Elsevier

Clinical Neurophysiology

Volume 126, Issue 1, January 2015, Pages 140-146
Clinical Neurophysiology

Central Motor Conduction Time and Diffusion Tensor Imaging metrics in children with complex motor disorders

https://doi.org/10.1016/j.clinph.2014.04.005Get rights and content

Highlights

  • Both measurement of Central Motor Conduction Time (CMCT) and Diffusion Weighted Imaging (DWI) may aid with the clinical assessment of children and young people with complex motor disorders.

  • Diffusion Tensor Imaging (DTI) metrics in a group of children with complex motor disorders did not correlate with CMCT, nor were group wise differences in DTI metrics identified when children with normal and abnormal CMCT where compared.

  • Children and young people with acquired dystonia were frequently found to have normal CMCT values.

Abstract

Objectives

To explore potential correlations between Diffusion Tensor Imaging (DTI) metrics and Central Motor Conduction Time (CMCT) in a cohort of children with complex motor disorders.

Methods

For a group of 49 children undergoing assessment for potential Deep Brain Stimulation (DBS) surgery, CMCT was derived from the latency of MEPs invoked by transcranial magnetic stimulation of the contralateral motor cortex and from peripheral conduction times. Tract-Based Spatial Statistics (TBSS) was used to compare Diffusion Tensor Imaging (DTI) metrics between children with normal and abnormal CMCT. TBSS was also used to look for correlations between these metrics and CMCT across the group.

Results

Median age at assessment was 9 years (range 3–19 years). For 14/49 children a diagnosis of primary dystonia had been made. No correlation could be found between DTI metrics and CMCT, with no difference in metrics found between children with normal and abnormal CMCT.

Conclusions

DTI metrics did not differ between children with normal and abnormal CMCT. Tissue properties determining CMCT may not be explained by existing DTI metrics.

Significance

DTI and CMCT measurements provide complementary information for the clinical assessment of children with complex motor disorders.

Introduction

Hypertonic motor disorders in childhood may arise from a diverse range of pathological processes, often affecting more than one motor region of the central nervous system. An important distinction to be made in clinical practise is the relative integrity of the corticospinal tract (CST) in children with hypertonic motor disorders, influencing understanding of the underlying disease process and, more importantly, the choice of clinical intervention (Lin, 2003, Lin, 2011, McClelland et al., 2011). Dystonia and spasticity are often seen coincidently in the child with pathological hypertonicity, particularly in the context of cerebral palsy (Sanger et al., 2003). Clinical evaluation of the child with hypertonia is challenging, and concerns exist that the relative contributions of dystonia and spasticity may be under- and over-estimated respectively (Lin, 2011). Transcranial Magnetic Brain Stimulation (TMS) is a well-established tool for probing the integrity of the CST, and has been used to demonstrate the maturation of Central Motor Conduction Time (CMCT) in children (Eyre et al., 1991, Koh and Eyre, 1988). Prolonged CMCT has been demonstrated in a number of disorders known to affect the CST, including stroke, Multiple Sclerosis (MS) and Motor Neuron Disease (MND) (Berardelli et al., 1991, Heald et al., 1993, Hess et al., 1986). We have previously reported our own experience of using CMCT as a clinical tool for assessing CST integrity in children with dystonia undergoing assessment for deep brain stimulation (DBS), demonstrating normal CMCT time in the majority of patients for whom structural Magnetic Resonance Imaging (MRI) would be suggestive of CST damage (McClelland et al., 2011).

In recent years Diffusion Tensor Imaging (DTI) has become widely used in the investigation of children with movement disorders. DTI exploits the fact that the diffusion of water has different characteristics within different types of brain tissue to provide information about the microstructure of the brain, potentially providing a window into the relationship between structure and function (Le Bihan et al., 2001). Diffusion which is unrestricted and equal in any direction is termed isotropic, whereas diffusion which is restricted more in one plane than another is termed anisotropic. For example, anisotropic diffusion is seen in white matter pathways because water diffuses relatively freely along the longitudinal axis of a coherent axonal bundle, compared with relatively restricted diffusion in a direction perpendicular to this. One commonly used parameter is Fractional Anisotropy (FA), a measure of the directionality of water movement with values from 0 to 1, higher values indicating greater directionality which in turn is thought to reflect the integrity of white matter pathways. DTI has considerably advanced our understanding of the pathophysiology in cerebral palsy, and in particular the relative contributions of disruptions to motor and sensory pathways (Scheck et al., 2012). In the context of MND correlations have been demonstrated between the severity of motor disability, increasing delay in CMCT and reduction in FA (Ellis et al., 1999, Iwata et al., 2008, Mitsumoto et al., 2007, Sach et al., 2004). Taken together, these and other studies raise the possibility that FA could potentially be used as a biomarker for CST integrity.

Only one reported study to date has investigated possible correlations between DTI metrics and CMCT in healthy subjects, finding no areas of correlation (Hübers et al., 2012). This study applied a voxelwise approach, utilising Tract Based Spatial Statistics (TBSS) (Smith et al., 2006) to explore possible relationships between DTI metrics and a number of TMS measures, concluding that FA alone may be a poor marker of the biophysical tissue properties underlying CMCT.

We aimed to explore the relationship between CMCT and DTI metrics in a sample of children with motor disorders undergoing assessment for DBS. We utilised a TBSS approach, including FA and other DTI metrics, namely Mean Diffusivity (MD), Radial Diffusivity (RD) and Axial Diffusivity (PD).

Section snippets

Methods

A retrospective analysis was performed, using data collected during the routine clinical assessment of 49 children with complex motor disorders undergoing assessment for possible DBS surgery. These children currently undergo MRI, including diffusion weighted imaging (DWI) sequences, and CMCT in order to assess the integrity of the corticospinal tract, given that evidence of significant CST dysfunction would be considered a contraindication to DBS.

Inclusion criteria for cases involved in this

CMCT findings

OF the 49 children, 28 (57%) had normal CMCT to the right upper limb. The “abnormal” CMCT group, n = 21, comprised 14 children (29%) with prolonged CMCT and 7 children (14%) in whom no MEP was elicited. These children were collectively considered in the “abnormal” CMCT group. Median age at assessment was lower in the “abnormal” compared to “normal” CMCT groups (7 years versus 10 years, Mann–Whitney U-test P = 0.006). The median age at assessment was lower in children from whom an MEP could not be

Discussion

We aimed to determine whether differences in DTI metrics could be identified between children with normal or abnormal CMCT, or if any regions of white matter could be found which showed correlations between CMCT and DTI metrics. We found no such relationship. These findings are consistent with those of Hübers et al. (2012), who studied DTI and CMCT in healthy adults, although the authors suggested that the narrow range of CMCT values within that healthy cohort could account for the failure to

Conclusions

We identified no relationship between DTI metrics and CMCT in a mixed population of children with motor disorders undergoing assessment for DBS. This finding may relate to heterogeneity within the clinical group, though it also may be due to the inability of the Diffusion Tensor model to measure the biophysical properties of the CST fibres activated by TMS. CMCT measurement appears to provide information regarding integrity of the CST within this group which may not be provided by DTI

Acknowledgments

The Complex Motor Disorder Team is supported a Grant from the Guy’s and St Thomas’ Charity, project number G060708. Dr. D. Lumsden and Dr. J.-P. Lin have received support for this work from Grants from Action Medical Research (Grant number GN2097) and the Dystonia Society. Dr. Verity McClelland is in receipt of a Walport Clinical Lectureship funded by NIHR. These data have been reported in brief at the Joint scientific meeting of the British Society of Clinical Neurophysiology and the Société

References (44)

  • S.M. Smith et al.

    Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference

    Neuroimage

    (2009)
  • A.L. Alexander et al.

    Analysis of partial volume effects in diffusion-tensor MRI

    Magn Reson Med

    (2001)
  • S.B. Bressman

    Dystonia genotypes, phenotypes, and classification

    Adv Neurol

    (2004)
  • D. Burke et al.

    Direct comparison of corticospinal volleys in human subjects to transcranial magnetic and electrical stimulation

    J Physiol

    (1993)
  • G. Cheung et al.

    Amyotrophic lateral sclerosis: correlation of clinical and MR imaging findings

    Radiology

    (1995)
  • S.J. Counsell et al.

    Specific relations between neurodevelopmental abilities and white matter microstructure in children born preterm

    Brain

    (2008)
  • B.L. Day et al.

    Electric and magnetic stimulation of human motor cortex: surface EMG and single motor unit responses

    J Physiol

    (1989)
  • C.M. Ellis et al.

    Diffusion tensor MRI assesses corticospinal tract damage in ALS

    Neurology

    (1999)
  • J.A. Eyre et al.

    Constancy of central conduction delays during development in man: investigation of motor and somatosensory pathways

    J Physiol

    (1991)
  • S. Farquharson et al.

    White matter fiber tractography: why we need to move beyond DTI

    J Neurosurg

    (2013)
  • A. Heald et al.

    Longitudinal study of central motor conduction time following stroke. 1. Natural history of central motor conduction

    Brain

    (1993)
  • N.K. Iwata et al.

    Evaluation of corticospinal tracts in ALS with diffusion tensor MRI and brainstem stimulation

    Neurology

    (2008)
  • Cited by (13)

    • Gross motor function outcomes following deep brain stimulation for childhood-onset dystonia: A descriptive report

      2019, European Journal of Paediatric Neurology
      Citation Excerpt :

      Disturbances in basal ganglia anatomy may compromise lead placement, even with the use of microelectrode recording and postoperative MR imaging,13 resulting in technically sub-optimal delivery of DBS.43 It is also possible that functional-structural re-arrangement of neural networks (i.e. inadequate connectivity within the cerebellar-basal-ganglia-thalamo-cortical loops44 and issues with integrity of sensory pathways compromising sensory feedback following DBS14), and/or cellular dysmaturation,45 may confer reduced responsiveness to DBS in this patient group, while the molecular level impact of genetic mutations on neuronal function are being increasingly recognised.46 These numerous factors may potentially predispose to a disappointing motor response or it may be that a longer period is required before DBS confers gross motor function gains.

    • Somatosensory Evoked Potentials and Central Motor Conduction Times in children with dystonia and their correlation with outcomes from Deep Brain Stimulation of the Globus pallidus internus

      2018, Clinical Neurophysiology
      Citation Excerpt :

      Appropriate family counselling is essential to manage expectations before a child undergoes functional neurosurgery, which is not without risk (Kaminska et al., 2017, Moro, 2016), but predictive markers of DBS outcomes in acquired and complex dystonias are lacking (Koy and Timmermann, 2017). Although structural imaging abnormalities on cranial MRI are generally associated with less benefit from DBS (Eltahawy et al., 2004; Romito et al., 2015), outcomes still vary widely, regardless of whether MRI is normal or abnormal (Zorzi et al., 2005; Krause et al., 2006; Vidailhet et al., 2009); imaging evidence of structural abnormality does not necessarily correlate with function (Lumsden et al., 2015). Somatosensory Evoked Potentials (SEPs) and Central Motor Conduction Times (CMCT) have been performed in all children being assessed for possible DBS within our service since 2009 and 2007 respectively, to provide objective evidence of sensory and motor pathway function.

    • Clinical presentation and management of dyskinetic cerebral palsy

      2017, The Lancet Neurology
      Citation Excerpt :

      The current description of DCP might not be relevant to a pathophysiological explanation of the motor manifestations; therefore, it may be necessary to define several motor phenotypes. Diffusion tensor imaging provides information about connectivity and might help to predict the likelihood of responsiveness to DBS.42 Electrophysiological assessment, including transcranial magnetic stimulation,43 central motor conduction time44 and somatosensory evoked potentials,45,46 might also contribute towards diagnosis and management of DCP.

    • The International Classification of Functioning (ICF) to evaluate deep brain stimulation neuromodulation in childhood dystonia-hyperkinesia informs future clinical & research priorities in a multidisciplinary model of care

      2017, European Journal of Paediatric Neurology
      Citation Excerpt :

      We present a comprehensive scheme for approaching movement disorders in children, including dystonia and choreoathetosis of necessity originating from many disparate aetiologies. Searching for common themes has helped us as a clinical group, to define core issues relating to refinement of the phenotype with neurophysiological,62,141 radiological63,142,143 and functional metabolic144 assessments respectively. These approaches help us understand the physiological context of dystonia and contribute to patient-selection for DBS and also allow interpretation of outcomes, which further refines the selection iteration process.

    • Deep Brain Stimulation in Children: Clinical Considerations.

      2016, Pediatric Brain Stimulation: Mapping and Modulating The Developing Brain
    View all citing articles on Scopus
    View full text