Multiscale examination of cytoarchitectonic similarity and human brain connectivity

The human brain comprises an efficient communication network, with its macroscale connectome organization argued to be directly associated with the underlying microscale organization of the cortex. Here, we further examine this link in the human brain cortex by using the ultrahigh-resolution BigBrai...

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Main Authors: Yongbin Wei, Lianne H. Scholtens, Elise Turk, Martijn P. van den Heuvel
Format: Article
Language:English
Published: The MIT Press 2018-11-01
Series:Network Neuroscience
Subjects:
Online Access:https://www.mitpressjournals.org/doi/pdf/10.1162/netn_a_00057
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spelling doaj-11e537fd7c194e98bedf00804015dcc12020-11-25T02:17:26ZengThe MIT PressNetwork Neuroscience2472-17512018-11-013112413710.1162/netn_a_00057netn_a_00057Multiscale examination of cytoarchitectonic similarity and human brain connectivityYongbin Wei0Lianne H. Scholtens1Elise Turk2Martijn P. van den Heuvel3Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, The NetherlandsDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, The NetherlandsBrain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, The NetherlandsDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, The NetherlandsThe human brain comprises an efficient communication network, with its macroscale connectome organization argued to be directly associated with the underlying microscale organization of the cortex. Here, we further examine this link in the human brain cortex by using the ultrahigh-resolution BigBrain dataset; 11,660 BigBrain profiles of laminar cell structure were extracted from the BigBrain data and mapped to the MRI based Desikan–Killiany atlas used for macroscale connectome reconstruction. Macroscale brain connectivity was reconstructed based on the diffusion-weighted imaging dataset from the Human Connectome Project and cross-correlated to the similarity of laminar profiles. We showed that the BigBrain profile similarity between interconnected cortical regions was significantly higher than those between nonconnected regions. The pattern of BigBrain profile similarity across the entire cortex was also found to be strongly correlated with the pattern of cortico-cortical connectivity at the macroscale. Our findings suggest that cortical regions with higher similarity in the laminar cytoarchitectonic patterns have a higher chance of being connected, extending the evidence for the linkage between macroscale connectome organization and microscale cytoarchitecture. The human brain connectome organization has been suggested to associate with cytoarchitecture similarity. Here, we utilize the state-of-the-art ultrahigh-resolution BigBrain dataset and diffusion-weighted imaging dataset to examine this association. Our results show that cortical regions with higher cytoarchitecture similarity are more likely to be connected, as well as connected by stronger white matter tracts. This work further extends our understanding of the interaction between macroscale cortico-cortical connectivity organization and microscale cortical cytoarchitecture.https://www.mitpressjournals.org/doi/pdf/10.1162/netn_a_00057ConnectivityNetworkGraph theoryBigBrainCytoarchitectonic differentiationStructural type
collection DOAJ
language English
format Article
sources DOAJ
author Yongbin Wei
Lianne H. Scholtens
Elise Turk
Martijn P. van den Heuvel
spellingShingle Yongbin Wei
Lianne H. Scholtens
Elise Turk
Martijn P. van den Heuvel
Multiscale examination of cytoarchitectonic similarity and human brain connectivity
Network Neuroscience
Connectivity
Network
Graph theory
BigBrain
Cytoarchitectonic differentiation
Structural type
author_facet Yongbin Wei
Lianne H. Scholtens
Elise Turk
Martijn P. van den Heuvel
author_sort Yongbin Wei
title Multiscale examination of cytoarchitectonic similarity and human brain connectivity
title_short Multiscale examination of cytoarchitectonic similarity and human brain connectivity
title_full Multiscale examination of cytoarchitectonic similarity and human brain connectivity
title_fullStr Multiscale examination of cytoarchitectonic similarity and human brain connectivity
title_full_unstemmed Multiscale examination of cytoarchitectonic similarity and human brain connectivity
title_sort multiscale examination of cytoarchitectonic similarity and human brain connectivity
publisher The MIT Press
series Network Neuroscience
issn 2472-1751
publishDate 2018-11-01
description The human brain comprises an efficient communication network, with its macroscale connectome organization argued to be directly associated with the underlying microscale organization of the cortex. Here, we further examine this link in the human brain cortex by using the ultrahigh-resolution BigBrain dataset; 11,660 BigBrain profiles of laminar cell structure were extracted from the BigBrain data and mapped to the MRI based Desikan–Killiany atlas used for macroscale connectome reconstruction. Macroscale brain connectivity was reconstructed based on the diffusion-weighted imaging dataset from the Human Connectome Project and cross-correlated to the similarity of laminar profiles. We showed that the BigBrain profile similarity between interconnected cortical regions was significantly higher than those between nonconnected regions. The pattern of BigBrain profile similarity across the entire cortex was also found to be strongly correlated with the pattern of cortico-cortical connectivity at the macroscale. Our findings suggest that cortical regions with higher similarity in the laminar cytoarchitectonic patterns have a higher chance of being connected, extending the evidence for the linkage between macroscale connectome organization and microscale cytoarchitecture. The human brain connectome organization has been suggested to associate with cytoarchitecture similarity. Here, we utilize the state-of-the-art ultrahigh-resolution BigBrain dataset and diffusion-weighted imaging dataset to examine this association. Our results show that cortical regions with higher cytoarchitecture similarity are more likely to be connected, as well as connected by stronger white matter tracts. This work further extends our understanding of the interaction between macroscale cortico-cortical connectivity organization and microscale cortical cytoarchitecture.
topic Connectivity
Network
Graph theory
BigBrain
Cytoarchitectonic differentiation
Structural type
url https://www.mitpressjournals.org/doi/pdf/10.1162/netn_a_00057
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