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Record W2803391773 · doi:10.1093/brain/awy140

Social communication in Tourette syndrome: a glimpse at the contribution of the insula and the prefrontal cortex

2018· letter· en· W2803391773 on OpenAlexaff
Carmelo M. Vicario, Davide Martino

Bibliographic record

VenueBrain · 2018
Typeletter
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInsulaPrefrontal cortexPsychologyNeuroscienceTourette syndromeCognitive psychologyPsychiatryCognition

Abstract

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Sir, We read with great interest the paper ‘Tourette syndrome: a disorder of the social decision-making network’, recently published in Brain (Albin, 2018). In this article, Albin explored the possibility that Tourette syndrome is characterized by neural abnormalities localized to several important brain regions associated with social behaviour and social decision-making. The author focused on several brain structures such as the amygdala, the periaqueductal grey, the hypothalamus, and basal ganglia, outlining key details on the relevance of these neural structures to support the view of this syndrome as disorder of social communication. Despite the growing body of evidence from psychometric studies (Eddy, 2018) showing abnormalities of social cognition in Tourette syndrome, the social behaviour dimension has been relatively under-explored. A core phenomenological feature of the Tourette spectrum is obscene (coprophenomena, e.g. coprolalia, coprographia and copropraxia) and non-obscene socially inappropriate behaviours (NOSIBs). Although social disinhibition appears to be a highly heritable symptom type within Tourette syndrome-related phenotypes (Hirschtritt et al., 2016), its association with a dysfunctional connectivity within the social behaviour network (SBN) has not been investigated in case-control studies. Brain imaging studies investigating the functional neuroanatomy of social behavioural anomalies are surprisingly scant and limited to single case studies. In Stern et al. (2000) the insular activity was particularly pre-eminent in a Tourette syndrome patient affected by coprolalia, whereas Gates et al. (2004) described a Tourette syndrome patient in whom coprolalia was associated with activation of the left middle frontal gyrus. As a complement to Albin’s thought-provoking view and in keeping with the findings from these isolated case studies, we believe it is interesting to expand the discussion to two further neural regions that are key components of the SBN, namely the insula and the ventro-medial prefrontal cortex (vmPFC). A recent review of our group (Vicario et al., 2017) suggested that dysfunction of these two cortical regions has a central role in the pathogenesis of defects in social decision-making behaviours, such as moral reasoning and decision-making, across different neurological and psychiatric disorders, including obsessive-compulsive disorder, the second most common behavioural comorbidity of Tourette syndrome. Importantly, the neural connectivity of both these regions is altered in Tourette syndrome (Jeffries et al., 2002; Müller-Vahl et al., 2009; Tinaz et al., 2015; Cavanna et al., 2017; Greene et al., 2017). Tinaz et al. (2015) used graph theory-based neural network analysis of resting state functional MRI data to demonstrate higher connectivity of the right dorsal anterior insula with urge- and tic-related cortico-striato-thalamic regions, as well as a positive correlation between functional connectivity between this portion of the insula and the supplementary motor area and severity of premonitory urges. This change of functional connectivity could affect social cognitive fitness besides influencing awareness and processing of bodily sensations. The insular cortex has been linked to affiliative behavioural patterns in an intracortical microstimulation study on non-human primates, with particular regard to social and communicative behaviour (Caruana et al., 2011). Moreover, a variety of orofacial motor programmes, crucial for social communication including affiliative behaviour, has been localized to the anterior and centro-ventral insular sectors (Jezzini et al., 2012). A body of human imaging studies exploring empathy for others’ pain have shown activations in the anterior insula, also involved in the direct experience of pain. This evidence supports the computational role of the anterior insula in processing emotionally charged states in order to guide adaptive, goal-directed behaviours in dynamic social contexts (Bernhardt and Singer, 2012). Kim et al. (2016) reported greater insular activation in response to tasks involving the Theory of Mind (ToM) dimension, i.e. the ability to think about mental states such as beliefs and emotions, a social cognition dimension, which is known to be affected in Tourette syndrome (Eddy et al., 2011). New imaging studies are therefore needed to understand which subdivisions of the insula are characterized by dysfunctional connectivity in Tourette syndrome, and how this relates to social cognition performance. In a recent, large voxel-based morphometry study, Greene et al. (2017) reported reduced white matter volume bilaterally in the orbital and medial prefrontal cortex of Tourette syndrome patients. Different subregions of the orbital frontal cortex appear to be associated with different features of social cognition (Nestor et al., 2013). Moreover, in healthy subjects the volume of the orbital prefrontal cortex was found to correlate with the size of social networks (Powell et al., 2012). Shamay-Tsoory et al. (2007) also documented an impairment of the ‘affective’ subtype of the ToM dimension in association with dysfunctional connectivity of the vmPFC. Like for the insular region, more research is necessary to understand the correlation between structural and functional connectivity changes and social cognition performance in patients with Tourette syndrome. Overall, our considerations corroborate the hypothesis of a social communication deficit in Tourette syndrome, at the same time highlighting the importance to include the insula and the PFC as two key structures requiring exploration in future research on the social behaviour network of Tourette syndrome.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.736
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.273
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations7
Published2018
Admission routes1
Has abstractyes

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