Luca Ciancetta

Publications of Luca Ciancetta

• Temporal dynamics of spontaneous MEG activity in brain networks.

  Authors: Francesco de Pasquale, Stefania Della Penna, Abraham Z Snyder, Christopher Lewis, Dante Mantini, Laura Marzetti, Paolo Belardinelli, Luca Ciancetta, Vittorio Pizzella, Gian Luca Romani, Maurizio Corbetta

  Proceedings of the National Academy of Sciences of the United States of America. 03/2010; 107(13):6040-5.

  Functional MRI (fMRI) studies have shown that low-frequency (<0.1 Hz) spontaneous fluctuations of the blood oxygenation level dependent (BOLD) signal during restful wakefulness are coherent withinFunctional MRI (fMRI) studies have shown that low-frequency (<0.1 Hz) spontaneous fluctuations of the blood oxygenation level dependent (BOLD) signal during restful wakefulness are coherent within distributed large-scale cortical and subcortical networks (resting state networks, RSNs). The neuronal mechanisms underlying RSNs remain poorly understood. Here, we describe magnetoencephalographic correspondents of two well-characterized RSNs: the dorsal attention and the default mode networks. Seed-based correlation mapping was performed using time-dependent MEG power reconstructed at each voxel within the brain. The topography of RSNs computed on the basis of extended (5 min) epochs was similar to that observed with fMRI but confined to the same hemisphere as the seed region. Analyses taking into account the nonstationarity of MEG activity showed transient formation of more complete RSNs, including nodes in the contralateral hemisphere. Spectral analysis indicated that RSNs manifest in MEG as synchronous modulation of band-limited power primarily within the theta, alpha, and beta bands-that is, in frequencies slower than those associated with the local electrophysiological correlates of event-related BOLD responses.

• Modulation of alpha oscillations in insular cortex reflects the threat of painful stimuli.

  Authors: Raffaella Franciotti, Luca Ciancetta, Stefania Della Penna, Paolo Belardinelli, Vittorio Pizzella, Gian Luca Romani

  NeuroImage. 04/2009;

  Pain is a sensory and emotional experience that involves numerous brain areas. Among these areas the insular cortex has been shown to be involved in the expectation and processing of pain. AlphaPain is a sensory and emotional experience that involves numerous brain areas. Among these areas the insular cortex has been shown to be involved in the expectation and processing of pain. Alpha power modulation has been associated with the experience of pain. The aim of this study was to test the hypothesis that the threat of a painful stimulus affects alpha rhythm oscillation in the insular cortex and to find the time intervals during which the insular cortex is most active. We used a beamforming method in the frequency domain to estimate alpha power associated with source activity during psychologically different conditions, namely a sequence of nonpainful somatosensory stimuli (non-threatening condition) and a sequence of nonpainful stimuli randomly intermixed with painful stimuli (threatening condition). The results revealed that the anterior insula alone was involved during the threat of painful stimuli. Conversely, the posterior insula - as well as other brain areas such as SII - was involved in the processing of somatosensory stimuli regardless their painfulness. Additionally, the involvement of the anterior insula should not be accounted for by fear, arousal, habituation effect or by the occurrence of randomly interleaved different stimuli, but it is likely to be related mainly to expectancy mechanisms enhancing activity of specific neuronal populations.