Members

Pain and Autonomic regulation. Basic neurobiology to experimental medicine and clinical trials.

Developing non-invasive brain-computer interfaces with optical modalities, creating real time decoding and signal processing BCI software, building AI models to decode human intention and speech

I am a Rheumatologist with a clinical and research interest in musculoskeletal pain mechanisms. I use a combination of techniques, including neuroimaging and clinical pain quantification, to investigate pain related predictors of response to treatment in different forms of arthritis and fibromyalgia. My group is currently investigating the effectiveness of digital cognitive behavioural therapy for insomnia in patients with fibromyalgia. This study is using online platforms to conduct questionnaire-based surveys and collect quantitative movement and cognitive learning data.

My work focusses on the development and use of virtual reality interventions for the management of chronic pain. This includes research into brain-computer interfaces, personalised approaches using sensor-based technologies (eye tracking, EEG, ECG etc), and machine learning.

My research focuses on understanding the brain mechanisms that underpin human sensorimotor function. My research utilises a range of approaches, including state-of-the-art MR imaging and spectroscopy, magnetoencephalography, and non-invasive brain stimulation to investigate the pathophysiology of common mental/brain health conditions. A key focus is developing the next generation of novel therapeutic approaches for mental/brain health conditions based on wearable technology and non-invasive brain stimulation. To this end I am a founding Non-Executive Director, and Chief Scientific Officer, of Neurotherapeutics Ltd.

How does the brain represent, process, and regulate pain and affective experiences? The goal of our lab research is to answer this question to better understand pain and emotions, thereby promoting the physical and psychological well-being of people who suffer from pain and emotional distress. Specific aims include 1) understanding the brain mechanisms of pain and emotion dynamics (mechanisms), 2) developing integrated brain models of human affective experiences and clinical outcomes (biomarkers), 3) translating basic and computational neuroscience findings into clinical applications (translation), and 4) building a life- and neuroscience-inspired artificial intelligence (AI) to better understand pain, affect, and human intelligence.

Flavia Mancini is an MRC Career Development Award fellow and head of a multidisciplinary research group, called the Nox Lab, at the Department of Engineering, University of Cambridge. The Nox Lab includes a mix of computational neuroscientists, information and biomedical engineers, united by a shared passion for the development of open-source computational methods to understand brain function and improve human health. Their work is motivated by neuroscience questions relating to how neural activity generates perception and behaviour, mostly in humans. They use a combination of neuroimaging, physiological, behavioural and computational methods for the processing of neural signals and behavioural/clinical data.

The Nox Lab’s current work has a primary application to chronic pain. They take an innovative information engineering approach to understanding the neural processing and regulation of pain. Nox Lab’s research is split into a basic research line, aiming to understand the computational and neural mechanisms of pain inference, learning and control, and a translational research line in which they translate this knowledge into digital and neurotechnology tools for precision medicine, pain prevention and treatment.

My research focuses on the neurobiology of decision-making and learning. I use multimodal neuroimaging and neurostimulation methods to uncover the roles of multiple areas in the brain, predominantly the prefrontal cortex. Recently, I have shown that transcranial ultrasound neuromodulation can safely change neural activity in precise parts of the brain, both in non-human primates and humans. I am now working towards bringing this technology forward and apply it to mental health challenges.