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Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Background The development of machine learning models for aiding in the diagnosis of mental disorder is recognized as a significant …
Zhiyi Chen, Bowen Hu, Xuerong Liu, Benjamin Becker, ... Chuan-Peng, H
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Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
The Chinese Open Science Network (COSN) Building an Open Science Community From Scratch
Open Science is becoming a mainstream scientific ideology in psychology and related fields. However, researchers, especially early-career researchers (ECRs) in developing countries, are facing significant hurdles in engaging in Open Science and moving it forward.
Jin, H, Wang, Q, Yang, Y-F, Zhang, H, Gao, M, Jin, S, Chen, S, Xu, T, YuanRui, Z, Chen, J, Xiao, Q, Yang, J, Wang, X, Geng, H, Ge, J, Wang, W-W, Chen, X, Zhang, L, Zuo X-N, Chuan-Peng, Hu
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The Chinese Open Science Network (COSN) Building an Open Science Community From Scratch
贝叶斯因子序列分析：实验设计中平衡信息与效率的新方法
实验设计的关键是平衡信息量与效率。贝叶斯因子序列分析利用贝叶斯因子不断更新证据的特点，通过贝叶斯因子标准和在收集数据过程的序列分析来平衡信息量与效率.
Yuanrui Zheng, Hu Chuan-Peng
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Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
In this systematic review of 517 studies presenting 555 neuroimaging-based AI models for psychiatric diagnostics, most models had a high overall risk of bias and had poor clinical applicability. All articles provided incomplete reports for validation.
Chen, Z, Liu, X, Yang, Q, Wang, Y. J, Miao, K, Gong, Z, Chuan-Peng, H
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Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
The Psychological Science Accelerator's COVID-19 rapid-response dataset
In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures.
Erin M. Buchanan, Savannah C. Lewis, Bastien Paris, Patrick S. Forscher, ... Chuan-Peng, H, ... Maximilian A. Primbs
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The Psychological Science Accelerator's COVID-19 rapid-response dataset
Engaging the open science framework in quantifying and tracing scientists' research credits
Debates on how to determine positions in research authorship have not subsided. An institution funded by the United States National Institute of Environmental Health Sciences (NIEHS) provided reports for investigating authorship disputes from 6,700 researchers in the world.
Chen, Z, Liu, X, Miao, K, Liao, X, Zhang, X, Feng, Z, Chuan-Peng, H
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Engaging the open science framework in quantifying and tracing scientists' research credits
In COVID-19 Health Messaging, Loss Framing Increases Anxiety with Little-to-No Concomitant Benefits:Experimental Evidence from 84 Countries
The COVID-19 pandemic (and its aftermath) highlights a critical need to communicate health information effectively to the global public.
Dorison, C A, Lerner, J S, Heller, B H, Rothman, A J, ... Chuan-Peng, H, ... Pinto, I
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In COVID-19 Health Messaging, Loss Framing Increases Anxiety with Little-to-No Concomitant Benefits:Experimental Evidence from 84 Countries
Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample
The study of moral judgements often centres on moral dilemmas in which options consistent with deontological perspectives (that is, emphasizing rules, individual rights and duties) are in conflict with options consistent with utilitarian judgements (that is, following the greater good based on consequences).
Bago, B, Kovacs, M, Protzko, J, Nagy, T, Kekecs, Z, ... Chuan-Peng, Hu, ... Aczel, B
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Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample
Obliviate! Reviewing Neural Fundamentals of Intentional Forgetting from a Meta-Analytic Perspective
Intentional forgetting (IF) is an important adaptive mechanism necessary for correct memory functioning, optimal psychological wellbeing, and appropriate daily performance.
Gamboa, O L, Chuan-Peng, H, Salas, C E, Yuen, K S L
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Obliviate! Reviewing Neural Fundamentals of Intentional Forgetting from a Meta-Analytic Perspective
Promoting computational psychiatry in China
Computational psychiatry holds promise for basic research and clinical practice in safeguarding mental health. In this Comment, we discuss why China needs computational psychiatry, why its development in China will benefit the field globally, and the challenges of promoting computational psychiatry in China and how to tackle them.
Geng, H, Chen, J, Chuan-Peng, H, Jin, J, Li, Y, ... Zhang, L
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