Abstract
BackgroundAccumulating evidence shows that the dorsal lateral prefrontal cortex (dlPFC) is implicated in personality traits. In this study, resting‐state functional near infrared spectroscopy (fNIRS) combined with small‐world analysis was utilized to examine the relationship between the network properties of dlPFC and personality traits.MethodsThirty college students (aged between 20 and 29) were recruited from the University of Macau campus, whose personality scores were accessed with the NEO‐FFT questionnaire. Graph theory combined with resting‐state fNIRS data was used to quantify the network properties of dlPFC, whereas Pearson correlation analysis was performed to generate the relationship between the small‐world indicators and personality scores.ResultsCompared to matched random networks, the resting‐state brain networks exhibited a larger clustering coefficient (C p, 0.1–0.66), shorter characteristic path length (L p, 0.1–0.66), and higher global (E g, 0.1–0.66) and local efficiency (E loc, 0.1–0.65). In particular, conscientiousness (r = −0.63) and neuroticism (r = 0.40) respectively showed negative and positive correlation with the L p.ConclusionsThe resting‐state functional brain networks in dlPFC exhibited the small‐world properties. In addition, participants with higher conscientiousness scores showed a shorter L p.
Highlights
Human brain is a complex and dynamic system (Sporns, 2014), which organizes and controls individuals’ interaction with the environment
We explored the relationship between individuals’ variations in personality traits and the topological characteristics of resting-state functional networks in dorsal lateral prefrontal cortex (dlPFC) using functional near infrared spectroscopy (fNIRS)
−0.15 we discovered that rich hubs across HbO, HbR, or HbT measures were identified for the brain networks in dlPFC (Figure 4, Supporting Information Figures S5 and S6)
Summary
Human brain is a complex and dynamic system (Sporns, 2014), which organizes and controls individuals’ interaction with the environment. It was discovered that the dlPFC activation changes were positively correlated with extraversion (Kumari, ffytche, Williams, & Gray, 2004) Another interesting report demonstrated that the brain activation in left frontal cortical regions associated with negative pictures showed positive correlation with participants’ neuroticism scores (Canli et al, 2001). In this study, resting-state functional near infrared spectroscopy (fNIRS) combined with small-world analysis was utilized to examine the relationship between the network properties of dlPFC and personality traits. Graph theory combined with resting-state fNIRS data was used to quantify the network properties of dlPFC, whereas Pearson correlation analysis was performed to generate the relationship between the small-world indicators and personality scores. Conscientiousness (r = −0.63) and neuroticism (r = 0.40) respectively showed negative and positive correlation with the Lp. Conclusions: The resting-state functional brain networks in dlPFC exhibited the small-world properties. Participants with higher conscientiousness scores showed a shorter Lp
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