84
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

The Effect of Long-Term Menstrual Pain on Large-Scale Brain Network in Primary Dysmenorrhea Patients

, , &
Pages 2123-2131 | Received 13 Mar 2022, Accepted 01 Jul 2022, Published online: 28 Jul 2022

References

  • Hu Z, Tang L, Chen L, et al. Prevalence and risk factors associated with primary dysmenorrhea among Chinese female university students: a cross-sectional study. J Pediatr Adolesc Gynecol. 2020;33:15–22. doi:10.1016/j.jpag.2019.09.004
  • Bakhsh H, Algenaimi E, Aldhuwayhi R, AboWadaan M. Prevalence of dysmenorrhea among reproductive age group in Saudi Women. BMC Womens Health. 2022;22:78. doi:10.1186/s12905-022-01654-9
  • Fernandez-Martinez E, Onieva-Zafra MD, Parra-Fernandez ML, Palazón-Bru A. Lifestyle and prevalence of dysmenorrhea among Spanish female university students. PLoS One. 2018;13:e0201894. doi:10.1371/journal.pone.0201894
  • Zurawiecka M, Wronka I. Association of primary dysmenorrhea with anthropometrical and socio-economic factors in Polish university students. J Obstet Gynaecol Res. 2018;44:1259–1267. doi:10.1111/jog.13645
  • Hailemeskel S, Demissie A, Assefa N. Primary dysmenorrhea magnitude, associated risk factors, and its effect on academic performance: evidence from female university students in Ethiopia. Int J Womens Health. 2016;8:489–496. doi:10.2147/IJWH.S112768
  • Gagua T, Tkeshelashvili B, Gagua D, et al. Assessment of anxiety and depression in adolescents with primary dysmenorrhea: a case-control study. J Pediatr Adolesc Gynecol. 2013;26(6):350–354. doi:10.1016/j.jpag.2013.06.018
  • Balik G, Ustuner I, Kagitci M, et al. Is there a relationship between mood disorders and dysmenorrhea? J Pediatr Adolesc Gynecol. 2014;27:371–374. doi:10.1016/j.jpag.2014.01.108
  • Doğan H, Eroğlu S, Akbayrak T. The effect of kinesio taping and lifestyle changes on pain, body awareness and quality of life in primary dysmenorrhea complement. Ther Clin Pract. 2020;39:101120. doi:10.1016/j.ctcp.2020.101120
  • Zhang YN, Huo JW, Huang YR, et al. Altered amplitude of low-frequency fluctuation and regional cerebral blood flow in females with primary dysmenorrhea: a resting-state fMRI and arterial spin labeling study. J Pain Res. 2019;12:1243–1250. doi:10.2147/JPR.S177502
  • Jin L, Yang X, Liu P, et al. Dynamic abnormalities of spontaneous brain activity in women with primary dysmenorrhea. J Pain Res. 2017;10:699–707. doi:10.2147/JPR.S121286
  • Liu P, Liu Y, Wang G, et al. Aberrant default mode network in patients with primary dysmenorrhea: a fMRI study. Brain Imaging Behav. 2017;11:1479–1485. doi:10.1007/s11682-016-9627-1
  • Liu P, Liu Y, Wang G, et al. Changes of functional connectivity of the anterior cingulate cortex in women with primary dysmenorrhea. Brain Imaging Behav. 2018;12:710–717. doi:10.1007/s11682-017-9730-y
  • Dun WH, Yang J, Yang L, et al. Abnormal structure and functional connectivity of the anterior insula at pain-free periovulation is associated with perceived pain during menstruation. Brain Imaging Behav. 2017;11:1787–1795. doi:10.1007/s11682-016-9646-y
  • Damoiseaux JS, Rombouts SA, Barkhof F, et al. Consistent resting-state networks across healthy subjects. Proc Natl Acad Sci U S A. 2006;103:13848–13853. doi:10.1073/pnas.0601417103
  • Smith SM, Fox PT, Miller KL, et al. Correspondence of the brain’s functional architecture during activation and rest. Proc Natl Acad Sci U S A. 2009;106:13040–13045. doi:10.1073/pnas.0905267106
  • van de Ven VG, Formisano E, Prvulovic D, et al. Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest. Hum Brain Mapp. 2004;22:165–178. doi:10.1002/hbm.20022
  • Beckmann CF, DeLuca M, Devlin JT, et al. Investigations into resting-state connectivity using independent component analysis. Philos Trans R Soc Lond B Biol Sci. 2005;360(1457):1001–1013. doi:10.1098/rstb.2005.1634
  • Yan CG, Wang XD, Zuo XN, et al. DPABI: data processing & analysis for (Resting-State) brain imaging. Neuroinformatics. 2016;14:339–351. doi:10.1007/s12021-016-9299-4
  • Van Dijk KR, Sabuncu MR, Buckner RL. The influence of head motion on intrinsic functional connectivity MRI. Neuroimage. 2012;59:431–438. doi:10.1016/j.neuroimage.2011.07.044
  • Goto M, Abe O, Aoki S, et al. Diffeomorphic anatomical registration through exponentiated lie algebra provides reduced effect of scanner for cortex volumetry with atlas-based method in healthy subjects. Neuroradiology. 2013;55:869–875. doi:10.1007/s00234-013-1193-2
  • Zuo XN, Kelly C, Adelstein JS, et al. Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach. Neuroimage. 2010;49:2163–2177. doi:10.1016/j.neuroimage.2009.10.080
  • Wang D, Qin W, Liu Y, et al. Altered resting-state network connectivity in congenital blind. Hum Brain Mapp. 2014;35:2573–2581. doi:10.1002/hbm.22350
  • Shirer WR, Ryali S, Rykhlevskaia E, et al. Decoding subject-driven cognitive states with whole-brain connectivity patterns. Cereb Cortex. 2012;22(1):158–165. doi:10.1093/cercor/bhr099
  • Zhang B, Xu Y, He W, et al. Intensity dependence of auditory evoked potentials in primary dysmenorrhea. J Pain. 2017;18:1324–1332. doi:10.1016/j.jpain.2017.06.009
  • Lee PS, Low I, Chen YS, et al. Encoding of menstrual pain experience with theta oscillations in women with primary dysmenorrhea. Sci Rep. 2017;7:15977. doi:10.1038/s41598-017-16039-4
  • Fan L, Sun YB, Sun ZK, et al. Modulation of auditory sensory memory by chronic clinical pain and acute experimental pain: a mismatch negativity study. Sci Rep. 2018;8:15673. doi:10.1038/s41598-018-34099-y
  • Zhang J, Su J, Wang M, et al. The sensorimotor network dysfunction in migraineurs without aura: a resting-state fMRI study. J Neurol. 2017;264:654–663. doi:10.1007/s00415-017-8404-4
  • Bhatt RR, Gupta A, Rapkin A, et al. Altered gray matter volume in sensorimotor and thalamic regions associated with pain in localized provoked vulvodynia: a voxel-based morphometry study. Pain. 2019;160:1529–1540. doi:10.1097/j.pain.0000000000001532
  • Niddam DM, Wang SJ, Tsai SY. Pain sensitivity and the primary sensorimotor cortices: a multimodal neuroimaging study. Pain. 2021;162:846–855. doi:10.1097/j.pain.0000000000002074
  • Yu S, Xie M, Liu S, et al. Resting-state functional connectivity patterns predict acupuncture treatment response in primary dysmenorrhea. Front Neurosci. 2020;14:559191. doi:10.3389/fnins.2020.559191
  • Tu CH, Niddam DM, Chao HT, et al. Abnormal cerebral metabolism during menstrual pain in primary dysmenorrhea. Neuroimage. 2009;47:28–35. doi:10.1016/j.neuroimage.2009.03.080
  • Keogh E, Moore DJ, Duggan GB, et al. The disruptive effects of pain on complex cognitive performance and executive control. PLoS One. 2013;8(12):e83272. doi:10.1371/journal.pone.0083272
  • Pei Y, Zhang Y, Zhu Y, et al. Hyperconnectivity and high temporal variability of the primary somatosensory cortex in low-back-related leg pain: an fMRI Study of static and dynamic functional connectivity. J Pain Res. 2020;13:1665–1675. doi:10.2147/JPR.S242807
  • Loggia ML, Kim J, Gollub RL, et al. Default mode network connectivity encodes clinical pain: an arterial spin labeling study. Pain. 2013;154:24–33. doi:10.1016/j.pain.2012.07.029
  • Jones SA, Morales AM, Holley AL, et al. Default mode network connectivity is related to pain frequency and intensity in adolescents. Neuroimage Clin. 2020;27:102326. doi:10.1016/j.nicl.2020.102326
  • Isenburg K, Mawla I, Loggia ML, et al. Increased salience network connectivity following manual therapy is associated with reduced pain in chronic low back pain patients. J Pain. 2021;22:545–555. doi:10.1016/j.jpain.2020.11.007
  • van Ettinger-Veenstra H, Lundberg P, Alfoldi P, et al. Chronic widespread pain patients show disrupted cortical connectivity in default mode and salience networks, modulated by pain sensitivity. J Pain Res. 2019;12:1743–1755. doi:10.2147/JPR.S189443
  • Lee L-C, Chen Y-H, Lin C-S, et al. Unaltered intrinsic functional brain architecture in young women with primary dysmenorrhea. Sci Rep. 2018;8:12971. doi:10.1038/s41598-018-30827-6
  • Figley TD, Mortazavi Moghadam B, Bhullar N, et al. Probabilistic white matter atlases of human auditory, basal ganglia, language, precuneus, sensorimotor, visual and visuospatial networks. Front Hum Neurosci. 2017;11:306. doi:10.3389/fnhum.2017.00306