Details

Autor(en) / Beteiligte

• Zuo, Xi-Nian
• Xu, Ting
• Jiang, Lili
• Yang, Zhi
• Cao, Xiao-Yan
• He, Yong
• Zang, Yu-Feng
• Castellanos, F. Xavier
• Milham, Michael P.

Titel

Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space

Ist Teil von

• NeuroImage (Orlando, Fla.), 2013-01, Vol.65, p.374-386

Ort / Verlag

Amsterdam: Elsevier Inc

Erscheinungsjahr

2013

Quelle

Access via ScienceDirect (Elsevier)

Beschreibungen/Notizen

• While researchers have extensively characterized functional connectivity between brain regions, the characterization of functional homogeneity within a region of the brain connectome is in early stages of development. Several functional homogeneity measures were proposed previously, among which regional homogeneity (ReHo) was most widely used as a measure to characterize functional homogeneity of resting state fMRI (R-fMRI) signals within a small region (Zang et al., 2004). Despite a burgeoning literature on ReHo in the field of neuroimaging brain disorders, its test–retest (TRT) reliability remains unestablished. Using two sets of public R-fMRI TRT data, we systematically evaluated the ReHo's TRT reliability and further investigated the various factors influencing its reliability and found: 1) nuisance (head motion, white matter, and cerebrospinal fluid) correction of R-fMRI time series can significantly improve the TRT reliability of ReHo while additional removal of global brain signal reduces its reliability, 2) spatial smoothing of R-fMRI time series artificially enhances ReHo intensity and influences its reliability, 3) surface-based R-fMRI computation largely improves the TRT reliability of ReHo, 4) a scan duration of 5min can achieve reliable estimates of ReHo, and 5) fast sampling rates of R-fMRI dramatically increase the reliability of ReHo. Inspired by these findings and seeking a highly reliable approach to exploratory analysis of the human functional connectome, we established an R-fMRI pipeline to conduct ReHo computations in both 3-dimensions (volume) and 2-dimensions (surface). [Display omitted] ► Motion and non-brain tissue correction significantly improve the ReHo's reliability. ► Global brain signal regression significantly reduces the ReHo's reliability. ► 5min scan duration is enough to achieve reliable ReHo estimates. ► Surface-based analysis produces highly reliable ReHo measures. ► Multi-band EPI resting-state brain dramatically increases the reliability of ReHo.