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Record W2938280135 · doi:10.1093/schbul/sbz021.243

O9.3. EFFECT OF INTRANASAL VASOPRESSIN ON ALTRUISTIC BEHAVIOR IN SCHIZOPHRENIA

2019· article· en· W2938280135 on OpenAlexaboutno aff
Deepa Purushothaman, Naren P. Rao, Ganesan Venkatsubramanian, Shivarama Varambally, Vijaykumar KG, Bhargavi Nagendra

Bibliographic record

VenueSchizophrenia Bulletin · 2019
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsVasopressinDictator gamePsychologyPlaceboSchizophrenia (object-oriented programming)Ultimatum gameAltruism (biology)Clinical psychologyPsychiatryInternal medicineMedicineSocial psychology

Abstract

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Increased self-interest and/or distrust in others are reported as possible reasons for decreased cooperation in paranoia1. While a few studies have examined trust behavior in schizophrenia altruistic behavior is underexplored in Schizophrenia. Altruism characterized by decreased self-interest, an evolutionarily advantageous human quality, is critical for social cooperation. Recent studies in healthy humans have suggested vasopressin to play critical role in altruistic behavior2. However, the effect of vasopressin on altruistic behavior in SCZ is not examined till date. In this study we examined the effect of vasopressin on altruistic behavior in schizophrenia using a neuroeconomics paradigm, dictator game. 30 patients with DSM IV TR SCZ (age 32.73 ± 6.66; M:F = 16:14) and 30 matched healthy volunteers (HV) (age 31.23 ± 5.48;M:F= 17:13; p>0.05) participated in the study. Clinical severity was assessed using Scale for assessment of negative symptoms, scale for assessment of positive symptoms and Calgary depression rating scale. Childhood trauma was assessed using Adverse childhood experience (ACE)3 questionnaire. After clinical assessments, patients participated in a double blinded counterbalanced crossover study. Equal amount of vasopressin (40 IU) or saline placebo were administered to the patients. Participants were made to choose one from 5 Dictator game scenarios4,5 (of money units 150,180, 200, 210 and 210 each; allocation of funds varying in level of altruism). HV performed dictator game once without administration of vasopressin or placebo. We compared the performance of patients in placebo condition with that of HV using independent t-test. Effect of vasopressin vs placebo in patients was examined using paired t-test. Relation between clinical variables and performance in dictator game was examined using Pearson’s correlation analysis. Patients with SCZ, compared to HV shared significantly lower money units in dictator game ((SCZ-43.67 ± 37.37; HV - 90.67±25.86; t=5.67; p<0.001). SCZ shared significantly higher money units with intranasal Vasopressin (54.67 ± 36.93) compared to placebo (43.67 ± 37.37; t=; p= 0.013). Mean change in money units shared with vasopressin had a trend level negative correlation with ACE questionnaire score (r= -0.37; p=0.046) suggesting those with higher childhood trauma had greater response to vasopressin. There was no relation with other clinical variables. To the best of our knowledge, this is the first study examining the effects of the prosocial neuropeptide Vasopressin on Dictator game behavior in Schizophrenia. The results suggest that patients with SCZ have lower altruistic behavior compared to HV which improved partially with intranasal vasopressin. Whether the magnitude of improvement seen with single dose of vasopressin will increase with repeated doses need to be examined in systematic trials. The possible interaction between childhood adversity and response to vasopressin need to be examined in future. Findings of the study provide rationale to examine potential utility of vasopressin or its’ analogues in the treatment of SCZ.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.005

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 head0.010
GPT teacher head0.288
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

Study designObservational
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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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