Jack Harmer1, Richard Bowtell1, Susan Francis1
1SPMMRC, The University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
Spontaneous, low frequency fluctuations in connected networks have been identified in T2*-weighted gradient-echo (GE) BOLD data. Here, we use a dual GE-SE-EPI sequence at 7T to identify functional connectivity maps in SE and GE BOLD data using ICA analysis. We assess the correlation of signal fluctuations in the SE and GE time-series, showing a higher correlation in the DMN than in global grey matter. We calculate the ratio of the changes in relaxation rates underlying the signal fluctuations, δR2*/δR2, to be 1.910.30 in grey matter, in good agreement with the value of ~2.1 found for task-induced changes in motor cortex.