Consciousness and its Measures: Joint Workshop for COST Actions NeuroMath and Consciousness

  • Fabio Babiloni
  • Andreas A Ioannides
  • Wlodzimierz Klonowski
Open Access


Mutual Information Cortical Activity Conscious State Open Access Journal ADHD Patient 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

The main goals of COST Action NeuroMath are the same as those of the open access journal Nonlinear Biomedical Physics - to show how new methods that are being developed in physical disciplines can shed new light on biological phenomena and their medical applications and to bridge the gaps between specialists in physics and biomedical specialists who use these methods in practice. Medical doctors and biologists rather avoid reading physical journals because the articles published there contain 'heavy' mathematics; on the other hand, physicists and engineers rarely read biological and medical journals because articles there are mostly descriptive. Both COST NeuroMath Action with its workshops and the journal Nonlinear Biomedical Physics were created to enable these groups to meet together.

In this Supplement to Nonlinear Biomedical Physics we publish the best papers based on the presentations shown during the joint workshop for COST Actions NeuroMath (BM0601) and Consciousness (BM0605) 'Consciousness and its Measures' that took place in Limassol, Cyprus, 29 November - 01 December, 2009.

The papers present the newest interdisciplinary achievements in both applied and theoretical research on brain and consciousness. Transient process and synchrony of cortical activity [1], different patterns of cortical activity [2] and assessment of different conscious states [3] are presented. Neurodynamics is studied based on fMRI [4] and on high-resolution EEG signals [5]. Mutual Information is used to study yoking of eyes during saccadic movements [6] and MEG around saccades is analyzed for non-invasive characterization of the human eye fields [7]. Parameter selection for cortical potential imaging [8], and classification of ADHD patients based on independent ERP components [9] are discussed. Language processing by human brain using fMRI [10] and the influence of noise due to electromagnetic interference on processing of visual information [11] are studied.

We thank the Authors and the Reviewers for the great job they all have done. We also thank Dr. Kalliopi Kostelidou, Science Officer, BMBS Domain, COST Office, Brussels, and Isobel Peters, Senior Project Manager as well as The Independent Editorial Production Team of BioMed Central, London, for their invaluable assistance in publishing this Supplement to Nonlinear Biomedical Physics.

Figure 1



This article has been published as part of Nonlinear Biomedical Physics Volume 4 Supplement 1, 2010: Consciousness and its Measures: Joint Workshop for COST Actions Neuromath and Consciousness. The full contents of the supplement are available online at


  1. 1.
    Shimaoka D, Kitajo K, Kaneko K, Yamuguchi Y: Transient process of cortical activity during Necker cube perception: from local clusters to global synchrony. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S7-10.1186/1753-4631-4-S1-S7.CrossRefGoogle Scholar
  2. 2.
    Vecchiato G, Astolfi L, Cincotti F, De Vico Fallani F, Sorrentino DM, Mattia D, Salinari S, Bianchi L, Toppi J, Aloise F, Babiloni F: Patterns of cortical activity during the observation of Public Service Announcements and commercial advertisings. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S3-10.1186/1753-4631-4-S1-S3.CrossRefGoogle Scholar
  3. 3.
    Ozgoeren M, Bayazit O, Kocaaslan S, Gokmen N, Oniz A: Brain function assessment in different conscious states. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S6-10.1186/1753-4631-4-S1-S6.CrossRefGoogle Scholar
  4. 4.
    Lundervold A: On consciousness, resting state fMRI, and neurodynamics. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S9-10.1186/1753-4631-4-S1-S9.CrossRefGoogle Scholar
  5. 5.
    De Vico Fallani F, de Fontoura Costa L, Aparecido Rodriguez F, Astolfi L, Vecchiato G, Toppi J, Borghini G, Cincotti F, Mattia D, Salinari S, Isabella R, Bablioni F: A graph-theoretical approach in brain functional networks. Possible implications in EEG studies. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S8-10.1186/1753-4631-4-S1-S8.CrossRefGoogle Scholar
  6. 6.
    Maruyama M, Fenwick PBC, Ioannides AA: Interocular yoking in human saccades examined by mutual information analysis. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S10-10.1186/1753-4631-4-S1-S10.CrossRefGoogle Scholar
  7. 7.
    Ioannides AA, Febwick PBC, Pitri E, Liu L: A step towards non-invasive characterization of the human frontal eye fields of individual subjects. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S11-10.1186/1753-4631-4-S1-S11.CrossRefGoogle Scholar
  8. 8.
    Subramaniyam NP, Väisänen ORM, Wendel KE, Malmivuo JAV: Cortical potential imaging using L-curve and GCV method to choose the regularisation parameter. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S4-10.1186/1753-4631-4-S1-S4.CrossRefGoogle Scholar
  9. 9.
    Mueller A, Candrian G, Kropotov JD, Ponomarev VA, Baschera GM: Classification of ADHD patients on the basis of independant ERP components using a machine learning system. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S1-10.1186/1753-4631-4-S1-S1.CrossRefGoogle Scholar
  10. 10.
    Šveljo OB, Koprivšek KM, Lučić MA, Prvulović MB, Ćulić M: Gender differences in brain areas involved in silent counting by means of fMRI. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S2-10.1186/1753-4631-4-S1-S2.CrossRefGoogle Scholar
  11. 11.
    Hinrikus H, Karai D, Lass J, Rodina A: Effect of noise in processing of visual information. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S5-10.1186/1753-4631-4-S1-S5.CrossRefGoogle Scholar
  12. 12.
    Kostelidou K, Bablioni F: Why bother with a COST Action? The benefits of networking in science. Nonlinear Biomedical Physics. 2010, 4 (Suppl 1): S12-10.1186/1753-4631-4-S1-S12.CrossRefGoogle Scholar

Copyright information

© Babiloni et al; licensee BioMed Central Ltd. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Authors and Affiliations

  • Fabio Babiloni
    • 1
  • Andreas A Ioannides
    • 2
  • Wlodzimierz Klonowski
    • 3
  1. 1.University of Rome SapienzaDepartment of Physiology and PharmacologyRomeItaly
  2. 2.Laboratory for Human Brain DynamicsAAI Scientific Cultural Services LtdNicosiaCyprus
  3. 3.Institute of Biocybernetics and Biomedical EngineeringPolish Academy of SciencesWarsawPoland

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