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Research Article | Open Access

Personality–brain connection: Based on resting-state functional magnetic resonance imaging data-driven exploration

Hong Li1,2,3,§( ), Junjie Wang4,5,§
Department of Mental Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China
Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan 030012, Shanxi, China
Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan 030012, Shanxi, China
School of Psychology, Capital Normal University, Beijing 100048, China
Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China

§ These authors contributed equally to this work.

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Abstract

Background:

The personality-brain association mechanism has been a topic of interest in the field of neuroscience. Usually, the previous research strategy was to first group the population based on different personality traits, and then explore the brain mechanisms corresponding to different personality groups. At present, a "brain-first" research strategy, which uses data-driven approaches instead of personality traits to first group the population, has been adopted to further enhance study objectivity.

Methods:

Here, we used a data-driven approach following the "brain-first" research strategy to deeply mine the resting-state brain functional magnetic resonance imaging data of 119 healthy participants, classified subjects into different groups based on brain image characteristics, and used the Sixteen Personality Factor Questionnaire to explain the variabilities of resting-state brain characteristics between different groups.

Results:

We have identified 3 personality–brain connections, including the privateness–left frontoparietal network, liveliness–sensory–motor network, and vigilance–sensory–motor network.

Conclusion:

We conclude that the above-mentioned three personality factors are based on brain neural activity, independent of the subjective experience of the personality scale creator, and have stronger explanatory power of brain imaging features.

Keywords

data-drivenresting-state fMRIpersonality traitsleft frontoparietal networksensory–motor network

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Brain Science Advances
Volume 9 Issue 4,
December 2023
Pages 283-296
DOI: 10.26599/BSA.2023.9050019
Cite this article:
Li H, Wang J. Personality–brain connection: Based on resting-state functional magnetic resonance imaging data-driven exploration. Brain Science Advances, 2023, 9(4): 283-296. https://doi.org/10.26599/BSA.2023.9050019

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Received: 25 April 2023
Revised: 24 June 2023
Accepted: 26 June 2023
Published: 05 December 2023
© The authors 2023.

This article is published with open access at journals.sagepub.com/home/BSA

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
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