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Cerebellar circuits for disinhibition and synchronous inhibition.
Lackey, Elizabeth P; Moreira, Luis; Norton, Aliya; Hemelt, Marie E; Osorno, Tomas; Nguyen, Tri M; Macosko, Evan Z; Lee, Wei-Chung Allen; Hull, Court A; Regehr, Wade G.
Afiliação
  • Lackey EP; Department of Neurobiology, Harvard Medical School, Boston MA, United States.
  • Moreira L; Department of Neurobiology, Harvard Medical School, Boston MA, United States.
  • Norton A; Department of Neurobiology, Harvard Medical School, Boston MA, United States.
  • Hemelt ME; Department of Neurobiology, Duke University Medical School, Durham, United States.
  • Osorno T; Department of Neurobiology, Harvard Medical School, Boston MA, United States.
  • Nguyen TM; Department of Neurobiology, Harvard Medical School, Boston MA, United States.
  • Macosko EZ; Department of Neurobiology, Harvard Medical School, Boston MA, United States.
  • Lee WA; Broad Institute of Harvard and MIT, Stanley Center for Psychiatric Research, Cambridge, MA, USA.
  • Hull CA; Department of Neurobiology, Harvard Medical School, Boston MA, United States.
  • Regehr WG; Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
bioRxiv ; 2023 Sep 15.
Article em En | MEDLINE | ID: mdl-37745401
The cerebellar cortex contributes to diverse behaviors by transforming mossy fiber inputs into predictions in the form of Purkinje cell (PC) outputs, and then refining those predictions1. Molecular layer interneurons (MLIs) account for approximately 80% of the inhibitory interneurons in the cerebellar cortex2, and are vital to cerebellar processing1,3. MLIs are thought to primarily inhibit PCs and suppress the plasticity of excitatory synapses onto PCs. MLIs also inhibit, and are electrically coupled to, other MLIs4-7, but the functional significance of these connections is not known1,3. Behavioral studies suggest that cerebellar-dependent learning is gated by disinhibition of PCs, but the source of such disinhibition has not been identified8. Here we find that two recently recognized MLI subtypes2, MLI1 and MLI2, have highly specialized connectivity that allows them to serve very different functional roles. MLI1s primarily inhibit PCs, are electrically coupled to each other, fire synchronously with other MLI1s on the millisecond time scale in vivo, and synchronously pause PC firing. MLI2s are not electrically coupled, they primarily inhibit MLI1s and disinhibit PCs, and are well suited to gating cerebellar-dependent learning8. These findings require a major reevaluation of processing within the cerebellum in which disinhibition, a powerful circuit motif present in the cerebral cortex and elsewhere9-17, greatly increases the computational power and flexibility of the cerebellum. They also suggest that millisecond time scale synchronous firing of electrically-coupled MLI1s helps regulate the output of the cerebellar cortex by synchronously pausing PC firing, which has been shown to evoke precisely-timed firing in PC targets18.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article