The human brain is intrinsically organized into dynamic, anticorrelated functional networks.

By Michael D. Fox, Abraham Z. Snyder, Justin L. Vincent, Maurizio Corbetta, D. V. Van Essen, Marcus E. Raichle. Proceedings of the National Academy of Sciences of the United States of America, 2005

8,429 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/8c28caad5c4286e4cde8a73703ad5bc00c199d84

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Citations in the corpus

Breakdown of within- and between-network Resting State Functional Magnetic Resonance Imaging Connectivity during Propofol-induced Loss of Consciousness (2010, neutral): “tions were investigated after removal of spurious physiologic noise.(36) For connectivity studies of default network, execu-”
How is our self related to midline regions and the default-mode network? (2011, neutral): “, TPJ) that are functionally connected with each other during resting state conditions (Fox et al., 2005).”
Investigating the Functional Heterogeneity of the Default Mode Network Using Coordinate-Based Meta-Analytic Modeling (2009, neutral): “, 2009), which includes regions that have previously been identified as being anti-correlated with the DMN (Fox et al., 2005; Fransson, 2005; Uddin et al., 2009).”
Functional network organization of the human brain (2011, neutral): “The ‘‘Task-Positive System’’ Is Composed of Multiple Subgraphs Whereas the ‘‘Task-Negative System’’ Is Composed of a Single Subgraph In an influential article, Fox et al. (2005) described a task-positive network that is broadly activated across tasks, and a task-negative network that is broadly inac”
Mapping the Structural Core of Human Cerebral Cortex (2008, neutral): “, [15,17,18]), we find that this seed region maintains positive functional connections with portions of posterior medial cortex, medial orbitofrontal cortex, and lateral parietal cortex.”
The role of the posterior cingulate cortex in cognition and disease. (2014, neutral): “As many experimental tasks involve an external focus of attention, this has led to the DMN being labelled as a ‘task-negative’ network (Fox et al., 2005).”
Depressive Rumination, the Default-Mode Network, and the Dark Matter of Clinical Neuroscience (2015, positive): “…of the degree to which DMN activity exceeded activity in the task positive network—a network that shows an anti-correlated relation with the DMN and is involved in effortful tasks requiring attention (12)—over the course of a resting-state fMRI scan in depressed and non-depressed individuals (6).”
Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks (2019, neutral): “…visuospatial attention and has been referred to as the “task-negative network” for its antiphase and largely antagonistic relationship with the dorsal frontoparietal attention network (Fox et al. 2005) and other lateral frontoparietal networks (Sridharan et al. 2008) (see also Dixon et al. (2017)).”
Optimization of anesthesia protocol for resting-state fMRI in mice based on differential effects of anesthetics on functional connectivity patterns (2014, neutral): “This later feature resembles anti-correlations found between the default mode network and the task-related networks (Fox et al., 2005), and may indicate an overall improved network integrity compared to when administering isoflurane or medetomidine alone.”
The Nuisance of Nuisance Regression: Spectral Misspecification in a Common Approach to Resting-State fMRI Preprocessing Reintroduces Noise and Obscures Functional Connectivity (2013, neutral): “, 2010), and numerous studies on this topic have contributed greatly to the elucidation of the functional architecture of the human brain (Buckner et al., 2011; Fair et al., 2007; Fox et al., 2005).”
Disrupted small-world networks in schizophrenia. (2008, neutral): “In addition, we compared many earlier restingstate fMRI studies that used either short or long time series (80–2048 volumes of resting-state fMRI signals) and found that they produced replicable results in normal people (Greicius et al., 2003; Fox et al., 2005; Salvador et al., 2005a; Achard and Bul”
Benchmarking of participant‐level confound regression strategies for the control of motion artifact in studies of functional connectivity (2017, neutral): “Mean white matter (WM) and cerebrospinal fluid (CSF) signals were computed by averaging within masks derived from the segmentation of each subject's structural image; these masks were eroded using AFNI's 3dmask_tool (Cox, 1996) to prevent inclusion of gray matter signal via partial-volume effects.”
Sources and implications of whole-brain fMRI signals in humans (2016, neutral): “First, by the “global signal” we mean the average fMRI signal over the entire brain, as it is typically and historically used (Aguirre et al., 1997; Fox et al., 2005, 2009; Greicius et al., 2003; Murphy et al., 2009; Zarahn et al., 1997).”
Assessing functional connectivity in the human brain by fMRI. (2007, neutral): “[66] showed that regions with anti-correlated responses to a stimulus or cognitive task also exhibit anticorrelated BOLD signals in the resting state, which suggests that the intrinsic fluctuations reflect the same functional networks that become engaged during task performance.”