Literature DB >> 14627638

Experience-dependent activation patterns in human brain during visual-motor associative learning.

James C Eliassen1, Timothy Souza, Jerome N Sanes.   

Abstract

Multiple brain regions, including parietal and frontal cortical areas, seem to participate in learning and rehearsing associations between spatially defined visual cues and appropriate motor responses. However, because most previous studies have related learning to changes in brain activation according to elapsed time or number of trials but not categories based on performance, it remains unclear how and when areas implicated in learning sensory-motor associations actually participate in the process. The current experiment used functional magnetic resonance imaging to examine changes in brain activation when participants learned to associate an arbitrarily located visual cue with a finger movement. Associative trials were categorized as incorrect, first correct, or subsequent correct. Participants also performed a spatially compatible visual-motor control task. A group analysis revealed four major findings addressing the behavioral processes occurring during forming and rehearsing visual-motor rules. First, brain networks related to processing associative information, through initial learning to rehearsal, yielded more activation in a myriad of neocortical structures than did a simple motor task. Second, we revealed frontal and parietal areas that differentially processed errors and correct responses. Third, we found frontal-parietal networks that seemed to mediate the transition of learning to rehearsing arbitrary visual-motor associations and that this activation exhibited dynamic characteristics. Last, we found a frontal-parietal network that appeared to have a key role in expressing the learned sensory-motor association. The current results provide a foundation for understanding how neocortical structures participate in the various behavioral processes that combine to form and consolidate novel and arbitrary sensory-motor associations.

Entities:  

Mesh:

Year:  2003        PMID: 14627638      PMCID: PMC6740924     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  22 in total

1.  Striatal and medial temporal lobe functional interactions during visuomotor associative learning.

Authors:  Aaron T Mattfeld; Craig E L Stark
Journal:  Cereb Cortex       Date:  2010-08-05       Impact factor: 5.357

2.  Comparison of population activity in the dorsal premotor cortex and putamen during the learning of arbitrary visuomotor mappings.

Authors:  Ethan R Buch; Peter J Brasted; Steven P Wise
Journal:  Exp Brain Res       Date:  2005-11-12       Impact factor: 1.972

3.  Cerebral changes during performance of overlearned arbitrary visuomotor associations.

Authors:  Meike J Grol; Floris P de Lange; Frans A J Verstraten; Richard E Passingham; Ivan Toni
Journal:  J Neurosci       Date:  2006-01-04       Impact factor: 6.167

4.  Modulations of input-output properties of corticospinal tract neurons by repetitive dynamic index finger abductions.

Authors:  Susumu Yahagi; Yusaku Takeda; Zhen Ni; Makoto Takahashi; Toshio Tsuji; Tomoyoshi Komiyama; Masaharu Maruishi; Hiroyuki Muranaka; Tatsuya Kasai
Journal:  Exp Brain Res       Date:  2004-10-19       Impact factor: 1.972

Review 5.  Evidence for a distributed hierarchy of action representation in the brain.

Authors:  Scott T Grafton; Antonia F de C Hamilton
Journal:  Hum Mov Sci       Date:  2007-08-13       Impact factor: 2.161

6.  Role of human premotor dorsal region in learning a conditional visuomotor task.

Authors:  Pranav J Parikh; Marco Santello
Journal:  J Neurophysiol       Date:  2016-11-02       Impact factor: 2.714

7.  The effects of short-term and long-term learning on the responses of lateral intraparietal neurons to visually presented objects.

Authors:  Heida M Sigurdardottir; David L Sheinberg
Journal:  J Cogn Neurosci       Date:  2015-01-29       Impact factor: 3.225

8.  Frontal networks for learning and executing arbitrary stimulus-response associations.

Authors:  Charlotte A Boettiger; Mark D'Esposito
Journal:  J Neurosci       Date:  2005-03-09       Impact factor: 6.167

9.  Corticolimbic mechanisms in the control of trial and error learning.

Authors:  Phan Luu; Matthew Shane; Nikki L Pratt; Don M Tucker
Journal:  Brain Res       Date:  2008-10-14       Impact factor: 3.252

10.  Temporal context and conditional associative learning.

Authors:  Oussama H Hamid; Andreas Wendemuth; Jochen Braun
Journal:  BMC Neurosci       Date:  2010-03-30       Impact factor: 3.288

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