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Proneness to social anxiety modulates neural complexity in the absence of exposure: A resting state fMRI study using Hurst exponent

Gentili, Claudio and Vanello, Nicola and Cristea, Ioana and David, Daniel and Ricciardi, Emiliano and Pietrini, Pietro Proneness to social anxiety modulates neural complexity in the absence of exposure: A resting state fMRI study using Hurst exponent. Psychiatry Research: Neuroimaging, 232 (2). 135 - 144. ISSN 0925-4927 (2015)

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Abstract

Abstract To test the hypothesis that brain activity is modulated by trait social anxiety, we measured the Hurst Exponent (HE), an index of complexity in time series, in healthy individuals at rest in the absence of any social trigger. Functional magnetic resonance imaging (fMRI) time series were recorded in 36 subjects at rest. All volunteers were healthy without any psychiatric, medical or neurological disorder. Subjects completed the Liebowitz Social Anxiety Scale (LSAS) and the Brief Fear of Negative Evaluation (BFNE) to assess social anxiety and thoughts in social contexts. We also obtained the fractional Amplitude of Low Frequency Fluctuations (fALFF) of the {BOLD} signal as an independent control measure for {HE} data. {BFNE} scores correlated positively with {HE} in the posterior cingulate/precuneus, while {LSAS} scores correlated positively with {HE} in the precuneus, in the inferior parietal sulci and in the parahippocamus. Results from fALFF were highly consistent with those obtained using {LSAS} and {BFNE} to predict HE. Overall our data indicate that spontaneous brain activity is influenced by the degree of social anxiety, on a continuum and in the absence of social stimuli. These findings suggest that social anxiety is a trait characteristic that shapes brain activity and predisposes to different reactions in social contexts.

Item Type: Article
Identification Number: 10.1016/j.pscychresns.2015.03.005
Uncontrolled Keywords: Social phobia
Subjects: R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Research Area: Computer Science and Applications
Depositing User: Caterina Tangheroni
Date Deposited: 10 Nov 2015 10:35
Last Modified: 13 Sep 2016 09:44
URI: http://eprints.imtlucca.it/id/eprint/2860

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