ArticleScientific reports2019
Towards prognostic functional brain biomarkers for cervical myelopathy: A resting-state fMRI study.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Beyond the aging spine - a systematic review of functional changes in the human brain in cervical spondylotic myelopathy.GeroScience · 2024Pooled it
- Brain MRI changes in degenerative cervical myelopathy: a systematic review.EBioMedicine · 2024Pooled it
- Abnormalities of brain structure and function in cervical spondylosis: a multi-modal voxel-based meta-analysis.Frontiers in neuroscience · 2024Pooled it
- Article
- Article
- Alterations in resting-state brain connectivity in patients with cervical spondylotic myelopathy: an fNIRS study.Acta neurochirurgica · 2025Article
- Future perspectives after the guidelines of degenerative cervical myelopathy: A narrative review.Journal of clinical orthopaedics and trauma · 2025Article
- Predictive Value of Preoperative Short Form-36 Survey Scale for Postoperative Axial Neck Pain in Patients With Degenerative Cervical Myelopathy.Global spine journal · 2025Article
- Sex-specific alterations in functional connectivity and network topology in patients with degenerative cervical myelopathy.Scientific reports · 2024Article
- Systematic investigation of cerebellar functional alterations and their association with surgical outcomes in patients with degenerative cervical myelopathy: a resting-state fMRI study.La Radiologia medica · 2024Article
- Resting-state functional magnetic resonance imaging indices are related to electrophysiological dysfunction in degenerative cervical myelopathy.Scientific reports · 2024Article
- Voxel- and tensor-based morphometry with machine learning techniques identifying characteristic brain impairment in patients with cervical spondylotic myelopathy.Frontiers in neurology · 2024Article
- Intra- and inter-network connectivity abnormalities associated with surgical outcomes in degenerative cervical myelopathy patients: a resting-state fMRI study.Frontiers in neurology · 2024Article
- Unsupervised contrastive graph learning for resting-state functional MRI analysis and brain disorder detection.Human brain mapping · 2023Article
- The role of neuronal plasticity in cervical spondylotic myelopathy surgery: functional assessment and prognostic implication.Neurosurgical review · 2023Review
- Clinical and Research MRI Techniques for Assessing Spinal Cord Integrity in Degenerative Cervical Myelopathy-A Scoping Review.Biomedicines · 2022Article
- Functional MRI evidence for primary motor cortex plasticity contributes to the disease's severity and prognosis of cervical spondylotic myelopathy patients.European radiology · 2022Article
- Outcomes of Degenerative Cervical Myelopathy From The Perspective of Persons Living With the Condition: Findings of a Semistructured Interview Process With Partnered Internet Survey.Global spine journal · 2022Article
- Imaging and Electrophysiology for Degenerative Cervical Myelopathy [AO Spine RECODE-DCM Research Priority Number 9].Global spine journal · 2022Article
- A New Framework for Investigating the Biological Basis of Degenerative Cervical Myelopathy [AO Spine RECODE-DCM Research Priority Number 5]: Mechanical Stress, Vulnerability and Time.Global spine journal · 2022Article
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Authors and funding
11 authors.
Funding
Abstract
Recently, there has been increasing interest in strategies to predict neurological recovery in cervical myelopathy (CM) based on clinical images of the cervical spine. In this study, we aimed to explore potential preoperative brain biomarkers that can predict postoperative neurological recovery in CM patients by using resting-state functional magnetic resonance imaging (rs-fMRI) and functional connectivity (FC) analysis. Twenty-eight patients with CM and 28 age- and sex-matched healthy controls (HCs) underwent rs-fMRI (twice for CM patients, before and six months after surgery). A seed-to-voxel analysis was performed, and the following three statistical analyses were conducted: (i) FC comparisons between preoperative CM and HC; (ii) correlation analysis between preoperative FCs and clinical scores; and (iii) postoperative FC changes in CM. Our analyses identified three FCs between the visual cortex and the right superior frontal gyrus based on the conjunction of the first two analyses [(i) and (ii)]. These FCs may act as potential biomarkers for postoperative gain in the 10-second test and might be sufficient to provide a prediction formula for potential recovery. Our findings provide preliminary evidence supporting the possibility of novel predictive measures for neurological recovery in CM using rs-fMRI.
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