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Effects of tractography approach on consistency between anatomical and functional connectivity estimates

Burak Yoldemir, Bernard Ng, Rafeef Abugharbieh
2014 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)  
) through fiber tractography, while RS-fMRI enables the estimation of functional connectivity (FC) based on temporal signal correlations between different brain areas.  ...  Diffusion magnetic resonance imaging (dMRI) and resting state functional MRI (RS-fMRI) provide two complementary views of brain circuitry. dMRI facilitates the estimation of anatomical connectivity (AC  ...  Motivated by how anatomical wiring of the brain facilitates and shapes functional interactions between brain regions, a growing interest in integrating connectivity estimates derived from dMRI and RS-fMRI  ... 
doi:10.1109/isbi.2014.6867856 dblp:conf/isbi/YoldemirNA14 fatcat:g6muiaikz5ccxba7esz2nz4rcy

Joint Modeling of Anatomical and Functional Connectivity for Population Studies

A. Venkataraman, Y. Rathi, M. Kubicki, C. Westin, P. Golland
2012 IEEE Transactions on Medical Imaging  
In particular, we model the interaction between latent anatomical and functional connectivity and present an intuitive extension to population studies.  ...  The method simultaneously infers the templates of latent connectivity for each population and the differences in connectivity between the groups. We demonstrate our method on a schizophrenia study.  ...  This captures our assumptions about the effect of latent functional connectivity on fMRI correlations and reflects the fact that the relationship between latent anatomical connectivity and fMRI data is  ... 
doi:10.1109/tmi.2011.2166083 pmid:21878411 pmcid:PMC4395500 fatcat:5ku3mmnfr5gojd42rpdkhmekkq

Fiber clustering versus the parcellation-based connectome

Lauren J. O'Donnell, Alexandra J. Golby, Carl-Fredrik Westin
2013 NeuroImage  
From the perspective of white matter segmentation, we compare and contrast the goals and methods of the parcellation-based and clustering approaches, with special focus on reviewing the field of fiber  ...  We also propose a third category of new hybrid methods that combine aspects of parcellation and clustering, for joint analysis of connection structure and anatomy or function.  ...  Acknowledgments We gratefully acknowledge the following NIH grants: R01 MH074794, R21 CA156943, P41 EB015902 and P41 RR019703.  ... 
doi:10.1016/j.neuroimage.2013.04.066 pmid:23631987 pmcid:PMC3731058 fatcat:6altsrmd4zagzpymyigz5jp3ve

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  ...  We tested the functionality of the pipeline on 50 multimodal data sets.  ...  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

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  
Discussion Anatomical factors and tractography approaches can influence the reproducibility of the structural connectome and should be factored in the interpretation of future studies.  ...  The anatomical properties are Euclidian distance between connected gray matter ROIs, sum of the volume of the connected ROIs and the ratio of the volumes between the connected ROIs.  ...  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

Using Diffusion Imaging to Study Human Connectional Anatomy

Heidi Johansen-Berg, Matthew F.S. Rushworth
2009 Annual Review of Neuroscience  
For example, by detecting where connection patterns change, one can define anatomical borders between cortical regions or subcortical nuclei in the living human brain for the first time.  ...  Diffusion imaging can be used to estimate the routes taken by fiber pathways connecting different regions of the living brain.  ...  Although functional connectivity is presumed to depend on structural connectivity, investigators assume that basic aspects of structural connectivity, dependent on the presence of axons running between  ... 
doi:10.1146/annurev.neuro.051508.135735 pmid:19400718 fatcat:xbkokhq3b5glrl4vxn6z76w6om

Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation [chapter]

Bernard Ng, Gael Varoquaux, Jean Baptiste Poline, Bertrand Thirion
2013 Lecture Notes in Computer Science  
In this paper, we show on a cohort of 60 subjects that conventional functional connectivity (FC) estimates based on Pearson's correlation and anatomical connectivity (AC) estimates based on fiber counts  ...  There is a recent trend towards integrating resting state functional magnetic resonance imaging (RS-fMRI) and diffusion MRI (dMRI) for brain connectivity estimation, as motivated by how estimates from  ...  This manuscript reflects only the authors' views and the Community is not liable for any use that may be made of the information contained therein.  ... 
doi:10.1007/978-3-642-40760-4_81 fatcat:jfrixabmenebxbuuhrnl4pjofu

Structural human brain networks

Flavio Dell'Acqua, Marco Catani
2012 Current Opinion in Neurology  
Here we focus on some of the most exciting recent advancements in diffusion tractography and critically highlight their advantages and limitations.  ...  Recent findings A flourishing of diffusion methods and models are bringing new solutions to the well known limitations of classical tractography based on the tensor model.  ...  Acknowledgements We would like to thank other members of the NatBrain-Lab ( for helpful advice on the manuscript. This work was supported by Guy's and St Thomas Charity.  ... 
doi:10.1097/wco.0b013e328355d544 pmid:22766720 fatcat:zmq7u7cwifdbfhsy4jcht7esam

The structural and functional connectivity of the posterior cingulate cortex: Comparison between deterministic and probabilistic tractography for the investigation of structure–function relationships

Sakh Khalsa, Stephen D. Mayhew, Magdalena Chechlacz, Manny Bagary, Andrew P. Bagshaw
2014 NeuroImage  
The direct comparison of FC and SC indicated that pairs of nodes with stronger structural connections also had stronger functional connectivity, and that this was maintained with both tractography approaches  ...  Finally, we observed a significant correlation between SC and FC for both tractography approaches when data were pooled across PCC-lIPL, PCC-rIPL and PCC-mPFC connections, and for some individual paired  ...  Acknowledgments This work was supported by the UK Engineering and Physical Sciences Research Council (grant number EP/J002909/1).  ... 
doi:10.1016/j.neuroimage.2013.12.022 pmid:24365673 fatcat:4qklm55dyvhk7dwsutoet54af4

A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference [chapter]

Bernard Ng, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion
2012 Lecture Notes in Computer Science  
Casting functional connectivity estimation as a sparse inverse covariance learning problem, we adapt the level of sparse penalization on each connection based on its anatomical capacity for functional  ...  For validation, we showed on real data collected from a cohort of 60 subjects that additionally modeling anatomical capacity significantly increases subject consistency in the detected connection patterns  ...  To integrate anatomical information into functional connectivity estimation, we adapt the degree of sparse penalization on each functional link based on its anatomical capacity.  ... 
doi:10.1007/978-3-642-33415-3_87 fatcat:byrnkq7kjjh4ddxfhukccnjrmy

Quantitative assessment of a framework for creating anatomical brain networks via global tractography

Longchuan Li, James K. Rilling, Todd M. Preuss, Matthew F. Glasser, Frederick W. Damen, Xiaoping Hu
2012 NeuroImage  
Interregional connections of the brain measured with diffusion tractography can be used to infer valuable information regarding both brain structure and function.  ...  Our results demonstrated that global tractography accurately characterized the phantom network in terms of graph-theoretic measures, and significantly outperformed the local tracking approach.  ...  Acknowledgments We thank the reviewers for their valuable suggestions, which significantly improved the quality of the manuscript. We thank Dr.  ... 
doi:10.1016/j.neuroimage.2012.03.071 pmid:22484406 pmcid:PMC3407566 fatcat:276hxq4rj5fj7hbiorot5huxim

Concurrent white matter bundles and grey matter networks using independent component analysis

Jonathan O'Muircheartaigh, Saad Jbabdi
2018 NeuroImage  
Finally, we investigate correspondences between tractography-based brain components and several canonical resting-state networks derived from functional MRI.  ...  Developments in non-invasive diffusion MRI tractography techniques have permitted the investigation of both the anatomy of white matter pathways connecting grey matter regions and their structural integrity  ...  There are many approaches for clustering functional regions based on connectivity profiles, both data-driven and based on anatomical prior information (Behrens and Johansen-Berg, 2005) .  ... 
doi:10.1016/j.neuroimage.2017.05.012 pmid:28514668 pmcid:PMC6318261 fatcat:xeq3n3rzwndwllea2dxd2qelhi

Perisylvian language networks of the human brain

Marco Catani, Derek K. Jones, Dominic H. ffytche
2004 Annals of Neurology  
Early anatomically based models of language consisted of an arcuate tract connecting Broca's speech and Wernicke's comprehension centers; a lesion of the tract resulted in conduction aphasia.  ...  However, the heterogeneous clinical presentations of conduction aphasia suggest a greater complexity of perisylvian anatomical connections than allowed for in the classical anatomical model.  ...  approach serves to minimize the effect of this confound).  ... 
doi:10.1002/ana.20319 pmid:15597383 fatcat:yoqzldtco5dkhj3zcf6l5zhefq

A Framework to Compare Tractography Algorithms Based on Their Performance in Predicting Functional Networks [chapter]

Fani Deligianni, Chris A. Clark, Jonathan D. Clayden
2013 Lecture Notes in Computer Science  
Understanding the link between brain function and structure is of paramount importance in neuroimaging and psychology.  ...  We use a model selection framework based on sparse canonical correlation analysis and an appropriate metric to evaluate the similarity between the predicted and the observed functional networks.  ...  However, [11] relies on structural networks to regularise the estimation of functional connectivity based on the assumption that a functional connection between two regions only exists when there is  ... 
doi:10.1007/978-3-319-02126-3_21 fatcat:z3puwni26va5jl5q6cr4mya7ai

Comparison between diffusion MRI tractography and histological tract-tracing of cortico-cortical structural connectivity in the ferret brain

Celine Delettre, Arnaud Messé, Leigh-Anne Dell, Ophélie Foubet, Katja Heuer, Benoit Larrat, Sebastien Meriaux, Jean-Francois Mangin, Isabel Reillo, Camino de Juan Romero, Victor Borrell, Roberto Toro (+1 others)
2019 Network Neuroscience  
We also investigated the influence of several state-of-the-art tractography algorithms on this match to ground truth connectivity data.  ...  Here, we explored the ability of diffusion MRI tractography to match invasive anatomical tract-tracing connectivity data of the ferret brain.  ...  Few explorations have been made on the ability of the different tractography approaches available to estimate structural connectivity weights (Gao et al., 2013) .  ... 
doi:10.1162/netn_a_00098 pmid:31637337 pmcid:PMC6777980 fatcat:gmdeum7unzhmlhq3rdqdua4rci
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