Dynamic changes of amplitude of low-frequency in systemic lupus erythematosus patients with cognitive impairment

Yang, Yifan; Zhao, Ruotong; Zhang, Fengrui; Bai, Ru; Li, Shu; Cui, Ruomei; Liu, Shuang; Xu, Jian

doi:10.3389/fnins.2022.929383

Cited by 4 publications

(2 citation statements)

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“…This sALFF can reflect cerebral blood flow or the intensity of brain functional activity in that brain region, and a decrease in sALFF is generally associated with impaired brain activity [27]. We observed a decrease in sALFF values in the fusiform gyrus and occipital middle gyrus of COVID-19 patients compared to healthy volunteers, suggesting potential disruption of local information processing within the visual network of COVID-19 patients.…”

Section: Discussionmentioning

confidence: 99%

Altered dynamic and static brain activity and functional connectivity in COVID-19 patients: a preliminary study

Han,

He,

et al. 2024

NeuroReport

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This study aimed to investigate the effects of COVID-19 on brain functional activity through resting-state functional MRI (rs-fMRI). fMRI scans were conducted on a cohort of 42 confirmed COVID-19-positive patients and 46 healthy controls (HCs) to assess brain functional activity. A combination of dynamic and static amplitude of low-frequency fluctuations (dALFF/sALFF) and dynamic and static functional connectivity (dFC/sFC) was used for evaluation. Abnormal brain regions identified were then used as feature inputs in the model to evaluate support vector machine (SVM) capability in recognizing COVID-19 patients. Moreover, the random forest (RF) model was employed to verify the stability of SVM diagnoses for COVID-19 patients. Compared to HCs, COVID-19 patients exhibited a decrease in sALFF in the right lingual gyrus and the left medial occipital gyrus and an increase in dALFF in the right straight gyrus. Moreover, there was a decline in sFC between both lingual gyri and the right superior occipital gyrus and a reduction in dFC with the precentral gyrus. The dynamic and static combined ALFF and FC could distinguish between COVID-19 patients and the HCs with an accuracy of 0.885, a specificity of 0.818, a sensitivity of 0.933 and an area under the curve of 0.909. The combination of dynamic and static ALFF and FC can provide information for detecting brain functional abnormalities in COVID-19 patients.

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Section: Discussionmentioning

confidence: 99%

Altered dynamic and static brain activity and functional connectivity in COVID-19 patients: a preliminary study

Han,

He,

et al. 2024

NeuroReport

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show abstract

“…This present study conducted additional experiments (30 time frames and 80 time frames) to verify that the impact of different sliding window sizes on the experimental results; these results differed only slightly. Fifty time frames met the criterion of the minimum length less than 1/f min (52); thus, it is more frequently used in similar studies ( Li et al, 2020 ; Ma et al, 2020 ; Yang et al, 2022 ). Third, the reproducibility of predictive models is an unavoidable issue ( Woo et al, 2017 ).…”

Section: Discussionmentioning

confidence: 99%

Changes in dynamic and static brain fluctuation distinguish minimal hepatic encephalopathy and cirrhosis patients and predict the severity of liver damage

Jiang

Liu

et al. 2023

Front. Neurosci.

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PurposeMinimal hepatic encephalopathy (MHE) is characterized by mild neuropsychological and neurophysiological alterations that are not detectable by routine clinical examination. Abnormal brain activity (in terms of the amplitude of low-frequency fluctuation (ALFF) has been observed in MHE patients. However, little is known concerning temporal dynamics of intrinsic brain activity. The present study aimed to investigate the abnormal dynamics of brain activity (dynamic ALFF; dALFF) and static measures [static ALFF; (sALFF)] in MHE patients and to strive for a reliable imaging neuromarkers for distinguishing MHE patients from cirrhosis patients. In addition, the present study also investigated whether intrinsic brain activity predicted the severity of liver damage.MethodsThirty-four cirrhosis patients with MHE, 28 cirrhosis patients without MHE, and 33 age-, sex-, and education-matched healthy controls (HCs) underwent resting-state magnetic resonance imaging (rs-fMRI). dALFF was estimated by combining the ALFF method with the sliding-window method, in which temporal variability was quantized over the whole-scan timepoints and then compared among the three groups. Additionally, dALFF, sALFF and both two features were utilized as classification features in a support vector machine (SVM) to distinguish MHE patients from cirrhosis patients. The severity of liver damage was reflected by the Child–Pugh score. dALFF, sALFF and both two features were used to predict Child–Pugh scores in MHE patients using a general linear model.ResultsCompared with HCs, MHE patients showed significantly increased dALFF in the left inferior occipital gyrus, right middle occipital gyrus, and right insula; increased dALFF was also observed in the right posterior lobe of the cerebellum (CPL) and right thalamus. Compared with HCs, noMHE patients exhibited decreased dALFF in the right precuneus. In contrast, compared with noMHE patients, MHE patients showed increased dALFF in the right precuneus, right superior frontal gyrus, and right superior occipital gyrus. Furthermore, the increased dALFF values in the left precuneus were positively associated with poor digit-symbol test (DST) scores (r = 0.356, p = 0.038); however, dALFF in the right inferior temporal gyrus (ITG) was negatively associated with the number connection test–A (NCT-A) scores (r = -0.784, p = 0.000). A significant positive correlation was found between dALFF in the left inferior occipital gyrus (IOG) and high blood ammonia levels (r = 0.424, p = 0.012). Notably, dALFF values yielded a higher classification accuracy than sALFF values in distinguishing MHE patients from cirrhosis patients. Importantly, the dALFF values predicted the Child–Pugh score (r = 0.140, p = 0.030), whereas sALFF values did not in the current dataset. Combining two features had high accuracy in classification in distinguishing MHE patients from cirrhotic patients and yielded prediction in the severity of liver damage.ConclusionThese findings suggest that combining dALFF and sALFF features is a useful neuromarkers for distinguishing MHE patients from cirrhosis patients and highlights the important role of dALFF feature in predicting the severity of liver damage in MHE.

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Systemic lupus erythematosus-related brain abnormalities in the default mode network and the limbic system: A resting-state fMRI meta-analysis

Wang,

Han,

Huang

et al. 2024

Journal of Affective Disorders

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Dynamic changes of amplitude of low-frequency in systemic lupus erythematosus patients with cognitive impairment

Cited by 4 publications

References 50 publications

Altered dynamic and static brain activity and functional connectivity in COVID-19 patients: a preliminary study

Altered dynamic and static brain activity and functional connectivity in COVID-19 patients: a preliminary study

Changes in dynamic and static brain fluctuation distinguish minimal hepatic encephalopathy and cirrhosis patients and predict the severity of liver damage

Systemic lupus erythematosus-related brain abnormalities in the default mode network and the limbic system: A resting-state fMRI meta-analysis

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