Evidence map›Paper›PMID 29382814›Full record

ArticleTranslational psychiatry2018

Social affective context reveals altered network dynamics in schizophrenia patients.

Talma Hendler, Gal Raz, Solnik Shimrit, Yael Jacob, Tamar Lin, Leor Roseman, Wahid Madah Wahid, Ilana Kremer, Marina Kupchik, Moshe Kotler and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Neuroscientific account of Guilt- and Shame-Driven PTSD phenotypes.European journal of psychotraumatology · 2023
    Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Talma HendlerFunctional Brain Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel. hendlert@gmail.com.
Gal RazFunctional Brain Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel. galraz@post.tau.ac.il.
Solnik ShimritFunctional Brain Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Yael JacobFunctional Brain Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Tamar LinFunctional Brain Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Leor RosemanFunctional Brain Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Wahid Madah WahidMazra Mental Health Center, Acre, Israel.
Ilana KremerMazra Mental Health Center, Acre, Israel.
Marina KupchikBeer Yaakov Mental Health Center, Beer Yaakov, Israel.
Moshe KotlerSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Maya Bleich-CohenFunctional Brain Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impairments in social cognition and interactions are core psychopathologies in schizophrenia, often manifesting as an inability to appropriately relate to the intentions and feelings of others. Neuroimaging has helped to demarcate the dynamics of two distinct functional connectivity circuits underlying the social-affective processes related to mentalization (known as Theory of Mind, ToM) and somatic-affiliation (known as Embodied Simulation, ES). While evidence points to abnormal activation patterns within these networks among those suffering from schizophrenia, it is yet unclear however, if these patients exhibit this abnormal functional connectivity in the context of social-affective experiences. The current fMRI study, investigated functional connectivity dynamics within ToM and ES networks as subjects experienced evolving cinematic portrayals of fear. During scanning, schizophrenia patients and healthy controls passively watched a cinematic scene in which a mother and her son face various threatening events. Participants then provided a continuous and retrospective report of their fear intensity during a second viewing outside the scanner. Using network cohesion index (NCI) analysis, we examined modulations of ES-related and ToM-related functional connectivity dynamics and their relation to symptom severity and the continuous emotional ratings of the induced cinematic fear. Compared to patients, healthy controls showed higher ES-NCI and marginally lower ToM-NCI during emotional peaks. Cross-correlation analysis revealed an intriguing dynamic between NCI and the inter-group difference of reported fear. Schizophrenia patients rated their fear as lower relative to healthy controls, shortly after exhibiting lower ES connectivity. This increased difference in rating was also followed by higher ToM connectivity among schizophrenia patients. The clinical relevance of these findings is further highlighted by the following two results: (a) ToM-NCI was found to have a strong correlation with the severity of general symptoms during one of the two main emotional peaks (Spearman R = 0.77); and (b) k-mean clustering demonstrated that the networks' NCI dynamic during the social-affective context reliably differentiated between patients and controls. Together, these findings point to a possible neural marker for abnormal social-affective processing in schizophrenia, manifested as the disturbed balance between two functional networks involved in social-affective affiliation. This in turn suggests that exaggerated mentalization over somatic-affiliative processing, in response to another's' distress may underlie social-affective deficits in schizophrenia.

Indexed as

AffectSocial BehaviorAdolescentAdultBrainBrain MappingEmotionsFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMalePsychiatric Status Rating ScalesRetrospective StudiesSchizophreniaTheory of Mind

Identifiers

PMID29382814
PMCPMC5802465

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.