簡易檢索 / 詳目顯示

研究生: 黃瀚生
Huang, Han-Sheng
論文名稱: 芳香療法透過工作記憶誘發痛經緩解之生物標誌物:腦磁圖研究
Aromatherapy Induces Biomarkers of Dysmenorrhea Relief through Working Memory: An MEG Study
指導教授: 廖書賢
Liao, Shu-Hsien
口試委員: 鄭劍廷
Chien, Chiang-Ting
謝振傑
Chieh, Jen-Jie
王立民
Wang, Li-Min
黃裕清
Huang, Yu-Ching
廖書賢
Liao, Shu-Hsien
口試日期: 2024/07/31
學位類別: 博士
Doctor
系所名稱: 光電工程研究所
Graduate Institute of Electro-Optical Engineering
論文出版年: 2024
畢業學年度: 112
語文別: 英文
論文頁數: 80
中文關鍵詞: 腦磁圖芳香療法痛經工作記憶生物標誌物
英文關鍵詞: MEG, aromatherapy, dysmenorrhea, working memory, biomarker
研究方法: 實驗設計法
DOI URL: http://doi.org/10.6345/NTNU202401715
論文種類: 學術論文
相關次數: 點閱:124下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究探討檜木精油芳香療法對經痛的緩解作用,並利用視覺工作記憶任務來探討其背後的神經機制。吾人使用結構性磁振造影(sMRI)和腦磁圖(MEG),來檢測檜木精油芳香療法如何影響女性受試者在腦磁圖掃描期間的視覺工作記憶任務表現。此外,吾人也測量了受試者的任務行為表現(準確率和反應時間),以評估整體工作記憶功能。研究共招募了 24 名健康女性受試者,在非月經期和月經期都進行了視覺工作記憶任務。吾人比較有無使用芳香療法的受試者在神經生理測量方面的表現(腦活化源的時空排列置換檢驗)。統計結果表明,經痛受試者在接受芳香療法後,準確率/反應時間的比率顯著提升,顯示芳香療法可增強經痛者的工作記憶效率。腦磁圖分析提供了視覺工作記憶任務期間誘發反應的高時間分辨率,可以精確判定大腦活動的變化區間。腦活化源定位分析識別出與經痛相關的特定大腦區域,包括記憶相關區域(left entorhinal cortex, inferior temporal gyrus, primary visual cortex, retrosplenial cortex, and presubiculum),這些區域在大腦記憶處理中扮演關鍵角色,在測驗期間可能形成更「簡化」的處理通路,其中刺激物可以輕易地被「匹配」,誘發「記憶痛感」反應;另外還有意識相關區域(insula and claustrum),可能涉及更「複雜」的處理路徑。這些測驗可能需要增加認知努力來識別「不匹配」項,並可能引發與意外刺激相關的情緒或「意識痛感」反應。這些結果表明,工作記憶任務可能作為檜木精油芳香療法緩解經痛效果的媒介角色,透過將特定時間範圍內的腦波能量集中在識別出的腦區。芳香療法可透過調節記憶和意識相關的大腦活動來減輕經痛。在腦磁圖掃描期間使用芳香療法後,這些與記憶和意識相關的大腦區域的活動減少,可能作為經痛緩解的生物標誌物。這些發現為進一步開發檜木精油芳香療法作為經痛的替代療法提供了依據。並對研究痛覺、記憶與意識的交互作用提供了嶄新的視角。

    This study investigated the potential of Hinoki aromatherapy to alleviate dysmenorrhea and identify potential biomarkers of relief through its effects on brain activity during a visual working memory (VWM) task. Structural magnetic resonance imaging and magnetoencephalography (MEG) were used to examine how Hinoki aromatherapy, administered during the MEG session, modulates neurophysiological responses related to working memory. Behavioral performance (accuracy and reaction time) was also measured to assess overall working memory function. Twenty-four healthy participants completed the VWM task during both non-menstruation and menstruation. Neurophysiological measures (permutation t-tests on source data) were evaluated with and without aromatherapy administration. The results revealed a significant improvement in the accuracy-to-reaction time ratio for participants with dysmenorrhea after receiving aromatherapy. This suggests that aromatherapy may enhance working memory efficiency in this population. MEG analysis provided high temporal resolution of evoked responses during the VWM task, allowing for precise determination of brain activity changes. Source localization identified specific brain regions involved in dysmenorrhea, including memory-related areas (left entorhinal cortex, inferior temporal gyrus, primary visual cortex, retrosplenial cortex, and presubiculum) and consciousness-related areas (insula and claustrum). These findings suggest that working memory tasks, by focusing brainwave energy in specific time ranges within the identified brain regions, may act as a mediator for Hinoki aromatherapy's pain-reducing effects. The observed decrease in activity within these memory-related and consciousness-related brain regions following Hinoki aromatherapy administration during the MEG session holds promise for their development as biomarkers of dysmenorrhea relief.

    Chapter 1. Introduction 1 1.1 Dysmenorrhea 1 1.1.1 Prevalence and impact of dysmenorrhea 1 1.1.2 Neural correlates of primary dysmenorrhea 3 1.2 Magnetoencephalography 4 1.2.1 MEG vs. other brain imaging techniques 4 1.2.2 Principles and advantages of MEG for studying brain activity 6 1.3 Working memory 9 1.3.1 The cognitive underpinnings: WM and its components 9 1.3.2 Unveiling the neural correlates: techniques for studying WM 10 1.3.3 Rationale for using numbers as stimuli in visual working memory (VWM) experiment 12 1.4 Aromatherapy 15 1.4.1 Aromatherapy for dysmenorrhea: exploring the potential benefits 15 1.4.2 Evidence for aromatherapy's benefits in managing dysmenorrhea 16 1.5 Pain processing and consciousness 17 1.5.1 Insula: integrating pain, emotion, and cognition for consciousness 17 1.5.2 Claustrum: unveiling a new player in pain and consciousness 19 1.6 Hypotheses 23 1.6.1 Study 1: Memory-related dysmenorrhea relief biomarkers 24 1.6.2 Study 2: Consciousness-related dysmenorrhea relief biomarkers 28 1.7 Thesis Organization 29 Chapter 2. Materials 31 2.1 Participants 31 2.2 VAS score 33 2.3 Experimental design 34 2.4 MEG data acquisition and preprocessing 39 2.5 MRI data acquisition and preprocessing 42 Chapter 3. Methods 43 3.1 Event-related field 43 3.2 Time-frequency 44 3.3 Wave packets of grand average for all participants 45 3.4 dSPM source analysis 46 3.5 Permutation t-tests on source data with spatiotemporal clustering 48 Chapter 4. Results & Discussion 49 4.1 VAS score: dysmenorrhea & Hinoki aromatherapy 49 4.2 WM performance: dysmenorrhea & Hinoki aromatherapy 51 4.3 Region of interest: ERF of VWM response (0.11 - 0.19 s) 54 4.4 Region of interest: VWM late component (8 - 12 Hz) 58 4.5 Region of interest: VWM late component (0.165 - 0.275 s) 61 4.6 Match trials: permutation t-test on source data revealed reduced activity in brain regions involved in dysmenorrhea processing (0.11-0.19 s) during MC with Hinoki aromatherapy 63 4.7 Match trials: permutation t-test on source data revealed reduced activity in brain regions involved in dysmenorrhea processing (0.165-0.275 s) during MC with aromatherapy 66 4.8 Nonmatch trials: permutation t-test on source revealed reduced activity in brain regions involved in dysmenorrhea processing (0.11-0.19 s) during MC with aromatherapy 67 4.9 Potential biomarkers of dysmenorrhea relief 69 Chapter 5. Conclusions 72 References 74

    1. Latthe, P.M., Champaneria, R. "Dysmenorrhoea." BMJ Clin Evid (2014).
    2. Carrascosa, J. P., Horcajadas, J. A., and Moreno-Moya, J. M. "The molecular signature of the endometrial receptivity: research and clinical application." Reproductomics 279–301 (2018).
    3. Serap Ejder Apay MSc, Sevban Arslan, Reva Balci Akpinar, Ayda Celebioglu. "Effect of Aromatherapy Massage on Dysmenorrhea in Turkish Students." Pain Management Nursing, Volume 13, Issue 4, December 2012, Pages 236-240 (2012).
    4. Myeong Soo Lee, Hye Won Lee, Mohamed Khalil, Hyun Suk Lim, Hyun-Ja Lim. "Aromatherapy for Managing Pain in Primary Dysmenorrhea: A Systematic Review of Randomized Placebo-Controlled Trials." J Clin Med (2018).
    5. Li, W.C., Tu, C.H., Chao, H.T., Yeh, T.C., Chen, L.F., Hsieh, J.C. "High prevalence of incidental brain findings in primary dysmenorrhoea." Eur J Pain 19, 1071-1074 (2015).
    6. Tu, C.H., Niddam, D.M., Chao, H.T., Chen, L.F., Chen, Y.S., Wu, Y.T., Yeh, T.C., Lirng, J.F., Hsieh, J.C. "Brain morphological changes associated with cyclic menstrual pain." Pain 150, 462-468 (2010).
    7. Tu, C.H., Niddam, D.M., Yeh, T.C., Lirng, J.F., Cheng, C.M., Chou, C.C., Chao, H.T., Hsieh, J.C. "Menstrual pain is associated with rapid structural alterations in the brain." Pain 154, 1718-1724 (2013).
    8. Wei, S.Y., Chao, H.T., Tu, C.H., Li, W.C., Low, I., Chuang, C.Y., Chen, L.F., Hsieh, J.C. "Changes in functional connectivity of pain modulatory systems in women with primary dysmenorrhea." Pain 157, 92-102 (2016).
    9. Wei, S.Y., Chao, H.T., Tu, C.H., Lin, M.W., Li, W.C., Low, I., Shen, H.D., Chen, L.F., Hsieh, J.C. "The BDNF Val66Met polymorphism is associated with the functional connectivity dynamics of pain modulatory systems in primary dysmenorrhea." Sci Rep 6, 23639 (2016).
    10. Woods, N.F., Mitchell, E.S. "Symptom interference with work and relationships during the menopausal transition and early postmenopause: observations from the Seattle Midlife Women's Health Study." Menopause 18, 654-661 (2011).
    11. Kuen-Lin Chen, Hong-Chang Yang, Sung-Ying Tsai, Yu-Wei Liu, Shu-Hsien Liao, Herng-Er Horng, Yong-Ho Lee, Hyukchan Kwon. "The stability of source localization in a whole-head magnetoencephalography system demonstrated by auditory evoked field measurements." Journal of Applied Physics 110, 074702 (2011).
    12. A.C.Papanicolaou, P.G.Simos, S.Sarkari. "Magnetoencephalography. Encyclopedia of Language & Linguistics (Second Edition) ", Pages 437-444 (2006).
    13. Lystad RP, Pollard H. "Functional neuroimaging: a brief overview and feasibility for use in chiropractic research." J Can Chiropr Assoc. 53(1):59–72 (2009).
    14. Matti Hämäläinen, Riitta Hari, Risto J. Ilmoniemi, Jukka Knuutila, Olli V. Lounasmaa. "Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain." Rev. Mod. Phys 65, 413 (1993).
    15. Aurtenetxe, S., Molinaro, N., Davidson, D., & Carreiras, M. "Early dissociation of numbers and letters in the human brain." Cortex 130, 192-202 (2020).
    16. Gross, J. "Magnetoencephalography in cognitive neuroscience: a primer." Neuron 104, 189–204 (2019).
    17. Baddeley, A. "Working memory: theories, models, and controversies." Annu Rev Psychol 63, 1-29 (2012).
    18. Joseph, J.E., Swearingen, J.E., Corbly, C.R., Curry, T.E., Jr., Kelly, T.H. "Influence of estradiol on functional brain organization for working memory." Neuroimage 59, 2923-2931 (2012).
    19. Alan Baddeley. "Working memory: looking back and looking forward." Nature Reviews Neuroscience 4, 829–839 (2003).
    20. Baddeley, A. "Working memory." Current biology, 20(4), R136-R140 (2010).
    21. Hari, R., Salmelin, R. "Magnetoencephalography: From SQUIDs to neuroscience." Neuroimage 61, 386-396 (2012).
    22. Ahonen, L., Huotilainen, M., Brattico, E. "Within- and between-session replicability of cognitive brain processes: An MEG study with an N-back task." Physiol Behav 158, 43-53 (2016).
    23. Rossion, B., Joyce, C., Cottrell, G., Tarr, M. "Early lateralization and orientation tuning for face, word, and object processing in the visual cortex." NeuroImage 20, 1609-1924 (2003).
    24. Mnatsakanian, E.V., Tarkka, I.M. "Familiar-face recognition and comparison: source analysis of scalp-recorded event-related potentials." Clin Neurophysiol. 115(4):880-6 (2004).
    25. Deffke, I., Sander, T., Heidenreich, J., Sommer, W., Curio, G., Trahms, L., Lueschow, A. "MEG/EEG sources of the 170-ms response to faces are co-localized in the fusiform gyrus." Neuroimage. 35(4), 1495-501 (2007).
    26. Halgren, E., Raij, T., Marinkovic, K., Jousmäki, V., Hari, R. "Cognitive response profile of the human fusiform face area as determined by MEG." Cereb Cortex 10, 69-81 (2000).
    27. Shum, J., Hermes, D., Foster, B. L., Dastjerdi, M., Rangarajan, V., Winawer, J., ... & Parvizi, J. "A brain area for visual numerals." Journal of Neuroscience 33(16), 6709-6715 (2013).
    28. Nicolas Burra, Sara Baker, Nathalie George. "Processing of gaze direction within the N170/M170 time window: A combined EEG/MEG study." Neuropsychologia, Volume 100, June 2017, Pages 207-219 (2017).
    29. Alison M. Harris, Bradley C. Duchaine, Ken Nakayama. "Normal and abnormal face selectivity of the M170 response in developmental prosopagnosics." Neuropsychologia, Volume 43, Issue 14, 2005, Pages 2125-2136 (2005).
    30. Sun, J.L., Huang, M.Y., Sung, M.S., Wang, H.H. "Aromatherapy for dysmenorrhea." Hu Li Za Zhi 52, 59-64 (2005).
    31. Raisi Dehkordi, Z., Hosseini Baharanchi, F.S., Bekhradi, R. "Effect of lavender inhalation on the symptoms of primary dysmenorrhea and the amount of menstrual bleeding: A randomized clinical trial." Complement Ther Med 22, 212-219 (2014).
    32. Song, J.A., Lee, M.K., Min, E., Kim, M.E., Fike, G., Hur, M.H. "Effects of aromatherapy on dysmenorrhea: A systematic review and meta-analysis." Int J Nurs Stud 84, 1-11 (2018).
    33. Erin Frost MD, Daniel A. Ostrovsky MD. "Aromatherapy May Reduce Menstrual Pain in Women With Primary Dysmenorrhea." EXPLORE, Volume 15, Issue 3, May–June 2019, Pages 241-242 (2019).
    34. Xiong, M., Li, Y., Tang, P., Zhang, Y., Cao, M., Ni, J., et al. “Effectiveness of Aromatherapy Massage and Inhalation on Symptoms of Depression in Chinese Community-Dwelling Older Adults.”, J. Altern. Complement. Med. 24, 717–724 (2018).
    35. S.A. Koohpayeh, M. Hosseini, M. Nasiri, M. Rezaei, “Effects of Rosa damascene (Damask rose) on menstruation-related pain, headache, fatigue, anxiety, and bloating: a systematic review and meta-analysis of randomized controlled trials”, J Educ Health Promot, 30 (10), p. 272 (2021).
    36. Chen, C.J., Kumar, K.J., Chen, Y.T., Tsao, N.W., Chien, S.C., Chang, S.T., Chu, F.H., Wang, S.Y., "Effect of Hinoki and Meniki Essential Oils on Human Autonomic Nervous System Activity and Mood States" Nat Prod Commun (2015).
    37. Ikei, H., Song, C., Miyazaki, Y., "Physiological effect of olfactory stimulation by Hinoki cypress (Chamaecyparis obtusa) leaf oil" J Physiol Anthropol (2015).
    38. Droutman, V., Bechara, A., & Read, S. J., "Roles of the different sub-regions of the insular cortex in various phases of the decision-making process" Frontiers in Behavioral Neuroscience (2015).
    39. Lee, P. S., Low, I., Chen, Y. S., Tu, C. H., Chao, H. T., Hsieh, J. C., et al., "Encoding of menstrual pain experience with theta oscillations in women with primary dysmenorrhea" Sci. Rep. (2017).
    40. Garcia-Larrea, L.; Bastuji, H., "Pain and consciousness" Prog. Neuro-Psychopharmacol. Biol. Psychiatry (2018).
    41. Huang, Z. et al., "Anterior insula regulates brain network transitions that gate conscious access" Cell Rep. (2021).
    42. Wylie, K.P., Tregellas, J.R., "The role of the insula in schizophrenia" Schizophr Res. (2010).
    43. Wong, K. L. L., Nair, A., and Augustine, G. J., "Changing the cortical conductor’s tempo: Neuromodulation of the claustrum" Front. Neural Circuits (2021).
    44. Bajada, C. J., Ralph, M. A. L., and Cloutman, L. L., "Transport for language south of the Sylvian fissure: the routes and history of the main tracts and stations in the ventral language network" Cortex (2015).
    45. Brent W. Stewart, Michael L. Keaser, Hwiyoung Lee, Sarah M. Margerison, Matthew A. Cormie, Massieh Moayedi, Martin A. Lindquist, Shuo Chen, Brian N. Mathur, David A. Seminowicz, "Pathological claustrum activity drives aberrant cognitive network processing in human chronic pain" Current Biology (2024).
    46. Yin, B., Terhune, D.B., Smythies, J., Meck, W.H., "Claustrum, consciousness, and time perception" Curr Opin Behav Sci (2016).
    47. Liaw, Y.S.; Augustine, G.J., "The claustrum and consciousness: An update" Int. J. Clin. Health Psychol. (2023).
    48. Stevens, C.F., "Crick and the claustrum" Nature (2005).
    49. Rashbrook, Oliver, "The continuity of consciousness" European Journal of Philosophy (2013).
    50. Nikolenko, V.N., Rizaeva, N.A., Beeraka, N.M. et al., "The mystery of claustral neural circuits and recent updates on its role in neurodegenerative pathology" Behav Brain Funct (2021).
    51. Brawn, J., Morotti, M., Zondervan, K.T., Becker, C.M., Vincent, K., "Central changes associated with chronic pelvic pain and endometriosis" Hum Reprod Update (2014).
    52. Li, W.C., Chao, H.T., Lin, M.W., Shen, H.D., Chen, L.F., Hsieh, J.C., "Neuroprotective effect of Val variant of BDNF Val66Met polymorphism on hippocampus is modulated by the severity of menstrual pain" NeuroImage Clinic. (2021).
    53. Rolls, E.T., Deco, G., Huang, C-C., Feng, J., "The human language effective connectome" Neuroimage (2022).
    54. Wei, H.L., Li, J., Guo, X., Zhou, G.P., Wang, J.J., Chen, Y.C., et al., "Functional connectivity of the visual cortex differentiates anxiety comorbidity from episodic migraineurs without aura" J Headache Pain (2021).
    55. Lee, L. C. et al. “Unaltered intrinsic functional brain architecture in young women with primary dysmenorrhea.” Sci. Rep. 8, 12971 (2018).
    56. Mannix, L.K., "Menstrual-related pain conditions: dysmenorrhea and migraine" J Womens Health (Larchmt) (2008).
    57. Deeny, S.P., Poeppel, D., Zimmerman, J.B., Roth, S.M., Brandauer, J., Witkowski, S., Hearn, J.W., Ludlow, A.T., Contreras-Vidal, J.L., Brandt, J., Hatfield, B.D., "Exercise, APOE, and working memory: MEG and behavioral evidence for benefit of exercise in epsilon4 carriers" Biol Psychol (2008).
    58. Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A. Engemann, Daniel Strohmeier, Christian Brodbeck, Roman Goj, Mainak Jas, Teon Brooks, Lauri Parkkonen, and Matti S. Hämäläinen, "MEG and EEG data analysis with MNE-Python" Frontiers in Neuroscience (2013).
    59. M. Jas, E. Larson, D.A. Engemann, J. Leppäkangas, S. Taulu, M. Hämäläinen, A. Gramfort, "A reproducible MEG/EEG group study with the MNE software: Recommendations, quality assessments, and good practices" Front. Neurosci. (2018)
    60. Fred, A.L.; Kumar, S.N.; Kumar Haridhas, A.; Ghosh, S.; Purushothaman Bhuvana, H.; Sim, W.K.J.; Vimalan, V.; Givo, F.A.S.; Jousmäki, V.; Padmanabhan, P.; et al., "A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications" Brain Sci. (2022).
    61. Taulu, S., Kajola, M., Simola, J., "Suppression of interference and artifacts by the signal space separation method" Brain Topogr. (2004).
    62. Fischl, B., "Freesurfer" Neuroimage (2012).
    63. Valentini, E., Nicolardi, V., Aglioti, S.M., "Painful engrams: Oscillatory correlates of working memory for phasic nociceptive laser stimuli" Brain Cogn (2017).
    64. Berryman, C., Stanton, T.R., Jane Bowering, K., Tabor, A., McFarlane, A., Lorimer Moseley, G., "Evidence for working memory deficits in chronic pain: a systematic review and meta-analysis" Pain (2013).
    65. Tarkiainen, A., Cornelissen, P.L., Salmelin, R., "Dynamics of visual feature analysis and object-level processing in face versus letter-string perception" Brain (2002).

    無法下載圖示 電子全文延後公開
    2029/08/11
    QR CODE