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Dorsal periaqueductal gray ensembles represent approach and avoidance states.

ABSTRACT: Animals must balance needs to approach threats for risk assessment and to avoid danger. The dorsal periaqueductal gray (dPAG) controls defensive behaviors, but it is unknown how it represents states associated with threat approach and avoidance. We identified a dPAG threatavoidance ensemble in mice that showed higher activity farther from threats such as the open arms of the elevated plus maze and a predator. These cells were also more active during threat avoidance behaviors such as escape and freezing, even though these behaviors have antagonistic motor output. Conversely, the threat approach ensemble was more active during risk assessment behaviors and near threats. Furthermore, unsupervised methods showed that avoidance/approach states were encoded with shared activity patterns across threats. Lastly, the relative number of cells in each ensemble predicted threat avoidance across mice. Thus, dPAG ensembles dynamically encode threat approach and avoidance states, providing a flexible mechanism to balance risk assessment and danger avoidance.

SUBMITTER: Reis FM

PROVIDER: S-EPMC8133778 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Dorsal periaqueductal gray ensembles represent approach and avoidance states.

Reis Fernando McV FM Lee Johannes Y JY Maesta-Pereira Sandra S Schuette Peter J PJ Chakerian Meghmik M Liu Jinhan J La-Vu Mimi Q MQ Tobias Brooke C BC Ikebara Juliane M JM Kihara Alexandre Hiroaki AH Canteras Newton S NS Kao Jonathan C JC Adhikari Avishek A

eLife 20210506

Animals must balance needs to approach threats for risk assessment and to avoid danger. The dorsal periaqueductal gray (dPAG) controls defensive behaviors, but it is unknown how it represents states associated with threat approach and avoidance. We identified a dPAG threatavoidance ensemble in mice that showed higher activity farther from threats such as the open arms of the elevated plus maze and a predator. These cells were also more active during threat avoidance behaviors such as escape and ...[more]

PMID: 33955356

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Project description:Background: Parkinson’s disease (PD) is a progressive, degenerative disease with early-stage pathology hypothesized to manifest in brainstem regions. Vocal deficits, including soft monotone speech, result in significant clinical and quality of life issues and are present in 90% of PD patients; yet, the underlying pathology mediating these significant voice deficits is unknown. The Pink1-/- rat is a valid model of early-onset PD that presents with analogous vocal communication deficits (e.g. reduced loudness). Previous work shows abnormal α-synuclein protein aggregation in the periaqueductal gray (PAG), a brain region critical and necessary to the modulation of mammalian vocal behavior. In this study, we used high-throughput RNA sequencing to examine gene expression within the PAG of both male and female Pink1-/- rats as compared to age-matched wildtype controls. We used a bioinformatic approach to (1) test the hypothesis that loss of Pink1 in the PAG will influence expression of genes that interact with Pink1, (2) highlight other key genes that relate to Mendelian PD, and (3) catalog molecular targets important for the production of rat vocalizations. Results: Knockout of the Pink1 gene resulted in differentially expressed genes for both male and female rats. Pathway analysis highlighted several significant metabolic pathways. Weighted gene co-expression network analysis (WGCNA) was used to identify gene nodes and their interactions in (A) males, (B) females, and (C) combined-sexes datasets. For each analysis, within the module containing the Pink1 gene, Pink1 itself was the central node with the highest number of interactions with other genes including solute carriers, glutamate metabotropic receptors, and genes associated with protein localization. Strong connections between Pink1 and Krt2 and Hfe were found in both males and female datasets. In females a number of modules were significantly correlated with vocalization traits. Of interest, gene enrichment of the key vocal Cyan module in females showed a significant number of neuromodulatory genes including Nts, Slc6a4, Slc10a4, Ndnf, and Gpr160, that may be responsible for the modulation of rat vocalizations. The top biological pathways within the female Cyan vocal module included the regulation of membrane depolarization, indolalkylamine metabolic process, and monoamine transport. Conclusions: Overall, this work supports the premise that gene expression changes in the PAG may contribute to the vocal behavioral and deficits observed in this PD rat model. Additionally, this dataset identifies genes that represent new therapeutic targets for PD voice disorders.

Dataset Information

Dorsal periaqueductal gray ensembles represent approach and avoidance states.

Publications

Dorsal periaqueductal gray ensembles represent approach and avoidance states.

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