Decreased Coupling Between Functional Connectivity Density and Amplitude of Low Frequency Fluctuation in Non-Neuropsychiatric Systemic Lupus Erythematosus: a Resting-Stage Functional MRI Study

Zhang, Xiao Dong; Jiang, Xiaoliang; Zhang, Cheng; Zhou, Yan; Xu, Qiang; Zhang, Zhi‐Qiang; Qi, Rongfeng; Luo, Song; Yun, Yan Su; Chen, Hui Juan; Kong, Xiang; Lu, Guang Ming; Zhang, Long Jiang

doi:10.1007/s12035-016-0050-9

Cited by 26 publications

(28 citation statements)

References 45 publications

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“…CBF significantly increased in GM in the temporal gyrus, cingulate gyrus, and cerebellum regions and in widespread WM in non‐NPSLE patients compared with NCs. We hypothesized that this result may be caused by a compensatory mechanism in response to ischemia or injury, which was consistent with previous fMRI studies showing hyperactivities and hyperconnectivity within certain specific networks (e.g., the sensorimotor network) (Mikdashi, ; Niu et al, ; Nystedt et al, ; Papadaki et al, ; Wu et al, ; Zhang et al, ). However, in NPSLE patients, along with widespread vasculopathy and thrombosis, the perfusion of these brain regions was significantly decreased, which means a large reduction in compensatory capacity when the damage exceeded the threshold.…”

Section: Discussionsupporting

confidence: 86%

Different patterns of cerebral perfusion in SLE patients with and without neuropsychiatric manifestations

Zhuo

Duan

et al. 2019

Human Brain Mapping

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To investigate brain perfusion patterns in systemic lupus erythematosus (SLE) patients with and without neuropsychiatric systemic lupus erythematosus (NPSLE and non-NPSLE, respectively) and to identify biomarkers for the diagnosis of NPSLE using noninvasive three-dimensional (3D) arterial spin labeling (ASL). Thirty-one NPSLE and 24 non-NPSLE patients and 32 age-and sex-matched normal controls (NCs) were recruited. Three-dimensional ASL-MRI was applied to quantify cerebral perfusion. Whole brain, gray (GM) and white matter (WM), and voxel-based analysis (VBA) were performed to explore perfusion characteristics. Correlation analysis was performed to find the relationship between the perfusion measures, lesion volumes, and clinical variables. Receiver operating characteristic (ROC) analysis and support vector machine (SVM) classification were applied to differentiate NPSLE patients from non-NPSLE patients and healthy controls. Compared to NCs, NPSLE patients showed increased cerebral blood flow (CBF) within WM but decreased CBF within GM, while non-NPSLE patients showed increased CBF within both GM and WM. Compared to non-NPSLE patients, NPSLE patients showed significantly reduced CBF in the frontal gyrus, cerebellum, and corpus callosum. CBF within several brain regions such as cingulate and corpus callosum showed significant correlations with the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) and the Systemic Lupus International Collaborating Clinics (SLICC) damage index scores. ROC analysis showed moderate performance in distinguishing NPSLE from non-NPSLE patients with AUCs > 0.7, while SVM analysis demonstrated that CBF within the corpus callosum achieved an accuracy of 83.6% in distinguishing NPSLE from non-NPSLE patients. Different brain perfusion patterns were observed between NPSLE and non-NPSLE patients. CBF measured by noninvasive 3D ASL could be a useful biomarker for the diagnosis and disease monitoring of NPSLE and non-NPSLE patients. K E Y W O R D S 3D arterial spin labeling, neuropsychiatric systemic lupus erythematosus, perfusion, systemic lupus erythematosus Zhizheng Zhuo and Li Su contributed equally to this study.

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Section: Discussionsupporting

confidence: 86%

Different patterns of cerebral perfusion in SLE patients with and without neuropsychiatric manifestations

Zhuo

Duan

et al. 2019

Human Brain Mapping

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“…Therefore, the coupling between ALFF and FCDs could comprehensively and synergistically expose the dysfunction in patients with IGE and its subgroups. Based on previous studies ( 11 , 20 ), Pearson correlation was used to evaluate the coupling between ALFF and FCDs. The Pearson correlations between ALFF and FCDs were calculated both voxel-wise and subject-wise in the gray matter mask which was generated by averaging the gray matter segmentations of T1 weight scans from all subjects ( 30 ).…”

Section: Methodsmentioning

confidence: 99%

“…These studies separately revealed changes in ALFF and FCD in patients with IGE. Recent evidence indicated that combining ALFF and FCD might improve the capability for focusing detection and comprehensively revealing the intrinsic brain network dysfunction ( 11 , 20 ), although a specific neuronal processes is difficult to find to match the coupling between two resting state features. The decreased coupling of amplitude and connectivity in mesial temporal regions and increased coupling in posterior regions of the DMN have been revealed in patients with temporal lobe epilepsy ( 11 ).…”

Section: Introductionmentioning

confidence: 99%

“…The decreased coupling of amplitude and connectivity in mesial temporal regions and increased coupling in posterior regions of the DMN have been revealed in patients with temporal lobe epilepsy ( 11 ). Decreased coupling between ALFF and FCD in the hippocampus and parahippocampus was observed in systemic lupus erythematosus patients without overt neuropsychiatric symptoms ( 20 ). In addition, a sliding window approach has been used to evaluate the dynamic ALFF and dynamic FC in patients with schizophrenia, and altered coupling between dynamic ALFF and FC associated with schizophrenia were revealed, suggesting a disruption of the adaptive network property ( 21 ).…”

Section: Introductionmentioning

confidence: 99%

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Disrupted Coupling Between the Spontaneous Fluctuation and Functional Connectivity in Idiopathic Generalized Epilepsy

Jia

Jiang

et al. 2018

Front. Neurol.

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Purpose: The purpose of this study was to comprehensively evaluate alterations of resting-state spontaneous brain activity in patients with idiopathic generalized epilepsy (IGE) and its subgroups [juvenile myoclonic epilepsy (JME) and generalized tonic-clonic seizures (GTCS)].Methods: Resting state functional magnetic resonance imaging (fMRI) data were acquired from 60 patients with IGE and 60 healthy controls (HCs). Amplitude of low frequency fluctuation (ALFF), global functional connectivity density (gFCD), local FCD (lFCD), and long range FCD (lrFCD) were used to evaluate spontaneous brain activity in the whole brain. Moreover, the coupling between ALFF and FCDs (gFCD, lFCD, and lrFCD) was analyzed on both voxel-wise and subject-wise levels. Two-sample t-tests were used to analyze the difference in ALFF, FCDs and coupling on a subject-wise level between the two groups. Nonparametric permutation tests were used to evaluate differences in coupling on a voxel-wise level.Key findings: Patients with IGE and its subgroups showed reduced ALFF, gFCD and lrFCD in posterior regions of the default mode network (DMN). In addition, decreased ALFF and increased coupling with FCD were found in the cerebellum, while decreased coupling was observed in the bilateral pre- and postcentral gyrus in IGE compared with the coupling in HCs. Similar findings were found in the analysis between each of the two subgroups of IGE (JME and GTCS) and HCs, and JME patients had increased coupling in the cerebellum and bilateral middle occipital gyrus compared with coupling in the GTCS patients.Significance: This study demonstrated a multifactor abnormality of the DMN in IGE and emphasized that the abnormality in the cerebellum was associated with dysfunctional motor symptoms during seizures and might participate in the regulation of GSWDs in IGE.

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“…Several studies indicated that low-frequency restingstate fMRI activity, as quanti ed by amplitude of low-frequency uctuations(ALFF) or fractional ALFF (fALFF) suited to measure the cognition capability [7] [8], but it remains unclear whether the dynamic patterns of ALFF or fALFF is relevant to cognitive decline. Although evidence has shown that regional spontaneous neural activity related closely to FC [9][10], we have little knowledge about the relationship between dynamic patterns of ALFF/fALFF and FC and whether the relationship is linked to cognitive decline.…”

Section: Introductionmentioning

confidence: 99%

Recurrent and Concurrent Patterns of Regional BOLD Dynamics and Functional Connectivity Dynamics in Cognitive Decline

Liang

Yuan

Wei

et al. 2020

Preprint

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Background: The brain’s dynamic spontaneous neural activity and dynamic functional connectivity (dFC) are both important in supporting cognition, but how these two types of brain dynamics evolve and co-evolve in subjective cognitive decline (SCD) and mild cognitive impairment (MCI) remain unclear. The aim of this study is to investigate recurrent and concurrent patterns of two types of dynamic brain states correlated with cognitive decline. Methods: the present study analyzed resting-state fMRI from 62 SCD, 75 MCI and 70 healthy controls (HC). Results: We identified a few recurrent states of dynamic regional spontaneous activity (measured as dynamic fractional amplitude of low-frequency fluctuations, dfALFF) and dFC, and further ascertained the co-occurrent patterns of two types of dynamic brain states (i.e., dfALFF and dFC states). Importantly, the occurrence frequency of a default mode network (DMN)-dominated dFC state was significantly different between HC and SCD, while the co-occurrence frequency of a DMN-dominated dFC state and a DMN-dominated dfALFF state was significantly different between SCD and MCI. These two dynamic features were both significantly positively correlated with Mini Mental State Examination scores. Conclusion: This study discovered new neural signatures of cognitive decline from recurrent and concurrent patterns of dfALFF and dFC, providing strong evidence supporting SCD as the transition phase between normal aging and MCI. This finding holds the potential to differentiate SCD from HC by using both dFC and dfALFF as objective neuroimaging biomarkers, and thus helps the early diagnosis and intervention of AD.

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Decreased Coupling Between Functional Connectivity Density and Amplitude of Low Frequency Fluctuation in Non-Neuropsychiatric Systemic Lupus Erythematosus: a Resting-Stage Functional MRI Study

Cited by 26 publications

References 45 publications

Different patterns of cerebral perfusion in SLE patients with and without neuropsychiatric manifestations

Different patterns of cerebral perfusion in SLE patients with and without neuropsychiatric manifestations

Disrupted Coupling Between the Spontaneous Fluctuation and Functional Connectivity in Idiopathic Generalized Epilepsy

Recurrent and Concurrent Patterns of Regional BOLD Dynamics and Functional Connectivity Dynamics in Cognitive Decline

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