ReviewNeuroscience and biobehavioral reviews2015
Implications of cortical balanced excitation and inhibition, functional heterogeneity, and sparseness of neuronal activity in fMRI.
Review in Neuroscience and biobehavioral reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed.
- PET-MRI effects of N-acetylcysteine in patients with multiple sclerosis.IBRO neuroscience reports · 2026Article
- Electroacupuncture modulates abnormal brain connectivity after ischemia reperfusion injury in rats: A graph theory-based approach.Brain and behavior · 2024Article
- Task-specific network interactions across key cognitive domains.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Entropy Could Quantify Brain Activation Induced by Mechanical Impedance-Restrained Active Arm Motion: A Functional NIRS Study.Entropy (Basel, Switzerland) · 2022Article
- Aperiodic measures of neural excitability are associated with anticorrelated hemodynamic networks at rest: A combined EEG-fMRI study.NeuroImage · 2021Article
- Extinction learning alters the neural representation of conditioned fear.Cognitive, affective & behavioral neuroscience · 2020Article
- The Application of EEG Mu Rhythm Measures to Neurophysiological Research in Stuttering.Frontiers in human neuroscience · 2019Article
- Phase fMRI Reveals More Sparseness and Balance of Rest Brain Functional Connectivity Than Magnitude fMRI.Frontiers in neuroscience · 2019Article
- Homeostatic plasticity and emergence of functional networks in a whole-brain model at criticality.Scientific reports · 2018Article
- Altered functional connectivity to stressful stimuli in prenatally cocaine-exposed adolescents.Drug and alcohol dependence · 2017Article
- From homeostasis to behavior: Balanced activity in an exploration of embodied dynamic environmental-neural interaction.PLoS computational biology · 2017Article
- Learning and Choice in Mood Disorders: Searching for the Computational Parameters of Anhedonia.Computational psychiatry (Cambridge, Mass.) · 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
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Abstract
Blood-oxygenation-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) studies often report inconsistent findings, probably due to brain properties such as balanced excitation and inhibition and functional heterogeneity. These properties indicate that different neurons in the same voxels may show variable activities including concurrent activation and deactivation, that the relationships between BOLD signal and neural activity (i.e., neurovascular coupling) are complex, and that increased BOLD signal may reflect reduced deactivation, increased activation, or both. The traditional general-linear-model-based-analysis (GLM-BA) is a univariate approach, cannot separate different components of BOLD signal mixtures from the same voxels, and may contribute to inconsistent findings of fMRI. Spatial independent component analysis (sICA) is a multivariate approach, can separate the BOLD signal mixture from each voxel into different source signals and measure each separately, and thus may reconcile previous conflicting findings generated by GLM-BA. We propose that methods capable of separating mixed signals such as sICA should be regularly used for more accurately and completely extracting information embedded in fMRI datasets.
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