論文 - 詳細
| RRC ID | 88410 |
|---|---|
| 著者 | Oka YG, Isoda M. |
| タイトル | Brain mechanisms underlying self-other distinction for bodily self-recognition. |
| ジャーナル | Front Neural Circuits |
| Abstract |
Accumulating evidence indicates that single neurons in the primate brain specifically encode sensorimotor experience about the self or others. Although the self-other distinction has been a major focus of social neuroscience research, little is known about the underlying mechanisms that enable the recognition of bodily self. Here, we review the literature demonstrating that pre-reflective bodily self-recognition can be achieved through the spatiotemporally contingent integration of visual, somatosensory, and motor signals arising from sensorimotor experience. We propose a self-other inference model as a neural computation for self-other distinction, in which the likelihood of being oneself is updated constantly based on Bayesian causal inference using appearance, contingency, and perspective cues. The results of simulation incorporating a state-space point-process model revealed that our self-other inference model successfully captures the latent state representation about the self-other distinction from synthetic neural activity. We hypothesize that the self-other inference model is implemented by distinct brain areas that process individual cues and their integrative hubs. This hypothesis is experimentally testable using cutting-edge technologies such as area-specific or pathway-selective silencing. |
| 巻・号 | 20 |
| ページ | 1781653 |
| 公開日 | 2026-1-1 |
| DOI | 10.3389/fncir.2026.1781653 |
| PMID | 41858997 |
| PMC | PMC12995768 |
| MeSH | Animals Body Image* Brain* / physiology Humans Models, Neurological Recognition, Psychology* / physiology Self Concept* |
| IF | 3.156 |
| オルトメトリクス指標 |
オルトメトリクス指標項目
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| 最多言及媒体 | X(Twitter) |
| 各媒体での言及数の合計 | 2 |
| 過去6か月間でのオルトメトリクス指標の変動値 | 0.5 |
| リソース情報 | |
| ニホンザル | |