Regional homogeneity approach to fMRI data analysis

By Yufeng Zang, T. Jiang, Yingli Lu, Yong He, Lixia Tian. NeuroImage, 2004

2,548 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/678b190a24957df86c06dc3a7f76fe1d021eee80

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

A whole brain fMRI atlas generated via spatially constrained spectral clustering (2011, methodology): “, 2006], which for FC analysis requires that a ROI’s voxels have similar time courses [Zang et al., 2004] or produce similar FC patterns [Cohen et al.”
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging (2016, background): “Keywords: data processing; quality control; resting-state fMRI; standardization; statistical analysis”
A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics (2013, neutral): “…seed-based correlation (Biswal et al., 1995), ALFF/fALFF (Zang et al., 2007; Zou et al., 2008; Zuo et al., 2010a), regional homogeneity (ReHo, Zang et al., 2004; Zuo et al., 2013), voxel-mirrored homotopic connectivity (VMHC, Anderson et al., 2011; Zuo et al., 2010c) and degree centrality…”
Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks (2017, methodology): “The Kendall coefficient of concordance examines the similarity of a number of time courses while regional homogeneity evaluates the similarity of the time series of the particular voxel with that of the nearby neighbours in a voxel-wise manner.(25) The chart shows the processing of seed-based FC ana”
Disrupted Modularity and Local Connectivity of Brain Functional Networks in Childhood-Onset Schizophrenia (2010, positive): “Although the exact metric is different, decreased homogeneity of the MRI signal within anatomical regions is consistent with decreased regional homogeneity (ReHo; Zang et al., 2004), which has been reported in some brain regions in an adult-onset schizophrenia population (Liu et al., 2006).”
REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing (2011, methodology): “In this procedure, 27 nearest neighboring voxels were defined as a cluster and a KCC value (ranging from 0 to 1) was given to the voxel at the center of this cluster [13].”
Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space (2012, methodology): “In the initial paper describing ReHo (Zang et al., 2004) and most applications published by using ReHo, preprocessing did not include removal of any nuisance signals although the functionality of removing head motion, white matter, CSF and global signal from BOLD time series is available in DPARSF…”
Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes (2013, positive): “Mean division is a prototypic approach for correction of multiplicative effects by scaling each participant in terms of the global mean across voxels, and has been used in the R-fMRI literature for frequency-based measures and regional homogeneity (Zang et al., 2004, 2007).”
The resting brain: unconstrained yet reliable. (2009, methodology): “In the context of fcMRI, Kendall’s W has previously been used to compare the consistency of time series within an individual (‘‘regional homogeneity’’; Zang et al. 2004).”
Default-mode brain dysfunction in mental disorders: a systematic review. (2009, methodology): “Similarly, Zang et al. (2004) have examined the correlation between a given voxel and neighbouring voxels, denoted as ‘regional connectivity’ or ‘regional homogeneity’ (Zang et al., 2007; Zhu et al., 2008).”
A Correspondence between Individual Differences in the Brain's Intrinsic Functional Architecture and the Content and Form of Self-Generated Thoughts (2014, background): “ReHo measures the correlation between the activity of a voxel and its neighbours, and can be taken as an index of local functional coherence [26].”
Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. (2007, methodology): “The resting-state data obtained from 11 children with ADHD and each of the control subjects were then used for discriminative analysis [25], based on the previously described regional homogeneity (ReHo) method [26], and also for functional connectivity analysis [21].”
The effect of resting condition on resting-state fMRI reliability and consistency: A comparison between resting with eyes open, closed, and fixated (2013, methodology): “…assessed using Kendall's coefficient of concordance, or W, which ranges from 0 being no agreement to 1 being complete agreement (Guo et al., 2011; Kendall and Gibbons, 1990; Kendall and Smith, 1939; Legendre, 2005; Li et al., 2012; Shehzad et al., 2009; Thomason et al., 2011; Zang et al., 2004).”