Abstract #2282

Analysis of Simultaneous EEG/fMRI Data in Epileptic Patients Using ICA and GLM Based Methods.

Marco Carn^1,2, Carlo Di Bonaventura³, Giovanni Giulietti⁴, Jinan Fattouch⁵, Anna Teresa Giallonardo⁶, Anna Elisabetta Vaudano⁶, Valter Nucciarelli⁶, Mario Manfredi⁶, Massimiliano Prencipe⁶, Vittorio Cannat¹, Bruno Maraviglia²

¹Department of Occupational and safety- Medical Physics-, Bambino Ges Children's Ospital,Scientific Istitute (IRCCS), Rome, Italy; ²Department of Physics University of Rome La Sapienza, MARBILab Enrico Fermi Center, Rome, Italy; ³Department of Neurology,, University of Rome Sapienza, Rome, Italy; ⁴Department of Physics University of Rome La Sapienza, MARBILab Enrico Fermi Center,, Rome, Italy; ⁵Department of Neurology, University of Rome Sapienza,, Rome, Italy; ⁶Department of Neurology, University of Rome Sapienza, Rome, Italy

In this study we applied two different methods to analyze fMRI data, acquired simultaneously with EEG, coming from experiments involving patients with Idiopathic Generalized Epilepsy or with Cryptogenic Partial Epilepsy. We used first the data driven ICA (Independent Components Analysis) on fMRI data, while in the second approach we applied the GLM (General Linear Model) on the same data, but exploiting the EEG recording to compute the regressor. ICA and GLM analysis detected either activation areas located in agreement with presumed electroclinical hypothesis and the BOLD patterns of activation in response to synchronized ictal activity.