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Selective vulnerability of Rich Club brain regions is an organizational principle of structural connectivity loss in Huntington's disease.

McColgan P, Seunarine KK, Razi A, Cole JH, Gregory S, Durr A, Roos RA, Stout JC, Landwehrmeyer B, Scahill RI, Clark CA, Rees G, Tabrizi SJ, Track-HD Investigato - Brain (2015)

Bottom Line: By understanding such principles we can gain insight into the link between the cellular pathology caused by mutant huntingtin and its downstream effect at the macroscopic level.We also observed greater reductions in the connectivity of brain regions that have higher network traffic and lower clustering of neighbouring regions.This provides a potential mechanism that results in a characteristic pattern of structural connectivity loss targeting highly connected brain regions with high network traffic and low clustering of neighbouring regions.

View Article: PubMed Central - PubMed

Affiliation: 1 Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG, UK s.tabrizi@ucl.ac.uk g.rees@ucl.ac.uk.

No MeSH data available.


Related in: MedlinePlus

Summary of processing pipeline. BET = Brain Extraction Tool; CSD = constrained spherical deconvolution; DTI = diffusion tensor imaging; FA = fractional anisotropy; fODF = fibre orientation distribution function; GM = grey matter; QC = quality control; WM = white matter.
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awv259-F1: Summary of processing pipeline. BET = Brain Extraction Tool; CSD = constrained spherical deconvolution; DTI = diffusion tensor imaging; FA = fractional anisotropy; fODF = fibre orientation distribution function; GM = grey matter; QC = quality control; WM = white matter.

Mentions: Diffusion data were preprocessed as follows: first the b = 0 image was used to generate a brain mask using FSL’s brain extraction tool (Smith, 2002). This mask was then eroded by one voxel to provide a more stringent mask. Next, eddy correct was used to align the diffusion-weighted volumes to the first b = 0 image and the gradient directions updated to reflect the changes to the image orientations. Finally, data were reconstructed using diffusion tensor imaging and constrained spherical deconvolution (CSD), as implemented in MRtrix (Tournier et al., 2012). CSD was used as it provides better angular resolution than many other multiple-fibre reconstruction algorithms, while maintaining a modest computation time (Tournier et al., 2007; Seunarine and Alexander, 2013). The CSD reconstruction used a maximum spherical harmonic order of 6 for both the response and the fibre orientation distribution functions. A summary of the processing pipeline is provided in Fig. 1.Figure 1


Selective vulnerability of Rich Club brain regions is an organizational principle of structural connectivity loss in Huntington's disease.

McColgan P, Seunarine KK, Razi A, Cole JH, Gregory S, Durr A, Roos RA, Stout JC, Landwehrmeyer B, Scahill RI, Clark CA, Rees G, Tabrizi SJ, Track-HD Investigato - Brain (2015)

Summary of processing pipeline. BET = Brain Extraction Tool; CSD = constrained spherical deconvolution; DTI = diffusion tensor imaging; FA = fractional anisotropy; fODF = fibre orientation distribution function; GM = grey matter; QC = quality control; WM = white matter.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4620513&req=5

awv259-F1: Summary of processing pipeline. BET = Brain Extraction Tool; CSD = constrained spherical deconvolution; DTI = diffusion tensor imaging; FA = fractional anisotropy; fODF = fibre orientation distribution function; GM = grey matter; QC = quality control; WM = white matter.
Mentions: Diffusion data were preprocessed as follows: first the b = 0 image was used to generate a brain mask using FSL’s brain extraction tool (Smith, 2002). This mask was then eroded by one voxel to provide a more stringent mask. Next, eddy correct was used to align the diffusion-weighted volumes to the first b = 0 image and the gradient directions updated to reflect the changes to the image orientations. Finally, data were reconstructed using diffusion tensor imaging and constrained spherical deconvolution (CSD), as implemented in MRtrix (Tournier et al., 2012). CSD was used as it provides better angular resolution than many other multiple-fibre reconstruction algorithms, while maintaining a modest computation time (Tournier et al., 2007; Seunarine and Alexander, 2013). The CSD reconstruction used a maximum spherical harmonic order of 6 for both the response and the fibre orientation distribution functions. A summary of the processing pipeline is provided in Fig. 1.Figure 1

Bottom Line: By understanding such principles we can gain insight into the link between the cellular pathology caused by mutant huntingtin and its downstream effect at the macroscopic level.We also observed greater reductions in the connectivity of brain regions that have higher network traffic and lower clustering of neighbouring regions.This provides a potential mechanism that results in a characteristic pattern of structural connectivity loss targeting highly connected brain regions with high network traffic and low clustering of neighbouring regions.

View Article: PubMed Central - PubMed

Affiliation: 1 Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG, UK s.tabrizi@ucl.ac.uk g.rees@ucl.ac.uk.

No MeSH data available.


Related in: MedlinePlus