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      Differences in topological properties of functional brain networks between menstrually-related and non-menstrual migraine without aura

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          Abstract

          Menstrually-related migraine without aura refers to a specific type of migraine that is associated with the female ovarian cycle. Compared with non-menstrual migraine without aura, in menstrually-related migraine without aura, there are additional attacks of migraine outside of the menstrual period. Menstrually-related migraine without aura tends to be less responsive to acute treatment and more prone to relapse than non-menstrual migraine without aura. Currently menstrually-related migraine without aura is treated no differently from any other migraine but, the differences in the central mechanisms underlying menstrually-related migraine without aura and non-menstrual migraine without aura remain poorly understood. Here, using resting-state functional magnetic resonance imaging and graph theory approaches, we aimed to explore the differences in topological properties of functional networks in 51 menstrually-related migraine without aura patients and 47 non-menstrual migraine without aura patients. The major finding of our study was that significant differences in topological properties between the two groups were mainly evident in the nodal centrality of the inferior frontal gyrus and the thalamus. Nodal centrality in inferior frontal gyrus was negatively correlated with Headache Impact Test questionnaire scores in the menstrually-related migraine without aura patients. Partial least squares correlation analysis revealed enhanced correlations of inferior frontal gyrus to pain-related behavior in the non-menstrual migraine without aura group, while within the menstrually-related migraine without aura group these effects were non-significant. These results indicate that the regulatory mechanisms in the central nervous system may differ between the two subtypes of migraine. The results provide novel insights into the pathophysiology of different subtypes of migraine, and could help us to enhance their clinical diagnosis and treatment.

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          Most cited references44

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          Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition

          (2018)
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            The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture

            The human brain atlases that allow correlating brain anatomy with psychological and cognitive functions are in transition from ex vivo histology-based printed atlases to digital brain maps providing multimodal in vivo information. Many current human brain atlases cover only specific structures, lack fine-grained parcellations, and fail to provide functionally important connectivity information. Using noninvasive multimodal neuroimaging techniques, we designed a connectivity-based parcellation framework that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture. The resulting human Brainnetome Atlas, with 210 cortical and 36 subcortical subregions, provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections. Additionally, we further mapped the delineated structures to mental processes by reference to the BrainMap database. It thus provides an objective and stable starting point from which to explore the complex relationships between structure, connectivity, and function, and eventually improves understanding of how the human brain works. The human Brainnetome Atlas will be made freely available for download at http://atlas.brainnetome.org, so that whole brain parcellations, connections, and functional data will be readily available for researchers to use in their investigations into healthy and pathological states.
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              Movement-related effects in fMRI time-series.

              This paper concerns the spatial and intensity transformations that are required to adjust for the confounding effects of subject movement during functional MRI (fMRI) activation studies. An approach is presented that models, and removes, movement-related artifacts from fMRI time-series. This approach is predicated on the observation that movement-related effects are extant even after perfect realignment. Movement-related effects can be divided into those that are a function of position of the object in the frame of reference of the scanner and those that are due to movement in previous scans. This second component depends on the history of excitation experienced by spins in a small volume and consequent differences in local saturation. The spin excitation history thus will itself be a function of previous positions, suggesting an autoregression-moving average model for the effects of previous displacements on the current signal. A model is described as well as the adjustments for movement-related components that ensue. The empirical analyses suggest that (in extreme situations) over 90% of fMRI signal can be attributed to movement, and that this artifactual component can be successfully removed.
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                Author and article information

                Contributors
                zhaoling@cdutcm.edu.cn
                Journal
                Brain Imaging Behav
                Brain Imaging Behav
                Brain Imaging and Behavior
                Springer US (New York )
                1931-7557
                1931-7565
                23 July 2020
                23 July 2020
                2021
                : 15
                : 3
                : 1450-1459
                Affiliations
                [1 ]GRID grid.411304.3, ISNI 0000 0001 0376 205X, College of Acupuncture, Moxibustion and Tuina, , Chengdu University of Traditional Chinese Medicine, ; 37 Shi’er Qiao Rd, Chengdu, 610075 Sichuan China
                [2 ]Chengdu Integrated Traditional Chinese Medicine &Western Medicine Hospital, Chengdu, China
                [3 ]GRID grid.415440.0, Hospital of Chengdu University of Traditional Chinese Medicine, ; Chengdu, China
                Author information
                http://orcid.org/0000-0002-3955-0072
                Article
                344
                10.1007/s11682-020-00344-0
                8286221
                32705466
                a3f15ec8-1b51-4330-baf9-7ff6b46e3f1e
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                Funding
                Funded by: the National Key Research and Development Project
                Award ID: 2019YFC1709701
                Award Recipient :
                Funded by: the National Natural Science Foundation of China
                Award ID: 81722050
                Award ID: 81871330
                Award Recipient :
                Funded by: the Key R&D Program of Sichuan Province
                Award ID: 20ZDYF1199
                Award Recipient :
                Funded by: the First-Class Disciplines Development supported by Chengdu University of Traditional Chinese Medicine
                Award ID: CZYJC1901
                Award Recipient :
                Categories
                Original Research
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2021

                Radiology & Imaging
                menstrually-related migraine without aura,non-menstrual migraine without aura,functional brain network,topological properties

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