Morphometry of human superficial dorsal and dorsolateral column fibres: significance to spinal cord stimulation

Feirabend, H.K.P.; Choufoer, H.; Ploeger, S.; Holsheimer, J.; Gool, Jan D. van

doi:10.1093/brain/awf111

Cited by 118 publications

(133 citation statements)

References 22 publications

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“…We speculate that such relatively isotropic contributions to the DW signal in WM may partly arise from the water pool within the biggest axons. A tiny but nonnegligible percentage of axons is known to be characterised by large diameters (Feirabend et al, 2002;Häggqvist, 1936;Wesselink et al, 1998) with the tails of the fibre diameter distribution at cervical level extending up to 15 μm and beyond (Makino et al, 1996). These axons, even if not numerous, can make a substantial contribution to the DW signal, given their large size and therefore relatively large volume fraction .…”

Section: Discussionmentioning

confidence: 99%

Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo

et al. 2015

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Here we present the application of neurite orientation dispersion and density imaging (NODDI) to the healthy spinal cord in vivo. NODDI provides maps such as the intra-neurite tissue volume fraction (vin), the orientation dispersion index (ODI) and the isotropic volume fraction (viso), and here we investigate their potential for spinal cord imaging. We scanned five healthy volunteers, four of whom twice, on a 3T MRI system with a ZOOM-EPI sequence. In accordance to the published NODDI protocol, multiple b-shells were acquired at cervical level and both NODDI and diffusion tensor imaging (DTI) metrics were obtained and analysed to: i) characterise differences in grey and white matter (GM/WM); ii) assess the scan-rescan reproducibility of NODDI; iii) investigate the relationship between NODDI and DTI; and iv) compare the quality of fit of NODDI and DTI. Our results demonstrated that: i) anatomical features can be identified in NODDI maps, such as clear contrast between GM and WM in ODI; ii) the variabilities of vin and ODI are comparable to that of DTI and are driven by biological differences between subjects for ODI, have similar contribution from measurement errors and biological variation for vin, whereas viso shows higher variability, driven by measurement errors; iii) NODDI identifies potential sources contributing to DTI indices, as in the brain; and iv) NODDI outperforms DTI in terms of quality of fit. In conclusion, this work shows that NODDI is a useful model for in vivo diffusion MRI of the spinal cord, providing metrics closely related to tissue microstructure, in line with findings in the brain.

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Section: Discussionmentioning

confidence: 99%

Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo

et al. 2015

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“…Thus, these latter would primarily be activated generating segmental paresthesiae at the level of the active electrodesdand this only rarely occurs. 13 The possibility that SCS may inhibit also nociceptive input at segmental spinal level has gained some experimental support by the finding that the stimulation may depress a nociceptive flexor reflex in patients. 14 Electrical stimuli applied to the sural nerve territory induce a contraction of the biceps femoris when the intensity of the stimulation is perceived as a ''pricking'' pain sensation.…”

mentioning

confidence: 99%

Mode of Action of Spinal Cord Stimulation in Neuropathic Pain

Meyerson

Linderoth

2006

Journal of Pain and Symptom Management

141

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Spinal cord stimulation emerged as a spin-off from the classical gate-control theory, which, however, does not suffice to explain its clinical effects. Whether or not nociceptive forms of pain may be attenuated remains a controversial issue. Previous experimental studies aiming at elucidating the underlying mechanisms were performed on intact, anesthetized animals and were therefore of limited clinical relevance.

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“…Another relevant parameter for the implantable nerve electrodes is the fiber density (Feirabend et al, 2002). During the stimulation pulse, the total number of fibers that will be excited could be estimated by the product of the area inside a nerve where the electric field is above the stimulation threshold and the fiber density.…”

Section: Anatomical Parameters Applicable In the Design Of Implantablmentioning

confidence: 99%

Morphometric analysis of the fiber populations of the rat sciatic nerve, its spinal roots, and its major branches

Prodanov¹,

Feierabend²

2007

J of Comparative Neurology

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Correspondence between the nerve composition and the functional characteristics of its fiber populations is not always evident. To investigate such correspondence and to give a systematic picture of the morphology of the rat hind limb nerves, extensive morphometric study was performed on the sciatic nerve, its founding dorsal and ventral spinal roots, and its major branches. Nerve histology was examined in semithin sections via microscopic image analysis. Variation in the density of myelinated fibers, fiber interspace, and nerve cross-sectional area was studied in individual roots and nerves. In the dorsal roots, fiber numbers and cross-sectional areas were directly linearly proportional to the spinal root level number. Constituent fiber populations were identified using multicomponent lognormal models, and an optimal model for every nerve or root was selected by using an information theoretic approach. For the dorsal and ventral roots and the sciatic and peroneal nerves, optimal fiber population models consisted of three components, whereas, for the tibial and sural nerves, two components were optimal. Functional identities of the revealed fiber populations were established by using calculations of corresponding conduction velocities according to Arbuthnott et al. (J. Physiol. [1980] 308:125-157) and anatomical considerations. It is anticipated that morphological parameters established in this study would advance the development of neural prostheses in humans. The proximodistal correspondences among the fiber populations of different nerves were established by parametric statistical comparisons. The proposed approach provides a conceptual framework for understanding the comparative anatomy of the peripheral nerves and spinal roots and can be further applied in other species.

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Morphometry of human superficial dorsal and dorsolateral column fibres: significance to spinal cord stimulation

Cited by 118 publications

References 22 publications

Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo

Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo

Mode of Action of Spinal Cord Stimulation in Neuropathic Pain

Morphometric analysis of the fiber populations of the rat sciatic nerve, its spinal roots, and its major branches

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