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Decoding the direction of imagined visual motion using 7 T ultra-high field fMRI
- Source :
- Neuroimage, Neuroimage, 125, 61-73. Elsevier Science, NeuroImage, 125, 61-73. Academic Press
- Publication Year :
- 2016
- Publisher :
- Academic Press, 2016.
-
Abstract
- There is a long-standing debate about the neurocognitive implementation of mental imagery. One form of mental imagery is the imagery of visual motion, which is of interest due to its naturalistic and dynamic character. However, so far only the mere occurrence rather than the specific content of motion imagery was shown to be detectable. In the current study, the application of multi-voxel pattern analysis to high-resolution functional data of 12 subjects acquired with ultra-high field 7 T functional magnetic resonance imaging allowed us to show that imagery of visual motion can indeed activate the earliest levels of the visual hierarchy, but the extent thereof varies highly between subjects. Our approach enabled classification not only of complex imagery, but also of its actual contents, in that the direction of imagined motion out of four options was successfully identified in two thirds of the subjects and with accuracies of up to 91.3% in individual subjects. A searchlight analysis confirmed the local origin of decodable information in striate and extra-striate cortex. These high-accuracy findings not only shed new light on a central question in vision science on the constituents of mental imagery, but also show for the first time that the specific sub-categorical content of visual motion imagery is reliably decodable from brain imaging data on a single-subject level.<br />Highlights • Four different directions of visual motion can be decoded during imagery at 7 T. • We found very high classification accuracies in single subjects. • High variability between activation patterns and accuracies of different subjects
- Subjects :
- Adult
Male
Ultra-high field MRI
Cognitive Neuroscience
Decoding
Functional magnetic resonance imaging
Motion Perception
050105 experimental psychology
Motion (physics)
Article
03 medical and health sciences
0302 clinical medicine
Neuroimaging
Image Interpretation, Computer-Assisted
medicine
Humans
0501 psychology and cognitive sciences
Computer vision
Motion perception
Visual hierarchy
medicine.diagnostic_test
business.industry
Multi-voxel pattern analysis
05 social sciences
Magnetic Resonance Imaging
Vision science
Neurology
Imagination
Auditory imagery
Female
Artificial intelligence
Visual mental imagery
business
Psychology
030217 neurology & neurosurgery
Mental image
Subjects
Details
- Language :
- English
- ISSN :
- 10959572 and 10538119
- Volume :
- 125
- Database :
- OpenAIRE
- Journal :
- Neuroimage
- Accession number :
- edsair.doi.dedup.....656d670fbf9a2a8c222a6b6994420bfd