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Abstract #0874

Using measured Haemodynamic Response Functions in Population Receptive Field mapping at 7 T

Michael Asghar1, Denis Schluppeck2, and Susan Francis2

1SPMIC, University of Nottingham, Nottingham, United Kingdom, 2University of Nottingham, Nottingham, United Kingdom

In order to combat overfitting in computational encoding models, one method is to reduce the number of fit parameters. In population receptive field (pRF) mapping, a haemodynamic response function (HRF) is parameterized from the fMRI timeseries, and this may inflate model fits (r2). Here, we show that measured HRF estimates from a brief set of separate HRF measurement scans can be included in the pRF fitting procedure, reducing the degrees of freedom. We show that model fits between our “HRF-informed” pRF and the traditional fitted HRFs are comparable, suggesting that this method is more representative of the ground truth.

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