Usage Information

Flow-metabolism dissociation in the pathogenesis of levodopa-induced dyskinesia
Vincent A. Jourdain, Chris C. Tang, Florian Holtbernd, Christian Dresel, Yoon Young Choi, Yilong Ma, Vijay Dhawan, David Eidelberg
Vincent A. Jourdain, Chris C. Tang, Florian Holtbernd, Christian Dresel, Yoon Young Choi, Yilong Ma, Vijay Dhawan, David Eidelberg
View: Text | PDF
Clinical Research and Public Health Neuroscience

Flow-metabolism dissociation in the pathogenesis of levodopa-induced dyskinesia

Abstract

Levodopa-induced dyskinesia (LID) is the most common, disruptive complication of Parkinson’s disease (PD) pharmacotherapy, yet despite decades of research, the changes in regional brain function underlying LID remain largely unknown. We previously found that the cerebral vasomotor and metabolic responses to levodopa are dissociated in PD subjects. Nonetheless, it is unclear whether levodopa-mediated dissociation is exaggerated in LID or distinguishes LID from non-LID subjects. To explore this possibility, we used dual-tracer positron emission tomography to quantify regional cerebral blood flow and metabolic activity in 28 PD subjects (14 LID, 14 non-LID), scanned before and during intravenous levodopa infusion. Levodopa-mediated dissociation was most prominent in the posterior putamen (P < 0.0001) and greater in LID than in non-LID and test-retest subjects. Strikingly, LID subjects also showed increased sensorimotor cortex (SMC) activity in the baseline, unmedicated state. Imaging data from an independent PD sample (106 subjects) linked these differences to loss of mesocortical dopamine terminals in advanced patients. In aggregate, the data suggest that LID results from an overactive vasomotor response to levodopa in the putamen on a background of disease-related increases in SMC activity. LID may thus be amenable to treatment that modulates the function of these 2 regions.

Authors

Vincent A. Jourdain, Chris C. Tang, Florian Holtbernd, Christian Dresel, Yoon Young Choi, Yilong Ma, Vijay Dhawan, David Eidelberg

×

Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 379 38
PDF 134 17
Figure 361 0
Table 101 0
Supplemental data 54 0
Citation downloads 114 0
Totals 1,143 55
Total Views 1,198
(Click and drag on plot area to zoom in. Click legend items above to toggle)

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement