Literature DB >> 22920262

Learning about time: plastic changes and interindividual brain differences.

Domenica Bueti1, Stefano Lasaponara, Mara Cercignani, Emiliano Macaluso.   

Abstract

Learning the timing of rapidly changing sensory events is crucial to construct a reliable representation of the environment and to efficiently control behavior. The neurophysiological mechanisms underlying the learning of time are unknown. We used functional and structural magnetic resonance imaging to investigate neurophysiological changes and individual brain differences underlying the learning of time in the millisecond range. We found that the representation of a trained visual temporal interval was associated with functional and structural changes in a sensory-motor network including occipital, parietal, and insular cortices, plus the cerebellum. We show that both types of neurophysiological changes correlated with changes of performance accuracy and that activity and gray-matter volume of sensorimotor cortices predicted individual learning abilities. These findings represent neurophysiological evidence of functional and structural plasticity associated with the learning of time in humans and highlight the role of sensory-motor circuits in the perceptual representation of time in the millisecond range.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22920262     DOI: 10.1016/j.neuron.2012.07.019

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  30 in total

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2.  Temporal Interval Learning in Cortical Cultures Is Encoded in Intrinsic Network Dynamics.

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3.  Sleep-dependent consolidation benefits fast transfer of time interval training.

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4.  On evidence, biases and confounding factors: Response to commentaries.

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5.  Evidence for the incorporation of temporal duration information in human hippocampal long-term memory sequence representations.

Authors:  Sathesan Thavabalasingam; Edward B O'Neil; Jonathan Tay; Adrian Nestor; Andy C H Lee
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6.  Individual differences in the morphometry and activation of time perception networks are influenced by dopamine genotype.

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7.  Gray matter responsiveness to adaptive working memory training: a surface-based morphometry study.

Authors:  Francisco J Román; Lindsay B Lewis; Chi-Hua Chen; Sherif Karama; Miguel Burgaleta; Kenia Martínez; Claude Lepage; Susanne M Jaeggi; Alan C Evans; William S Kremen; Roberto Colom
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8.  Multiple channels of visual time perception.

Authors:  Aurelio Bruno; Guido Marco Cicchini
Journal:  Curr Opin Behav Sci       Date:  2016-02-19

Review 9.  Efference copy in kinesthetic perception: a copy of what is it?

Authors:  Mark L Latash
Journal:  J Neurophysiol       Date:  2021-02-10       Impact factor: 2.714

10.  Motor commands induce time compression for tactile stimuli.

Authors:  Alice Tomassini; Monica Gori; Gabriel Baud-Bovy; Giulio Sandini; Maria Concetta Morrone
Journal:  J Neurosci       Date:  2014-07-02       Impact factor: 6.167

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