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Test–Retest Reliability of Computational Network Measurements Derived from the Structural Connectome of the Human Brain

Julia P. Owen, Etay Ziv, Polina Bukshpun, Nicholas Pojman, Mari Wakahiro, Jeffrey I. Berman, Timothy P.L. Roberts, Eric J. Friedman, Elliott H. Sherr, Pratik Mukherjee
2013 Brain Connectivity  
These findings indicate that measurements of computational network metrics derived from the structural connectome have sufficient precision to be tested as potential biomarkers for diagnosis, prognosis  ...  Before computational network metrics from the human connectome can be applied in a clinical setting, their precision and their normative intersubject variation must be understood to guide the study design  ...  Acknowledgments This work was supported by a grant from the Simons Foundation Variation in Individuals Project and by NIH R01 NS060776.  ... 
doi:10.1089/brain.2012.0121 pmid:23350832 pmcid:PMC3634151 fatcat:lruq2icppffkpbq53uya6lkipq

Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month

Bing Chen, Ting Xu, Changle Zhou, Luoyu Wang, Ning Yang, Ze Wang, Hao-Ming Dong, Zhi Yang, Yu-Feng Zang, Xi-Nian Zuo, Xu-Chu Weng, Gaolang Gong
2015 PLoS ONE  
Analyzing both intra-and inter-individual variability revealed a set of high-resolution maps on test-retest reliability of the multi-scale connectomic metrics.  ...  Individual differences in mind and behavior are believed to reflect the functional variability of the human brain.  ...  Meso Scales: Networks and Modules The left PCC region showed substantial test-retest reliability of its seed-based functional connectivity ( Fig 5A) with a set of brain areas from both the Default network  ... 
doi:10.1371/journal.pone.0144963 pmid:26714192 pmcid:PMC4694646 fatcat:rvdndwhg6fh5taix5esuw2q4uy

Uncovering differential identifiability in network properties of human brain functional connectomes

Meenusree Rajapandian, Enrico Amico, Kausar Abbas, Mario Ventresca, Joaquín Goñi
2020 Network Neuroscience  
Results show that improving across-session reliability of FCs also improves reliability of derived network measures.  ...  Our work answers these questions by exploring the differential identifiability profiles of network measures when I f is applied on 1) the functional connectomes, and 2) directly on derived network measurements  ...  ACKNOWLEDGMENTS Data were provided (in part) by the Human Connectome Project, WU-Minn Consortium (principal investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657), funded by the 16 NIH Institutes  ... 
doi:10.1162/netn_a_00140 pmid:32885122 pmcid:PMC7462422 fatcat:4vvps47sure7lnjlicu6tblkli

Uncovering differential identifiability in network properties of human brain functional connectomes [article]

Meenusree Rajapandian, Enrico Amico, Kausar Abbas, Mario Ventresca, Joaquín Goñi
2019 arXiv   pre-print
Results show that improving across-session reliability of FCs also improves reliability of derived network measures.  ...  Our work answers these questions by exploring the differential identifiability profiles of network measures when If is applied on 1) the functional connectomes, and 2) directly on derived network measurements  ...  Introduction The analysis of structural and functional human brain connectivity based on network science has become prevalent for understanding the underlying mechanisms of the human brain.  ... 
arXiv:1911.10193v1 fatcat:dklsc5mirbdqrib72g4adtndh4

Toward Reliable Network Neuroscience for Mapping Individual Differences [article]

Chao Jiang, Richard Betzel, Ye He, Xi-Nian Zuo
2021 bioRxiv   pre-print
the test-retest design of the resting-state functional magnetic resonance imaging from the Human Connectome Project.  ...  Here, we aim to provide a benchmark for best practices by systematically comparing the reliability of human brain network measurements of individual differences under different analytical strategies using  ...  In this paper, we conducted a systematic investigation of reliability for network neuroscience based upon the test-retest rfMRI data from the Human Connectome Project (HCP) (31) .  ... 
doi:10.1101/2021.05.06.442886 fatcat:ckbuw6v7drdo7l4qy3xfmxwmwm

A Connectome Computation System for discovery science of brain

Ting Xu, Zhi Yang, Lili Jiang, Xiu-Xia Xing, Xi-Nian Zuo
2015 Science Bulletin  
science in the field of human brain connectomics.  ...  Here, we introduce a computational pipeline-namely the Connectome Computation System (CCS)-for discovery science of human brain connectomes at the macroscale with multimodal magnetic resonance imaging  ...  Conflict of interest The authors declare that they have no conflicts of interest.  ... 
doi:10.1007/s11434-014-0698-3 fatcat:7vvburbmdbha3cs57p7o45256u

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

Xi-Nian Zuo, Ting Xu, Lili Jiang, Zhi Yang, Xiao-Yan Cao, Yong He, Yu-Feng Zang, F. Xavier Castellanos, Michael P. Milham
2013 NeuroImage  
Despite a burgeoning literature on ReHo in the field of neuroimaging brain disorders, its test-retest (TRT) reliability remains unestablished.  ...  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  ...  and the Startup Foundation for Distinguished Research Professor (Y0CX492S03) of the Institute of Psychology, Chinese Academy of Sciences as well as R01MH083246 from NIMH.  ... 
doi:10.1016/j.neuroimage.2012.10.017 pmid:23085497 pmcid:PMC3609711 fatcat:b7onxlb7rrf7jmroc5ydheszyq

Editorial: Reliability and Reproducibility in Functional Connectomics

Xi-Nian Zuo, Bharat B. Biswal, Russell A. Poldrack
2019 Frontiers in Neuroscience  
Related to human arousal, as demonstrated in Wang et al., test-retest reliability of human functional connectomics can be significantly improved by removing the impact of sleep using measures of heart  ...  Common algorithms have been recently given a state of art review in terms of their test-retest reliability (Zuo and Xing, 2014) , indicating that network metrics derived from graph theory applied to rfMRI  ...  Conflict of Interest Statement: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest  ... 
doi:10.3389/fnins.2019.00117 pmid:30842722 pmcid:PMC6391345 fatcat:x73vpd5tr5bafcnts2iefjr6qi

Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices

Leonardo Tozzi, Scott L. Fleming, Zachary D. Taylor, Cooper D. Raterink, Leanne M. Williams
2020 Network Neuroscience  
Countless studies have advanced our understanding of the human brain and its organization by using functional Magnetic Resonance Imaging (fMRI) to derive network representations of human brain function  ...  In a large public sample of healthy participants (N=833) scanned on two consecutive days, we assessed the test-retest reliability of fMRI functional connectivity and the consequences on reliability of  ...  quantify the test-retest reliability of FC.  ... 
doi:10.1162/netn_a_00148 pmid:33615097 pmcid:PMC7888485 fatcat:zqrpq7k43rc5fnrq25eo7p7jwe

Short-term test-retest reliability of the human intrinsic functional connectome [article]

Leonardo Tozzi, Scott Lanyon Fleming, Zachary Davis Taylor, Cooper Douglas Raterink, Leanne Marie Williams
2019 bioRxiv   pre-print
of human brain function.  ...  In the present work, we evaluate the short-term test-retest reliability of functional connectomes in a large publicly available sample of healthy participants (N=833) scanned on two consecutive days.  ...  quantify the test-retest reliability of FC.  ... 
doi:10.1101/755900 fatcat:vlfkcjet5vbx3gqzlppsji4cfq

Heritability Estimation of Reliable Connectomic Features [chapter]

Linhui Xie, Enrico Amico, Paul Salama, Yu-chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Jingwen Yan, Li Shen
2018 Lecture Notes in Computer Science  
Using the twin data from the Human Connectome Project (HCP), we evaluated the reliability of fractional anisotropy measure, fiber length and fiber number of each edge in the structural connectome and seven  ...  In this paper, we focus on identifying highly heritable measures of structural brain networks derived from diffusion weighted imaging data.  ...  Network level measures are derived from binarized brain network in a way that the weight of the link is set to one when it exists and zero otherwise [14] .  ... 
doi:10.1007/978-3-030-00755-3_7 pmid:30906933 pmcid:PMC6425273 fatcat:bpwv6vm3gzaxtify2hmx2vezrq

Toward Leveraging Human Connectomic Data in Large Consortia: Generalizability of fMRI-Based Brain Graphs Across Sites, Sessions, and Paradigms

Hengyi Cao, Sarah C McEwen, Jennifer K Forsyth, Dylan G Gee, Carrie E Bearden, Jean Addington, Bradley Goodyear, Kristin S Cadenhead, Heline Mirzakhanian, Barbara A Cornblatt, Ricardo E Carrión, Daniel H Mathalon (+12 others)
2018 Cerebral Cortex  
Our findings provide empirical evidence for the generalizability of brain functional graphs in large consortia, and encourage the aggregation of connectomic measures using multisite and multisession data  ...  While graph theoretical modeling has dramatically advanced our understanding of complex brain systems, the feasibility of aggregating connectomic data in large imaging consortia remains unclear.  ...  The other authors report no conflicts of interest.  ... 
doi:10.1093/cercor/bhy032 pmid:29522112 fatcat:vcfk7xb7qzarvnnodvj7r63t4i

FMRI multi-scale cortical spontaneous activity: 7T vs. 3T [article]

Xiu-Xia Xing, Chao Jiang, Xiao Gao, Yin-Shan Wang, Xi-Nian Zuo
2021 bioRxiv   pre-print
Our work, for the first time, demonstrates the spatial-scale dependence of spontaneous cortical activity measurements in the human brain and their test-retest reliability across different magnet strengths  ...  This paper describes the use of the Human Connectome Project (HCP) data for mapping the distribution of spontaneous activity in the human brain across different spatial scales, magnets and individuals.  ...  The growing field of network neuroscience 4 can use the fMRI derived data to model the entire set of functional interactions in the 5 form of the human connectome [3, 42, 46] .  ... 
doi:10.1101/2021.06.09.447694 fatcat:vkmzypbkkfaobcebtb2istxhy4

Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors

Kwangsun Yoo, Monica D. Rosenberg, Stephanie Noble, Dustin Scheinost, RTodd Constable, Marvin M. Chun
2019 NeuroImage  
Using two fMRI datasets, the Human Connectome Project sample and a local test-retest sample, we measured multivariate functional connectivity with multivariate distance correlation and univariate connectivity  ...  Most studies measure univariate signals, correlating timecourses from the average of constituent voxels in each node.  ...  Acknowledgements This project was supported by the National Institutes of Health grant MH108591 and by the National Science Foundation grant BCS1558497.  ... 
doi:10.1016/j.neuroimage.2019.04.060 pmid:31039408 pmcid:PMC6591084 fatcat:ctgpkiwh5ja5tjwdkslv43cilm

Toward neurobiological characterization of functional homogeneity in the human cortex: regional variation, morphological association and functional covariance network organization

Lili Jiang, Ting Xu, Ye He, Xiao-Hui Hou, Jinhui Wang, Xiao-Yan Cao, Gao-Xia Wei, Zhi Yang, Yong He, Xi-Nian Zuo
2014 Brain Structure and Function  
We employed structural and resting-state functional magnetic resonance imaging scans from 482 healthy subjects and computed the vertex-wise regional homogeneity of low-frequency fluctuations (2dReHo) and  ...  human brain function.  ...  Acknowledgments The authors would like to thank Drs. Olaf Sporns, Michael Peter Milham, Yu-Feng Zang and  ... 
doi:10.1007/s00429-014-0795-8 pmid:24903825 fatcat:afsgz6aw35bkpfsa6syfku3k6e
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