کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6026474 | 1580903 | 2015 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The effects of SIFT on the reproducibility and biological accuracy of the structural connectome
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کلمات کلیدی
SIFTICCACTFODTDIDWIFOVConnectomicsCOV - THETractography - تراکتوگرافی anatomically-constrained tractography - تراکتوگرافی محدود آناتومیکی محدودtrack density imaging - تراکم تصویر برداریdiffusion-weighted imaging - تصویربرداری با وضوح تصویربرداریDiffusion MRI - توزیع MRIfibre orientation distribution - توزیع جهت گیری فیبرStructural connectome - سازه های اتصالCoefficient of Variation - ضریب تغییرIntra-class correlation coefficient - ضریب همبستگی درونی کلاسFibre-tracking - فیبر ردیابیField of view - میدان دید
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Diffusion MRI streamlines tractography is increasingly being used to characterise and assess the structural connectome of the human brain. However, issues pertaining to quantification of structural connectivity using streamlines reconstructions are well-established in the field, and therefore the validity of any conclusions that may be drawn from these analyses remains ambiguous. We recently proposed a post-processing method entitled “SIFT: Spherical-deconvolution Informed Filtering of Tractograms” as a mechanism for reducing the biases in quantitative measures of connectivity introduced by the streamlines reconstruction method. Here, we demonstrate the advantage of this approach in the context of connectomics in three steps. Firstly, we carefully consider the model imposed by the SIFT method, and the implications this has for connectivity quantification. Secondly, we investigate the effects of SIFT on the reproducibility of structural connectome construction. Thirdly, we compare quantitative measures extracted from structural connectomes derived from streamlines tractography, with and without the application of SIFT, to published estimates drawn from post-mortem brain dissection. The combination of these sources of evidence demonstrates the important role the SIFT methodology has for the robust quantification of structural connectivity of the brain using diffusion MRI.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 104, 1 January 2015, Pages 253-265
Journal: NeuroImage - Volume 104, 1 January 2015, Pages 253-265
نویسندگان
Robert E. Smith, Jacques-Donald Tournier, Fernando Calamante, Alan Connelly,