Integration of FMRI and probabilistic tractography for cerebral network analysis

G.J.M. Parker; H.A. Haroon; D.M. Morris; M.A. Lambon-Ralph; K.V. Embleton

Integration of FMRI and probabilistic tractography for cerebral network analysis

G.J.M. Parker, H.A. Haroon, D.M. Morris, M.A. Lambon-Ralph, K.V. Embleton

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

We present a data acquisition and analysis methodology for generating anatomical connectivity matrices using fMRI and diffusion MRI tractography. We describe a protocol for distortion-free, high spatial resolution diffusion MRI suitable for probabilistic tractography in the presence of complex fibre architecture and distortion-free, geometrically-matched fMRI. We then demonstrate that probabilistic tractography may be initiated from a set of functionally-defined regions to generate a matrix representation of the anatomical substrate of functional networks.

Original language	English
Title of host publication	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Pages	359-362
Number of pages	4
Publication status	Published - 2006
Event	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, Virginia, United States Duration: 6 Apr 2006 → 9 Apr 2006

Conference

Conference	2006 3rd IEEE International Symposium on Biomedical Imaging
Country/Territory	United States
City	Arlington, Virginia
Period	6/04/06 → 9/04/06

Cite this

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title = "Integration of FMRI and probabilistic tractography for cerebral network analysis",

abstract = "We present a data acquisition and analysis methodology for generating anatomical connectivity matrices using fMRI and diffusion MRI tractography. We describe a protocol for distortion-free, high spatial resolution diffusion MRI suitable for probabilistic tractography in the presence of complex fibre architecture and distortion-free, geometrically-matched fMRI. We then demonstrate that probabilistic tractography may be initiated from a set of functionally-defined regions to generate a matrix representation of the anatomical substrate of functional networks. ",

author = "G.J.M. Parker and H.A. Haroon and D.M. Morris and M.A. Lambon-Ralph and K.V. Embleton",

year = "2006",

language = "English",

isbn = "9780780395770",

pages = "359--362",

booktitle = "2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings",

note = "2006 3rd IEEE International Symposium on Biomedical Imaging : From Nano to Macro ; Conference date: 06-04-2006 Through 09-04-2006",

}

Parker, GJM, Haroon, HA, Morris, DM, Lambon-Ralph, MA & Embleton, KV 2006, Integration of FMRI and probabilistic tractography for cerebral network analysis. in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. pp. 359-362, 2006 3rd IEEE International Symposium on Biomedical Imaging, Arlington, Virginia, United States, 6/04/06.

TY - GEN

T1 - Integration of FMRI and probabilistic tractography for cerebral network analysis

AU - Parker, G.J.M.

AU - Haroon, H.A.

AU - Morris, D.M.

AU - Lambon-Ralph, M.A.

AU - Embleton, K.V.

PY - 2006

Y1 - 2006

N2 - We present a data acquisition and analysis methodology for generating anatomical connectivity matrices using fMRI and diffusion MRI tractography. We describe a protocol for distortion-free, high spatial resolution diffusion MRI suitable for probabilistic tractography in the presence of complex fibre architecture and distortion-free, geometrically-matched fMRI. We then demonstrate that probabilistic tractography may be initiated from a set of functionally-defined regions to generate a matrix representation of the anatomical substrate of functional networks.

AB - We present a data acquisition and analysis methodology for generating anatomical connectivity matrices using fMRI and diffusion MRI tractography. We describe a protocol for distortion-free, high spatial resolution diffusion MRI suitable for probabilistic tractography in the presence of complex fibre architecture and distortion-free, geometrically-matched fMRI. We then demonstrate that probabilistic tractography may be initiated from a set of functionally-defined regions to generate a matrix representation of the anatomical substrate of functional networks.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-33750948059&partnerID=MN8TOARS

M3 - Conference contribution

SN - 9780780395770

SP - 359

EP - 362

BT - 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

T2 - 2006 3rd IEEE International Symposium on Biomedical Imaging

Y2 - 6 April 2006 through 9 April 2006

ER -

Integration of FMRI and probabilistic tractography for cerebral network analysis

Abstract

Conference

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