Social brain, social dysfunction and social withdrawal

Porcelli, Stefano; Wee, Nic van der; Werff, Steven van der; Aghajani, Moji; Glennon, Jeffrey; Heukelum, Sabrina van; Mogavero, Floriana; Lobò, Antonio; Olivera, Francisco Javier Navarro; Lobo, Elena; Posadas, Mar; Dukart, Juergen; Kozak, Rouba; Arce, Estíbaliz; Ikram, M. Arfan; Vorstman, Jacob; Bilderbeck, Amy C.; Saris, Ilja M.J.; Kas, Martien; Serretti, Alessandro

doi:10.1016/j.neubiorev.2018.09.012

Cited by 278 publications

(218 citation statements)

References 404 publications

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“…First, it is important to note that our findings for schizophrenia do not necessarily extrapolate to other psychiatric disorders. While we hypothesize that passive monitoring strategies will likely generate relevant insights for all psychiatric disorders, we expect that both nature and effect size of changes in mobility and social behavior patterns may reveal a combination of differentiating and overlapping signatures across disorders 32 . Therefore, an important next step in this field will be to validate this strategy for all major psychiatric disorders, and to evaluate differences and similarities between the observed behavioral patterns.…”

Section: Discussionmentioning

confidence: 99%

A framework for assessing neuropsychiatric phenotypes by using smartphone-based location data

et al. 2020

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The use of smartphone-based location data to quantify behavior longitudinally and passively is rapidly gaining traction in neuropsychiatric research. However, a standardized and validated preprocessing framework for deriving behavioral phenotypes from smartphone-based location data is currently lacking. Here, we present a preprocessing framework consisting of methods that are validated in the context of geospatial data. This framework aims to generate contextenriched location data by identifying stationary, non-stationary, and recurrent stationary states in movement patterns. Subsequently, this context-enriched data is used to derive a series of behavioral phenotypes that are related to movement. By using smartphone-based location data collected from 245 subjects, including patients with schizophrenia, we show that the proposed framework is effective and accurate in generating context-enriched location data. This data was subsequently used to derive behavioral readouts that were sensitive in detecting behavioral nuances related to schizophrenia and aging, such as the time spent at home and the number of unique places visited. Overall, our results indicate that the proposed framework reliably preprocesses raw smartphone-based location data in such a manner that relevant behavioral phenotypes of interest can be derived.

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Section: Discussionmentioning

confidence: 99%

A framework for assessing neuropsychiatric phenotypes by using smartphone-based location data

et al. 2020

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“…Social interactions similarly involve a complex set of processes. For example, conversations may involve identifying other people's goals, interests, and beliefs; keeping track of what has been said; and integrating this information while generating ideas to discuss, following social conventions, and inhibiting inappropriate behavior [69,70]. Engagement in social activities taps executive functioning, emotional, and motivational resources [70][71][72].…”

Section: Discussionmentioning

confidence: 99%

“…We did not aim to measure motivational variables or affective variables such as the experience and expression of emotions like happiness, sadness, or fear; however, the addition of such variables would be important for future studies to include. Previous findings indicate that affective variables likely play an important role in social functioning (see [69] for review). Further, affective factors may interact with cognitive factors.…”

Section: Discussionmentioning

confidence: 99%

Associations of psychotic-like experiences, related symptoms, and working memory with functioning

2020

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This study examined the association of spatial working memory and attenuated psychotic-like experiences and related symptoms with social and role functioning. Findings from this study suggest that symptom dimensions and working memory impairment were associated with diminished functioning across a variety of domains. Specifically, negative symptoms and working memory impairment were inversely associated with both social and role functioning, whereas positive and disorganized symptoms showed inverse associations with social functioning only. Symptom dimensions did not moderate cognitive and functional variables, although working memory and attenuated clinical symptoms had an additive effect on functioning. Post-hoc analyses examining symptom dimensions simultaneously showed negative symptoms to be the variable most strongly predictive of overall functioning. These findings suggest that even in a non-clinical sample, sub-threshold psychosis symptoms and cognition may influence people’s social and role functioning.

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“…Several studies have been performed to date to elucidate the roles played in SC by specific neural structures, genes, and neurotransmitter systems (61)(62)(63)(64).…”

Section: Social Cognition As a Research Domain Criteriamentioning

confidence: 99%

Social Cognition in a Research Domain Criteria Perspective: A Bridge Between Schizophrenia and Autism Spectra Disorders

et al. 2020

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Schizophrenia and autism spectra disorders are currently conceptualized as distinct clinical categories. However, the relationship between these two nosological entities has been revisited in recent years due to the evidence that they share some important clinical and neurobiological features, putting into question the nature and the extent of their commonalities and differences. In this respect, some core symptoms that are present in both disorders, such as social cognitive deficits, could be a primary target of investigation. This review briefly summarizes the commonalities and overlapping features between schizophrenia and autism spectra disorders in social cognitive functions, considering this construct in a Research Domain Criteria perspective. The clinical manifestation of deficits in social cognition are similar in schizophrenia spectrum disorders and autism spectrum disorders, and brain areas that appear to be altered in relation to these impairments are largely shared; however, the results of various studies suggest that, in some cases, the qualitative nature of these alterations may be different in the two spectra. Moreover, relevant differences could be present at the level of brain networks and connections. More research is required in this field, regarding molecular and genetic aspects of both spectra, to better define the neurobiological mechanisms involved in social cognition deficits, with the objective of developing specific and targeted treatments.

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Social brain, social dysfunction and social withdrawal

Cited by 278 publications

References 404 publications

A framework for assessing neuropsychiatric phenotypes by using smartphone-based location data

A framework for assessing neuropsychiatric phenotypes by using smartphone-based location data

Associations of psychotic-like experiences, related symptoms, and working memory with functioning

Social Cognition in a Research Domain Criteria Perspective: A Bridge Between Schizophrenia and Autism Spectra Disorders

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