The Relationship Between Personality Traits and Well-Being via Brain Functional Connectivity

Li, Liangfang; Li, Liman Man Wai; Ma, Junji; Lu, Angela; Dai, Zhengjia

doi:10.1007/s10902-023-00674-y

Cited by 4 publications

(1 citation statement)

References 130 publications

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“…Moreover, the above examples chiefly concern personalsource data. The diverse processes employed to obtain external-source data, from fMRI data on brain networks as a potential index of well-being (Li et al, 2023), to identifying levels of extraversion among students by tracking their e-learning behavior (Lai et al, 2020) or Facebook posts (Back et al, 2010) suggest that at least some of these measures of the same attribute are likely to diverge. Note that fMRI and e-learning provide relatively indirect assessments, a state of affairs that might lead to some uncertainty as to what, exactly, is being measured.…”

Section: Autobiographical Narrative Datamentioning

confidence: 99%

On Personality Measures and Their Data: A Classification of Measurement Approaches and Their Recommended Uses

Mayer,

Bryan

2024

Pers Soc Psychol Rev

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We employ a new approach for classifying methods of personality measurement such as self-judgment, mental ability, and lifespace measures and the data they produce. We divide these measures into two fundamental groups: personal-source data, which arise from the target person’s own reports, and external-source data, which derive from the areas surrounding the person. These two broad classes are then further divided according to what they target and the response processes that produce them. We use the model to organize roughly a dozen kinds of data currently employed in the field. With this classification system in hand, we describe how much we might expect two types of measures of the same attribute to converge—and explain why methods often yield somewhat different results. Given that each measurement method has its own strengths and weaknesses, we examine the pros and cons of selecting a given type of measure to assess a specific area of personality.

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Section: Autobiographical Narrative Datamentioning

confidence: 99%

On Personality Measures and Their Data: A Classification of Measurement Approaches and Their Recommended Uses

Mayer,

Bryan

2024

Pers Soc Psychol Rev

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Cortical microstructural brain network mediates the association between personality trait of agreeableness and life satisfaction

Wu,

Fan,

Yan

et al. 2023

Cerebral Cortex

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Personality traits are commonly regarded as relatively stable, whereas life satisfaction can fluctuate with time and circumstances, shaped by external influences and personal encounters. The correlation between personality traits and life satisfaction is well-established, yet the underlying neural mechanisms of the myelin-based microstructural brain network connecting them remain unclear. Here, we constructed individual-level whole-brain myelin microstructural networks from the MRI data of 1,043 healthy adults and performed correlation analysis to detect significant personality trait-related and life satisfaction-related subnetworks. A mediation analysis was used to verify whether the shared structural basis of personality traits and life satisfaction significantly mediated their association. The results showed that agreeableness positively correlated with life satisfaction. We identified a shared structural basis of the personality trait of agreeableness and life satisfaction. The regions comprising this overlapping network include the superior parietal lobule, inferior parietal lobule, and temporoparietal junction. Moreover, the shared microstructural connections mediate the association between the personality trait of agreeableness and life satisfaction. This large-scale neuroimaging investigation substantiates a mediation framework for understanding the microstructural connections between personality and life satisfaction, offering potential targets for assessment and interventions to promote human well-being.

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Classification method of brain functional connections in deaf children’s tone processing based on one-dimensional convolutional network

Shi,

2023

2023 4th International Conference on Computers and Artificial Intelligence Technology (CAIT)

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The Relationship Between Personality Traits and Well-Being via Brain Functional Connectivity

Cited by 4 publications

References 130 publications

On Personality Measures and Their Data: A Classification of Measurement Approaches and Their Recommended Uses

On Personality Measures and Their Data: A Classification of Measurement Approaches and Their Recommended Uses

Cortical microstructural brain network mediates the association between personality trait of agreeableness and life satisfaction

Classification method of brain functional connections in deaf children’s tone processing based on one-dimensional convolutional network

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