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Mapping population-based structural connectomes

Zhengwu Zhang, Maxime Descoteaux, Jingwen Zhang, Gabriel Girard, Maxime Chamberland, David Dunson, Anuj Srivastava, Hongtu Zhu
2018 NeuroImage  
We apply the PSC to Human Connectome Project data to illustrate its application in characterizing normal variations and heritability of structural connectomes in healthy subjects.  ...  of the extracted structural connectomes.  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH or any other funding agency.  ... 
doi:10.1016/j.neuroimage.2017.12.064 pmid:29355769 pmcid:PMC5910206 fatcat:zm3436yv7newzbv2pqyq63vwae

Heritability of the human connectome: A connectotyping study

Oscar Miranda-Dominguez, Eric Feczko, David S. Grayson, Hasse Walum, Joel T. Nigg, Damien A. Fair
2018 Network Neuroscience  
AUTHOR SUMMARY By using machine learning and two independent datasets, this report shows that the brain's individualized functional connectome or connectotype is familial and heritable.  ...  How these individualized patterns may be constrained by environment and genetics is unknown. Here we ask whether the connectotype is familial and heritable.  ...  The approach is therefore well suited to study the uniqueness, familiality, and heritability of the functional connectome.  ... 
doi:10.1162/netn_a_00029 pmid:30215032 pmcid:PMC6130446 fatcat:pn7wxnhpujcxjahqutwmeufetq

Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data

Peter Kochunov, Neda Jahanshad, Daniel Marcus, Anderson Winkler, Emma Sprooten, Thomas E. Nichols, Susan N. Wright, L. Elliot Hong, Binish Patel, Timothy Behrens, Saad Jbabdi, Jesper Andersson (+41 others)
2015 NeuroImage  
The NIH-funded Human Connectome Project (HCP) is providing data valuable for analyzing the degree of genetic influence underlying brain connectivity revealed by state-of-the-art neuroimaging methods.  ...  The degree to which genetic factors influence brain connectivity is beginning to be understood. Large-scale efforts are underway to map the profile of genetic effects in various brain regions.  ...  Current intersubject alignment methods (even high-dimensional nonlinear registration) may not consistently align cortical and functional areas, especially in frontal and parietal areas where tertiary and  ... 
doi:10.1016/j.neuroimage.2015.02.050 pmid:25747917 pmcid:PMC4387079 fatcat:s4lpvm3wozd27fdqjc36aewfoe

Multidimensional heritability analysis of neuroanatomical shape

Tian Ge, Martin Reuter, Anderson M. Winkler, Avram J. Holmes, Phil H. Lee, Lee S. Tirrell, Joshua L. Roffman, Randy L. Buckner, Jordan W. Smoller, Mert R. Sabuncu
2016 Nature Communications  
efficient and robust to registration errors.  ...  Here we extend the concept of heritability to multidimensional traits, and present the first comprehensive analysis of the heritability of neuroanatomical shape measurements across an ensemble of brain  ...  Grant supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH).  ... 
doi:10.1038/ncomms13291 pmid:27845344 pmcid:PMC5116071 fatcat:o3syiqmwcfbk7cgmkc3phzna4y

Heritability of cervical spinal cord structure

Linda Solstrand Dahlberg, Olivia Viessmann, Clas Linnman
2020 Neurology: Genetics  
its correlates in healthy human beings.MethodsTwin data from the Human Connectome Project were analyzed with semiautomated spinal cord segmentation, evaluating test-retest reliability and broad-sense heritability  ...  ObjectiveMeasures of spinal cord structure can be a useful phenotype to track disease severity and development; this observational study measures the hereditability of cervical spinal cord anatomy and  ...  field of view, if gradient nonlinearity is accounted for.  ... 
doi:10.1212/nxg.0000000000000401 pmid:32185240 pmcid:PMC7061306 fatcat:zgm6sfgfufgddciylydhvazoeq

Pre-surgical connectome features predict IDH status in diffuse gliomas

2019 OncoTarget  
Our results support prior evidence that RF is an ideal machine learning method for this area of research.  ...  We retrospectively extracted 93 connectome features from the preoperative, T1-weighted MRI data of 234 adult patients (148 IDH mutated) and evaluated the performance of four common machine learning models  ...  Connectomics is state-of-the art methodology in neuroimaging and neuroscience to date but few if any prior studies have evaluated connectomes to predict IDH genotype.  ... 
doi:10.18632/oncotarget.27301 pmid:31741712 pmcid:PMC6849657 fatcat:7iq7hz6sxjf6fk56gmfpyobiji

Genetic and Environmental Contributions to Functional Connectivity Architecture of the Human Brain

Zhi Yang, Xi-Nian Zuo, Katie L. McMahon, R. Cameron Craddock, Clare Kelly, Greig I. de Zubicaray, Ian Hickie, Peter A. Bandettini, F. Xavier Castellanos, Michael P. Milham, Margaret J. Wright
2016 Cerebral Cortex  
One of the grand challenges faced by neuroscience is to delineate the determinants of interindividual variation in the comprehensive structural and functional connection matrices that comprise the human  ...  Here, we use a classical twin study design to examine the heritability of intrinsic functional network properties in 101 twin pairs, including network activity (i.e., variance of a network's specific temporal  ...  More importantly, it is reasonable to hypothesize that the same set of genes controlling the activity of FPN is the common source of the individual variability of these high-level cognitive control functions  ... 
doi:10.1093/cercor/bhw027 pmid:26891986 pmcid:PMC4830303 fatcat:3gzxbrdnrvgczadotegbfmnj2e

Multidimensional Heritability Analysis of Neuroanatomical Shape [article]

Tian Ge, Martin Reuter, Anderson M. Winkler, Avram J. Holmes, Phil H. Lee, Lee S. Tirrell, Joshua L. Roffman, Randy L. Buckner, Jordan W. Smoller, Mert R. Sabuncu
2015 bioRxiv   pre-print
Here we extend the concept of heritability to multidimensional traits, and present the first comprehensive analysis of the heritability of neuroanatomical shape measurements across an ensemble of brain  ...  We replicate our findings in an extended twin sample from the Human Connectome Project (HCP).  ...  Grant supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH).  ... 
doi:10.1101/033407 fatcat:3ez4vk6kijbgzcvrusorhwl2yq

The Human Connectome Project's neuroimaging approach

Matthew F Glasser, Stephen M Smith, Daniel S Marcus, Jesper L R Andersson, Edward J Auerbach, Timothy E J Behrens, Timothy S Coalson, Michael P Harms, Mark Jenkinson, Steen Moeller, Emma C Robinson, Stamatios N Sotiropoulos (+4 others)
2016 Nature Neuroscience  
This paper presents an integrated approach to data acquisition, analysis, and sharing that builds upon recent advances, particularly from the Human Connectome Project (HCP).  ...  Widespread adoption of this paradigm should accelerate progress in understanding the brain in health and disease.  ...  We thank the other investigators and staff members of the Human Connectome Project consortium for invaluable contributions to data acquisition, analysis, and sharing.  ... 
doi:10.1038/nn.4361 pmid:27571196 fatcat:wwg4h7gmw5eshc5bc3zsmt6zmy

The WU-Minn Human Connectome Project: An overview

David C. Van Essen, Stephen M. Smith, Deanna M. Barch, Timothy E.J. Behrens, Essa Yacoub, Kamil Ugurbil
2013 NeuroImage  
and function, their relationship to behavior, and their heritability and genetic underpinnings.  ...  The Human Connectome Project consortium led by Washington University, University of Minnesota, and Oxford University is undertaking a systematic effort to map macroscopic human brain circuits and their  ...  Glasser and Stam Sotiropoulos for their contributions to many of the analyses illustrated herein and Dr. Sandra Curtiss for overall project management as well as comments on the manuscript.  ... 
doi:10.1016/j.neuroimage.2013.05.041 pmid:23684880 pmcid:PMC3724347 fatcat:mehroggtjvepnm5fe6w6vvoeam

The future of the human connectome

D.C. Van Essen, K. Ugurbil
2012 NeuroImage  
The opportunity to explore the human connectome using cutting-edge neuroimaging methods has elicited widespread interest.  ...  We discuss the daunting nature of this challenge in relation to specific complexities of brain circuitry and known limitations of in vivo imaging methods.  ...  thinking about the opportunities and challenges in human connectomics.  ... 
doi:10.1016/j.neuroimage.2012.01.032 pmid:22245355 pmcid:PMC3350760 fatcat:2gsnciyw6bgs5l2z6sdmhec65y

Front Matter: Volume 9784

2016 Medical Imaging 2016: Image Processing  
A unique citation identifier (CID) number is assigned to each article at the time of publication.  ...  brain structures [9784-26] 9784 0S Robust group-wise rigid registration of point sets using t-mixture model [9784-27] 9784 0T Multi-region statistical shape model for cochlear implantation [9784-28] iv  ...  endoscopic pose estimation for intraoperative organ-mosaicking [9784-61] 9784 1R The heritability of the functional connectome is robust to common nonlinear registration methods [9784-62] POSTER  ... 
doi:10.1117/12.2240619 fatcat:kot6cogf4rf6dcjhkzdrr5gahi

Genetic architecture of hippocampal subfields on standard resolution MRI: How the parts relate to the whole

Jeremy A. Elman, Matthew S. Panizzon, Nathan A. Gillespie, Donald J. Hagler, Christine Fennema-Notestine, Lisa T. Eyler, Linda K. McEvoy, Michael C. Neale, Michael J. Lyons, Carol E. Franz, Anders M. Dale, William S. Kremen
2018 Human Brain Mapping  
We used Freesurfer v6.0 to segment hippocampal subfields in two large twin studies, the Vietnam Era Twin Study of Aging and the Human Connectome Project.  ...  We estimated heritability of subfields and the genetic overlap with total hippocampal volume.  ...  The HCP is a large-scale consortium with the aim of investigating structural and functional properties of the human brain.  ... 
doi:10.1002/hbm.24464 pmid:30430703 pmcid:PMC6397064 fatcat:stjmnrlmyvdu3am5sqbthyxd54

Toward discovery science of human brain function

B. B. Biswal, M. Mennes, X.-N. Zuo, S. Gohel, C. Kelly, S. M. Smith, C. F. Beckmann, J. S. Adelstein, R. L. Buckner, S. Colcombe, A.-M. Dogonowski, M. Ernst (+42 others)
2010 Proceedings of the National Academy of Sciences of the United States of America  
To initiate discovery science of brain function, the 1000 Functional Connectomes Project dataset is freely accessible at www.nitrc.org/projects/fcon_1000/. database | neuroimaging | open access | reproducibility  ...  The core challenge remains the development of common paradigms for interrogating the myriad functional systems in the brain without the constraints of a priori hypotheses.  ...  Financial support for the 1000 Functional Connectomes project was provided by grants from the National  ... 
doi:10.1073/pnas.0911855107 pmid:20176931 pmcid:PMC2842060 fatcat:ccl3bqyvuza3bpzl6twmwtjip4

Mobile Footprinting: Linking Individual Distinctiveness in Mobility Patterns to Mood, Sleep, and Brain Functional Connectivity [article]

Cedric Huchuan Xia, Ian Barnett, Tinashe Tapera, Zaixu Cui, Tyler Moore, AzeezA Adebimpe, Sage Rush, Kayla Piiwaa, Kristin Murtha, Sophia Linguiti, Ellen Leibenluft, Melissa Martin (+9 others)
2021 bioRxiv   pre-print
Mapping individual differences in behavior is fundamental to personalized neuroscience.  ...  Critically, mobility footprints exhibit varying levels of person-specific distinctiveness and are associated with individual differences in affective instability, circadian irregularity, and brain functional  ...  The individual functional 34 connectome is unique and stable over months to years. Neuroimage 189, 676-687 (2019). 35 10. Miranda-Dominguez, O. et al.  ... 
doi:10.1101/2021.05.17.444568 fatcat:bqeo6e65yrbddoe7elimtvjp5i
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