Muthuraman, Muthuraman, Prof. Dr-Ing.
Neural Engineering with Signal Analytics and Artificial Intelligence (NESA-AI)
Universitätsklinikum Würzburg
Department of Neurology
Phone: +49 (0) 931 201 23011
Email: muthuraman_m@ukw.de
Academic education with degree(s)
2003 – 2005 Master of Science, Technical Faculty, University of Kiel
1998 – 2002 Bachelor of Engineering, University of Madras
Scientific degrees
2022 APL-Professor, Johannes Gutenberg University, Mainz
2015 Habilitation, Technical Faculty, University of Kiel (Prof. Günther Deuschl)
2010 PhD (Dr.-Ing.), Technical Faculty, University of Kiel (Prof. Ulrich Heute)
Academic positions
2016 – 2022 Assistant Professor, at Johannes Gutenberg University, Mainz
2013 – 2016 Senior Scientist, Christian Albrecht’s University, Kiel
2010 – 2013 Postdoctoral position, Christian Albrecht’s University, Kiel
2006 – 2010 Research Assistant, Christian Albrecht’s University, Kiel
Professional activities
Since 2022 Associate Editor in NPJ Parkinson Disease
Since 2022 Associate Editor in Brain Research
Since 2021 Associate Editor in Frontiers in Immunology
Since 2020 Associate Editor in Brain Sciences
Since 2019 Review Editor in Brain Topography
Since 2017 Associate Editor in Frontiers in Human Neuroscience
Since 2017 Associate Editor in Frontiers in Neurology
Since 2018 Associate Editor in Frontiers in Aging Neuroscience
Since 2011 Ad Hoc Reviewer for – Annals of Neurology, Acta Neurologica Scandinavica, Brain, Biomedical signal processing and control, Biological psychiatry, Brain topography, Cerebral cortex, Clinical neurophysiology, Frontiers in neurology, Giga science, Human brain mapping, iScience, Journal of neural engineering, Journal of neuroscience methods, Journal of Neurophysiology, Movement disorders, Nature scientific reports, Neuroimage, Neuroimage clinical, Neurorehabilitation, Plos one, Transactions in biomedical engineering, Transactions on neural systems and rehabilitaton.
Grants
2021 PI, Quantification of falls and rigidity and their interrelation to disease state and symptoms modulation through DBS (80,000 Euros) – Abbott – St. Jude.
2019 PI, Automatisierte Schlafstadien-Klassifizierung. (116,000 Euros) – WIPANO- Weiterentwicklung von Erfindungen.
2019 Co-PI, neurophysiological assessment of spinal cord. (110,000 Euros) –PROVOST-PhD award.
2019 Co-PI, Discovery of Novel Phenotypes of Amyotrophic Lateral Sclerosis based on Neurophysiological Measures of Network Dysfunction for Patient Stratification in Clinical Trials. (300,000 Euros) – ALS Association.
2019 PI, Topological patterns of damage and compensation in chronic neuroinflammation. (350,000 Euros) – German Research Foundation (CRC-TR-128).
2019 Co-PI, Network Impairment in ALS: Quantifying the Unquantifiable. (130,000 Euros) – Foundation Thierry Latran.
2019 Co-PI, Identification of brain structures and networks encoding pain, hyperalgesia, pain control and sympathetic function acutely after stroke. A voxel-based lesion-behaviour – network mapping study of acute stroke patients. (120,000 Euros) – German Research foundation
2018 Co-PI, Novel neurophysiological biomarkers of heterogeneous network degeneration in motor neuron disease for quantifying the progression and outcome in clinical trials (300,000 Euros) – HRB (Health research board of Ireland)-MRCG
2018 Co-PI, Source Analysis of Neuroelectric Signals (64,000 Euros) – University of Dublin
2017 PI, Bioactive phospholipids modulated inhibition in response to stress – a translational approach (273,000 Euros) – Boehringer Ingelheim
2017 Co-PI, Brain networks covariance in healthy aging and Parkinson’s disease (40,000 Euros) – Johannes Gutenberg University funds, Mainz
2017 PI, Optimizing the clinical rationale of directed lead deep brain stimulation through neural network analysis (53,000 Euros) – Boston Scientific.
2017 PI, Translational approach for optimisation of patterned STN-DBS from network analysis (99,000 Euros) – Abbott – St. Jude.
2016 PI, Electrophysiological biomarkers of the sensorimotor cortex for closed-loop stimulation in Parkinson’s disease (20,000 Euros) – Medtronic
2014 Co-PI, Zusammenhänge zwischen Sprachverständlichkeit, Sprechtaktverhalten und Gehirnaktivität bei Parkinson-Patienten (186,300 Euros) – German Research foundation (DFG).
2011 PI, Source analysis on simultaneously measured EEG and MEG signals of the brain in tremors and epileptic disorders (34,000 Euros) – Kiel state department.
2011 PI, Multimodal analysis of directional interactions in oscillatory networks of the brain (45,000 Euros) – DAAD.
Patents
2020 Vorrichtung und Verfahren zur Bestimmung einer Schlafapnoe “Kappe”, Patent number: DE 10 2019129288.3
2019 Detection of Sleep stages “Schlafstadien”, Patent number: DE 10 2019 107 666.8
2019 Motor Cortex Sensing Module “(MSCSM)” for Adaptive Bilateral Subthalamic Stimulation in Parkinson’s Disease, Patent number: U2000033
Spin-off
2020 Framework for Direct sleep stage analyses online and USB-dongle solutions
Awards
2020 Otto-Löwenstein-Forschungspreis, Federal Association for Rehabilitation
2019 Best poster Award, DGN Conference, Stuttgart
2019 Nominated for USERN prize 2019
2018 Editor’s paper of Choice June 2018 issue, Brain Journal
2017 Best Paper 2016 Award, Brain Topography Journal
2014 Best poster Award, DGKN Conference, Cologne
2011 Best poster Award, DGN Conference, Cologne
Membership
Since 2009 Member of IEEE, Engineering in medicine and biological society
Since 2014 Member of OHBM, Human Brain mapping organisation
Since 2016 Member of MDS, Movement disorder society
Scientific topics
2006 Mathematical methods for time series analysis and source analysis on oscillatory signals
2008 Function of oscillatory activity in central motor systems
2010 Biomedical statistics, connectivity analyses, multimodal signal processing and analyses of EEG, MEG, fMRI and EMG
2012 Structural and network analyses on anatomical MRI and DTI
2017 Functional network analyses on PET imaging
2017 Machine learning and deep learning
2018 Network analyses on proteomic and genomic data
2020 RNA, mRNA and Spatial transcriptomics
Research Collaborators
- Prof. Rodger J. Elble, Southern Illinois University School of Medicine, USA
- Dr. R. B. Govindan, Children’s National Health System, Washington, USA
- Prof. Vince Calhoun, The University of New Mexico, Albuquerque, USA
- Prof. Alfonso Fasano, Krembil Research Institute, Toronto, Canada
- Prof. Michael Breakspear, QIMR Berghofer, Brisbane, Australia
- Prof. Andrew Zalesky, University of Melbourne, Melbourne, Australia
- Prof. Alfons Schnitzler, Heinrich Heine University, Dusseldorf, Germany
- Prof. Dmitry Budker, Johannes Gutenberg University, Mainz, Germany
- Prof. Thomas P. Burg, Technical university of Darmstadt, Darmstadt, Germany
- Prof. Gertrud Tamas, Semmelweis University, Budapest, Hungary
- Dr. Lars Michels, University of Zurich, Zurich, Switzerland
- Prof. Stephane Perrey, University of Montpellier, Montpellier, France
- Prof. Bahman Nasseroleslami, Trinity College University, Dublin, Ireland
- Prof. Orla Hardiman, Trinity College University, Dublin, Ireland
- Prof. Peter Brown, University of Oxford, Oxford, UK
- Dr. Rick Helmich, Radboud University, Nijmegen, Netherlands
- Prof. Abdulnasir Hossen, Sultan Qaboos University, Muscat, Oman
Invited Colloquia
August 2021 DBS Think Tank (Florida)
“Electrophysiology and neuroimaging for optimal deep brain stimulation”
June 2021 Dublin Electrophysiology Research Clinic (Dublin)
“Functional and effective connectivity to understand neurological disorders”
May 2021 International Workshop on Research Paradigms (Bangalore)
“Basics on Research Methodology”
September 2020 ICDSB (Jodhpur)
“Structural and functional network characterization of neurological disorders patients”
September 2020 DBS Think Tank (Florida, Virtual)
“Structural and functional network characterization for prediction of DBS patients”
March 2019 DPG-Kongress (Düsseldorf)
“Targeted neuromodulation of tremor networks for a more efficient DBS outcome”
October 2018 DGN-Kongress (Köln)
“Oscillatory changes in movement disorder patients”
September 2018 Computational Workshop (Mainz)
“Machine learning and statistics”
March 2018 DGKN-Kongress (Berlin)
“Structural and functional characterisation of movement disorder patients”
May 2017 Rhine-Main Neuroimaging Retreat (Hohensolms)
“Functional connecitivity analyses”
April 2017 DGKN-Kongress (Leipzig)
“Cortical-subcortical involved networks in tremor forms using EEG-EMG coherence analyses”
November 2017 MDS Congress teaching course (Budapest)
“Functional investigation of tremor networks”
Educational Activities
Since 2021 Lecture – “Diagnosis-selected cases in the neurology”
[Teaching Evaluation: Magna cum Laude]
Since 2020 Lecture – “Electrophysiology and imaging in the neurology”
[Teaching Evaluation: Magna cum Laude]
Since 2020 Lecture – “REM sleep disorders”
[Teaching Evaluation: Magna cum Laude]
Since 2019 Lecture – “Medical signal processing-Frequency-domain analyses”
[Teaching Evaluation: Magna cum Laude]
Since 2019 Lecture – “Machine learning and Deep learning analyses”
[Teaching Evaluation: Magna cum Laude]
Since 2019 Lecture – “Electrophysiological tools in neurology”
[Teaching Evaluation: Magna cum Laude]
2018 Computational Workshop (1 day) “Machine learning and neuroimaging analyses”
[Teaching Evaluation: Magna cum Laude]
2017 EEG Workshop (4 days) “EEG analyses”
[Teaching Evaluation: Summa cum Laude]
2016 Invasive and non-invasive stimulation methods (2 days) “TMS –EEG analyses”
[Teaching Evaluation: Summa cum Laude]
Since 2015 SPM Workshop (4 days) “MRI connectivity analyses”
[Teaching Evaluation: Magna cum Laude]
Since 2010 Lecture – Medical signal processing (8 semesters) “Time frequency analyses”
[Teaching Evaluation: Magna cum Laude]
2006 – 2010 MATLAB course (5 semesters) “Basic to advance programming in MATLAB”
[Teaching Evaluation: Magna cum Laude]
Supervision for PhD Students
From 09/20 Dhanwin Baker
“Rapid Proteolytic Digestion (RaPiD) Method for Bottom-Up Proteomics”
From 09/19 Hao Ding
“Electrophysiology and imaging in Parkinson disease patients”
From 04/17 Manuel Bange
“Identification and characterization of functional networks targeted by deep brain stimulation in patients with Parkinson’s disease”
From 09/16 Angela Radetz
“Identification of distinct functional and structural connectivity patterns of network compensation and repair in early autoimmune neuroinflammation”
01/16 – 11/20 Alexander Weise
“Entwicklung, Etablierung und Validierung eines neuartigen, humanen DNA Macroarray Chips zur Testung von Nahrungsmittelunverträglichkeiten Nutrigenomik”
08/15 – 12/19 Moritz Eidens
“Entwicklung, Etablierung und Validierung eines neuartigen, humanen DNA Macroarray Chips zur Erkennung einer Dihydropyrimidin-Dehydrogenase (DPD) Defizienz”
04/15 – 12/19 Venkata Chaitanya Chirumamilla
“Longitudinal functional network dynamics in healthy subjects and patients with neurologic diseases”
01/15 – 07/19 Nabin Koirala
“Structural network characterization in patients with movement disorders”
01/12 – 06/16 Kidist Gebremariam Mideksa
“Source analysis on simultaneously measured magnetoencephalography and electroencephalography signals of the brain in tremors and epileptic disorders”
01/11 – 12/14 Abdul Rauf Anwar
“Multimodal Analysis of directional interactions in oscillatory networks of the brain”
Supervision for MD-PhD Students
2021 Hannah Kühne
“Resting state networks in Parkinson disease”
2021 Tabea Marquardt
“Studies of effective cerebral connectivity and hand motor function in patients with Parkinson’s disease and healthy subjects.”
2021 Nadine Lang
“Investigations of group classification by gait analysis in patients* with Parkinson’s disease, healthy persons of the same age and young healthy persons using a “machine learning” method.”
2021 Stefanie Scheiter
“Increased migraine-free interval with multifocal repetitive transcranial magnetic stimulation”
2021 Sebastian Malantantis-Ewert
“Arousal features on polysomnography predict excessive daytime
sleepiness in patients with obstructive sleep apnea”
2020 Karla Kerber
“Effects of the single nucleotide polymorphism R345T in plasticity-related gene 1 on pre-attentional filtering processes in the human brain”
2019 Marsha Hanif
“Respiratory arousals – Classification of obstructive sleep apnea (OSA) patients”
2019 Nasser Oudeh
“Respiratory arousals – Entropy and machine learning algorithms”
2018 Elena Schmitt
“Correlations between the severity of the obstructive sleep apnea (OSA) and the polysomnographic physiological signals- first night effect”
2018 Tamara Bonertz
“TMS-EEG measurements to characterize neuronal excitability in the prefrontal cortex under pain conditioning”
2018 Sanja Fassnacht
“Testing of the Support Vector Machine (SVM) algorithm for the classification of sleep stages in patients with rhonchopathy (with / without obstructive sleep apnea) – first night effect”
2017 Philipp Tjarko Boekstegers
“Support Vector Machines – Differentiation of sleep stages using physiological signals”
2017 Ali Abriani
“Classification of the severity of nocturnal respiratory impairment in patients with rhonchopathy using physiological signals, with particular attention to EEG entropy”
Supervision for Master theses
2021 Loren Keshta
“Extracting gang patterns in Parkinson’s disease”
2020 Mohammad Saleh Oshaghi
“RNA, mRNA and Spatial Transcriptomics”
2015 Usman Jawed
“Topological and temporal analyses of network architecture in patients with Parkinsons disease”
2015 Xiong Longfei
“Entropy and directionality analysis on EEG recording while driving a car”
2015 Alexander Wutzke
“Cross-frequency coupling analysis on movement disorder patients”
2015 Tauqeer Anjum
“Functional and effective brain connectivity analysis using resting state functional magnetic resonance imaging data”
2014 Saurabh Kumar
“Dipole simulations with different phasic oscillatory signals”
2014 Sven Jaschke
“Signal analyses on EEG recorded during driving a car”
2014 Ahmet Emre Taser
“Detecting differences in ON and OFF condition during deep brain stimulation using EEG”
2014 Praghajieeth Raajhen Santhana Gopalan
“EEG and MEG source analysis using a time domain beamforming approach”
2014 Nabin Koirala
“Structural brain connectivity using diffusion tensor imaging”
2014 Venkata Chaitanya Chirumamilla
“Analyzing structural brain morphometry changes using voxel based morphometry”
2012 Pradeep Kuravi
“Correlation analysis on ensemble neuronal spike data”
2011 Asad Khan
“Realistic head modelling for EEG source analysis”
2011 Kidist Gebremariam Mideksa
“Simultaneous MEG and EEG signal analysis”
2010 Abdul Rauf Anwar
“Partial directed coherence between EEG and EMG in tremor”
Supervision for Bachelor Theses
2020 Vladi Kruk
“Deep learning for prediction of disease progression in PD patients”
2020 Mohammad Saleh Oshaghi
“Differenzielles, alternatives Spleißen des Transkriptoms des krebsresistenten und hypoxietoleranten Blindmulls Nannospalax galili im Vergleich zur Ratte”
2011 Marco Klein
“EEG signal analysis from DBS Parkinsonian patients”
2010 Martin Nahrwold
“Exploring EEG data of patients with short term memory”
Muthuraman Muthuraman 