Decoding vibrotactile choice independent of stimulus order and saccade selection during sequential comparisons

Description: Decision‐making in the somatosensory domain has been intensively studied using vibrotactile frequency discrimination tasks. Results from human and monkey electrophysiological studies from this line of research suggest that perceptual choices are encoded within a sensorimotor network. These findings, however, rely on experimental settings in which perceptual choices are inextricably linked to sensory and motor components of the task. Here, we devised a novel version of the vibrotactile frequency discrimination task with saccade responses which has the crucial advantage of decoupling perceptual choices from sensory and motor processes. We recorded human fMRI data from 32 participants while they performed the task. Using a whole‐brain searchlight multivariate classification technique, we identify the left lateral prefrontal cortex and the oculomotor system, including the bilateral frontal eye fields (FEF) and intraparietal sulci, as representing vibrotactile choices. Moreover, we show that the decoding accuracy of choice information in the right FEF correlates with behavioral performance. Not only are these findings in remarkable agreement with previous work, they also provide novel fMRI evidence for choice coding in human oculomotor regions, which is not limited to saccadic decisions, but pertains to contexts where choices are made in a more abstract form.

Related article: http://doi.org/10.1002/hbm.24499

View ID Name Type
View ID Name Type
Field Value
Compact Identifierhttps://identifiers.org/neurovault.collection:3799
Add DateMay 2, 2018, 4:38 p.m.
Uploaded byywu
Contributors
Related article DOI10.1002/hbm.24499
Related article authorsYuan-hao Wu, Lisa A. Velenosi, Pia Schröder, Simon Ludwig and Felix Blankenburg
Citation guidelines

If you use the data from this collection please include the following persistent identifier in the text of your manuscript:

https://identifiers.org/neurovault.collection:3799

This will help to track the use of this data in the literature. In addition, consider also citing the paper related to this collection.