| ObjectiveThe research objective is to explore the correlation between the localization characteristics of brain function and the personality traits in children and adults by using localization characteristics analysis of fMRI data.At the same time,using the graph theory analysis to explore the whole brain functional connectivity and the relationship between the topological properties of brain and personality traits,and to analyze the stability of fMRI data analysis methods in the personality study.The research can provide the theory basis for the biological mechanism of personality traits and the development process personality.Methods(1)An open recruitment was used to collected participants.We collected a total of 60 children aged 7 to 15 and 196 adults aged 16 to 60.Then we collected their demographic information,resting state fMRI data and eysenck personality information.(2)Based on R2012 a MATLAB platform,we used DPARSF software to preprocess fMRI data and ReHo,ALFF,fALFF and used the network_construction software packages to analyze brain function network index,and then used REST V1.8 software,software SPSS 17.0 to statistical analysis.Results(1)Extroversion: In this study,there were significantly correlations between the extroversion score in children and adults and the local correlation activity features in the part of frontal gyrus,the bilateral insula and the part of the temporal lobe.In addition,there were also positive correlations between the extroversion score in adult and the local correlation activity features in the right cuneus and bilateral fusiform.At the same time,in the analysis of brain functional network node,subjects in the different groups of extroversion exist significant differences in the temporal lobe,fusiform gyrus,the amygdala and other brain regions.(2)Nervousness: In this study,there were significantly correlations between the nervousness score in children and adults and the local correlation activity features in the temporal lobe and the occipital gyrus.In addition,there were also positive correlations between the neuroticism score in children and the local correlation activity features in the right parahippocampal gyrus.At the same time,in the analysis of brain functional network node,subjects in the different groups of nervousness exist significant differences in the part of the temporal lobe,inferior frontal gyrus,insula,and fusiform.(3)Psychoticism: In this study,there were significantly correlations between the psychoticism score in children and adults and the local correlation activity features in the parietal lobe.In addition,there were also significant correlations between the psychoticism score in the median cingulate and paracingulate gyri and the orbital part of inferior frontal gyrus.At the same time,in the analysis of brain functional network node,subjects in the different groups of psychoticism exist significant differences in the orbital part of inferior frontal gyrus,the orbital part of middle frontal gyrus,the anterior cingulate and paracingulate gyri,fusiform and caudate nucleus.ConclusionsEysenck personality has some specific biological imaging markers,such as in the frontal lobe,temporal lobe,parietal lobe,the insula and fusiform area.And this research can provide theory basis for the biological mechanism and the neuroimage's development process of the Eysenck personality traits. |
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