Modelling white matter in gyral blades as a continuous vector field.
Modelling white matter in gyral blades as a continuous vector field.
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DOI:
10.1016/j.neuroimage.2020.117693
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发表时间:
2021-02-15
期刊:
影响因子:
5.7
通讯作者:
Jbabdi S
中科院分区:
文献类型:
--
作者:
Cottaar M;Bastiani M;Boddu N;Glasser MF;Haber S;van Essen DC;Sotiropoulos SN;Jbabdi S
Many brain imaging studies aim to measure structural connectivity with diffusion tractography. However, biases in tractography data, particularly near the boundary between white matter and cortical grey matter can limit the accuracy of such studies. When seeding from the white matter, streamlines tend to travel parallel to the convoluted cortical surface, largely avoiding sulcal fundi and terminating preferentially on gyral crowns. When seeding from the cortical grey matter, streamlines generally run near the cortical surface until reaching deep white matter. These so-called “gyral biases” limit the accuracy and effective resolution of cortical structural connectivity profiles estimated by tractography algorithms, and they do not reflect the expected distributions of axonal densities seen in invasive tracer studies or stains of myelinated fibres. We propose an algorithm that concurrently models fibre density and orientation using a divergence-free vector field within gyral blades to encourage an anatomically-justified streamline density distribution along the cortical white/grey-matter boundary while maintaining alignment with the diffusion MRI estimated fibre orientations. Using in vivo data from the Human Connectome Project, we show that this algorithm reduces tractography biases. We compare the structural connectomes to functional connectomes from resting-state fMRI, showing that our model improves cross-modal agreement. Finally, we find that after parcellation the changes in the structural connectome are very minor with slightly improved interhemispheric connections (i.e, more homotopic connectivity) and slightly worse intrahemi-spheric connections when compared to tracers.
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DOI:
10.1093/cercor/bhs270
发表时间:
2014-01
期刊:
Cerebral cortex (New York, N.Y. : 1991)
影响因子:
--
作者:
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Kennedy H
DOI:
10.1093/cercor/bhw157
发表时间:
2016-08
期刊:
Cerebral cortex (New York, N.Y. : 1991)
影响因子:
--
作者:
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通讯作者:
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影响因子:
5.7
作者:
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Sotiropoulos SN
DOI:
10.1073/pnas.0403743101
发表时间:
2004-09-07
影响因子:
11.1
作者:
Johansen-Berg, H;Behrens, TEJ;Matthews, PM
通讯作者:
Matthews, PM
影响因子:
25
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Glasser MF;Smith SM;Marcus DS;Andersson JL;Auerbach EJ;Behrens TE;Coalson TS;Harms MP;Jenkinson M;Moeller S;Robinson EC;Sotiropoulos SN;Xu J;Yacoub E;Ugurbil K;Van Essen DC
通讯作者:
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