Impaired pain in mice lacking first-order posterior medial thalamic neurons.

The thalamus plays an important role in sensory and motor information processing by mediating communication between the periphery and the cerebral cortex. Alterations in thalamic development have profound consequences on sensory and motor function. In this study, we investigated a mouse model in which thalamic nuclei formation is disrupted because of the absence of Sonic hedgehog ( Shh ) expression from 2 key signaling centers that are required for embryonic forebrain development.

Taking a deep breath: How a brainstem pathway integrates pain and breathing.

In this issue of Neuron, Liu et al. (2022) shed light on the neural circuits supporting pain- and anxiety-induced elevated breathing rhythms. They reveal PBL core-Oprm1 neurons projecting onto the CeA and shell-Oprm1 neurons projecting onto the preBötC as differential regulators of these behaviors.

Using high-speed videography for objective and reproducible pain measurement on a mouse pain scale.

Mouse models are essential for studying pain neurobiology and testing pain therapeutics. The reliance on assays that only measure the presence, absence, or frequency of a reflex have limited the reliability of preclinical pain studies. Our high-speed videography protocol overcomes this by projecting the discrete sub-second kinematic behavioral features induced by hind paw stimulation onto a "mouse pain scale.

A machine-vision approach for automated pain measurement at millisecond timescales.

Objective and automatic measurement of pain in mice remains a barrier for discovery in neuroscience. Here, we capture paw kinematics during pain behavior in mice with high-speed videography and automated paw tracking with machine and deep learning approaches. Our statistical software platform, PAWS (Pain Assessment at Withdrawal Speeds), uses a univariate projection of paw position over time to automatically quantify seven behavioral features that are combined into a single, univariate pain score.

Development of a Mouse Pain Scale Using Sub-second Behavioral Mapping and Statistical Modeling.

Rodents are the main model systems for pain research, but determining their pain state is challenging. To develop an objective method to assess pain sensation in mice, we adopt high-speed videography to capture sub-second behavioral features following hind paw stimulation with both noxious and innocuous stimuli and identify several differentiating parameters indicating the affective and reflexive aspects of nociception. Using statistical modeling and machine learning, we integrate these parameters into a single index and create a "mouse pain scale," which allows us to assess pain sensation in a graded manner for each withdrawal.

Sparse genetic tracing reveals regionally specific functional organization of mammalian nociceptors.

The human distal limbs have a high spatial acuity for noxious stimuli but a low density of pain-sensing neurites. To elucidate mechanisms underlying regional differences in processing nociception, we sparsely traced non-peptidergic nociceptors across the body using a newly generated mouse line. We found that mouse plantar paw skin is also innervated by a low density of Mrgprd nociceptors, while individual arbors in different locations are comparable in size.