Paquola was funded through a postdoctoral fellowship of the Transforming Autism Care Consortium (TACC). The qT1 dataset was collected locally and will be made available upon publication at github ( ).įunding: Dr. The magnetisation transfer dataset is available on github ( ). T1w/T2w datasets are from the Human Connectome Project ( ). The work is made available under the Creative Commons CC0 public domain dedication.ĭata Availability: All histological data are available from the BigBrain database ( ).
#Human brain mapping 2019 free
This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. Received: DecemAccepted: Published: May 20, 2019 PLoS Biol 17(5):Īcademic Editor: Henry Kennedy, Inserm U1208, FRANCE (2019) Microstructural and functional gradients are increasingly dissociated in transmodal cortices. Our findings demonstrate a relative decoupling of macroscale functional from microstructural gradients in transmodal regions, which likely contributes to the flexible role these regions play in human cognition.Ĭitation: Paquola C, Vos De Wael R, Wagstyl K, Bethlehem RAI, Hong S-J, Seidlitz J, et al. Meta-analytic decoding of these topographic dissociations highlighted involvement in higher-level aspects of cognition, such as cognitive control and social cognition. Importantly, while microstructural and functional gradients described a similar hierarchy, they became increasingly dissociated in transmodal default mode and fronto–parietal networks. This novel method identified a system-level gradient of microstructural differentiation traversing from primary sensory to limbic regions that followed shifts in laminar differentiation and cytoarchitectural complexity. Our approach was initially formulated based on an ultra-high–resolution 3D histological reconstruction of an entire human brain and then translated to myelin-sensitive magnetic resonance imaging (MRI) data in a large cohort of healthy adults. To overcome this barrier, we developed a novel approach to model the similarity of microstructural profiles sampled in the direction of cortical columns. While nonhuman primate research has demonstrated a close structure–function correspondence, the relationship between microstructure and function remains poorly understood in humans, in part because of the reliance on post mortem analyses, which cannot be directly related to functional data. While the role of cortical microstructure in organising neural function is well established, it remains unclear how structural constraints can give rise to more flexible elements of cognition.