Reorganization of the somatosensory pathway after subacute incomplete cervical cord injury

Qian, Chen; Zheng, Wengang; Chen, Xin; Li, Xuejing; Qin, Wen; Chen, Nan

doi:10.1016/j.nicl.2019.101674

Cited by 21 publications

(29 citation statements)

References 63 publications

(115 reference statements)

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“…Usually, CSM is regarded as a specific form of incomplete spinal cord injury (SCI) (Sharp and Simon, 2005). Many brain studies have reported functional and structural changes in the cortex of patients with CSM, and brain reorganization after SCI has been accepted as the pivotal factor affecting the function and rehabilitation of patients with CSM (Zhou et al, 2014;Chen et al, 2019). Cortical damage or plasticity in the central nervous system has also been suggested to influence the clinical symptoms, manifestations, and functional rehabilitation of patients with CSM (Zhou et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Altered Topological Properties of Brain Structural Covariance Networks in Patients With Cervical Spondylotic Myelopathy

Kuang

Zha

Liu

et al. 2020

Front. Hum. Neurosci.

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Background: Brain structural alterations play an important role in patients with cervical spondylotic myelopathy (CSM). However, while there have been studies on regional brain structural alterations, only few studies have focused on the topological organization of the brain structural covariance network. This work aimed to describe the structural covariance network architecture alterations that are possibly linked to cortex reorganization in patients with CSM. Methods: High-resolution anatomical images of 31 CSM patients and 31 healthy controls (HCs) were included in the study. The images were acquired using a sagittal three-dimensional T1-weighted BRAVO sequence. Firstly, the gray matter volume of 90 brain regions of automated anatomical labeling atlas were computed using a VBM toolbox based on the DARTEL algorithm. Then, the brain structural covariance network was constructed by thresholding the gray matter volume correlation matrices. Subsequently, the network measures and nodal property were calculated based on graph theory. Finally, the differences in the network metrics and nodal property between groups were compared using a non-parametric test. Results: Patients with CSM showed larger global efficiency and smaller local efficiency, clustering coefficient, characteristic path length, and sigma values than HCs. Patients with CSM had greater betweenness in the left superior parietal gyrus (SPG.L) and the left supplementary motor area (SMA.L) than HCs. Besides, patients with CSM had smaller betweenness in right middle occipital gyrus. The brain structural covariance networks of CSM patients exhibited equal resilience to random failure as those of HCs. However, the maximum relative size of giant connected components was approximately 10% larger in HCs than in CSM patients, upon removal of 44 nodes in targeted attack. Conclusion: These observed alternations in global network measures in CSM patients reflect that the brain structural covariance network in CSM exhibits the less optimal small-world model compared to that in HCs. Increased betweenness in SPG.L and

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Section: Introductionmentioning

confidence: 99%

Altered Topological Properties of Brain Structural Covariance Networks in Patients With Cervical Spondylotic Myelopathy

Kuang

Zha

Liu

et al. 2020

Front. Hum. Neurosci.

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“…Three studies reported a range of volumetric changes (54-56). Decreased GMV were observed in the left superior parietal lobule (53), left hippocampus, and superior and middle frontal gyrus (54). Increased GMV of bilateral primary somatosensory cortex (S1), left cuneus (56), and ACC (55) were also observed in SCI subjects without NP compared to healthy controls.…”

Section: Neuroimaging Studies Investigating Sci Subjects With Np Compmentioning

confidence: 90%

Section: Trauma-induced Brain Changes Following Scimentioning

confidence: 99%

“…The presence of NP in SCI subjects were characterized in nine studies with interviews, pain drawings, and questionnaires (55-58, 60-64) ( Table 1). Three studies utilized a visual analog scale (VAS) on the day of MRI acquisition to assess pain; NP assessment was not mentioned (53,54,59). Seven studies characterized pain intensity with a numerical rating scale (NRS) (55-58, 60-64); two of these studies used NRS on the day of MRS acquisition (60,64).…”

Section: Pain Assessments Implemented In Included Articlesmentioning

confidence: 99%

“…In acute and incomplete SCI subjects, Chen et al, observed decreased GMV and WMV of regions involved with spatial cognition, memory function, and visual processing (53,54), which is additionally highlighted by decreases in amplitudes of low-frequency fluctuations within the orbitofrontal cortex and rsFC of the medial visual network (54). These observations could highlight the initial impairment of SCI upon the subjects' movement ability and related brain changes in visuospatial cognitive processing (53,54). Interestingly, in chronic SCI subjects, increased GMV in areas processing vision (cuneus), sensory information (S1) (56), and affectivemotivational/emotional cognition (ACC) was observed (55), whereas decreases in WMV were observed in pathways of projection fibers associated with motor function, i.e., corticospinal tract (56).…”

Section: Trauma-induced Brain Changes Following Scimentioning

confidence: 99%

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Disentangling the Effects of Spinal Cord Injury and Related Neuropathic Pain on Supraspinal Neuroplasticity: A Systematic Review on Neuroimaging

et al. 2020

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Background: Spinal cord injury (SCI) and its accompanying changes of brain structure and function have been widely studied and reviewed. Debilitating chronic neuropathic pain (NP) is reported in 53% of SCI patients, and brain changes have been shown to be involved with the presence of this secondary complication. However, there is yet a synthesis of current studies that investigated brain structure, resting connectivity, and metabolite changes that accompanies this condition. elucidated. Future cross-sectional or longitudinal studies that aim to disentangle NP related to SCI may benefit from stricter constraints in subject cohorts, controlled subgroups, improved pain phenotyping, and implementation of multimodal approaches to discover sensitive biomarkers that profile pain and optimize treatment in SCI subjects with NP.

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Supraspinal nociceptive networks in neuropathic pain after spinal cord injury

Huynh

Lütolf

Rösner

et al. 2021

Human Brain Mapping

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Neuropathic pain following spinal cord injury involves plastic changes along the whole neuroaxis. Current neuroimaging studies have identified grey matter volume (GMV) and resting-state functional connectivity changes of pain processing regions related to neuropathic pain intensity in spinal cord injury subjects. However, the relationship between the underlying neural processes and pain extent, a complementary characteristic of neuropathic pain, is unknown. We therefore aimed to reveal the neural markers of widespread neuropathic pain in spinal cord injury subjects and hypothesized that those with greater pain extent will show higher GMV and stronger connectivity within pain related regions. Thus, 29 chronic paraplegic subjects and 25 healthy controls underwent clinical and electrophysiological examinations combined with neuroimaging. Paraplegics were demarcated based on neuropathic pain and were thoroughly matched demographically. Our findings indicate that (a) spinal cord injury subjects with neuropathic pain display stronger connectivity between prefrontal cortices and regions involved with sensory integration and multimodal processing, (b) greater neuropathic pain extent, is associated with stronger connectivity between the posterior insular cortex and thalamic sub-regions which partake in the lateral pain system and (c) greater intensity of neuropathic pain is related to stronger connectivity of regions involved with multimodal integration and the affective-motivational component of pain. Overall, this study provides neuroimaging evidence that the pain phenotype of spinal cord injury subjects is related to the underlying function of their resting brain.

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Reorganization of the somatosensory pathway after subacute incomplete cervical cord injury

Cited by 21 publications

References 63 publications

Altered Topological Properties of Brain Structural Covariance Networks in Patients With Cervical Spondylotic Myelopathy

Altered Topological Properties of Brain Structural Covariance Networks in Patients With Cervical Spondylotic Myelopathy

Disentangling the Effects of Spinal Cord Injury and Related Neuropathic Pain on Supraspinal Neuroplasticity: A Systematic Review on Neuroimaging

Supraspinal nociceptive networks in neuropathic pain after spinal cord injury

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