Abstract #2287

Default Mode Network and Working Memory Network During an fMRI Working Memory Task: Differences and Correlations with Behavioral Performance

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.