Miguel Pais-Vieira

Cognitive impairment in pain through amygdala-driven prefrontal cortical deactivation.

Cognitive deficits such as impaired decision-making can be a consequence of persistent pain. Normal functions of the intact amygdala and prefrontal cortex are required for emotion-based decision-making that relies on the ability to assess risk, attribute value, and identify advantageous strategies. We tested the hypothesis that pain-related cognitive deficits result from amygdala-driven impairment of medial prefrontal cortical (mPFC) function. To do this, we used electrophysiological single-unit recordings in vivo, patch clamp in brain slices, and various behavioral assays to show that increased neuronal activity in the amygdala in an animal model of arthritis pain was accompanied by decreased mPFC activation and impaired decision-making. Furthermore, pharmacologic inhibition (with a corticotropin-releasing factor 1 receptor antagonist) of pain-related hyperactivity in the basolateral amygdala (BLA), but not central amygdala (CeA), reversed deactivation of mPFC pyramidal cells and improved decision-making deficits. Pain-related cortical deactivation resulted from a shift of balance between inhibitory and excitatory synaptic transmission. Direct excitatory transmission to mPFC pyramidal cells did not change in the pain model, whereas polysynaptic inhibitory transmission increased. GABAergic transmission was reduced by non-NMDA receptor antagonists, suggesting that synaptic inhibition was glutamate driven. The results are consistent with a model of BLA-driven feedforward inhibition of mPFC neurons. In contrast to the differential effects of BLA versus CeA hyperactivity on cortical-cognitive functions, both amygdala nuclei modulate emotional-affective pain behavior. Thus, this study shows that the amygdala contributes not only to emotional-affective but also cognitive effects of pain. The novel amygdalo-cortical pain mechanism has important implications for our understanding of amygdala functions and amygdalo-cortical interactions.

Orbitofrontal cortex lesions disrupt risk assessment in a novel serial decision-making task for rats

Neurobiological mechanisms of decision-making have been shown to be modulated by a number of frontal brain regions. Among those areas, the orbitofrontal cortex (OFC) is thought to play an important role in the decision of behavioral actions when faced with alternative options of ambiguous outcome. Here we present a novel neurobehavioral task to study affective decision-making in the rat, based on evaluation of consecutive choices between two levers associated with rewards of different value and probability. Two groups of animals were studied; a sham control group (n=6) and an OFC-lesioned group (n=7). In the first 30 trials both groups had similar preference patterns but at the end of the 90 trials of the task both groups developed specific preferences. The control group systematically preferred the lever associated with smaller but more reliable rewards (low risk lever) while the OFC lesion group preferred the high risk lever (index of preference of 0.21+/-0.21 vs. -0.45+/-0.10; t-test, P<0.05). Analysis of choice persistence (i.e. choosing the same lever in consecutive trials) suggests that the OFC-lesioned group became less sensitive to risk, seeking large rewards irrespective of their success probability.

Sustained attention deficits in rats with chronic inflammatory pain.

Attentional deficits are a common clinical manifestation in chronic pain patients. The causes for this impairment are not clear, and explanations range from distraction caused by painful feelings to pain-induced putative alterations of brain regions related to attention processing. However, none of these explanations have been experimentally tested and few studies have addressed this issue in animal models. In this study we compared sustained attention in the 5-choice serial reaction time task (5-CSRTT) in rats before and after chronic pain. Persistent pain was induced by intra-articular injection of Complete Freunds Adjuvant and the development of monoarthritis was accessed by sensitivity to von Frey filaments. Results showed that after the induction of persistent pain, animals presented more errors in accuracy and more omissions in the task trials. When the same animals were studied with two different doses of carprofen (5 and 10mg/kg), the performance was not altered, despite the analgesic effect of the drug. The persistence of attentional impairment during transient analgesia suggests that distraction due to painful stimuli is not the main cause for attentional deficits and that permanent alteration of neurobiological mechanisms of attention should follow chronic pain.

Simultaneous Top-down Modulation of the Primary Somatosensory Cortex and Thalamic Nuclei during Active Tactile Discrimination

The rat somatosensory system contains multiple thalamocortical loops (TCLs) that altogether process, in fundamentally different ways, tactile stimuli delivered passively or actively sampled. To elucidate potential top-down mechanisms that govern TCL processing in awake, behaving animals, we simultaneously recorded neuronal ensemble activity across multiple cortical and thalamic areas while rats performed an active aperture discrimination task. Single neurons located in the primary somatosensory cortex (S1), the ventroposterior medial, and the posterior medial thalamic nuclei of the trigeminal somatosensory pathways exhibited prominent anticipatory firing modulations before the whiskers touching the aperture edges. This cortical and thalamic anticipatory firing could not be explained by whisker movements or whisker stimulation, because neither trigeminal ganglion sensory-evoked responses nor EMG activity were detected during the same period. Both thalamic and S1 anticipatory activity were predictive of the animals discrimination accuracy. Inactivation of the primary motor cortex (M1) with muscimol affected anticipatory patterns in S1 and the thalamus, and impaired the ability to predict the animals performance accuracy based on thalamocortical anticipatory activity. These findings suggest that neural processing in TCLs is launched in anticipation of whisker contact with objects, depends on top-down effects generated in part by M1 activity, and cannot be explained by the classical feedforward model of the rat trigeminal system.

Building an organic computing device with multiple interconnected brains

Recently, we proposed that Brainets, i.e. networks formed by multiple animal brains, cooperating and exchanging information in real time through direct brain-to-brain interfaces, could provide the core of a new type of computing device: an organic computer. Here, we describe the first experimental demonstration of such a Brainet, built by interconnecting four adult rat brains. Brainets worked by concurrently recording the extracellular electrical activity generated by populations of cortical neurons distributed across multiple rats chronically implanted with multi-electrode arrays. Cortical neuronal activity was recorded and analyzed in real time, and then delivered to the somatosensory cortices of other animals that participated in the Brainet using intracortical microstimulation (ICMS). Using this approach, different Brainet architectures solved a number of useful computational problems, such as discrete classification, image processing, storage and retrieval of tactile information, and even weather forecasting. Brainets consistently performed at the same or higher levels than single rats in these tasks. Based on these findings, we propose that Brainets could be used to investigate animal social behaviors as well as a test bed for exploring the properties and potential applications of organic computers.

Inflammatory pain disrupts the orbitofrontal neuronal activity and risk-assessment performance in a rodent decision-making task.

Summary Multielectrode recordings in awake behaving rats show that the prefrontal encoding of risk in a rodent gambling task is compromised by the onset of an inflammatory pain model. Abstract It has been recently described that disruption of the neural mechanisms of emotion‐based decision making occurs in both chronic pain patients and in animal models of pain; moreover, it also has been shown that chronic pain causes morphological and functional changes in the prefrontal cortex that may be crucial for this decision‐making dysfunction. However, it is not known whether pain alone is capable of altering the neuronal encoding of decision exhibited by prefrontal neurons. We have previously shown that naïve animals have risk‐averse performance in the rodent gambling task, whereas chronic pain animals reverse their choice preference and become risk prone. Using this paradigm, we chronically implanted arrays of multielectrodes and recorded from neuronal ensembles in the orbitofrontal cortex of freely moving animals performing 4 sessions of the rodent gambling task: 2 in control conditions and 2 after the onset of inflammatory pain induced by complete Freund’s adjuvant injection. Our results show that the instantaneous neuronal firing rate was correlated with the probability of choosing a specific lever in 62.5% of the neurons; however, although in the control sessions 61% of the neurons encoded the reward magnitude, after the pain onset only 16% of the neurons differentiated small from large rewards. Moreover, we found that the fraction of risk‐sensitive neurons recorded in each session predicted the overall risk bias of the animal. Our data suggest that orbitofrontal cortex encoding of risk preference is compromised in chronic pain animals.

Computing Arm Movements with a Monkey Brainet

Traditionally, brain-machine interfaces (BMIs) extract motor commands from a single brain to control the movements of artificial devices. Here, we introduce a Brainet that utilizes very-large-scale brain activity (VLSBA) from two (B2) or three (B3) nonhuman primates to engage in a common motor behaviour. A B2 generated 2D movements of an avatar arm where each monkey contributed equally to X and Y coordinates; or one monkey fully controlled the X-coordinate and the other controlled the Y-coordinate. A B3 produced arm movements in 3D space, while each monkey generated movements in 2D subspaces (X-Y, Y-Z, or X-Z). With long-term training we observed increased coordination of behavior, increased correlations in neuronal activity between different brains, and modifications to neuronal representation of the motor plan. Overall, performance of the Brainet improved owing to collective monkey behaviour. These results suggest that primate brains can be integrated into a Brainet, which self-adapts to achieve a common motor goal.

A Closed Loop Brain-machine Interface for Epilepsy Control Using Dorsal Column Electrical Stimulation

Although electrical neurostimulation has been proposed as an alternative treatment for drug-resistant cases of epilepsy, current procedures such as deep brain stimulation, vagus, and trigeminal nerve stimulation are effective only in a fraction of the patients. Here we demonstrate a closed loop brain-machine interface that delivers electrical stimulation to the dorsal column (DCS) of the spinal cord to suppress epileptic seizures. Rats were implanted with cortical recording microelectrodes and spinal cord stimulating electrodes, and then injected with pentylenetetrazole to induce seizures. Seizures were detected in real time from cortical local field potentials, after which DCS was applied. This method decreased seizure episode frequency by 44% and seizure duration by 38%. We argue that the therapeutic effect of DCS is related to modulation of cortical theta waves, and propose that this closed-loop interface has the potential to become an effective and semi-invasive treatment for refractory epilepsy and other neurological disorders.

Cortical and thalamic contributions to response dynamics across layers of the primary somatosensory cortex during tactile discrimination

Tactile information processing in the rodent primary somatosensory cortex (S1) is layer specific and involves modulations from both thalamocortical and cortico-cortical loops. However, the extent to which these loops influence the dynamics of the primary somatosensory cortex while animals execute tactile discrimination remains largely unknown. Here, we describe neural dynamics of S1 layers across the multiple epochs defining a tactile discrimination task. We observed that neuronal ensembles within different layers of the S1 cortex exhibited significantly distinct neurophysiological properties, which constantly changed across the behavioral states that defined a tactile discrimination. Neural dynamics present in supragranular and granular layers generally matched the patterns observed in the ventral posterior medial nucleus of the thalamus (VPM), whereas the neural dynamics recorded from infragranular layers generally matched the patterns from the posterior nucleus of the thalamus (POM). Selective inactivation of contralateral S1 specifically switched infragranular neural dynamics from POM-like to those resembling VPM neurons. Meanwhile, ipsilateral M1 inactivation profoundly modulated the firing suppression observed in infragranular layers. This latter effect was counterbalanced by contralateral S1 block. Tactile stimulus encoding was layer specific and selectively affected by M1 or contralateral S1 inactivation. Lastly, causal information transfer occurred between all neurons in all S1 layers but was maximal from infragranular to the granular layer. These results suggest that tactile information processing in the S1 of awake behaving rodents is layer specific and state dependent and that its dynamics depend on the asynchronous convergence of modulations originating from ipsilateral M1 and contralateral S1.

Corrigendum: Building an organic computing device with multiple interconnected brains

Recently, we proposed that Brainets, i.e. networks formed by multiple animal brains, cooperating and exchanging information in real time through direct brain-to-brain interfaces, could provide the core of a new type of computing device: an organic computer. Here, we describe the first experimental demonstration of such a Brainet, built by interconnecting four adult rat brains. Brainets worked by concurrently recording the extracellular electrical activity generated by populations of cortical neurons distributed across multiple rats chronically implanted with multi-electrode arrays. Cortical neuronal activity was recorded and analyzed in real time, and then delivered to the somatosensory cortices of other animals that participated in the Brainet using intracortical microstimulation (ICMS). Using this approach, different Brainet architectures solved a number of useful computational problems, such as discrete classification, image processing, storage and retrieval of tactile information, and even weather forecasting. Brainets consistently performed at the same or higher levels than single rats in these tasks. Based on these findings, we propose that Brainets could be used to investigate animal social behaviors as well as a test bed for exploring the properties and potential applications of organic computers.