Cognitive processing speed and accuracy are intrinsically different in genetic architecture and brain phenotypes

Since the birth of cognitive science, researchers have used reaction time and accuracy to measure cognitive ability. Although recognition of these two measures is often based on empirical observations, the underlying consensus is that most cognitive behaviors may be along two fundamental dimensions: cognitive processing speed (CPS) and cognitive processing accuracy (CPA). In this study, we used genomic-wide association studies (GWAS) data from 14 cognitive traits to show the presence of those two factors and revealed the specific neurobiological basis underlying them. We identified that CPS and CPA had distinct brain phenotypes (e.g. white matter microstructure), neurobiological bases (e.g. postsynaptic membrane), and developmental periods (i.e. late infancy). Moreover, those two factors showed differential associations with other health-related traits such as screen exposure and sleep status, and a significant causal relationship with psychiatric disorders such as major depressive disorder and schizophrenia. Utilizing an independent cohort from the Adolescent Brain Cognitive Development (ABCD) study, we also uncovered the distinct contributions of those two factors on the cognitive development of young adolescents. These findings reveal two fundamental factors underlying various cognitive abilities, elucidate the distinct brain structural fingerprint and genetic architecture of CPS and CPA, and hint at the complex interrelationship between cognitive ability, lifestyle, and mental health.

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Publication Details

Journal
Nature Communications
Published
2024-09-06
DOI
https://doi.org/10.1038/s41467-024-52222-8
Citations
14
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
7.70

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article

Cognitive processing speed and accuracy are intrinsically different in genetic architecture and brain phenotypes

Zhiyong Zhao, Dan Wu, Xixi Dang, Mingyang Li et al.
14 citations
Nature Communications
Genetic Associations and Epidemiology
7.70
article

Cognitive processing speed and accuracy are intrinsically different in genetic architecture and brain phenotypes

Zhiyong Zhao, Dan Wu, Xixi Dang, Mingyang Li, Xinyi Xu, Zhifan Chen, Yiwei Chen
article en
14 citations

Abstract

Since the birth of cognitive science, researchers have used reaction time and accuracy to measure cognitive ability. Although recognition of these two measures is often based on empirical observations, the underlying consensus is that most cognitive behaviors may be along two fundamental dimensions: cognitive processing speed (CPS) and cognitive processing accuracy (CPA). In this study, we used genomic-wide association studies (GWAS) data from 14 cognitive traits to show the presence of those two factors and revealed the specific neurobiological basis underlying them. We identified that CPS and CPA had distinct brain phenotypes (e.g. white matter microstructure), neurobiological bases (e.g. postsynaptic membrane), and developmental periods (i.e. late infancy). Moreover, those two factors showed differential associations with other health-related traits such as screen exposure and sleep status, and a significant causal relationship with psychiatric disorders such as major depressive disorder and schizophrenia. Utilizing an independent cohort from the Adolescent Brain Cognitive Development (ABCD) study, we also uncovered the distinct contributions of those two factors on the cognitive development of young adolescents. These findings reveal two fundamental factors underlying various cognitive abilities, elucidate the distinct brain structural fingerprint and genetic architecture of CPS and CPA, and hint at the complex interrelationship between cognitive ability, lifestyle, and mental health.

Nature CommunicationsVol. 15(1)
Ministry of Education (NZ), Hangzhou Normal University (CN), Children's Hospital of Zhejiang University (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, National Institutes of Health, National Key Research and Development Program of China, National Institute of Mental Health, Science and Technology Department of Zhejiang Province, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 2%
Genetic Associations and Epidemiology
7.70
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