The temporal signature of self: Temporal measures of resting-state EEG predict self-consciousness

被引:73
作者
Wolff, Annemarie [1 ]
Di Giovanni, Daniel A. [2 ]
Gomez-Pilar, Javier [3 ]
Nakao, Takashi [4 ]
Huang, Zirui [5 ]
Longtin, Andre [6 ,7 ]
Northoff, Georg [1 ,8 ]
机构
[1] Univ Ottawa, Inst Mental Hlth Res, 1145 Carling Ave, Ottawa, ON K1Z 7K4, Canada
[2] McGill Univ, Montreal Neurol Inst & Hosp, Dept Neurol & Neurosurg, Montreal, PQ, Canada
[3] Univ Valladolid, Higher Tech Sch Telecommun Engn, Biomed Engn Grp, Valladolid, Spain
[4] Hiroshima Univ, Grad Sch Educ, Dept Psychol, Hiroshima, Japan
[5] Univ Michigan, Dept Anesthesiol, Sch Med, Ctr Consciousness Sci, Ann Arbor, MI 48109 USA
[6] Univ Ottawa, Phys Dept, Ottawa, ON, Canada
[7] Univ Ottawa, Brain & Mind Res Inst, Ottawa, ON, Canada
[8] Zhejiang Univ, Mental Hlth Ctr, Sch Med, Hangzhou, Zhejiang, Peoples R China
基金
国家重点研发计划; 加拿大健康研究院;
关键词
EEG; resting-state; scale-free; self; self-consciousness; temporal structure; BRAIN ACTIVITY; NEURONAL OSCILLATIONS; NEURAL ACTIVITY; SCALE; DYNAMICS; METAANALYSIS; PHASE; SPECIFICITY; RELATEDNESS; AMPLITUDE;
D O I
10.1002/hbm.24412
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The self is the core of our mental life. Previous investigations have demonstrated a strong neural overlap between self-related activity and resting state activity. This suggests that information about self-relatedness is encoded in our brain's spontaneous activity. The exact neuronal mechanisms of such rest-self containment, however, remain unclear. The present EEG study investigated temporal measures of resting state EEG to relate them to self-consciousness. This was obtained with the self-consciousness scale (SCS) which measures Private, Public, and Social dimensions of self. We demonstrate positive correlations between Private self-consciousness and three temporal measures of resting state activity: scale-free activity as indexed by the power-law exponent (PLE), the auto-correlation window (ACW), and modulation index (MI). Specifically, higher PLE, longer ACW, and stronger MI were related to higher degrees of Private self-consciousness. Finally, conducting eLORETA for spatial tomography, we found significant correlation of Private self-consciousness with activity in cortical midline structures such as the perigenual anterior cingulate cortex and posterior cingulate cortex. These results were reinforced with a data-driven analysis; a machine learning algorithm accurately predicted an individual as having a high or low Private self-consciousness score based on these measures of the brain's spatiotemporal structure. In conclusion, our results demonstrate that Private self-consciousness is related to the temporal structure of resting state activity as featured by temporal nestedness (PLE), temporal continuity (ACW), and temporal integration (MI). Our results support the hypothesis that self-related information is temporally contained in the brain's resting state. Rest-self containment can thus be featured by a temporal signature.
引用
收藏
页码:789 / 803
页数:15
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