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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.  ...  slices) was carried out to acquire a high-resolution anatomical image of the brain structure.  ... 
doi:10.1371/journal.pone.0144963 pmid:26714192 pmcid:PMC4694646 fatcat:rvdndwhg6fh5taix5esuw2q4uy

Connectome-Based Smoothing (CBS): Concepts, methods, and evaluation [article]

Sina Mansour L., Caio Seguin, Robert E Smith, Andrew Zalesky
2021 bioRxiv   pre-print
We conclude that spatial smoothing is particularly important for the reliability of high-resolution connectomes, but can also provide benefits at lower parcellation resolutions.  ...  Structural connectomes are increasingly mapped at high spatial resolutions comprising many hundreds—if not thousands—of network nodes.  ...  High-resolution connectomes are a subset of connectomes that investigate the connectivity structure of the brain at the resolution of cortical vertices/voxels [32] .  ... 
doi:10.1101/2021.09.19.461011 fatcat:niph6zdrhbglllazqkqzvwxvhq

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.  ...  Much like genomics, brain connectomics has rapidly become a core component of most national brain projects around the world.  ...  Conflict of interest The authors declare that they have no conflicts of interest.  ... 
doi:10.1007/s11434-014-0698-3 fatcat:7vvburbmdbha3cs57p7o45256u

Structural connectome fingerprinting and age prediction in pediatric development: assessing voxel- and surface-based white matter connectivity [article]

Noor B Al-Sharif, Etienne St-Onge, Jacob W Vogel, Maxime Descoteaux, Alan C Evans
2021 bioRxiv   pre-print
Notably, structural connectomes derived from either method demonstrate reliably accurate representations of both individuals and their chronological age, comparable to similar analyses employing multi-modal  ...  Here, we assessed the replicability and reliability of two connectome-generating methods, voxel- or surface-based, using test-retest analyses, fingerprinting and age prediction.  ...  These results outperform the 392 first instance of connectomic fingerprinting using rsfMRI which presented 393 89% accuracy using whole-brain connectomes (Finn et al., 2015) .  ... 
doi:10.1101/2021.02.19.432024 fatcat:srerevhamfcpdgj2s6rihf4zsy

FOD-Net: A Deep Learning Method for Fiber Orientation Distribution Angular Super Resolution [article]

Rui Zeng, Jinglei Lv, He Wang, Luping Zhou, Michael Barnett, Fernando Calamante, Chenyu Wang
2021 bioRxiv   pre-print
Mapping the human connectome using fibre-tracking permits the study of brain connectivity and yields new insights into neuroscience.  ...  Using this method, we improve the angular resolution of FOD images acquired with typical single-shell low-angular-resolution dMRI data (e.g., 32 directions, b=1000 s/mm2) to approximate the quality of  ...  The intra-subject connectome difference for each FOD method therefore reflects the test-retest connectome reliability associated with a given FOD method.  ... 
doi:10.1101/2021.01.17.427042 fatcat:2azv4gwy5jbzpdawoxmdgh4nwe

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  
In this work, the reproducibility of commonly used graph theoretic measures is investigated, as applied to the structural connectome of healthy adult volunteers.  ...  Two datasets are examined, one consisting of 10 subjects scanned twice at one MRI facility and one consisting of five subjects scanned once each at two different facilities using the same imaging platform  ...  We are also grateful to Thorsten Feiweier of Siemens Healthcare for access to the work-in-progress diffusion pulse sequence used in this research. Author Disclosure Statement Julia P. Owen  ... 
doi:10.1089/brain.2012.0121 pmid:23350832 pmcid:PMC3634151 fatcat:lruq2icppffkpbq53uya6lkipq

Robustness of connectome harmonics to local gray matter and long-range white matter connectivity changes

Sébastien Naze, Timothée Proix, Selen Atasoy, James R Kozloski
2020 NeuroImage  
Recently, it has been proposed that the harmonic patterns emerging from the brain structural connectivity underlie the resting state networks of the human brain.  ...  Finally, using the connectome harmonic framework, we also provide a proof-of-concept for how targeted structural changes such as the atrophy of inter-hemispheric callosal fibers and gray matter alterations  ...  A. is supported by the Beatriu de Pinos -Marie Curie Postdoctoral Fellowship and by the European Research Counsel Consolidator grant: CAREGIV-ING "615539 ".  ... 
doi:10.1016/j.neuroimage.2020.117364 pmid:32947015 pmcid:PMC7779370 fatcat:azyft4n4rzah3nyl253suiy27i

An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data

Michael Schirner, Simon Rothmeier, Viktor K. Jirsa, Anthony Randal McIntosh, Petra Ritter
2015 NeuroImage  
With the pipeline we also introduce novel ways of estimating the transmission strengths of fiber tracts in whole-brain structural connectivity (SC) networks and compare the outcomes of different tractography  ...  The pipeline combines several state-of-the-art neuroinformatics tools to generate subject-specific cortical and subcortical parcellations, surface-tessellations, structural and functional connectomes,  ...  Acknowledgments The authors acknowledge the support of the German Ministry of Education and Research (Bernstein Focus State Dependencies of Learning 01GQ0971) to PR, the James S.  ... 
doi:10.1016/j.neuroimage.2015.03.055 pmid:25837600 fatcat:lfpdxcvh7ndwld4synfmbqvsym

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  
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  ...  , 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,  ...  Acknowledgments This work was partially supported by the National Natural Science Foundation of China (81220108014, 81171409, 81030028) the Open Research Fund of the Key Laboratory of Behavioral Science  ... 
doi:10.1016/j.neuroimage.2012.10.017 pmid:23085497 pmcid:PMC3609711 fatcat:b7onxlb7rrf7jmroc5ydheszyq

Edge density imaging: Mapping the anatomic embedding of the structural connectome within the white matter of the human brain

Julia P. Owen, Yi Shin Chang, Pratik Mukherjee
2015 NeuroImage  
The structural connectome has emerged as a powerful tool to characterize the network architecture of the human brain and shows great potential for generating important new biomarkers for neurologic and  ...  The structural connectome has emerged as a powerful tool to characterize the network architecture of the human brain and shows great potential for generating important new biomarkers for neurologic and  ...  National Institutes of Health (NIH). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.  ... 
doi:10.1016/j.neuroimage.2015.01.007 pmid:25592996 pmcid:PMC4340739 fatcat:j7tw7qkukrewhj4k6o6noror4u

StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis [article]

Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
2021 arXiv   pre-print
Moreover, we design a new Ground Truth-Preserving loss function to guide both generators in learning the topological structure of ground truth brain graphs more accurately.  ...  (e.g., functional-functional) domains, (ii) generating high-resolution brain graphs without resorting to the time consuming and expensive MRI processing steps, and (iii) enforcing the source distribution  ...  Then, we synthesize high-resolution (HR) functional brain graphs from LR functional graphs using GCN-based intra-modality GAN.  ... 
arXiv:2110.04279v1 fatcat:hfnmzxkh6fhnlfdrqq3eptua3a

Reproducibility of the Structural Brain Connectome Derived from Diffusion Tensor Imaging

Leonardo Bonilha, Ezequiel Gleichgerrcht, Julius Fridriksson, Chris Rorden, Jesse L. Breedlove, Travis Nesland, Walter Paulus, Gunther Helms, Niels K. Focke, Satoru Hayasaka
2015 PLoS ONE  
In this study, we evaluated how these variables affect the reproducibility of the structural connectome. reproducibility.  ...  Reproducibility of the Structural Connectome Fig 4. This figure demonstrates the association between the anatomical properties of each link and link-wise reproducibility.  ...  Acknowledgments This study was supported in part by the National Institute on Deafness and Other Communication Disorders (NIDCD), grant number DC014021 (LB) and by the American Heart Association (AHA),  ... 
doi:10.1371/journal.pone.0135247 pmid:26332788 pmcid:PMC4557836 fatcat:wach5luapbdgfo5ylitlrdbgpq

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  
Brain functional connectivity features can predict cognition and behavior at the level of the individual.  ...  We compared multivariate and univariate connectivity estimates, demonstrating that relative to univariate estimates, multivariate estimates exhibited higher reliability at both the edge-level and connectome-level  ...  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

Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands

Fani Deligianni, Maria Centeno, David W. Carmichael, Jonathan D. Clayden
2014 Frontiers in Neuroscience  
We compare whole-brain functional connectomes based on their geodesic distance to reliably estimate the performance of the prediction.  ...  Simultaneous EEG-fMRI offers the opportunity to observe brain network dynamics with high spatio-temporal resolution.  ...  In Table 1 of Wilcoxon rank-sum tests for assessing differences between intra-subject comparisons of EEG and fMRI connectomes across bands.  ... 
doi:10.3389/fnins.2014.00258 pmid:25221467 pmcid:PMC4148011 fatcat:srkgcxtatvepbgzvuv2h4p6y4y

Joint Analysis of Functional and Structural Connectomes Between Preterm and Term Infant Brains via Canonical Correlation Analysis With Locality Preserving Projection

Shu Zhang, Zhibin He, Lei Du, Yin Zhang, Sigang Yu, Ruoyang Wang, Xintao Hu, Xi Jiang, Tuo Zhang
2021 Frontiers in Neuroscience  
After investigating the whole brain connections on a fine-scale connectome approach, we successfully identified 89 functional and 97 structural connections, which mostly contributed to differentiate preterm  ...  Therefore, seeking the differences of brain connectome between preterm and term infant brains is a vital step for understanding the developmental impairment caused by preterm.  ...  The distribution of the whole brain cortical surface is also provided as a reference in green.  ... 
doi:10.3389/fnins.2021.724391 pmid:34690672 pmcid:PMC8526737 fatcat:a4g6wmownfbgpova7mylrvbbq4
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