Static and Dynamic Changes of Amplitude of Low-Frequency Fluctuations in Cervical Discogenic Pain

Ma, Mingyue; Zhang, Hong; Liu, Huan; Yang, Xiangchun; Yin, Xiaohui; Song, Chen; Wu, Xiaoping

doi:10.3389/fnins.2020.00733

Cited by 12 publications

(13 citation statements)

References 61 publications

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“…The decreased functional connectivities between the middle cingulate cortex and left posterior insula, and left postcentral gyrus were found in CDP patients. Our finding was supported by previous studies which found changed structures and functions in these areas in cervical spondylosis and chronic knee osteoarthritis ( Liao et al, 2018 ; Woodworth et al, 2019 ; Ma et al, 2020 ). The middle cingulate cortex has been reported in pain processing and is considered to be a key region in the pain matrix ( Peyron et al, 2000 ; Favilla et al, 2014 ).…”

Section: Discussionsupporting

confidence: 92%

“…A study using magnetic resonance imaging found that people with neuropathic pain showed reduced GABA in the thalamus ( Henderson et al, 2013 ). The abnormal static and dynamic amplitude of low frequency fluctuations in CDP were also found in our previous study ( Ma et al, 2020 ). All the evidence indicated that the abnormal functional activities or couplings of the insula and thalamus may be a neuromarker for CDP.…”

Section: Discussionsupporting

confidence: 87%

“…To exclude head motion effects, a scrubbing approach was used to cut the bad images before 2 time points and after 1 time point exceeding the pre-set criteria of frame displacement (FD) > 0.5 ( Power et al, 2012 ). All the subjects’ information, resting-state fMRI data acquisition and preprocessing can be found in our previous study ( Ma et al, 2020 ).…”

Section: Methodsmentioning

confidence: 99%

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Abnormal Intrinsic Functional Interactions Within Pain Network in Cervical Discogenic Pain

Zhang

Xia

et al. 2021

Front. Neurosci.

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Cervical discogenic pain (CDP) is mainly induced by cervical disc degeneration. However, how CDP modulates the functional interactions within the pain network remains unclear. In the current study, we studied the changed resting-state functional connectivities of pain network with 40 CDP patients and 40 age-, gender-matched healthy controls. We first defined the pain network with the seeds of the posterior insula (PI). Then, whole brain and seed-to-target functional connectivity analyses were performed to identify the differences in functional connectivity between CDP and healthy controls. Finally, correlation analyses were applied to reveal the associations between functional connectivities and clinical measures. Whole-brain functional connectivity analyses of PI identified increased functional connectivity between PI and thalamus (THA) and decreased functional connectivity between PI and middle cingulate cortex (MCC) in CDP patients. Functional connectivity analyses within the pain network further revealed increased functional connectivities between bilateral PI and bilateral THA, and decreased functional connectivities between left PI and MCC, between left postcentral gyrus (PoCG) and MCC in CDP patients. Moreover, we found that the functional connectivities between right PI and left THA, between left PoCG and MCC were negatively and positively correlated with the visual analog scale, respectively. Our findings provide direct evidence of how CDP modulates the pain network, which may facilitate understanding of the neural basis of CDP.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 87%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Abnormal Intrinsic Functional Interactions Within Pain Network in Cervical Discogenic Pain

Zhang

Xia

et al. 2021

Front. Neurosci.

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“…Recently, using sliding-window approach, the dynamic ALFF (dALFF) method was developed by calculating the variance of ALFF over time (Fu et al, 2018 ). The dALFF has been applied to study the functional activity abnormalities in subjects under disease state and provides some new evidence (Fu et al, 2018 ; Ma et al, 2020 ; Pang et al, 2020 ). Thus, to reveal the dynamic changes of the low-frequency oscillation in migraine patients may provide supplementary information to understand its neural basis.…”

Section: Introductionmentioning

confidence: 99%

Altered Dynamic Amplitude of Low-Frequency Fluctuations in Patients With Migraine Without Aura

Chen

Zhang

et al. 2021

Front. Hum. Neurosci.

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Migraine is a chronic and idiopathic disorder leading to cognitive and affective problems. However, the neural basis of migraine without aura is still unclear. In this study, dynamic amplitude of low-frequency fluctuations (dALFF) analyses were performed in 21 patients with migraine without aura and 21 gender- and age-matched healthy controls to identify the voxel-level abnormal functional dynamics. Significantly decreased dALFF in the bilateral anterior insula, bilateral lateral orbitofrontal cortex, bilateral medial prefrontal cortex, bilateral anterior cingulate cortex, and left middle frontal cortex were found in patients with migraine without aura. The dALFF values in the anterior cingulate cortex were negatively correlated with pain intensity, i.e., visual analog scale. Finally, support vector machine was used to classify patients with migraine without aura from healthy controls and achieved an accuracy of 83.33%, sensitivity of 90.48%, and specificity of 76.19%. Our findings provide the evidence that migraine influences the brain functional activity dynamics and reveal the neural basis for migraine, which could facilitate understanding the neuropathology of migraine and future treatment.

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“…Dynamic local metrics analysis was performed using TDA toolkits based on RESTplus ( Jia et al, 2019 ) (see text footnote 1). The dynamic metrics was calculated using a sliding window method, and it is sensitive in detecting time-dependent variations and examining metrics variability over the whole brain ( Hindriks et al, 2016 ; Yan et al, 2017 ; Fu et al, 2018 ; Ma M. et al, 2020 ). The most important parameter in resting-state dynamic computation is window length.…”

Section: Methodsmentioning

confidence: 99%

The Predictive Value of Dynamic Intrinsic Local Metrics in Transient Ischemic Attack

Huang

et al. 2022

Front. Aging Neurosci.

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BackgroundTransient ischemic attack (TIA) is known as “small stroke.” However, the diagnosis of TIA is currently difficult due to the transient symptoms. Therefore, objective and reliable biomarkers are urgently needed in clinical practice.ObjectiveThe purpose of this study was to investigate whether dynamic alterations in resting-state local metrics could differentiate patients with TIA from healthy controls (HCs) using the support-vector machine (SVM) classification method.MethodsBy analyzing resting-state functional MRI (rs-fMRI) data from 48 patients with and 41 demographically matched HCs, we compared the group differences in three dynamic local metrics: dynamic amplitude of low-frequency fluctuation (d-ALFF), dynamic fractional amplitude of low-frequency fluctuation (d-fALFF), and dynamic regional homogeneity (d-ReHo). Furthermore, we selected the observed alterations in three dynamic local metrics as classification features to distinguish patients with TIA from HCs through SVM classifier.ResultsWe found that TIA was associated with disruptions in dynamic local intrinsic brain activities. Compared with HCs, the patients with TIA exhibited increased d-fALFF, d-fALFF, and d-ReHo in vermis, right calcarine, right middle temporal gyrus, opercular part of right inferior frontal gyrus, left calcarine, left occipital, and left temporal and cerebellum. These alternations in the dynamic local metrics exhibited an accuracy of 80.90%, sensitivity of 77.08%, specificity of 85.37%, precision of 86.05%, and area under curve of 0.8501 for distinguishing the patients from HCs.ConclusionOur findings may provide important evidence for understanding the neuropathology underlying TIA and strong support for the hypothesis that these local metrics have potential value in clinical diagnosis.

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Static and Dynamic Changes of Amplitude of Low-Frequency Fluctuations in Cervical Discogenic Pain

Cited by 12 publications

References 61 publications

Abnormal Intrinsic Functional Interactions Within Pain Network in Cervical Discogenic Pain

Abnormal Intrinsic Functional Interactions Within Pain Network in Cervical Discogenic Pain

Altered Dynamic Amplitude of Low-Frequency Fluctuations in Patients With Migraine Without Aura

The Predictive Value of Dynamic Intrinsic Local Metrics in Transient Ischemic Attack

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