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Dr. Harilal Parasuram

Assistant Professor | In-Charge, Brain Mapping Research Lab | Amrita Advanced Center for Epilepsy & Department of Neurology

Qualification: MSc, Ph.D
Scholar

Bio Publications Professional Experience Reviewer Master Thesis – Guided Research Interest Advanced Courses & Training Theoretical and Analytical tools Funding
Bio

Dr. Harilal Parasuram, currently an Assistant Professor in the Department of Neurology at the Amrita Advanced Centre for Epilepsy (AACE), Amrita Institute of Medical Sciences, Kochi, India, has played a crucial role in establishing the research laboratory since 2019. Before ascending to this role, he served as a Post-doctoral fellow at AACE from 2017 to 2019. His academic credentials are robust, with a Ph.D. in Computational Neuroscience from Amrita University, Kollam, Kerala, and a Master of Science in Bioinformatics.

His research interests are multifaceted, predominantly focusing on epileptogenic zone localization through advanced techniques like Stereo EEG, HD-EEG, and electrical source localization, as well as SISCOM and Voxel Based Morphometry. Dr. Harilal Parasuram is also deeply engaged in the development of wearable medical devices and the integration of Artificial Intelligence in medicine and open-source tool development.

His work has been acknowledged with prestigious fellowships from the Council of Scientific & Industrial Research and the Department of Science and Technology, Government of India. He also received multiple certificates of appreciation from Amrita University and was honored with travel awards for international academic endeavors.

He has been invited to deliver talks at various prestigious institutions and conferences, where he has shared his insights on topics ranging from epileptogenic zone localization to detailed mathematical modeling of neuronal population activity.

Dr. Harilal Parasuram’s career is a testament to his dedication and significant contributions to computational neurology, particularly in epilepsy research.

Education and Academic Background

  • Ph.D. in Computational Neuroscience from Amrita University, where he conducted pioneering research on neuronal excitability in the granular layer ensembles of the cerebellum, using local field potential (LFP) modeling.

Current Role

Currently,  he is an esteemed Assistant Professor and in-charge of the Brain Mapping Research Lab associated with Amrita Advanced Center for Epilepsy and the Department of Neurology.

Publications

Journal Article

Year : 2023

Improving the accuracy of epileptogenic zone localization in stereo EEG with machine learning algorithms

Cite this Research Publication : Bijoy Jose, Siby Gopinath, Arjun Vijayanatha Kurup, Manjusha Nair, Ashok Pillai, Anand Kumar and Harilal Parasuram, Improving the Accuracy of Epileptogenic Zone Localization in Stereo EEG with Machine Learning Algorithms, Brain Res, Aug 24;148546, 2023 .

Year : 2022

Retrospective analysis of autonomic dysfunction in epilepsy patients from neurophysiological recordings

Cite this Research Publication : A Shridharani,H. Parasuram, B. Mrudula,R.Bhaskaran, A. Kumar & S.Gopinath, "Retrospective analysis of autonomic dysfunction in epilepsy patients from neurophysiological recordings," Neurology Asia, Vol. 27 No. 3 (2022). DOI: https://doi.org/10.54029/2022mpp

Year : 2022

Role of Artificial Intelligence and Machine Learning in the prediction of the pain

Cite this Research Publication : R. Sankaran, A. Kumar and H. Parasuram, Role of Artificial Intelligence and Machine Learning in the prediction of the pain: A Scoping Systematic Review, Journal of engineering in medicine, 2022.

Year : 2021

Predicting Autonomic Dysfunction in Anxiety Disorder from ECG and Respiratory Signals Using Machine Learning Models

Cite this Research Publication : Abhilash Saj George, Arjun Vijayanatha Kurup, Parthasarathy Balachandran, Manjusha Nair, Siby Gopinath, Anand Kumar, Harilal Parasuram Parasuram. Predicting Autonomic Dysfunction in Anxiety Disorder from ECG and Respiratory Signals Using Machine Learning Models, International Journal of Online & Biomedical Engineering, 17 (7), 2021, DOI: https://doi.org/10.3991/ijoe.v17i07.22581

Year : 2021

Quantification of epileptogenic network from Stereo EEG recordings using Epileptogenicity Ranking method

Cite this Research Publication : Parasuram H, Gopinath S, Pillai A, Diwakar S, Kumar A., Quantification of epileptogenic network from Stereo EEG recordings using Epileptogenicity Ranking method, Front. Neurol., 03 November 2021, https://doi.org/10.3389/fneur.2021.738111

Publisher : Frontiers in Neurology

Year : 2018

Understanding Cerebellum Granular Layer Network Computations through Mathematical Reconstructions of Evoked Local Field Potentials

Cite this Research Publication : Parasuram H., Dr. Bipin G. Nair, Naldi G., D’Angelo E., and Dr. Shyam Diwakar, “Understanding Cerebellum Granular Layer Network Computations through Mathematical Reconstructions of Evoked Local Field Potentials”, Annals of Neuroscience, vol. 25, pp. 11-24, 2018. DOI: https://doi.org/10.1159/000481905

Publisher : Annals of Neurosciences.

Year : 2016

Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim

Cite this Research Publication : Harilal Parasuram, Dr. Bipin G. Nair, Egidio D‘Angelo, Michael Hines, Giovanni Naldi, and Dr. Shyam Diwakar, “Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim”, Frontiers in Computational Neuroscience, p. 10, 2016, 10:65. doi: 10.3389/fncom.2016.00065

Publisher : Frontiers in computational neuroscience.

Year : 2014

Complementing neurophysiology education for developing countries via cost-effective virtual labs: Case studies and classroom scenarios

Cite this Research Publication : Dr. Shyam Diwakar, Harilal Parasuram, Chaitanya Medini, Raghu Raman, Prof. Prema Nedungadi, Wiertelak, E., Sanjeeva Srivastava, Dr. Krishnashree Achuthan, and Dr. Bipin G. Nair, “Complementing neurophysiology education for developing countries via cost-effective virtual labs: case studies and classroom scenarios”, The Journal of Undergraduate Neuroscience Education (JUNE), 12(2):A130-A139, March 15, 2014.

Publisher : The Journal of Undergraduate Neuroscience Education (JUNE).

Year : 2011

A modeling based study on the origin and natureof evoked post-synaptic local field potentials in granular layer

Cite this Research Publication : H. Parasuram, B. Nair, G. Naldi, E. D’Angelo, S. Diwakar and H. Parasuram " A modeling based study on the origin and natureof evoked post-synaptic local field potentials in granular layer ",Journal of Physiology Paris, 2011,

Publisher : Journal of Physiology Paris.

Year : 2011

A Modeling based Study on the Origin and Nature of Evoked Post-synaptic Local Field Potentials in Granular Layer

Cite this Research Publication : Harilal Parasuram, Dr. Bipin G. Nair, Giovanni Naldi, D’Angelo, E., and Dr. Shyam Diwakar, “A modeling based study on the origin and nature of evoked post-synaptic local field potentials in granular layer”, Journal of Physiology-Paris, Volume 105, Issues 1-3, January-June 2011, Pages 71-82, ISSN 0928-4257, 10.1016/j.jphysparis.2011.07.011.

Publisher : Elsevier

Conference Paper

Year : 2018

Localization of Epileptogenic Zone: A Graph Theoretical Approach

Publisher : Proceedings of International Conference on Vision, Image and Signal Processing (ICVISP)

Year : 2016

Computing LFP From Biophysical Models of Neurons and Neural Microcircuits

Cite this Research Publication : Bodda S, Parasuram H., Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Computing LFP From Biophysical Models of Neurons and Neural Microcircuits”, in Proceedings of 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI 2016), Jaipur, India, Sept 21-24,2016.

Publisher : Proceedings of 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI 2016), Jaipur, India.

Year : 2015

Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP

Cite this Research Publication : Harilal Parasuram, Dr. Bipin G. Nair, Giovanni Naldi, Egidio D'Angelo, and Dr. Shyam Diwakar, “Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP”, in Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN) 2015, Killarney, Ireland, July 12-17, 2015.

Publisher : 2015 International Joint Conference on Neural Networks (IJCNN), IEEE, Killarney, Ireland.

Year : 2014

Parallelization of a Computational Model of a Biophysical Neuronal Circuitry of Rat Cerebellum

Cite this Research Publication : A. Yoosef, Harilal Parasuram, Chaitanya Medini, Sergio Solinas, Egidio D'Angelo, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Parallelization of a Computational Model of a Biophysical Neuronal Circuitry of Rat Cerebellum”, in Proceedings of International Conference on Interdisciplinary Advances in Applied Computing, Amrita University, Coimbatore, India, October 10-11, 2014.

Publisher : Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing, ACM, New York, NY, USA.

Year : 2011

Taking Project Tiger to the Classroom: A Virtual Lab Case Study

Cite this Research Publication : H. Parasuram, B. Nair, K. Achuthan, S. Diwakar, "Taking Project Tiger to the Classroom: A Virtual Lab Case Study," International Conference on Advances in Computing and Communications, A. Abraham et al. (Eds.): ACC 2011, Part II, CCIS 191, pp. 337--348. Springer, Heidelberg (2011).

Publisher : Communications in Computer and Information Science

Year : 2010

Machine Learning Approaches to Determine the “Drug-Likeness” of the Proteomic Targets

Publisher : Proc. Of Int. Conf. on Control, Communication and Power Engineering-ACEEE. 253-255

Year : 2010

Reconstructing extracellular local field potential in cerebellar granular layer networks

Cite this Research Publication : H. Parasuraman, N. Abdulmanaph, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Reconstructing extracellular local field potential in cerebellar granular layer networks”, in Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, Changsha, 2010, pp. 1504-1509.

Publisher : Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, Changsha, p.1504-1509

Year : 2010

Modeling granular layer local field potential using single neuron and network based approaches to predict LTP/LTD in extracellular recordings

Cite this Research Publication : N. Abdulmanaph, Harilal Parasuraman, Dr. Bipin G. Nair, Dr. Shyam Diwakar, and , “Modeling granular layer local field potential using single neuron and network based approaches to predict LTP/LTD in extracellular recordings”, in Proceedings of Neurocomp (Lyon, France), 2010, Oct 6-8, 2010.

Publisher : Cinquième conférence plénière française de Neurosciences Computationnelles,'Neurocomp'10' .

Year : 2010

Action potential and bursting phenomena using analog electrical neuron

Cite this Research Publication : M. Parangan, Aravind, C., Parasuraman, H., Dr. Krishnashree Achuthan, Nair, B., and Dr. Shyam Diwakar, “Action potential and bursting phenomena using analog electrical neuron”, in Proceedings of the 1st Amrita ACM-W Celebration of Women in Computing in India, A2CWiC'10, Coimbatore, 2010

Publisher : A2CWiC'10

Book Chapter

Year : 2017

Computational Neuroscience of Timing, Plasticity and Function in Cerebellar Microcircuits

Cite this Research Publication : Diwakar S., Medini C., Nair M., Parasuram H., Vijayan A., Nair B. (2017) Computational Neuroscience of Timing, Plasticity and Function in Cerebellum Microcircuits. In: Érdi P., Sen Bhattacharya B., Cochran A. (eds) Computational Neurology and Psychiatry, Volume 6, Springer Series in Bio-/Neuroinformatics, pp 343-371, 02 Feb 2017. https://doi.org/10.1007/978-3-319-49959-8_12

Publisher : Springer

Poster

Year : 2014

Studying Cerebellar Dysfunction at Single Neuron and Circuit Level

Cite this Research Publication : Parasuram H., Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Studying cerebellar dysfunction at single neuron and circuit level”, in Proceedings of the International Conference on Recent Advances in Cognition and Health, Banaras Hindu University, Varanasi, India, 2014.

Publisher : Proceedings of the International Conference on Recent Advances in Cognition and Health, Banaras Hindu University, Varanasi, India .

Year : 2013

Studying Plasticity Effects in Cerebellum Granular Layer Micro Circuitry using local Field Potential Reconstruction

Cite this Research Publication : Harilal Parasuram, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Studying plasticity effects in cerebellum granular layer micro circuitry using local field potential reconstruction”, in Proceedings of International symposium on Neurosciences & XXXI Annual Conference of Indian Academy of Neurosciences, University of Allahabad, Allahabad, 2013.

Publisher : Proceedings of International symposium on Neurosciences & XXXI Annual Conference of Indian Academy of Neurosciences, University of Allahabad, Allahabad,.

Year : 2013

Implications of Algorithms on LFP Reconstruction in Cerebellar Granular Layer

Cite this Research Publication : Harilal Parasuram, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Implications of algorithms on LFP reconstruction in cerebellar granular layer”, in International Conference on Biotechnology for innovative applications, Amrita Vishwa Vidyapeetham, Kerala, 2013.

Publisher : International Conference on Biotechnology for innovative applications, Amrita Vishwa Vidyapeetham, Kerala.

Year : 2012

Constraining extracellular matrix by modeling local field potential

Cite this Research Publication : Parasuram H. and Dr. Shyam Diwakar, “Constraining extracellular matrix by modeling local field potential”, in INCF workshop - India, Nov. 5-7, 2012.

Publisher : INCF workshop, India .

Year : 2011

Using Detailed Biophysical Models to Reconstruct Cerebellar Post-synaptic Evoked Local Field potential reveals Single Neuron Effects in Population Code

Cite this Research Publication : Parasuram H., Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Using detailed biophysical models to reconstruct cerebellar post-synaptic evoked local field potential reveals single neuron effects in population code”, in Proceedings of the International symposium on `Recent Trends in Neurosciences & XXIX Annual Conference of Indian Academy of Neurosciences, Oct 30-Nov 1, 2011.

Publisher : Proceedings of the International symposium on `Recent Trends in Neurosciences & XXIX Annual Conference of Indian Academy of Neurosciences .

Year : 2011

Modeling Evoked local field Potentials in the Cerebellum Granular Layer and Plasticity Changes Reveal Single Neuron Effects in Neural Ensembles

Cite this Research Publication : Dr. Bipin G. Nair, Dr. Shyam Diwakar, Parasuram H., Medini C, Manjusha Nair, Nidheesh Melethadathil, Naldi G., and D’Angelo E., “Modeling evoked local field potentials in the cerebellum granular layer and plasticity changes reveal single neuron effects in neural ensembles”, in Acta Physiologica, 2011, Volume 203, Supplement 688 :P69

Publisher : Acta Physiologica

Professional Experience

Project Associate in the Neurophysiology and Simulation Virtual Lab project, under the National Mission on Education through ICT, funded by the Ministry for Human Resource Development, Government of India. His post-doctoral work focused on the innovative methods on “Quantification of epileptogenic network from Stereo EEG recordings using the Epileptogenicity Ranking method ”.

Reviewer
  • Frontiers in Human Neuroscience
  • Journal of Engineering in Medicine
  • Epilepsy & Behavior Reports
  • Biomedical and Pharmacology Journal (BPJ)
Master Thesis – Guided
  • 2023, Aiswarya Hari, NIT, Calicut – Comparing Epileptogenic Zone localization by SISCOM vs PISCOM – A retrospective cross-sectional study.
  • 2023, Aiswarya, M Tech, Amrita – Multi modal image integration for better localization of epileptogenic zone in epilepsy patients.
  • 2022, Manjiri Tambe, AACE – Localizing epileptogenic zone from SEEG in epilepsy surgery patient using spike and high frequency oscillations.
  • 2022,Athira, AACE – Studying correlation of hippocampal volume with histopathology and surgical outcome in patients who underwent anterior temporal lobectomy (ATL) along with amygdalohippocampectomy for TLE.
  • 2022, Nidhin CP and Aswin Raghu – Enhancing epileptogenic zone localization through machine learning and High-Frequency Oscillations – An Intracranial EEG based study
  • 2021, Arjun V, MCA – Localizing epileptogenic zone from spikes and high frequency oscillation’s using machine learning models in temporal lobe epilepsy.
  • 2021, Irfana Noushad, M.Tech,- Studying autonomic dysfunction in epilepsy patients using stereo EEG and ECG.
  • 2021, Nimisha K S, M.Sc. Neuro-electro-physio. – Localizing epileptogenic zone using spikes and High Frequency Oscillations.
  • 2020, Abhilash Saj George &Arjun VijayanathaKurup, MCA – Predicting Autonomic Dysfunction in Anxiety Disorder from ECG and Respiratory Signals Using Machine Learning Models
  • 2020, Rohith Devisetty, Amsitha MB &Sasi Jyothirmai, B. Tech- Localizing epileptogenic network from SEEG using h2 non-linear correlation, mutual information and graph theory analysis.
Research Interest
  • Epileptogenic zone localization using Stereo EEG, HD-EEG, electrical source localization, SISCOM, and Voxel Based Morphometry.
  • The application of Artificial Intelligence in medicine and the development of wearables and open-source tools.
  • Modeling and simulation of neuronal dynamics.
Advanced Courses & Training
  • BCD Stereo-EEG collaborative workshop at IISc, India, 7-8 October 2022
  • BESA research workshop, 09th – 13th May 2022
  • HD EEG and ESI training, University Hospital Geneva, 2019.
  • Computational Approaches to Memory and Plasticity – summer school (June 28th – July 12th, 2014), NCBS – India
  • 3rd Bangalore Cognition Workshop (Dec 8-21 2013), Indian Institute of Science
  • INCF workshop 2012, Indian Institute of Technology- Madras
  • INNNI summer course 2012, Indian Statistical Institute
  • International workshop on Brain and Cognition 2011, Indian Institute of Science
  • INNNI summer course 2011, National Brain Research Centre-India
Theoretical and Analytical tools

EPI-Rank – Quantification of epileptogenic network from Stereo EEG recordings using Epileptogenicity Ranking method

LFPsim – Modeling tool for computing electric potential of neurons and networks.

HHsim – Web based Hodgkin and Huxley model developed for MHRD Virtual Labs in Neurophysiology.

bspm – Utility MATLAB functions and wrappers for fMRI data analysis, mostly based in SPM12

EPI – graph: EPI-graph localizes the epileptogenic network from interictal SEEGs recorded from brain structures of epilepsy patients using connectivity and graph theory measures.

Funding

Grants and Funding

Dr. Harilal has been instrumental in securing grants such as the Seed grant for developing patient-specific, low-cost wearable gadgets for seizure detection and prediction in epilepsy patients.

Collaborations

  • Voxel Based Morphometry – Dr. Hans-Jürgen Huppertz, Swiss Epilepsy Clinic, Switzerland
  • MELD study – Dr. Konrad Wagstyl and Team, Wellcome Centre for Human Neuroimaging, University College London.
  • Intracranial-EEG monitoring, functional and behavioral mapping of cognition- Dr. Sridharan Devarajan, IISc, Bangalore.
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