Large-scale functional network overlap is a general property of brain functional organization: Reconciling inconsistent fMRI findings from general-linear-model-based analyses
| Autor: | Vince D. Calhoun, John Wall, Godfrey D. Pearlson, Marc N. Potenza, Joseph M. Moran, Jiansong Xu, Patrick D. Worhunsky, Sarah W. Yip, Kathleen A. Garrison, Rubin Zhang |
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| Rok vydání: | 2016 |
| Předmět: |
Property (programming)
Cognitive Neuroscience computer.software_genre Article 050105 experimental psychology 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine Voxel medicine Humans Premovement neuronal activity 0501 psychology and cognitive sciences Default mode network General linear model Brain Mapping Communication medicine.diagnostic_test business.industry 05 social sciences Univariate Brain Magnetic Resonance Imaging Neuropsychology and Physiological Psychology business Functional magnetic resonance imaging Scale (map) Psychology human activities Neuroscience computer 030217 neurology & neurosurgery |
| Zdroj: | Neuroscience & Biobehavioral Reviews. 71:83-100 |
| ISSN: | 0149-7634 |
| DOI: | 10.1016/j.neubiorev.2016.08.035 |
| Popis: | Functional magnetic resonance imaging (fMRI) studies regularly use univariate general-linear-model-based analyses (GLM). Their findings are often inconsistent across different studies, perhaps because of several fundamental brain properties including functional heterogeneity, balanced excitation and inhibition (E/I), and sparseness of neuronal activities. These properties stipulate heterogeneous neuronal activities in the same voxels and likely limit the sensitivity and specificity of GLM. This paper selectively reviews findings of histological and electrophysiological studies and fMRI spatial independent component analysis (sICA) and reports new findings by applying sICA to two existing datasets. The extant and new findings consistently demonstrate several novel features of brain functional organization not revealed by GLM. They include overlap of large-scale functional networks (FNs) and their concurrent opposite modulations, and no significant modulations in activity of most FNs across the whole brain during any task conditions. These novel features of brain functional organization are highly consistent with the brain's properties of functional heterogeneity, balanced E/I, and sparseness of neuronal activity, and may help reconcile inconsistent GLM findings. |
| Databáze: | OpenAIRE |
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