Behavioral interpretations of intrinsic connectivity networks
Open accessAbstract
An increasingly large number of neuroimaging studies have investigated functionally connected networks during rest, providing insight into human brain architecture. Assessment of the functional qualities of resting state networks has been limited by the task-independent state, which results in an inability to relate these networks to specific mental functions. However, it was recently demonstrated that similar brain networks can be extracted from resting state data and data extracted from thousands of task-based neuroimaging experiments archived in the BrainMap database. Here, we present a full functional explication of these intrinsic connectivity networks at a standard low order decomposition using a neuroinformatics approach based on the BrainMap behavioral taxonomy as well as a stratified, data-driven ordering of cognitive processes. Our results serve as a resource for functional interpretations of brain networks in resting state studies and future investigations into mental operations and the tasks that drive them.
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Activity in different resting state networks has been linked to different functions.
“Activity in the different resting state networks has been linked to different functions (Laird et al., 2011) and the degree of correlation has been shown to be related to behavioral outcomes (Vincent et al., 2006) and clinical conditions (Greichius, 2008).”
From Oxytocin effects on complex brain networks are moderated by experiences of maternal love withdrawal (2013) · cites this paper as Laird et al., 2011
Spatial ICA extracts the DMN in its entirety and can split the DMN into discrete spatially distributed subnetworks (ICNs) characterized by high within-network functional connectivity.
“Spatial ICA not only extracts the DMN in its entirety (even if GLM analysis of the same task data does not) but can also split the DMN into discrete spatially distributed subnetworks, known as intrinsic connectivity networks (ICNs), which are brain regions characterized by a high degree of withinnetwork functional connectivity (i.e., voxel time course correlation) (for more on ICNs, see [Laird et”
From Specific default mode subnetworks support mentalizing as revealed through opposing network recruitment by social and semantic FMRI tasks: Mentalizing and Default-Mode Subnetworks (2015) · cites this paper as Laird et al., 2011
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FuGE: Functional Genomics Experiment Object Model
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Lost in localization — But found with foci?!
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Lost in localization: A minimal middle way
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Dynamic functional connectivity: Promise, issues, and interpretations
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Human consciousness is supported by dynamic complex patterns of brain signal coordination
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- Authors
- Laird, A. R., Fox, P. M., Eickhoff, S. B., Turner, J. A., Ray, K. L., McKay, D. R., Glahn, D. C., Beckmann, C. F., Smith, S. M., & Fox, P. T.
- Affiliations
- The University of Texas at San Antonio Health Science Center (US)
- Forschungszentrum Jülich (DE)
- Mind Research Network (US)
- Yale University (US)
- University of Oxford (GB)
- ORCID
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press
- Published
- 2011-12-01
- Volume
- 23
- Issue
- 12
- Pages
- 4022-4037
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- PMC
- PMC3690655
- OpenAlex
- W2165159030
- Cited by
- 1,023
- References
- 96
- Citations by year
- 2026: 19 · 2025: 48 · 2024: 41 · 2023: 40 · 2022: 70 · 2021: 85 · 2020: 118 · 2019: 67 · 2018: 79 · 2017: 100 · 2016: 86 · 2015: 95 · 2014: 75 · 2013: 57 · 2012: 37
- FWCI
- 27.91
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Funders
- National Institutes of Health (5r01mh084812-03)
- National Institute of Mental Health (R01‐MH084812, R01MH074457)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- resting-state networks, functional connectivity, behavioral taxonomy, neuroinformatics
- MeSH terms
- Brain, Brain Mapping, Classification, Humans, Nerve Net, Neural Pathways, Psychomotor Performance, Cluster Analysis, Databases, Factual
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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