Sandeep Bodda

About

Currently serves as Assistant Professor at the Amrita Mind Brain Center, Amrita Vishwa Vidyapeetham, Amritapuri. My 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 the 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, 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. How engaging in yoga practices influences functional connectivity within the brain. 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.

Employment

• Amrita Vishwa Vidyapeetham - Amritapuri Campus Assistant Professor
  2025 - Present
• Amrita Vishwa Vidyapeetham Research Scientist
  2024 - 2025

Education

• Amrita Vishwa Vidyapeetham Ph.D.
  2016 - 2023
• Amrita Vishwa Vidyapeetham M.Sc.
  2010 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Interconnections and global transitions among functional states encode activity-related dynamics as brain topology changes after yoga training
  Scientific Reports 2025 DOI: 10.1038/s41598-025-00134-y
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• Exploring EEG spectral and temporal dynamics underlying a hand grasp movement
  Plos One 2022 DOI: 10.1371/journal.pone.0270366
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• Signal Processing in Yoga-Related Neural Circuits and Implications of Stretching and Sitting Asana on Brain Function
  Cybernetics, Cognition and Machine Learning Applications 2021 DOI: 10.1007/978-981-33-6691-6_19
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• Correlations of Gait Phase Kinematics and Cortical EEG: Modelling Human Gait with Data from Sensors
  Advances in Neural Signal Processing 2020 DOI: 10.5772/intechopen.88465
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• Computational Exploration of Neural Dynamics Underlying Music Cues among Trained and Amateur Subjects
  Procedia Computer Science 2020 DOI: 10.1016/j.procs.2020.04.197
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• Computational analysis of EEG activity during stance and swing gait phases
  Procedia Computer Science 2020 DOI: 10.1016/j.procs.2020.04.170
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• Experimental Recording and Assessing Gait Phases Using Mobile Phone Sensors and EEG
  2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018 2018 DOI: 10.1109/ICACCI.2018.8554790
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• Mathematical modelling of cerebellar granular layer neurons and network activity: Information estimation, population behaviour and robotic abstractions
  Springer INdAM Series 2017 DOI: 10.1007/978-3-319-68297-6_4
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• Modeling population network activity using LFPsim, spiking neurons and neural mass models
  2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 2017 DOI: 10.1109/ICACCI.2017.8125898
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• Categorizing imagined right and left motor imagery BCI tasks for low-cost robotic neuroprosthesis
  International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016 2016 DOI: 10.1109/ICEEOT.2016.7755394
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