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Learning to optimize perceptual decisions through suppressive interactions in the human brain.
- Source :
-
Nature communications [Nat Commun] 2019 Jan 28; Vol. 10 (1), pp. 474. Date of Electronic Publication: 2019 Jan 28. - Publication Year :
- 2019
-
Abstract
- Translating noisy sensory signals to perceptual decisions is critical for successful interactions in complex environments. Learning is known to improve perceptual judgments by filtering external noise and task-irrelevant information. Yet, little is known about the brain mechanisms that mediate learning-dependent suppression. Here, we employ ultra-high field magnetic resonance spectroscopy of GABA to test whether suppressive processing in decision-related and visual areas facilitates perceptual judgments during training. We demonstrate that parietal GABA relates to suppression of task-irrelevant information, while learning-dependent changes in visual GABA relate to enhanced performance in target detection and feature discrimination tasks. Combining GABA measurements with functional brain connectivity demonstrates that training on a target detection task involves local connectivity and disinhibition of visual cortex, while training on a feature discrimination task involves inter-cortical interactions that relate to suppressive visual processing. Our findings provide evidence that learning optimizes perceptual decisions through suppressive interactions in decision-related networks.
Details
- Language :
- English
- ISSN :
- 2041-1723
- Volume :
- 10
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature communications
- Publication Type :
- Academic Journal
- Accession number :
- 30692533
- Full Text :
- https://doi.org/10.1038/s41467-019-08313-y