Article ; Online: Restoring the youthful state of striatal plasticity in aged mice re-enables cognitive control of action.
2023 Volume 33, Issue 10, Page(s) 1997–2007.e5
Abstract: Multidisciplinary evidence suggests that the control of voluntary action arbitrates between two major forms of behavioral processing: cognitively guided (or goal directed) and autonomously guided (or habitual). Brain-state irregularities affecting the ... ...
Abstract | Multidisciplinary evidence suggests that the control of voluntary action arbitrates between two major forms of behavioral processing: cognitively guided (or goal directed) and autonomously guided (or habitual). Brain-state irregularities affecting the striatum-such as aging-commonly shift control toward the latter, although the responsible neural mechanisms remain unknown. Combining instrumental conditioning with cell-specific mapping and chemogenetics in striatal neurons, we explored strategies that invigorate goal-directed capacity in aged mice. We found that, under conditions favoring goal-directed control, aged animals resiliently expressed autonomously guided behavior, a response that was underpinned by a characteristic one-to-one functional engagement of the two main neuronal populations in the striatum-D1- and D2-dopamine receptor-expressing spiny projection neurons (SPNs). Chemogenetically induced desensitization of D2-SPN signaling in aged transgenic mice recapitulated the striatal plasticity state observed in young mice, an effect that shifted behavior toward vigorous, goal-directed action. Our findings contribute to the understanding of the neural bases of behavioral control and propose neural system interventions that enhance cognitive functioning in habit-prone brains. |
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MeSH term(s) | Mice ; Animals ; Corpus Striatum/physiology ; Neurons/physiology ; Mice, Transgenic ; Conditioning, Operant/physiology ; Cognition |
Language | English |
Publishing date | 2023-05-03 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 1071731-6 |
ISSN | 1879-0445 ; 0960-9822 |
ISSN (online) | 1879-0445 |
ISSN | 0960-9822 |
DOI | 10.1016/j.cub.2023.04.020 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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