ConnectIONS Live!
In today’s world we continue observing declines in mental health worldwide while access to health care and treatment keeps decreasing (especially in low- to middle-income countries). In this ConnectIONS Live webinar you will hear from a member of our IONS Science Team and PhD Candidate in Neuroscience, Cédric Cannard, as he talks about his project aimed to identify a novel and cost-effective method for detecting, measuring, predicting, and elevating well-being.
Well-Being, the Brain, and Wearable Technologies
Friday, January 21, 2022
11:00 AM – 12:00 PM (PST)
Please register even if you can’t attend live and you’ll receive an email with a link to the recording.
Well-being and the brain mediate each other across the lifespan, and much is still unknown about their relationship. Electroencephalography (EEG) is the measure of electrical activity of the brain at the surface of the scalp. It is widely used to study human psychology, cognition, affect, and neuropathology. However, it is costly and time-consuming, leading to most studies consisting of small and undiversified samples. Recent technological advances have led to the development of affordable, light-weight, wearable, and wireless EEG systems. They offer fast preparation time, high mobility, and facilitate the collection of EEG data over large and diversified populations. In turn, these large and diverse datasets can help researchers identify trends, mediator covariables (e.g., age), and classify mental states.
In this ConnectIONS Live presentation, Cédric will discuss his research project in which he captured multidimensional well-being on 1,615 individuals that participated in an online survey and used it to identify some predictors of well-being. Second, he validated a low-cost wearable EEG system (the MUSE) for recording reliable signal and spectral measures relevant for the study of well-being. Third, he’ll explain how he used these two tools to identify an EEG marker of well-being in a large group (N = 353).
In this presentation, we will discuss these methodologies and findings, as well as the future directions for this field. The broader applications of this line of research, in the long term, will help reduce the prevalence of poor mental health and increased disparities in access to treatment and facilitate the prediction and prevention of mental illness worldwide.
SPEAKER
Cédric Cannard completed a Bachelors in sport science and a MSc in neuroscience during which he worked brain atrophies (MRI) associated with Schizophrenia with the ISTCT laboratory in Caen, France, and then on brain oscillations (EEG) involved in color vision processing with the CerCo Laboratory in Toulouse, France. He then moved to California to become a research assistant for the Institute of Noetic Sciences (IONS), and in December 2018 received a 3-year grant to work on his PhD in neuroscience under the co-supervision of Drs. Helané Wahbeh (IONS) and Arnaud Delorme (CerCo, France), focusing on well-being, EEG methods, wearable neurotechnologies, consciousness, and psi.
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