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Mapping the principal gradient onto the corpus callosum
被引:29
作者:
Friedrich, Patrick
[1
,2
]
Forkel, Stephanie J.
[1
,2
,3
]
de Schotten, Michel Thiebaut
[1
,2
]
机构:
[1] Sorbonne Univ, Brain Connect & Behav Lab, Paris, France
[2] Univ Bordeaux, IMN, CNRS, CEA,UMR 5293,Grp Imagerie Neurofonct, F-33000 Bordeaux, France
[3] Kings Coll London, Ctr Neuroimaging Sci, Inst Psychiat Psychol & Neurosci, Dept Neuroimaging, London, England
来源:
基金:
欧洲研究理事会;
关键词:
INTERHEMISPHERIC FUNCTIONAL CONNECTIVITY;
DEFAULT-MODE NETWORK;
WHITE-MATTER;
COMPLETE SECTION;
CEREBRAL-CORTEX;
BRAIN;
NEGLECT;
PARCELLATION;
ASSOCIATION;
MICROSTRUCTURE;
D O I:
10.1016/j.neuroimage.2020.117317
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
Gradients capture some of the variance of the resting-state functional magnetic resonance imaging (rsfMRI) signal. Amongst these, the principal gradient depicts a functional processing hierarchy that spans from sensory-motor cortices to regions of the default-mode network. While the cortex has been well characterised in terms of gradients little is known about its underlying white matter. For instance, comprehensive mapping of the principal gradient on the largest white matter tract, the corpus callosum, is still missing. Here, we mapped the principal gradient onto the midsection of the corpus callosum using the 7T human connectome project dataset. We further explored how quantitative measures and variability in callosal midsection connectivity relate to the principal gradient values. In so doing, we demonstrated that the extreme values of the principal gradient are located within the callosal genu and the posterior body, have lower connectivity variability but a larger spatial extent along the midsection of the corpus callosum than mid-range values. Our results shed light on the relationship between the brain's functional hierarchy and the corpus callosum. We further speculate about how these results may bridge the gap between functional hierarchy, brain asymmetries, and evolution.
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页数:7
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