Evidence map›Paper›PMID 35346839›Full record

ArticleNeuroImage2022

Cerebellum anatomy predicts individual risk-taking behavior and risk tolerance.

Peng Quan, Lisheng He, Tianxin Mao, Zhuo Fang, Yao Deng, Yu Pan, Xiaocui Zhang, Ke Zhao, Hui Lei, John A Detre and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 4 institutions in 2 countries.

Peng QuanResearch Center for Quality of Life and Applied Psychology, Guangdong Medical University, Dongguan, China; Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Room D502, Richards Medical Research Building, 3700 Hamilton Walk, Philadelphia, PA 19104, USA.
Lisheng HeSILC Business School, Shanghai University, Shanghai, China.
Tianxin MaoCenter for Magnetic Resonance Imaging Research and Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China; Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Room D502, Richards Medical Research Building, 3700 Hamilton Walk, Philadelphia, PA 19104, USA.
Zhuo FangCenter for Magnetic Resonance Imaging Research and Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China; Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Room D502, Richards Medical Research Building, 3700 Hamilton Walk, Philadelphia, PA 19104, USA.
Yao DengCenter for Magnetic Resonance Imaging Research and Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China; Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Room D502, Richards Medical Research Building, 3700 Hamilton Walk, Philadelphia, PA 19104, USA.
Yu PanCenter for Magnetic Resonance Imaging Research and Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China.
Xiaocui ZhangCenter for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Room D502, Richards Medical Research Building, 3700 Hamilton Walk, Philadelphia, PA 19104, USA.
Ke ZhaoCenter for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Room D502, Richards Medical Research Building, 3700 Hamilton Walk, Philadelphia, PA 19104, USA.
Hui LeiCenter for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Room D502, Richards Medical Research Building, 3700 Hamilton Walk, Philadelphia, PA 19104, USA.
John A DetreCenter for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Room D502, Richards Medical Research Building, 3700 Hamilton Walk, Philadelphia, PA 19104, USA.
Joseph W KableDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, USA.
Hengyi RaoCenter for Magnetic Resonance Imaging Research and Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China; Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Room D502, Richards Medical Research Building, 3700 Hamilton Walk, Philadelphia, PA 19104, USA. Electronic address: hengyi@pennmedicine.upenn.edu.
Shanghai International Studies University · CNUniversity of Pennsylvania · USGuangdong Medical College · CNShanghai University · CN

Funding

Neural mechanisms underlying the antidepressant effects of sleep deprivationR01MH107571 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GEHRMAN, PHILIP RICHARD, RAO, HENGYI · 2016 to 2019
$2.6M
Neural basis for differential vulnerability to sleep deprivationR01HL102119 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI RAO, HENGYI · 2010 to 2014
$2.3M
The role of brain arousal in resting-state functional MRIR01NS113889 · NINDS · PENNSYLVANIA STATE UNIVERSITY, THE · PI LIU, XIAO · 2020 to 2024
$1.8M
Neural correlates of cognitive fatigue and bright light treatment in older adultsR21AG051981 · NIA · UNIVERSITY OF PENNSYLVANIA · PI RAO, HENGYI · 2018 to 2019
$443k
NHLBI NIH HHS R01 HL102119NIA NIH HHS R21 AG051981NIMH NIH HHS R01 MH107571NINDS NIH HHS R01 NS113889
6 · The paper itself

Abstract

Human risk tolerance is highly idiosyncratic and individuals often show distinctive preferences when faced with similar risky situations. However, the neural underpinnings of individual differences in risk-taking remain unclear. Here we combined structural and perfusion MRI and examined the associations between brain anatomy and individual risk-taking behavior/risk tolerance in a sample of 115 healthy participants during the Balloon Analogue Risk Task, a well-established sequential risky decision paradigm. Both whole brain and region-of-interest analyses showed that the left cerebellum gray matter volume (GMV) has a strong association with individual risk-taking behavior and risk tolerance, outperforming the previously reported associations with the amygdala and right posterior parietal cortex (PPC) GMV. Left cerebellum GMV also accounted for risk tolerance and risk-taking behavior changes with aging. However, regional cerebral blood flow (CBF) provided no additional predictive power. These findings suggest a novel cerebellar anatomical contribution to individual differences in risk tolerance. Further studies are necessary to elucidate the underestimated important role of cerebellum in risk-taking.

Indexed as

Gray MatterMagnetic Resonance ImagingBrainCerebellumHumansRisk-TakingBalloon analogue risk taskCerebellumHierarchical Bayesian modelingRisk tolerance

Identifiers

PMID35346839
PMCPMC9680915
OpenAlexW4220674654

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.