Literature DB >> 24973255

Altered cortical and subcortical local coherence in PTSD: evidence from resting-state fMRI.

Yuan Zhong1, Ruiting Zhang2, Kai Li3, Rongfeng Qi4, Zhiqiang Zhang4, Qingling Huang5, Guangming Lu6.   

Abstract

BACKGROUND: Post-traumatic stress disorder (PTSD) is often characterized by region-specific brain activation/deactivation and functional abnormalities in corticolimbic circuitry, as elucidated by task-dependent functional neuroimaging. However, little is known about the abnormalities in the local coherence of cortical and subcortical activity occurring during the resting state.
PURPOSE: To evaluate the functional discrepancy of local coherence between cortical and subcortical regions in PTSD patients using resting-state functional magnetic resonance imaging (fMRI).
MATERIAL AND METHODS: Resting-state fMRI (RS-fMRI) was performed on 14 outpatients with PTSD, along with 14 age- and sex-matched normal control subjects. Regional homogeneity (ReHo), a measurement of the coherence of spontaneous RS-fMRI signal oscillations within spatially neighboring voxels, was examined.
RESULTS: Compared with the normal controls, PTSD patients showed increased local coherence in subcortical regions, including amygdala, hippocampus, thalamus, and putamen, and decreased local coherence in cortical regions, including medial prefrontal cortex and dorsolateral prefrontal cortex. Moreover, a correlation analysis of the ReHo measurement versus the severity of the disorder was performed, and highly positive correlation were observed in the right amygdala.
CONCLUSION: The present study identified a functional discrepancy of local coherence between cortical and subcortical regions in PTSD patients compared with normal controls. The findings revealed that resting-state abnormalities might lead to further improvement of the understanding of the neural substrates of cognitive impairment and symptoms in PTSD. © The Foundation Acta Radiologica 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Entities:  

Keywords:  CNS; adults; brain; computer applications – detection; functional magnetic resonance imaging; trauma

Mesh:

Year:  2014        PMID: 24973255     DOI: 10.1177/0284185114537927

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  12 in total

1.  Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets.

Authors:  Pradyumna Lanka; D Rangaprakash; Michael N Dretsch; Jeffrey S Katz; Thomas S Denney; Gopikrishna Deshpande
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2.  White matter integrity alterations in post-traumatic stress disorder.

Authors:  Daniel C M O'Doherty; Will Ryder; Casey Paquola; Ashleigh Tickell; Charles Chan; Daniel F Hermens; Max R Bennett; Jim Lagopoulos
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4.  Altered resting-state functional activity in posttraumatic stress disorder: A quantitative meta-analysis.

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Review 6.  The Role of the Thalamus in Post-Traumatic Stress Disorder.

Authors:  Takanobu Yoshii
Journal:  Int J Mol Sci       Date:  2021-02-09       Impact factor: 5.923

7.  Abnormalities of intrinsic brain activity in irritable bowel syndrome (IBS): A protocol for systematic review and meta analysis of resting-state functional imaging.

Authors:  J Li; C Wang; Z M Li; B Fu; Q Han; M Ye
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8.  White Matter Changes in Posttraumatic Stress Disorder Following Mild Traumatic Brain Injury: A Prospective Longitudinal Diffusion Tensor Imaging Study.

Authors:  Li Li; Gang Sun; Kai Liu; Min Li; Bo Li; Shao-Wen Qian; Li-Li Yu
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9.  Multimodal MRI-Based Classification of Trauma Survivors with and without Post-Traumatic Stress Disorder.

Authors:  Qiongmin Zhang; Qizhu Wu; Hongru Zhu; Ling He; Hua Huang; Junran Zhang; Wei Zhang
Journal:  Front Neurosci       Date:  2016-06-24       Impact factor: 4.677

10.  Abnormal resting-state functional connectivity of hippocampal subfields in patients with major depressive disorder.

Authors:  Zi Yu Hao; Yuan Zhong; Zi Juan Ma; Hua Zhen Xu; Jing Ya Kong; Zhou Wu; Yun Wu; Jian Li; Xin Lu; Ning Zhang; Chun Wang
Journal:  BMC Psychiatry       Date:  2020-02-17       Impact factor: 3.630

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