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George Petrides

Researcher at Royal Victoria Infirmary

Publications -  29
Citations -  539

George Petrides is an academic researcher from Royal Victoria Infirmary. The author has contributed to research in topics: Dementia with Lewy bodies & Dementia. The author has an hindex of 10, co-authored 29 publications receiving 333 citations. Previous affiliations of George Petrides include National Health Service & Newcastle upon Tyne Hospitals NHS Foundation Trust.

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Cerebral glucose metabolism and cognition in newly diagnosed Parkinson's disease: ICICLE-PD study

TL;DR: Reductions in cortical FDG metabolism were present in newly diagnosed PD, and correlated with performance on neuropsychological tests, suggesting a reduced baseline parietal metabolism is associated with risk of cognitive decline and may represent a potential biomarker for this state and the development of PD dementia.
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Neuropsychiatric symptoms and cognitive profile in mild cognitive impairment with Lewy bodies.

TL;DR: MCI-LB is associated with neuropsychiatric symptoms and a cognitive profile similar to established DLB and abnormal FP-CIT SPECT imaging, which supports the concept of identifying MCI- LB based on the presence of core diagnostic features of DLB.
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Diagnostic accuracy of dopaminergic imaging in prodromal dementia with Lewy bodies.

TL;DR: Dopaminergic imaging had high specificity at the pre-dementia stage and gave a clinically important increase in diagnostic confidence and so should be considered in all patients with MCI who have any of the diagnostic symptoms of DLB.
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Clinical and imaging correlates of amyloid deposition in dementia with Lewy bodies.

TL;DR: This data indicates that amyloid deposition is common in dementia with Lewy bodies and its pathophysiological significance is unclear, but the importance of this finding is still unclear.
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Intra- and interobserver variability in skeletal muscle measurements using computed tomography images

TL;DR: The approach described provides reproducible skeletal muscle area measurements, and three specific recommendations to minimise variability are offered.