Mahmoud Hassan

I am working in the fields of data science, bio-signal processing and biomedical engineering. Our team focuses on the development of electroencephalography (EEG) signal processing methods for brain network imaging.

My ‘dream’ is to see our EEG signal processing methods as diagnostic tools in many brain disorders, such as the early detection of cognitive decline in degenerative diseases.

 

Laboratory of signal and Image Processing (LTSI), campus de Beaulieu – Bât. 22 , 35042 Rennes Cedex, France.
E-mail: mahmoud.hassan@univ-rennes1.fr

Publications

2018

Paban V., Modolo J., Mheich A., Hassan M., Psychological resilience correlates with EEG source-space brain network flexibility, Network Neuroscience, accepted, 2018. Rizkallah J, Annen J, Modolo J, Gosseries O, Benquet P, Mortaheb S, Amoud H, Cassol H, Mheich A, Thibaut A, Chatelle C, Hassan M, Panda R, Wendling F, Laureys L, Decreased integration of EEG source-space  networks in disorders of consciousness, submitted, 2018. Modolo J., Hassan M., Ruffini G., Legros A., Probing the circuits of conscious perception with magnetophosphenes, submitted, 2018. Hassan M., Wendling F., Electroencephalography source connectivity: Aiming for High Resolution of Brain Networks in Time and Space, IEEE Signal Processing Magazine, Vol. 35, issue 3, pages: 81-96, 2018 Kabbara A., Eid H., El Falou W., Khalil M., Wendling F., Hassan M., Reduced integration and improved segragation of functional brain networks in Alzheimer’s disease, Journal of Neural Engineering, 2018. Rizkallah J., Hassan M., Kabbara A., Dufor O., Benquet P., Wendling F., Dynamic reshaping of functional brain networks during visual object recognition, Journal of Neural Engineering, 2018.

2017

Mheich A., Hassan M., Khalil M., Gripon V., Dufor O. and Wendling F., SimiNet: A Novel Method for Quantifying Brain Network Similarity, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017. Kabbara A., El Falou W., Khalil M., Wendling F., Hassan M., The dynamic functional core network of the human brain at rest, Scientific Reports, 2017. Hassan M., Merlet I., Mheich A., Kabbara A., Biraben A., Nica A., Wendling F., Identification of interictal epileptogenic networks from dense-EEG, Brain Topography, 1-17, 2017. Hassan M., Chaton L., Benquet P., Delval A., Leroy C., Plomhause L., Moonen A.J.H., Duits A.A., Leentjens A.F.G., van Kranen-Mastenbroek V., Defebvre L., Derambure P., Wendling F., Dujardin K., Functional connectivity disruptions correlate with cognitive phenotypes in Parkinson’s disease, NeuroImage: Clinical, vol. 14, 591-601, 2017. Harrach M AL., Boudaoud S., Hassan M., Ayachi FS., Gamet D., Grosset JF., Marin F., «Denoising of HD-sEMG signals using canonical correlation analysis », Medical Biological Engineering Computing, pp 1-14, 201, (2017).

<2016

Kabbara A., Khalil M., El Falou W., Hassan M., Improving the P300-speller performance using brain functional connectivity, PLoS ONE, 11(1): e0146282., 2016. Hassan M., Benquet P., Biraben A., Berrou C., Dufor O., Wendling F., Dynamic reorganization of functional brain networks during picture naming, Cortex, 73: 276-288, 2015. Hassan M., Shamas M., Khalil M., El Falou W., Wendling F., EEGNET: An open source tool for analyzing and visualizing M/EEG connectome, PLoS ONE, 10(9): e0138297, 2015. Mheich A., Hassan M., Khalil M., Berrou C., Wendling F., A new algorithm for spatiotemporal analysis of brain functional connectivity, Journal of Neuroscience Methods, 242, 77–81, 2015. Hassan M., Wendling F., Tracking dynamics of functional brain networks using dense EEG, IRBM, Volume 36, Issue 6, Pages 324–328, 2015. Hassan M., Dufor O., Merlet I., Berrou C., Wendling F., EEG source connectivity analysis: from dense array recordings to brain networks, PLoS ONE, 9(8): e105041, 2014. Diab A., Hassan M., Karlsson B., Marque C., Performance analysis of four nonlinearity analysis methods using a model with variable complexity and application to uterine EMG signals, Medical Engineering & Physics, 36 (6), pp.761-7, 2014. Hassan M., Terrien J., Muszynski C., Alexandersson A., Marque C., Karlsson B., Better pregnancy monitoring using nonlinear propagation analysis of external uterine electromyography, IEEE Transactions on Biomedical Engineering, Vol. 60, NO. 4., 2013. Diab A., Hassan M., Karlsson B., Marque C., Effect of decimation on the classification rate of nonlinear analysis methods applied to uterine EMG signals, IRBM, Volume 34, Issues 4–5, November, Pages 326-329, (2013). Chkeir A., Fleury M.-J., Karlsson B., Hassan M., Marque C., Patterns of electrical activity synchronization in the pregnant rat uterus, BioMedicine, 3(3): 140-144, (2013). Hassan M., Gudnason J., Karlsson B., Marque C., Improved detection of nonlinearity in nonstationary signals by Piecewise Stationary Segmentation», International Journal of Bioelectromagnetism, Vol. 14, No. 4, pp. 223 – 228, (2012). Hassan M., Boudaoud S., Terrien J., Karlsson B., Marque C. Combination of Canonical Correlation Analysis and Empirical Mode Decomposition applied to denoising the labor Electrohysterogram, IEEE Transactions on Biomedical Engineering, 58 (9), 2441 – 2447, 2011. Hassan M., Terrien J., Karlsson B., Marque C. Interactions between uterine EMG at different sites investigated using wavelet analysis: comparison of pregnancy and labor contractions, EURASIP Journal on Advances in Signal Processing, Volume 2010, 2010.

Ahmad Mheich Postdoctoral Researcher

Research: Functional networks, brain network similarity

MSc (2013) : Graph-based analysis of brain connectivity during picture naming task

PhD (2013-2016) : Brain Network Similarity

Sahar Yassine Software Engineer

Research: Brain signal processing, software development 

MSc (2017): Graph theoretical analysis of brain network communication

Aya Kabbara Postdoctoral researcher

Research: M/EEG source-space connectivity, brain disorders, brain network dynamics

MSc (2015):

PhD (2015-2018): Estimation of brain networks from dense-EEG: application to neurological diseases

Jennifer Rizkallah

PhD student

Research: Dynamic brain networks, disorders of consciousness

MSc (2016) : Dynamic reshaping of functional brain networks during visual objects recognition

PhD (2016-2019): Characterization of neocortical networks from high-resolution EEG: application to disorders of consciousness

Judie Tabbal PhD student

Research: M/EEG brain networks, degenerative diseases

MSc (2018):

PhD (2018-2021): Detecting dysfunctional connectivity of brain networks in the context of neurological disorders

EEGNET

An Open Source Tool for Analyzing and Visualizing M/EEG Connectome

  • Compute functional connectivity
  • Scalp and source -space networks
  • Network measures
  • 2D / 3D visualization

Coming soon…

  • Group analysis
  • Brain network dynamics
  • Statistical tests
  • Ready-to-publish figures