Full Text:   <2223>

Summary:  <1663>

CLC number: B845

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2018-07-06

Cited: 0

Clicked: 3795

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Shao-wei Xue

https://orcid.org/0000-0001-5441-4522

-   Go to

Article info.
Open peer comments

Journal of Zhejiang University SCIENCE B 2018 Vol.19 No.8 P.643-653

http://doi.org/10.1631/jzus.B1700481


Spontaneous activity in medial orbitofrontal cortex correlates with trait anxiety in healthy male adults


Author(s):  Shao-wei Xue, Tien-wen Lee, Yong-hu Guo

Affiliation(s):  Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, China; more

Corresponding email(s):   xuedrm@126.com

Key Words:  Trait anxiety, Fractional amplitude of low-frequency fluctuation (fALFF), Medial orbitofrontal cortex, Precuneus, Functional connectivity


Shao-wei Xue, Tien-wen Lee, Yong-hu Guo. Spontaneous activity in medial orbitofrontal cortex correlates with trait anxiety in healthy male adults[J]. Journal of Zhejiang University Science B, 2018, 19(8): 643-653.

@article{title="Spontaneous activity in medial orbitofrontal cortex correlates with trait anxiety in healthy male adults",
author="Shao-wei Xue, Tien-wen Lee, Yong-hu Guo",
journal="Journal of Zhejiang University Science B",
volume="19",
number="8",
pages="643-653",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B1700481"
}

%0 Journal Article
%T Spontaneous activity in medial orbitofrontal cortex correlates with trait anxiety in healthy male adults
%A Shao-wei Xue
%A Tien-wen Lee
%A Yong-hu Guo
%J Journal of Zhejiang University SCIENCE B
%V 19
%N 8
%P 643-653
%@ 1673-1581
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B1700481

TY - JOUR
T1 - Spontaneous activity in medial orbitofrontal cortex correlates with trait anxiety in healthy male adults
A1 - Shao-wei Xue
A1 - Tien-wen Lee
A1 - Yong-hu Guo
J0 - Journal of Zhejiang University Science B
VL - 19
IS - 8
SP - 643
EP - 653
%@ 1673-1581
Y1 - 2018
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B1700481


Abstract: 
medial orbitofrontal cortex (mOFC) abnormalities have been observed in various anxiety disorders. However, the relationship between mOFC activity and anxiety among the healthy population has not been fully examined. Here, we conducted a resting state functional magnetic resonance imaging (R-fMRI) study with 56 healthy male adults from the Nathan Kline Institute/Rockland Sample (NKI-RS) to examine the relationship between the fractional amplitude of low-frequency fluctuation (fALFF) signals and trait anxiety across the whole brain. A Louvain method for module detection based on graph theory was further employed in the automated functional subdivision to explore subregional correlates of trait anxiety. The results showed that trait anxiety was related to fALFF in the mOFC. Additionally, the resting-state functional connectivity (RSFC) between the right subregions of the mOFC and the precuneus was correlated with trait anxiety. These findings provided evidence about the involvement of the mOFC in anxiety processing among the healthy population.

成年男性特质型焦虑与内侧眶额的自发活动有关

目的:研究内侧眶额与焦虑加工的关系.
创新点:采用Louvain网络模块检测方法对大脑内侧眶额进行自动化功能亚区分割,并发现内侧眶额与健康成年男性特质型焦虑的关系.
方法:采用静息态低频振幅比率(fALFF)、静息态功能连通性(RSFC)和脑区功能亚区自动化分割方法.
结论:成年男性特质型焦虑分数与内侧眶额的fALFF指标间存在显著相关性,并与右脑内侧眶额和楔前叶之间的功能连通性有关.因此,可以认为内侧眶额涉及特质型焦虑加工.

关键词:特质型焦虑;低频振幅比率;内侧眶额;楔前叶;功能连通性

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Banks SJ, Eddy KT, Angstadt M, et al., 2007. Amygdala-frontal connectivity during emotion regulation. Soc Cogn Affect Neurosci, 2(4):303-312.

[2]Biswal B, Yetkin FZ, Haughton VM, et al., 1995. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med, 34(4):537-541.

[3]Biswal BB, van Kylen J, Hyde JS, 1997. Simultaneous assessment of flow and BOLD signals in resting-state functional connectivity maps. NMR Biomed, 10(4-5):165-170.

[4]Blair J, Mitchell D, Blair K, 2005. The Psychopath: Emotion and the Brain. Blackwell Publishing, Oxford, p.81-86.

[5]Blair RJR, 2007. Dysfunctions of medial and lateral orbitofrontal cortex in psychopathy. Ann NY Acad Sci, 1121(1):461-479.

[6]Buckner RL, Andrews-Hanna JR, Schacter DL, 2008. The brain’s default network: anatomy, function, and relevance to disease. Ann NY Acad Sci, 1124(1):1-38.

[7]Bystritsky A, Pontillo D, Powers M, et al., 2001. Functional MRI changes during panic anticipation and imagery exposure. Neuroreport, 12(18):3953-3957.

[8]Chambers JA, Power KG, Durham RC, 2004. The relationship between trait vulnerability and anxiety and depressive diagnoses at long-term follow-up of generalized anxiety disorder. J Anxiety Disord, 18(5):587-607.

[9]Foti NJ, Hughes JM, Rockmore DN, 2011. Nonparametric sparsification of complex multiscale networks. PLoS ONE, 6(2):e16431.

[10]Fox MD, Raichle ME, 2007. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci, 8(9):700-711.

[11]Gawda B, Szepietowska E, 2016. Trait anxiety modulates brain activity during performance of verbal fluency tasks. Front Behav Neurosci, 10:10.

[12]Grachev ID, Apkarian AV, 2000. Anxiety in healthy humans is associated with orbital frontal chemistry. Mol Psychiatry, 5(5):482-488.

[13]Greicius MD, Krasnow B, Reiss AL, et al., 2003. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci USA, 100(1):253-258.

[14]Hahn A, Stein P, Windischberger C, et al., 2011. Reduced resting-state functional connectivity between amygdala and orbitofrontal cortex in social anxiety disorder. Neuroimage, 56(3):881-889.

[15]Hakamata Y, Matsuoka Y, Inagaki M, et al., 2007. Structure of orbitofrontal cortex and its longitudinal course in cancer-related post-traumatic stress disorder. Neurosci Res, 59(4):383-389.

[16]Hamm LL, Jacobs RH, Johnson MW, et al., 2014. Aberrant amygdala functional connectivity at rest in pediatric anxiety disorders. Biol Mood Anxiety Disord, 4(1):15.

[17]Heekeren HR, Wartenburger I, Marschner A, et al., 2007. Role of ventral striatum in reward-based decision making. Neuroreport, 18(10):951-955.

[18]Hoptman MJ, Zuo XN, Butler PD, et al., 2010. Amplitude of low-frequency oscillations in schizophrenia: a resting state fMRI study. Schizophr Res, 117(1):13-20.

[19]Ieong HFH, Yuan Z, 2017. Abnormal resting-state functional connectivity in the orbitofrontal cortex of heroin users and its relationship with anxiety: a pilot fNIRS study. Sci Rep, 7:46522.

[20]Kahnt T, Chang LJ, Park SQ, et al., 2012. Connectivity-based parcellation of the human orbitofrontal cortex. J Neurosci, 32(18):6240-6250.

[21]Kent JM, Coplan JD, Mawlawi O, et al., 2005. Prediction of panic response to a respiratory stimulant by reduced orbitofrontal cerebral blood flow in panic disorder. Am J Psychiatry, 162(7):1379-1381.

[22]Kim MJ, Gee DG, Loucks RA, et al., 2011. Anxiety dissociates dorsal and ventral medial prefrontal cortex functional connectivity with the amygdala at rest. Cereb Cortex, 21(7):1667-1673.

[23]Kim MJ, Brown AC, Mattek AM, et al., 2016. The inverse relationship between the microstructural variability of amygdala-prefrontal pathways and trait anxiety is moderated by sex. Front Syst Neurosci, 10:93.

[24]Lai CH, Wu YT, 2015. The patterns of fractional amplitude of low-frequency fluctuations in depression patients: the dissociation between temporal regions and fronto-parietal regions. J Affect Disord, 175:441-445.

[25]Liao W, Qiu CJ, Gentili C, et al., 2010. Altered effective connectivity network of the amygdala in social anxiety disorder: a resting-state fMRI study. PLoS ONE, 5(12):e15238.

[26]Liu HG, Qin W, Qi HT, et al., 2015. Parcellation of the human orbitofrontal cortex based on gray matter volume covariance. Hum Brain Mapp, 36(2):538-548.

[27]Maddock RJ, Garrett AS, Buonocore MH, 2003. Posterior cingulate cortex activation by emotional words: fMRI evidence from a valence decision task. Hum Brain Mapp, 18(1):30-41.

[28]Milad MR, Rauch SL, 2007. The role of the orbitofrontal cortex in anxiety disorders. Ann NY Acad Sci, 1121(1):546-561.

[29]Milad MR, Rauch SL, Pitman RK, et al., 2006. Fear extinction in rats: implications for human brain imaging and anxiety disorders. Biol Psychol, 73(1):61-71.

[30]Newman MEJ, 2006. Modularity and community structure in networks. Proc Natl Acad Sci USA, 103(23):8577-8582.

[31]Nooner KB, Colcombe SJ, Tobe RH, et al., 2012. The NKI-Rockland Sample: a model for accelerating the pace of discovery science in psychiatry. Front Neurosci, 6:152.

[32]Power JD, Barnes KA, Snyder AZ, et al., 2012. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage, 59(3):2142-2154.

[33]Qiu CJ, Feng Y, Meng YJ, et al., 2015. Analysis of altered baseline brain activity in drug-naive adult patients with social anxiety disorder using resting-state functional MRI. Psychiatry Investig, 12(3):372-380.

[34]Raichle ME, MacLeod AM, Snyder AZ, et al., 2001. A default mode of brain function. Proc Natl Acad Sci USA, 98(2):676-682.

[35]Raymond JG, Steele JD, Seriès P, 2017. Modeling trait anxiety: from computational processes to personality. Front Psychiatry, 8:1.

[36]Scheinost D, Stoica T, Saksa J, et al., 2013. Orbitofrontal cortex neurofeedback produces lasting changes in contamination anxiety and resting-state connectivity. Transl Psychiatry, 3(4):e250.

[37]Shiba Y, Santangelo AM, Roberts AC, 2016. Beyond the medial regions of prefrontal cortex in the regulation of fear and anxiety. Front Syst Neurosci, 10:12.

[38]Shin LM, Liberzon I, 2010. The neurocircuitry of fear, stress, and anxiety disorders. Neuropsychopharmacology, 35(1):169-191.

[39]Spampinato MV, Wood JN, de Simone V, et al., 2009. Neural correlates of anxiety in healthy volunteers: a voxel-based morphometry study. J Neuropsychiatry Clin Neurosci, 21(2):199-205.

[40]Spielberger CD, Gorsuch RL, Lushene RE, 1983. Manual for the State-Trait Anxiety Inventory. Consulting Psychologists Press, Palo Alto, USA.

[41]Tian X, Wei DT, Du X, et al., 2016. Assessment of trait anxiety and prediction of changes in state anxiety using functional brain imaging: a test–retest study. NeuroImage, 133:408-416.

[42]Tzourio-Mazoyer N, Landeau B, Papathanassiou D, et al., 2002. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage, 15(1):273-289.

[43]Wang S, Xu X, Zhou M, et al., 2017. Hope and the brain: trait hope mediates the protective role of medial orbitofrontal cortex spontaneous activity against anxiety. Neuroimage, 157:439-447.

[44]Wang ZQ, Xia MR, Dai ZJ, et al., 2015. Differentially disrupted functional connectivity of the subregions of the inferior parietal lobule in Alzheimer’s disease. Brain Struct Funct, 220(2):745-762.

[45]Worsley K, 2001. Statistical analysis of activation images. In: Jezzard P, Matthews PM, Smith SM (Eds.), Functional MRI: an Introduction to Methods. Oxford University Press, New York, USA, p.251-270.

[46]Xia MR, Wang ZQ, Dai ZJ, et al., 2014. Differentially disrupted functional connectivity in posteromedial cortical subregions in Alzheimer’s disease. J Alzheimers Dis, 39(3):527-543.

[47]Yan CG, Zang YF, 2010. DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI. Front Syst Neurosci, 4:13.

[48]Zang YF, He Y, Zhu CZ, et al., 2007. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Dev, 29(2):83-91.

[49]Zhang DY, Raichle ME, 2010. Disease and the brain’s dark energy. Nat Rev Neurol, 6(1):15-28.

[50]Zhao XH, Wang PJ, Li CB, et al., 2007. Altered default mode network activity in patient with anxiety disorders: an fMRI study. Eur J Radiol, 63(3):373-378.

[51]Zou QH, Zhu CZ, Yang YH, et al., 2008. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. J Neurosci Methods, 172(1):137-141.

[52]Zuo XN, di Martino A, Kelly C, et al., 2010. The oscillating brain: complex and reliable. Neuroimage, 49(2):1432-1445.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE