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Demographic Data (excel)
Description: Age, and sex for all participants included in the each dataset
Updated: Sep 1, 2009
Demographic Data (txt)
Description: Age, and sex for all participants included in each dataset
Updated: Sep 1, 2009
Preprocessing applied to data
Description: Overview of preprocessing applied to the data available in the resource. Anatomical data: defaced or skullstripped. Functional data: none
Updated: Oct 22, 2009
Reliable Intrinsic Connectivity Networks: Test-Retest Evaluation Using ICA and Dual Regression Approach
Description: We systematically evaluated the test-retest reliability of TC-GICA derived RSFC measures.
Updated: Nov 16, 2009
The oscillating brain: Complex and reliable
Description: We examined the amplitude of spontaneous low-frequency oscillations (LFO) observed in the human resting brain and the test-retest reliability of relevant amplitude measures in different frequency bands.
Updated: Oct 13, 2009
The resting brain: unconstrained yet reliable
Description: This study investigated the TRT reliability of seed-ROI based resting state functional connectivity. There are two space scales: voxels and parcellation units.
Updated: Oct 13, 2009
PubMed Mentions ( 14 )+
Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach.
Description: Zuo, Xi-Nian, et al. Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach. ''Neuroimage''. 2010 Feb 1; '''49''' (3):2163-77
Updated: Nov 23, 2019
Multi-level bootstrap analysis of stable clusters in resting-state fMRI.
Description: Bellec, Pierre, et al. Multi-level bootstrap analysis of stable clusters in resting-state fMRI. ''Neuroimage''. 2010 Jul 1; '''51''' (3):1126-39
Updated: Nov 23, 2019
Iterative approach of dual regression with a sparse prior enhances the performance of independent component analysis for group functional magnetic resonance imaging (fMRI) data.
Description: Kim, Yong-Hwan, et al. Iterative approach of dual regression with a sparse prior enhances the performance of independent component analysis for group functional magnetic resonance imaging (fMRI) data. ''Neuroimage''. 2012 Dec; '''63''' (4):1864-89
Updated: Nov 23, 2019
Automatic selection of resting-state networks with functional magnetic resonance imaging.
Description: Storti, Silvia Francesca, et al. Automatic selection of resting-state networks with functional magnetic resonance imaging. ''Front Neurosci''. 2013; '''7''': 72
Updated: Nov 23, 2019
Toward reliable characterization of functional homogeneity in the human brain: preprocessing, scan duration, imaging resolution and computational space.
Description: Zuo, Xi-Nian, et al. Toward reliable characterization of functional homogeneity in the human brain: preprocessing, scan duration, imaging resolution and computational space. ''Neuroimage''. 2013 Jan 15; '''65''': 374-86
Updated: Nov 23, 2019
Disrupted functional brain connectome in individuals at risk for Alzheimer's disease.
Description: Wang, Jinhui, et al. Disrupted functional brain connectome in individuals at risk for Alzheimer's disease. ''Biol Psychiatry''. 2013 Mar 1; '''73''' (5):472-81
Updated: Nov 23, 2019
Temporal reliability and lateralization of the resting-state language network.
Description: Zhu, Linlin, et al. Temporal reliability and lateralization of the resting-state language network. ''PLoS One''. 2014; '''9''' (1):e85880
Updated: Nov 23, 2019
Functional connectivity-based parcellation of amygdala using self-organized mapping: a data driven approach.
Description: Mishra, Arabinda, et al. Functional connectivity-based parcellation of amygdala using self-organized mapping: a data driven approach. ''Hum Brain Mapp''. 2014 Apr; '''35''' (4):1247-60
Updated: Nov 23, 2019
Dimensionality of ICA in resting-state fMRI investigated by feature optimized classification of independent components with SVM.
Description: Wang, Yanlu, et al. Dimensionality of ICA in resting-state fMRI investigated by feature optimized classification of independent components with SVM. ''Front Hum Neurosci''. 2015; '''9''': 259
Updated: Nov 23, 2019
A Novel Feature-Map Based ICA Model for Identifying the Individual, Intra/Inter-Group Brain Networks across Multiple fMRI Datasets.
Description: Wang, Nizhuan, et al. A Novel Feature-Map Based ICA Model for Identifying the Individual, Intra/Inter-Group Brain Networks across Multiple fMRI Datasets. ''Front Neurosci''. 2017; '''11''': 510
Updated: Nov 23, 2019
Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data.
Description: Du, Yuhui, et al. Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data. ''Front Neurosci''. 2017; '''11''': 267
Updated: Nov 23, 2019
Why is Clinical fMRI in a Resting State?
Description: O'Connor, Erin E, et al. Why is Clinical fMRI in a Resting State? ''Front Neurol''. 2019; '''10''': 420
Updated: Nov 23, 2019
Percent amplitude of fluctuation: A simple measure for resting-state fMRI signal at single voxel level.
Description: Jia, Xi-Ze, et al. Percent amplitude of fluctuation: A simple measure for resting-state fMRI signal at single voxel level. ''PLoS One''. 2020; '''15''' (1):e0227021
Updated: Feb 15, 2020
Generalized reliability based on distances.
Description: Xu, Meng, et al. Generalized reliability based on distances. ''Biometrics''. 2021 Mar; '''77''' (1):258-270
Updated: Apr 10, 2021