Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
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
10 authors.
Mark A OrloffFralin Biomedical Research Institute at VTC; Virginia Tech; Roanoke, Virginia, United States of America.ORCID 0000-0002-6958-5479
Dongil ChungFralin Biomedical Research Institute at VTC; Virginia Tech; Roanoke, Virginia, United States of America.ORCID 0000-0003-1999-0326
Xiaosi GuDepartment of Psychiatry, Department of Neuroscience; Icahn School of Medicine at Mount Sinai; New York, New York, United States of America.
Xingchao WangDepartment of Neurosurgery; Beijing Tiantan Hospital affiliated to Capital Medical University; Beijing; China.
Zhixian GaoDepartment of Neurosurgery; Beijing Tiantan Hospital affiliated to Capital Medical University; Beijing; China.
Guiding SongDepartment of Neurosurgery; Beijing Tiantan Hospital affiliated to Capital Medical University; Beijing; China.
Chandana TatineniMethodist Family Medicine Residency in Dallas; Dallas, Texas, United States of America.
Shuai XuDepartment of Neurosurgery; Beijing Tiantan Hospital affiliated to Capital Medical University; Beijing; China.
Brooks CasasFralin Biomedical Research Institute at VTC; Virginia Tech; Roanoke, Virginia, United States of America.
Pearl H ChiuFralin Biomedical Research Institute at VTC; Virginia Tech; Roanoke, Virginia, United States of America.ORCID 0000-0002-8767-7406
Funding
Neurobehavioral Determinants of Health Risk Behaviors: From Adolescence to Young AdulthoodR01DA036017 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI CASAS, BROOKS, KIM-SPOON, JUNGMEEN · 2013 to 2022
$7.2M
Computational and electrochemical substrates of social decision-making in humansR01MH124115 · NIMH · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI GU, XIAOSI, KISHIDA, KENNETH TUCKER · 2020 to 2024
$5.1M
Neurocomputational mechanisms of proactive social behavior deficits in autism spectrum disorderR01MH122611 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FOSS-FEIG, JENNIFER, GU, XIAOSI · 2020 to 2024
$3.9M
Social influences on choices in adolescent substance useR01DA051573 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI CASAS, BROOKS, CHIU, PEARL H · 2021 to 2025
$3.5M
Making connections among social ties, neural sensitivity to social signals, and outcomesR01AA029222 · NIAAA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI CHIU, PEARL H · 2021 to 2025
$3.1M
Neural, computational and behavioral characterization of dynamic social behavior in borderline and avoidant personality disorderR01MH123069 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GU, XIAOSI, KOENIGSBERG, HAROLD W · 2021 to 2025
$3.1M
Computational and Neural Modeling of Cue Reactivity in AddictionR01DA043695 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GU, XIAOSI · 2018 to 2022
$2.9M
Neurobehavioral and Psychosocial Predictors of Health Risk Behaviors in Adolescence and Young AdulthoodR01DA061024 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Brooks Casas, Jungmeen Kim-Spoon · 2024 to 2026
$2.5M
Neurocomputational Mechanisms for Addiction Heterogeneity, Impulsivity and PerseveranceR21DA049243 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GU, XIAOSI · 2019 to 2020
$466k
Delineating proactive social behaviors in dynamic and multidimensional social spaceR21MH120789 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GU, XIAOSI, SCHILLER, DANIELA · 2019 to 2020
$466k
Neural mechanisms of social influence on risky decisions in cocaine dependenceR21DA042274 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI CHIU, PEARL H, CHUNG, DONGIL · 2017 to 2018
When making risky choices in social contexts, humans typically combine social information with individual preferences about the options at stake. It remains unknown how such decisions are made when these preferences are inaccessible or disrupted, as might be the case for individuals confronting novel options or experiencing cognitive impairment. Thus, we examined participants with lesions in insular or dorsal anterior cingulate cortex, key regions implicated in risky decision-making, as they played a gambling task where choices were made both alone and after observing others' choices. Participants in both lesion groups showed disrupted use of standard utility-based computations about risky options. For socially situated decisions, these participants showed increased conformity with the choices of others, independent from social utility-based computations. These findings suggest that in social contexts, following others' choices may be a heuristic for decision-making when utility-based risk processing is disrupted.
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.
Social conformity is a heuristic when individual risky decision-making is disrupted. · full record | OpenQuestion