ArticlePloS one2015
Functional network overlap as revealed by fMRI using sICA and its potential relationships with functional heterogeneity, balanced excitation and inhibition, and sparseness of neuron activity.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Cellular and molecular associations with intrinsic brain organization.Nature communications · 2025Article
- Mental time travel and insight in schizophrenia.Psychological medicine · 2025Review
- Cellular and molecular associations with intrinsic brain organization.bioRxiv : the preprint server for biology · 2025Article
- Inhibition of the inferior parietal lobe triggers state-dependent network adaptations.Heliyon · 2024Article
- SMART (Splitting-Merging Assisted Reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks.Neuroscience bulletin · 2024Article
- Task-specific network interactions across key cognitive domains.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Phase fMRI defines brain resting-state functional hubs within central and posterior regions.Brain structure & function · 2021Article
- NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders.NeuroImage. Clinical · 2020Article
- Spiritual experiences are related to engagement of a ventral frontotemporal functional brain network: Implications for prevention and treatment of behavioral and substance addictions.Journal of behavioral addictions · 2019Article
- Gradient theories of brain activation: A novel application to studying the parental brain.Current behavioral neuroscience reports · 2019Article
- Phase fMRI Reveals More Sparseness and Balance of Rest Brain Functional Connectivity Than Magnitude fMRI.Frontiers in neuroscience · 2019Article
- Response inhibition and fronto-striatal-thalamic circuit dysfunction in cocaine addiction.Drug and alcohol dependence · 2018Article
- Ten Key Observations on the Analysis of Resting-state Functional MR Imaging Data Using Independent Component Analysis.Neuroimaging clinics of North America · 2017Review
- Alterations in functional brain networks associated with loss-chasing in gambling disorder and cocaine-use disorder.Drug and alcohol dependence · 2017Article
- Large-scale functional network overlap is a general property of brain functional organization: Reconciling inconsistent fMRI findings from general-linear-model-based analyses.Neuroscience and biobehavioral reviews · 2016Review
- Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach.Frontiers in neuroinformatics · 2016Article
- Echoes of the Brain: Local-Scale Representation of Whole-Brain Functional Networks within Transmodal Cortex.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2015Review
- Implications of cortical balanced excitation and inhibition, functional heterogeneity, and sparseness of neuronal activity in fMRI.Neuroscience and biobehavioral reviews · 2015Review
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Authors and funding
8 authors.
Funding
Abstract
Functional magnetic resonance imaging (fMRI) studies traditionally use general linear model-based analysis (GLM-BA) and regularly report task-related activation, deactivation, or no change in activation in separate brain regions. However, several recent fMRI studies using spatial independent component analysis (sICA) find extensive overlap of functional networks (FNs), each exhibiting different task-related modulation (e.g., activation vs. deactivation), different from the dominant findings of GLM-BA. This study used sICA to assess overlap of FNs extracted from four datasets, each related to a different cognitive task. FNs extracted from each dataset overlapped with each other extensively across most or all brain regions and showed task-related concurrent increases, decreases, or no changes in activity. These findings indicate that neural substrates showing task-related concurrent but different modulations in activity intermix with each other and distribute across most of the brain. Furthermore, spatial correlation analyses found that most FNs were highly consistent in spatial patterns across different datasets. This finding indicates that these FNs probably reflect large-scale patterns of task-related brain activity. We hypothesize that FN overlaps as revealed by sICA might relate to functional heterogeneity, balanced excitation and inhibition, and population sparseness of neuron activity, three fundamental properties of the brain. These possibilities deserve further investigation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.