Roger Staff was born in London and studied physics at UEA. He moved to Aberdeen in 1988 and completed his PhD in medical physics in 1994. He has worked for the NHS since 1991 and currently leads the clinical physics imaging team at NHS-Grampian. His other interests include Intelligence and social mobility.
(Since 1999) founding member of the Aberdeen 1921 & 1936 birth cohort study group with three critical responsibilities for (1) hypothesis generation and hypothesis testing; (2) brain imaging and image analysis; (3) Advance data modelling of complex databases; (Since 2003 with Taurx) the imaging the effects tau aggregation inhibition and the use of surrogate imaging measures in drug development; (Since 2008) the development of structural and temporal (fMRI) complexity measures for use in ageing and neurodegenerative disease; (Since 2012) The prognostic value of automated analysis of sequential retinal images in diabetic retinopathy. The use of external quality assurance programs in diabetic retinopathy.
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- Salarirad, S, Staff, RT, Fox, HC, Deary, IJ, Whalley, L & Murray, AD 2011, 'Childhood intelligence and brain white matter hyperintensities predict fluid intelligence age 78-81 years: a 1921 Aberdeen birth cohort study', Age and Ageing, vol. 40, no. 5, pp. 562-567. [Online] DOI: https://doi.org/10.1093/ageing/afr065
- Whalley, LJ, Murray, AD, Staff, RT, Starr, JM, Deary, IJ, Fox, HC, Lemmon, H, Duthie, SJ, Collins, AR & Crawford, JR 2011, 'How the 1932 and 1947 mental surveys of Aberdeen schoolchildren provide a framework to explore the childhood origins of late onset disease and disability', Maturitas, vol. 69, no. 4, pp. 365-372. [Online] DOI: https://doi.org/10.1016/j.maturitas.2011.05.010
- Sokunbi, MO, Staff, RT, Waiter, GD, Ahearn, TS, Fox, HC, Deary, IJ, Starr, JM, Whalley, LJ & Murray, AD 2011, 'Inter-individual differences in fMRI entropy measurements in old age', IEEE Transactions on Biomedical Engineering, vol. 58, no. 11, pp. 3206-3214. [Online] DOI: https://doi.org/10.1109/TBME.2011.2164793
- Reilly, TJ, Staff, RT, Ahearn, TS, Bentham, P, Wischik, CM & Murray, AD 2011, 'Regional cerebral blood flow and aberrant motor behaviour in Alzheimer's disease', Behavioural Brain Research, vol. 222, no. 2, pp. 375-379. [Online] DOI: https://doi.org/10.1016/j.bbr.2011.04.003
- Murray, AD, Staff, RT, McNeil, CJ, Salarirad, S, Ahearn, TS, Mustafa, N & Whalley, LJ 2011, 'The balance between cognitive reserve and brain imaging biomarkers of cerebrovascular and Alzheimer's diseases', Brain, vol. 134, no. 12, pp. 3687-3696. [Online] DOI: https://doi.org/10.1093/brain/awr259
- Staff, R, Ahearn, TS, Phillips, LH, Cooper, CL, Mowat, D, Wischik, CM, Whalley, LJ & Murray, AD 2011, 'The cerebral blood flow correlates of emotional facial processing in mild Alzheimer's disease', Neuroscience & Medicine, vol. 2, no. 1, pp. 6-13. [Online] DOI: https://doi.org/10.4236/nm.2011.21002
- Staff, RT, Murray, AD, Ahearn, T, Salarirad, S, Mowat, D, Starr, JM, Deary, IJ, Lemmon, H & Whalley, LJ 2010, 'Brain volume and survival from age 78 to 85: the contribution of Alzheimer-type magnetic resonance imaging findings', Journal of the American Geriatrics Society, vol. 58, no. 4, pp. 688-695. [Online] DOI: https://doi.org/10.1111/j.1532-5415.2010.02765.x
- Peare, R, Staff, RT & Heys, SD 2010, 'The use of FDG-PET in assessing axillary lymph node status in breast cancer: a systematic review and meta-analysis of the literature ', Breast Cancer Research and Treatment, vol. 123, no. 1, pp. 281-290. [Online] DOI: https://doi.org/10.1007/s10549-010-0771-9
- Roijals Miras, J, Staff, R, Waiter, GD, Murray, AD, Fox, HC, Starr, J, Deary, IJ & Whalley, L 2009, 'Approximate entropy fMRI differences associated with cognitive decline', Neuroimage, vol. 47, no. Supplement 1, pp. S102. [Online] DOI: https://doi.org/10.1016/S1053-8119(09)70883-3
- Staff, RT, Ahearn, TS, Wilson, K, Counsell, CE, Taylor, K, Caslake, R, Davidson, JE, Gemmell, HG & Murray, AD 2009, 'Shape analysis of 123I-N-ω-fluoropropyl-2-β-carbomethoxy-3β-(4-iodophenyl) nortropane single-photon emission computed tomography images in the assessment of patients with parkinsonian syndromes', Nuclear Medicine Communications, vol. 30, no. 3, pp. 194-201. [Online] DOI: https://doi.org/10.1097/MNM.0b013e328314b863