Literature DB >> 29410078

A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity.

Yu Takagi1, Yuki Sakai2, Yoshinari Abe3, Seiji Nishida3, Ben J Harrison4, Ignacio Martínez-Zalacaín5, Carles Soriano-Mas6, Jin Narumoto3, Saori C Tanaka7.   

Abstract

Anxiety is one of the most common mental states of humans. Although it drives us to avoid frightening situations and to achieve our goals, it may also impose significant suffering and burden if it becomes extreme. Because we experience anxiety in a variety of forms, previous studies investigated neural substrates of anxiety in a variety of ways. These studies revealed that individuals with high state, trait, or pathological anxiety showed altered neural substrates. However, no studies have directly investigated whether the different dimensions of anxiety share a common neural substrate, despite its theoretical and practical importance. Here, we investigated a brain network of anxiety shared by different dimensions of anxiety in a unified analytical framework using functional magnetic resonance imaging (fMRI). We analyzed different datasets in a single scale, which was defined by an anxiety-related brain network derived from whole brain. We first conducted the anxiety provocation task with healthy participants who tended to feel anxiety related to obsessive-compulsive disorder (OCD) in their daily life. We found a common state anxiety brain network across participants (1585 trials obtained from 10 participants). Then, using the resting-state fMRI in combination with the participants' behavioral trait anxiety scale scores (879 participants from the Human Connectome Project), we demonstrated that trait anxiety shared the same brain network as state anxiety. Furthermore, the brain network between common to state and trait anxiety could detect patients with OCD, which is characterized by pathological anxiety-driven behaviors (174 participants from multi-site datasets). Our findings provide direct evidence that different dimensions of anxiety have a substantial biological inter-relationship. Our results also provide a biologically defined dimension of anxiety, which may promote further investigation of various human characteristics, including psychiatric disorders, from the perspective of anxiety.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anxiety; Data-driven approach; Dimensional psychiatry; Functional connectivity fMRI; Human connectome project; Machine learning

Mesh:

Year:  2018        PMID: 29410078     DOI: 10.1016/j.neuroimage.2018.01.080

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  13 in total

1.  Toward Robust Anxiety Biomarkers: A Machine Learning Approach in a Large-Scale Sample.

Authors:  Emily A Boeke; Avram J Holmes; Elizabeth A Phelps
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-06-21

2.  Functional connectivity of emotional well-being: Overconnectivity between default and attentional networks is associated with attitudes of anger and aggression.

Authors:  Fiona L Weathersby; Jace B King; J Chancelor Fox; Amy Loret; Jeffrey S Anderson
Journal:  Psychiatry Res Neuroimaging       Date:  2019-08-02       Impact factor: 2.376

3.  State and Trait Anxiety Share Common Network Topological Mechanisms of Human Brain.

Authors:  Yubin Li; Lili Jiang
Journal:  Front Neuroinform       Date:  2022-06-23       Impact factor: 3.739

4.  Network alterations underlying anxiety symptoms in early multiple sclerosis.

Authors:  Erik Ellwardt; Muthuraman Muthuraman; Gabriel Gonzalez-Escamilla; Venkata Chaitanya Chirumamilla; Felix Luessi; Stefan Bittner; Frauke Zipp; Sergiu Groppa; Vinzenz Fleischer
Journal:  J Neuroinflammation       Date:  2022-05-24       Impact factor: 9.587

5.  Trait and state anxiety are mapped differently in the human brain.

Authors:  Francesca Saviola; Edoardo Pappaianni; Alessia Monti; Alessandro Grecucci; Jorge Jovicich; Nicola De Pisapia
Journal:  Sci Rep       Date:  2020-07-06       Impact factor: 4.379

Review 6.  Neurobiological links between stress and anxiety.

Authors:  Nuria Daviu; Michael R Bruchas; Bita Moghaddam; Carmen Sandi; Anna Beyeler
Journal:  Neurobiol Stress       Date:  2019-08-13

7.  Aberrant Thalamic-Centered Functional Connectivity in Patients with Persistent Somatoform Pain Disorder.

Authors:  Xia Sun; Xiandi Pan; Kaiji Ni; Chenfeng Ji; Jiaxin Wu; Chao Yan; Yanli Luo
Journal:  Neuropsychiatr Dis Treat       Date:  2020-01-23       Impact factor: 2.570

8.  Intergenerational transmission of the patterns of functional and structural brain networks.

Authors:  Yu Takagi; Naohiro Okada; Shuntaro Ando; Noriaki Yahata; Kentaro Morita; Daisuke Koshiyama; Shintaro Kawakami; Kingo Sawada; Shinsuke Koike; Kaori Endo; Syudo Yamasaki; Atsushi Nishida; Kiyoto Kasai; Saori C Tanaka
Journal:  iScience       Date:  2021-06-11

9.  Associations between (sub) clinical stress- and anxiety symptoms in mentally healthy individuals and in major depression: a cross-sectional clinical study.

Authors:  Georgia Konstantopoulou; Theodoros Iliou; Katerina Karaivazoglou; Gregoris Iconomou; Konstantinos Assimakopoulos; Panagiotis Alexopoulos
Journal:  BMC Psychiatry       Date:  2020-09-01       Impact factor: 3.630

10.  Dorsal Hippocampus ERK2 Signaling Mediates Anxiolytic-Related Behavior in Male Rats.

Authors:  Jorge A Sierra-Fonseca; Lyonna F Parise; Francisco J Flores-Ramirez; Eden H Robles; Israel Garcia-Carachure; Sergio D Iñiguez
Journal:  Chronic Stress (Thousand Oaks)       Date:  2019-12-24
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