Sandeep Bodda

Dr. Sandeep Bodda currently serves as Assistant Professor at the Amrita Mind Brain Center in 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 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.

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Cognitive Neuroscience, Behavioral Neuroscience

Scopus Publications

Interconnections and global transitions among functional states encode activity-related dynamics as brain topology changes after yoga training
Sandeep Bodda, Shyam Diwakar
Scientific Reports, 2025
Exploring EEG spectral and temporal dynamics underlying a hand grasp movement
Sandeep Bodda, Shyam Diwakar
Plos One, 2022
For brain-computer interfaces, resolving the differences between pre-movement and movement requires decoding neural ensemble activity in the motor cortex’s functional regions and behavioural patterns. Here, we explored the underlying neural activity and mechanisms concerning a grasped motor task by recording electroencephalography (EEG) signals during the execution of hand movements in healthy subjects. The grasped movement included different tasks; reaching the target, grasping the target, lifting the object upwards, and moving the object in the left or right directions. 163 trials of EEG data were acquired from 30 healthy participants who performed the grasped movement tasks. Rhythmic EEG activity was analysed during the premovement (alert task) condition and compared against grasped movement tasks while the arm was moved towards the left or right directions. The short positive to negative deflection that initiated around -0.5ms as a wave before the onset of movement cue can be used as a potential biomarker to differentiate movement initiation and movement. A rebound increment of 14% of beta oscillations and 26% gamma oscillations in the central regions was observed and could be used to distinguish pre-movement and grasped movement tasks. Comparing movement initiation to grasp showed a decrease of 10% in beta oscillations and 13% in gamma oscillations, and there was a rebound increment 4% beta and 3% gamma from grasp to grasped movement. We also investigated the combination MRCPs and spectral estimates of α, β, and γ oscillations as features for machine learning classifiers that could categorize movement conditions. Support vector machines with 3rdorder polynomial kernel yielded 70% accuracy. Pruning the ranked features to 5 leaf nodes reduced the error rate by 16%. For decoding grasped movement and in the context of BCI applications, this study identifies potential biomarkers, including the spatio-temporal characteristics of MRCPs, spectral information, and choice of classifiers for optimally distinguishing initiation and grasped movement.
Computational Exploration of Neural Dynamics Underlying Music Cues among Trained and Amateur Subjects
Akhil Kalariparambil Santhosh, Muralikrishna Sangilirajan, Nijin Nizar, Rakhi Radhamani, Dhanush Kumar, et al.
Procedia Computer Science, 2020
Computational analysis of EEG activity during stance and swing gait phases
Sandeep Bodda, Sreelekshmi Maya, Manu Naryanan Em Potti, Uma Sohan, Yellapu Bhuvaneshwari, et al.
Procedia Computer Science, 2020
Experimental Recording and Assessing Gait Phases Using Mobile Phone Sensors and EEG
Abhijith Balachandran, Chaitanya Nutakki, Sandeep Bodda, Bipin Nair, Shyam Diwakar
2018 International Conference on Advances in Computing Communications and Informatics Icacci 2018, 2018
Modeling population network activity using LFPsim, spiking neurons and neural mass models
Sandeep Bodda, Radhika K. Palathingal, Vinayak Sankar, Bipin Nair, Shyam Diwakar
2017 International Conference on Advances in Computing Communications and Informatics Icacci 2017, 2017
Mathematical modelling of cerebellar granular layer neurons and network activity: Information estimation, population behaviour and robotic abstractions
Shyam Diwakar, Chaitanya Nutakki, Sandeep Bodda, Arathi Rajendran, Asha Vijayan, et al.
Springer Indam Series, 2017
Categorizing imagined right and left motor imagery BCI tasks for low-cost robotic neuroprosthesis
Sandeep Bodda, Harikrishnan Chandranpillai, Pooja Viswam, Swathy Krishna, Bipin Nair, et al.
International Conference on Electrical Electronics and Optimization Techniques Iceeot 2016, 2016
EEG-based assessment of image sequence-based user authentication in computer network security
Priya Chellaiah, Sandeep Bodda, Rahul Lal, Clinton Madhu, Vaibhav Zamare, et al.
International Conference on Electrical Electronics and Optimization Techniques Iceeot 2016, 2016
Computing LFP from biophysical models of neurons and neural microcircuits
Sandeep Bodda, Harilal Parasuram, Bipin Nair, Shyam Diwakar
2016 International Conference on Advances in Computing Communications and Informatics Icacci 2016, 2016
Neural Control using EEG as a BCI Technique for Low Cost Prosthetic Arms
Shyam Diwakar, Sandeep Bodda, Chaitanya Nutakki, Asha Vijayan, Krishnashree Achuthan, et al.
International Joint Conference on Computational Intelligence, 2014
Neural control using EEG as a BCI technique for low cost prosthetic arms
Shyam Diwakar, Sandeep Bodda, Chaitanya Nutakki, Asha Vijayan, Krishnashree Achuthan, et al.
Ncta 2014 Proceedings of the International Conference on Neural Computation Theory and Applications, 2014

RECENT SCHOLAR PUBLICATIONS

Implementing and Deploying a Student Friendly GUI-based Platfrom for EEG signal processing
R Alikkal, VH Akula, B Shankar, M Krishna, S Bodda, S Krishna, ...
2025 International Conference on Robotics and Mechatronics (ICRM), 1-6 , 2025
2025
Interconnections and global transitions among functional states encode activity-related dynamics as brain topology changes after yoga training
S Bodda, S Diwakar
Scientific Reports 15 (1), 16845 , 2025
2025
Citations: 4
Exploring EEG spectral and temporal dynamics underlying a hand grasp movement
S Bodda, S Diwakar
Plos One 17 (6) , 2022
2022
Citations: 16
Signal Processing in Yoga-Related Neural Circuits and Implications of Stretching and Sitting Asana on Brain Function
D Kumar, AC Puthanveedu, K Mohan, LA Priya, A Rajeev, AC Harisudhan, ...
Cybernetics, Cognition and Machine Learning Applications: Proceedings of … , 2021
2021
Citations: 2
Correlations of gait phase kinematics and cortical EEG: modelling human gait with data from sensors
C Nutakki, S Bodda, S Diwakar
Advances in Neural Signal Processing , 2020
2020
Citations: 5
Computational exploration of neural dynamics underlying music cues among trained and amateur subjects
AK Santhosh, M Sangilirajan, N Nizar, R Radhamani, D Kumar, S Bodda, ...
Procedia Computer Science 171, 1839-1847 , 2020
2020
Citations: 8
Computational analysis of EEG activity during stance and swing gait phases
S Bodda, S Maya, MNE Potti, U Sohan, Y Bhuvaneshwari, R Mathiyoth, ...
Procedia Computer Science 171, 1591-1597 , 2020
2020
Citations: 11
Experimental recording and assessing gait phases using mobile phone sensors and EEG
A Balachandran, C Nutakki, S Bodda, B Nair, S Diwakar
2018 International Conference on Advances in Computing, Communications and … , 2018
2018
Citations: 5
Activity: Information Estimation, Population
S Diwakar, C Nutakki, S Bodda, A Rajendran, A Vijayan, B Nair
Mathematical and Theoretical Neuroscience: Cell, Network and Data Analysis … , 2018
2018
Modeling population network activity using lfpsim, spiking neurons and neural mass models
S Bodda, RK Palathingal, V Sankar, B Nair, S Diwakar
2017 International Conference on Advances in Computing, Communications and … , 2017
2017
Cerebellum in Neurological Disorders: A Review on the Role of Inter-Connected Neural Circuits
AG Rajendran, C Nutakki, H Sasidharakurup, S Bodda, B Nair, ...
Journal of Neurology & Stroke 6 (2) , 2017
2017
Citations: 5
Mathematical Modelling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions
S Diwakar, C Nutakki, S Bodda, R Arathi, A Vijayan, B Nair
Mathematical and Theoretical Neuroscience 24, 61-85 , 2017
2017
EEG-Based Assessment of Image Sequence-Based User Authentication in Computer Network Security
P Chellaiah, S Bodda, RD Lal, C Madhu, V Zamare, B Nair, K Achuthan, ...
Proceedings of International Conference on Electrical, Electronics and … , 2016
2016
Citations: 7
Categorizing Imagined Right and Left Motor Imagery BCI Tasks for Low-cost Robotic Neuroprosthesis
S Bodda, H Chandranpillai, P Viswam, S Krishna, B Nair, S Diwakar
Electrical, Electronics, and Optimization Techniques (ICEEOT), International … , 2016
2016
Citations: 7
Computing LFP from biophysical models of neurons and neural microcircuits
S Bodda, H Parasuram, B Nair, S Diwakar
2016 International Conference on Advances in Computing, Communications and … , 2016
2016
Citations: 2
Neural Control using EEG as a BCI Technique for Low Cost Prosthetic Arms
S Diwakar, S Bodda, C Nutakki, A Vijayan, K Achuthan, B Nair
6th International Conference on Neural Computation Theory and Applications … , 2014
2014
Citations: 21

MOST CITED SCHOLAR PUBLICATIONS

Neural Control using EEG as a BCI Technique for Low Cost Prosthetic Arms
S Diwakar, S Bodda, C Nutakki, A Vijayan, K Achuthan, B Nair
6th International Conference on Neural Computation Theory and Applications … , 2014
2014
Citations: 21
Exploring EEG spectral and temporal dynamics underlying a hand grasp movement
S Bodda, S Diwakar
Plos One 17 (6) , 2022
2022
Citations: 16
Computational analysis of EEG activity during stance and swing gait phases
S Bodda, S Maya, MNE Potti, U Sohan, Y Bhuvaneshwari, R Mathiyoth, ...
Procedia Computer Science 171, 1591-1597 , 2020
2020
Citations: 11
Computational exploration of neural dynamics underlying music cues among trained and amateur subjects
AK Santhosh, M Sangilirajan, N Nizar, R Radhamani, D Kumar, S Bodda, ...
Procedia Computer Science 171, 1839-1847 , 2020
2020
Citations: 8
EEG-Based Assessment of Image Sequence-Based User Authentication in Computer Network Security
P Chellaiah, S Bodda, RD Lal, C Madhu, V Zamare, B Nair, K Achuthan, ...
Proceedings of International Conference on Electrical, Electronics and … , 2016
2016
Citations: 7
Categorizing Imagined Right and Left Motor Imagery BCI Tasks for Low-cost Robotic Neuroprosthesis
S Bodda, H Chandranpillai, P Viswam, S Krishna, B Nair, S Diwakar
Electrical, Electronics, and Optimization Techniques (ICEEOT), International … , 2016
2016
Citations: 7
Correlations of gait phase kinematics and cortical EEG: modelling human gait with data from sensors
C Nutakki, S Bodda, S Diwakar
Advances in Neural Signal Processing , 2020
2020
Citations: 5
Experimental recording and assessing gait phases using mobile phone sensors and EEG
A Balachandran, C Nutakki, S Bodda, B Nair, S Diwakar
2018 International Conference on Advances in Computing, Communications and … , 2018
2018
Citations: 5
Cerebellum in Neurological Disorders: A Review on the Role of Inter-Connected Neural Circuits
AG Rajendran, C Nutakki, H Sasidharakurup, S Bodda, B Nair, ...
Journal of Neurology & Stroke 6 (2) , 2017
2017
Citations: 5
Interconnections and global transitions among functional states encode activity-related dynamics as brain topology changes after yoga training
S Bodda, S Diwakar
Scientific Reports 15 (1), 16845 , 2025
2025
Citations: 4
Signal Processing in Yoga-Related Neural Circuits and Implications of Stretching and Sitting Asana on Brain Function
D Kumar, AC Puthanveedu, K Mohan, LA Priya, A Rajeev, AC Harisudhan, ...
Cybernetics, Cognition and Machine Learning Applications: Proceedings of … , 2021
2021
Citations: 2
Computing LFP from biophysical models of neurons and neural microcircuits
S Bodda, H Parasuram, B Nair, S Diwakar
2016 International Conference on Advances in Computing, Communications and … , 2016
2016
Citations: 2
Implementing and Deploying a Student Friendly GUI-based Platfrom for EEG signal processing
R Alikkal, VH Akula, B Shankar, M Krishna, S Bodda, S Krishna, ...
2025 International Conference on Robotics and Mechatronics (ICRM), 1-6 , 2025
2025
Activity: Information Estimation, Population
S Diwakar, C Nutakki, S Bodda, A Rajendran, A Vijayan, B Nair
Mathematical and Theoretical Neuroscience: Cell, Network and Data Analysis … , 2018
2018
Modeling population network activity using lfpsim, spiking neurons and neural mass models
S Bodda, RK Palathingal, V Sankar, B Nair, S Diwakar
2017 International Conference on Advances in Computing, Communications and … , 2017
2017
Mathematical Modelling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions
S Diwakar, C Nutakki, S Bodda, R Arathi, A Vijayan, B Nair
Mathematical and Theoretical Neuroscience 24, 61-85 , 2017
2017