Neuroimaging Characteristics of Levodopa-Induced Dyskinesia in de novo Parkinson’s Disease Patients

Poster No:

1968 

Submission Type:

Abstract Submission 

Authors:

Sakshi Shukla1, Mantosh Patnaik1, Aditya Kumar2, Sule Tinaz3, Nivethida Thirugnanasambandam4

Institutions:

1Indian Institute of Technology (IIT) Bombay, Mumbai, Maharashtra, 2Indian Institute of Science, Education and Research (IISER), Kolkata, Kolkata, 3Yale School of Medicine, New Haven, CT, 4Indian Institute of Technology Bombay, Mumbai, Maharashtra

First Author:

Sakshi Shukla  
Indian Institute of Technology (IIT) Bombay
Mumbai, Maharashtra

Co-Author(s):

Mantosh Patnaik  
Indian Institute of Technology (IIT) Bombay
Mumbai, Maharashtra
Aditya Kumar  
Indian Institute of Science, Education and Research (IISER)
Kolkata, Kolkata
Sule Tinaz  
Yale School of Medicine
New Haven, CT
Nivethida Thirugnanasambandam  
Indian Institute of Technology Bombay
Mumbai, Maharashtra

Introduction:

Levodopa-induced dyskinesia (LID) is a significant treatment complication that affects a substantial proportion of Parkinson's disease (PD) patients. Our understanding of the neural basis of LID remains limited, partly due to the small sample sizes in existing neuroimaging studies.

Methods:

In this study, we utilized structural MRI data from the Parkinson's Progression Markers Initiative (PPMI) database, including de novo PD patients (104 non-dyskinetic for a least 3 years after diagnosis and 120 who developed dyskinesia) and 100 age- and sex-matched healthy controls. Additionally, we analyzed resting-state functional MRI data from a subset of these participants to investigate connectivity differences among the groups.
Supporting Image: Figure_01.jpg
   ·Study Pipeline
 

Results:

Our analysis revealed no significant baseline volumetric differences between dyskinetic and non-dyskinetic PD patients. However, the thickness of frontal and sensorimotor cortices were significantly greater in dyskinetic patients. In the subcortical regions, vertex-based shape analysis identified localized surface growth in the left caudate and left pallidum, as well as surface morphology changes in the bilateral pallidum in dyskinetics. Resting-state functional connectivity analysis revealed stronger connectivity between the putamen, inferior frontal gyrus, and sensory cortex in dyskinetic PD patients compared to non-dyskinetics.

Conclusions:

These findings suggest that specific morphological and functional changes in the motor cortical-basal ganglia circuitry of de novo PD patients may predispose them to LID over time. Additionally, the altered functional connectivity patterns reinstate the role of the inferior frontal gyrus in the pathophysiology of dyskinesia and suggest that it might be a suitable target for neuromodulatory interventions, consistent with previous reports.
Supporting Image: PPMI_Graphical_abstract.jpg
   ·Graphical abstract
 

Disorders of the Nervous System:

Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 2

Modeling and Analysis Methods:

fMRI Connectivity and Network Modeling
Segmentation and Parcellation

Novel Imaging Acquisition Methods:

BOLD fMRI
Multi-Modal Imaging 1

Keywords:

FUNCTIONAL MRI
STRUCTURAL MRI
Other - Parkinson's disease, Voxel-based morphometry, Vertex-based analysis, Levodopa-Induced Dyskinesia

1|2Indicates the priority used for review

Abstract Information

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Please indicate below if your study was a "resting state" or "task-activation” study.

Resting state

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Patients

Was this research conducted in the United States?

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Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

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Please indicate which methods were used in your research:

Functional MRI
Structural MRI

For human MRI, what field strength scanner do you use?

3.0T

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SPM
FSL
Free Surfer

Provide references using APA citation style.

Cerasa, A., Morelli, M., Augimeri, A., Salsone, M., Novellino, F., Gioia, M. C., Arabia, G., & Quattrone, A. (2013). Prefrontal thickening in PD with levodopa-induced dyskinesias: new evidence from cortical thickness measurement. Parkinsonism & Related Disorders, 19(1), 123–125. https://doi.org/10.1016/j.parkreldis.2012.06.003
Cerasa, A., Koch, G., Donzuso, G., Mangone, G., Morelli, M., Brusa, L., Stampanoni Bassi, M., Ponzo, V., Picazio, S., Passamonti, L., Salsone, M., Augimeri, A., Caltagirone, C., & Quattrone, A. (2015). A network centred on the inferior frontal cortex is critically involved in levodopa-induced dyskinesias. Brain : a journal of neurology, 138(Pt 2), 414–427. https://doi.org/10.1093/brain/awu329
Hacker, C. D., Perlmutter, J. S., Criswell, S. R., Ances, B. M., & Snyder, A. Z. (2012). Resting state functional connectivity of the striatum in Parkinson's disease. Brain : a journal of neurology, 135(Pt 12), 3699–3711. https://doi.org/10.1093/brain/aws281
Herz, D. M., Eickhoff, S. B., Løkkegaard, A., & Siebner, H. R. (2014). Functional neuroimaging of motor control in Parkinson's disease: a meta-analysis. Human brain mapping, 35(7), 3227–3237. https://doi.org/10.1002/hbm.22397
Herz, D. M., Haagensen, B. N., Nielsen, S. H., Madsen, K. H., Løkkegaard, A., & Siebner, H. R. (2016). Resting-state connectivity predicts levodopa-induced dyskinesias in Parkinson’s disease. Movement Disorders : Official Journal of the Movement Disorder Society, 31(4), 521–529. https://doi.org/10.1002/mds.26540
Yoo, H. S., Choi, Y. H., Chung, S. J., Lee, Y. H., Ye, B. S., Sohn, Y. H., Lee, J. M., & Lee, P. H. (2019). Cerebellar connectivity in Parkinson's disease with levodopa-induced dyskinesia. Annals of clinical and translational neurology, 6(11), 2251–2260. https://doi.org/10.1002/acn3.50918
Youn, J., Kim, M., Park, S., Kim, J. S., Park, H., & Cho, J. W. (2022). Pallidal Structural Changes Related to Levodopa-induced Dyskinesia in Parkinson’s Disease. Frontiers in Aging Neuroscience, 14. https://doi.org/10.3389/FNAGI.2022.781883
Zhang, X., Chen, W., Wu, Y., Zeng, W., Yuan, Y., Cheng, C., Yang, X., Wang, J., Yang, X., Xu, Y., Lei, H., Cao, X., & Xu, Y. (2021). Histological Correlates of Neuroanatomical Changes in a Rat Model of Levodopa-Induced Dyskinesia Based on Voxel-Based Morphometry. Frontiers in Aging Neuroscience, 13, 759934. https://doi.org/10.3389/fnagi.2021.759934

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Please select the country that the first author on this abstract resides and works in from the UNESCO Institute of Statistics and World Bank List of Low and Middle Income Countries (based on gross national income per capita).

India