Abstract
Neuroimaging studies have displayed aberrant brain activities in individual sensory- and emotional-linked regions in postherpetic neuralgia (PHN) patients. However, multi-dimensional dysfunction in chronic pain may rely on the interplay between networks. Little is known about the changes in the functional architecture of resting state networks (RSNs) in PHN. In this cross-sectional study, we recruited 31 PHN patients, 33 RHZ patients and 34 HCs; all participants underwent resting-state functional magnetic resonance imaging scans. We investigated the differences of within- and cross-network connectivities between different outcomes of HZ patients [including PHN and recuperation from herpes zoster (RHZ)] and healthy controls (HCs) so as to extract a characteristic network pattern of PHN. The abnormal network connectivities were then correlated with clinical variables in respective groups. PHN and RHZ patients could be similarly characterized by abnormal within-default mode network (DMN), DMN-salience network (SN) and SN-basal ganglia network (BGN) connectivity relative to HCs. Of note, compared with RHZ patients, PHN patients could be characterized by abnormal DMN–BGN and within-BGN connectivity. Furthermore, the within-DMN connectivity was associated with pain-induced emotional scores among PHN patients. Our study presented that network-level imbalance could account for the pain-related dysfunctions in different outcomes of herpes zoster patients. These insights are potentially useful for understanding neuromechanism of PHN and providing central therapeutic targets for PHN.
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Abbreviations
- BGN:
-
Basal ganglia network
- DMN:
-
Default mode network
- EPI:
-
Echo planar imaging
- ERN:
-
Emotion regulation network
- FC:
-
Functional connectivity
- FDR:
-
False discovery rate
- fMRI:
-
Functional magnetic resonance imaging
- FOV:
-
Field of view
- HAMA:
-
Hamilton anxiety scale
- HAMD:
-
Hamilton depression scale
- HCs:
-
Healthy controls
- HZ:
-
Herpes zoster
- IASP:
-
International Association for the Study of Pain
- IC:
-
Insula cortex
- ICA:
-
Independent components analysis
- MNI:
-
Montreal Neurological Institute
- mPFC:
-
Medial prefrontal cortex
- MPQ:
-
McGill pain questionnaire
- NAc:
-
Nucleus accumbens
- PAG:
-
Periaqueductal gray
- PANAS:
-
Positive Affect Negative Affect Score
- PCC:
-
Posterior cingulate cortex
- PHN:
-
Postherpetic neuralgia
- RHZ:
-
Recuperation from herpes zoster
- ROI:
-
Regions of interest
- RSN:
-
Resting state network
- SD:
-
Standard deviation
- SF-36:
-
Medical Outcomes Study 36-item short form from health survey
- SN:
-
Salience network
- S1/S2:
-
Primary and second somatosensory
- TE:
-
Echo time
- TMD:
-
Temporomandibular disorder
- TR:
-
Repetition time
- VAS:
-
Visual analog scale
- vmPFC:
-
Ventral medial prefrontal cortex
References
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014). Tracking whole-brain connectivity dynamics in the resting state. Cerebral Cortex, 24(3), 663–676. https://doi.org/10.1093/cercor/bhs352
Allen, E. A., Erhardt, E. B., Damaraju, E., Gruner, W., Segall, J. M., Silva, R. F., & Calhoun, V. D. (2011). A baseline for the multivariate comparison of resting-state networks. Frontiers in Systems Neuroscience, 5, 2. https://doi.org/10.3389/fnsys.2011.00002
Alshelh, Z., Marciszewski, K. K., Akhter, R., Di Pietro, F., Mills, E. P., Vickers, E. R., & Henderson, L. A. (2018). Disruption of default mode network dynamics in acute and chronic pain states. Neuroimage: Clinical, 17, 222–231. https://doi.org/10.1016/j.nicl.2017.10.019
Anderson, A. K., Christoff, K., Stappen, I., Panitz, D., Ghahremani, D. G., Glover, G., & Sobel, N. (2003). Dissociated neural representations of intensity and valence in human olfaction. Nature Neuroscience, 6(2), 196–202. https://doi.org/10.1038/nn1001
Anderson, J. S., Ferguson, M. A., Lopez-Larson, M., & Yurgelun-Todd, D. (2011). Connectivity gradients between the default mode and attention control networks. Brain Connect, 1(2), 147–157. https://doi.org/10.1089/brain.2011.0007
Apkarian, A. V., Baliki, M. N., & Farmer, M. A. (2013). Predicting transition to chronic pain. Current Opinion in Neurology, 26(4), 360–367. https://doi.org/10.1097/WCO.0b013e32836336ad
Apkarian, A. V., Hashmi, J. A., & Baliki, M. N. (2011). Pain and the brain: Specificity and plasticity of the brain in clinical chronic pain. Pain, 152(3 Suppl), S49-64. https://doi.org/10.1016/j.pain.2010.11.010
Azqueta-Gavaldon, M., Schulte-Gocking, H., Storz, C., Azad, S., Reiners, A., Borsook, D., & Kraft, E. (2017). Basal ganglia dysfunction in complex regional pain syndrome - A valid hypothesis? European Journal of Pain, 21(3), 415–424. https://doi.org/10.1002/ejp.975
Azqueta-Gavaldon, M., Youssef, A. M., Storz, C., Lemme, J., Schulte-Gocking, H., Becerra, L., & Kraft, E. (2020). Implications of the putamen in pain and motor deficits in complex regional pain syndrome. Pain, 161(3), 595–608. https://doi.org/10.1097/j.pain.0000000000001745
Baliki, M. N., Geha, P. Y., Apkarian, A. V., & Chialvo, D. R. (2008). Beyond feeling: Chronic pain hurts the brain, disrupting the default-mode network dynamics. Journal of Neuroscience, 28(6), 1398–1403. https://doi.org/10.1523/Jneurosci.4123-07.2008
Baliki, M. N., Geha, P. Y., Fields, H. L., & Apkarian, A. V. (2010). Predicting value of pain and analgesia: Nucleus accumbens response to noxious stimuli changes in the presence of chronic pain. Neuron, 66(1), 149–160. https://doi.org/10.1016/j.neuron.2010.03.002
Baliki, M. N., Mansour, A., Baria, A. T., Huang, L. J., Berger, S. E., Fields, H. L., & Apkarian, A. V. (2013). Parceling human accumbens into putative core and shell dissociates encoding of values for reward and pain. Journal of Neuroscience, 33(41), 16383–16393. https://doi.org/10.1523/Jneurosci.1731-13.2013
Baliki, M. N., Petre, B., Torbey, S., Herrmann, K. M., Huang, L. J., Schnitzer, T. J., & Apkarian, A. V. (2012). Corticostriatal functional connectivity predicts transition to chronic back pain. Nature Neuroscience, 15(8), 1117. https://doi.org/10.1038/nn.3153
Ballmaier, M., Schlagenhauf, F., Toga, A. W., Gallinat, J., Koslowski, M., Zoli, M., & Heinz, A. (2008). Regional patterns and clinical correlates of basal ganglia morphology in non-medicated schizophrenia. Schizophrenia Research, 106(2–3), 140–147. https://doi.org/10.1016/j.schres.2008.08.025
Barthas, F., Sellmeijer, J., Hugel, S., Waltisperger, E., Barrot, M., & Yalcin, I. (2015). The anterior cingulate cortex is a critical hub for pain-induced depression. Biological Psychiatry, 77(3), 236–245. https://doi.org/10.1016/j.biopsych.2014.08.004
Bassett, D. S., & Sporns, O. (2017). Network neuroscience. Nature Neuroscience, 20(3), 353–364. https://doi.org/10.1038/nn.4502
Bolwerk, A., Seifert, F., & Maihofner, C. (2013). Altered resting-state functional connectivity in complex regional pain syndrome. Journal of Pain, 14(10), 1107–1115. https://doi.org/10.1016/j.jpain.2013.04.007
Borsook, D., Upadhyay, J., Chudler, E. H., & Becerra, L. (2010). A key role of the basal ganglia in pain and analgesia—insights gained through human functional imaging. Molecular Pain, 6, 1744–8069. https://doi.org/10.1186/1744-8069-6-27
Buhle, J. T., Silvers, J. A., Wager, T. D., Lopez, R., Onyemekwu, C., Kober, H., & Ochsner, K. N. (2014). Cognitive reappraisal of emotion: A meta-analysis of human neuroimaging studies. Cerebral Cortex, 24(11), 2981–2990. https://doi.org/10.1093/cercor/bht154
Bushnell, M. C., Ceko, M., & Low, L. A. (2013). Cognitive and emotional control of pain and its disruption in chronic pain. Nature Reviews Neuroscience, 14(7), 502–511. https://doi.org/10.1038/nrn3516
Cao, B., Cho, R. Y., Chen, D., Xiu, M., Wang, L., Soares, J. C., & Zhang, X. Y. (2020). Treatment response prediction and individualized identification of first-episode drug-naive schizophrenia using brain functional connectivity. Molecular Psychiatry, 25(4), 906–913. https://doi.org/10.1038/s41380-018-0106-5
Cao, S., Li, Y., Deng, W. W., Qin, B. Y., Zhang, Y., Xie, P., & Yu, T. (2017). Local brain activity differences between herpes zoster and postherpetic neuralgia patients: A resting-state functional MRI study. Pain Physician, 20(5), E687–E699.
Cavanna, A. E., & Trimble, M. R. (2006). The precuneus: A review of its functional anatomy and behavioural correlates. Brain, 129(Pt 3), 564–583. https://doi.org/10.1093/brain/awl004
Christidi, F., Karavasilis, E., Michels, L., Riederer, F., Velonakis, G., Anagnostou, E., & Kararizou, E. (2019). Dimensions of pain catastrophising and specific structural and functional alterations in patients with chronic pain: Evidence in medication-overuse headache. World Journal of Biological Psychiatry. https://doi.org/10.1080/15622975.2019.1669822
Chudler, E. H., & Dong, W. K. (1995). The role of the basal ganglia in nociception and pain. Pain, 60(1), 3–38. https://doi.org/10.1016/0304-3959(94)00172-b
Cropley, V. L., Fujita, M., Innis, R. B., & Nathan, P. J. (2006). Molecular imaging of the dopaminergic system and its association with human cognitive function. Biological Psychiatry, 59(10), 898–907. https://doi.org/10.1016/j.biopsych.2006.03.004
Doan, L., Manders, T., & Wang, J. (2015). Neuroplasticity underlying the comorbidity of pain and depression. Neural Plasticity, 2015, 504691. https://doi.org/10.1155/2015/504691
Drolet, M., Brisson, M., Schmader, K. E., Levin, M. J., Johnson, R., Oxman, M. N., & Mansi, J. A. (2010). The impact of herpes zoster and postherpetic neuralgia on health-related quality of life: A prospective study. CMAJ, 182(16), 1731–1736. https://doi.org/10.1503/cmaj.091711
Duan, M., Chen, X., He, H., Jiang, Y., Jiang, S., Xie, Q., & Yao, D. (2015). Altered Basal Ganglia Network integration in schizophrenia. Frontiers in Human Neuroscience, 9, 561. https://doi.org/10.3389/fnhum.2015.00561
Erpelding, N., & Davis, K. D. (2013). Neural underpinnings of behavioural strategies that prioritize either cognitive task performance or pain. Pain, 154(10), 2060–2071. https://doi.org/10.1016/j.pain.2013.06.030
Fardo, F., Allen, M., Jegindo, E. M. E., Angrilli, A., & Roepstorff, A. (2015). Neurocognitive evidence for mental imagery-driven hypoalgesic and hyperalgesic pain regulation. NeuroImage, 120, 350–361. https://doi.org/10.1016/j.neuroimage.2015.07.008
Forbes, H. J., Thomas, S. L., Smeeth, L., Clayton, T., Farmer, R., Bhaskaran, K., & Langan, S. M. (2016). A systematic review and meta-analysis of risk factors for postherpetic neuralgia. Pain, 157(1), 30–54. https://doi.org/10.1097/j.pain.0000000000000307
Fox, M. D., & Raichle, M. E. (2007). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature Reviews Neuroscience, 8(9), 700–711. https://doi.org/10.1038/nrn2201
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Science of the Unites States of America, 102(27), 9673–9678. https://doi.org/10.1073/pnas.0504136102
Fox, M. D., Zhang, D. Y., Snyder, A. Z., & Raichle, M. E. (2009). The global signal and observed anticorrelated resting state brain networks. Journal of Neurophysiology, 101(6), 3270–3283. https://doi.org/10.1152/jn.90777.2008
Freund, W., Klug, R., Weber, F., Stuber, G., Schmitz, B., & Wunderlich, A. P. (2009). Perception and suppression of thermally induced pain: A fMRI study. Somatosensory and Motor Research, 26(1), 1–10. https://doi.org/10.1080/08990220902738243
Geha, P. Y., Baliki, M. N., Chialvo, D. R., Harden, R. N., Paice, J. A., & Apkarian, A. V. (2007). Brain activity for spontaneous pain of postherpetic neuralgia and its modulation by lidocaine patch therapy. Pain, 128(1–2), 88–100. https://doi.org/10.1016/j.pain.2006.09.014
Geha, P. Y., Baliki, M. N., Harden, R. N., Bauer, W. R., Parrish, T. B., & Apkarian, A. V. (2008a). The brain in chronic CRPS pain: Abnormal gray-white matter interactions in emotional and autonomic regions. Neuron, 60(4), 570–581. https://doi.org/10.1016/j.neuron.2008.08.022
Geha, P. Y., Baliki, M. N., Wang, X., Harden, R. N., Paice, J. A., & Apkarian, A. V. (2008b). Brain dynamics for perception of tactile allodynia (touch-induced pain) in postherpetic neuralgia. Pain, 138(3), 641–656. https://doi.org/10.1016/j.pain.2008.02.021
Hemington, K. S., Rogachov, A., Cheng, J. C., Bosma, R. L., Kim, J. A., Osborne, N. R., & Davis, K. D. (2018). Patients with chronic pain exhibit a complex relationship triad between pain, resilience, and within-and cross-network functional connectivity of the default mode network. Pain, 159(8), 1621–1630. https://doi.org/10.1097/j.pain.0000000000001252
Hemington, K. S., Wu, Q., Kucyi, A., Inman, R. D., & Davis, K. D. (2016). Abnormal cross-network functional connectivity in chronic pain and its association with clinical symptoms. Brain Structure & Function, 221(8), 4203–4219. https://doi.org/10.1007/s00429-015-1161-1
Herrero, M. T., Barcia, C., & Navarro, J. M. (2002). Functional anatomy of thalamus and basal ganglia. Childs Nervous System, 18(8), 386–404. https://doi.org/10.1007/s00381-002-0604-1
Johnson, R. W., Bouhassira, D., Kassianos, G., Leplege, A., Schmader, K. E., & Weinke, T. (2010). The impact of herpes zoster and post-herpetic neuralgia on quality-of-life. BMC Medicine, 8, 37. https://doi.org/10.1186/1741-7015-8-37
Jollant, F., Perreira, F., Fiori, L. M., Richard-Devantoy, S., Lutz, P. E., Belzeaux, R., & Turecki, G. (2020). Neural and molecular correlates of psychological pain during major depression, and its link with suicidal ideas. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 100, 109909. https://doi.org/10.1016/j.pnpbp.2020.109909
Jones, S. A., Morales, A. M., Holley, A. L., Wilson, A. C., & Nagel, B. J. (2020). Default mode network connectivity is related to pain frequency and intensity in adolescents. Neuroimage-Clinical, 27, 102326. https://doi.org/10.1016/j.nicl.2020.102326
Kohn, N., Eickhoff, S. B., Scheller, M., Laird, A. R., Fox, P. T., & Habel, U. (2014). Neural network of cognitive emotion regulation–an ALE meta-analysis and MACM analysis. NeuroImage, 87, 345–355. https://doi.org/10.1016/j.neuroimage.2013.11.001
Kucyi, A., Moayedi, M., Weissman-Fogel, I., Goldberg, M. B., Freeman, B. V., Tenenbaum, H. C., & Davis, K. D. (2014). Enhanced medial prefrontal-default mode network functional connectivity in chronic pain and its association with pain rumination. Journal of Neuroscience, 34(11), 3969–3975. https://doi.org/10.1523/JNEUROSCI.5055-13.2014
Kucyi, A., Salomons, T. V., & Davis, K. D. (2013). Mind wandering away from pain dynamically engages antinociceptive and default mode brain networks. Proceedings of the National Academy of Science of the Unites States of America, 110(46), 18692–18697. https://doi.org/10.1073/pnas.1312902110
Lehericy, S., Ducros, M., Van de Moortele, P. F., Francois, C., Thivard, L., Poupon, C., & Kim, D. S. (2004). Diffusion tensor fiber tracking shows distinct Corticostriatal circuits in humans. Annals of Neurology, 55(4), 522–529. https://doi.org/10.1002/ana.20030
Letzen, J. E., Craggs, J. G., Perlstein, W. M., Price, D. D., & Robinson, M. E. (2013). Functional connectivity of the default mode network and its association with pain networks in irritable bowel patients assessed via lidocaine treatment. Journal of Pain, 14(10), 1077–1087. https://doi.org/10.1016/j.jpain.2013.04.003
Lin, C., Lee, S. H., & Weng, H. H. (2016). Gray matter atrophy within the default mode network of fibromyalgia: A meta-analysis of voxel-based morphometry studies. Biomed Research International. https://doi.org/10.1155/2016/7296125
Liu, J., Hao, Y., Du, M. Y., Wang, X. Y., Zhang, J., Manor, B., & Wang, D. X. (2013). Quantitative cerebral blood flow mapping and functional connectivity of postherpetic neuralgia pain: A perfusion fMRI study. Pain, 154(1), 110–118. https://doi.org/10.1016/j.pain.2012.09.016
Loggia, M. L., Kim, J., Gollub, R. L., Vangel, M. G., Kirsch, I., Kong, J., & Napadow, V. (2013). Default mode network connectivity encodes clinical pain: An arterial spin labeling study. Pain, 154(1), 24–33. https://doi.org/10.1016/j.pain.2012.07.029
Luo, Y. M., Kong, F., Qi, S. Q., You, X. Q., & Huang, X. T. (2016). Resting-state functional connectivity of the default mode network associated with happiness. Social Cognitive and Affective Neuroscience, 11(3), 516–524. https://doi.org/10.1093/scan/nsv132
Malhi, G. S., Das, P., Outhred, T., Bryant, R. A., Calhoun, V., & Mann, J. J. (2019). Default mode dysfunction underpins suicidal activity in mood disorders. Psychological Medicine. https://doi.org/10.1017/S0033291719001132
Malhi, G. S., Outhred, T., Das, P., Morris, G., Hamilton, A., & Mannie, Z. (2018). Modeling suicide in bipolar disorders. Bipolar Disorders, 20(4), 334–348. https://doi.org/10.1111/bdi.12622
Mansour, A. R., Baliki, M. N., Huang, L. J., Torbey, S., Herrmann, K. M., Schnitzer, T. J., & Apkarian, A. V. (2013). Brain white matter structural properties predict transition to chronic pain. Pain, 154(10), 2160–2168. https://doi.org/10.1016/j.pain.2013.06.044
Mohr, C., Leyendecker, S., Mangels, I., Machner, B., Sander, T., & Helmchen, C. (2008). Central representation of cold-evoked pain relief in capsaicin induced pain: An event-related fMRI study. Pain, 139(2), 416–430. https://doi.org/10.1016/j.pain.2008.05.020
Napadow, V., Kim, J., Clauw, D. J., & Harris, R. E. (2012). Decreased intrinsic brain connectivity is associated with reduced clinical pain in fibromyalgia. Arthritis and Rheumatism, 64(7), 2398–2403. https://doi.org/10.1002/art.34412
Napadow, V., LaCount, L., Park, K., As-Sanie, S., Clauw, D. J., & Harris, R. E. (2010). Intrinsic brain connectivity in fibromyalgia is associated with chronic pain intensity. Arthritis and Rheumatism, 62(8), 2545–2555. https://doi.org/10.1002/art.27497
Nusslock, R., Brody, G. H., Armstrong, C. C., Carroll, A. L., Sweet, L. H., Yu, T., & Miller, G. E. (2019). Higher peripheral inflammatory signaling associated with lower resting-state functional brain connectivity in emotion regulation and central executive networks. Biological Psychiatry, 86(2), 153–162. https://doi.org/10.1016/j.biopsych.2019.03.968
Ochsner, K. N., Silvers, J. A., & Buhle, J. T. (2012). Functional imaging studies of emotion regulation: A synthetic review and evolving model of the cognitive control of emotion. Annals of the New York Academy of Sciences, 1251, E1-24. https://doi.org/10.1111/j.1749-6632.2012.06751.x
Peer, M., Salomon, R., Goldberg, I., Blanke, O., & Arzy, S. (2015). Brain system for mental orientation in space, time, and person. Proceedings of the National Academy of Science of the Unites States of America, 112(35), 11072–11077. https://doi.org/10.1073/pnas.1504242112
Peyron, R., Laurent, B., & Garcia-Larrea, L. (2000). Functional imaging of brain responses to pain. A review and meta-analysis. Neurophysiologie Clinique-Clinical Neurophysiology, 30(5), 263–288. https://doi.org/10.1016/S0987-7053(00)00227-6
Porcaro, C., Di Renzo, A., Tinelli, E., Di Lorenzo, G., Parisi, V., Caramia, F., & Coppola, G. (2020). Haemodynamic activity characterization of resting state networks by fractal analysis and thalamocortical morphofunctional integrity in chronic migraine. Journal of Headache and Pain, 21(1), 1–11.
Raichle, M. E. (2015). The Brain’s default mode network. Annual Review of Neuroscience, 38(38), 433–447. https://doi.org/10.1146/annurev-neuro-071013-014030
Robinson, S., Basso, G., Soldati, N., Sailer, U., Jovicich, J., Bruzzone, L., & Moser, E. (2009). A resting state network in the motor control circuit of the basal ganglia. Bmc Neuroscience. https://doi.org/10.1186/1471-2202-10-137
Rogers, M. L., & Joiner, T. E. (2017). Rumination, suicidal ideation, and suicide attempts: A meta-analytic review. Review of General Psychology, 21(2), 132–142. https://doi.org/10.1037/gpr0000101
Schneider, I., Schmitgen, M. M., Boll, S., Roth, C., Nees, F., Usai, K., & Wolf, R. C. (2020). Oxytocin modulates intrinsic neural activity in patients with chronic low back pain. European Journal of Pain, 24(5), 945–955. https://doi.org/10.1002/ejp.1543
Scholz, J., Finnerup, N. B., Attal, N., Aziz, Q., Baron, R., & Bennett, M. I. (2019). The IASP classification of chronic pain for ICD-11: Chronic neuropathic pain. Pain, 160(1), 53–59. https://doi.org/10.1097/j.pain.0000000000001365
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., & Greicius, M. D. (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. Journal of Neuroscience, 27(9), 2349–2356. https://doi.org/10.1523/JNEUROSCI.5587-06.2007
Serafini, R. A., Pryce, K. D., & Zachariou, V. (2020). The mesolimbic dopamine system in chronic pain and associated affective comorbidities. Biological Psychiatry, 87(1), 64–73. https://doi.org/10.1016/j.biopsych.2019.10.018
Sheline, Y. I., Barch, D. M., Price, J. L., Rundle, M. M., Vaishnavi, S. N., Snyder, A. Z., & Raichle, M. E. (2009). The default mode network and self-referential processes in depression. Proceedings of the National Academy of Science of the Unites States of America, 106(6), 1942–1947. https://doi.org/10.1073/pnas.0812686106
Shirer, W. R., Ryali, S., Rykhlevskaia, E., Menon, V., & Greicius, M. D. (2012). Decoding subject-driven cognitive states with whole-brain connectivity patterns. Cerebral Cortex, 22(1), 158–165. https://doi.org/10.1093/cercor/bhr099
Shokouhi, M., Davis, K. D., Moulin, D. E., Morley-Forster, P., Nielson, W. R., Bureau, Y., & St Lawrence, K. (2016). Basal ganglia perfusion in fibromyalgia is related to pain disability and disease impact an arterial spin labeling study. Clinical Journal of Pain, 32(6), 495–505. https://doi.org/10.1097/Ajp.0000000000000295
Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., & Van Essen, D. C. (2013). Functional connectomics from resting-state fMRI. Trends in Cognitive Sciences, 17(12), 666–682. https://doi.org/10.1016/j.tics.2013.09.016
Spreng, R. N., & Grady, C. L. (2010). Patterns of brain activity supporting autobiographical memory, prospection, and theory of mind, and their relationship to the default mode network. Journal of Cognitive Neuroscience, 22(6), 1112–1123. https://doi.org/10.1162/jocn.2009.21282
Tagliazucchi, E., Balenzuela, P., Fraiman, D., & Chialvo, D. R. (2010). Brain resting state is disrupted in chronic back pain patients. Neuroscience Letters, 485(1), 26–31. https://doi.org/10.1016/j.neulet.2010.08.053
Tu, Y. H., Jung, M. Y., Gollub, R. L., Napadow, V., Gerber, J., Ortiz, A., & Kong, J. (2019). Abnormal medial prefrontal cortex functional connectivity and its association with clinical symptoms in chronic low back pain. Pain, 160(6), 1308–1318. https://doi.org/10.1097/j.pain.0000000000001507
Vachon-Presseau, E., Centeno, M. V., Ren, W., Berger, S. E., Tetreault, P., Ghantous, M., & Apkarian, A. V. (2016a). The emotional brain as a predictor and amplifier of chronic pain. Journal of Dental Research, 95(6), 605–612. https://doi.org/10.1177/0022034516638027
Vachon-Presseau, E., Tetreault, P., Petre, B., Huang, L. J., Berger, S. E., Torbey, S., & Apkarian, A. V. (2016b). Corticolimbic anatomical characteristics predetermine risk for chronic pain. Brain, 139, 1958–1970. https://doi.org/10.1093/brain/aww100
van Ettinger-Veenstra, H., Lundberg, P., Alfoldi, P., Sodermark, M., Graven-Nielsen, T., Sjors, A., & Gerdle, B. (2019). Chronic widespread pain patients show disrupted cortical connectivity in default mode and salience networks, modulated by pain sensitivity. Journal of Pain Research, 12, 1743–1755. https://doi.org/10.2147/Jpr.S189443
Weaver, B. A. (2007). The burden of herpes zoster and postherpetic neuralgia in the United States. Journal of the American Osteopathic Association, 107(3 Suppl 1), S2-7.
Weissman-Fogel, I., Moayedi, M., Tenenbaum, H. C., Goldberg, M. B., Freeman, B. V., & Davis, K. D. (2011). Abnormal cortical activity in patients with temporomandibular disorder evoked by cognitive and emotional tasks. Pain, 152(2), 384–396. https://doi.org/10.1016/j.pain.2010.10.046
Whitmer, A. J., & Gotlib, I. H. (2012). Depressive rumination and the C957T polymorphism of the DRD2 gene. Cognitive Affective & Behavioral Neuroscience, 12(4), 741–747. https://doi.org/10.3758/s13415-012-0112-z
Xue, T., Yuan, K., Zhao, L., Yu, D. H., Zhao, L. M., Dong, T., & Tian, J. (2012). Intrinsic brain network abnormalities in migraines without aura revealed in resting-state fMRI. PLoS ONE, 7(12), 0052927.
Ystad, M., Eichele, T., Lundervold, A. J., & Lundervold, A. (2010). Subcortical functional connectivity and verbal episodic memory in healthy elderly—a resting state fMRI study. NeuroImage, 52(1), 379–388. https://doi.org/10.1016/j.neuroimage.2010.03.062
Yu, M., Linn, K. A., Shinohara, R. T., Oathes, D. J., Cook, P. A., Duprat, R., & Sheline, Y. I. (2019). Childhood trauma history is linked to abnormal brain connectivity in major depression. Proceedings of the National Academy of Science of the Unites States of America, 116(17), 8582–8590. https://doi.org/10.1073/pnas.1900801116
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Thanks to all medical workers for their contributions and all participants for their participation in this study.
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YW: This author performed the study, analyzed the data and completed the manuscript. CW: This author performed the study, helped review and modify the manuscript. LY: This author helped collect the subjects. WQ: This author helped to perform the study. XX: This author helped collect the subjects. MZ: This author helped design the study. MY: This author helped design the study.
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11682_2021_510_MOESM1_ESM.tif
Supplementary file1 Figure S1. The comparison of within- and cross networks functional connectivities between PHN, RHZ patients and HCs. There were no significance of functional connectivity of (A)within-SN (B) DMN-ERN (C) within-ERN (D) ERN-BGN (E) SN-ERN between PHN, RHZ patients and HCs. PHN, postherpetic neuralgia; RHZ, recuperation from herpes zoster. DMN, Default mode network; SN,Salience network; ERN, Emotion regulation network; BGN, Basal ganglia network. (TIF 13283 kb)
11682_2021_510_MOESM2_ESM.tif
Supplementary file2 Figure S2. Partial correlation analysis between network connectivity and clinical varies. (A) The within DMN connectivity was negatively related to the PANAS positive scores in PHN patients; (B) The DMN-SN connectivity was negatively related to the HAMD scores in RHZ patients; (C) The DMN-SN connectivity was negatively related to the HAMA scores in RHZ patients; (D) The within-BGN connectivity was positively related to the duration in RHZ patients. PHN, postherpetic neuralgia; RHZ, recuperation from herpes zoster. DMN, Default mode network; SN, Salience network; ERN, Emotion regulation network; BGN, Basal ganglia network. (TIF 134 kb)
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Wu, Y., Wang, C., Yu, L. et al. Abnormal within- and cross-networks functional connectivity in different outcomes of herpes zoster patients. Brain Imaging and Behavior 16, 366–378 (2022). https://doi.org/10.1007/s11682-021-00510-y
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DOI: https://doi.org/10.1007/s11682-021-00510-y