Cambridge Neuro

Gaining insight into the overlapping neural circuits that regulate positive and negative emotion is an important step towards understanding the heterogeneity in the aetiology of anxiety and depression and developing new treatment targets. Determining the core contributions of the functionally heterogenous prefrontal cortex to these circuits is especially illuminating given its marked dysregulation in affective disorders. This presentation will review a series of studies in a new world monkey, the common marmoset, employing pathway-specific chemogenetics, neuroimaging, neuropharmacology and behavioural and cardiovascular analysis to dissect out prefrontal involvement in the regulation of both positive and negative emotion. Highlights will include the profound shift of sensitivity away from reward and towards threat induced by localised activations within distinct regions of vmPFC, namely areas 25 and 14 as well as the opposing contributions of this region, compared to orbitofrontal and dorsolateral prefrontal cortex, in the overall responsivity to threat. Ongoing follow-up studies are identifying the distinct downstream pathways that mediate some of these effects as well as their differential sensitivity to rapidly acting anti-depressants.

Circadian clocks dominate our lives. By creating and distributing an internal representation of 24-hour solar time, they prepare us, and thereby adapt us, to the daily and seasonal world. Jet-lag is an obvious indicator of what can go wrong when such adaptation is disrupted acutely. More seriously, the growing prevalence of rotational shift-work which runs counter to our circadian life, is a significant chronic challenge to health, presenting as increased incidence of systemic conditions such as metabolic and cardiovascular disease. Added to this, circadian and sleep disturbances are a recognised feature of various neurological and psychiatric conditions, and in some cases may contribute to disease progression. The “head ganglion” of the circadian system is the suprachiasmatic nucleus (SCN) of the hypothalamus. It synchronises the, literally, innumerable cellular clocks across the body, to each other and to solar time. Isolated in organotypic slice culture, it can maintain precise, high-amplitude circadian cycles of neural activity, effectively, indefinitely, just as it does in vivo. How is this achieved: how does this clock in a dish work? This presentation will consider SCN time-keeping at the level of molecular feedback loops, neuropeptidergic networks and neuron-astrocyte interactions.

Learning and using multiple languages places considerable demands on our cognitive system, and has been shown to modulate the mechanisms of selective attention in both children and adults. Yet the nature of these adaptive changes is still not entirely clear. One possibility is that bilingualism boosts the capacity for selective attention; another is that it leads to a different distribution of this finite resource, aimed at supporting optimal performance under the increased processing demands. I will present a series of studies investigating the nature of modifications of selective attention in bilingualism. Using behavioural and neuroimaging techniques, our data confirm that bilingualism modifies the neural mechanisms of selective attention even in the absence of behavioural differences between monolinguals and bilinguals. They further suggest that, instead of enhanced attentional capacity, these neuroadaptive modifications appear to reflect its redistribution, arguably aimed at economising the available resources to support optimal behavioural performance.

Evidence-based education programmes, like many clinical interventions, are multi-faceted and can be expensive to implement. In this talk I will describe an alternative: distilling the common elements across many evidence-based programmes. Published programme manuals are selected through systematic review, then extensively coded and cross-referenced. Finally, the common elements that emerge are shared with practitioners as part of a ‘library’ of practices (rather than a holistic programme manual). Although the common elements methodology has been used in the prevention and intervention sciences, this project reflects the first attempt at applying this approach to early childhood education. I will describe the common elements methods and preliminary findings from our Nuffield-funded project, in collaboration with the Early Intervention Foundation. I will discuss the challenges and opportunities we have encountered, alongside our strategies for sharing evidence with practitioners in a digestible way.

Dysregulation of protein synthesis both globally and locally in neurons and astrocytes is a key feature of neurodegenerative diseases. Aberrant signalling through the Unfolded Protein Response (UPR) and related Integrated Stress Response (ISR) have become major targets for neuroprotection in these disorders. In addition, other homeostatic mechanisms and stress responses, including the cold shock response, appear to regulate local translation and RNA splicing to control synapse maintenance and regeneration and can also be targeted therapeutically for neuroprotection. We have defined the role of UPR/ISR and the cold-shock response in neurodegenerative disorders and have developed translational strategies targeting them for new treatments for dementia.

TBC

Macroscopic brain organisation emerges early in life, even prenatally, and continues to develop through adolescence and into early adulthood. The emergence and continual refinement of large-scale brain networks, connecting neuronal populations across anatomical distance, allows for increasing functional integration and specialisation. This process is thought crucial for the emergence of complex cognitive processes. But how and why is this process so diverse? We used structural neuroimaging collected from a large diverse cohort, to explore how different features of macroscopic brain organisation are associated with diverse cognitive trajectories. We used diffusion-weighted imaging (DWI) to construct whole-brain white-matter connectomes. A simulated attack on each child's connectome revealed that some brain networks were strongly organized around highly connected 'hubs'. The more children's brains were critically dependent on hubs, the better their cognitive skills. Conversely, having poorly integrated hubs was a very strong risk factor for cognitive and learning difficulties across the sample. We subsequently developed a computational framework, using generative network modelling (GNM), to model the emergence of this kind of connectome organisation. Relatively subtle changes within the wiring rules of this computational framework give rise to differential developmental trajectories, because of small biases in the preferential wiring properties of different nodes within the network. Finally, we were able to use this GNM to implicate the molecular and cellular processes that govern these different growth patterns.

It is clear that the cause of obesity is a result of eating more than you burn. It is physics. What is more complex to answer is why some people eat more than others? Differences in our genetic make-up mean some of us are slightly more hungry all the time and so eat more than others. We now know that the genetics of body-weight, on which obesity sits on one end of the spectrum, is in actuality the genetics of appetite control. In contrast to the prevailing view, body-weight is not a choice. People who are obese are not bad or lazy; rather, they are fighting their biology.

The human gut microbiome has emerged as a key player in the bidirectional communication of the gut-brain axis, affecting various aspects of homeostasis and pathophysiology. Until recently, the majority of studies that seek to explore the mechanisms underlying the microbiome-gut-brain axis cross-talk relied almost exclusively on animal models, and particularly gnotobiotic mice. Despite the great progress made with these models, various limitations, including ethical considerations and interspecies differences that limit the translatability of data to human systems, pushed researchers to seek for alternatives. Over the past decades, the field of in vitro modelling of tissues has experienced tremendous growth, thanks to advances in 3D cell biology, materials, science and bioengineering, pushing further the borders of our ability to more faithfully emulate the in vivo situation. Organ-on-chip technology and bioengineered tissues have emerged as highly promising alternatives to animal models for a wide range of applications. In this talk I’ll discuss our progress towards generating a complete platform of the human microbiota-gut-brain axis with integrated monitoring and sensing capabilities. Bringing together principles of materials science, tissue engineering, 3D cell biology and bioelectronics, we are building advanced models of the GI and the BBB /NVU, with real-time and label-free monitoring units adapted in the model architecture, towards a robust and more physiologically relevant human in vitro model, aiming to i) elucidate the role of microbiota in the gut-brain axis communication, ii) to study how diet and impaired microbiota profiles affect various (patho-)physiologies, and iii) to test personalised medicine approaches for disease modelling and drug testing.

The CNS is responsive to an ever-changing environment. Until recently, studies of neural plasticity focused almost exclusively on functional and structural changes of neuronal synapses. In recent years, myelin plasticity has emerged as a potential modulator of neural networks. Myelination of previously unmyelinated axons, and changes in the structure on already-myelinated axons, can have large effects on network function. The heterogeneity of the extent of how axons in the CNS are myelinated offers diverse scope for dynamic myelin changes to fine-tune neural circuits. The traditionally held view of myelin as a passive insulator of axons is now changing to one of lifelong changes in myelin, modulated by neuronal activity and experience. Myelin, produced by oligodendrocytes (OLs), is essential for normal brain function, as it provides fast signal transmission, promotes synchronization of neuronal signals and helps to maintain neuronal function. OLs differentiate from oligodendrocyte precursor cells (OPCs), which are distributed throughout the adult brain, and myelination continues into late adulthood. OPCs can sense neuronal activity as they receive synaptic inputs from neurons and express voltage-gated ion channels and neurotransmitter receptors, and differentiate into myelinating OLs in response to changes in neuronal activity. This lecture will explore to what extent myelin plasticity occurs in adult animals, whether myelin changes occur in non-motor learning tasks, especially in learning and memory, and questions whether myelin plasticity and myelin regeneration are two sides of the same coin.

Every year around 100,000 people in the UK will have a stroke. Stroke is a leading cause of adult disability, and cerebrovascular disease more broadly is a major cause of dementia. Understanding these diseases – both acute and chronic manifestations of cerebrovascular disease – requires consideration not only of the brain itself, but also the blood vessels supplying it. Atherosclerosis – the hardening of arteries as we age – may predispose to stroke by triggering the formation of blood clots that block the blood supply to the brain, but also involves inflammation that may cause chronic damage to the brain and prime both the brain and body for injury. Understanding this interaction between systemic disease and brain health may have important implications for our understanding of healthy ageing and provide novel therapeutic approaches for reducing the burden of cerebrovascular disease. This talk will consider how advances in imaging may facilitate our understanding of the processes underlying atherosclerosis and how it affects the brain in stroke, as well as work currently underway to translate this understanding into improving treatments for stroke.

There are currently no approved therapies to slow down the accumulation of neurological disability that occurs independently of relapses in multiple sclerosis (MS). International agencies are engaging to expedite the development of novel strategies capable of modifying disease progression, abrogating persistent CNS inflammation, and support degenerating axons in people with progressive MS. Understanding why regeneration fails in the progressive MS brain and developing new regenerative approaches is a key priority for the Pluchino Lab. In particular, we aim to elucidate how the immune system, in particular its cells called myeloid cells, affects brain structure and function under normal healthy conditions and in disease. Our objective is to find how myeloid cells communicate with the central nervous system and affect tissue healing and functional recovery by stimulating mechanisms of brain plasticity mechanisms such as the generation of new nerve cells and the reduction of scar formation. Applying combination of state-of-the-art omic technologies, and molecular approaches to study murine and human disease models of inflammation and neurodegeneration, we aim to develop experimental molecular medicines, including those with stem cells and gene therapy vectors, which slow down the accumulation of irreversible disabilities and improve functional recovery after progressive multiple sclerosis, stroke and traumatic injuries. By understanding the mechanisms of intercellular (neuro-immune) signalling, diseases of the brain and spinal cord may be treated more effectively, and significant neuroprotection may be achieved with new tailored molecular therapeutics.

Despite the importance of early diagnosis of dementia for prognosis and personalised interventions, we still lack robust tools for predicting individual progression to dementia. We propose a trajectory modelling approach that mines multimodal data from patients at early dementia stages to derive individualised prognostic scores of cognitive decline Our approach has potential to facilitate effective stratification of individuals based on prognostic disease trajectories, reducing patient misclassification with important implications for clinical practice.

Pain has both a sensory and emotional component and is driven by activation of sensory neurones called nociceptors that are tuned to detect noxious stimuli in a process called nociception. Although nociception functions as a detect and protect mechanism. and is found in many organisms, this system becomes dysregulated in a number of conditions where chronic pain presents as a key symptom, for example osteoarthritis. Nociceptors do not innervate empty space though and do not act alone. Going beyond the neurone, other cell types, such as fibroblast-like synoviocytes interact with and modify the function of nociceptors, which is likely a key contributor to the chronification of pain. In this talk, I will look at how combining pre-clinical mouse work with human tissue and genetics might provide a way to accelerate new analgesics from bench to bedside, giving examples from our work in joint pain, bowel pain and labour pain.

ONS figures suggest that at least 10% of individuals suffering COVID -19 Infection continue to experience several weeks after testing positive, and other studies report the proportions as even higher (e.g. Logue et al., 2021). One of the most prevalent reported symptoms among these “Long Covid” sufferers is cognitive dysfunction (Davis et al., 2020). However, to date the cognitive sequelae of COVID -19 are little understood. There are a number of reasons why COVID -19 infection might be associated with cognitive impairment and mental illness (e.g. Bougakov et al., 2020). In particular, increasing evidence indicates inflammation (e.g. Huang et al., 2020) and dysfunctional clotting (e.g. Taquet et al., 2021) as issues of major concern, both of which have been previously linked to a range of cognitive deficits (e.g. Vintimilla et al., 2019; Cumming et al., 2013). Indeed, evidence is beginning to emerge that cognitive issues may be widespread in the post-infection period, particularly among hospitalised and ventilated patients (e.g. Hampshire et al., 2020; Alemanno et al,. 2020). Here I shall present “Hot off the [SPSS]Press” results from a study on memory and cognition following COVID infection in a non-hospitalized cohort.

Mental Health problems among youth constitutes an area of significant social, educational, clinical, policy and public health concern. Understanding processes and mechanisms that underlie the development of mental health problems during childhood and adolescence requires theoretical and methodological integration across multiple scientific domains, including developmental science, neuroscience, genetics, education and prevention science. The primary focus of this presentation is to examine the relative role of genetic and family environmental influences on children’s emotional and behavioural development. Specifically, a complementary array of genetically sensitive and longitudinal research designs will be employed to examine the role of early environmental adversity (e.g. inter-parental conflict, negative parenting practices) relative to inherited factors in accounting for individual differences in children’s symptoms of psychopathology (e.g. depression, aggression, ADHD ). Examples of recent applications of this research to the development of evidence-based intervention programmes aimed at reducing psychopathology in the context of high-risk family settings will also be presented.

Pain is a major clinical problem affecting 1 in 5 people in the world. There are unresolved questions that urgently require answers to treat pain effectively, a crucial one being how the feeling of pain arises from brain activity. Computational models of pain consider how the brain processes noxious information and allow mapping neural circuits and networks to cognition and behaviour. To date, they have generally have assumed two largely independent processes: perceptual and/or predictive inference, typically modelled as an approximate Bayesian process, and action control, typically modelled as a reinforcement learning process. However, inference and control are intertwined in complex ways, challenging the clarity of this distinction. I will discuss how they may comprise a parallel hierarchical architecture that combines pain inference, information-seeking, and adaptive value-based control. Finally, I will discuss whether and how these learning processes might contribute to chronic pain.

Designing artificially intelligent systems and interfaces with socio-emotional skills is a challenging task. Progress in industry and developments in academia provide us a positive outlook, however, the artificial social and emotional intelligence of the current technology is still limited. My lab’s research has been pushing the state of the art in a wide spectrum of research topics in this area, including the design and creation of new datasets; novel feature representations and learning algorithms for sensing and understanding human nonverbal behaviours in solo, dyadic and group settings; designing longitudinal human-robot interaction studies for wellbeing; and investigating how to mitigate the bias that creeps into these systems. In this talk, I will present some of my research team’s explorations in these areas including social appropriateness of robot actions, virtual reality based cognitive training with affective adaptation, and bias and fairness in data-driven emotionally intelligent systems.

The serotonin system is the most frequently targeted neural system pharmacologically for treating psychiatric disorders, including depression and anxiety. Serotonin neurons of the dorsal and median raphe nuclei (DR, MR) collectively innervate the entire forebrain and midbrain, modulating diverse physiology and behaviour. By using viral-genetic methods, we found that DR serotonin system contains parallel sub-systems that differ in input and output connectivity, physiological response properties, and behavioural functions. To gain a fundamental understanding of the molecular heterogeneity of DR and MR, we used single-cell RNA - sequencing (scRNA-seq) to generate a comprehensive dataset comprising eleven transcriptomically distinct serotonin neuron clusters. We generated novel intersectional viral-genetic tools to access specific subpopulations. Whole-brain axonal projection mapping revealed that the molecular features of these distinct serotonin groups reflect their anatomical organization and provide tools for future exploration of the full projection map of molecularly defined serotonin groups. The molecular architecture of serotonin system lays the foundation for integrating anatomical, neurochemical, physiological, and behavioural functions.