RT Journal Article
SR Electronic
T1 Mind the drift - improving sensitivity to fMRI pattern information by accounting for temporal pattern drift
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 032391
DO 10.1101/032391
A1 Arjen Alink
A1 Alexander Walther
A1 Alexandra Krugliak
A1 Jasper J.F. van den Bosch
A1 Nikolaus Kriegeskorte
YR 2015
UL http://biorxiv.org/content/early/2015/12/04/032391.abstract
AB Analyzing functional magnetic resonance imaging (fMRI) pattern similarity is becoming increasingly popular because it allows one to relate distributed patterns of voxel activity to continuous perceptual and cognitive states of the human brain. Here we show that fMRI pattern similarity estimates are severely affected by temporal pattern drifts in fMRI data – even after voxel-wise detrending. For this particular dataset, the drift effect obscures orientation information as measured by fMRI pattern dissimilarities. We demonstrate that orientation information can be recovered using three different methods: 1. Regressing out the drift component through linear modeling; 2. Computing representational distances between conditions measured in independent imaging runs; 3. Crossvalidation of pattern distance estimates. One possible source of temporal pattern drift could be random walk like fluctuations — physiological or scanner related — occurring within single voxel timecourses. This explanation is consistent with voxel-wise detrending not alleviating pattern drift effects. In addition, this would explain why crossvalidated pattern distances are robust to temporal drift because a random walk process is expected to give rise to non-replicable drift directions. Given these findings, we recommend that future fMRI studies take pattern drift into account when analyzing pattern similarity as this can greatly enhance the sensitivity to experimental effects of interest.