Personal Identity and Cortical Midline Structure (CMS): Do Temporal Features of CMS Neural Activity Transform Into “Self-Continuity”?

References

• Addis, D. R., Pan, L., Vu, M. A., Laiser, N., & Schacter, D. L. (2009). Constructive episodic simulation of the future and the past: Distinct subsystems of a core brain network mediate imagining and remembering. Neuropsychologia, 47(11), 2222–2238. doi:10.1016/j.neuropsychologia.2008.10.026
   PubMed Web of Science ®Google Scholar
• Addis, D. R., Wong, A. T., & Schacter, D. L. (2007). Remembering the past and imagining the future: Common and distinct neural substrates during event construction and elaboration. Neuropsychologia, 45(7), 1363–1377.
   PubMed Web of Science ®Google Scholar
• Amft, M., Bzdok, D., Laird, A. R., Fox, P. T., Schilbach, L., & Eickhoff, S. B. (2015). Definition and characterization of an extended social-affective default network. Brain Structure and Function, 220(2), 1031–1049. doi: 10.1007/s00429-013-0698-0.
   PubMed Web of Science ®Google Scholar
• Araujo, H. F., Kaplan, J., & Damasio, A. (2013). Cortical midline structures and autobiographical-self processes: An activation-likelihood estimation meta-analysis. Frontiers in Human Neuroscience, 4(7), 548. doi:10.3389/fnhum.2013.00548
   Web of Science ®Google Scholar
• Araujo, H. F., Kaplan, J., Damasio, H., & Damasio, A. (2015). Neural correlates of different self domains. Brain Behavior, 5(12), e00409. doi:10.1002/brb3.409
   PubMed Web of Science ®Google Scholar
• Aru, J., Aru, J., Priesemann, V., Wibral, M., Lana, L., Pipa, G., & Vicente, R. (2015). Untangling cross-frequency coupling in neuroscience. Current Opinions in Neurobiology, 31, 51–61.
   PubMed Web of Science ®Google Scholar
• Babo-Rebelo, M., Richter, C. G., & Tallon-Baudry, C. (2016). Neural responses to heartbeats in the default network encode the self in spontaneous thoughts. Journal of Neuroscience, 36(30), 7829–7840. doi:10.1523/JNEUROSCI.0262-16.2016
   PubMed Web of Science ®Google Scholar
• Bai, Y., Nakao, T., Xu, J., Qin, P., Chaves, P., Heinzel, A., … Northoff, G. (2015). Resting state glutamate predicts elevated pre-stimulus alpha during self-relatedness: A combined EEG-MRS study on “rest-self overlap”. Social Neuroscience, 11, 249–263. doi:10.1080/17470919.2015.1072582
   PubMed Web of Science ®Google Scholar
• Benoit, R. G., & Schacter, D. L. (2015). Specifying the core network supporting episodic simulation and episodic memory by activation likelihood estimation. Neuropsychologia, 75, 450–457. doi:10.1016/j.neuropsychologia.2015.06.034
   PubMed Web of Science ®Google Scholar
• Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain's default network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124, 1–38. doi:10.1196/annals.1440.011
   PubMed Web of Science ®Google Scholar
• Buckner, R. L., & Carroll, D. C. (2007). Self-projection and the brain. Trends in Cognitive Science, 11(2), 49–57.
   PubMed Web of Science ®Google Scholar
• Buzsaki, G. (2006). Rhythms of the brain. New York, NY: Oxford University Press.
   Google Scholar
• Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., … Knight R. T. (2006). High gamma power is phase-locked to theta oscillations in human neocortex. Science, 313(5793), 1626–1628.
   PubMed Web of Science ®Google Scholar
• Chen, J., Hasson, U., & Honey, C. J. (2015). Processing timescales as an organizing principle for primate cortex. Neuron, 88(2), 244–246. doi: 10.1016/j.neuron.2015.10.010.
   PubMed Web of Science ®Google Scholar
• Chen, J., Honey, C.J., Simony, E., Arcaro, M. J., Norman, K. A., & Hasson, U. (2016). Accessing real-life episodic information from minutes versus hours earlier modulates hippocampal and high-order cortical dynamics. Cerebral Cortex, 26(8), 3428–3441. doi: 10.1093/cercor/bhv155.
   PubMed Web of Science ®Google Scholar
• Chialvo, D. R, Calvo, O., Gonzalez, D. L., Piro, O., & Savino, G. V. (2002). Subharmonic stochastic synchronization and resonance in neuronal systems. Physical Review E: Statistical, Nonlinear, Biological, and Soft Matter Physics, 65(5 Pt. 1), 050902.
   Web of Science ®Google Scholar
• Christoff, K., Irving, Z. C., Fox, K. C. R., Spreng, R. N., & Andrews-hanna, J. R. (2016). Mind-wandering as spontaneous thought: A dynamic framework. Nature Reviews Neuroscience. doi:10.1038/nrn.2016.113
   PubMed Web of Science ®Google Scholar
• Davey, C. G., Pujol, J., & Harrison, B. J. (2016). Mapping the self in the brain's default mode network. Neuroimage, 132, 390–397. doi:10.1016/j.neuroimage.2016.02.022
   PubMed Web of Science ®Google Scholar
• D'Argembeau, A., Collette, F., Van der Linden, M., Laureys, S., Del Fiore, G., Degueldre, C., … Salmon, E. (2005). Self-referential reflective activity and its relationship with rest: A PET study. Neuroimage, 25(2), 616–624.
   PubMed Web of Science ®Google Scholar
• D'Argembeau, A., Feyers, D., Majerus, S., Collette, F., Van der Linden, M., Maquet, P., & Salmon, E. (2008). Self-reflection across time: Cortical midline structures differentiate between present and past selves. Social Cognitive and Affective Neuroscience, 3(3), 244–52. doi:10.1093/scan/nsn020. Epub 2008 Aug 23.
   PubMed Web of Science ®Google Scholar
• D'Argembeau, A., Stawarczyk, D., Majerus, S., Collette, F., Van der Linden, M., & Salmon, E. (2010). Modulation of medial prefrontal and inferior parietal cortices when thinking about past, present, and future selves. Society for Neuroscience, 5(2), 187–200.
   Google Scholar
• De Brigard, F., Szpunar, K. K., & Schacter, D. L. (2013). Coming to grips with the past: Effect of repeated simulation on the perceived plausibility of episodic counterfactual thoughts. Psychological Science, 24(7), 1329–1334. doi:10.1177/0956797612468163
   PubMed Web of Science ®Google Scholar
• de Greck, M. Enzi, B., Prösch, U., Gantman, A., Tempelmann, C., & Northoff, G. (2010). Decreased neuronal activity in reward circuitry of pathological gamblers during processing of personal relevant stimuli. Human Brain Mapping, 31(11), 1802–1812. doi: 10.1002/hbm.20981.
   PubMed Web of Science ®Google Scholar
• de Greck, M., Rotte, M., Paus, R., Moritz, D., Thiemann, R., Proesch, U., … Northoff, G. (2008). Is our self based on reward? Self-relatedness recruits neural activity in the reward system. Neuroimage, 39(4), 2066–75.
   PubMed Web of Science ®Google Scholar
• de Pasquale, F., Della Penna, S., Snyder, A. Z., Marzetti, L., Pizzella, V., Romani, G. L., & Corbetta, M. (2012). A cortical core for dynamic integration of functional networks in the resting human brain. Neuron, 74(4), 753–764.
   PubMed Web of Science ®Google Scholar
• de Pasquale, F., Della Penna, S., Sporns, O., Romani, G. L., & Corbetta, M. (2016). A dynamic core network and global efficiency in the resting human brain. Cerebral Cortex, 26(10), 4015–4033. doi: 10.1093/cercor/bhv185.
   PubMed Web of Science ®Google Scholar
• Duncan, N. W., Hayes, D. J., Wiebking, C., Tiret, B., Pietruska, K., Chen, D. Q., Rainville P., … Northoff, G. (2015). Negative childhood experiences alter a prefrontal-insular-motor cortical network in healthy adults: A preliminary multimodal rsfMRI-fMRI-MRS-dMRI study. Human Brain Mapping, 36(11), 4622–4637. doi: 10.1002/hbm.22941.
   PubMed Web of Science ®Google Scholar
• Enzi, B., de Greck, M., Prösch, U., Tempelmann, C., & Northoff, G. (2009). Is our self nothing but reward? Neuronal overlap and distinction between reward and personal relevance and its relation to human personality. PLoS One, 4(12), e8429. doi:10.1371/journal.pone.0008429.
   PubMed Web of Science ®Google Scholar
• Ersner-Hershfield, H., Wimmer, G. E., & Knutson, B. (2009). Saving for the future self: Neural measures of future self-continuity predict temporal discounting. Social Cognitive and Affective Neuroscience, 4(1), 85–92.
   PubMed Web of Science ®Google Scholar
• Ersner-Hershfield, H., Garton, M. T., Ballard, K., Samanez-Larkin G. R., & Knutson, B. (2009). Don't stop thinking about tomorrow: Individual differences in future self-employment account for saving. Judgment and Decision Making, 4(4), 280–286.
   PubMed Web of Science ®Google Scholar
• Farbood, M. M., Heeger, D. J., Marcus, G., Hasson, U., & Lerner, Y. (2015). The neural processing of hierarchical structure in music and speech at different timescales. Frontiers in Neuroscience, 9, 157. doi: 10.3389/fnins.2015.00157.
   PubMed Web of Science ®Google Scholar
• Hahn, T. T., Sakmann, B., & Mehta, M. R. (2006). Phase-locking of hippocampal interneurons' membrane potential to neocortical up-down states. Nature Neuroscience, 9(11), 1359–1361.
   PubMed Web of Science ®Google Scholar
• Hasson, U., Chen, J., & Honey, C. J. (2015). Hierarchical process memory: Memory as an integral component of information processing. Trends in Cognitive Science, 19(6), 304–313.
   PubMed Web of Science ®Google Scholar
• Hasson, U., & Frith, C. D. (2016). Mirroring and beyond: Coupled dynamics as a generalized framework for modelling social interactions. Philosophical Transactions of the Royal Society of London Series B, Biological sciences, 371(1693), 20150366. doi: 10.1098/rstb.2015.0366.
   PubMed Web of Science ®Google Scholar
• Hasson, U., Ghazanfar, A. A., Galantucci, B., Garrod, S., & Keysers, C. (2012). Brain-to-brain coupling: A mechanism for creating and sharing a social world. Trends in Cognitive Science, 16(2), 114–21. doi: 10.1016/j.tics.2011.12.007.
   PubMed Web of Science ®Google Scholar
• He, B. J. (2014). Scale-free brain activity: Past, present, and future. Trends in Cognitive Science, 18(9), 480–487.
   PubMed Web of Science ®Google Scholar
• He, B. J., & Raichle, M. E. (2009). The fMRI signal, slow cortical potential and consciousness. Trends in Cognitive Science, 13(7), 302–309.
   PubMed Web of Science ®Google Scholar
• He, B. J., Snyder, A. Z., Zempel, J. M., Smyth, M. D., & Raichle, M. E. (2008). Electrophysiological correlates of the brain's intrinsic large-scale functional architecture. Proceedings of the National Academy of Sciences of the United States of America, 105(41), 16039–16044.
   PubMed Web of Science ®Google Scholar
• He, B. J., Zempel, J. M., Snyder, A. Z., & Raichle, M. E. (2010). The temporal structures and functional significance of scale-free brain activity. Neuron, 66(3), 353–369.
   PubMed Web of Science ®Google Scholar
• Hiltunen, T., Kantola, J., Abou Elseoud, A., Lepola, P., Suominen, K., Starck, T., … Palva, J. M. (2014). Infra-slow EEG fluctuations are correlated with resting-state network dynamics in fMRI. Journal of Neuroscience, 34(2), 356–362. doi:10.1523/JNEUROSCI.0276-13.2014
   PubMed Web of Science ®Google Scholar
• Honey, C. J., Thesen, T., Donner, T. H., Silbert, L. J., Carlson, C. E., Devinsky, O., & Hasson, U. (2012). Slow cortical dynamics and the accumulation of information over long timescales. Neuron, 76(2), 423–434.
   PubMed Web of Science ®Google Scholar
• Hu, C., Di, X., Eickhoff, S. B., Zhang, M., Peng, K., Guo, H., & Sui, J. (2016). Distinct and common aspects of physical and psychological self-representation in the brain: A meta-analysis of self-bias in facial and self-referential judgements. Neuroscience & Biobehavioral Reviews, 61, 197–207. doi:10.1016/j.neubiorev.2015.12.003
   PubMed Web of Science ®Google Scholar
• Huang, Z., Obara, N., Davis, H. H., IV, Pokorny, J., & Northoff, G. (2016). The temporal structure of resting-state brain activity in the medial prefrontal cortex predicts self-consciousness. Neuropsychologia, 82, 161–170. doi:10.1016/j.neuropsychologia.2016.01.025
   PubMed Web of Science ®Google Scholar
• Huang, Z., Zhang, J., Longtin, A., Dumont, G., Duncan, N. W., Pokorny, J., … Northoff, G. (2015). Is there a nonadditive interaction between spontaneous and evoked activity? Phase-dependence and its relation to the temporal structure of scale-free brain activity. Cerebral Cortex, 27(2), 1037–1059. doi:10.1093/cercor/bhv288
   Web of Science ®Google Scholar
• Humphreys, G. W., & Sui, J. (2016). Attentional control and the self: The Self-Attention Network (SAN). Cognitive Neuroscience, 7(1–4), 5–17. doi:10.1080/17588928.2015.1044427
   PubMed Web of Science ®Google Scholar
• Khader, P., Schicke, T., Röder, B., & Rösler, F. (2008). On the relationship between slow cortical potentials and BOLD signal changes in humans. International Journal of Psychophysiology, 67(3), 252–261.
   PubMed Web of Science ®Google Scholar
• Kim, K., & Johnson, M. K. (2012). Extended self: Medial prefrontal activity during transient association of self and objects. Social Cognitive and Affective Neuroscience, 7(2), 199–207. doi:10.1093/scan/nsq096.
   PubMed Web of Science ®Google Scholar
• Kim, K., & Johnson, M. K. (2014). Extended self: Spontaneous activation of medial prefrontal cortex by objects that are “mine.” Social Cognitive and Affective Neuroscience, 9(7), 1006–1012. doi:10.1093/scan/nst082
   PubMed Web of Science ®Google Scholar
• Lakatos, P., Karmos, G., Mehta, A. D., Ulbert, I., & Schroeder, C. E. (2008). Entrainment of neuronal oscillations as a mechanism of attentional selection. Science, 320(5872), 110–113. doi: 10.1126/science.1154735.
   PubMed Web of Science ®Google Scholar
• Lee, T. W., Northoff, G., & Wu, Y. T. (2014). Resting network is composed of more than one neural pattern: An fMRI study. Neuroscience, 274, 198–208.
   PubMed Web of Science ®Google Scholar
• Lerner, Y., Honey, C. J., Katkov, M., & Hasson, U. (2014). Temporal scaling of neural responses to compressed and dilated natural speech. Journal of Neurophysiology, 111(12), 2433–2444. doi: 10.1152/jn.00497.2013.
   PubMed Web of Science ®Google Scholar
• Li, Q., Hill, Z., & He, B. J. (2014). Spatiotemporal dissociation of brain activity underlying subjective awareness, objective performance and confidence. The Journal of Neuroscience, 34(12), 4382–4395.
   PubMed Web of Science ®Google Scholar
• Linkenkaer-Hansen, K. Nikouline, V. V., Palva, J. M., & Ilmoniemi, R. J. (2001). Long-range temporal correlations and scaling behavior in human brain oscillations. Journal of Neuroscience, 21(4), 1370–1377.
   PubMed Web of Science ®Google Scholar
• Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001). Neurophysiological investigation of the basis of the fMRI signal. Nature, 412(6843), 150–157.
   PubMed Web of Science ®Google Scholar
• Logothetis, N. K. (2008). What we can do and what we cannot do with fMRI. Nature, 453(7197), 869–878. doi:10.1038/nature06976
   PubMed Web of Science ®Google Scholar
• Lou, H. C., Changeux, J. P., & Rosenstand, A. (2016). Towards a cognitive neuroscience of self-awareness. Neuroscience & Biobehavioral Reviews, S0149–7634(16), 30041-0. doi:10.1016/j.neubiorev.2016.04.004
   Google Scholar
• Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., … Smallwood, J. (2016). Situating the default-mode network along a principal gradient of macroscale cortical organization. Proceedings of the National Academy of Sciences of the United States of America, 113(44), 12574–12579.
   PubMed Web of Science ®Google Scholar
• Martin, B., Wittmann, M., Franck, N., Cermolacce, M., Berna, F., & Giersch, A. (2014). Temporal structure of consciousness and minimal self in schizophrenia. Frontiers in Psychology, 5, 1175. doi:10.3389/fpsyg.2014.01175
   PubMed Web of Science ®Google Scholar
• Menon, V. (2011). Large-scale brain networks and psychopathology: A unifying triple network model. Trends in Cognitive Science, 15(10), 483–506. doi:10.1016/j.tics.2011.08.003
   PubMed Web of Science ®Google Scholar
• Mitra, A., Snyder, A. Z., Blazey, T., & Raichle, M. E. (2015). Lag threads orgainze the brain's intrinsic activity. Proceedings of the National Academy of Sciences of the United States of America, 112(17), E2235–E2244. doi: 10.1073/pnas.1503960112.
   PubMed Web of Science ®Google Scholar
• Mitra, A., & Raichle, M. E. (2016). How networks communicate: Propagation patterns in spontaneous brain activity. Philosophical Transactions of the Royal Society B, 371(1705), 20150546. doi: 10.1098/rstb.2015.0546.
   PubMed Web of Science ®Google Scholar
• Molnar-Szakacs, I., & Uddin L. Q. (2013). Self-processing and the default mode network: Interactions with the mirror neuron system. Frontiers in Human Neuroscience, 7, 571. doi: 10.3389/fnhum.2013.00571.
   PubMed Web of Science ®Google Scholar
• Modinos, G., Ormel, J., & Aleman, A. (2009). Activation of anterior insula during self-reflection. PLoS One, 4(2), e4618. doi: 10.1371/journal.pone.0004618.
   PubMed Web of Science ®Google Scholar
• Monto, S., Palva, S., Voipio, J., & Palva, J. M. (2008). Very slow EEG fluctuations predict the dynamics of stimulus detection and oscillation amplitudes in humans. Journal of Neuroscience, 28(33), 8268–8272. doi:10.1523/JNEUROSCI.1910-08.2008
   PubMed Web of Science ®Google Scholar
• Murray, J. D., Bernacchia, A., Freedman, D. J., Romo, R., Wallis, J. D., Cai, X., & Lee, D. (2014). A hierarchy of intrinsic timescales across primate cortex. Nature Neuroscience, 17(12), 1661–1663. doi:10.1038/nn.3862
   PubMed Web of Science ®Google Scholar
• Murray, R. J., Debbané, M., Fox, P. T., Bzdok, D., & Eickhoff, S. B. (2015). Functional connectivity mapping of regions associated with self- and other-processing. Human Brain Mapping, 36(4), 1304–1324. doi:10.1002/hbm.22703
   PubMed Web of Science ®Google Scholar
• Murray, R. J., Schaer, M., & Debbané, M. (2012). Degrees of separation: A quantitative neuroimaging meta-analysis investigating self-specificity and shared neural activation between self- and other-reflection. Neuroscience & Biobehavioral Reviews, 36(3), 1043–1059. doi:10.1016/j.neubiorev.2011.12.013
   PubMed Web of Science ®Google Scholar
• Nakao, T., Bai, Y., Nashiwa, H., & Northoff, G. (2013). Resting-state EEG power predicts conflict-related brain activity in internally guided but not in externally guided decision-making. Neuroimage, 66, 9–21.
   PubMed Web of Science ®Google Scholar
• Northoff, G. (2015). Resting state activity and the “stream of consciousness” in schizophrenia–neurophenomenal hypotheses. Schizophrenia Bulletin, 41(1), 280–290. doi: 10.1093/schbul/sbu116.
   PubMed Web of Science ®Google Scholar
• Northoff, G. (2016). Is the self a higher-order or fundamental function of the brain? The “basis model of self-specificity” and its encoding by the brain's spontaneous activity. Cognitive Neuroscience, 7(1–4), 203–222. doi:10.1080/17588928.2015.1111868
   PubMed Web of Science ®Google Scholar
• Northoff, G., & Bermpohl, F. (2004). Cortical midline structures and the self. Trends in Cognitive Science, 8(3), 102–107.
   PubMed Web of Science ®Google Scholar
• Northoff, G., Heinzel, A., de Greck, M., Bermpohl, F., Dobrowolny, H., & Panksepp, J. (2006). Self-referential processing in our brain—A meta-analysis of imaging studies on the self. Neuroimage, 31(1), 440–457.
   PubMed Web of Science ®Google Scholar
• Northoff, G. (2014). Unlocking the brain. Vol. II: Consciousness. New York, NY: Oxford University Press.
   Google Scholar
• Northoff, G., & Wagner, N. (2017) Personal identity and brain identity. In K. Amons (Ed.), Routledge handbook of neuroethics (pp. 335–352). London, UK: Routledge.
   Google Scholar
• Palva, J. M., & Palva, S. (2011). 22 roles of multiscale brain activity fluctuations in shaping the variability and dynamics of psychophysical performance. Prog Brain Res, 193, 335.
   PubMed Web of Science ®Google Scholar
• Palva, J. M., & Palva, S. (2012). Infra-slow fluctuations in electrophysiological recordings, blood-oxygenation-level-dependent signals, and psychophysical time series. Neuroimage, 62(4), 2201–2211. doi:10.1016/j.neuroimage.2012.02.060
   PubMed Web of Science ®Google Scholar
• Palva, J. M., Zhigalob, A., Hirvonen, J., Korhonen, O., Kinkenkaer-Hansen, K., & Palva, S. (2013). Neuronal long-range temporal correlations and avalanche dynamics are correlated with bahavioral scaling laws. Proceedings of the National Academy of Sciences of the United States of America, 110(9), 3585–3590. doi: 10.1073/pnas.1216855110.
   PubMed Web of Science ®Google Scholar
• Power, J. D., Plitt, M., Laumann, T. O., & Martin, A. (2017). Sources and implications of whole-brain fMRI signals in humans. Neuroimage, 146, 609–625. doi: 10.1016/j.neuroimage.2016.09.038.
   PubMed Web of Science ®Google Scholar
• Qin, P., Grimm, S., Duncan, N. W., Fan, Y., Huang, Z., Lane, T., … Northoff, G. (2016). Spontaneous activity in default-mode network predicts ascription of self-relatedness to stimuli. Social Cognitive and Affective Neuroscience, 11(4), 693–702. doi:10.1093/scan/nsw008
   PubMed Web of Science ®Google Scholar
• Qin, P., & Northoff, G. (2011). How is our self related to midline regions and the default-mode network? Neuroimage, 57(3), 1221–1233.
   PubMed Web of Science ®Google Scholar
• Raichle, M. E., & Mintun, M. A. (2006). Brain work and brain imaging. Annual Review of Neuroscience, 29, 449–476.
   PubMed Web of Science ®Google Scholar
• Raichle, M. E. (2009). A brief history of human brain mapping. Trends in Neuroscience, 32(2), 118–126.
   PubMed Web of Science ®Google Scholar
• Raichle, M. E. (2015). The restless brain: How intrinsic activity organizes brain function. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 370(1668), 20140172.
   PubMed Web of Science ®Google Scholar
• Roberts, L. E., Birbaumer, N., Rockstroh, B., Lutzenberger, W., & Elbert, T. (1989). Self-report during feedback regulation of slow cortical potentials. Psychophysiology, 26(4), 392–403.
   PubMed Web of Science ®Google Scholar
• Sadaghiani, S., Hesselmann, G., Friston, K. J., & Kleinschmidt, A. (2010). The relation of ongoing brain activity, evoked neural responses, and cognition. Frontiers in Systems Neuroscience, 4, 20. doi: 10.3389/fnsys.2010.00020
   PubMedGoogle Scholar
• Schacter, D. L., Addis, D. R., & Buckner, R. L. (2007). Remembering the past to imagine the future: The prospective brain. Nature Reviews Neuroscience, 8(9), 657–661.
   PubMed Web of Science ®Google Scholar
• Schacter, D. L., Addis, D. R., & Buckner, R. L. (2008). Episodic simulation of future events: Concepts, data, and applications. Ann N Y Acad Sci, 1124, 39–60. doi:10.1196/annals.1440.001
   PubMed Web of Science ®Google Scholar
• Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K. (2012). The future of memory: Remembering, imagining, and the brain. Neuron, 76(4), 677–694. doi:10.1016/j.neuron.2012.11.001
   PubMed Web of Science ®Google Scholar
• Schacter D. L., Gaesser, B., Addis, & D. R. (2013). Remembering the past and imagining the future in the elderly. Gerontology, 59(2), 143–151. doi: 10.1159/000342198.
   PubMed Web of Science ®Google Scholar
• Schneider, F., Bermpohl, F., Heinzel, A., Rotte, M., Walter, M., Tempelmann, C., … Northoff, G. (2008). The resting brain and our self: Self-relatedness modulates resting state neural activity in cortical midline structures. Neuroscience, 157(1), 120–131.
   PubMed Web of Science ®Google Scholar
• Schroeder C. E., & Lakatos, P. (2009). Low-frequency neuronal oscillations as instruments of sensory selection. Trends in Neuroscience, 32(1), 9–18. doi: 10.1016/j.tins.2008.09.012.
   PubMed Web of Science ®Google Scholar
• Schroeder, C. E., Wilson, D. A., Radman, T., Scharfman, H., & Lakatos, P. (2010). Dynamics of active sensing and perceptual selection. Current Opinion in Neurobiology, 20(2), 172–176. doi: 10.1016/j.conb.2010.02.010.
   PubMed Web of Science ®Google Scholar
• Seligman, M. E., Railton, P., Baumeister, R.F., & Sripada, C. (2013). Navigating into the future or driven by the past. Perspectives on Psychological Science, 8(2), 119–41. doi: 10.1177/1745691612474317.
   Web of Science ®Google Scholar
• Silbert L. J., Honey, C. J., Simony, E., Poeppel, D., & Hasson, U. (2014). Coupled neural systems underlie the production and comprehension of naturalistic narrative speech. Proceedings of the National Academy of Sciences of the United States of America, 111(43), E4687–96. doi: 10.1073/pnas.1323812111.
   PubMed Web of Science ®Google Scholar
• Simony, E., Honey, C. J., Chen, J., Lositsky, O., Yeshurun, Y., Wiesel, A., & Hasson, U. (2016). Dynamic reconfiguration of the default mode network during narrative comprehension. Nature Communications, 7, 12141. doi: 10.1038/ncomms12141.
   PubMed Web of Science ®Google Scholar
• Spreng, R. N., & Mar, R. A. (2012). I remember you: A role for memory in social cognition and the functional neuroanatomy of their interaction. Brain Research, 1428, 43–50. doi: 10.1016/j.brainres.2010.12.024.
   PubMed Web of Science ®Google Scholar
• Spreng R. N., Mar, R. A., & Kim, A. S. (2009). The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: A quantitative meta-analysis. Journal of Cognitive Neuroscience, 21(3), 489–510. doi: 10.1162/jocn.2008.21029
   PubMed Web of Science ®Google Scholar
• Stawarczyk, D., & D'Argembeau, A. (2015). Neural correlates of personal goal processing during episodic future thinking and mind-wandering: An ALE meta-analysis. Human Brain Mapping, 36(8), 2928–2947. doi:10.1002/hbm.22818
   PubMed Web of Science ®Google Scholar
• Steriade, M., McCormick, D. A., & Sejnowski, T. J. (1993). Thalamocortical oscillations in the sleeping and aroused brain. Science, 262(5134), 679–685.
   PubMed Web of Science ®Google Scholar
• Stephens, G. J., Honey, C. J., & Hasson, U. (2013). A place for time: The spatiotemporal structure of neural dynamics during natural audition. Journal of Neurophysiology, 110(9), 2019–2026.
   PubMed Web of Science ®Google Scholar
• Sui, J., & Humphreys, G. W. (2015). The integrative self: How self-reference integrates perception and memory. Trends in Cognitive Science, 19(12), 719–728. doi:10.1016/j.tics.2015.08.015
   PubMed Web of Science ®Google Scholar
• Szpunar, K. K. (2010). Episodic future thought: An emerging concept. Perspectives on Psychological Science, 5(2), 142–162. doi:10.1177/1745691610362350
   Web of Science ®Google Scholar
• Szpunar, K. K., Spreng, R. N., & Schacter, D. L. (2014). A taxonomy of prospection: Introducing an organizational framework for future-oriented cognition. Proceedings of the National Academy of Sciences of the United States of America, 111(52), 18414–18421. doi:10.1073/pnas.1417144111
   PubMed Web of Science ®Google Scholar
• Szpunar, K. K., Watson, J.M., & McDermott, K. B. (2007). Neural substrates of envisioning the future. Proceedings of the National Academy of Sciences of the United States of America, 104(2), 642–647.
   PubMed Web of Science ®Google Scholar
• van der Meer, L., Costafreda, S., Aleman, A., & David, A. S. (2010). Self-reflection and the brain: A theoretical review and meta-analysis of neuroimaging studies with implications for schizophrenia. Neuroscience & Biobehavioral Reviews, 34(6), 935–946. doi:10.1016/j.neubiorev.2009.12.004
   PubMed Web of Science ®Google Scholar
• Vanhatalo, S., Palva, J. M., Holmes, M. D., Miller, J. W., Voipio, J., & Kaila, K. (2004). Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep. Proceedings of the National Academy of Sciences of the United States of America, 101(14), 5053–5057.
   PubMed Web of Science ®Google Scholar
• Whitfield-Gabrieli, S., Moran, J. M., Nieto-Castañón, A., Triantafyllou, C., Saxe, R., & Gabrieli, J. D. (2011). Associations and dissociations between default and self-reference networks in the human brain. Neuroimage, 55(1), 225–232.
   PubMed Web of Science ®Google Scholar
• Wittmann, M. (2015). Modulations of the experience of self and time. Conscious Cognition, 38, 172–181. doi:10.1016/j.concog.2015.06.008
   PubMed Web of Science ®Google Scholar
• Wolf, A., Huang, Z., & Northoff, G. (2017). Is our self spatiotemporal? Scale-free properties of self-consciousness in EEG. Manuscript in review.
   Google Scholar
• Zhang, Z., Liao, W., Zuo, X. N., Wang, Z., Yuan, C., Jiao, Q., .... Liu, Y. Resting-state brain organization revelaed by functional covariance networks. PLoS One, 6(12), e28817. doi: 10.1371/journal.pone.0028817.
   PubMed Web of Science ®Google Scholar
• Zhigalov, A., Arnulfo, G. Nobili, L., Palva, S., & Palva, J. M. (2015). Relationship of fast- and slow-timescale neuronal dynamics in human MEG and SEEG. Journal of Neuroscience, 35(13), 5385–5396. doi: 10.1523/JNEUROSCI.4880-14.2015.
   PubMed Web of Science ®Google Scholar