Tupe-Waghmare, Priyanka
Rajan, Archith
Prasad, Shweta
Saini, Jitender
Pal, Pramod Kumar
Ingalhalikar, Madhura
Funding for this research was provided by:
Department of Science and Technology – Science and Engineering Research Board (ECR/2016/000808, EMR/2017/004523)
Article History
Received: 14 December 2020
Revised: 3 March 2021
Accepted: 1 April 2021
First Online: 4 May 2021
Declarations
:
: The scientific guarantor of this publication is Madhura Ingalhalikar.
: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: No complex statistical methods were necessary for this paper.
: Written informed consent was obtained from all subjects (patients) in this study.
: Institutional Review Board approval was obtained.
: Some study subjects who were part of the cohort have been part of previous studies from our group:Shinde S, Prasad S, Saboo Y, et al Predictive markers for Parkinson’s disease using deep neural nets on neuromelanin sensitive MRI. Neuroimage Clin. 2019;22:101748.Naduthota RM, Bharath RD, Jhunjhunwala K, et al Imaging biomarker correlates with oxidative stress in Parkinson’s disease. Neurol India. 2017;65(2):263-268.Dash SK, Stezin A, Takalkar T, et al Abnormalities of white and gray matter in early multiple system atrophy: comparison of parkinsonian and cerebellar variants. European radiology. 2019;29(2):716-724.
: • Retrospective• Case-control study• Performed at one institution