Open AccessResting-state Amplitude of Low-frequency Fluctuation is a Potentially Useful Prognostic Functional Biomarker in Cervical Myelopathy
Author(s) -
Shota Takenaka,
Shigeyuki Kan,
Ben Seymour,
Takahiro Makino,
Yusuke Sakai,
Junichi Kushioka,
Hisashi Tanaka,
Yoshiyuki Watanabe,
Masahiko Shibata,
Hideki Yoshikawa,
Takashi Kaito
Publication year - 2020
Publication title -
clinical orthopaedics and related research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 204
eISSN - 1528-1132
pISSN - 0009-921X
DOI - 10.1097/corr.0000000000001157
Subject(s) - medicine , myelopathy , biomarker , imaging biomarker , cervical vertebrae , resting state fmri , magnetic resonance imaging , radiology , surgery , spinal cord , biochemistry , chemistry , psychiatry
Cervical MRI is the standard diagnostic imaging technique for patients with cervical myelopathy. However, the utility of conventional cervical MRI as a predictive biomarker for surgical recovery remains unclear, partly because of the limited information obtained from this anatomically small area. Brain resting-state functional MRI (rs-fMRI) may help identify candidate predictive biomarkers. Two analytical methods that assess local spontaneous brain activity are widely used for rs-fMRI: functional connectivity between two brain regions and amplitude of low-frequency fluctuation (ALFF). In our previous analysis of functional connectivity, we discovered that brain functional connectivity may be a predictive biomarker for neurologic recovery in patients with cervical myelopathy; however, the functional connectivity analysis identified a correlation with only one clinical outcome (the 10-second test). To establish a comprehensive prediction measure, we need to explore other brain biomarkers that can predict recovery of other clinical outcomes in patients with cervical myelopathy.