Literature DB >> 20051230

Changes in regional activity are accompanied with changes in inter-regional connectivity during 4 weeks motor learning.

Liangsuo Ma1, Binquan Wang, Shalini Narayana, Eliot Hazeltine, Xiying Chen, Donald A Robin, Peter T Fox, Jinhu Xiong.   

Abstract

Structural equation modeling (SEM) and fMRI were used to test whether changes in the regional activity are accompanied by changes in the inter-regional connectivity as motor practice progresses. Ten healthy subjects were trained to perform finger movement task daily for 4 weeks. Three sessions of fMRI images were acquired within 4 weeks. The changes in inter-regional connectivity were evaluated by measuring the effective connectivity between the primary motor area (M1), supplementary motor area (SMA), dorsal premotor cortex (PMd), basal ganglia (BG), cerebellum (CB), and posterior ventrolateral prefrontal cortex (pVLPFC). The regional activities in M1 and SMA increased from pre-training to week 2 and decreased from week 2 to week 4. The inter-regional connectivity generally increased in strength (with SEM path coefficients becoming more positive or negative) as practice progressed. The increases in the strength of the inter-regional connectivity may reflect long-term reorganization of the skilled motor network. We suggest that the performance gain was achieved by dynamically tuning the inter-regional connectivity in the motor network. Copyright 2009 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20051230      PMCID: PMC2826520          DOI: 10.1016/j.brainres.2009.12.073

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  87 in total

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4.  Activity and effective connectivity of parietal and occipital cortical regions during haptic shape perception.

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Review 5.  Principle of structural equation modeling for exploring functional interactivity within a putative network of interconnected brain areas.

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  53 in total

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3.  Changes occur in resting state network of motor system during 4 weeks of motor skill learning.

Authors:  Liangsuo Ma; Shalini Narayana; Donald A Robin; Peter T Fox; Jinhu Xiong
Journal:  Neuroimage       Date:  2011-06-15       Impact factor: 6.556

4.  Taking the brakes off the learning curve.

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5.  Age-related differences in practice-dependent resting-state functional connectivity related to motor sequence learning.

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6.  Structure of plasticity in human sensory and motor networks due to perceptual learning.

Authors:  Shahabeddin Vahdat; Mohammad Darainy; David J Ostry
Journal:  J Neurosci       Date:  2014-02-12       Impact factor: 6.167

7.  Depicting the inner and outer nose: the representation of the nose and the nasal mucosa on the human primary somatosensory cortex (SI).

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8.  Brain aerobic glycolysis and motor adaptation learning.

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9.  Brain changes following four weeks of unimanual motor training: Evidence from behavior, neural stimulation, cortical thickness, and functional MRI.

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10.  Learning strategy refinement reverses early sensory cortical map expansion but not behavior: Support for a theory of directed cortical substrates of learning and memory.

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Journal:  Neurobiol Learn Mem       Date:  2015-10-24       Impact factor: 2.877

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