The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Activations in Visual and Attention-Related Areas Predict and Correlate with the Degree of Perceptual Learning
Open accessAbstract
Repeated experience with a visual stimulus can result in improved perception of the stimulus, i.e., perceptual learning. To understand the underlying neural mechanisms of this process, we used functional magnetic resonance imaging to track brain activations during the course of training on a contrast discrimination task. Based on their ability to improve on the task within a single scan session, subjects were separated into two groups: “learners” and “nonlearners.” As learning progressed, learners showed progressively reduced activation in both visual cortex, including Brodmann's areas 18 and 19 and the fusiform gyrus, and several cortical regions associated with the attentional network, namely, the intraparietal sulcus (IPS), frontal eye field (FEF), and supplementary eye field. Among learners, the decrease in brain activations in these regions was highly correlated with the magnitude of performance improvement. Unlike learners, nonlearners showed no changes in brain activations during training. Learners showed stronger activation than nonlearners during the initial period of training in all these brain regions, indicating that one could predict from the initial activation level who would learn and who would not. In addition, over the course of training, the functional connectivity between IPS and FEF in the right hemisphere with early visual areas was stronger for learners than nonlearners. We speculate that sharpened tuning of neuronal representations may cause reduced activation in visual cortex during perceptual learning and that attention may facilitate this process through an interaction of attention-related and visual cortical regions.
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Cited by
Different Dynamics of Performance and Brain Activation in the Time Course of Perceptual Learning
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Cognitive Training for Impaired Neural Systems in Neuropsychiatric Illness
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Individual variability in functional connectivity predicts performance of a perceptual task
Baldassarre, A., Lewis, C. M., Committeri, G., Snyder, A. Z., Romani, G. L., & Corbetta, M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113148109 · Cited by 281
The mechanisms of far transfer from cognitive training: Review and hypothesis.
Greenwood, P. M., & Parasuraman, R. (2016) · Neuropsychology · doi:10.1037/neu0000235 · Cited by 62
On time and space in the brain: A relativistic pseudo-diffusion framework
Le Bihan, D. (2020) · Brain Multiphysics · doi:10.1016/j.brain.2020.100016 · Cited by 30
Metadata
- Authors
- Mukai, I., Kim, D., Fukunaga, M., Japee, S., Marrett, S., & Ungerleider, L. G.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2007-10-17
- Volume
- 27
- Issue
- 42
- Pages
- 11401-11411
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2035762390
- Cited by
- 176
- References
- 11
- FWCI
- 5.41
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Mukai, I., Kim, D., Fukunaga, M., Japee, S., Marrett, S., & Ungerleider, L. G. (2007). Activations in Visual and Attention-Related Areas Predict and Correlate with the Degree of Perceptual Learning. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.3002-07.2007
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