Diffusion MRI of Human Brain: Key Points and Innovations

Alessandro Arrigo MD; Alessandro Calamuneri PhD; Enricomaria Mormina MD

Diffusion MRI of Human Brain: Key Points and Innovations

Alessandro Arrigo MD * §

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Alessandro Calamuneri PhD

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Enricomaria Mormina MD

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University of Messina

Diffusion MRI of Human Brain: Key Points and Innovations

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Abstract

MRI-based investigations represent, to date, very powerful approaches for the study of the brain. One set of tools, provided by diffusion MRI, allows the non-invasive analysis of structural aspects of gray and white matter, by analyzing how water molecules diffuse within the brain. Although number of clinical studies employing diffusion MRI has grown in last years, some aspects still result poorly known or poorly understood by unfamiliar researchers and clinicians, due to their technical complexity. The main goal of the present work is to resume the main landmarks of diffusion MRI investigation and to show the current state as well as future perspectives of related methodologies.

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25 Cites in Article

Reference Format

P Basser,S Pajevic,C Pierpaoli,J Duda,A Aldroubi (2000). In vivo fiber tractography using DT-MRI data.
David Tuch (2004). Q‐ball imaging.
V Wedeen,R Wang,J Schmahmann,T Benner,W Tseng,G Dai,D Pandya,P Hagmann,H D'arceuil,A De Crespigny (2008). Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers.
J Tournier,Fernando Calamante,Alan Connelly (2007). Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution.
Eleftheria Panagiotaki,Torben Schneider,Bernard Siow,Matt Hall,Mark Lythgoe,Daniel Alexander (2012). Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison.
José Soares,Paulo Marques,Victor Alves,Nuno Sousa (2013). A hitchhiker's guide to diffusion tensor imaging.
T Behrens,H Berg,S Jbabdi,M Rushworth,M Woolrich (2007). Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?.
Shawna Farquharson,J Tournier,Fernando Calamante,Gavin Fabinyi,Michal Schneider-Kolsky,Graeme Jackson,Alan Connelly (2013). White matter fiber tractography: why we need to move beyond DTI.
J Tournier,C Yeh,F Calamante,K Cho,A Connelly,C Lin (2008). Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom data.
Andrew Alexander,Jee Lee,Mariana Lazar,Aaron Field (2007). Diffusion Tensor Imaging of the Brain.
Enricomaria Mormina,Alessandro Arrigo,Alessandro Calamuneri,Francesca Granata,Angelo Quartarone,Maria Ghilardi,Matilde Inglese,Alessandro Di Rocco,Demetrio Milardi,Giuseppe Anastasi,Michele Gaeta (2015). Diffusion tensor imaging parameters’ changes of cerebellar hemispheres in Parkinson’s disease.
Alessandro Arrigo,Enricomaria Mormina,Giuseppe Anastasi,Michele Gaeta,Alessandro Calamuneri,Angelo Quartarone,Simona De Salvo,Daniele Bruschetta,Giuseppina Rizzo,Fabio Trimarchi,Demetrio Milardi (2014). Constrained spherical deconvolution analysis of the limbic network in human, with emphasis on a direct cerebello-limbic pathway.
E Mormina,M Longo,A Arrigo,C Alafaci,F Tomasello,A Calamuneri,S Marino,M Gaeta,S Vinci,F Granata (2015). MRI Tractography of Corticospinal Tract and Arcuate Fasciculus in High-Grade Gliomas Performed by Constrained Spherical Deconvolution: Qualitative and Quantitative Analysis.
A Arrigo,E Mormina,A Calamuneri,M Gaeta,F Granata,S Marino,G Anastasi,D Milardi,A Quartarone (2015). Inter-hemispheric Claustral Connections in Human Brain: A Constrained Spherical Deconvolution-Based Study.
A Arrigo,A Calamuneri,E Mormina,M Gaeta,A Quartarone,S Marino,G Anastasi,P Aragona (2016). New Insights in the Optic Radiations Connectivity in the Human Brain.
Ben Jeurissen,Alexander Leemans,Jacques‐donald Tournier,Derek Jones,Jan Sijbers (2013). Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging.
David Raffelt,J Tournier,Stephen Rose,Gerard Ridgway,Robert Henderson,Stuart Crozier,Olivier Salvado,Alan Connelly (2012). Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images.
Derek Jones,Mara Cercignani (2010). Twenty‐five pitfalls in the analysis of diffusion MRI data.
A Seehaus,A Roebroeck,O Chiry,D-S Kim,I Ronen,H Bratzke,R Goebel,R Galuske (2013). Histological Validation of DW-MRI Tractography in Human Postmortem Tissue.
Yurui Gao,Ann Choe,Iwona Stepniewska,Xia Li,Malcolm Avison,Adam Anderson (2013). Validation of DTI Tractography-Based Measures of Primary Motor Area Connectivity in the Squirrel Monkey Brain.
Arne Seehaus,Alard Roebroeck,Matteo Bastiani,Lúcia Fonseca,Hansjürgen Bratzke,Nicolás Lori,Anna Vilanova,Rainer Goebel,Ralf Galuske (2015). Histological validation of high-resolution DTI in human post mortem tissue.
Tim Dyrby,Lise Søgaard,Geoffrey Parker,Daniel Alexander,Nanna Lind,William Baaré,Anders Hay-Schmidt,Nina Eriksen,Bente Pakkenberg,Olaf Paulson,Jacob Jelsing (2007). Validation of in vitro probabilistic tractography.
Hojjatollah Azadbakht,Laura Parkes,Hamied Haroon,Mark Augath,Nikos Logothetis,Alex De Crespigny,Helen D'arceuil,Geoffrey Parker (2015). Validation of High-Resolution Tractography Against<i>In Vivo</i>Tracing in the Macaque Visual Cortex.
Alard Roebroeck,Ralf Galuske,Elia Formisano,Oriana Chiry,Hansjürgen Bratzke,Itamar Ronen,Dae-Shik Kim,Rainer Goebel (2008). High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T.
Flavio Dell'acqua,Andrew Simmons,Steven Williams,Marco Catani (2012). Can spherical deconvolution provide more information than fiber orientations? Hindrance modulated orientational anisotropy, a true-tract specific index to characterize white matter diffusion.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Alessandro Arrigo MD, Alessandro Calamuneri PhD, Enricomaria Mormina MD. 2016. "Diffusion MRI of Human Brain: Key Points and Innovations". Global Journal of Medical Research - D: Radiology, Diagnostic GJMR-D Volume 16 (GJMR Volume 16 Issue D1).

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GJMR Volume 16 Issue D1

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Journal Specifications

Crossref Journal DOI 10.17406/gjmr

Print ISSN 0975-5888

e-ISSN 2249-4618

Keywords

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Classification

GJMR-D Classification NLMC Code: WL 348

Submission ReceivedDecember 13, 2015
Peer Review Double Blind
Handling Editor
Accepted January 2, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

September 20, 2016

Language

English

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Article Matrices

Total Score: 148

Country: Italy

Subject: Global Journal of Medical Research

Authors: Alessandro Arrigo MD, Alessandro Calamuneri PhD, Enricomaria Mormina MD (PhD/Dr. count: 1)

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