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Neural Trajectories of Conceptually Related Events.
Schafer, Matthew; Kamilar-Britt, Philip; Sahani, Vyoma; Bachi, Keren; Schiller, Daniela.
Afiliación
  • Schafer M; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai; New York City, NY.
  • Kamilar-Britt P; Department of Psychiatry, Icahn School of Medicine at Mount Sinai; New York City, NY.
  • Sahani V; Department of Psychiatry, Icahn School of Medicine at Mount Sinai; New York City, NY.
  • Bachi K; Department of Psychiatry, Icahn School of Medicine at Mount Sinai; New York City, NY.
  • Schiller D; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai; New York City, NY.
bioRxiv ; 2024 Feb 28.
Article en En | MEDLINE | ID: mdl-38187737
ABSTRACT
In a series of conceptually related episodes, meaning arises from the link between these events rather than from each event individually. How does the brain keep track of conceptually related sequences of events (i.e., conceptual trajectories)? In a particular kind of conceptual trajectory-a social relationship-meaning arises from a specific sequence of interactions. To test whether such abstract sequences are neurally tracked, we had participants complete a naturalistic narrative-based social interaction game, during functional magnetic resonance imaging. We modeled the simulated relationships as trajectories through an abstract affiliation and power space. In two independent samples, we found evidence of individual social relationships being tracked with unique sequences of hippocampal states. The neural states corresponded to the accumulated trial-to-trial affiliation and power relations between the participant and each character, such that each relationship's history was captured by its own neural trajectory. Each relationship had its own sequence of states, and all relationships were embedded within the same manifold. As such, we show that the hippocampus represents social relationships with ordered sequences of low-dimensional neural patterns. The number of distinct clusters of states on this manifold is also related to social function, as measured by the size of real-world social networks. These results suggest that our evolving relationships with others are represented in trajectory-like neural patterns.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos