BACKGROUND Cross-frequency modulation (CfM) supports the synchronization and the coordination of the high-frequency activity of large brain areas and it may represent a generalized mode of systems communication and integration (Canolty and Knight, 2010). CfM, therefore, it is likely to be a key element of the brain integration (He et al, 2010), featuring the learning process (Tort et al, 2009), the higher cognitive functions and the healthy thought process (Allen et al, 2011) as well as the emergence of consciousness (Melloni et al, 2007, Tononi, 2010). AIM OF THE STUDY The present study was focused on the relationship between CfM and cognitive performance compared withother classical neurophysiologic parameters. METHODS A cognitive task, similar to the WCST, was developed. 71 Channels EEG was recorded by means of EGI Geodesic equipment set to a sample ratio of 250 Hz. Data are processed using the EEGLAB Matlab Package (Delorme and Makeig, 2004). Independent Component Analysis, Cluster Analysis with dipole projection were performed. Cross Frequency Modulation (CfM) indexes between EEG low frequency phase and high frequency amplitude have been computed also. RESULTS Present preliminary data are performed on a sample of healthy subjects, aged between 20 and 45 years old. Avarage response time was about 2 sec, and an anticipation of the P3 pick was observed the case of a persistent correct answers. A greater CfM was associated to best performances, in some clusters only. CONCLUSIONS This preliminary results support the hypothesis that CfM may have a role in brain network integration.
Cross Frequency Modulation and Cognitive Performance
MARCONI, PIER LUIGI;TAMBELLI, RENATA;PENNA, MARIA PIETRONILLA;
2015-01-01
Abstract
BACKGROUND Cross-frequency modulation (CfM) supports the synchronization and the coordination of the high-frequency activity of large brain areas and it may represent a generalized mode of systems communication and integration (Canolty and Knight, 2010). CfM, therefore, it is likely to be a key element of the brain integration (He et al, 2010), featuring the learning process (Tort et al, 2009), the higher cognitive functions and the healthy thought process (Allen et al, 2011) as well as the emergence of consciousness (Melloni et al, 2007, Tononi, 2010). AIM OF THE STUDY The present study was focused on the relationship between CfM and cognitive performance compared withother classical neurophysiologic parameters. METHODS A cognitive task, similar to the WCST, was developed. 71 Channels EEG was recorded by means of EGI Geodesic equipment set to a sample ratio of 250 Hz. Data are processed using the EEGLAB Matlab Package (Delorme and Makeig, 2004). Independent Component Analysis, Cluster Analysis with dipole projection were performed. Cross Frequency Modulation (CfM) indexes between EEG low frequency phase and high frequency amplitude have been computed also. RESULTS Present preliminary data are performed on a sample of healthy subjects, aged between 20 and 45 years old. Avarage response time was about 2 sec, and an anticipation of the P3 pick was observed the case of a persistent correct answers. A greater CfM was associated to best performances, in some clusters only. CONCLUSIONS This preliminary results support the hypothesis that CfM may have a role in brain network integration.
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