About the Project
As with any other symptoms (e.g., memory decline), psychiatric dysfunction may be influenced by the neural resources each patient possesses. A major resource AD patients can rely on to slow down the progression of their symptomatology is cognitive reserve (CR). CR is a construct according to which having engaged in mentally-stimulating activities during one’s life would improve and optimise the way brain networks are engaged during a certain task. CR accounts for the inter-individual differences in brain wiring, with people with high CR having better optimised and more flexible brain networks compared to people with low CR. As a consequence, people with high CR can endure much more neuropathological burden before showing signs of cognitive decline, and experience then a much slower decline. Although CR has been extensively studied in association with cognitive functioning, very little is known about the role CR plays in association with psychiatric functioning.
This PhD will explore this link focusing on two major “passive” symptoms: anxiety and depression. The link between these symptoms and the brain will be investigated and this link will then be further explored as a function of measures of CR (e.g., years of educational attainment). A sample of 150 patients with a clinical diagnosis of mild cognitive impairment or dementia of the Alzheimer’s type will be analysed by the student. Each dataset will have a complete demographic and neuropsychological characterisation, multimodal MRI and a psychiatric profile.
The student will study which neural mechanisms govern behavioural control in various acute and chronic neurological conditions and, more specifically, in what way network failure is linked to anxiety and depression. The student will also familiarise themselves with the models of neurological reserve, including brain reserve and cognitive reserve and the mechanisms with which these are implemented by the brain in the presence of pathological processes.
The student will then learn how to process and model a number of different MRI images to address the experimental questions.
For information, please feel free to write at: [Email Address Removed]
Please visit also: https://www.sheffield.ac.uk/neuroscience/staff/venneri
Candidates must have a first or upper second class honors degree or significant research experience. Candidates must have a MSc degree in psychology or neuroscience. Previous experience in MRI data processing and analysis (possibly, functional MRI) is requested.
Interested candidates should in the first instance contact (Prof Annalena Venneri, firstname.lastname@example.org)
How to apply:
Please complete a University Postgraduate Research Application form available here: www.shef.ac.uk/postgraduate/research/apply
Please clearly state the prospective main supervisor in the respective box and select (Neuroscience) as the department.
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