Personal tools



  1. T. Tsanas, K. Saunder, A. Bilderbeck, N. Palmius, G. Goodwin, M. De Vos. Clinical insight into latent variables of psychiatric questionnaires for mood symptom self-assessment. JMIR Mental health 2017, 4(2), e15.
  2. A. Dereymaeker, K. Pillay, J Vervisch, G. Naulaers, K. Jansen, S. Van Huffel, M. De Vos. An automated quiet Sleep detection in premature infants as a gateway to assess brain maturation. International Journal of Neural Systems 2017, 1750023.
  3. N. Palmius, A. Tsanas, K. Saunders, A. C. Bilderbeck, J. R. Geddes, G. M. Goodwin, M. De Vos Detecting bipolar depression from geographic location data.  IEEE TBME, 2017, 64 (8), 1761-1771.


  1. R. Zink, B. Hunyadi, S. Van Huffel, M. De Vos. Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks. Journal of neural engineering, 13(4). 046017. 2016
  2. E. Naydenova, A. Tsanas, S. Howie, C. Casals-Pascual, M. De Vos. The power of data mining in diagnosis of childhood pneumonia. Journal of the Royal Society Interface 13 (120). 2016
  3. A. Tsanas, K.E.A. Saunders, A.C. Bilderbeck, N. Palmius, M. Osipov, G.D. Clifford, G.Μ. Goodwin, M. De Vos.. Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder. Journal of Affective Disorders, 205, 225-233. 2016
  4. R. Zink, B. Hunyadi, S. Van Huffel, M. De Vos. Tensor-Based Classification of Auditory Mobile BCI without Subject-Specific Calibration Phase. J of neural engineering. 13(2). 026005. 2016.
  5. B. Mirkovic, M Bleicher, M. De Vos, S. Debener. Target Speaker Detection with Concealed EEG around the ear.  Frontiers in Human Neuroscience 10, 2016.
  6. A. H. Ansari, P. J. Cherian A. Dereymaeker, V. Matic, K. Jansen, L. De Wispelaere, C. Dielman, 
    J. Vervisch, R.M. Swarte, P. Govaert, G. Naulaers, M. De Vos, S. Van Huffel. Improved multistage neonatal seizure detection using a heuristic classifier and a data-driven post-processor. Clinical Neurophysiology, 127, 3014-3024, 2016.
  7. A. Dereymaeker, N. Koolen, K. Jansen, J. Vervisch, E. Ortibus, M. De Vos, S. Van Huffel,  G. Naulaers. The Suppression Curve as a quantitative approach for measuring brain maturation in preterm infants.   Clinical Neurophysiology 127, 2760-2765. 2016.
  8. P. Mijović, V. Ković, M. De Vos, I. Mačužić, B. Jeremić, I. Gligorijević Benefits of Instructed Responding in Manual Assembly Tasks: An ERP Approach. Frontiers in human Neuroscience 10. 2016
  9. N. Koolen ,A. Dereymaeker O. Räsänen, K. Jansen, J. Vervisch, V. Matic, G. Naulaers, M. De Vos, S. Van Huffel, S. Vanhatalo. Early development of synchrony in cortical activations in the human. Neuroscience. 322, 298-307. 2016
  10. P. Mijovic, M. De Vos, I Gligorijevic. Towards Continuous and Real-Time Attention Monitoring at Work: Reaction Time versus Brain Response. Ergonomics 60, 241-254. 2016.
  11. V. Matic, P.J Cherian, K. Jansen, N. Koolen, G. Naulaers, R.M. Swarte, P. Govaert, S. Van Huffel, M. De Vos. Improving reliability of monitoring background EEG dynamics in asphyxiated infants. IEEE Trans Biomedical Engineering 63, 973-983. 2016.


  1. S. Debener, R. Emkes, M. De Vos, M. Bleichner. Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear. Scientific Reports 5, nr 16743, 2015.
  2. B. Mirkovic, S. Debener, M. Jaeger, M. De Vos. Decoding the attended speech stream with multi-channel EEG: implications for online, daily-life applications. Journal of Neural Engineering 12(4): 046007. 2015
  3. C. Zich, S. Debener, C. Kranczioch, M.G. Bleichner, I. Gutberlet, M. De Vos. Real-time EEG feedback during simultaneous fMRI identifies the cortical signature of motor imagery. 2015, Neuroimage. 14, pp. 438-47.
  4. M. Stropahl. K. Plotz, R. Schönfeld, T. Lenarz, P. Sandmann, G. Yovel,  M. De Vos, Stefan Debener Cross-modal reorganization in cochlear implant users: auditory cortex contributes to visual face processing. 2015. Neuroimage 121, pp. 159-70
  5. C. Zich, S. Debener, M. De Vos, S. Frerichs; S. Maurer; C. Kranczioch. Lateralization patterns of covert but not overt movements change with age: An EEG neurofeedback study. 2015 Neuroimage 116, pp 80-91.
  6. Y. Liu,  M. De Vos and S. Van Huffel. Compressive Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization, 2015. IEEE Trans Biomedical Engineering. 62 (8), pp. 2055-2061.
  7. M.G. Bleichner, M. Lundbeck, M. Selisky, F. Minow, M. Hagen, R. Emkes, S. Debener and M. De Vos. Exploring miniaturized EEG electrodes for brain-computer interfaces.  An EEG you do not see? 2015. Physiologic Reports, 3(4), e12362.
  8. V. Matic, PJ Cherian, N. Koolen, AH Ansari, G. Naulaers, P  Govaert, S Van Huffel, M. De Vos, S. Vanhatalo. Objective differentation of neonatal EEG background grades using detrended fluctuation analysis. 2015, Frontiers in human neuroscience 9: 189.
  9. B. Hunyadi, S. Tousseyn, P. Dupont, S. Van Huffel, M. De Vos, W. Van Paesschen. A prospective fMRI-based technique for localising the epileptogenic zone in presurgical evaluation of epilepsy. Neuroimage, 2015, 113, pp. 329-339.


  1. V. Matic, P.J Cherian, K. Jansen, N. Koolen, G. Naulaers, R.M. Swarte, P. Govaert, S. Van Huffel, M. De Vos. Holistic Approach for Automated Background EEG Assessment in full-term newborns with HIE. Journal of Neural Engineering. 2014 vol. 11(6):066007.
  2. N. Koolen, A. Dereymaeker, O Räsänen, K Jansen, J Vervisch, V Matic, M. De Vos, S Van Huffel, G Naulaers, S Vanhatalo.  Interhemispheric synchrony in the neonatal EEG revisited: Activation Synchrony Index as a promising classifier. 2014. Front. Human Neuroscience, 8:1030.
  3. C. Zich, M. De Vos, C. Kranczioch, S. Debener. Wireless EEG with individualized channel layout enables efficient motor imagery training. Clinical Neurophysiology. 2015 vol. 126, pp. 698-710.
  4. B. Hunyadi, D. Camps, L. Sorber, W. Van Paesschen, M. De Vos, S. Van Huffel, L. De Lathauwer. Block term decomposition for modeling epileptic seizures. EURASIP Journal in advances in Signal Processing. 2014 , 139, 10.1186.
  5. G. Strobbe, P. van Mierlo, M. De Vos, B. Mijovic, H. Hallez, S. Van Huffel, J. David Lopez, S. Vandenberghe. Volumetric sparse priors for distributed EEG source reconstruction. Neuroimage 2014 vol. 100, pp. 715-24.
  6. I. Gligorijevic, B. Sleutjes, M. De Vos, J.H. Blok, I. Montfoort, B. Mijović, M. Signoretto and S. Van Huffel, Correcting electrode displacement errors in motor unit tracking using high density surface electromyography (HDsEMG), Methods of information in medicine, 2014 vol. 54, 1.
  7. P. Sandmann, K. Plotz, N. Hauthal, M. De Vos, R. Schönfeld, S. Debener. Elderly CI recipients show rapid changes in the bilateral auditory cortex. Clinical Neurophysiology. 2015, vol. 126, pp. 594-607.
  8. M. De Vos, M. Kroesen, R. Emkes, S. Debener. P300 spelling with a small, wireless and mobile EEG amplifier: comparing performance to a traditional lab amplifier. Journal of Neural Engineering 2014, 11, 036008.
  9. N. Koolen, K. Jansen, J. Vervisch, V. Matic, M. De Vos, G. Naulaers and S. Van Huffel. Line Length: Robust Feature to detect high-activity events: Automatic burst detection in Premature EEG recordings. Clinical Neurophysiology 2014, in press.
  10. M. De Vos, K. Gandras, S. Debener. Towards a truly mobile auditory brain-computer interface: Exploring the P300 to take away. International Journal of Psyhophysiology 2014, vol. 91, pp. 46-53.
  11. M. De Vos and S. Debener. Mobile EEG: Towards brain activity monitoring during natural action and cognition.  Int. J. of Psychophysiology 2014. Editorial special issue, vol. 91, pp. 1-2.
  12. B. Mijovic, M. De Vos, K. Vanderperren, B. Machilsen, S. Sunaert, S. Van Huffel and J. Wagemans. The dynamics of contour integration: A simultaneous EEG-fMRI study. Neuroimage 2014, Mar;88:10-21.
  13. J. Janson, M. De Vos, J.D. Thorne and C. Kranczioch. Endogenous and RSVP-induced alpha band oscillations in the Attentional Blink. Journal of Cognitive Neuroscience. 2014, Jul;26(7):1454-68.
  14. J. Dhinakaran, M. De Vos, J.D. Thorne, C. Kranczioch. Modulation of Attention and Neuroticism: Evidence from ssVEPs. Experimental Brain Research 2014, in press.
  15. G. Strobbe, P. van Mierlo, M. De Vos, B. Mijovic, H. Hallez, S. Van Huffel, J. David Lopez, S. Vandenberghe. Bayesian model selection of template forward models for EEG source reconstruction. Neuroimage 2014 Jun;93 Pt 1:11-22.


  1. B. Hunyadi, S. Toussyen, B. Mijovic, P. Dupont, S. Van Huffel, W. Van Paesschen, M. De Vos. ICA Extracts Epileptic Sources from fMRI in EEG-Negative Patients: A Retrospective Validation Study. Plos One 2013, vol. 8: e78796.
  2. J. Dhinakaran, M. De Vos, J.D. Thorne, N. Braun, J. Janson and C. Kranczioch. Tough doughnuts: Affect and the modulation of attention. Frontiers in human neuroscience 2013, 7:876.
  3. I. Gligorijevic, J. Van Dijck, J.H. Blok, B. Mijovic, S. Van Huffel and M. De Vos. A new and fast approach towards sEMG decomposition. Biomedical Engineering and Computing, 2013, vol. 51, pp. 593-605.
  4. V. Matic, P.J. Cherian, D. Widjaja, K. Jansen, G. Naulaers, S. Van Huffel, M. De Vos. Heart rate variability in newborns with hypoxic brain injury. Advances in experimental medicine and biology 2013, vol. 789, pp. 43-48.
  5. Y. Liu, M. De Vos, I. Gligorijevic, V. Matic, Y. Li, S. Van Huffel, ``Multi-Structural Signal Recovery for Biomedical Compressive Sensing'', IEEE Trans BME 2013, vol. 60, pp. 2794 - 2805.
  6. I. Despotovic, P.J. Cherian, M. De Vos, W. Deburchgraeve, H. Hallez, P. Govaert, M. Lequin, G.H. Visser, R. Swarte, E. Vansteenkiste, S. Van Huffel and W. Philips. Relationship of EEG sources of neonatal seizures to acute perinatal brain lesions seen on MRI: a pilot study. Human Brain Mapping 2013, vol. 34, pp. 2402-2417.
  7. K. Vanderperren, B. Mijovic, N. Novitskiy, B. Vanrumste, P. Stiers, B.R.H. Van den Bergh, L. Lagae, S. Sunaert, J. Wagemans, S. Van Huffel and M. De Vos. Single trial ERP reading based on Parallel Factor Analysis. Psychophysiology, 2013, vol. 50, pp. 97-110.