Multi-Granularity Whole-Brain Segmentation Based Functional Network Analysis Using Resting-State fMRI

Yujing Gong, Huijun Wu, Jingyuan Li, Nizhuan Wang, Hanjun Liu, Xiaoying Tang (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


In this work, we systematically analyzed the effects of various nodal definitions, as determined by a multi-granularity whole-brain segmentation scheme, upon the topological architecture of the human brain functional network using the resting-state functional magnetic resonance imaging data of 19 healthy, young subjects. A number of functional networks were created with their nodes defined according to two types of anatomical definitions (Type I and Type II) each of which consists of five granularity levels of whole brain segmentations with each level linked through ontology-based, hierarchical, structural relationships. Topological properties were computed for each network and then compared across levels within the same segmentation type as well as between Type I and Type II. Certain network architecture patterns were observed in our study: (1) As the granularity changes, the absolute values of each node's nodal degree and nodal betweenness change accordingly but the relative values within a single network do not change considerably; (2) The average nodal degree is generally affected by the sparsity level of the network whereas the other topological properties are more specifically affected by the nodal definitions; (3) Within the same ontology relationship type, as the granularity decreases, the network becomes more efficient at information propagation; (4) The small-worldness that we observe is an intrinsic property of the brain's resting-state functional network, independent of the ontology type and the granularity level. Furthermore, we validated the aforementioned conclusions and measured the reproducibility of this multi-granularity network analysis pipeline using another dataset of 49 healthy young subjects that had been scanned twice.

Original languageEnglish
Article number942
JournalFrontiers in Neuroscience
Publication statusPublished - 12 Dec 2018
Externally publishedYes


  • brain network
  • fMRI
  • multi-atlas segmentation
  • multi-granularity
  • ontology relationship
  • resting-state
  • small-worldness

ASJC Scopus subject areas

  • General Neuroscience


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