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

Annemarie Wolff, Daniel A. Di Giovanni, Javier Gómez-Pilar, Takashi Nakao, Zirui Huang, André Longtin, Georg Northoff

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)789-803
Number of pages5
JournalHuman Brain Mapping
Volume40
Issue number3
DOIs
Publication statusPublished - Feb 15 2019
Externally publishedYes

Fingerprint

Consciousness
Electroencephalography
Ego
Gyrus Cinguli
Brain
Tomography
Power (Psychology)

Keywords

  • EEG
  • resting-state
  • scale-free
  • self
  • self-consciousness
  • temporal structure

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

Cite this

Wolff, A., Di Giovanni, D. A., Gómez-Pilar, J., Nakao, T., Huang, Z., Longtin, A., & Northoff, G. (2019). The temporal signature of self: Temporal measures of resting-state EEG predict self-consciousness. Human Brain Mapping, 40(3), 789-803. https://doi.org/10.1002/hbm.24412

The temporal signature of self : Temporal measures of resting-state EEG predict self-consciousness. / Wolff, Annemarie; Di Giovanni, Daniel A.; Gómez-Pilar, Javier; Nakao, Takashi; Huang, Zirui; Longtin, André; Northoff, Georg.

In: Human Brain Mapping, Vol. 40, No. 3, 15.02.2019, p. 789-803.

Research output: Contribution to journalArticle

Wolff, A, Di Giovanni, DA, Gómez-Pilar, J, Nakao, T, Huang, Z, Longtin, A & Northoff, G 2019, 'The temporal signature of self: Temporal measures of resting-state EEG predict self-consciousness', Human Brain Mapping, vol. 40, no. 3, pp. 789-803. https://doi.org/10.1002/hbm.24412
Wolff A, Di Giovanni DA, Gómez-Pilar J, Nakao T, Huang Z, Longtin A et al. The temporal signature of self: Temporal measures of resting-state EEG predict self-consciousness. Human Brain Mapping. 2019 Feb 15;40(3):789-803. https://doi.org/10.1002/hbm.24412
Wolff, Annemarie ; Di Giovanni, Daniel A. ; Gómez-Pilar, Javier ; Nakao, Takashi ; Huang, Zirui ; Longtin, André ; Northoff, Georg. / The temporal signature of self : Temporal measures of resting-state EEG predict self-consciousness. In: Human Brain Mapping. 2019 ; Vol. 40, No. 3. pp. 789-803.
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