Search bioRxiv⌕ Search

bioRxiv · 10.1101/2022.01.19.476981

A genetically-defined population in the lateral and ventrolateral periaqueductal gray selectively promotes flight to safety

Abstract

When encountering external threats, survival depends on the engagement of appropriate defensive reactions to minimize harm. There are major clinical implications for identifying the neural circuitry and activation patterns that produce such defensive reactions, as maladaptive overactivation of these circuits underlies pathological human anxiety and fear responses. A compelling body of work has linked activation of large glutamatergic neuronal populations in the midbrain periaqueductal gray (PAG) to defensive reactions such as freezing, flight and threat-induced analgesia. These pioneering data have firmly established that the overarching functional organization axis of the PAG is along anatomically-defined columnar boundaries. Accordingly, broad activation of the dorsolateral column induces flight, while activation of the lateral or ventrolateral (l and vl) columns induces freezing. However, the PAG contains a diverse arrangement of cell types that vary in neurochemical profile and location. How these cell types contribute to defensive responses remains largely unknown, indicating that targeting sparse, genetically-defined populations can lead to a deeper understanding of how the PAG generates a wide array of behaviors. Though several prior works showed that broad excitation of the lPAG or vlPAG causes freezing, we found that activation of lateral and ventrolateral PAG (l/vlPAG) cholecystokinin-expressing (cck) cells selectively causes flight to safer regions within an environment. Furthermore, inhibition of l/vlPAG-cck cells reduces avoidance of a predatory threat without altering other defensive behaviors like freezing. Lastly, l/vlPAG-cck activity increases away from threat and during movements towards safer locations. In contrast, activating l/vlPAG cells pan-neuronally promoted freezing and these cells were activated near threat. These data underscore the importance of investigating genetically-identified PAG cells. Using this approach, we found a sparse population of cck-expressing l/vlPAG cells that have distinct and opposing function and neural activation motifs compared to the broader local ensemble defined solely by columnar anatomical boundaries. Thus, in addition to the anatomical columnar architecture of the APG, the molecular identity of PAG cells may confer an additional axis of functional organization, revealing unexplored functional heterogeneity.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

La-Vu, M., Sethi, E., Maesta-Pereira, S., Schuette, P. J., Tobias, B. C., Reis, F. M., Wang, W., Leonard, S. J., Lin, L., Adhikari, A.. 2022-01-21. A genetically-defined population in the lateral and ventrolateral periaqueductal gray selectively promotes flight to safety. https://doi.org/10.1101/2022.01.19.476981

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience↗

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience↗

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience↗