Literature DB >> 34668168

Disrupted fronto-temporal function in panic disorder: a resting-state connectome study.

Yun Wu1,2,3, Yuan Zhong4,5, Gang Zheng6,7, Ya Liu6,7, Manlong Pang1,2,3, Huazhen Xu1,8, Huachen Ding1,8, Chun Wang9,10,11, Ning Zhang1,2,3.   

Abstract

Recent neuroimaging studies have identified alterations in activity and connectivity among many brain regions as potential biomarkers for panic disorder. However, the functional connectome of panic disorder is not well understood. Therefore, a graph-theoretical approach was applied in this study to construct functional networks of patients and healthy controls in order to discover topological changes in panic disorder. 31 patients and 33 age and sex matched healthy controls underwent resting-state functional magnetic resonance imaging. Brain networks for each participant were structured using nodes from the Anatomical Automatic Labeling template and edges from connectivity matrices. Then, topological organizations of networks were calculated. Network-based statistical analysis was conducted, and global and nodal properties were compared between patients and controls. Unlike controls, patients with panic disorder displayed a small-world network. Patients also revealed decreased nodal efficiency in right superior frontal gyrus (SFG), middle frontal gyrus (MFG), right superior temporal gyrus (STG), and left middle temporal gyrus (MTG). Decreased functional connectivity was found in panic disorder between right MTG and extensive temporal regions. Among these disrupted regions, the decreased nodal efficiency of SFG showed a positive correlation with clinical symptoms while nodal betweenness centrality in angular gyrus showed a negative correlation. Our results indicated decreased function of global and regional information transmission in panic disorder and emphasized the role of temporal regions in its pathology.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Graph theory; Magnetic resonance imaging; Network-based statistic; Temporal lobe

Mesh:

Year:  2021        PMID: 34668168     DOI: 10.1007/s11682-021-00563-z

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.224


  57 in total

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Authors:  Randy L Buckner; Jessica R Andrews-Hanna; Daniel L Schacter
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5.  Attention inhibition of early cortical activation to fearful faces.

Authors:  Dimitri J Bayle; Margot J Taylor
Journal:  Brain Res       Date:  2009-12-11       Impact factor: 3.252

6.  Neuroanatomical correlates of human reasoning.

Authors:  V Goel; B Gold; S Kapur; S Houle
Journal:  J Cogn Neurosci       Date:  1998-05       Impact factor: 3.225

7.  Default mode network dissociation in depressive and anxiety states.

Authors:  Joana Fernandes Coutinho; Sara Veiga Fernandesl; José Miguel Soares; Liliana Maia; Óscar Filipe Gonçalves; Adriana Sampaio
Journal:  Brain Imaging Behav       Date:  2016-03       Impact factor: 3.978

8.  DPARSF: A MATLAB Toolbox for "Pipeline" Data Analysis of Resting-State fMRI.

Authors:  Yan Chao-Gan; Zang Yu-Feng
Journal:  Front Syst Neurosci       Date:  2010-05-14

9.  Evaluation of regional cerebral blood flow changes in panic disorder with Tc99m-HMPAO SPECT.

Authors:  Ibrahim Eren; Raşit Tükel; Aslihan Polat; Remzi Karaman; Seher Unal
Journal:  Psychiatry Res       Date:  2003-06-30       Impact factor: 3.222

10.  Efficiency and cost of economical brain functional networks.

Authors:  Sophie Achard; Ed Bullmore
Journal:  PLoS Comput Biol       Date:  2007-02-02       Impact factor: 4.475

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  1 in total

1.  Disrupted topological organization of functional brain networks is associated with cognitive impairment in hypertension patients: a resting-state fMRI study.

Authors:  Dan Liao; Zhu-Qing Zhang; Zhi-Peng Guo; Li-Rong Tang; Ming-Hao Yang; Rong-Ping Wang; Xin-Feng Liu; Chun-Hong Liu
Journal:  Neuroradiology       Date:  2022-10-11       Impact factor: 2.995

  1 in total

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