Cerebral Glucose Metabolism and Blood Flow in Parkinson’s Disease

Yilong Ma, Shichun Peng, Vijay Dhawan and David Eidelberg

in Imaging in Parkinson’s Disease

Published in print September 2011 | ISBN: 9780195393484
Published online September 2011 | e-ISBN: 9780199914494 | DOI:
Cerebral Glucose Metabolism and Blood Flow in Parkinson’s Disease

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Functional brain imaging has been widely used to describe regional abnormalities in cerebral blood flow and metabolism in Parkinson’s disease (PD) patients scanned in the rest state with PET, SPECT, or perfusion MRI techniques. This general brain mapping approach has also been used to identify PD-related functional changes occurring at the network level. This chapter summarizes recent advances in the use of disease-related spatial covariance patterns (metabolic brain networks) to study disease progression and to identify robust imaging biomarkers with which to assess therapeutic outcome in PD patients. Specific attention is given to clinical applications of network-based techniques in the study of dopaminergic pharmacotherapy and stereotaxic surgical interventions for the disorder.

Keywords: functional neuroimaging; cerebral metabolism; cerebral blood flow; Parkinson’s disease; metabolic brain networks; imaging biomarkers; PET; SPECT; perfusion MRI

Chapter.  7710 words.  Illustrated.

Subjects: Neuroscience

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