Narcissistic and Antisocial Personality Traits Are Both Encoded in the Triple Network: Connectomics Evidence.

IF 2.8 2区 心理学 Q2 NEUROSCIENCES
Khanitin Jornkokgoud, Richard Bakiaj, Peera Wongupparaj, Remo Job, Alessandro Grecucci
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Abstract

The neural bases of narcissistic and antisocial traits remain under debate. A key question is whether these traits are encoded within the triple network-comprising the default mode (DMN), salience (SN), and fronto-parietal (FPN) networks-and whether they impact these networks similarly. We conducted connectome-based analyses on resting-state fMRI data from 183 participants, examining graph-theoretical metrics in the DMN, SN, and FPN, using the visual and sensorimotor networks as controls. Predictive models of narcissistic and antisocial traits were developed using stepwise multiple regression and Random Forest regression to ensure generalizability. Seed-based analyses were conducted using regions identified by these models. Our findings revealed clear involvement of the triple network in both traits, supporting a shared neural substrate. Both traits were negatively predicted by the anterior cingulate cortex of the SN, reflecting reduced danger awareness and increased risky behaviors. Conversely, both were positively predicted by the lateral prefrontal cortex of the FPN, suggesting augmented strategic thinking to manipulate others and increased planning skills to achieve personal goals. Besides similarities, there were differences. Specific hubs of the DMN were positively associated with narcissism but negatively with antisocial traits, possibly explaining their differences in self-reflection and thinking about the self, largely present in the former, but usually reduced in the latter. These results expand on prior evidence linking the triple network to personality traits and suggest both shared and distinct neural mechanisms for narcissism and antisociality. These findings may help inform the development of biomarkers for personality pathology and guide biologically informed interventions.

自恋和反社会的人格特征都在三重网络中编码:连接组学证据。
自恋和反社会特征的神经基础仍然存在争议。一个关键的问题是,这些特征是否在三重网络(包括默认模式(DMN)、显著性(SN)和额顶叶(FPN)网络)中编码,以及它们是否对这些网络产生类似的影响。我们使用视觉和感觉运动网络作为对照,对183名参与者的静息状态fMRI数据进行了基于连接体的分析,检查了DMN、SN和FPN的图理论指标。利用逐步多元回归和随机森林回归建立了自恋和反社会特征的预测模型,以确保其通用性。利用这些模型确定的区域进行基于种子的分析。我们的研究结果表明,这两种特征明显涉及三重网络,支持共享的神经基质。这两个特征都被SN的前扣带皮层负向预测,反映了危险意识的降低和危险行为的增加。相反,FPN的外侧前额叶皮层对两者都有积极的预测,这表明增强了操纵他人的战略思维和提高了实现个人目标的计划技能。除了相似之处,还有不同之处。DMN的特定中心与自恋呈正相关,但与反社会特征呈负相关,这可能解释了他们在自我反思和自我思考方面的差异,前者主要存在,后者通常减少。这些结果扩展了先前将三重网络与人格特征联系起来的证据,并表明了自恋和反社会的共同和独特的神经机制。这些发现可能有助于人格病理学生物标志物的发展,并指导生物学上知情的干预措施。
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来源期刊
Psychophysiology
Psychophysiology 医学-神经科学
CiteScore
6.80
自引率
8.10%
发文量
225
审稿时长
2 months
期刊介绍: Founded in 1964, Psychophysiology is the most established journal in the world specifically dedicated to the dissemination of psychophysiological science. The journal continues to play a key role in advancing human neuroscience in its many forms and methodologies (including central and peripheral measures), covering research on the interrelationships between the physiological and psychological aspects of brain and behavior. Typically, studies published in Psychophysiology include psychological independent variables and noninvasive physiological dependent variables (hemodynamic, optical, and electromagnetic brain imaging and/or peripheral measures such as respiratory sinus arrhythmia, electromyography, pupillography, and many others). The majority of studies published in the journal involve human participants, but work using animal models of such phenomena is occasionally published. Psychophysiology welcomes submissions on new theoretical, empirical, and methodological advances in: cognitive, affective, clinical and social neuroscience, psychopathology and psychiatry, health science and behavioral medicine, and biomedical engineering. The journal publishes theoretical papers, evaluative reviews of literature, empirical papers, and methodological papers, with submissions welcome from scientists in any fields mentioned above.
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