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Abstract #0141

Assessing High Frequency Functional Connectivity Networks

MAGNA25Thomas Allan1, Cesar Caballero-Gaudes2, Matthew Brookes1, Susan Francis1, Penny Gowland1

1SPMMRC, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom; 2Department of Radiology and Medical Informatics, Hopitaux Universitaire de Genve, Genve, Switzerland


We investigate the signal fluctuations behind functional connectivity to determine what contribution high frequency signals (greater than 0.01Hz) and haemodynamic events have on functional correlations. We also consider how the number of events found during rest periods, using paradigm free mapping, changes following a task (motor and 2-back task) and how these events modulate functional networks. We show that events and high frequency oscillations are a significant contributor to network connectivity, and removing these events changes the correlation between distinct brain regions.

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