@article{eprints2860,
          author = {Claudio Gentili and Nicola Vanello and Ioana Cristea and Daniel David and Emiliano Ricciardi and Pietro Pietrini},
         journal = {Psychiatry Research: Neuroimaging},
       publisher = {Elsevier},
            year = {2015},
           title = {Proneness to social anxiety modulates neural complexity in the absence of exposure: A resting state fMRI study using Hurst exponent},
           pages = {135 -- 144},
          number = {2},
          volume = {232},
             url = {http://eprints.imtlucca.it/2860/},
        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.},
        keywords = {Social phobia}
}