Marta Re1,
2, Tommaso Piccoli3, 4, Giancarlo Valente3,
Vincent Van De Ven3, Alexander Sack3, Francesco Di
Salle3, 5
1IRCCS Istituto Scientifico Eugenio Medea,
Bosisio Parini, Lecco, Italy; 2Dipartimento di Bioingegneria,
Politecnico di Milano, Milano, MI, Italy; 3Department of Cognitive
Neuroscience, University of Maastricht, Maastricht, Limburg, Netherlands; 4Dipartimento
di Biomedicina e Neuroscienze Cliniche, Universit degli Studi di Palermo,
Palermo, PA, Italy; 5Dipartimento di Medicina e Chirurgia,
Universit di Salerno, Baronissi, SA, Italy
Working memory (WM) load has effects on regional neural activation, but the mechanism through which its modulates brain connectivity is still unclear. Spatial independent component analysis (ICA) is a reliable technique to investigate the networks during an fMRI task. The aim of this work is to use the time course of the WM task involved networks (default mode network and working memory network), selected by means of ICA, for studying: a) how these networks are involved with the complexity of the task and the phase; b) how, in these networks, complexity and phase are correlated with reaction times.