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Dr. Sandeep Bodda

Assistant Professor, Mind Brain Center, Amritapuri

Qualification: Ph.D
sandeepb@am.amrita.edu

Bio Publications Affiliation Teaching Contributions
Bio

Dr. Sandeep Bodda currently serves as Assistant Professor at the Amrita Mind Brain Center in Amritapuri. He obtained his Ph.D. from the Faculty of Sciences of Amrita Vishwa Vidyapeetham, in Computational Neuroscience. His doctoral research focused on Decoding a hand-grasped movement using electroencephalography (EEG) to understand the neural signatures for movement-based tasks for rehabilitation

His research Interests spans across various domains, including Movement Control, Yoga Intervention Studies, and the Analysis of Cognitive Functions such as, Attention, Working Memory and Stress, using functional connectivity measures. Primarily his research focuses delving into the intricate network interactions within the human brain during various activities such as movement control, yoga interventions, and cognitive processes.

In the context of movement control, Dr. Sandeep Bodda explores how different areas of the brain synchronize and communicate to execute and regulate hand-grasped movements. The use of electroencephalography (EEG) allows for the recording of electrical activity in the brain, offering a real-time window into the dynamic functional connectivity patterns associated with motor tasks. By decoding these neural signatures, his research contributes to a deeper understanding of the neural mechanisms orchestrating precise movements.

Yoga & meditation intervention studies represent another significant area of focus. Dr. Sandeep Bodda studies how engaging in yoga practices influences functional connectivity within the brain. Yoga is known to have diverse effects on physical and mental well-being, and by employing functional connectivity measures, he aims to elucidate the neurological underpinnings of these effects. This research could potentially uncover how specific neural networks are modulated by yoga & meditation, shedding light on the mechanisms through which yoga enhances cognitive function, while also contributing to an understanding of the complex movements involved and their effects on brain dynamics.

Publications

Journal Article

Year : 2025

Interconnections and global transitions among functional states encode activity-related dynamics as brain topology changes after yoga training

Cite this Research Publication : Sandeep Bodda, Shyam Diwakar, Interconnections and global transitions among functional states encode activity-related dynamics as brain topology changes after yoga training, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-00134-y

Publisher : Springer Science and Business Media LLC

Year : 2022

Exploring EEG spectral and temporal dynamics underlying a hand grasp movement

Cite this Research Publication : Bodda S, Diwakar S (2022) Exploring EEG spectral and temporal dynamics underlying a hand grasp movement, PLoS ONE 17(6): e0270366, 2022

Year : 2017

Cerebellum in Neurological Disorders: A Review on the Role of Inter-Connected Neural Circuits

Cite this Research Publication : Arathi G. Rajendran, Chaitanya Nutakki, Hemalatha Sasidharakurup, Sandeep Bodda, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Cerebellum in Neurological Disorders: A Review on the Role of Inter-Connected Neural Circuits”, Journal of Neurology and Stroke, vol. 6, pp. 1-4, 2017

Publisher : Journal of Neurology and Stroke.

Book Chapter

Year : 2020

Correlations of Gait Phase Kinematics and Cortical EEG: Modelling Human Gait with Data from Sensors

Cite this Research Publication : Chaitanya Nutakki, Sandeep Bodda and Shyam Diwakar (September 9th 2020). Correlations of Gait Phase Kinematics and Cortical EEG: Modelling Human Gait with Data from Sensors, Advances in Neural Signal Processing, Ramana Vinjamuri, IntechOpen, DOI: 10.5772/intechopen.88465. Available from: https://www.intechopen.com/chapters/68413

Publisher : IntechOpen

Year : 2018

Mathematical Modeling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions

Cite this Research Publication : Diwakar S., Nutakki C., Bodda S., Rajendran A., Vijayan A., Nair B. (2017) Mathematical Modelling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions. In: Naldi G., Nieus T. (eds) Mathematical and Theoretical Neuroscience. Springer INdAM Series, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-319-68297-6_4

Publisher : Springer

Affiliation
  • April 01, 2024 – August 30,2025. Research Scientist, Amrita Mind Brain Center, Amrita Vishwa Vidyapeetham.
  • January 01, 2022 – March 31,2024. Research Associate, Amrita Mind Brain Center, Amrita Vishwa Vidyapeetham.
Teaching
  • 23BI755- Brain Computer Interfaces – MTech., BISP – Semester 3 -3 Credits
  • 23ECE101- Nature Inspired Engineering – B.Tech., – Semester 1 – 3 Credits
  • 24CLT652- Neurophysiology and Neuroimaging – M.Sc., Cognitive Science – Semester 3 – 3 Credits
Contributions

Peer-reviewed Conference Publications

  • Sandeep Bodda, “Decoding hand grasped movement when used as BMI from EEG electrodes –revealing use of gamma oscillations”, 2nd International Brain Computer Interface Un-Conference by University of Vienna, 10- 11 February 2021
  • Dhanush Kumar, Akshara Chelora Puthanveedu, Krishna Mohan, Lekshmi Aji Priya, Anjali Rajeev, Athira Cheruvathery Harisudhan, Asha Vijayan, Sandeep Bodda and Shyam Diwakar, Signal Processing in Yoga-Related Neural Circuits and Implications of Stretching and Sitting Asana on Brain Function, Proceedings of the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications, Goa, India, August 29-30, 2020.
  • Sandeep Bodda, Sreelekshmi Maya, Manu Naryanan EM Potti, Uma Sohan, Yellapu Bhuvaneshwari, Rithul Mathiyoth, Shyam Diwakar, Computational analysis of EEG activity during stance and swing gait phases, Proceedings of the Third International Conference on Computing and Network Communications (CoCoNet’19), Trivandrum, Kerala, India, Dec 18-21, 2019.
  • Akhil Santosh, Muralikirshna Sangilirajan, Nijin Nizar, Rakhi Radhamani, Dhanush Kumar, Sandeep Bodda, Shyam Diwakar, Computational Exploration of Neural Dynamics Underlying Music Cues Among Trained and Amateur Subject (SETAC’19), Proceedings of the Third International Conference on Computing and Network Communications (CoCoNet’19), Trivandrum, Kerala, India, Dec 18-21, 2019.
  • Balachandran A., Nutakki C., Bodda S., Nair B., Diwakar S., Experimental Recording and Assessing Gait Phases Using Mobile Phone Sensors and EEG, Proceedings of the Seventh International Conference on Advances in Computing, Communications and Informatics (ICACCI-2018), Bangalore, Karnataka, India, Sept 19-22, 2018.
  • Bodda S., Palathingal R. K., Shankar V., Nair B., Diwakar S., Modeling Population Network Activity using LFPsim, Spiking Neurons and Neural Mass Models, Proceedings of the Sixth International Conference on Advances in Computing, Communications and Informatics (ICACCI-2017, Manipal University, Karnataka, India, Sept 13-16, 2017.
  • Bodda S, Nair B, Diwakar S, Mathematical Modelling of Post Synaptic Evoked Local Field Potential Using Neural Mass Model, XXXIV Annual Meeting of Indian Academy of Neurosciences (IAN), National Brain Research Center, Manesar, India, Oct 19-21, 2016.
  • Bodda S, Parasuram H, Nair B, Diwakar S. Computing LFP From Biophysical Models of Neurons and Neural Microcircuits, Proceedings of 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI 2016), Jaipur, India, Sept 21-24,2016.
  • Chellaiah P, Bodda S, Lal R, Madhu C, Zamare V, Nair B, Achuthan K, Diwakar S. EEG-Based Assessment of Image Sequence-Based User Authentication in Computer Network Security, Proceedings of IEEE International Conference on Electrical, Electronics and Optimization Techniques (ICEEOT 2016), Chennai, March 3-5, 2016.
  • Bodda S, Chandranpillai H, Viswam P, Krishna S, Nair B, Diwakar S. Categorizing Imagined Right and Left Motor Imagery BCI Tasks for Low-cost Robotic Neuroprosthesis, Proceedings of IEEE International Conference on Electrical, Electronics and Optimization Techniques (ICEEOT 2016), Chennai, March 3-5, 2016.
  • Bodda S., Nair B., Diwakar S, EEG-Based Assessment and Categorisation for Imagery Based Movement and Mental Tasks, Proceedings of the International symposium on Translational Neuroscience & XXXIII Annual Conference of the Indian Academy of Neurosciences, Panjab University, Chandigarh, India, Oct 31-Nov 2, 2015.
  • Bodda S., Nair B., Diwakar S., Using surface EEG to explore computer brain interactions for robotic manipulation, Proceedings of the International Conference on Recent Advances in Cognition and Health, Banaras Hindu University, Varanasi, India, Dec 19- Dec 21, 2014.
  • Bodda S., Nair B., Diwakar S., Extracting motor imagery for computer -brain interactions: Using F4 F3 channels for robotic manipulation, Proceedings of the International symposium on Translational Neuroscience & XXXII Annual Conference of the Indian Academy of Neurosciences, NIMHANS, Bangalore, India, Nov 1-Nov 3, 2014.
  • Diwakar S, Bodda S, Nutakki C, Vijayan A, Achuthan K, Nair B, Neural Control using EEG as a BCI Technique for Low-Cost Prosthetic Arms, Proceedings of the 6th International Conference on Neural Computation Theory and Applications (NCTA 2014), Rome, Oct 22-24, 2014.

Talks

  • Talk – addressed on the science of meditation at the one-day Pedagogy Workshop on delivering and teaching the MA-OM Mastery Over Mind Meditation Program held on September 17, 2022, at our Amritapuri campus.
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