I received my PhD in biotechnology, instrumentation, signal and image for biology, medicine and the environment in December, 2016 at the Grenoble Institut des Neurosciences, University of Grenoble-Alpes, in France. My background is in biomedical engineering with a strong interest in the analysis of brain magnetic resonance imaging. My PhD project focused on the application of graph theory to study brain functional connectivity using resting state fMRI (rs-fMRI) with several purposes: to test the reproducibility of the brain graphs, to study the reorganization of the brain after a stroke and to assess the effect of stem cells based therapies in stroke. In addition to this main research, I have also been involved in the application of several computational methods and machine learning techniques to perform variable selection, reduce data dimensionality and classify between diseased patients, such as Alzheimer disease, bipolar disorder or cocaine addicted people and healthy subjects.

The results of my studies has been published in high-impact journals in the field of neuroscience and computer science, including 10 papers published in International journals (6 as first author, 4 of them at Q1) and presented in a series of international scientific conferences (8 book chapters and 5 posters). My research activity has been carried out between Spain and France. I have collaborated and co-authored with several researchers from different countries such as Spain, France, UK, Finland and USA, and I have participated in several national and European research projects during my working experience in research institutions such as VICOMTech and ACCIONA INFRAESTRUCTURAS I+D.

I have been involved in the organization committee of international conferences, in scientific disclosure events and participated as a reviewer of international journals in computer science and signal processing. I obtained the student best paper award in Bioinspired Application at International Work-conference on the Interplay between Natural and Artificial Computation in 2011, and I have received several grants from national and international institutions to complete my engineering formation (Leonardo DaVinci program, Spain) and research formation (Fundacion Inaki Goenaga, Spain and ARC Region Rhône-Alpes, France).

Education

Dec 2016: PhD in Medical, Cognition and Environment Engineering. Grenoble Institut des Neuroscience, University of Grenoble, France.

Dec 2012: Postgraduate in Biomedical Engineering. Universitat Politècnica de Catalunya (UPC), Spain.

Nov 2007: Master of Advanced Studies in Computational Intelligence. University of Basque Country (UPV/EHU), Spain.

Sep 2004: Industrial Electronics and Automation Engineering. University of Deusto (UD), Bilbao, Spain.

Sep 2002: Industrial Technical Engineering, with a specialism in Industrial Electronics. University of Deusto (UD), Bilbao, Spain.

Work Experience

2017: Postdoctoral Researcher, University hospital of Grenoble, CHU Grenoble.

• Topic: Graph based biomarkers of functional recovery in stroke patients.
• Main Areas: resting state fMRI preprocessing, graph theory, stroke.
• Skills: Matlab, SPM, R.
• Supervisors: MD. Dr. Assia JAILLARD.

2013 - 2016: Doctoral Researcher, Grenoble Institut des Neuroscience (France)

• Topic: Functional connectivity in resting state MRI. Graph analysis. New biomarkers of functional recovery in stroke patients.
• Main Areas: resting state fMRI preprocessing, graph theory, machine learning algorithms for brain connectivity.
• Skills: Matlab, SPM, R, latex.
• Supervisors: Dr. Chantal DELON-MARTIN, MD. Dr. Assia JAILLARD, Dr. Sophie ACHARD.
• Publications: 2 journals and 5 posters in international conferences.

2013: Predoctoral internship (3 months), GIPSA-lab, Grenoble-INP (France).

• Topic: Binary partition trees applied to MRI segmentation.
• Supervisor: Prof. Jocelyn CHANUSSOT.

2010 – 2013: Research assistant, Computational Intelligence group, Basque Country University (UPV/EHU) (Spain).

• Topic: Computer aided diagnosis tools applying machine learning algorithms to brain magnetic resonance imaging.
• Main Areas: Image analysis, machine learning algorithms for pattern recognition, computer graphics, visualization, medical applications.
• Skills: Matlab, FSL, SPM, ANTS, lyx, latex.
• Supervisor: Prof. Manuel GRAÑA.
• Publications: 6 journals and 7 papers in international conferences.

2007 – 2010: Software Engineer at R&D department, SEDECAL, Algete, Spain.

• Sector: Original Equipment Manufacturer design and manufacturing of high frequency X-Ray generators and X-Ray systems.
• Responsibilities: Person in charge of the software of digital veterinary systems: user interfaces programming, CAN communication and Windows messaging (VB6), test and startup of equipment and installations. Training and support to technical service department.

2006 – 2007: IT Engineer at R&D department: ACCIONA INFRAESTRUCTURAS – Madrid, Spain.

• Sector: Construction company leader in implementing the most advanced and innovative construction techniques.
• Responsibilities: Management of National and European R&D projects in home automation, sensor networks and RFID technology.

2005 – 2006: R&D Software Engineer. VICOMTech – San Sebastián, Spain.

• Sector: Applied research center for Interactive Computer Graphics and Multimedia.
• Responsibilities: Design and programming in AutoCAD. Research on semantic aspects on the field of computational assisted design (VB6, C++ ARX).
• Publications: 2 publications in international conferences.

Publications

2017:

• S. E. Morgan, S. Achard, M. Termenon, E. T. Bullmore, and P. E. Vertes. “Low dimensional morphospace of topological motifs in human fMRI brain networks”. Network Neuroscience (submitted).
• S. E. Morgan, S. Achard, M. Termenon, E. T. Bullmore, and P. E. Vertes. “Low dimensional morphospace of topological motifs in human fMRI brain networks”. International School and Conference on Network Science (NetSci) 2017, Indianapolis (oral presentation).
• M. Termenon, A. Jaillard, C. Delon-Martin , S. Achard. “'Hub Disruption Index' (Kappa), un index sensible à la réorganisation des réseaux cérébraux”. SFRMBM, Bordeaux (poster session).

2016:

• M. Termenon, A. Jaillard, C. Delon-Martin, S. Achard. “Reliability of graph analysis of resting state fMRI using test-retest dataset from the Human Connectome Project”. Neuroimage, vol. 142, pp. 172 – 187, 2016.
• M. Termenon, A. Jaillard, S. Achard, C. Delon-Martin. “Graph based hub disruption index captures reorganization of contralesional hemisphere in stroke patients”. Frontiers in Computational Neuroscience, vol. 10, pp. 84, 2016.
• M. Termenon, M. Graña, A. Savio, A. Akusok, Y. Miche, K.-M. Björk, and A. Lendasse. “Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification”. Neurocomputing, vol. 174, Part A, pp. 344–351, Jan. 2016.

2015:

• Y. Miche, A. Akusok, D. Veganzones, K.-M. Björk, E. Séverin, P. du Jardin, M. Termenon, and A. Lendasse. “SOM-ELM—Self-Organized Clustering using ELM”. Neurocomputing, vol. 165, pp. 238 –254, Oct. 2015.
• M. Termenon, A. Jaillard, S. Achard, C. Delon-Martin. “Spécialisation hémisphérique chez les hommes et les femmes : Représentation de la connectivité cérébrale par la méthode des graphes en IRM fonctionnelle de repos.” SFRMBM, Grenoble (oral communication).

2014:

• M. Termenon, A. Jaillard Hommel, S. Achard, C. Delon-Martin. “Hemispheric specialization in men and women using graph theory: a resting-state functional connectivity MRI study in highly educated healthy adults”. Fourth Biennial Conference on Resting State / Brain Connectivity (poster session).
• M. Termenon, A. Jaillard Hommel, S. Achard, F. Renard, C. Delon-Martin. “Is homotopic intramural connectivity related to cytoarchitectonic cortical classification? ". 20th Annual Meeting of the Organization for Human Brain Mapping (poster session).
• F. Renard, C. Rimkus, M. Termenon, Assia Jaillard Hommel, ISIS Hermes group. “Contralateral corticospinal tract integrity correlates with NIH Stroke Score: a stroke DTI study”. 20th Annual Meeting of the Organization for Human Brain Mapping (poster session).

2013:

• M. Termenon, M. Graña, A. Besga, J. Echeveste, J. M. Pérez, and A. Gonzalez-Pinto. “Diagnosis of Bipolar Disorder Based on Principal Component Analysis and SVM” in Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Eds. Springer International Publishing, 2013, pp. 569–578.
• M. Termenon, D. Chyzhyk, M. Graña, A. Barros-Loscertales, and C. Avila. “Cocaine Dependent Classification on MRI Data Extracting Features from Voxel Based Morphometry” in Natural and Artificial Computation in Engineering and Medical Applications. Eds. Springer Berlin Heidelberg, 2013, pp. 140–148.
• M. Termenon, E. Fernández, M. Graña, A. Barrós-Loscertales, J. C. Bustamante, and C. Ávila. “Impact of Circularity Analysis on Classification Results: A Case Study in the Detection of Cocaine Addiction Using Structural MRI” in Advanced Techniques for Knowledge Engineering and Innovative Applications. Eds. Springer Berlin Heidelberg, 2013, pp. 101–114.
• M. Termenon, M. Graña, A. Barrós-Loscertales, and C. Ávila. “Extreme Learning Machines for Feature Selection and Classification of Cocaine Dependent Patients on Structural MRI Data”. Neural Process Lett, vol. 38, no. 3, pp. 375–387, Jan. 2013.

2012:

• M. Termenon, M. Graña, A. Besga, J. Echeveste, and A. Gonzalez-Pinto. “Lattice independent component analysis feature selection on diffusion weighted imaging for Alzheimer’s disease classification”. Neurocomputing, vol. 114, pp. 132–141, Aug. 2013.
• A. Besga, M. Termenon, M. Graña, J. Echeveste, J. M. Pérez, and A. Gonzalez-Pinto. “Discovering Alzheimer’s disease and bipolar disorder white matter effects building computer aided diagnostic systems on brain diffusion tensor imaging features”. Neuroscience Letters, vol. 520, no. 1, pp. 71–76, Jun. 2012.
• M. Termenon, M. Graña, A. Barrós-Loscertales, J. Bustamante, and C. Ávila. “Cocaine Dependent Classification Using Brain Magnetic Resonance Imaging” in Hybrid Artificial Intelligent Systems, vol. 7209. Eds. Springer Berlin / Heidelberg, 2012, pp. 448–454.

2011:

• M. Graña, M. Termenon, A. Savio, A. Gonzalez-Pinto, J. Echeveste, J. M. Pérez, and A. Besga. “Computer aided diagnosis system for Alzheimer disease using brain diffusion tensor imaging features selected by Pearson’s correlation”. Neurosci. Lett., vol. 502, no. 3, pp. 225–229, Sep. 2011.
• M. Termenon, A. Besga, J. Echeveste, A. Gonzalez-Pinto, and M. Graña. “Alzheimer Disease Classification on Diffusion Weighted Imaging Features” in New Challenges on Bioinspired Applications, J. M. Ferrández, J. R. Á. Sánchez, F. de la Paz, and F. J. Toledo, Eds. Springer Berlin Heidelberg, 2011, pp. 120–127.
• M. Termenon and M. Graña. “Further Results on Alzheimer Disease Detection on Structural MRI Features” in Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011, vol. 87. Eds. Springer Berlin/Heidelberg, 2011, pp. 515–522.
• M. Termenon and M. Graña. “A Two Stage Sequential Ensemble Applied to the Classification of Alzheimer’s Disease Based on MRI Features”. Neural Process Lett, vol. 35, no. 1, pp. 1–12, Oct. 2011.

2010:

• A. Savio, J. Charpentier, M. Termenon, A. K. Shinn, and M. Graña. “Neural classifiers for schizophrenia diagnostic support on diffusion imaging data”. Neural Network World, vol. 20, pp. 935–949, 2010.
• D. Chyzyk, M. Termenon, and A. Savio. “A Comparison of VBM Results by SPM, ICA and LICA” in Hybrid Artificial Intelligence Systems. Eds. Springer Berlin Heidelberg, 2010, pp. 429–435.

2007:

• C. Toro, M. Termenón, J. Posada, J. Oyarzun, and J. Falcón. “Ontology Supported Adaptive User Interfaces for Structural CAD Design” in Digital Enterprise Technology, Eds. Boston, MA: Springer US, pp. 283–290.

2006:

• C. Toro, J. Posada, M. Termenón, J. Oyarzun, and J. Falcón, “Knowledge Based Tools to Support the Structural Design Process,” in Knowledge-Based Intelligent Information and Engineering Systems, vol. 4251. Eds. Springer Berlin Heidelberg, 2006, pp. 679–686.

Teaching and scientific divulgation

• Invited talk, “Reliability of graph based analysis of functional connectivity in rs-fMRI. Towards new biomarkers of recovery in Stroke” at BCBL, March 2017.
• “2nd Brain connectivity course”. Grenoble Institut des Neuroscience, France, 2015.
  • Talk: “Brain graph connectivity computation: Theory and training”
• “How to perform a Voxel Based Morphometry analysis”. Internal seminar at the Computational Intelligence group, UPV/EHU, Spain.
• Class in Artificial perception in Master in computational engineering and intelligent systems (3h), Computer science faculty, UPV/EHU, Spain.
• Local organizing committee member of the 16th International Conference in Knowledge-Based and Intelligent Information & Engineering Systems in San Sebastian (Spain). September 10-12th, 2012.
• Local organizing committee member of the 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) in San Sebastian (Spain). June 23rd-25th, 2010.
• X – XI – XII - Science, Technology and Innovation week, Donostia-San Sebastián, 2010-2013.

Grants & Awards

• Grant: Predoctoral Internship from Communautés de recherche academique - Rhône Alpes. (3 years)
  • Application center: Grenoble Institut des Neuroscience, Grenoble, France.
• Award: José Mira Student best paper in Bioinspired Applications, IWINAC, 2011.
• Grant: Internship from Iñaki Goenaga - Basque Government researching grant, 2005. (1 year)
  • Application center: VICOMTech, San Sebastián, Spain.
• Grant: Internship from Leonardo Da Vinci Program, 2004. (6 months)
  • Application center: BALDOR UK, Bristol, UK.

Courses and seminars

• “2nd Brain connectivity course”. Grenoble Institut des Neuroscience, France, 2015 (1 week).
  • Topics: Image preprocessing, seed-based Functional Connectivity (Conn Toolbox), graph theory (Brainwaver).
• “CONNECTOMICS: the wiring diagram of the human brain I“. Summer school at University of Bordeaux, France, 2014 (1 week).
• “An Introduction to Interactive Programming in Python”. Rice University, 2013 (Coursera).
• “Brain connectivity course”. Grenoble Institut des Neuroscience, France, 2013 (1 week).
  • Topics: Dynamic Causal Modeling (DCM), Psycho-Physiological Interactions (PPI), Seed-based Functional Connectivity (Conn), Independent Component Analysis (GIFT), Graph Theory (Brainwaver).
• “Machine Learning”. Standford University, 2011 (Coursera).
• “Introduction to Artificial Intelligence”. Standford University, 2011 (Coursera).
• “International Summer Course on Medical Imaging using Bio-inspired and Soft Computing”. European Centre of Soft Computing, Spain, 2011 (1 week).
• “Statistical Parametric Mapping”. University of Zürich, Switzerland, 2011 (3 days).

Other skills

• Grade in Psychology, National Distance Education University (UNED), Spain. Started 2012.
• Programming languages: Visual Basic, C/C++, Python.
• Operating systems: Linux, iOS, Windows.
• Languages: Spanish (native), English (professional), Basque (intermediate), French (intermediate).