Opioids are powerful analgesics commonly used in pain management. However, opioids can induce complex neuroadaptations, including synaptic plasticity, that ultimately drive severe side effects, such as pain hypersensitivity and strong aversion during prolonged administration or upon drug withdrawal, even following a single, brief administration. The lateral parabrachial nucleus (LPBN) in the brainstem plays a key role in pain and emotional processing; yet, the effects of opioids on synaptic plasticity in this area remain unexplored. Using patch-clamp recordings in acute brainstem slices from male and female Sprague Dawley rats, we demonstrate a concentration-dependent, bi -modal effect of opioids on excitatory synaptic transmission in the LPBN. While a lower concentration of DAMGO (0.5 & mu;M) induced a long-term depression of synaptic strength (low-DAMGO LTD), abrupt termination of a higher concentration (10 & mu;M) induced a long-term potentiation (high-DAMGO LTP) in a subpopulation of cells. LTD involved a metabotropic glutamate receptor (mGluR)-dependent me-chanism; in contrast, LTP required astrocytes and N-methyl-D-aspartate receptor (NMDAR) activation. Selective optogenetic activation of spinal and periaqueductal gray matter (PAG) inputs to the LPBN revealed that, while LTD was expressed at all parabrachial synapses tested, LTP was restricted to spino-parabrachial synapses. Thus, we uncovered previously unknown forms of opioid-induced long-term plasticity in the parabrachial nucleus that potentially modulate some adverse effects of opioids. Perspective: We found a previously unrecognized site of opioid-induced plasticity in the lateral parabrachial nucleus, a key region for pain and emotional processing. Unraveling opioid-induced adaptations in parabrachial function might facilitate the identification of new therapeutic measures for addressing adverse effects of opioid discontinuation such as hyperalgesia and aversion.& COPY; 2023 The Author(s). Published by Elsevier Inc. on behalf of the American Pain Society This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

The clinical burden faced by chronic pain patients is compounded by affective comorbidities, such as depression and anxiety disorders. Emerging evidence suggests that reactive glial cells in the spinal cord dorsal horn play a key role in the chronification of pain, while supraspinal glia are important for psychological aspects of chronic pain. The lateral parabrachial nucleus (LPBN) in the brainstem is a key node in the ascending pain system, and is crucial for the emotional dimension of pain. Yet, whether astrocytes and microglia in the LPBN are activated during chronic pain is unknown. Here, we evaluated the occurrence of glial activation in the LPBN of male Sprague–Dawley rats 1, 4, and 7 weeks after inducing a chronic constriction injury (CCI) of the sciatic nerve, a prevalent neuropathic pain model. CCI animals developed mechanical and thermal hypersensitivity that persisted for at least 4 weeks, and was mostly reversed after 7 weeks. Using immunohistochemical staining and confocal imaging, we found that CCI caused a strong increase in the expression of the astrocytic marker GFAP and the microglial marker Iba1 in the ipsilateral spinal dorsal horn, with peak expression observed 1 week post-injury. Moreover, morphology analysis revealed changes in microglial phenotype, indicative of microglia activation. In contrast, CCI did not induce any detectable changes in either astrocytes or microglia in the LPBN, at any time point. Thus, our results indicate that while neuropathic pain induces a robust glial reaction in the spinal dorsal horn, it fails to activate glial cells in the LPBN.

The aversive aspect of pain constitutes a major burden faced by pain patients. This has been recognized by the pain research community, leading to the development of novel methods focusing on affective-motivational behaviour in pain model animals. The most common tests used to assess pain aversion in animals require cognitive processes, such as associative learning, complicating the interpretation of results. To overcome this issue, studies in recent years have utilized unconditioned escape as a measure of aversion. However, the vast majority of these studies quantify jumping - a common escape behaviour in mice, but not in adult rats, thus limiting its use. Here, we present the "Heat Escape Threshold" (HET) paradigm for assessing heat aversion in rats. We demonstrate that this method can robustly and reproducibly detect the localized effects of an inflammatory pain model (intraplantar carrageenan) in male and female Sprague-Dawley rats. In males, a temperature that evoked unconditioned escape following carrageenan treatment also induced real-time place avoidance (RTPA). Systemic morphine more potently alleviated carrageenan-induced heat aversion (as measured by the HET and RTPA methods), as compared to reflexive responses to heat (as measured by the Hargreaves test), supporting previous findings. Next, we examined how blocking of excitatory transmission to the lateral parabrachial nucleus (LPBN), a key node in the ascending pain system, affects pain behaviour. Using the HET and Hargreaves tests, we show that intra-LPBN application of glutamate antagonists reverses the effects of carrageenan on both affective and reflexive pain behaviour, respectively. Finally, we employed the HET paradigm in a generalized opioid-withdrawal pain model. Withdrawal from a brief systemic administration of remifentanil resulted in a long-lasting and robust increase in heat aversion, but no change in reflexive responses to heat. Taken together, these data demonstrate the utility of the HET paradigm as a novel tool in preclinical pain research.

The lateral parabrachial nucleus (LPBN) plays an important role in the processing and establishment of pain aversion. It receives direct input from the superficial dorsal horn and forms reciprocal connections with the periaqueductal grey matter (PAG), which is critical for adaptive behaviour and the modulation of pain processing. Here, using in situ hybridization and optogenetics combined with in vitro electrophysiology, we characterized the spinal- and PAG-LPBN circuits of rats. We found spinoparabrachial projections to be strictly glutamatergic, while PAG neurons send glutamatergic and GABAergic projections to the LPBN. We next investigated the effects of drugs with anti-aversive and/or anti-nociceptive properties on these synapses: The µ-opioid receptor agonist DAMGO (10 µM) reduced spinal and PAG synaptic inputs onto LPBN neurons, and the excitability of LPBN neurons receiving these inputs. The benzodiazepine receptor agonist diazepam (5 µM) strongly enhanced GABAergic action at inhibitory PAG-LPBN synapses. The cannabinoid receptor agonist WIN 55,212-2 (5 µM) led to a reduction in inhibitory and excitatory PAG-LPBN synaptic transmission, without affecting excitatory spinoparabrachial synaptic transmission. Our study reveals that opioid, cannabinoid and benzodiazepine receptor agonists differentially affect distinct LPBN synapses. These findings may support the efforts to develop pinpointed therapies for pain patients. PERSPECTIVE: The LPBN is an important brain region for the control of pain aversion versus recuperation, and as such constitutes a promising target for developing new strategies for pain management. We show that clinically-relevant drugs have complex and pathway-specific effects on LPBN processing of putative nociceptive and aversive inputs.

Pain and emotion are strongly regulated by neurons in the central nucleus of the amygdala (CeA), a major output of the limbic system; yet, the neuronal signaling pathways underlying this modulation are incompletely understood. Here, we characterized a subpopulation of CeA neurons that express the CaMKIIα gene (CeACAM neurons) and project to the lateral parabrachial nucleus (LPBN), a brainstem region known for its critical role in distributing nociceptive and other aversive signals throughout the brain. In male Sprague Dawley rats, we show that CeACAM-LPBN neurons are GABAergic and mostly express somatostatin. In anaesthetized rats, optogenetic stimulation of CeACAM-LPBN projections inhibited responses of LPBN neurons evoked by electrical activation of Aδ- and C-fiber primary afferents; this inhibition could be blocked by intra-LPBN application of the GABAA receptor antagonist bicuculline. CeACAM-LPBN stimulation also dampened LPBN responses to noxious mechanical, thermal, and chemical stimuli. In behaving rats, optogenetic stimulation of CeACAM-LPBN projections attenuated nocifensive responses to mechanical pressure and radiant heat, disrupted the ability of a noxious shock to drive aversive learning, reduced the defensive behaviors of thigmotaxis and freezing, induced place preference, and promoted food consumption in sated rats. Thus, we suggest that CeACAM-LPBN projections mediate a form of analgesia that is accompanied by a shift toward the positive-appetitive pole of the emotional-motivational continuum. Since the affective state of pain patients strongly influences their prognosis, we envision that recruitment of this pathway in a clinical setting could potentially promote pain resilience and recovery. SIGNIFICANCE STATEMENT Pain and emotion interact on multiple levels of the nervous system. Both positive and negative emotion may have analgesic effects. However, while the neuronal mechanisms underlying “stress-induced analgesia” have been the focus of many studies, the neuronal substrates underlying analgesia accompanied by appetitive emotional-motivational states have received far less attention. The current study focuses on a subpopulation of amygdala neurons that form inhibitory synapses within the brainstem lateral parabrachial nucleus (LPBN). We show that activation of these amygdalo-parabrachial projections inhibits pain processing, while also reducing behaviors related to negative affect and enhancing behaviors related to positive affect. We propose that recruitment of this pathway would benefit pain patients, many of whom suffer from psychological comorbidities such as anxiety and depression.

In a series of studies, we demonstrated a brain-computer interface (BCI) system in which a disabled cerebellar network in rat’s brain was replaced by a biomimetic synthetic model that reliably recovered the motor learning function of the cerebellar network [34, 21]. While we proved feasibility by managing some neuroscientific and methodological challenges, this project was critically suggestive of the grave challenges expected on the way to reach a level of a clinically relevant neuroprosthesis.

Neuroprostheses could potentially recover functions lost due to neural damage. Typical neuroprostheses connect an intact brain with the external environment, thus replacing damaged sensory or motor pathways. Recently, closed-loop neuroprostheses, bidirectionally interfaced with the brain, have begun to emerge, offering an opportunity to substitute malfunctioning brain structures. In this proof-of-concept study, we demonstrate a neuro-inspired model-based approach to neuroprostheses. A VLSI chip was designed to implement essential cerebellar synaptic plasticity rules, and was interfaced with cerebellar input and output nuclei in real time, thus reproducing cerebellum-dependent learning in anesthetized rats. Such a model-based approach does not require prior system identification, allowing for de novo experience-based learning in the brain-chip hybrid, with potential clinical advantages and limitations when compared to existing parametric "black box" models.

The cerebellum is necessary and sufficient for the acquisition and execution of adaptively timed conditioned motor responses following repeated paired presentations of a conditioned stimulus and an unconditioned stimulus. The underlying plasticity depends on the convergence of conditioned and unconditioned stimuli signals relayed to the cerebellum by the pontine nucleus and the inferior olive (IO), respectively. Adaptive timing of conditioned responses relies on the correctly predicted onset of the unconditioned stimulus, usually a noxious somatosensory stimulus. We addressed two questions: First, does the IO relay information regarding the duration of somatosensory stimuli to the cerebellum? Multiple-unit recordings from the IO of anesthetized rats that received periorbital airpuffs of various durations revealed that sustained somatosensory stimuli are invariably transformed into phasic IO outputs. The phasic response was followed by a post-peak depression in IO activity as compared to baseline, providing the cerebellum with a highly synchronous signal, time-locked to the stimulus’ onset. Second, we sought to examine the involvement of olivocerebellar interactions in this signal transformation. Cerebello-olivary inhibition was interrupted using temporary pharmacological inactivation of cerebellar output nuclei, resulting in more sustained (i.e., less synchronous) IO responses to sustained somatosensory stimuli, in which the post-peak depression was substituted with elevated activity as compared to baseline. We discuss the possible roles of olivocerebellar negative-feedback loops and baseline cerebello-olivary inhibition levels in shaping the temporal dynamics of the IO’s response to somatosensory stimuli and the consequences of this shaping for cerebellar plasticity and its ability to adapt to varying contexts.

Emulating the input-output functions performed by a brain structure opens the possibility for developing neuro-prosthetic systems that replace damaged neuronal circuits. Here, we demonstrate the feasibility of this approach by replacing the cerebellar circuit responsible for the acquisition and extinction of motor memories. Specifically, we show that a rat can undergo acquisition, retention and extinction of the eye-blink reflex even though the biological circuit responsible for this task has been chemically inactivated via anesthesia. This is achieved by first developing a computational model of the cerebellar microcircuit involved in the acquisition of conditioned reflexes and training it with synthetic data generated based on physiological recordings. Secondly, the cerebellar model is interfaced with the brain of an anesthetized rat, connecting the model's inputs and outputs to afferent and efferent cerebellar structures. As a result, we show that the anesthetized rat, equipped with our neuro-prosthetic system, can be classically conditioned to the acquisition of an eye-blink response. However, non-stationarities in the recorded biological signals limit the performance of the cerebellar model. Thus, we introduce an updated cerebellar model and validate it with physiological recordings showing that learning becomes stable and reliable. The resulting system represents an important step towards replacing lost functions of the central nervous system via neuro-prosthetics, obtained by integrating a synthetic circuit with the afferent and efferent pathways of a damaged brain region. These results also embody an early example of science-based medicine, where on the one hand the neuro-prosthetic system directly validates a theory of cerebellar learning that informed the design of the system, and on the other one it takes a step towards the development of neuro-prostheses that could recover lost learning functions in animals and, in the longer term, humans.

Chronic electrodes are widely used for brain degenerative and psychiatric diseases such as Parkinson's disease,major depression, and obsessive-compulsive disorder, and for neuronal prosthesis. Brain immune reaction to electrodes in the form of glial scar encapsulates the electrode and reduces the efficacy of deep brain stimulation and neuronal prosthesis.State-of-the-art strategies for improving brain–electrode interface use passive protein coating to "camouflage" the electrode from the immune system. In this study, we actively reduced the brain immune reaction to the chronic electrodes using immune suppressing protein, that is, interleukin (IL)-1 receptor antagonist. IL-1 receptor antagonist-coated electrodes and non coated electrodes were chronically implanted in rats. An additional group of rats was chronically implanted with IL-1 receptor antagonist- and laminin-coated electrodes (as passive protein). Examination of glial scaring 1 and 4 weeks after implantation indicated a significant reduction in the amount of glial scar in the vicinity of the IL-1 receptor antagonist-coated electrode in comparison to both non coated electrode and laminin-coated electrodes. The results strongly suggest that active immune suppressing protein reduces the level of immune reaction to chronic electrodes already after 1 week after implantation and generates less immune reaction than passive protein coating [corrected].

A very-large-scale integration field-programmable mixed-signal array specialized for neural signal processing and neural modeling has been designed. This has been fabricated as a core on a chip prototype intended for use in an implantable closed-loop prosthetic system aimed at rehabilitation of the learning of a discrete motor response. The chosen experimental context is cerebellar classical conditioning of the eye-blink response. The programmable system is based on the intimate mixing of switched capacitor analog techniques with low speed digital computation; power saving innovations within this framework are presented. The utility of the system is demonstrated by the implementation of a motor classical conditioning model applied to eye-blink conditioning in real time with associated neural signal processing. Paired conditioned and unconditioned stimuli were repeatedly presented to an anesthetized rat and recordings were taken simultaneously from two precerebellar nuclei. These paired stimuli were detected in real time from this multichannel data. This resulted in the acquisition of a trigger for a well-timed conditioned eye-blink response, and repetition of unpaired trials constructed from the same data led to the extinction of the conditioned response trigger, compatible with natural cerebellar learning in awake animals.

In this paper we propose a Rapid Prototyping Environment (RPE) for real-time biosignal analysis including ECG, EEG, ECoG and EMG of humans and animals requiring a very precise time resolution. Based on the previous RPE which was mainly designed for developing Brain Computer Interfaces (BCI), the present solution offers tools for data preprocessing, analysis and visualization even in the case of high sampling rates and furthermore tools for precise cognitive stimulation. One application of the system, the analysis of multi-unit activity measured from the brain of a rat is presented to prove the efficiency of the proposed environment. The experimental setup was used to design and implement a biomimetic, biohybrid model for demonstrating the recovery of a learning function lost with age. Throughout the paper we discuss the components of the setup, the software structure and the online visualization. At the end we present results of a real-time experiment in which the model of the brain learned to react to the acquired signals.

In this paper the replacement of a lost learning function of rats through a computer-based real-time recording and feedback system is shown. In an experiment two recording electrodes and one stimulation electrode were implanted in an anesthetized rat. During a classical-conditioning paradigm, which includes tone and airpuff stimulation, biosignals were recorded and the stimulation events detected. A computational model of the cerebellum acquired the association between the stimuli and gave feedback to the brain of the rat using deep brain stimulation in order to close the eyelid of the rat. The study shows that replacement of a lost brain function using a direct bidirectional interface to the brain is realizable and can inspire future research for brain rehabilitation.