Cited by 42Functional Brain Connectivity StudiesMental Health Research TopicsAdvanced Neuroimaging Techniques and Applications

Frequency Dependant Topological Alterations of Intrinsic Functional Connectome in Major Depressive Disorder

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Luo, Qinghua, Deng, Zhou, Qin, Jingxue, Wei, Dongtao, Cun, Lingli, Qiu, Jiang, Hitchman, Glen, Xie, Peng·2015·Scientific Reports

Abstract

Major depressive disorder is associated with aberrant topological organizations of brain networks. However, whether this aberrance is shown in broader frequency bands or in a specific frequency band remains unknown. Fifty patients and fifty gender, age and education matched normal controls underwent resting state functional magnetic resonance imaging. Frequency dependent topological measures based on graph theory were calculated from wavelet decomposed resting state functional brain signals. In the specific frequency band of 0.03–0.06 14Hz, the clustering coefficient and the global efficiency were reduced while the characteristic path length was increased. Furthermore, patients showed aberrant nodal centralities in the default mode network, executive network and occipital network. Network based statistical analysis revealed system-wise topological alterations in these networks. The finding provides the first systematic evidence that depression is associated with frequency specific global and local topological disruptions and highlights the importance of frequency information in investigating major depressive disorders.

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  • Studies of topological organization in depressed individuals using anatomical, resting-state, and task-based functional connectivity have found disruption to the fronto-parietal network.

    “Studies of topological organization in depressed individuals using anatomical80, resting-state81, and task-based functional connectivity82 have found disruption to this same fronto-parietal network.”

    From Paying attention to attention in depression (2019) · cites this paper as [81]

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Authors
Luo, Q., Deng, Z., Qin, J., Wei, D., Cun, L., Qiu, J., Hitchman, G., & Xie, P.
Affiliations
  • The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
  • Southwest University (CN)
Corresponding author
Xie, Peng
Venue
Scientific Reports
Published
2015-04-09
Volume
5
Issue
1
Pages
9710-9710
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2032864676
Cited by
42
References
65
Citations by year
2026: 2 · 2025: 4 · 2024: 4 · 2023: 3 · 2022: 2 · 2021: 4 · 2020: 3 · 2019: 8 · 2018: 4 · 2017: 2 · 2016: 6
FWCI
2.41
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (31170983, 2012M510098, 31070900, 30970892, 30800293, 211 Project)
  • China Postdoctoral Science Foundation (2012M510098)
  • Southwest University
  • Program for New Century Excellent Talents in University
  • Fundamental Research Funds for the Central Universities (SWU1209101)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
major depressive disorder, functional connectome, brain network topology, wavelet decomposition, resting-state fMRI, default mode network, executive network, node centrality, clustering coefficient, global efficiency, average path length
MeSH terms
Adult, Major Depressive Disorder, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Risk Factors, Case-Control Studies, Computational Biology, Connectome

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