Visual network alterations in brain functional connectivity in chronic low back pain: A resting state functional connectivity and machine learning study

Shen, Wei‐Chih; Tu, Yiheng; Gollub, Randy L.; Ortiz, Ana; Napadow, Vitaly; Yu, Siyi; Wilson, Georgia; Park, Joel; Lang, Courtney; Jung, Minyoung; Gerber, Jessica; Mawla, Ishtiaq; Chan, Suk-Tak; Wasan, Ajay D.; Edwards, Robert R.; Kaptchuk, Ted J.; Li, Shasha; Rosen, Bruce R.; Kong, Jian

doi:10.1016/j.nicl.2019.101775

Cited by 82 publications

(69 citation statements)

References 80 publications

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“…Significant FC alterations were found for primary and bilateral dorsal visual network seeds with somatosensory and motor brain regions and a classification accuracy of 79.3% was reported for distinguishing chronic low back pain from HC. The authors proposed an adaptation or self-adjustment mechanism and cross-modal interaction between visual, somatosensory, motor, attention, and saliency networks to account for their findings (48). The results presented in the current study are supportive of cross-modal interactions between these networks.…”

Section: Networksupporting

confidence: 77%

“…Although perhaps not intuitive that visual network changes would be involved in CD, differences in visual processing regions have been reported in previous CD studies, including cortical thickness differences in left lateral occipital cortex (24), hypergyrification of left lingual gyrus (41) for CD, and increased FC within visual medial and frontoparietal networks in IBD (42), and similar reports are seen for other chronic conditions, such as knee osteoarthritis (43), persistent somatoform pain disorder (44), postherpetic neuralgia (45), migraine (46), and fibromyalgia (47). Having recognized the plethora of studies reporting visual system FC alterations in chronic pain populations, Shen et al (48) investigated the FC of visual network nodes in a chronic low back pain population using an ROI analysis and a support vector machine classifier. Significant FC alterations were found for primary and bilateral dorsal visual network seeds with somatosensory and motor brain regions and a classification accuracy of 79.3% was reported for distinguishing chronic low back pain from HC.…”

Section: Networkmentioning

confidence: 93%

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Brain Resting-State Network Alterations Associated With Crohn's Disease

Kornelsen

Wilson

Labus³

et al. 2020

Front. Neurol.

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Inflammatory bowel disease (IBD) is a chronic disease that is associated with aspects of brain anatomy and activity. In this preliminary MRI study, we investigated differences in brain structure and in functional connectivity (FC) of brain regions in 35 participants with Crohn's disease (CD) and 21 healthy controls (HC). Voxel-based morphometry (VBM) analysis was performed to contrast CD and HC structural images. Region of interest (ROI) analyses were run to assess FC for resting-state network nodes. Independent component analysis (ICA) identified whole brain differences in FC associated with resting-state networks. Though no structural differences were found, ROI analyses showed increased FC between the frontoparietal (FP) network and salience network (SN), and decreased FC between nodes of the default mode network (DMN). ICA results revealed changes involving cerebellar (CER), visual (VIS), and SN components. Differences in FC associated with sex were observed for both ROI analysis and ICA. Taken together, these changes are consistent with an influence of CD on the brain and serve to direct future research hypotheses.

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Section: Networksupporting

confidence: 77%

Section: Networkmentioning

confidence: 93%

Brain Resting-State Network Alterations Associated With Crohn's Disease

Kornelsen

Wilson

Labus³

et al. 2020

Front. Neurol.

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“…The 45 replicable ICNs were categorized into six functional networks (Fig. 1a), including the sensorimotor network (SMN) 20,29 , default mode network (DMN) 30,31 , frontoparietal network (FPN) 32 , subcortical network (SCN) 33 , visual network (VSN) 34 , and auditory network 22 , which have been widely studied in chronic pain. The detailed component labels and peak coordinates of each ICN are provided in Supplementary Figs.…”

Section: Brain Parcellation and Whole-brain Connectivity Estimationmentioning

confidence: 99%

Distinct thalamocortical network dynamics are associated with the pathophysiology of chronic low back pain

Mao

et al. 2020

Nat Commun

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Thalamocortical dysrhythmia is a key pathology of chronic neuropathic pain, but few studies have investigated thalamocortical networks in chronic low back pain (cLBP) given its nonspecific etiology and complexity. Using fMRI, we propose an analytical pipeline to identify abnormal thalamocortical network dynamics in cLBP patients and validate the findings in two independent cohorts. We first identify two reoccurring dynamic connectivity states and their associations with chronic and temporary pain. Further analyses show that cLBP patients have abnormal connectivity between the ventral lateral/posterolateral nucleus (VL/VPL) and postcentral gyrus (PoCG) and between the dorsal/ventral medial nucleus and insula in the less frequent connectivity state, and temporary pain exacerbation alters connectivity between the VL/VPL and PoCG and the default mode network in the more frequent connectivity state. These results extend current findings on thalamocortical dysfunction and dysrhythmia in chronic pain and demonstrate that cLBP pathophysiology and clinical pain intensity are associated with distinct thalamocortical network dynamics.

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“…It should also be noted that most of the chronic back pain (CBP) studies recruited heterogeneous pain populations (i.e. idiopathic or mechanical back pain) (7,12,13). It is reasonable to believe that AS-as a unique systemic inflammation condition-causes specific changes in brain function and structure.…”

Section: Introductionmentioning

confidence: 99%

Pain- and Fatigue-Related Functional and Structural Changes in Ankylosing Spondylitis: An fRMI Study

et al. 2020

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Background: Chronic pain and fatigue are two cardinal features of ankylosing spondylitis (AS) and how to effectively treat these conditions continues to be a challenge. The underlying mechanisms and the relationship between AS-related pain and fatigue remain poorly understood. The present study was conducted, therefore, to explore the brain functional and structural changes associated with pain and fatigue in AS. Methods: A total of 65 AS patients (48 men and 17 women; 32.33 ± 8.6 years) and 53 age-and sex-matched controls were enrolled in the study. The patients underwent clinical assessment based on Total Back Pain scores, Fatigue Severity Scale, Bath Ankylosing Spondylitis Disease Activity Index, (BASDAI), high-sensitivity C-reactive Protein (hsCRP), erythrocyte sedimentation rate (ESR), and Beck Depression Inventory (BDI). Using 3T magnetic resonance imaging (3T-MRI), we analyzed the brain functional (connectivity and nodal properties) and structural (covariance and gray matter volumes) differences between AS patients and controls. Furthermore, we extracted the values of the significantly changed regions in the AS cohort and explored their association with pain and fatigue. Results: In AS patients, there were functional and structural abnormalities distributed in the default mode network (DMN), salience network (SN), sensory/somatomotor network (SMN), dorsal attention network (DAN), task control network (TCN), and visual network, and some regions showed both types of changes. Among these, the functional connectivity (FC) between the left insula and medial prefrontal cortex, the betweenness centrality of the left medial prefrontal cortex and the gray matter volume of the right putamen tracked both pain and fatigue. In addition, pain was related to within-DMN FC disruption and nodal function / gray matter volumes changes in DMN, SN, and the visual network, while fatigue mainly involved the SMN, DAN, and TCN. Moreover, certain changes were also related to BASDAI and inflammation level. Conclusion: This study offers new insights into understanding the neural mechanism of AS-related pain and fatigue, and could help to stratify patients based on the correlation features and ultimately move towards a personalized therapy.

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Visual network alterations in brain functional connectivity in chronic low back pain: A resting state functional connectivity and machine learning study

Cited by 82 publications

References 80 publications

Brain Resting-State Network Alterations Associated With Crohn's Disease

Brain Resting-State Network Alterations Associated With Crohn's Disease

Distinct thalamocortical network dynamics are associated with the pathophysiology of chronic low back pain

Pain- and Fatigue-Related Functional and Structural Changes in Ankylosing Spondylitis: An fRMI Study

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