Literature DB >> 15703253

The functional anatomy of sleep-dependent visual skill learning.

Matthew P Walker1, Robert Stickgold, Ferenc A Jolesz, Seung-Schik Yoo.   

Abstract

Learning of procedural skills develops gradually, with performance improving significantly with practice. But improvement on some tasks, including a visual texture discrimination task, continues in the absence of further practice, expressly during periods of sleep and not across equivalent waking episodes. Here we report that the brain activation revealed significantly different patterns of performance-related functional activity following a night of sleep relative to 1 h post-training without intervening sleep. When task activation patterns after a night of sleep were compared with activation patterns without intervening sleep (1 h post-training), significant regions of increased signal intensity were observed in the primary visual cortex, the occipital temporal junction, the medial temporal lobe and the inferior parietal lobe. In contrast, a region of decreased signal intensity was found in the right temporal pole. Corroborating these condition differences, correlations between behavioural performance and brain activation revealed significantly different patterns of performance-related functional activity following a night of sleep relative to those without intervening sleep. Together, these data provide evidence of overnight bi-directional changes in functional anatomy, differences that may form the neural basis of sleep-dependent learning expressed on this task.

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Year:  2005        PMID: 15703253     DOI: 10.1093/cercor/bhi043

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  37 in total

1.  Perceptual deterioration is reflected in the neural response: fMRI study of nappers and non-nappers.

Authors:  Sara C Mednick; Sean P A Drummond; A Cyrus Arman; Geoffrey M Boynton
Journal:  Perception       Date:  2008       Impact factor: 1.490

2.  Different dynamics of performance and brain activation in the time course of perceptual learning.

Authors:  Yuko Yotsumoto; Takeo Watanabe; Yuka Sasaki
Journal:  Neuron       Date:  2008-03-27       Impact factor: 17.173

3.  Relationships between the threshold and slope of psychometric and neurometric functions during perceptual learning: implications for neuronal pooling.

Authors:  Joshua I Gold; Chi-Tat Law; Patrick Connolly; Sharath Bennur
Journal:  J Neurophysiol       Date:  2009-10-28       Impact factor: 2.714

Review 4.  Two-stage model in perceptual learning: toward a unified theory.

Authors:  Kazuhisa Shibata; Dov Sagi; Takeo Watanabe
Journal:  Ann N Y Acad Sci       Date:  2014-04-23       Impact factor: 5.691

5.  Reward does not facilitate visual perceptual learning until sleep occurs.

Authors:  Masako Tamaki; Aaron V Berard; Tyler Barnes-Diana; Jesse Siegel; Takeo Watanabe; Yuka Sasaki
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-31       Impact factor: 11.205

Review 6.  About sleep's role in memory.

Authors:  Björn Rasch; Jan Born
Journal:  Physiol Rev       Date:  2013-04       Impact factor: 37.312

Review 7.  Advances in visual perceptual learning and plasticity.

Authors:  Yuka Sasaki; Jose E Nanez; Takeo Watanabe
Journal:  Nat Rev Neurosci       Date:  2009-12-02       Impact factor: 34.870

8.  Location-specific cortical activation changes during sleep after training for perceptual learning.

Authors:  Yuko Yotsumoto; Yuka Sasaki; Patrick Chan; Christos E Vasios; Giorgio Bonmassar; Nozomi Ito; José E Náñez; Shinsuke Shimojo; Takeo Watanabe
Journal:  Curr Biol       Date:  2009-07-02       Impact factor: 10.834

9.  From creation to consolidation: a novel framework for memory processing.

Authors:  Edwin M Robertson
Journal:  PLoS Biol       Date:  2009-01-27       Impact factor: 8.029

10.  Excitatory repetitive transcranial magnetic stimulation to left dorsal premotor cortex enhances motor consolidation of new skills.

Authors:  Lara A Boyd; Meghan A Linsdell
Journal:  BMC Neurosci       Date:  2009-07-07       Impact factor: 3.288

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