Intrinsic Functional and Structural Brain Connectivity in Humans Predicts Individual Social Comparison Orientation

被引:2
|
作者
Jung, Wi Hoon [1 ]
Kim, Hackjin [2 ]
机构
[1] Daegu Univ, Dept Psychol, Gyongsan, South Korea
[2] Korea Univ, Dept Psychol, Seoul, South Korea
来源
FRONTIERS IN PSYCHIATRY | 2020年 / 11卷
基金
新加坡国家研究基金会;
关键词
diffusion tensor imaging; functional connectivity; resting-state fMRI; social comparison orientation; structural connectivity; MOTION CORRECTION; NEURAL BASIS; REWARD; METAANALYSIS; STRIATUM; PARIETAL; CURRENCY; NETWORKS; TRACKING; SYSTEMS;
D O I
10.3389/fpsyt.2020.00809
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Social comparison orientation (SCO), the tendency to compare oneself with others, is universal, varies widely across individuals, and predicts important life and health outcomes. However, the neural mechanism underlying individual differences in SCO is still not well-understood. In the present study, we identified intrinsic neural markers of SCO in healthy young adults (n = 42) using a multimodal neuroimaging approach that included diffusion tensor imaging and resting-state functional MRI data. We found that higher SCO was associated with weaker structural and functional connectivity (SC, FC) strengths between the ventral striatum and the medial prefrontal cortex, which are core regions of the brain reward network. Additionally, individual SCO was negatively associated with neural fluctuations in the intraparietal sulcus (IPS), part of the frontoparietal network, and positively with FC between the IPS and anterior insula/amygdala cluster. This finding was further confirmed by the observation of independently-defined, large-scale, inter-network FC between the frontoparietal network and cingulo-opercular network. Taken together, these results provide novel evidence for intrinsic functional and structural connectivity of the human brain associated with individual differences in SCO.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Intrinsic functional connectivity predicts individual differences in distractibility
    Poole, Victoria N.
    Robinson, Meghan E.
    Singleton, Omar
    DeGutis, Joseph
    Milberg, William P.
    McGlinchey, Regina E.
    Salat, David H.
    Esterman, Michael
    [J]. NEUROPSYCHOLOGIA, 2016, 86 : 176 - 182
  • [2] Intrinsic Amygdala-Cortical Functional Connectivity Predicts Social Network Size in Humans
    Bickart, Kevin C.
    Hollenbeck, Mark C.
    Barrett, Lisa Feldman
    Dickerson, Bradford C.
    [J]. JOURNAL OF NEUROSCIENCE, 2012, 32 (42): : 14729 - 14741
  • [3] Organization of intrinsic functional brain connectivity predicts decisions to reciprocate social behavior
    Caceda, Ricardo
    James, G. Andrew
    Gutman, David A.
    Kilts, Clinton D.
    [J]. BEHAVIOURAL BRAIN RESEARCH, 2015, 292 : 478 - 483
  • [4] Functional brain connectivity during social attention predicts individual differences in social skill
    Brindley, Samantha R.
    Skyberg, Amalia M.
    Graves, Andrew J.
    Connelly, Jessica J.
    Puglia, Meghan H.
    Morris, James P.
    [J]. SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 2023, 18 (01)
  • [5] Amygdala Functional and Structural Connectivity Predicts Individual Risk Tolerance
    Jung, Wi Hoon
    Lee, Sangil
    Lerman, Caryn
    Kable, Joseph W.
    [J]. NEURON, 2018, 98 (02) : 394 - +
  • [6] Intrinsic Interhemispheric Hippocampal Functional Connectivity Predicts Individual Differences in Memory Performance Ability
    Wang, Liang
    Negreira, Alyson
    La Violette, Peter
    Bakkour, Akram
    Sperling, Reisa A.
    Dickerson, Bradford C.
    [J]. HIPPOCAMPUS, 2010, 20 (03) : 345 - 351
  • [7] A Comparison of Static and Dynamic Functional Connectivities for Identifying Subjects and Biological Sex Using Intrinsic Individual Brain Connectivity
    Sreevalsan S. Menon
    K. Krishnamurthy
    [J]. Scientific Reports, 9
  • [8] A Comparison of Static and Dynamic Functional Connectivities for Identifying Subjects and Biological Sex Using Intrinsic Individual Brain Connectivity
    Menon, Sreevalsan S.
    Krishnamurthy, K.
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [9] Intrinsic functional connectivity of motor and heteromodal association cortex predicts individual differences in regulatory focus
    Kim, Nayoung
    Kim, M. Justin
    Strauman, Timothy J.
    Hariri, Ahmad R.
    [J]. PNAS NEXUS, 2024, 3 (05):
  • [10] Whole-brain intrinsic functional connectivity predicts symptoms and functioning in early psychosis
    Smucny, Jason
    Wylie, Korey P.
    Lesh, Tyler A.
    Carter, Cameron S.
    Tregellas, Jason R.
    [J]. JOURNAL OF PSYCHIATRIC RESEARCH, 2024, 175 : 411 - 417