Cited by 579Functional Brain Connectivity StudiesAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesMental Health Research Topics

Functional network dysfunction in anxiety and anxiety disorders

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Sylvester, C.M., Corbetta, M., Raichle, M.E., Rodebaugh, T.L., Schlaggar, B.L., Sheline, Y.I., Zorumski, C.F., Lenze, E.J.·2012·Trends in Neurosciences

Abstract

A recent paradigm shift in systems neuroscience is the division of the human brain into functional networks. Functional networks are collections of brain regions with strongly correlated activity both at rest and during cognitive tasks, and each network is believed to implement a different aspect of cognition. We propose here that anxiety disorders and high trait anxiety are associated with a particular pattern of functional network dysfunction: increased functioning of the cingulo-opercular and ventral attention networks as well as decreased functioning of the fronto-parietal and default mode networks. This functional network model can be used to differentiate the pathology of anxiety disorders from other psychiatric illnesses such as major depression and provides targets for novel treatment strategies.

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Crossref · 10.1016/j.tins.2012.04.012

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  • Both goal-directed stimulus processing and the function of the dorsal attention network have been found to be impaired in highly anxious individuals.

    “Both, goal-directed stimulus processing [46] and the function of the dorsal attention network [47] have been found to be impaired in highly anxious individuals.”

    From They are laughing at me: Cerebral mediation of cognitive biases in social anxiety (2014) · cites this paper as [47]

    The citation [47] is attached to the claim about dorsal attention network function. In the section ‘The ventral attention network’ (page unavailable), the paper says no known studies specifically test whether dorsal attention network activity is implicated in increased stimulus-driven attention in patients with anxiety disorders; it discusses evidence for the ventral network instead. That conflicts with the claim that dorsal network impairment has been found. (LLM, conf=0.82)

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  • Specific treatments can be targeted to individual patients based on their personalized pattern of brain network dysfunction.

    “Specific treatments can then be targeted to individual patients based on their personalized pattern of brain network dysfunction.112”
  • Anxiety and ABs may emerge from an imbalance between threat salience evaluation and cognitive control processes, described at both cognitive and neural network levels.

    “Anxiety and ABs may emerge from an imbalance between threat salience evaluation and cognitive control processes, described at both cognitive and neural network levels [115,118-121].”
  • Sylvester et al. (2012) propose that anxiety-related dysfunction in each of the four networks should be evident on tasks using neutral stimuli (i.e., it is not specific to processing threat information).

    “Sylvester et al. (2012) propose that anxiety-related dysfunction in each of the four networks should be evident on tasks using neutral stimuli (i.e., it is not specific to processing threat information).”
  • Sylvester et al. (2012) propose that both high trait anxiety and anxiety disorders are associated with individual differences in dysfunction in four brain networks: ventral attention, frontoparietal, cingulo-opercular and default mode network; which results in increased bottom-up stimulus-driven attention, reduced top-down attention control, increased error sensitivity, and poor emotion regulation

    “Furthermore, Sylvester et al. (2012) propose that both high trait anxiety and anxiety disorders are associated with individual differences in dysfunction in four brain networks: ventral attention, frontoparietal, cingulo-opercular and default mode network; which results in increased bottom-up stimulus-driven attention, reduced topdown attention control, increased error sensitivity, and poor”

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Authors
Sylvester, C. M., Corbetta, M., Raichle, M. E., Rodebaugh, T. L., Schlaggar, B. L., Sheline, Y. I., Zorumski, C. F., & Lenze, E. J.
Affiliations
Washington University in St. Louis (US)
Corresponding author
Sylvester, C.M.
Venue
Trends in Neurosciences
Publisher
Elsevier BV
Published
2012-09
Volume
35
Issue
9
Pages
527-535
ISSN
0166-2236 (ISSN-L)
OpenAlex
W2068673705
Cited by
579
References
110
Citations by year
2026: 48 · 2025: 43 · 2024: 52 · 2023: 58 · 2022: 36 · 2021: 55 · 2020: 43 · 2019: 38 · 2018: 46 · 2017: 35 · 2016: 46 · 2015: 25 · 2014: 33 · 2013: 16 · 2012: 2
FWCI
1.92
Type
journal article
Language
en
Open access
Locations
  • Trends in Neurosciences (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Padua Research Archive (University of Padova) (submittedVersion)
Funders
  • National Institutes of Health (5r01mh077791-07)
  • U.S. Public Health Service (K24 65421)
  • National Institute on Alcohol Abuse and Alcoholism (R01AA017413, AA017413)
  • National Institute of Mental Health (R21MH090308, MH07791, R01MH096482, MH090308, R01-MH-077791, K24MH079510)
  • National Institute of Neurological Disorders and Stroke (P50NS006833, NS 06833)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD061117, 5R01HD61117-6)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
functional brain networks, anxiety disorders, trait anxiety, cingulo-opercular network, ventral attention network, frontoparietal network, default mode network, network dysfunction, major depressive disorder, treatment goals
MeSH terms
Anxiety, Anxiety Disorders, Brain, Brain Diseases, Humans, Models, Neurological, Nerve Net

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