Functional brain hubs and their test–retest reliability: A multiband resting-state functional MRI study

Liao, Xuhong; Xia, Mingrui; Xu, Ting; Dai, Zhengjia; Cao, Xiao-Ding; Niu, Haijing; Zuo, Xi‐Nian; Zang, Yu‐Feng; He, Yong

doi:10.1016/j.neuroimage.2013.07.058

Cited by 180 publications

(180 citation statements)

References 55 publications

Supporting

Mentioning

162

Contrasting

Order By: Relevance

“…However, we thought that the results of binary networks in the main analysis may be more reliable, given previous findings showing a trend of greater reliability of the binary node definition of a network compared with its weighted node definition. 34,35 The results of group differences of the small-world properties could also be repeated after nonparametric permutation tests (Cp: p = 0.005; γ: p = 0.61; Lp: p = 0.07; λ: p = 0.023). For the measures of nodal degree or efficiency, most of the results were preserved after scrubbing and accounting for the effects of parcellation strategies and network types (Appendix 1, Fig.…”

Section: Reproducibility Of the Findingsmentioning

confidence: 99%

Altered intrinsic functional brain architecture in female patients with bulimia nervosa

Wang

Kong

et al. 2017

JPN

View full text Add to dashboard Cite

Section: Reproducibility Of the Findingsmentioning

confidence: 99%

Altered intrinsic functional brain architecture in female patients with bulimia nervosa

Wang

Kong

et al. 2017

JPN

View full text Add to dashboard Cite

“…[1][2][3][4][5][6][7][8]46 GTA is a network analysis tool that has been commonly used in functional neuroimaging to study brain connectivity and networks. [13][14][15]18,19 To date, however, atlas-DOT and GTA have not been used jointly to extract or derive large-scale brain connectivity and networks from the NIRS measurements because of computational challenges posed by atlas-DOT. Specifically, graph formation in GTA is a difficult and computationally expensive process for atlas-DOT because of the large amount of voxels in atlas-DOT images.…”

Section: Development Of Automated Voxel Classificationmentioning

confidence: 99%

“…Graph theory analysis (GTA) is one of the analytical methods developed to examine largescale complex brain networks. [13][14][15]18,19 It can provide an uncomplicated and yet powerful mathematical means to characterize the brain networks' topological properties.…”

Section: Introductionmentioning

confidence: 99%

Automated voxel classification used with atlas-guided diffuse optical tomography for assessment of functional brain networks in young and older adults

et al. 2016

View full text Add to dashboard Cite

Abstract. Atlas-guided diffuse optical tomography (atlas-DOT) is a computational means to image changes in cortical hemodynamic signals during human brain activities. Graph theory analysis (GTA) is a network analysis tool commonly used in functional neuroimaging to study brain networks. Atlas-DOT has not been analyzed with GTA to derive large-scale brain connectivity/networks based on near-infrared spectroscopy (NIRS) measurements. We introduced an automated voxel classification (AVC) method that facilitated the use of GTA with atlas-DOT images by grouping unequal-sized finite element voxels into anatomically meaningful regions of interest within the human brain. The overall approach included volume segmentation, AVC, and cross-correlation. To demonstrate the usefulness of AVC, we applied reproducibility analysis to resting-state functional connectivity measurements conducted from 15 young adults in a two-week period. We also quantified and compared changes in several brain network metrics between young and older adults, which were in agreement with those reported by a previous positron emission tomography study. Overall, this study demonstrated that AVC is a useful means for facilitating integration or combination of atlas-DOT with GTA and thus for quantifying NIRS-based, voxel-wise resting-state functional brain networks.

show abstract

“…Researchers continue to take seriously the effort to systematically measure the factors that influence test/ retest reliability of responses across time and tasks, and these sorts of studies are increasingly common [83][84][85][86][87][88] . Other research programs focus on addressing questions about the long-term within-subject stability of responses [89][90] , and how the accurate assessment of within-participant differences might address questions about individual differences 93 .…”

Section: Results Reproducibilitymentioning

confidence: 99%

Progress toward openness, transparency, and reproducibility in cognitive neuroscience

Gilmore¹,

Diaz²,

Wyble³

et al. 2017

Preprint

View full text Add to dashboard Cite

Accumulating evidence suggests that many findings in psychological science and cognitive neuroscience may prove difficult to reproduce; statistical power in brain imaging studies is low, and has not improved recently; software errors in common analysis tools are common, and can go undetected for many years; and, a few large scale studies notwithstanding, open sharing of data, code, and materials remains the rare exception. At the same time, there is a renewed focus on reproducibility, transparency, and openness as essential core values in cognitive neuroscience. The emergence and rapid growth of data archives, meta-analytic tools, software pipelines, and research groups devoted to improved methodology reflects this new sensibility. We review evidence that the field has begun to embrace new open research practices, and illustrate how these can begin to address problems of reproducibility, statistical power, and transparency in ways that will ultimately accelerate discovery.

show abstract

Functional brain hubs and their test–retest reliability: A multiband resting-state functional MRI study

Cited by 180 publications

References 55 publications

Altered intrinsic functional brain architecture in female patients with bulimia nervosa

Altered intrinsic functional brain architecture in female patients with bulimia nervosa

Automated voxel classification used with atlas-guided diffuse optical tomography for assessment of functional brain networks in young and older adults

Progress toward openness, transparency, and reproducibility in cognitive neuroscience

Contact Info

Product

Resources

About