Network abnormalities in generalized anxiety pervade beyond the amygdala-prefrontal cortex circuit: insights from graph theory

Makovac, Elena, Mancini, Matteo, Fagioli, Sabrina, Watson, David R, Meeten, Frances, Rae, Charlotte L, Critchley, Hugo D and Ottaviani, Cristina (2018) Network abnormalities in generalized anxiety pervade beyond the amygdala-prefrontal cortex circuit: insights from graph theory. Psychiatry Research: Neuroimaging, 281. pp. 107-116. ISSN 0925-4927

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Abstract

Generalized anxiety (GAD) has excessive anxiety and uncontrollable worry as core symptoms. Abnormal cerebral functioning underpins the expression and perhaps pathogenesis of GAD: Studies implicate impaired communication between the amygdala and the pre-frontal cortex (PFC). Our aim was to longitudinally investigate whether such network abnormalities are spatially restricted to this circuit or if the integrity of functional brain networks is globally disrupted in GAD.
We acquired resting-state functional magnetic resonance imaging data from 16 GAD patients and 16 matched controls at baseline and after 1 year. Using network modelling and
graph-theory, whole-brain connectivity was characterized from local and global perspectives. Overall lower global efficiency, indicating sub-optimal brain-wide organization and integration, was present in patients with GAD compared to controls. The amygdala and midline cortices showed higher betweenness centrality, reflecting functional dominance of these brain structures. Third, lower betweenness centrality and lower degree emerged for PFC, suggesting weakened inhibitory control. Overall, network organization showed impairments consistent with neurobiological models of GAD (involving amygdala,
PFC, and cingulate cortex) and further pointed to an involvement of temporal regions. Such impairments tended to progress over time and predict anxiety symptoms. A graph-analytic approach represents a powerful approach to deepen our understanding of GAD.

Item Type: Article
Keywords: Generalized Anxiety Disorder; Functional connectivity; Graph theory; Longitudinal; Global efficiency; Network-based statistics
Schools and Departments: Brighton and Sussex Medical School > Neuroscience
Research Centres and Groups: Sackler Centre for Consciousness Science
Sussex Neuroscience
Depositing User: Alexei Fisk
Date Deposited: 12 Oct 2018 15:35
Last Modified: 02 Jul 2019 14:18
URI: http://sro.sussex.ac.uk/id/eprint/79462

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Project NameSussex Project NumberFunderFunder Ref
UnsetUnsetItalian Ministry of HealthGR-2010-2312442
UnsetUnsetItalian Ministry of HealthGR2011-02348232