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Laboratory of functional neuroelectrical imaging and brain–computer interfacing at Fondazione Santa Lucia

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Abstract

The laboratory of functional neuroelectrical imaging and brain–computer interfacing at Fondazione Santa Lucia is based on the joint work of researchers with a bioengineering and clinical neurophysiology background. The activity is mainly devoted to two aims: the non-invasive investigation of the motor cortical function under physiological and pathological conditions, through the development of advanced processing methods of the electroencephalographic signals; the development of a real-time EEG-based brain–computer interface (BCI) and the study of its use as an aid to enhance (or even to allow) the functional independence of persons with different degrees of motor disability.

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References

  • Astolfi L, Cincotti F, Babiloni C, Basilisco A, Rossini PM, Marciani MG, Mattia D, Salinari S, Ben Dayan D, Ding L, Ni Y, He B, Babiloni F (2005a) Assessing cortical functional connectivity by linear inverse estimation and directed transfer function: simulations and application to real data. Clin Neurophysiol (in press)

  • Astolfi L, Cincotti F, Babiloni C, Carducci F, Basilisco A, Rossini PM, Salinari S, Mattia D, Cerutti S, Ben Dayan D, Ni Y, He B, Babiloni F (2005b) Estimation of the cortical connectivity by high resolution EEG and structural equation modeling: simulations and application to finger tapping data. IEEE Trans Biomed Eng (in press)

  • Astolfi L, Cincotti F, Mattia D, Salinari S, Babiloni C, Basilisco A, Rossini PM, Marciani MG, Babiloni F (2005c) Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied on high resolution EEG. Magn Res Imag (in press)

  • Babiloni F, Cincotti F (2004) Multimodal imaging from neuroelectromagnetic and functional magnetic resonance recordings. In: He B (ed) Modeling and imaging of bioelectrical activity: principles and applications. Kluwer, Plenum, New York

    Google Scholar 

  • Babiloni F, Babiloni C, Carducci F, Fattorini L, Onorati P, Urbano A (1996) Spline Laplacian estimate of EEG potentials over a realistic magnetic resonance-constructed scalp surface model. Electroencephalogr Clin Neurophysiol 98(4):363—373

    Google Scholar 

  • Babiloni F, Babiloni C, Locche L, Cincotti F, Rossini PM, Carducci F (2000a) High-resolution electro-encephalogram: source estimates of Laplacian-transformed somatosensory-evoked potentials using a realistic subject head model constructed from magnetic resonance images. Med Biol Eng Comput 38(5):512—519

    Google Scholar 

  • Babiloni F, Cincotti F, Lazzarini L, Millan J, Mourino J, Varsta M, Heikkonen J, Bianchi L, Marciani MG (2000b) Linear classification of low-resolution EEG patterns produced by imagined hand movements. IEEE Trans Rehabil Eng 8(2):186–188

    Article  Google Scholar 

  • Babiloni F, Cincotti F, Bianchi L, Pirri G, del RM, Mourino J, Salinari S, Marciani MG (2001) Recognition of imagined hand movements with low resolution surface Laplacian and linear classifiers. Med Eng Phys 23(5):323–328

    Article  Google Scholar 

  • Babiloni F, Babiloni C, Carducci F, Cincotti F, Rossini PM (2003a) ‘The stone of madness’ and the search for the cortical sources of brain diseases with non-invasive EEG techniques. Clin Neurophysiol 114(10):1775–1780

    Article  Google Scholar 

  • Babiloni F, Babiloni C, Carducci F, Romani GL, Rossini PM, Angelone LM, Cincotti F (2003b) Multimodal integration of high-resolution EEG and functional magnetic resonance imaging data: a simulation study. Neuroimage 19(1):1–15

    Article  Google Scholar 

  • Babiloni F, Cincotti F, Babiloni C, Carducci F, Basilisco A, Rossini PM, Mattia D, Astolfi L, Ding L, Ni Y, Cheng K, Christine K, Sweeney J, He B (2005a) Estimation of the cortical functional connectivity with the multimodal integration of high resolution EEG and fMRI data by Directed Transfer Function. Neuroimage 24(1):118–131

    Article  Google Scholar 

  • Babiloni F, Mattia D, Babiloni C, Astolfi L, Salinari S, Basilisco A, Rossini PM, Marciani MG, Cincotti F (2005b) Multimodal integration of EEG, MEG and fMRI data for the solution of the neuroimage puzzle. Magn Res Imag (in press)

  • Bianchi L, Babiloni F, Cincotti F, Arrivas M, Bollero P, Marciani MG (2003a) Developing wearable bio-feedback systems: a general-purpose platform. IEEE Trans Neural Syst Rehabil Eng 11(2):117–119

    Article  Google Scholar 

  • Bianchi L, Babiloni F, Cincotti F, Salinari S, Marciani MG (2003b) Introducing BF++: AC++ framework for cognitive bio-feedback systems design. Methods Inf Med 42(1):104–110

    Google Scholar 

  • Bollen KA (1989) Structural equations with latent variables. Wiley, New York

    Google Scholar 

  • Cincotti F, Mattia D, Babiloni C, Carducci F, Bianchi L, del RM, Mourino J, Salinari S, Marciani MG, Babiloni F (2002) Classification of EEG mental patterns by using two scalp electrodes and Mahalanobis distance-based classifiers. Methods Inf Med 41(4):337–341

    Google Scholar 

  • Cincotti F, Mattia D, Babiloni C, Carducci F, Salinari S, Bianchi L, Marciani MG, Babiloni F (2003) The use of EEG modifications due to motor imagery for brain–computer interfaces. IEEE Trans Neural Syst Rehabil Eng 11(2):131–133

    Article  Google Scholar 

  • Cincotti F, Babiloni C, Miniussi C, Carducci F, Moretti D, Salinari S, Pascual-Marqui R, Rossini PM, Babiloni F (2004a) EEG deblurring techniques in a clinical context. Methods Inf Med 43(1):114–117

    Google Scholar 

  • Cincotti F, Mattia D, Mattiocco M, Timperi A, Campani G, Salinari S, Marciani MG, Babiloni F (2004b) Detection of cortical activity asymmetries from non invasive EEG recordings for brain computer interface applications. In: The 10th annual meeting of the organization for human brain mapping

  • Curt A, Alkadhi H, Crelier GR, Boendermaker SH, Hepp-Reymond MC, Kollias SS (2002) Changes of non-affected upper limb cortical representation in paraplegic patients as assessed by fMRI. Brain 125(11):2567–2578

    Article  Google Scholar 

  • Dale AM, Sereno M (1993) Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface recostruction: a linear approach. J Cogn Neurosci 5:162–176

    Google Scholar 

  • Dale AM, Liu AK, Fischl BR, Buckner RL, Belliveau JW, Lewine JD, Halgren E (2000) Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity. Neuron 26(1):55–67

    Article  Google Scholar 

  • Hämäläinen M, Ilmoniemi R (1984) Measured magnetic field of the brain: estimates of the current distributions. Technical report TKK-F-A559, Helsinki University of Technology, Helsinki

    Google Scholar 

  • Hjorth B (1975) An on-line transformation of EEG scalp potentials into orthogonal source derivations. Electroencephalogr Clin Neurophysiol 39(5):526–530

    Article  Google Scholar 

  • Jancke L, Loose R, Lutz K, Specht K, Shah NJ (2000) Cortical activations during paced finger-tapping applying visual and auditory pacing stimuli. Brain Res Cogn Brain Res 10(1–2):51–66

    Article  CAS  PubMed  Google Scholar 

  • Kaminski M, Ding M, Truccolo WA, Bressler SL (2001) Evaluating causal relations in neural systems: granger causality, directed transfer function and statistical assessment of significance. Biol Cybern 85(2):145–157

    Article  Google Scholar 

  • Logothetis NK, Pauls J, Augath M, Trinath T, Oeltermann A (2001) Neurophysiological investigation of the basis of the fMRI signal. Nature 412(6843):150–157

    Article  Google Scholar 

  • Magistretti PJ, Pellerin L, Rothman DL, Shulman RG (1999) Energy on demand. Science 283(5401):496–497

    Article  CAS  PubMed  Google Scholar 

  • Mattia D, Cincotti F, Zomparelli B, Mattiocco M, Marciani MG, Babiloni F (2004) Motor-cortical activity in spinal cord injury: pattern of EEG reactivity during no overt movement. In: The 10th annual meeting of the organization for human brain mapping

  • McFarland DJ, McCane LM, David SV, Wolpaw JR (1997) Spatial filter selection for EEG-based communication. Electroencephalogr Clin Neurophysiol 103(3):386–394

    Article  Google Scholar 

  • McIntosh AR, Gonzalez-Lima F (1994) Structural equation modelling and its application to network analysis in functional brain imaging. Hum Brain Mapp 2(1–2):2–22

    Article  Google Scholar 

  • Michel CM, Murray MM, Lantz G, Gonzalez S, Spinelli L, Grave dP (2004) EEG source imaging. Clin Neurophysiol 115(10):2195–2222

    Article  Google Scholar 

  • Millan J, Franze M, Mourino J, Cincotti F, Babiloni F (2002) Relevant EEG features for the classification of spontaneous motor-related tasks. Biol Cybern 86(2):89–95

    Article  Google Scholar 

  • Millàn J, Mourino J, Franzé M, Cincotti F, Varsta M, Heikkonen J, Babiloni F (2002) A local neural classifier for the recognition of EEG patterns associated to mental tasks. IEEE Trans Neural Netw 13(3):678–686

    Article  Google Scholar 

  • Salmelin R, Hamalainen M, Kajola M, Hari R (1995) Functional segregation of movement-related rhythmic activity in the human brain. Neuroimage 2(4):237–243

    Article  Google Scholar 

  • Schalk G, McFarland DJ, Hinterberger T, Birbaumer N, Wolpaw JR (2004) BCI2000: a general-purpose brain–computer interface (BCI) system. IEEE Trans Biomed Eng 51(6):1034–1043

    Article  Google Scholar 

  • Shoham S, Halgren E, Maynard EM, Normann RA (2001) Motor-cortical activity in tetraplegics. Nature 413(6858):793

    Article  Google Scholar 

  • Volkmann J, Joliot M, Mogilner A, Ioannides AA, Lado F, Fazzini E, Ribary U, Llinas R (1996) Central motor loop oscillations in parkinsonian resting tremor revealed by magnetoencephalography. Neurology 46(5):1359–1370

    Google Scholar 

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Acknowledgements

The activity of the laboratory is funded in part by the Fondazione Telethon onlus, grant GUP03562; we would like to acknowledge Dr. Gianni Nicolai and Mr. Danilo Mattia for their technical contribution.

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Correspondence to Febo Cincotti.

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Communicated by Irene Ruspantini and Niels Birbaumer

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Cincotti, F., Babiloni, F., Mattiocco, M. et al. Laboratory of functional neuroelectrical imaging and brain–computer interfacing at Fondazione Santa Lucia. Cogn Process 6, 75–83 (2005). https://doi.org/10.1007/s10339-004-0044-9

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  • DOI: https://doi.org/10.1007/s10339-004-0044-9

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