Alonso, C., & Coe, C. L. (2001). Disruptions of social relationships accentuate the association between emotional distress and menstrual pain in young women. Health psychology: official journal of the Division of Health Psychology, American Psychological Association, 20(6), 411–416

CAS  Google Scholar 

Amunts, K., Kedo, O., Kindler, M., Pieperhoff, P., Mohlberg, H., Shah, N. J. … Zilles, K. (2005). Cytoarchitectonic mapping of the human amygdala, hippocampal region and entorhinal cortex: intersubject variability and probability maps. Anatomy and embryology, 210(5–6), 343–352

CAS  PubMed  Google Scholar 

Balık, G., Ustüner, I., Kağıtcı, M., & Sahin, F. K. (2014). Is there a relationship between mood disorders and dysmenorrhea? Journal of pediatric and adolescent gynecology, 27(6), 371–374

PubMed  Google Scholar 

Bigler, E. D., & Tate, D. F. (2001). Brain volume, intracranial volume, and dementia. Invest Radiol, 36(9), 539–546

CAS  PubMed  Google Scholar 

Burnett, M., & Lemyre, M. (2017). No. 345-Primary Dysmenorrhea Consensus Guideline. Journal of obstetrics and gynaecology Canada: JOGC = Journal d’obstetrique et gynecologie du Canada : JOGC, 39(7), 585–595

PubMed  Google Scholar 

Bzdok, D., Laird, A. R., Zilles, K., Fox, P. T., & Eickhoff, S. B. (2013). An investigation of the structural, connectional, and functional subspecialization in the human amygdala. Hum Brain Mapp, 34(12), 3247–3266

PubMed  Google Scholar 

Coco, A. S. (1999). Primary dysmenorrhea. American family physician, 60(2), 489–496

CAS  PubMed  Google Scholar 

Cosic, A., Ferhatovic, L., Banozic, A., Kraljevic, S., Maric, A., Sapunar, D., & Puljak, L. (2013). Pain catastrophizing changes during the menstrual cycle. Psychology, Health & Medicine, 18(6), 735–741

Google Scholar 

Dawood, M. Y. (2006). Primary dysmenorrhea: advances in pathogenesis and management. Obstetrics & Gynecology, 108(2), 428–441

Google Scholar 

Dorn, L. D., Negriff, S., Huang, B., Pabst, S., Hillman, J., Braverman, P., & Susman, E. J. (2009). Menstrual symptoms in adolescent girls: association with smoking, depressive symptoms, and anxiety. The Journal of adolescent health: official publication of the Society for Adolescent Medicine, 44(3), 237–243

Google Scholar 

Dulac, C., & Torello, A. T. (2003). Molecular detection of pheromone signals in mammals: from genes to behaviour. Nature reviews. Neuroscience, 4(7), 551–562

CAS  PubMed  Google Scholar 

Evans, S., Dowding, C., Olive, L., Payne, L. A., Druitt, M., Seidman, L. C. … Mikocka-Walus, A. (2021). Pain catastrophizing, but not mental health or social support, is associated with menstrual pain severity in women with dysmenorrhea: A cross-sectional survey.Psychology, Health & Medicine,1–11

Galambos, A., Szabó, E., Nagy, Z., Édes, A. E., Kocsel, N., Juhász, G., & Kökönyei, G. (2019). A systematic review of structural and functional MRI studies on pain catastrophizing. J Pain Res, 12, 1155–1178

PubMed  PubMed Central  Google Scholar 

Gallagher, M., & Chiba, A. A. (1996). The amygdala and emotion. Current opinion in neurobiology, 6(2), 221–227

CAS  PubMed  Google Scholar 

Gong, L., Li, H., Yang, D., Peng, Y., Liu, D., Zhong, M. … Kang, J. (2019a). Striatum Shape Hypertrophy in Early Stage Parkinson’s Disease With Excessive Daytime Sleepiness. Front Neurosci, 13, 1353

PubMed  Google Scholar 

Gong, L., Liao, T., Liu, D., Luo, Q., Xu, R., Huang, Q. … Zhang, C. (2019b). Amygdala Changes in Chronic Insomnia and Their Association with Sleep and Anxiety Symptoms: Insight from Shape Analysis. Neural Plasticity, 2019b, 8549237

Gutman, B. A., van Erp, T. G. M., Alpert, K., Ching, C. R. K., Isaev, D., Ragothaman, A. … Wang, L. (2022). A meta-analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium. Hum Brain Mapp, 43(1), 352–372

Iacovides, S., Avidon, I., & Baker, F. C. (2015). What we know about primary dysmenorrhea today: a critical review. Human reproduction update, 21(6), 762–778

CAS  PubMed  Google Scholar 

Jenkinson, M., Beckmann, C. F., Behrens, T. E., Woolrich, M. W., & Smith, S. M. (2012).FSL. Neuroimage, 62(2),782–790

PubMed  Google Scholar 

Larroy, C. (2002). Comparing visual-analog and numeric scales for assessing menstrual pain. Behavioral Medicine, 27(4), 179–181

PubMed  Google Scholar 

Liu, P., Yang, J., Wang, G., Liu, Y., Liu, X., Jin, L. … Calhoun, V. D. (2016). Altered regional cortical thickness and subcortical volume in women with primary dysmenorrhoea. European journal of pain (London, England), 20(4), 512–520

CAS  Google Scholar 

Low, I., Wei, S. Y., Lee, P. S., Li, W. C., Lee, L. C., Hsieh, J. C., & Chen, L. F. (2018). Neuroimaging Studies of Primary Dysmenorrhea. Advances in experimental medicine and biology, 1099, 179–199

CAS  PubMed  Google Scholar 

Makkinejad, N., Tamhane, A. A., Bennett, D. A., Schneider, J. A., Gutman, B. A., & Arfanakis, K. (2021). Neuropathologic correlates of shape of subcortical brain structures. Alzheimers Dement, 17 Suppl 3, e051502

Google Scholar 

Meints, S. M., Mawla, I., Napadow, V., Kong, J., Gerber, J., Chan, S. T. … Carriere, J. (2019). The relationship between catastrophizing and altered pain sensitivity in patients with chronic low-back pain. Pain, 160(4), 833–843

PubMed  PubMed Central  Google Scholar 

Morey, R. A., Petty, C. M., Xu, Y., Hayes, J. P., Wagner, H. R., Lewis, D. V. … McCarthy, G. (2009). A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes. Neuroimage, 45(3), 855–866

PubMed  Google Scholar 

Morey, R. A., Selgrade, E. S., Wagner, H. R., Huettel, S. A., Wang, L., & McCarthy, G. (2010). Scan-rescan reliability of subcortical brain volumes derived from automated segmentation. Hum Brain Mapp, 31(11), 1751–1762

PubMed  PubMed Central  Google Scholar 

Patenaude, B., Smith, S. M., Kennedy, D. N., & Jenkinson, M. (2011). A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage, 56(3), 907–922

PubMed  Google Scholar 

Pessoa, L. (2010). Emotion and cognition and the amygdala: from “what is it?“ to “what’s to be done?“. Neuropsychologia, 48(12), 3416–3429

PubMed  PubMed Central  Google Scholar 

RC, O. (1971). The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia, 9(1), 97–113

Google Scholar 

Roy, A. K., Shehzad, Z., Margulies, D. S., Kelly, A. M. C., Uddin, L. Q., Gotimer, K. … Milham, M. P. (2009). Functional connectivity of the human amygdala using resting state fMRI. NeuroImage, 45(2), 614–626

PubMed  Google Scholar 

Sahin, N., Kasap, B., Kirli, U., Yeniceri, N., & Topal, Y. (2018). Assessment of anxiety-depression levels and perceptions of quality of life in adolescents with dysmenorrhea. Reproductive health, 15(1), 13

PubMed  PubMed Central  Google Scholar 

Saygin, Z. M., Osher, D. E., Koldewyn, K., Martin, R. E., Finn, A., Saxe, R. … Sheridan, M. (2015). Structural connectivity of the developing human amygdala.PLoS One, 10(4), e0125170

Seifert, C. L., Magon, S., Sprenger, T., Lang, U. E., Huber, C. G., Denier, N. … Walter, M. (2015). Reduced volume of the nucleus accumbens in heroin addiction. Eur Arch Psychiatry Clin Neurosci, 265(8), 637–645

PubMed  Google Scholar 

Shackman, A. J., Salomons, T. V., Slagter, H. A., Fox, A. S., Winter, J. J., & Davidson, R. J. (2011). The integration of negative affect, pain and cognitive control in the cingulate cortex. Nature reviews. Neuroscience, 12(3), 154–167

CAS  PubMed  PubMed Central  Google Scholar 

Smith, S. M., & Nichols, T. E. (2009). Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage, 44(1), 83–98

PubMed  Google Scholar 

Smith, S. M., Zhang, Y., Jenkinson, M., Chen, J., Matthews, P., Federico, A., & De Stefano, N. (2002). Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage, 17(1), 479–489

PubMed  Google Scholar 

Stewart, K., & Deb, S. (2014). Dysmenorrhoea. Obstetrics, Gynaecology & Reproductive Medicine, 24(10), 296–302

Google Scholar 

Tu, C. H., Niddam, D. M., Chao, H. T., Chen, L. F., Chen, Y. S., Wu, Y. T. … Hsieh, J. C. (2010). Brain morphological changes associated with cyclic menstrual pain. Pain, 150(3), 462–468

PubMed  Google Scholar 

Tu, C. H., Niddam, D. M., Yeh, T. C., Lirng, J. F., Cheng, C. M., Chou, C. C. … Hsieh, J. C. (2013). Menstrual pain is associated with rapid structural alterations in the brain. Pain, 154(9), 1718–1724

PubMed  Google Scholar 

Uematsu, A., Matsui, M., Tanaka, C., Takahashi, T., Noguchi, K., Suzuki, M., & Nishijo, H. (2012). Developmental trajectories of amygdala and hippocampus from infancy to early adulthood in healthy individuals.PLoS One, 7(10), e46970

van den Bogaard, S. J., Dumas, E. M., Ferrarini, L., Milles, J., van Buchem, M. A., van der Grond, J., & Roos, R. A. (2011). Shape analysis of subcortical nuclei in Huntington’s disease, global versus local atrophy–results from the TRACK-HD study. J Neurol Sci, 307(1–2), 60–68

PubMed  Google Scholar 

Wang, L., Wang, X., Wang, W., Chen, C., Ronnennberg, A. G., Guang, W. … Xu, X. (2004). Stress and dysmenorrhoea: a population based prospective study. Occupational and environmental medicine, 61(12), 1021–1026

CAS  PubMed  PubMed Central  Google Scholar 

Wei, S., Chao, H., Tu, C., Li, W., Low, I., Chuang, C. … Hsieh, J. (2016). Changes in functional connectivity of pain modulatory systems in women with primary dysmenorrhea. Pain, 157(1), 92–102

PubMed  Google Scholar 

Winans, S. S., & Scalia, F. (1970). Amygdaloid nucleus: new afferent input from the vomeronasal organ. Science (New York, N.Y.), 170(3955), 330–332

CAS  Google Scholar 

Wu, T. H., Tu, C. H., Chao, H. T., Li, W. C., Low, I., Chuang, C. Y. … Chen, L. F. (2016). Dynamic changes of functional pain connectome in women with primary dysmenorrhea. Scientific reports, 6, 24543

CAS  PubMed  PubMed Central  Google Scholar 

Yamada, K., Adachi, T., Kubota, Y., Takeda, T., & Iseki, M. (2019). Developing a Japanese version of the Injustice Experience Questionnaire-chronic and the contribution of perceived injustice to severity of menstrual pain: a web-based cross-sectional study. BioPsychoSocial medicine, 13, 17

PubMed  PubMed Central  Google Scholar 

Yang, L., Dun, W., Li, K., Yang, J., Wang, K., Liu, H. … Zhang, M. (2019). Altered amygdalar volume and functional connectivity in primary dysmenorrhoea during the menstrual cycle.European journal of pain (London, England), 23(5)

Yu, S., Li, W., Shen, W., Edwards, R. R., Gollub, R. L., Wilson, G. … Gerber, J. (2020). Impaired mesocorticolimbic connectivity underlies increased mechanical pain sensitivity in chronic low back pain. NeuroImage, 116969

Yu, S., Xu, J., Shen, Z., Wang, Y., Wei, W., Guo, X. … Yang, J. (2021). Frequency-Specific Alterations in Brain Function in Patients with Primary Dysmenorrhea. Pain Med

Zung, W. W. (1971). A rating instrument for anxiety disorders. Psychosomatics, 12(6), 371–379

CAS  PubMed  Google Scholar 

Zung, W. W., Richards, C. B., & Short, M. J. (1965). Self-rating depression scale in an outpatient clinic. Further validation of the SDS. Archives of general psychiatry, 13(6), 508–515

CAS  PubMed  Google Scholar