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Fast Eigenvector Centrality Mapping of Voxel-Wise Connectivity in Functional Magnetic Resonance Imaging: Implementation, Validation, and Interpretation

Alle Meije Wink, Jan C. de Munck, Ysbrand D. van der Werf, Odile A. van den Heuvel, Frederik Barkhof
2012 Brain Connectivity  
The main obstacle for widespread use of ECM in functional magnetic resonance imaging (fMRI) is the cost of computing and storing the connectivity matrix.  ...  Eigenvector centrality mapping (ECM) has recently emerged as a measure to spatially characterize connectivity in functional brain imaging by attributing network properties to voxels.  ...  Acknowledgments This research was funded by the Neuroscience Campus Amsterdam and the Department of Radiology, VU University Medical Center. FAST EIGENVECTOR CENTRALITY MAPPING (FECM)  ... 
doi:10.1089/brain.2012.0087 pmid:23016836 fatcat:4u3wfakogjgx7orlu4trafvj54

Eigenmaps of dynamic functional connectivity: Voxel-level dominant patterns through eigenvector centrality

Maria Giulia Preti, Dimitri Van De Ville
2016 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)  
Dynamic functional connectivity (dFC) based on resting-state functional magnetic resonance imaging (fMRI) explores the ongoing temporal configuration of brain networks.  ...  To overcome the limitations due to the huge size of voxelwise connectivity matrices, we adopted the fast eigenvector centrality method with some adaptations to make it suitable for the dFC framework.  ...  INTRODUCTION Dynamic functional connectivity (dFC) based on resting-state functional magnetic resonance imaging (fMRI) aims at ex- ploring the configuration of brain networks and their rearrangement over  ... 
doi:10.1109/isbi.2016.7493431 dblp:conf/isbi/PretiV16 fatcat:tggy7mjv2ffgvaxws32kbul3le

Imaging human connectomes at the macroscale

R Cameron Craddock, Saad Jbabdi, Chao-Gan Yan, Joshua T Vogelstein, F Xavier Castellanos, Adriana Di Martino, Clare Kelly, Keith Heberlein, Stan Colcombe, Michael P Milham
2013 Nature Methods  
This review provides a survey of magnetic resonance imaging-based measurements of functional and structural connectivity.  ...  At macroscopic scales, the human connectome is composed of anatomically distinct brain areas, the structural pathways connecting them, and their functional interactions.  ...  Thanks to Daniel Lurie for his assistance in the preparation of the manuscript and references, as well as to Zarrar Shehzad, Zhen Yang and Sebastian Urchs for their helpful comments.  ... 
doi:10.1038/nmeth.2482 pmid:23722212 pmcid:PMC4096321 fatcat:ahp5n642fzahpdjl2nke67dwxq

Fluorescence microscopy tensor imaging representations for large-scale dataset analysis

Claudio Vinegoni, Paolo Fumene Feruglio, Gabriel Courties, Stephen Schmidt, Maarten Hulsmans, Sungon Lee, Rui Wang, David Sosnovik, Matthias Nahrendorf, Ralph Weissleder
2020 Scientific Reports  
Recent advances in optical imaging technologies and chemical tissue clearing have facilitated the acquisition of whole-organ imaging datasets, but automated tools for their quantitative analysis and visualization  ...  We have here developed a visualization technique capable of providing whole-organ tensor imaging representations of local regional descriptors based on fluorescence data acquisition.  ...  Ralston and S. Stapleton for helpful discussions. We thank M. Pryskatch for assistance in animal preparation.  ... 
doi:10.1038/s41598-020-62233-2 pmid:32221334 pmcid:PMC7101442 fatcat:hjlognay3vaz7ajlmazxq32yke

Diffusion tensor imaging and white matter abnormalities in patients with disorders of consciousness

Carlo Cavaliere, Marco Aiello, Carol Di Perri, Davinia Fernandez-Espejo, Adrian M. Owen, Andrea Soddu
2015 Frontiers in Human Neuroscience  
We conclude by considering some of the remaining challenges to overcome, the existing knowledge gaps and the potential role of neuroimaging in understanding the pathogenesis and clinical features of disorders  ...  In this review we focus on white matter alterations measured using Diffusion Tensor Imaging on patients with consciousness disorders, examining the most common diffusion imaging acquisition protocols and  ...  MRI techniques such as functional magnetic resonance imaging (fMRI), and sometimes even the assessment of clinical scores (Tshibanda et al., 2009) .  ... 
doi:10.3389/fnhum.2014.01028 pmid:25610388 pmcid:PMC4285098 fatcat:mtt2vgbal5fvdojv3qh7efcki4

Fine-Scale Patterns Driving Dynamic Functional Connectivity Provide Meaningful Brain Parcellations

Maria Giulia Preti, Dimitri Van De Ville
2018 Zenodo  
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017  ...  INTRODUCTION Functional connectivity (FC) based on resting-state (RS) functional magnetic resonance imaging (fMRI) allows to investigate networks underlying fluctuations of spontaneous brain activity  ...  In this work, we build upon the concept of eigenvector centrality [15, 20] to integrate it into a dynamic analysis, and yield a data-driven voxel-wise estimation of dFC.  ... 
doi:10.5281/zenodo.1159676 fatcat:qv7bnniionesznrdi44eewe7we

Segmentation of Striatal Brain Structures from High Resolution PET Images

Ricardo J. P. C. Farinha, Ulla Ruotsalainen, Jussi Hirvonen, Lauri Tuominen, Jarmo Hietala, José M. Fonseca, Jussi Tohka
2009 International Journal of Biomedical Imaging  
The method was experimentally validated with synthetic and real image data.  ...  in brain research and drug development.  ...  Magnetic resonance imaging (MRI) imaging measures the proton or water density.  ... 
doi:10.1155/2009/156234 pmid:19911061 pmcid:PMC2773407 fatcat:l442uoqiszf5vnqrqzizjffsl4

DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning

Qiyuan Tian, Berkin Bilgic, Qiuyun Fan, Congyu Liao, Chanon Ngamsombat, Yuxin Hu, Thomas Witzel, Kawin Setsompop, Jonathan R. Polimeni, Susie Y. Huang
2020 NeuroImage  
Diffusion tensor magnetic resonance imaging (DTI) is unsurpassed in its ability to map tissue microstructure and structural connectivity in the living human brain.  ...  In this work we present a new processing framework for DTI entitled DeepDTI that minimizes the data requirement of DTI to six diffusion-weighted images (DWIs) required by conventional voxel-wise fitting  ...  Introduction Noninvasive mapping of tissue microstructure and structural connectivity in the living human brain by diffusion magnetic resonance imaging (MRI) offers a unique window into the neural basis  ... 
doi:10.1016/j.neuroimage.2020.117017 pmid:32504817 pmcid:PMC7646449 fatcat:rik2oajbnnd3ljkn4uf7zvwjum

Mapping Brain Anatomical Connectivity Using Diffusion Magnetic Resonance Imaging: Structural connectivity of the human brain

Junning Li, Yonggang Shi, Arthur W. Toga
2016 IEEE Signal Processing Magazine  
One of the primarily promoted technologies is diffusion Magnetic Resonance (dMR) imaging which non-invasively maps brain connectivity at a macroscopic scale by measuring water molecules' anisotropic diffusion  ...  Along with an overview of existing technologies, we also attempt to provide an outlook of future challenges in building a comprehensive connectivity map that integrates genetic and functional information  ...  FOD Image Processing Reconstruction of FODs ends at the stage of extracting voxel-wise fiber information from dMR images.  ... 
doi:10.1109/msp.2015.2510024 pmid:27212872 pmcid:PMC4869891 fatcat:nkfwwsp6cnatlmeaah2stye2n4

3D multiscale vessel enhancement based centerline extraction of blood vessels

Rahul P. Kumar, Fritz Albregtsen, Martin Reimers, Thomas Langø, Bjørn Edwin, Ole Jakob Elle, Sebastien Ourselin, David R. Haynor
2013 Medical Imaging 2013: Image Processing  
In this thesis, we have developed a couple of methods for fast and user-friendly blood vessel segmentation.  ...  The results have shown that the methods work in just seconds for images related to catheter navigation and in a couple of minutes for liver resection planning images.  ...  All the medical images (Image5-8) shown in the first column are contrast enhanced magnetic resonance angiogram images.  ... 
doi:10.1117/12.2006779 dblp:conf/miip/KumarARLEE13 fatcat:cjh6enhjf5dffcmyslrwareh2e

A geometric flow for segmenting vasculature in proton-density weighted MRI

2008 Medical Image Analysis  
Modern neurosurgery takes advantage of magnetic resonance images (MRI) of a patient's cerebral anatomy and vasculature for planning before surgery and guidance during the procedure.  ...  We carry out a qualitative validation of the approach on PD, MR angiography and Gadolinium enhanced MRI volumes and suggest a new way to visualize the segmentations in 2D with masked projections.  ...  Acknowledgments This work was supported by grants from NSERC, FQRNT, CFI and CIHR. We thank Bruce Pike, Simon Drouin and Ingerid Reinertsen for helpful discussions.  ... 
doi:10.1016/ pmid:18375175 fatcat:2efmotwkf5frdgjfd5prj42qja

Current Status and Future Perspectives of Magnetic Resonance High-Field Imaging: A Summary

Vivek Prabhakaran, Veena A. Nair, Benjamin P. Austin, Christian La, Thomas A. Gallagher, Yijing Wu, Donald G. McLaren, Guofan Xu, Patrick Turski, Howard Rowley
2012 Neuroimaging clinics of North America  
There are several magnetic resonance (MR) imaging techniques that benefit from high-field MR imaging.  ...  This article features a range of novel techniques that are currently being used clinically or will be used in the future for clinical purposes as they gain popularity.  ...  Acknowledgments This work was supported by Grant No. 1RC1MH090912-01, KL2 RR025012, R21 EB009441, 5 T32 HL007936-10, from the National Institutes of Health.  ... 
doi:10.1016/j.nic.2012.02.012 pmid:22548938 pmcid:PMC3586777 fatcat:aagwrp6ikfcu7dwekldomw3scy

Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review [article]

Jose Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Martí, Xavier Lladó
2018 arXiv   pre-print
We present an extensive literature review of CNN techniques applied in brain magnetic resonance imaging (MRI) analysis, focusing on the architectures, pre-processing, data-preparation and post-processing  ...  These methods have also been utilised in medical image analysis domain for lesion segmentation, anatomical segmentation and classification.  ...  Acknowledgments Jose Bernal and Kaisar Kushibar hold FI-DGR2017 grants from the Catalan Government with reference numbers 2017FI B00476 and 2017FI B00372, respectively. Daniel S.  ... 
arXiv:1712.03747v3 fatcat:sq5nphm645hkliljzs74py4htm

Diffusion Tensor Imaging and Its Application to Traumatic Brain Injury: Basic Principles and Recent Advances

Ping-Hong Yeh, Terrence R. Oakes, Gerard Riedy
2012 Open Journal of Medical Imaging  
Diffusion weighted imaging is an advanced magnetic resonance imaging (MRI) technique that is sensitive to the movement of water molecules, providing additional information on the micro-structural arrangement  ...  This review focuses on the theoretical basis and applied advanced techniques of diffusion weighted imaging, their limitations and applications, and future directions in the application to TBI.  ...  Probabilistic methods produce maps of "connectivity", which give the probability of this voxel to be connected to a reference position for every voxel of a regular 3D grid.  ... 
doi:10.4236/ojmi.2012.24025 fatcat:h55evmhkkndapaczqmptddpguu

Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks

Susan Whitfield-Gabrieli, Alfonso Nieto-Castanon
2012 Brain Connectivity  
standard functional connectivity magnetic resonance imaging (fcMRI) measures, and second-level random-effect analysis for resting state as well as task-related data.  ...  analysis for multiple ROI sources, graph theoretical analysis, and novel voxel-to-voxel analysis of functional connectivity.  ...  Author Disclosure Statement The authors of the study have no conflict of interest to declare.  ... 
doi:10.1089/brain.2012.0073 pmid:22642651 fatcat:cynvmokadjhf7eyqa4w32r7da4
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