Divergent subregional information processing in mouse prefrontal cortex during working memory.

Autor: Sonneborn A; Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA., Bartlett L; Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA., Olson RJ; Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA., Milton R; Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA., Abbas AI; Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA. abbasat@ohsu.edu.; Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA. abbasat@ohsu.edu.; Research and Development Service, VA Portland Health Care System, Portland, OR, USA. abbasat@ohsu.edu.
Jazyk: angličtina
Zdroj: Communications biology [Commun Biol] 2024 Oct 01; Vol. 7 (1), pp. 1235. Date of Electronic Publication: 2024 Oct 01.
DOI: 10.1038/s42003-024-06926-8
Abstrakt: Working memory (WM) is a critical cognitive function allowing recent information to be temporarily held in mind to inform future action. This process depends on coordination between prefrontal cortex (PFC) subregions and other connected brain areas. However, few studies have examined the degree of functional specialization between these subregions throughout WM using electrophysiological recordings in freely-moving mice. Here we record single-units in three neighboring mouse medial PFC (mPFC) subregions-supplementary motor area (MOs), dorsomedial PFC (dmPFC), and ventromedial (vmPFC)-during a freely-behaving non-match-to-position WM task. The MOs is most active around task phase transitions, when it transiently represents the starting sample location. Dorsomedial PFC contains a stable population code, including persistent sample-location-specific firing during the delay period. Ventromedial PFC responds most strongly to reward-related information during choices. Our results reveal subregionally segregated WM computation in mPFC and motivate more precise consideration of the dynamic neural activity required for WM.
(© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)
Databáze: MEDLINE
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