title: Parcellation-dependent small-world brain functional networks: a resting-state fMRI study.
abstract: Recent studies have demonstrated small-world properties in both functional and structural brain networks that are constructed based on different parcellation approaches. However, one fundamental but vital issue of the impact of different brain parcellation schemes on the network topological architecture remains unclear. Here, we used resting-state functional MRI (fMRI) to investigate the influences of different brain parcellation atlases on the topological organization of brain functional networks. Whole-brain fMRI data were divided into ninety and seventy regions of interest according to two predefined anatomical atlases, respectively. Brain functional networks were constructed by thresholding the correlation matrices among the parcellated regions and further analyzed using graph theoretical approaches. Both atlas-based brain functional networks were found to show robust small-world properties and truncated power-law connectivity degree distributions, which are consistent with previous brain functional and structural networks studies. However, more importantly, we found that there were significant differences in multiple topological parameters (e.g., small-worldness and degree distribution) between the two groups of brain functional networks derived from the two atlases. This study provides quantitative evidence on how the topological organization of brain networks is affected by the different parcellation strategies applied.
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
authors.forename: Jinhui
authors.initials: J
authors.lastname: Wang
authors.forename: Liang
authors.initials: L
authors.lastname: Wang
authors.forename: Yufeng
authors.initials: Y
authors.lastname: Zang
authors.forename: Hong
authors.initials: H
authors.lastname: Yang
authors.forename: Hehan
authors.initials: H
authors.lastname: Tang
authors.forename: Qiyong
authors.initials: Q
authors.lastname: Gong
authors.forename: Zhang
authors.initials: Z
authors.lastname: Chen
authors.forename: Chaozhe
authors.initials: C
authors.lastname: Zhu
authors.forename: Yong
authors.initials: Y
authors.lastname: He
mesh_terms: D000328:Adult; D000465:Algorithms; D001921:Brain / Q000098:blood supply* / Q000502:physiology*; D001931:Brain Mapping; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D009415:Nerve Net / Q000098:blood supply / Q000502:physiology*; D016571:Neural Networks, Computer; D009434:Neural Pathways / Q000098:blood supply / Q000502:physiology; D010100:Oxygen / Q000097:blood; D012146:Rest / Q000502:physiology*; D055815:Young Adult
chemical_list: D010100:Oxygen