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Investigations into the Neuroscience of the Self: Personality and Age from the Perspective of Intrinsic Neural Timescales
https://doi.org/10.15102/0002001099
https://doi.org/10.15102/0002001099831eb181-3315-4b95-ab04-4f0ce2c698b7
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HayashiShannonReikoFulltext.pdf (2.3 MB)
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HayashiShannonReikoExamAbstract.pdf (64 KB)
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| Item type | デフォルトアイテムタイプ（フル）(1) | |||||||||
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| PubDate | 2026-02-04 | |||||||||
| Title | ||||||||||
| Title | 自己に関する神経科学研究：内在的神経時間スケールの観点からの人格と年齢 | |||||||||
| Language | ja | |||||||||
| Title | ||||||||||
| Title | Investigations into the Neuroscience of the Self: Personality and Age from the Perspective of Intrinsic Neural Timescales | |||||||||
| Language | en | |||||||||
| Creator |
Hayashi, Shannon Reiko
× Hayashi, Shannon Reiko
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| Access Rights | ||||||||||
| Access Rights | open access | |||||||||
| Access Rights URI | http://purl.org/coar/access_right/c_abf2 | |||||||||
| Rights | ||||||||||
| Rights | © 2026 The Author. | |||||||||
| Rights | ||||||||||
| Rights Resource | https://creativecommons.org/licenses/by-nc/4.0/ | |||||||||
| Rights | Creative Commons Attribution-NonCommercial 4.0 International | |||||||||
| Subject | ||||||||||
| Subject Scheme | Other | |||||||||
| Subject | cognitive science | EEG brain imaging | theory of self | |||||||||
| Description | ||||||||||
| Description Type | Abstract | |||||||||
| Description | The Pattern Theory of Self (PTS) proposes that selfhood emerges from dynamic patterns of interrelated factors anchored in a living body, encompassing elements such as bodily processes, affective states, social interactions, and cognitive processes. Northoff’s temporospatial theory suggests that the brain’s intrinsic temporospatial dynamics constitute the neural foundation of self-experiences. Empirical evidence has demonstrated that longer neural timescales, measured via EEG autocorrelation windows (ACWs), are associated with self-related processing. However, the relationship between these temporal dynamics and individual characteristics remains unclear. This thesis presents four studies across two datasets to investigate the relationships between the behavioral, neural, and psychological components of the self-pattern. Using a Perceptual Crossing Experiment (PCE) paradigm involving real-time interpersonal interaction, Studies 1-2 examined personality-behavior relationships and age-ACW associations in a predominantly young adult sample. Using the Leipzig Mind-Brain-Body (LEMON) dataset, Studies 3-4 investigated age-ACW relationships across the adult lifespan and examined the connections between personality traits, neural timescales, and spontaneous thought patterns. The results revealed robust age effects on neural timescales, with older adults showing shorter ACWs (d = 0.38-0.51). However, personality traits showed minimal relationships with behavior during social interactions, no associations with neural timescales, and only selective relationships with thought patterns (primarily Neuroticism with negative/temporal thinking). These findings highlight the complex relationships between the different components of self-patterns. |
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| Language | en | |||||||||
| Resource Type | ||||||||||
| Resource Type Identifier | http://purl.org/coar/resource_type/c_db06 | |||||||||
| Resource Type | doctoral thesis | |||||||||
| Version Type | ||||||||||
| Version Type | VoR | |||||||||
| Version Type Resource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||
| Identifier Registration | ||||||||||
| Identifier Registration | 10.15102/0002001099 | |||||||||
| Identifier Registration Type | JaLC | |||||||||
| Dissertation Number | ||||||||||
| Dissertation Number | 甲第226号 | |||||||||
| Degree Name | ||||||||||
| Language | en | |||||||||
| Degree Name | Doctor of Philosophy | |||||||||
| Date Granted | ||||||||||
| Date Granted | 2026-01-31 | |||||||||
| Degree Grantor | ||||||||||
| Degree Grantor Name Identifier Scheme | kakenhi | |||||||||
| Degree Grantor Name Identifier | 38005 | |||||||||
| Language | en | |||||||||
| Degree Grantor Name | Okinawa Institute of Science and Technology Graduate University | |||||||||
