COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > "Life Sciences Masterclass" > Using Brain Imaging to Evaluate Nutritional Intervention Strategies in Resource Poor Settings
Using Brain Imaging to Evaluate Nutritional Intervention Strategies in Resource Poor SettingsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Mark Dunning. Cognitive development in infancy & early childhood has been associated with a range of socioeconomic indicators in later life. Achieving optimal brain development during the early phases of development is thus critical for human capital. Neurobehavioral assessments are commonly performed in young infants to provide insight into the structure and function of the developing brain. However, many of these behavioural tests can only be used once infants reach the point of observable behaviour. Objective, non-invasive tools for imaging the brains of young infants are thus needed, but the currently employed techniques have limitations for studies of young infants in resource poor settings. The speakers have successfully piloted functional near infrared spectroscopy (fNIRS) as a neuroimaging tool in rural Gambia. The innovative use of fNIRS to provide early biomarkers of cognitive development to inform & evaluate nutritional intervention strategies will be explored. This talk is part of the "Life Sciences Masterclass" series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsInstitute of Metabolic Science Seminars Statistics Reading Group Edwina Currie: Lies, damned lies and politicians Type the title of a new list here CELS lunchtime seminars Cambridge AssessmentOther talksAccess to Medicines Comparative perspectives on social inequalities in life and death: an interdisciplinary conference Debtors’ schedules: a new source for understanding the economy in 18th-century England Cosmology and Astrophysics from CMB Measurements Undersampling in physical imaging inverse problems Nonstationary Gaussian process emulators with covariance mixtures |