external attention (Fransson 2005, Fox et al. 2005, Golland et al. 2007, Tian et al. 2007, see also Williamson 2007).”
- Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations (2013, background): “…experiments demonstrates that the brain at rest displays spatial patterns of correlated activity across different brain areas known as resting-state networks (RSNs) (Biswal et al., 1995; Greicius et al., 2003; Fox et al., 2005; Fox and Raichle, 2007; Fransson, 2005; Deco and Corbetta, 2011).”
- EEG-vigilance and BOLD effect during simultaneous EEG/fMRI measurement (2009, neutral): “…e.g. independent component analysis (ICA) showed that some brain areas, including the cingulate cortex, parietal cortices and frontal cortex reveal coherent BOLD signal fluctuations under resting condition (De Luca et al., 2006; Fransson, 2005, 2006; Greicius et al., 2003; Van de Ven et al., 2004).”
- Breakdown of within- and between-network Resting State Functional Magnetic Resonance Imaging Connectivity during Propofol-induced Loss of Consciousness (2010, methodology): “the signal extracted from one ROI per network, as commonly performed in previous studies.(38,41) These seed-voxel”
- Emerging concepts for the dynamical organization of resting-state activity in the brain (2010, positive): “…suggested that this collection of regions subserves cognitive operations that are self-referential, a suggestion based on the observation that DMN regions overlap with regions that show activation in studies of self-referential behaviours 6,7 , such as autobiographic memory and self-judgments 8,9 .”
- Disruption of large-scale brain systems in advanced aging. (2007, methodology): “These two regions were selected for analysis because they represent two major components of the default network (Greicius et al., 2003; Shulman et al., 1997; Raichle et al., 2001; Fransson, 2005) and are presumed to interact through long-range white matter pathways.”
- Ongoing Cortical Activity at Rest: Criticality, Multistability, and Ghost Attractors (2012, background): “…brain activity during rest is highly structured into characteristic spatiotemporal patterns, the socalled resting-state networks (RSNs) (Biswal et al., 1995; Greicius et al., 2003; Fox et al., 2005, 2007; Fransson, 2005; Raichle and Mintun, 2006; Rogers et al., 2007; Vincent et al., 2007).”