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Using pharmacological agents to investigate the mechanisms of the neuronal vascular coupling

  • Full or part time
  • Application Deadline
    Wednesday, February 01, 2017
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

The changes in cerebral blood flow, volume and oxygenation that accompany increases in neural activity form the basis of non-invasive neuroimaging techniques such as blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) which allow human brain mapping. Understanding the relationship between cerebral hemodynamics and the underlying evoked neural activity is therefore vital for the interpretation of neuroimaging data. With a unique combination of optical, electrophysiological and MR techniques in a rodent model we have previously explored the quantitative relationships between increases in activity and the accompanying hemodynamics and positive fMRI signals. In this project we will investigate the chemical mediators and mechanisms of neurovascular coupling by using specific pharmacological blockers thought to play a role in the coupling process.
Research Groups Involved: Dr Jason Berwick, Dr Myles Jones, Dr Aneurin Kennerley, Dr Ying Zheng. Dr CHUANG Kai-Hsiang – Singapore Bioimaging consortium

Funding Notes

This is one of many projects in competition for the current funding opportunities available within the Department of Psychology. Please see here for full details: View Website
Overseas students are welcome to apply for funding but must be able to demonstrate that they can fund the difference in the tuition fees.
Requirements: We ask for a minimum of a first class or high upper second-class undergraduate honours degree and a distinction or high merit at Masters level in psychology or a related discipline.

Related Subjects

How good is research at University of Sheffield in Psychology, Psychiatry and Neuroscience?

FTE Category A staff submitted: 34.45

Research output data provided by the Research Excellence Framework (REF)

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