A Resting-State Functional Magnetic Resonance Imaging Study of Abnormal Frontoparietal Network Function in Migraine without Aura

Cui, Weihong; Zhang, Si-Shuo; Xu, Fei; Li, Haitao; Zhi, Hongwei; Wang, Yahan; Huo, Yongjun; Xu, Xinping; Wu, Hongyun

doi:10.12659/msm.934975

Cited by 3 publications

(3 citation statements)

References 35 publications

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“…The frontoparietal region may play a dominant role in the formation and transmission of sensations ( Lobanov et al, 2013 ), and RFPN is recognized as an important network that associates with perception and pain ( Smith et al, 2009 ). Neural function activity in encephalic regions of FPN showed abnormal changes ( Cui et al, 2022 ), and a significantly lower FC of RFPN was observed in MWoA patients ( Li et al, 2015 ). In our study, we found increased FCs between FPN and SMN, and decreased FCs within FPN and with the other networks in CS patients, suggesting that FPN also plays an important role in the processing and regulation of CS pain.…”

Section: Discussionmentioning

confidence: 99%

Identifying the neural marker of chronic sciatica using multimodal neuroimaging and machine learning analyses

Wei

Wang

et al. 2022

Front. Neurosci.

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IntroductionSciatica is a pain disorder often caused by the herniated disk compressing the lumbosacral nerve roots. Neuroimaging studies have identified functional abnormalities in patients with chronic sciatica (CS). However, few studies have investigated the neural marker of CS using brain structure and the classification value of multidimensional neuroimaging features in CS patients is unclear.MethodsHere, structural and resting-state functional magnetic resonance imaging (fMRI) was acquired for 34 CS patients and 36 matched healthy controls (HCs). We analyzed cortical surface area, cortical thickness, amplitude of low-frequency fluctuation (ALFF), regional homogeneity (REHO), between-regions functional connectivity (FC), and assessed the correlation between neuroimaging measures and clinical scores. Finally, the multimodal neuroimaging features were used to differentiate the CS patients and HC individuals by support vector machine (SVM) algorithm.ResultsCompared to HC, CS patients had a larger cortical surface area in the right banks of the superior temporal sulcus and rostral anterior cingulate; higher ALFF value in the left inferior frontal gyrus; enhanced FCs between somatomotor and ventral attention network. Three FCs values were associated with clinical pain scores. Furthermore, the three multimodal neuroimaging features with significant differences between groups and the SVM algorithm could classify CS patients and HC with an accuracy of 90.00%.DiscussionTogether, our findings revealed extensive reorganization of local functional properties, surface area, and network metrics in CS patients. The success of patient identification highlights the potential of using artificial intelligence and multimodal neuroimaging markers in chronic pain research.

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Section: Discussionmentioning

confidence: 99%

Identifying the neural marker of chronic sciatica using multimodal neuroimaging and machine learning analyses

Wei

Wang

et al. 2022

Front. Neurosci.

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“…Many studies revealed rich individual diversity in the precise anatomical distribution of the FPN (Marek and Dosenbach, 2018 ). The brain areas of the FPN could be summarized as (1) Using seed ROIs: the lateral and medial portions of the dorsal and or the bilateral dorsolateral prefrontal cortex (DLPFC) (Marek and Dosenbach, 2018 , 2019 ; Almdahl et al, 2021 ; Goodman et al, 2021 ; Matsuoka et al, 2021 ; Winters et al, 2021 ), the superior temporal gyrus (STG) (Marek and Dosenbach, 2018 ; Sharma et al, 2018 ; Goodman et al, 2021 ; Jandric et al, 2021 ), the angular gyrus (AG) (Marek and Dosenbach, 2018 ; Sharma et al, 2018 ; Jandric et al, 2021 ), the inferior parietal lobule (IPL) (Marek and Dosenbach, 2018 ; Goodman et al, 2021 ; Jandric et al, 2021 ; Matsuoka et al, 2021 ; Winters et al, 2021 ; Cui et al, 2022 ), the precuneus (ALFF) (Kaiser et al, 2015 , 2019 ; Goodman et al, 2021 ), the anterior cingulate cortices (ACC) (Marek and Dosenbach, 2018 ; Goodman et al, 2021 ), the orbital part of left inferior frontal gyrus (IFG) (Jiang et al, 2020 ; Cui et al, 2022 ), the calcarine fissure (CAL) (Jandric et al, 2021 ; Cui et al, 2022 ), and the superior frontal gyrus (SFG) (Almdahl et al, 2021 ; Jandric et al, 2021 ; Winters et al, 2021 ); and (2) using independent component analysis (ICA): the orbital part of the inferior frontal gyrus (IFG), the middle temporal gyrus (MTG) (Cui et al, 2022 ), the right parahippocampal gyrus (PHG) (Marek and Dosenbach, 2019 ), the middle frontal gyrus (MFG), and the posterior cingulate cortices (PCC) (Goodman et al, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Functional MRI-specific alterations in frontoparietal network in mild cognitive impairment: an ALE meta-analysis

Yang

Song

Chen

et al. 2023

Front. Aging Neurosci.

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BackgroundMild cognitive impairment (MCI) depicts a transitory phase between healthy elderly and the onset of Alzheimer's disease (AD) with worsening cognitive impairment. Some functional MRI (fMRI) research indicated that the frontoparietal network (FPN) could be an essential part of the pathophysiological mechanism of MCI. However, damaged FPN regions were not consistently reported, especially their interactions with other brain networks. We assessed the fMRI-specific anomalies of the FPN in MCI by analyzing brain regions with functional alterations.MethodsPubMed, Embase, and Web of Science were searched to screen neuroimaging studies exploring brain function alterations in the FPN in MCI using fMRI-related indexes, including the amplitude of low-frequency fluctuation, regional homogeneity, and functional connectivity. We integrated distinctive coordinates by activating likelihood estimation, visualizing abnormal functional regions, and concluding functional alterations of the FPN.ResultsWe selected 29 studies and found specific changes in some brain regions of the FPN. These included the bilateral dorsolateral prefrontal cortex, insula, precuneus cortex, anterior cingulate cortex, inferior parietal lobule, middle temporal gyrus, superior frontal gyrus, and parahippocampal gyrus. Any abnormal alterations in these regions depicted interactions between the FPN and other networks.ConclusionThe study demonstrates specific fMRI neuroimaging alterations in brain regions of the FPN in MCI patients. This could provide a new perspective on identifying early-stage patients with targeted treatment programs.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023432042, identifier: CRD42023432042.

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“…ReHo is a measurement of intraregional communication within a set of nearest-neighbor voxels, reflecting local synchronizations or local connectivity of brain spontaneous activities ( Zang et al, 2004 ). Previous studies found the positive correlation between ReHo and glucose metabolism ( Nugent et al, 2014 ; Aiello et al, 2015 ), and investigators commonly used ReHo to evaluate brain functions in clinical cases, such as depression or migraine ( Iwabuchi et al, 2015 ; Cui et al, 2022 ; Lin et al, 2022 ). Recently, we analyzed the local and distant connectivity (ReHo and FC, respectively) simultaneously across different sleep stages, and the observations of increased ReHo and declined FC during the sleep stage 2 indicated the altered brain functionality toward local processing, rather than long-distance communications in wakefulness ( Kung et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Interoceptive awareness: MBSR training alters information processing of salience network

Guu

Chao²,

Huang³

et al. 2023

Front. Behav. Neurosci.

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Mindfulness refers to a mental state of awareness of internal experience without judgment. Studies have suggested that each mindfulness practice may involve a unique mental state, but the underlying neurophysiological mechanisms remain unknown. Here we examined how distinct mindfulness practices after mindfulness-based intervention alter brain functionality. Specifically, we investigated the functional alterations of the salience network (SN) using functional magnetic resonance imaging (fMRI) among the two interoceptive mindfulness practices—breathing and body scan—associated with interoceptive awareness in fixed attention and shifted attention, respectively. Long-distance functional connectivity (FC) and regional homogeneity (ReHo) approaches were applied to measure distant and local neural information processing across various mental states. We hypothesized that mindful breathing and body scan would yield a unique information processing pattern in terms of long-range and local functional connectivity (FC). A total of 18 meditation-naïve participants were enrolled in an 8-week mindfulness-based stress reduction (MBSR) program alongside a waitlist control group (n = 14), with both groups undergoing multiple fMRI sessions during breathing, body scan and resting state for comparison. We demonstrated that two mindfulness practices affect both the long-distance FCSN and the local ReHo, only apparent after the MBSR program. Three functional distinctions between the mindfulness practices and the resting state are noted: (1) distant SN connectivity to occipital regions increased during the breathing practice (fixed attention), whereas the SN increased connection with the frontal/central gyri during the body scan (shifting attention); (2) local ReHo increased only in the parietal lobe during the body scan (shifting attention); (3) distant and local connections turned into a positive correlation only during the mindfulness practices after the MBSR training, indicating a global enhancement of the SN information processing during mindfulness practices. Though with limited sample size, the functional specificity of mindfulness practices offers a potential research direction on neuroimaging of mindfulness, awaiting further studies for verification.

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A Resting-State Functional Magnetic Resonance Imaging Study of Abnormal Frontoparietal Network Function in Migraine without Aura

Cited by 3 publications

References 35 publications

Identifying the neural marker of chronic sciatica using multimodal neuroimaging and machine learning analyses

Identifying the neural marker of chronic sciatica using multimodal neuroimaging and machine learning analyses

Functional MRI-specific alterations in frontoparietal network in mild cognitive impairment: an ALE meta-analysis

Interoceptive awareness: MBSR training alters information processing of salience network

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