Detailed Information on Publication Record
2021
Diffusion magnetic resonance imaging reveals tract-specific microstructural correlates of electrophysiological impairments in non-myelopathic and myelopathic spinal cord compression
VALOSEK, Jan, Rene LABOUNEK, Tomáš HORÁK, Magda HORÁKOVÁ, Petr BEDNAŘÍK et. al.Basic information
Original name
Diffusion magnetic resonance imaging reveals tract-specific microstructural correlates of electrophysiological impairments in non-myelopathic and myelopathic spinal cord compression
Authors
VALOSEK, Jan (203 Czech Republic), Rene LABOUNEK (203 Czech Republic), Tomáš HORÁK (203 Czech Republic, belonging to the institution), Magda HORÁKOVÁ (203 Czech Republic, belonging to the institution), Petr BEDNAŘÍK (203 Czech Republic, belonging to the institution), Miloš KEŘKOVSKÝ (203 Czech Republic, belonging to the institution), Jan KOČICA (203 Czech Republic, belonging to the institution), Tomáš ROHAN (203 Czech Republic, belonging to the institution), Christophe LENGLET, Julien COHEN-ADAD, Petr HLUSTIK (203 Czech Republic), Eva VLČKOVÁ (203 Czech Republic, belonging to the institution), Zdeněk KADAŇKA (203 Czech Republic, belonging to the institution), Josef BEDNAŘÍK (203 Czech Republic, belonging to the institution) and Alena SVÁTKOVÁ (703 Slovakia, belonging to the institution)
Edition
European Journal of Neurology, Oxford, Rapid Science Ltd. 2021, 1351-5101
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30210 Clinical neurology
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 6.288
RIV identification code
RIV/00216224:14110/21:00120165
Organization unit
Faculty of Medicine
UT WoS
000680930200001
Keywords in English
diffusion magnetic resonance imaging; diffusion tensor imaging; spinal cord compression
Tags
International impact, Reviewed
Změněno: 9/10/2024 13:40, Ing. Jana Kuchtová
Abstract
V originále
Background and purpose Non-myelopathic degenerative cervical spinal cord compression (NMDC) frequently occurs throughout aging and may progress to potentially irreversible degenerative cervical myelopathy (DCM). Whereas standard clinical magnetic resonance imaging (MRI) and electrophysiological measures assess compression severity and neurological dysfunction, respectively, underlying microstructural deficits still have to be established in NMDC and DCM patients. The study aims to establish tract-specific diffusion MRI markers of electrophysiological deficits to predict the progression of asymptomatic NMDC to symptomatic DCM. Methods High-resolution 3 T diffusion MRI was acquired for 103 NMDC and 21 DCM patients compared to 60 healthy controls to reveal diffusion alterations and relationships between tract-specific diffusion metrics and corresponding electrophysiological measures and compression severity. Relationship between the degree of DCM disability, assessed by the modified Japanese Orthopaedic Association scale, and tract-specific microstructural changes in DCM patients was also explored. Results The study identified diffusion-derived abnormalities in the gray matter, dorsal and lateral tracts congruent with trans-synaptic degeneration and demyelination in chronic degenerative spinal cord compression with more profound alterations in DCM than NMDC. Diffusion metrics were affected in the C3-6 area as well as above the compression level at C3 with more profound rostral deficits in DCM than NMDC. Alterations in lateral motor and dorsal sensory tracts correlated with motor and sensory evoked potentials, respectively, whereas electromyography outcomes corresponded with gray matter microstructure. DCM disability corresponded with microstructure alteration in lateral columns. Conclusions Outcomes imply the necessity of high-resolution tract-specific diffusion MRI for monitoring degenerative spinal pathology in longitudinal studies.
Links
LM2018140, research and development project |
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NV18-04-00159, research and development project |
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90129, large research infrastructures |
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