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Abstract #5324

Evaluating the impact of SNR, sampling interval and number of samples on functional sensitivity using the General Linear Model framework

Nadège Corbin1, Guillaume Flandin1, Oliver Josephs1, Nick Todd2, Karl J Friston1, and Martina F Callaghan1

1Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom, 2Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States

In fMRI, functional sensitivity is dictated by many factors related to the data acquisition scheme, most notably image SNR, temporal resolution and the number of samples acquired. Advanced acquisition techniques, such as 2D multiband imaging, are popular for fMRI studies because they afford the possibility of greatly increasing temporal resolution allowing more samples to be acquired per unit time, but at the cost of image SNR and increased temporal auto-correlations. This study uses the General Linear Model framework to disentangle these effects and determine the net impact on functional sensitivity, as parameterised via temporal SNR and t-scores.

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