
| Publications |
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Frontal phasic and oscillatory generators of the N30 somatosensory evoked potential Cebolla AM, Palmero-Soler E, Dan B, Cheron G.Neuroimage. 2010 Sep 7. (ahead of print), 2010. Abstract: The N30 component of somatosensory evoked potentials has been recognized as a crucial index of brain sensorimotor processing and has been increasingly used clinically. Previously, we have shown that the N30 is accompanied by both an increase of the power spectrum of the ongoing beta-gamma EEG (event related synchronization, ERS) and by a reorganization (phase-locking) of the spontaneous phase of this rhythm (inter-trials coherency, ITC). In order to localize its sources taking into account both the phasic and oscillatory aspects of the phenomenon, we here apply swLORETA methods on averaged signals of the event-related potential (ERP) from a 128 scalp-electrodes array in time domain and also on raw EEG signals in frequency domain at the N30 peak latency. We demonstrate that the two different mechanisms that generate the N30 component power increase (ERS) and phase locking (ITC) across EEG trials are spatially localized in overlapping areas in the precentral cortex, namely the motor cortex (BA4) and the premotor cortex (BA6). From this common region, the generator of the N30 event-related potential expands toward the posterior part of BA4, the anterior part of BA6 and the prefrontal cortex (BA9). These latter areas also present significant ITC sources in the beta-gamma frequency range, but without significant power increase of this rhythm. This demonstrates that N30 results from network activity that depends on distinct oscillating and phasic generators localized in the frontal cortex. |
Early visually evoked electrophysiological responses over
the human brain (P1, N170) show stable patterns of
face-sensitivity from 4 years to adulthood Dana Kuefner, Adelaide de Heering, Corentin Jacques, Ernesto Palmero-Soler and Bruno Rossion2010. Abstract: Whether the development of face recognition abilities truly reflects changes in how faces, specifically, are perceived, or rather can be attributed to more general perceptual or cognitive development, is debated. Event-related potential (ERP) recordings on the scalp offer promise for this issue because they allow brain responses to complex visual stimuli to be relatively well isolated from other sensory, cognitive and motor processes. ERP studies in 5- to 16-year-old children report large age-related changes in amplitude, latency (decreases) and topographical distribution of the early visual components, the P1 and the occipito-temporal N170. To test the face specificity of these effects, we recorded high-density ERPs to pictures of faces, cars, and their phase-scrambled versions from 72 children between the ages of 4 and 17 and a group of , adults. We found that none of the previously reported age-dependent changes in amplitude, latency or topography of the P1 or N170 were specific to faces. Most importantly, when we controlled for age-related variations of the P1, the N170 appeared remarkably similar in amplitude and topography across development, with much smaller age-related decreases in latencies than previously reported. At all ages the N170 showed equivalent face-sensitivity: it had the same topography and right hemisphere dominance, it was absent for meaningless (scrambled) stimuli, and larger and earlier for faces than cars. The data also illustrate the large amount of inter- individual and inter-trial variance in young children`s data, which causes the N170 to merge with a later component, the N250, in grand-averaged data. Based on our observations, we suggest that the previously reported `bi-fid` N170 of young children is in fact the N250. Overall, our data indicate that the electrophysiological markers of face-sensitive perceptual processes are present from 4 years of age and do not appear to change throughout development |
Alpha and theta evoked brain oscillations underlie object selective attention processes E. Alonso-Prieto, E. Palmero, J. Kanev, F. Zanow, A. MartinezBrain Topography, 2007. |
Timing of V1/V2 and V5+ activations during coherent motion of dots: An MEG study E. Alonso-Prieto, U. Barnikol, E. Palmero, K. Dolan, G. Hesselmann, H. Mohlberg, K. Amunts, K. Zilles, M. Niedeggen, P.A. TassaNeuroImage, 37, pp 1384-1395, 2007. |
Phase synchrony among ventral and dorsal visual streams during the integration of form and motion information E. Alonso-Prieto. E. Palmero-Soler. M. Majtanik, K. Dolan, H. Mohlberg, K. Amunts, C. Rottschy, E. Aubert-VAzquez, K. Zilles, M.Niedeggen, P.A. Tass,NeuroImage (CD-Rom), 2006. |
A comparative study of MEG inverse methods: weighted Minimum Norm, MFT, and sLORETA V. Hadamschek, E. Palmero-Soler, J. Dammers, T. Fieseler, P.A. TassIn press, 2006. |
Temporal dynamics of visual motion processing in human cortical areas V1 and V5: a MEG study E. Alonso-Prieto, U. Barnikol, E. Palmero-Soler, J. Dammers, T. Fieseler, S. Wuttich,NeuroImage (CD-Rom), 26, 2005. |
A comparison of the sLORETA method in the presence of noise with different prior functions E. Palmero-Soler, V. Hadamschek, K. Dolan, J. Dammers and A.P. TassNeuroImage (CD-Rom), 26, 2005. |
Influence of levodopa on cognition of idiopathic Parkinson's disease E. Alonso-Prieto, E. Michel-Esteban, C. Trujillo-Matienzo, E. Palmero-SolerRevista Neurologia, 19, 2004. |
Cognitive diagnosis of cerebrovascular diseases by event related potentials: anatomical sources that generate P300 E. Alonso-Prieto, E. Palmero-Soler, E. Cuspineda-Bravo, E. Cordero-Eiriz, N. Trujillo-Barreto, C. Trujillo-Matienzo, O. Fernandez-Concepcion, A. Jimenez-CondeRevista Neurologia, 38, 2004. |
Even-related potentials and the diagnosis of short-term verbal memory disorders in cerebrovascular disease E. Alonso-Prieto, E. Palmero-Soler, C. Trujillo-Matienzo, E. Cuspineda-Bravo, I. Suarez-LuisRevista Neurologia, 39, 2004. |
Event-related potentials and the diagnosis of short-term verbal memory disorders in cerebrovascular disease E. Alonso-Prieto, E. Palmero-Soler, C. Trujillo-Matienzo, E. Cuspineda-Bravo, I. Suarez-LuisRevista Neurologia, 2004. |
MCMC for Bayesian Model Averaging in EEG/MEG imaging N. Trujillo-Barreto, E. Palmero-Soler, L. Melie, E. MartinezNeuroImage (CD-Rom), 19, 2003. |