Literature DB >> 17515876

Brain representation of active and passive hand movements in children.

Andrea Guzzetta1, Martin Staudt, Elisa Petacchi, Jan Ehlers, Michael Erb, Marko Wilke, Ingeborg Krägeloh-Mann, Giovanni Cioni.   

Abstract

Several functional neuroimaging studies have been performed exploring the sensorimotor function in children with neurologic disorders. However, little is known about normal activation patterns of the sensorimotor system at a young age. We explored brain representation of active and passive hand movements in school-age children and young adults. Nine healthy children (7-15 y) and six adults were studied. Functional magnetic resonance imaging (fMRI) data were acquired on a 1.5-T scanner in block designs. Active movement consisted of repetitive opening and closing of the hand; passive movement consisted of the same movement performed by the examiner. Both hands were assessed separately. The pattern of brain activation (contralateral primary sensorimotor cortex (SMC), ipsilateral cerebellum, supplementary motor area (SMA), and lateral premotor cortex (PMC) was generally more widespread in the adult group, suggesting a developmental course in the organization of both motor and sensory cortex. Surprisingly, no difference was generally detected when contrasting active versus passive tasks. Our results suggest that active and passive hand movements can be used for the exploration of the sensorimotor system in children. Passive and active tasks confirmed to be tightly coupled, thus supporting the idea of the former as a helpful performance-independent paradigm in the study of brain reorganization and presurgical assessment.

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Year:  2007        PMID: 17515876     DOI: 10.1203/pdr.0b013e3180332c2e

Source DB:  PubMed          Journal:  Pediatr Res        ISSN: 0031-3998            Impact factor:   3.756


  20 in total

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Review 2.  [Clinical application of functional MRI for chronic epilepsy].

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Review 3.  Functional MRI in children: clinical and research applications.

Authors:  James L Leach; Scott K Holland
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4.  Distinction of directional coupling in sensorimotor networks between active and passive finger movements using fNIRS.

Authors:  Seung Hyun Lee; Sang Hyeon Jin; Jinung An
Journal:  Biomed Opt Express       Date:  2018-05-31       Impact factor: 3.732

5.  Modeling motor task activation from resting-state fMRI using machine learning in individual subjects.

Authors:  Chen Niu; Alexander D Cohen; Xin Wen; Ziyi Chen; Pan Lin; Xin Liu; Bjoern H Menze; Benedikt Wiestler; Yang Wang; Ming Zhang
Journal:  Brain Imaging Behav       Date:  2021-02       Impact factor: 3.978

6.  Effects of dominant and non-dominant passive arm manoeuvres on the neurovascular coupling response.

Authors:  Osian Llwyd; Ronney B Panerai; Thompson G Robinson
Journal:  Eur J Appl Physiol       Date:  2017-09-05       Impact factor: 3.078

7.  Cerebral blood flow response to neural activation after acute ischemic stroke: a failure of myogenic regulation?

Authors:  Angela S M Salinet; Thompson G Robinson; Ronney B Panerai
Journal:  J Neurol       Date:  2013-07-04       Impact factor: 4.849

8.  Somatosensory system in two types of motor reorganization in congenital hemiparesis: topography and function.

Authors:  Marko Wilke; Martin Staudt; Hendrik Juenger; Wolfgang Grodd; Christoph Braun; Ingeborg Krägeloh-Mann
Journal:  Hum Brain Mapp       Date:  2009-03       Impact factor: 5.038

9.  Cortical Activation Through Passive-Motion Functional MRI.

Authors:  A F Choudhri; R M Patel; A Siddiqui; M T Whitehead; J W Wheless
Journal:  AJNR Am J Neuroradiol       Date:  2015-07-30       Impact factor: 3.825

Review 10.  Transcranial magnetic stimulation in children.

Authors:  Marjorie A Garvey; Volker Mall
Journal:  Clin Neurophysiol       Date:  2008-01-24       Impact factor: 3.708

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