Towards prognostic functional brain biomarkers for cervical myelopathy: A resting-state fMRI study

Takenaka, Shota; Kan, Shigeyuki; Seymour, Ben; Makino, Takahiro; Sakai, Yusuke; Kushioka, Junichi; Tanaka, Hisashi; Watanabe, Yoshiyuki; Shibata, Masahiko; Yoshikawa, Hideki; Kaito, Takashi

doi:10.1038/s41598-019-46859-5

Cited by 29 publications

(40 citation statements)

References 37 publications

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“…Moreover, the effects we observed for the increased FC in CSM patients may seem surprising at the first glance. However, this phenomenon (i.e., increased FC and increased network efficiency in CSM patients) has been continually reported in numerous neuroimaging studies of CSM (4,10,26,70). These studies continuously reported increased FC in CSM patients, and this phenomenon has been interpreted as a compensatory or adaptive change due to abnormal ascending or descending signal caused by long-term spinal compression.…”

Section: Increased Functional Connectivity and Dmn Global Efficiency mentioning

confidence: 99%

“…However, emerging evidence suggest that cortical alterations may also be crucial in CSM pathology (4)(5)(6)(7). It has been shown that the cortical alterations can only partly restore after decompression surgery (8,9), and the preoperative neural activities can be used as a potential biomarker to predict surgical outcomes (10). To investigate functional alteration at the brain level in CSM patients, functional magnetic resonance imaging (fMRI), which is a highly effective method for investigating neurological and psychological conditions, has been widely applied (11)(12)(13)(14)(15).…”

Section: Introductionmentioning

confidence: 99%

“…This technique measures blood-oxygenation-level-dependent (BOLD) signals and is used to study brain functional alterations in diseases like Alzheimer's disease (AD), Parkinson's disease (PD), epilepsy, attention-deficit hyperactivity disorder (ADHD), and mood disorders (16)(17)(18)(19)(20)(21)(22)(23). In neuroimaging studies of CSM, fMRI has illuminated functional alterations in motor cortices (4,7,10,24,25). Using resting-state fMRI (rs-fMRI), we have previously identified alterations in functional connectivity in visual cortices that correlate with visual and motor function in CSM patients (26,27).…”

Section: Introductionmentioning

confidence: 99%

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Neural Correlates of Cognitive Dysfunctions in Cervical Spondylotic Myelopathy Patients: A Resting-State fMRI Study

Zhao

et al. 2020

Front. Neurol.

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Cervical spondylotic myelopathy (CSM) is a common disease of the elderly that is characterized by gait instability, sensorimotor deficits, etc. Recurrent symptoms including memory loss, poor attention, etc. have also been reported in recent studies. However, these have been rarely investigated in CSM patients. To investigate the cognitive deficits and their correlation with brain functional alterations, we conducted resting-state fMRI (rs-fMRI) signal variability. This is a novel indicator in the neuroimaging field for assessing the regional neural activity in CSM patients. Further, to explore the network changes in patients, functional connectivity (FC) and graph theory analyses were performed. Compared with the controls, the signal variabilities were significantly lower in the widespread brain regions especially at the default mode network (DMN), visual network, and somatosensory network. The altered inferior parietal lobule signal variability positively correlated with the cognitive function level. Moreover, the FC and the global efficiency of DMN increased in patients with CSM and positively correlated with the cognitive function level. According to the study results, (1) the cervical spondylotic myelopathy patients exhibited regional neural impairments, which correlated with the severity of cognitive deficits in the DMN brain regions, and (2) the increased FC and global efficiency of DMN can compensate for the regional impairment.

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Section: Increased Functional Connectivity and Dmn Global Efficiency mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Neural Correlates of Cognitive Dysfunctions in Cervical Spondylotic Myelopathy Patients: A Resting-State fMRI Study

Zhao

et al. 2020

Front. Neurol.

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“…Previous neuroimaging studies have demonstrated that CSM patients display altered neural activity in the superior frontal gyrus. Takenaka et al observed significantly high functional connectivity between superior frontal and lingue gyrus in (healthy individuals), and surgery substantially improved this phenomenon in CSM patients ( 66 ). In their subsequent study using the same cohort, Takenaka et al found that decompression surgery increased ALFF in the superior frontal gyrus of CSM patients ( 9 ).…”

Section: Discussionmentioning

confidence: 99%

“…Although we observed a significant across-voxel correlation between rCBF and FCS in CSM patients, it was substantially lower than that of healthy patients, implying decoupling between rCBF and FCS in CSM patients. This neurovascular decoupling may have resulted from prolonged neuroinflammation caused by myelopathy (61)(62)(63), in which the abnormally functioning astrocytes in CSM patients may have reduced the regional neural activity and blood supply (62,64,65). Neuroinflammation would have also directly affected the vascular component, leading to neurovascular decoupling in CSM patients.…”

Section: Discussionmentioning

confidence: 99%

Altered Coupling Between Resting-State Cerebral Blood Flow and Functional Connectivity Strength in Cervical Spondylotic Myelopathy Patients

et al. 2021

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Background: Changes in regional neural activity and functional connectivity in cervical spondylotic myelopathy (CSM) patients have been reported. However, resting-state cerebral blood flow (CBF) changes and coupling between CBF and functional connectivity in CSM patients are largely unknown.Methods: Twenty-seven CSM patients and 24 sex/age-matched healthy participants underwent resting-state functional MRI and arterial spin labeling imaging to compare functional connectivity strength (FCS) and CBF between the two groups. The CBF–FCS coupling of the whole gray matter and specific regions of interest was also compared between the groups.Results: Compared with healthy individuals, CBF–FCS coupling was significantly lower in CSM patients. The decrease in CBF–FCS coupling in CSM patients was observed in the superior frontal gyrus, bilateral thalamus, and right calcarine cortex, whereas the increase in CBF–FCS coupling was observed in the middle frontal gyrus. Moreover, low CBF and high FCS were observed in sensorimotor cortices and visual cortices, respectively.Conclusion: In general, neurovascular decoupling at cortical level may be a potential neuropathological mechanism of CSM.

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Unsupervised contrastive graph learning for resting‐state functional MRI analysis and brain disorder detection

Wang,

Chu,

Wang

et al. 2023

Human Brain Mapping

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Resting‐state functional magnetic resonance imaging (rs‐fMRI) helps characterize regional interactions that occur in the human brain at a resting state. Existing research often attempts to explore fMRI biomarkers that best predict brain disease progression using machine/deep learning techniques. Previous fMRI studies have shown that learning‐based methods usually require a large amount of labeled training data, limiting their utility in clinical practice where annotating data is often time‐consuming and labor‐intensive. To this end, we propose an unsupervised contrastive graph learning (UCGL) framework for fMRI‐based brain disease analysis, in which a pretext model is designed to generate informative fMRI representations using unlabeled training data, followed by model fine‐tuning to perform downstream disease identification tasks. Specifically, in the pretext model, we first design a bi‐level fMRI augmentation strategy to increase the sample size by augmenting blood‐oxygen‐level‐dependent (BOLD) signals, and then employ two parallel graph convolutional networks for fMRI feature extraction in an unsupervised contrastive learning manner. This pretext model can be optimized on large‐scale fMRI datasets, without requiring labeled training data. This model is further fine‐tuned on to‐be‐analyzed fMRI data for downstream disease detection in a task‐oriented learning manner. We evaluate the proposed method on three rs‐fMRI datasets for cross‐site and cross‐dataset learning tasks. Experimental results suggest that the UCGL outperforms several state‐of‐the‐art approaches in automated diagnosis of three brain diseases (i.e., major depressive disorder, autism spectrum disorder, and Alzheimer's disease) with rs‐fMRI data.

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Towards prognostic functional brain biomarkers for cervical myelopathy: A resting-state fMRI study

Cited by 29 publications

References 37 publications

Neural Correlates of Cognitive Dysfunctions in Cervical Spondylotic Myelopathy Patients: A Resting-State fMRI Study

Neural Correlates of Cognitive Dysfunctions in Cervical Spondylotic Myelopathy Patients: A Resting-State fMRI Study

Altered Coupling Between Resting-State Cerebral Blood Flow and Functional Connectivity Strength in Cervical Spondylotic Myelopathy Patients

Unsupervised contrastive graph learning for resting‐state functional MRI analysis and brain disorder detection

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