Background. Retinal nerve fiber layer thickness and total macular volume (TMV) represent markers of neuroaxonal degeneration within the anterior visual pathway that might correlate with ambulation in persons with multiple sclerosis (MS). Objective. This study examined the associations between and TMV with ambulatory parameters in MS. Methods. Fifty-eight MS patients underwent a neurological examination for generation of an expanded disability status scale (EDSS) score and measurement of and TMV using optical coherence tomography (OCT). Participants completed the 6-minute walk (6MW) and the timed 25-foot walk (T25FW). The associations were examined using generalized estimating equation models that accounted for within-patient, inter-eye correlations, and controlled for disease duration, EDSS score, and age. Results. was not significantly associated with 6MW or T25FW . TMV was significantly associated with 6MW and T25FW . The coefficients indicated that unit differences in 6MW (100 feet) and T25FW (1 second) were associated with 0.040 and ?0.048 unit differences in TMV (mm3), respectively. Conclusion. Integrity of the anterior visual pathway, particularly TMV, might represent a noninvasive measure of neuroaxonal degeneration that is correlated with ambulatory function in MS. 1. Introduction The anterior visual pathway (i.e., retina, optic nerves, chiasm, and optic tracts) represents a valuable model for understanding axonal and neuronal loss and clinical and functional correlates in persons with multiple sclerosis (MS) [1]. This pathway, particularly the optic nerve, is often affected by the MS pathological disease processes given its proximity with the vasculature around the ventricles of the brain [2]. The integrity of the anterior visual pathway can be noninvasively imaged using optical coherence tomography (OCT) of the retina. OCT provides metrics of retinal nerve fiber layer thickness (RNFLT) and total macular volume (TMV). RNFLT reflects the integrity of nonmyelinated axonal tissue, whereas TMV reflects the integrity of nonmyelinated axonal tissue as well as all retinal layers including cellular segments [3]. We further note that RNFLT and TMV have been associated with lesion volume and brain atrophy metrics from magnetic resonance imaging in persons with MS [4–6]. This is important as imaging the anterior visual pathway may provide a correlate of the clinical and functional consequences of axonal and neuronal loss in MS. The integrity of the anterior visual pathway might be associated with walking function in persons with MS. Visual and ambulatory
References
[1]
K. M. Galetta, P. A. Calabresi, E. M. Frohman, and L. J. Balcer, “Optical coherence tomography (OCT): imaging the visual pathway as a model for neurodegeneration,” Neurotherapeutics, vol. 8, no. 1, pp. 117–132, 2011.
[2]
C. Schmitt, N. Strazielle, and J. F. Ghersi-Egea, “Brain leukocyte infiltration initiated by peripheral inflammation or experimental autoimmune encephalomyelitis occurs through pathways connected to the CSF-filled compartments of the forebrain and midbrain,” Journal of Neuroinflammation, vol. 9, article 187, 2012.
[3]
T. Oberwahrenbrock, S. Schippling, M. Ringelstein, et al., “Retinal damage in multiple sclerosis disease subtypes measured by high-resolution optical coherence tomography,” Multiple Sclerosis International, vol. 2012, Article ID 530305, 10 pages, 2012.
[4]
J. D?rr, K. D. Wernecke, M. Bock et al., “Association of retinal and macular damage with brain atrophy in multiple sclerosis,” PLoS One, vol. 6, no. 4, Article ID e18132, 2011.
[5]
E. M. Frohman, M. G. Dwyer, T. Frohman et al., “Relationship of optic nerve and brain conventional and non-conventional MRI measures and retinal nerve fiber layer thickness, as assessed by OCT and GDx: a pilot study,” Journal of the Neurological Sciences, vol. 282, no. 1-2, pp. 96–105, 2009.
[6]
M. Siger, K. Dzi?gielewski, L. Jasek et al., “Optical coherence tomography in multiple sclerosis: thickness of the retinal nerve fiber layer as a potential measure of axonal loss and brain atrophy,” Journal of Neurology, vol. 255, no. 10, pp. 1555–1560, 2008.
[7]
C. Heesen, J. B?hm, C. Reich, J. Kasper, M. Goebel, and S. M. Gold, “Patient perception of bodily functions in multiple sclerosis: gait and visual function are the most valuable,” Multiple Sclerosis, vol. 14, no. 7, pp. 988–991, 2008.
[8]
A. Compston and A. Coles, “Multiple sclerosis,” The Lancet, vol. 372, no. 9648, pp. 1502–1517, 2008.
[9]
O. R. Pearson, M. E. Busse, R. W. M. van Deursen, and C. M. Wiles, “Quantification of walking mobility in neurological disorders,” QJM, vol. 97, no. 8, pp. 463–475, 2004.
[10]
A. Petzold, J. F. de Boer, S. Schippling et al., “Optical coherence tomography in multiple sclerosis: a systematic review and meta-analysis,” The Lancet Neurology, vol. 9, no. 9, pp. 921–932, 2010.
[11]
M. D. Goldman, R. W. Motl, and R. A. Rudick, “Possible clinical outcome measures for clinical trials in patients with multiple sclerosis,” Therapeutic Advances in Neurological Disorders, vol. 3, no. 4, pp. 229–239, 2010.
[12]
J. Toledo, J. Sepulcre, A. Salinas-Alaman et al., “Retinal nerve fiber layer atrophy is associated with physical and cognitive disability in multiple sclerosis,” Multiple Sclerosis, vol. 14, no. 7, pp. 906–912, 2008.
[13]
E. Gordon-Lipkin, B. Chodkowski, D. S. Reich et al., “Retinal nerve fiber layer is associated with brain atrophy in multiple sclerosis,” Neurology, vol. 69, no. 16, pp. 1603–1609, 2007.
[14]
R. W. Motl, “Ambulation and multiple sclerosis,” Physical Medicine and Rehabilitation Clinics of North America, vol. 24, no. 2, pp. 325–336, 2013.
[15]
F. Barkhof, P. A. Calabresi, D. H. Miller, and S. C. Reingold, “Imaging outcomes for neuroprotection and repair in multiple sclerosis trials,” Nature Reviews Neurology, vol. 5, no. 5, pp. 256–266, 2009.
[16]
S. Rossi, R. Furlan, V. de Chiara et al., “Exercise attenuates the clinical, synaptic and dendritic abnormalities of experimental autoimmune encephalomyelitis,” Neurobiology of Disease, vol. 36, no. 1, pp. 51–59, 2009.
[17]
C. Hessen, A. Romberg, S. Gold, and K.-H. Schulz, “Physical exercise in multiple sclerosis: supportive care or a putative disease-modifying treatment,” Expert Review of Neurotherapeutics, vol. 6, no. 3, pp. 347–355, 2006.
[18]
B. C. Kieseier and C. Pozzilli, “Assessing walking disability in multiple sclerosis,” Multiple Sclerosis, vol. 18, no. 7, pp. 914–924, 2012.
[19]
M. D. Goldman, R. A. Marrie, and J. A. Cohen, “Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls,” Multiple Sclerosis, vol. 14, no. 3, pp. 383–390, 2008.
[20]
R. W. Motl, D. Dlugonski, Y. Suh, M. Weikert, B. Fernhall, and M. Goldman, “Accelerometry and its association with objective markers of walking limitations in ambulatory adults with multiple sclerosis,” Archives of Physical Medicine and Rehabilitation, vol. 91, no. 12, pp. 1942–1947, 2010.
[21]
J. S. Fischer, R. A. Rudick, G. R. Cutter, and S. C. Reingold, “The Multiple Sclerosis Functional Composite Measure (MSFC): an integrated approach to MS clinical outcome assessment. National MS Society Clinical Outcomes Assessment Task Force,” Multiple Sclerosis, vol. 5, no. 4, pp. 244–250, 1999.
[22]
J. F. Kurtzke, “Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS),” Neurology, vol. 33, no. 11, pp. 1444–1452, 1983.
[23]
B. M. Burkholder, B. Osborne, M. J. Loguidice et al., “Macular volume determined by optical coherence tomography as a measure of neuronal loss in multiple sclerosis,” Archives of Neurology, vol. 66, no. 11, pp. 1366–1372, 2009.
[24]
R. Phan-Ba, P. Calay, P. Grodent et al., “Motor fatigue measurement by distance-induced slow down of walking speed in multiple sclerosis,” PLoS One, vol. 7, no. 4, Article ID e34744, 2012.
[25]
P. Albrecht, R. Fr?hlich, H.-P. Hartung, B. C. Kieseier, and A. Methner, “Optical coherence tomography measures axonal loss in multiple sclerosis independently of optic neuritis,” Journal of Neurology, vol. 254, no. 11, pp. 1595–1596, 2007.