Topological alterations in white matter structural networks in fibromyalgia.
Purpose: Neuroimaging studies employing analyses dependent on regional assumptions and specific neuronal circuits could miss characteristics of whole-brain structural connectivity critical to the pathophysiology of fibromyalgia (FM). This study applied the whole-brain graph-theoretical approach to i...
| Published in: | Neuroradiology Vol. 65; no. 12; pp. 1737 - 1748 |
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| Main Authors: | , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Dec2023
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=173653973&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 173653973 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Dec2023 vid: 65 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 173653973 173047359 173653973 173653973 10.1007/s00234-023-03225-7 173653973 ppf: 1737 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Topological alterations in white matter structural networks in fibromyalgia. aug: au: Tu, Ye Wang, Jihong Li, Zheng Xiong, Fei Gao, Feng affil: Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China sug: subj: Fibromyalgia Physiopathology White Matter Physiopathology Brain Mapping Methods Models, Theoretical Human Cross Sectional Studies Male Female Adult Descriptive Statistics T-Tests Neuroradiography Evaluation Radiography Magnetic Resonance Imaging Adult: 19-44 years Male Female ab: Purpose: Neuroimaging studies employing analyses dependent on regional assumptions and specific neuronal circuits could miss characteristics of whole-brain structural connectivity critical to the pathophysiology of fibromyalgia (FM). This study applied the whole-brain graph-theoretical approach to identify whole-brain structural connectivity disturbances in FM. Methods: This cross-sectional study used probabilistic diffusion tractography and graph theory analysis to evaluate the topological organization of brain white matter networks in 20 patients with FM and 20 healthy controls (HCs). The relationship between brain network metrics and clinical variables was evaluated. Results: Compared with HCs, FM patients had lower clustering coefficient, local efficiency, hierarchy, synchronization, and higher normalized characteristic path length. Regionally, patients demonstrated a significant reduction in nodal efficiency and centrality; these regions were mainly located in the prefrontal, temporal cortex, and basal ganglia. The network-based statistical analysis (NBS) identified decreased structural connectivity in a subnetwork of prefrontal cortex, basal ganglia, and thalamus in FM. There was no correlation between network metrics and clinical variables (false discovery rate corrected). Conclusions : The current research demonstrated disrupted topological architecture of white matter networks in FM. Our results suggested compromised neural integration and segregation and reduced structural connectivity in FM. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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