“…Furthermore, several studies attempted to predict postoperative recovery by using preoperative indices of brain activity in patients with DCM. These studies focused on the sensorimotor areas, subcortical regions, limbic system, and the visual cortex 33 , 34 , 37 , 40 and showed that spontaneous brain activity in these brain regions was related to the pathology of DCM 30 – 32 , thus suggesting that rs-fMRI can potentially reveal the pathophysiological mechanism of DCM.…”
The age-related degenerative pathologies of the cervical spinal column that comprise degenerative cervical myelopathy (DCM) cause myelopathy due spinal cord compression. Functional neurological assessment of DCM can potentially reveal the severity and pathological mechanism of DCM. However, functional assessment by conventional MRI remains difficult. This study used resting-state functional MRI (rs-fMRI) to investigate the relationship between functional connectivity (FC) strength and neurophysiological indices and examined the feasibility of functional assessment by FC for DCM. Preoperatively, 34 patients with DCM underwent rs-fMRI scans. Preoperative central motor conduction time (CMCT) reflecting motor functional disability and intraoperative somatosensory evoked potentials (SEP) reflecting sensory functional disability were recorded as electrophysiological indices of severity of the cervical spinal cord impairment. We performed seed-to-voxel FC analysis and correlation analyses between FC strength and the two electrophysiological indices. We found that FC strength between the primary motor cortex and the precuneus correlated significantly positively with CMCT, and that between the lateral part of the sensorimotor cortex and the lateral occipital cortex also showed a significantly positive correlation with SEP amplitudes. These results suggest that we can evaluate neurological and electrophysiological severity in patients with DCM by analyzing FC strengths between certain brain regions.
“…Furthermore, several studies attempted to predict postoperative recovery by using preoperative indices of brain activity in patients with DCM. These studies focused on the sensorimotor areas, subcortical regions, limbic system, and the visual cortex 33 , 34 , 37 , 40 and showed that spontaneous brain activity in these brain regions was related to the pathology of DCM 30 – 32 , thus suggesting that rs-fMRI can potentially reveal the pathophysiological mechanism of DCM.…”
The age-related degenerative pathologies of the cervical spinal column that comprise degenerative cervical myelopathy (DCM) cause myelopathy due spinal cord compression. Functional neurological assessment of DCM can potentially reveal the severity and pathological mechanism of DCM. However, functional assessment by conventional MRI remains difficult. This study used resting-state functional MRI (rs-fMRI) to investigate the relationship between functional connectivity (FC) strength and neurophysiological indices and examined the feasibility of functional assessment by FC for DCM. Preoperatively, 34 patients with DCM underwent rs-fMRI scans. Preoperative central motor conduction time (CMCT) reflecting motor functional disability and intraoperative somatosensory evoked potentials (SEP) reflecting sensory functional disability were recorded as electrophysiological indices of severity of the cervical spinal cord impairment. We performed seed-to-voxel FC analysis and correlation analyses between FC strength and the two electrophysiological indices. We found that FC strength between the primary motor cortex and the precuneus correlated significantly positively with CMCT, and that between the lateral part of the sensorimotor cortex and the lateral occipital cortex also showed a significantly positive correlation with SEP amplitudes. These results suggest that we can evaluate neurological and electrophysiological severity in patients with DCM by analyzing FC strengths between certain brain regions.
“…Healthy controls (HCs) were used as a comparator in 79% (37/47) of studies. Of the remaining 21% (10/47) of studies, three studies compared post-surgical against pre-surgical patients with DCM, 27 , 43 , 63 one compared patients with DCM to those with asymptomatic spinal cord compression, 40 one compared patients with DCM to patients with cervical radiculopathy, 25 three studies compared patients with DCM by either visual analogue scale (VAS) recovery, 31 presence of depression, 45 or motor evoked potentials (MEPs), 46 and two studies used no comparators. 29 , 50 In addition to comparing patients with DCM to HCs, Wu et al.…”
Section: Resultsmentioning
confidence: 99%
“…A total of 36 studies explored functional changes in 1200 patients with DCM before surgical intervention ( Supplementary Data 6 ). Of these, 19 assessed FC, 21 , 23 , 24 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 nine assessed activation/VOA, 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 eight assessed ALFF, 21 , 39 , 44 , 55 , 56 , 57 , 58 , 59 five utilised graph theory analysis, 30 , 40 , 41 , 60 , 61 three assessed BOLD signal changes, 30 , 47 , 50 and three assessed ReHo. 21 , 39 , 62 Functional changes in anatomical brain regions of 73% (871/1200) of patients with DCM were compared against HCs and mapped onto the Desikan-Killiany atlas ( Fig.…”
Section: Resultsmentioning
confidence: 99%
“…A total of 16 studies explored functional changes in 286 patients with DCM after surgical intervention ( Supplementary Data 9 ). Six assessed FC, 24 , 31 , 32 , 33 , 38 , 43 eight assessed activation/VOA, 46 , 47 , 48 , 49 , 51 , 52 , 53 , 54 one assessed ALFF, 55 one assessed BOLD signal changes, 47 and one assessed ReHo. 62 Functional changes in anatomical brain regions of 85% (244/286) of post-surgical patients with DCM were compared against pre-surgical patients with DCM and mapped onto the Desikan-Killiany atlas ( Fig.…”
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