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Test–Retest Reliability of Computational Network Measurements Derived from the Structural Connectome of the Human Brain
2013
Brain Connectivity
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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
2015
PLoS ONE
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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
2020
Network Neuroscience
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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]
2019
arXiv
pre-print
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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]
2021
bioRxiv
pre-print
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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
2015
Science Bulletin
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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
2013
NeuroImage
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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
2019
Frontiers in Neuroscience
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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
2020
Network Neuroscience
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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]
2019
bioRxiv
pre-print
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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]
2018
Lecture Notes in Computer Science
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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
2018
Cerebral Cortex
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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]
2021
bioRxiv
pre-print
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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
2019
NeuroImage
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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
2014
Brain Structure and Function
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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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