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Is There a Better Way to Assess Parkinsonian Motor Symptoms?—Experimental and Modelling Approach

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Techniques for Assessment of Parkinsonism for Diagnosis and Rehabilitation

Part of the book series: Series in BioEngineering ((SERBIOENG))

Abstract

Neurodegenerative diseases such as Parkinson’s Disease (PD) and Alzheimer’s Disease severely impact patients and make their day-to-day life activities difficult. We still lack accurate diagnostic measures that can correctly assess the disease condition and its severity. Our study aims to bridge the gap between the predominantly subjective evaluation criterion towards a more enhanced technology-driven evaluation system that gives an accurate indication of the disease progression and helps decide on the optimized therapeutic intervention. In the subsequent sections, we briefly highlight the current evaluation criteria such as MDS-UPDRS and discuss how a quantitatively driven assessment approach would be useful. This study also touches upon assessing different symptoms, different stages of the disease, and classifying the patients. This study tries to cover assessment techniques for the early stage non-motor and motor symptoms, the cardinal symptoms of PD, and also explores the impact of PD on cognitive abilities. We have also briefly touched upon various therapeutic strategies and tried to review a few of the modeling approaches that we believe would go a long way in fine-tuning the disease management of PD itself. PD has a wide range of symptoms, and due to overlapping similarities with other diseases, it becomes incredibly challenging to classify the patients and design therapeutic regimes. We are optimistic that with a combination of experimental and modeling studies, we would be able to bridge this gap.

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Authors and Affiliations

  1. Computational Neuroscience Lab, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Tamil Nadu, Chennai, 600036, India

    Sandeep Sathyanandan Nair, Vignayanandam Ravindernath Jayashree Muddapu, Meghna Sriram, Reema Gupta & Srinivasa Chakravarthy

  2. Madurai Medical College, Tamil Nadu, Madurai, 625020, India

    R. Aditya

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  1. Sandeep Sathyanandan Nair
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  2. Vignayanandam Ravindernath Jayashree Muddapu
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  3. Meghna Sriram
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  4. R. Aditya
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  5. Reema Gupta
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  6. Srinivasa Chakravarthy
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Correspondence to Srinivasa Chakravarthy .

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  1. Department of Electronics and Instrumentation Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India

    Sridhar P. Arjunan

  2. Biosignals lab, School of Engineering, RMIT University, Melbourne, VIC, Australia

    Dinesh Kant Kumar

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Nair, S.S., Muddapu, V.R.J., Sriram, M., Aditya, R., Gupta, R., Chakravarthy, S. (2022). Is There a Better Way to Assess Parkinsonian Motor Symptoms?—Experimental and Modelling Approach. In: Arjunan, S.P., Kumar, D.K. (eds) Techniques for Assessment of Parkinsonism for Diagnosis and Rehabilitation. Series in BioEngineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-3056-9_10

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