Abrol, A., Damaraju, E., Miller, R. L., Stephen, J. M., Claus, E. D., Mayer, A. R., & Calhoun, V. D. (2017). Replicability of time-varying connectivity patterns in large resting state fMRI samples. Neuroimage, 163, 160–176. https://doi.org/10.1016/j.neuroimage.2017.09.020

Article  PubMed  Google Scholar 

Adolphs, R., Damasio, H., Tranel, D., Cooper, G., & Damasio, A. R. (2000). A role for somatosensory cortices in the visual recognition of emotion as revealed by three-dimensional lesion mapping. Journal of Neuroscience, 20(7), 2683–2690. https://doi.org/10.1523/JNEUROSCI.20-07-02683.2000

Article  CAS  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

Avenanti, A., & Aglioti, S. M. (2006). The sensorimotor side of empathy for pain. Psychoanalysis and neuroscience (pp. 235–256). Springer.

Benuzzi, F., Lui, F., Duzzi, D., Nichelli, P. F., & Porro, C. A. (2009). Brain networks responsive to aversive visual stimuli in humans. Magnetic Resonance Imaging, 27(8), 1088–1095. https://doi.org/10.1016/j.mri.2009.05.037

Article  PubMed  Google Scholar 

Bernhardt, B. C., & Singer, T. (2012). The neural basis of empathy. Annual Review of Neuroscience, 35, 1–23. https://doi.org/10.1146/annurev-neuro-062111-150536

Article  CAS  PubMed  Google Scholar 

Betti, V., & Aglioti, S. M. (2016). Dynamic construction of the neural networks underpinning empathy for pain. Neuroscience & Biobehavioral Reviews, 63, 191–206. https://doi.org/10.1016/j.neubiorev.2016.02.009

Article  Google Scholar 

Blakemore, S. J., Bristow, D., Bird, G., Frith, C., & Ward, J. (2005). Somatosensory activations during the observation of touch and a case of vision–touch synaesthesia. Brain, 128(7), 1571–1583. https://doi.org/10.1093/brain/awh500

Article  PubMed  Google Scholar 

Boulesteix, A. L., & Strimmer, K. (2007). Partial least squares: A versatile tool for the analysis of high-dimensional genomic data. Briefings in Bioinformatics, 8(1), 32–44. https://doi.org/10.1093/bib/bbl016

Article  CAS  PubMed  Google Scholar 

Calhoun, V. D., Adali, T., Pearlson, G. D., & Pekar, J. J. (2001). A method for making group inferences from functional MRI data using independent component analysis. Human Brain Mapping, 14(3), 140–151. https://doi.org/10.1002/hbm.1048

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cheng, J. C., Rogachov, A., Hemington, K. S., Kucyi, A., Bosma, R. L., Lindquist, M. A., Inman, R. D., & Davis, K. D. (2018). Multivariate machine learning distinguishes cross-network dynamic functional connectivity patterns in state and trait neuropathic pain. Pain, 159(9), 1764–1776. https://doi.org/10.1097/j.pain.0000000000001264

Article  PubMed  Google Scholar 

Danziger, N., Prkachin, K. M., & Willer, J. C. (2006). Is pain the price of empathy? The perception of others’ pain in patients with congenital insensitivity to pain. Brain, 129(9), 2494–2507. https://doi.org/10.1093/brain/awl155

Article  PubMed  Google Scholar 

de Waal, F., & Preston, S. D. (2017). Mammalian empathy: Behavioural manifestations and neural basis. Nature Reviews Neuroscience, 18(8), 498–509. https://doi.org/10.1038/nrn.2017.72

Article  CAS  PubMed  Google Scholar 

DiGuiseppi, J., & Tadi, P. (2021). Neuroanatomy, Postcentral Gyrus. StatPearls [Internet]. StatPearls Publishing.

Du, Y., Fu, Z., Sui, J., Gao, S., Xing, Y., Lin, D., Salman, M., Abrol, A., Rahaman, M. A., Chen, J., Hong, L. E., Kochunov, P., Osuch, E. A., & Calhoun, V. D. (2020). NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders. Neuroimage Clin, 28, 102375. https://doi.org/10.1016/j.nicl.2020.102375. & Alzheimer’s Disease Neuroimaging, I.

Article  PubMed  PubMed Central  Google Scholar 

Fan, Y., & Han, S. (2008). Temporal dynamic of neural mechanisms involved in empathy for pain: An event-related brain potential study. Neuropsychologia, 46(1), 160–173. https://doi.org/10.1016/j.neuropsychologia.2007.07.023

Article  PubMed  Google Scholar 

Fiorenzato, E., Strafella, A. P., Kim, J., Schifano, R., Weis, L., Antonini, A., & Biundo, R. (2019). Dynamic functional connectivity changes associated with dementia in Parkinson’s disease. Brain, 142(9), 2860–2872. https://doi.org/10.1093/brain/awz192

Article  PubMed  PubMed Central  Google Scholar 

Gupta, A., Rapkin, A. J., Gill, Z., Kilpatrick, L., Fling, C., Stains, J., Masghati, S., Tillisch, K., Mayer, E. A., & Labus, J. S. (2015). Disease-related differences in resting state networks: A comparison between localized provoked vulvodynia, irritable bowel syndrome, and healthy control subjects. Pain, 156(5), 809. https://doi.org/10.1097/01.j.pain.0000461289.65571.54

Article  PubMed  PubMed Central  Google Scholar 

Hatsopoulos, N. G., & Suminski, A. J. (2011). Sensing with the motor cortex. Neuron, 72(3), 477–487. https://doi.org/10.1016/j.neuron.2011.10.020

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., & Gonzalez-Castillo, J. (2013). Dynamic functional connectivity: Promise, issues, and interpretations. Neuroimage, 80, 360–378. https://doi.org/10.1016/j.neuroimage.2013.05.079

Article  PubMed  Google Scholar 

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.

Article  CAS  PubMed  Google Scholar 

Iraji, A., Faghiri, A., Lewis, N., Fu, Z., Rachakonda, S., & Calhoun, V. D. (2021). Tools of the trade: Estimating time-varying connectivity patterns from fMRI data. Social Cognitive and Affective Neuroscience, 16(8), 849–874. https://doi.org/10.1093/humupd/dmv039

Article  CAS  PubMed  Google Scholar 

Jackson, P. L., Meltzoff, A. N., & Decety, J. (2005). How do we perceive the pain of others? A window into the neural processes involved in empathy. Neuroimage, 24(3), 771–779. https://doi.org/10.1016/j.neuroimage.2004.09.006

Article  PubMed  Google Scholar 

Jauniaux, J., Khatibi, A., Rainville, P., & Jackson, P. L. (2019). A meta-analysis of neuroimaging studies on pain empathy: Investigating the role of visual information and observers’ perspective. Soc Cogn Affect Neurosci, 14(8), 789–813. https://doi.org/10.1093/scan/nsz055

Article  PubMed  PubMed Central  Google Scholar 

Kilpatrick, L. A., Kutch, J. J., Tillisch, K., Naliboff, B. D., Labus, J. S., Jiang, Z., Farmer, M. A., Apkarian, A. V., Mackey, S., & Martucci, K. T. (2014). Alterations in resting state oscillations and connectivity in sensory and motor networks in women with interstitial cystitis/painful bladder syndrome. The Journal of Urology, 192(3), 947–955. https://doi.org/10.1016/j.juro.2014.03.093

Article  PubMed  PubMed Central  Google Scholar 

Kim, J., Criaud, M., Cho, S. S., Diez-Cirarda, M., Mihaescu, A., Coakeley, S., Ghadery, C., Valli, M., Jacobs, M. F., Houle, S., & Strafella, A. P. (2017). Abnormal intrinsic brain functional network dynamics in Parkinson’s disease. Brain, 140(11), 2955–2967. https://doi.org/10.1093/brain/awx233

Article  PubMed  PubMed Central  Google Scholar 

Li, H., Liang, Y., Xu, Q., & Cao, D. (2009). Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration. Analytica Chimica Acta, 648(1), 77–84. https://doi.org/10.1016/j.aca.2009.06.046

Article  CAS  PubMed  Google Scholar 

Light, S. N., Coan, J. A., Zahn-Waxler, C., Frye, C., Goldsmith, H. H., & Davidson, R. J. (2009). Empathy is associated with dynamic change in prefrontal brain electrical activity during positive emotion in children. Child Development, 80(4), 1210–1231. https://doi.org/10.1111/j.1467-8624.2009.01326.x

Article  PubMed  PubMed Central  Google Scholar 

Loggia, M. L., Mogil, J. S., & Bushnell, M. C. (2008). Empathy hurts: Compassion for another increases both sensory and affective components of pain perception. Pain, 136(1–2), 168–176. https://doi.org/10.1016/j.pain.2007.07.017

Article  PubMed  Google Scholar 

Mu, J., Wang, Q., Dun, W., Yang, J., Wang, K., Zhang, M., & Liu, J. (2021). The effects of long-term menstrual pain on pain empathy in women with primary dysmenorrhea. Pain, 162(7), 2051–2059. h