{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T02:37:39Z","timestamp":1790822259067,"version":"4.1.0"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T00:00:00Z","timestamp":1536710400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"crossref","award":["Grant LZ15H180001"],"award-info":[{"award-number":["Grant LZ15H180001"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the Youth 1000 Talent Program of China"},{"name":"Hangzhou Qianjiang Endowed Professor Program"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 61671198"],"award-info":[{"award-number":["No. 61671198"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Imaging and Behavior"],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1007\/s11682-018-9963-4","type":"journal-article","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T05:42:04Z","timestamp":1536730924000},"page":"1486-1495","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":60,"title":["Associations of brain entropy (BEN) to cerebral blood flow and fractional amplitude of low-frequency fluctuations in the resting brain"],"prefix":"10.1007","volume":"13","author":[{"given":"Donghui","family":"Song","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Da","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiu","family":"Ge","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-Feng","family":"Zang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8339-5567","authenticated-orcid":false,"given":"Ze","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,9,12]]},"reference":[{"issue":"37","key":"9963_CR1","doi-asserted-by":"publisher","first-page":"14921","DOI":"10.1523\/JNEUROSCI.1313-13.2013","volume":"33","author":"M Adibi","year":"2013","unstructured":"Adibi, M., Clifford, C. W., & Arabzadeh, E. (2013). Informational basis of sensory adaptation: Entropy and single-spike efficiency in rat barrel cortex. Journal of Neuroscience the Official Journal of the Society for Neuroscience, 33(37), 14921\u201314926.","journal-title":"Journal of Neuroscience the Official Journal of the Society for Neuroscience"},{"issue":"5","key":"9963_CR2","first-page":"391","volume":"23","author":"JC Baron","year":"1982","unstructured":"Baron, J. C., Lebrun-Grandie, P., Collard, P., Crouzel, C., Mestelan, G., & Bousser, M. G. (1982). Noninvasive measurement of blood flow, oxygen consumption, and glucose utilization in the same brain regions in man by positron emission tomography: Concise communication. Journal of Nuclear Medicine, 23(5), 391\u2013399.","journal-title":"Journal of Nuclear Medicine"},{"issue":"5","key":"9963_CR3","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.tics.2011.03.006","volume":"15","author":"DS Bassett","year":"2011","unstructured":"Bassett, D. S., & Gazzaniga, M. S. (2011). Understanding complexity in the human brain. Trends in Cognitive Sciences, 15(5), 200.","journal-title":"Trends in Cognitive Sciences"},{"issue":"4","key":"9963_CR4","doi-asserted-by":"crossref","first-page":"495","DOI":"10.55782\/ane-2000-1369","volume":"60","author":"J Bhattacharya","year":"2000","unstructured":"Bhattacharya, J. (2000). Complexity analysis of spontaneous EEG. Acta Neurobiologiae Experimentalis, 60(4), 495.","journal-title":"Acta Neurobiologiae Experimentalis"},{"issue":"4","key":"9963_CR5","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1002\/mrm.1910340409","volume":"34","author":"B Biswal","year":"1995","unstructured":"Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995). Functional connectivity in the motor cortex of resting human brain using echo-planar mri. Magnetic Resonance in Medicine, 34(4), 537\u2013541.","journal-title":"Magnetic Resonance in Medicine"},{"issue":"1","key":"9963_CR6","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1186\/1741-7015-9-18","volume":"9","author":"W Bosl","year":"2011","unstructured":"Bosl, W., Tierney, A., Tager-Flusberg, H., & Nelson, C. (2011). EEG complexity as a biomarker for autism spectrum disorder risk. BMC Medicine, 9(1), 18.","journal-title":"BMC Medicine"},{"issue":"1","key":"9963_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/andp.18621910102","volume":"191","author":"R Clausius","year":"1862","unstructured":"Clausius, R. (1862). Ueber die w\u00e4rmeleitung gasf\u00f6rmiger k\u00f6rper. Annalen der Physik, 191(1), 1\u201356.","journal-title":"Annalen der Physik"},{"issue":"1","key":"9963_CR8","doi-asserted-by":"publisher","first-page":"2700","DOI":"10.1038\/s41598-018-21008-6","volume":"8","author":"C Da","year":"2018","unstructured":"Da, C., Song, D., Jian, Z., Shang, Y., Qiu, G., & Wang, Z. (2018). Caffeine caused a widespread increase of resting brain entropy. Scientific Reports, 8(1), 2700.","journal-title":"Scientific Reports"},{"issue":"4","key":"9963_CR9","doi-asserted-by":"publisher","first-page":"291","DOI":"10.3109\/02699058809150899","volume":"2","author":"DS DeWitt","year":"1988","unstructured":"DeWitt, D. S., Yuan, X. Q., Becker, D. P., & Hayes, R. L. (1988). Simultaneous, quantitative measurement of local blood flow and glucose utilization in tissue samples in normal and injured feline brain. Brain Injury, 2(4), 291\u2013303.","journal-title":"Brain Injury"},{"key":"9963_CR10","unstructured":"Fisher, R. A. (1921). On the \u201cprobable error\u201d of a coefficient of correlation. Metron, 1, 1\u201332."},{"issue":"1","key":"9963_CR11","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1002\/hbm.20113","volume":"26","author":"P Fransson","year":"2005","unstructured":"Fransson, P. (2005). Spontaneous low-frequency BOLD signal fluctuations: An fMRI investigation of the resting-state default mode of brain function hypothesis. Human Brain Mapping, 26(1), 15\u201329.","journal-title":"Human Brain Mapping"},{"issue":"3","key":"9963_CR12","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1093\/cercor\/2.3.259","volume":"2","author":"KJ Friston","year":"1992","unstructured":"Friston, K. J., Frith, C. D., Passingham, R. E., Dolan, R. J., Liddle, P. F., & Frackowiak, R. S. (1992). Entropy and cortical activity: Information theory and PET findings. Cerebral Cortex, 2(3), 259\u2013267.","journal-title":"Cerebral Cortex"},{"issue":"4","key":"9963_CR13","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1002\/hbm.460030405","volume":"3","author":"KJ Friston","year":"2010","unstructured":"Friston, K. J., Tononi, G., Sporns, O., & Edelman, G. M. (2010). Characterising the complexity of neuronal interactions. Human Brain Mapping, 3(4), 302\u2013314.","journal-title":"Human Brain Mapping"},{"issue":"1","key":"9963_CR14","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1038\/jcbfm.1983.7","volume":"3","author":"TW Furlow Jr","year":"1983","unstructured":"Furlow Jr., T. W., Martin, R. M., & Harrison, L. E. (1983). Simultaneous measurement of local glucose utilization and blood flow in the rat brain: An autoradiographic method using two tracers labeled with carbon-14. Journal of Cerebral Blood Flow and Metabolism, 3(1), 62\u201366.","journal-title":"Journal of Cerebral Blood Flow and Metabolism"},{"key":"9963_CR15","unstructured":"Fuster, J. (2015). The prefrontal cortex (Fifth Edition). Elsevier Ltd."},{"issue":"1","key":"9963_CR16","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/S0197-4580(01)00266-4","volume":"23","author":"AL Goldberger","year":"2002","unstructured":"Goldberger, A. L., Peng, C. K., & Lipsitz, L. A. (2002). What is physiologic complexity and how does it change with aging and disease? Neurobiology of Aging, 23(1), 23\u201326.","journal-title":"Neurobiology of Aging"},{"issue":"1","key":"9963_CR17","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1073\/pnas.0135058100","volume":"100","author":"MD Greicius","year":"2003","unstructured":"Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003). Functional connectivity in the resting brain: A network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences of the United States of America, 100(1), 253\u2013258.","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"issue":"2","key":"9963_CR18","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1093\/schbul\/16.2.247","volume":"16","author":"RE Gur","year":"1990","unstructured":"Gur, R. E., & Gur, R. C. (1990). Gender differences in regional cerebral blood flow. Schizophrenia Bulletin, 16(2), 247\u2013254.","journal-title":"Schizophrenia Bulletin"},{"key":"9963_CR19","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3389\/fnana.2014.00015","volume":"8","author":"MA Hofman","year":"2014","unstructured":"Hofman, M. A. (2014). Evolution of the human brain: When bigger is better. Frontiers in Neuroanatomy, 8, 15.","journal-title":"Frontiers in Neuroanatomy"},{"issue":"10","key":"9963_CR20","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1212\/WNL.0b013e3181f11e35","volume":"75","author":"WT Hu","year":"2010","unstructured":"Hu, W. T., Wang, Z., Lee, V. M. Y., Trojanowski, J. Q., Detre, J. A., & Grossman, M. (2010). Distinct cerebral perfusion patterns in FTLD and AD. Neurology, 75(10), 881\u2013888.","journal-title":"Neurology"},{"issue":"1","key":"9963_CR21","doi-asserted-by":"publisher","first-page":"7990","DOI":"10.1038\/s41598-017-08565-y","volume":"7","author":"Y Jia","year":"2017","unstructured":"Jia, Y., Gu, H., & Luo, Q. (2017). Sample entropy reveals an age-related reduction in the complexity of dynamic brain. Scientific Reports, 7(1), 7990.","journal-title":"Scientific Reports"},{"issue":"3","key":"9963_CR22","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1002\/1522-2594(200009)44:3<373::AID-MRM5>3.0.CO;2-P","volume":"44","author":"V Kiviniemi","year":"2000","unstructured":"Kiviniemi, V., Jauhiainen, J., Tervonen, O., P\u00e4\u00e4kk\u00f6, E., Oikarinen, J., Vainionp\u00e4\u00e4, V., Rantala, H., & Biswal, B. (2000). Slow vasomotor fluctuation in fMRI of anesthetized child brain. Magnetic Resonance in Medicine, 44(3), 373.","journal-title":"Magnetic Resonance in Medicine"},{"issue":"3","key":"9963_CR23","doi-asserted-by":"publisher","first-page":"R789","DOI":"10.1152\/ajpregu.00069.2002","volume":"283","author":"DE Lake","year":"2002","unstructured":"Lake, D. E., Richman, J. S., Griffin, M. P., & Moorman, J. R. (2002). Sample entropy analysis of neonatal heart rate variability. American Journal of Physiology Regulatory Integrative & Comparative Physiology, 283(3), R789.","journal-title":"American Journal of Physiology Regulatory Integrative & Comparative Physiology"},{"issue":"9","key":"9963_CR24","doi-asserted-by":"publisher","first-page":"3203","DOI":"10.1002\/hbm.23234","volume":"37","author":"AV Lebedev","year":"2016","unstructured":"Lebedev, A. V., Kaelen, M., L\u00f6vd\u00e9n, M., Nilsson, J., Feilding, A., Nutt, D. J., & Carhart-Harris, R. L. (2016). LSD-induced entropic brain activity predicts subsequent personality change. Human Brain Mapping, 37(9), 3203.","journal-title":"Human Brain Mapping"},{"issue":"10","key":"9963_CR25","doi-asserted-by":"publisher","first-page":"1866","DOI":"10.3174\/ajnr.A3263","volume":"34","author":"MH Lee","year":"2013","unstructured":"Lee, M. H., Smyser, C. D., & Shimony, J. S. (2013). Resting state fMRI: A review of methods and clinical applications. Ajnr American Journal of Neuroradiology, 34(10), 1866\u20131872.","journal-title":"Ajnr American Journal of Neuroradiology"},{"issue":"9","key":"9963_CR26","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0044556","volume":"7","author":"Z Li","year":"2012","unstructured":"Li, Z., Zhu, Y., Childress, A. R., Detre, J. A., & Wang, Z. (2012). Relations between BOLD fMRI-derived resting brain activity and cerebral blood flow. PLoS One, 7(9), e44556.","journal-title":"PLoS One"},{"key":"9963_CR27","doi-asserted-by":"publisher","DOI":"10.1038\/srep29435","volume":"6","author":"Z Li","year":"2016","unstructured":"Li, Z., Fang, Z., Hager, N., Rao, H., & Wang, Z. (2016). Hyper-resting brain entropy within chronic smokers and its moderation by sex. Scientific Reports, 6, 29435.","journal-title":"Scientific Reports"},{"issue":"16","key":"9963_CR28","first-page":"pe16","volume":"2004","author":"LA Lipsitz","year":"2004","unstructured":"Lipsitz, L. A. (2004). Physiological complexity, aging, and the path to frailty. Science of Aging Knowledge Environment Sage Ke, 2004(16), pe16.","journal-title":"Science of Aging Knowledge Environment Sage Ke"},{"issue":"2","key":"9963_CR29","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1002\/mrm.20148","volume":"52","author":"ZM Liu","year":"2004","unstructured":"Liu, Z. M., Schmidt, K. F., Sicard, K. M., & Duong, T. Q. (2004). Imaging oxygen consumption in forepaw somatosensory stimulation in rats under isoflurane anesthesia. Magnetic Resonance in Medicine, 52(2), 277\u2013285.","journal-title":"Magnetic Resonance in Medicine"},{"issue":"2","key":"9963_CR30","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1006\/nimg.1997.0315","volume":"7","author":"MJ Lowe","year":"1998","unstructured":"Lowe, M. J., Mock, B. J., & Sorenson, J. A. (1998). Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. NeuroImage, 7(2), 119.","journal-title":"NeuroImage"},{"issue":"3","key":"9963_CR31","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1017\/S146479310100570X","volume":"76","author":"EM Macphail","year":"2001","unstructured":"Macphail, E. M., & Bolhuis, J. J. (2001). The evolution of intelligence: Adaptive specializations versus general process. Biological Reviews of the Cambridge Philosophical Society, 76(3), 341\u2013364.","journal-title":"Biological Reviews of the Cambridge Philosophical Society"},{"issue":"1","key":"9963_CR32","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/0304-3940(96)12539-8","volume":"208","author":"M M\u00f6lle","year":"1996","unstructured":"M\u00f6lle, M., Marshall, L., Lutzenberger, W., Pietrowsky, R., Fehm, H. L., & Born, J. (1996). Enhanced dynamic complexity in the human EEG during creative thinking. Neuroscience Letters, 208(1), 61\u201364.","journal-title":"Neuroscience Letters"},{"key":"9963_CR33","doi-asserted-by":"crossref","unstructured":"Nelson, M. J., S. Dehaene, C. Pallier and J. T. Hale (2017). Entropy reduction correlates with temporal lobe activity. The Workshop on Cognitive Modeling & Computational Linguistics.","DOI":"10.18653\/v1\/W17-0701"},{"key":"9963_CR34","unstructured":"Potthoff, R. F. (1966). Statistical aspects of problem of biases in psychological tests. North Carolina State University. Department of Statistics."},{"issue":"3","key":"9963_CR35","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1073\/pnas.95.3.765","volume":"95","author":"ME Raichle","year":"1998","unstructured":"Raichle, M. E. (1998). Behind the scenes of functional brain imaging: A historical and physiological perspective. Proceedings of the National Academy of Sciences of the United States of America, 95(3), 765\u2013772.","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"key":"9963_CR36","doi-asserted-by":"publisher","first-page":"676","DOI":"10.1073\/pnas.98.2.676","volume":"98","author":"ME Raichle","year":"2001","unstructured":"Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001). A default mode of brain function. PNAS, 98, 676\u2013682.","journal-title":"PNAS"},{"issue":"6","key":"9963_CR37","doi-asserted-by":"publisher","first-page":"H2039","DOI":"10.1152\/ajpheart.2000.278.6.H2039","volume":"278","author":"JS Richman","year":"2000","unstructured":"Richman, J. S., & Moorman, J. R. (2000). Physiological time-series analysis using approximate entropy and sample entropy. American Journal of Physiology Heart & Circulatory Physiology, 278(6), H2039.","journal-title":"American Journal of Physiology Heart & Circulatory Physiology"},{"issue":"1","key":"9963_CR38","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.tics.2013.09.013","volume":"18","author":"JK Rilling","year":"2014","unstructured":"Rilling, J. K. (2014). Comparative primate neuroimaging: Insights into human brain evolution. Trends in Cognitive Sciences, 18(1), 46\u201355.","journal-title":"Trends in Cognitive Sciences"},{"issue":"6","key":"9963_CR39","doi-asserted-by":"publisher","first-page":"783","DOI":"10.1038\/jcbfm.1988.133","volume":"8","author":"G Rodriguez","year":"1988","unstructured":"Rodriguez, G., Warkentin, S., Risberg, J., & Rosadini, G. (1988). Sex differences in regional cerebral blood flow.\u00a0Journal of Cerebral Blood Flow and Metabolism, 8(6), 783\u2013789.","journal-title":"Journal of Cerebral Blood Flow and Metabolism"},{"key":"9963_CR40","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1016\/B978-0-444-53860-4.00020-9","volume":"195","author":"G Roth","year":"2012","unstructured":"Roth, G., & Dicke, U. (2012). Evolution of the brain and intelligence in primates. Progress in Brain Research, 195, 413\u2013430.","journal-title":"Progress in Brain Research"},{"issue":"1","key":"9963_CR41","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1089\/brain.2012.0080","volume":"2","author":"ZS Saad","year":"2012","unstructured":"Saad, Z. S., Gotts, S. J., Murphy, K., Chen, G., Jo, H. J., Martin, A., & Cox, R. W. (2012). Trouble at rest: How correlation patterns and group differences become distorted after global signal regression. Brain Connectivity, 2(1), 25.","journal-title":"Brain Connectivity"},{"issue":"3","key":"9963_CR42","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.artmed.2009.03.003","volume":"47","author":"M Sabeti","year":"2009","unstructured":"Sabeti, M., Katebi, S., & Boostani, R. (2009). Entropy and complexity measures for EEG signal classification of schizophrenic and control participants. Artificial Intelligence in Medicine, 47(3), 263\u2013274.","journal-title":"Artificial Intelligence in Medicine"},{"key":"9963_CR43","doi-asserted-by":"publisher","first-page":"379\u2013423","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","volume":"27","author":"CE Shannon","year":"1948","unstructured":"Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 379\u2013423\u2013623\u2013656.","journal-title":"Bell System Technical Journal"},{"issue":"2","key":"9963_CR44","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1017\/S1062798709000751","volume":"17","author":"W Singer","year":"2009","unstructured":"Singer, W. (2009). The brain, a complex self-organizing system. European Review, 17(2), 321\u2013329.","journal-title":"European Review"},{"issue":"2","key":"9963_CR45","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1007\/s11682-013-9276-6","volume":"8","author":"RX Smith","year":"2014","unstructured":"Smith, R. X., Yan, L., & Wang, D. J. J. (2014). Multiple time scale complexity analysis of resting state FMRI. Brain Imaging & Behavior, 8(2), 284.","journal-title":"Brain Imaging & Behavior"},{"issue":"3","key":"9963_CR46","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/j.pscychresns.2013.10.001","volume":"214","author":"M Sokunbi","year":"2014","unstructured":"Sokunbi, M., Fung, W., Sawlani, V., Choppin, S., Linden, D., & Thome, J. (2014a). Resting state fMRI entropy probes complexity of brain activity in adults with ADHD. Psychiatry Research: Neuroimaging, 214(3), 341\u2013348.","journal-title":"Psychiatry Research: Neuroimaging"},{"issue":"5","key":"9963_CR47","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0095146","volume":"9","author":"MO Sokunbi","year":"2014","unstructured":"Sokunbi, M. O., Gradin, V. B., Waiter, G. D., Cameron, G. G., Ahearn, T. S., Murray, A. D., Steele, D. J., & R. T. Staff. (2014b). Nonlinear complexity analysis of brain FMRI signals in schizophrenia. PLoS One, 9(5), e95146.","journal-title":"PLoS One"},{"key":"9963_CR48","unstructured":"Song, D., Chang, D., Zhang, J., Peng, W., Shang, Y., Gao X., & Wang, Z. (2018). Reduced brain entropy by repetivive transcranial magnetic stimulation on the left dorsolateral in the healthy young adults. Brain Imaging & Behavior, 1\u20139."},{"issue":"12","key":"9963_CR49","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1016\/S1364-6613(98)01259-5","volume":"2","author":"G Tononi","year":"1998","unstructured":"Tononi, G., Edelman, G. M., & Sporns, O. (1998). Complexity and coherency: Integrating information in the brain. Trends in Cognitive Sciences, 2(12), 474\u2013484.","journal-title":"Trends in Cognitive Sciences"},{"issue":"6","key":"9963_CR50","doi-asserted-by":"publisher","first-page":"1046","DOI":"10.1177\/0271678X15606460","volume":"36","author":"MB Vestergaard","year":"2016","unstructured":"Vestergaard, M. B., Lindberg, U., Aachmann-Andersen, N. J., Lisbjerg, K., Christensen, S. J., Law, I., Rasmussen, P., Olsen, N. V., & Larsson, H. B. (2016). Acute hypoxia increases the cerebral metabolic rate - a magnetic resonance imaging study. Journal of Cerebral Blood Flow and Metabolism, 36(6), 1046\u20131058.","journal-title":"Journal of Cerebral Blood Flow and Metabolism"},{"issue":"3","key":"9963_CR51","doi-asserted-by":"publisher","first-page":"e89948","DOI":"10.1371\/journal.pone.0089948","volume":"9","author":"Z Wang","year":"2014","unstructured":"Wang, Z., Li, Y., Childress, A. R., & Detre, J. A. (2014). Brain entropy mapping using fMRI. PLoS One, 9(3), e89948.","journal-title":"PLoS One"},{"key":"9963_CR52","doi-asserted-by":"publisher","first-page":"378","DOI":"10.3389\/fnagi.2017.00378","volume":"9","author":"B Wang","year":"2017","unstructured":"Wang, B., Niu, Y., Miao, L., Cao, R., Yan, P., Guo, H., Li, D., Guo, Y., Yan, T., & Wu, J. (2017). Decreased complexity in Alzheimer's disease: Resting-state fMRI evidence of brain entropy mapping. Frontiers in Aging Neuroscience, 9, 378.","journal-title":"Frontiers in Aging Neuroscience"},{"issue":"2","key":"9963_CR53","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1016\/j.neurobiolaging.2012.05.004","volume":"34","author":"AC Yang","year":"2013","unstructured":"Yang, A. C., Huang, C. C., Yeh, H. L., Liu, M. E., Hong, C. J., Tu, P. C., Chen, J. F., Huang, N. E., Peng, C. K., Lin, C. P., & Tsai, S. J. (2013). Complexity of spontaneous BOLD activity in default mode network is correlated with cognitive function in normal male elderly: A multiscale entropy analysis. Neurobiology of Aging, 34(2), 428\u2013438.","journal-title":"Neurobiology of Aging"},{"key":"9963_CR54","doi-asserted-by":"publisher","first-page":"2853","DOI":"10.1038\/srep02853","volume":"3","author":"Y Yao","year":"2013","unstructured":"Yao, Y., Lu, W. L., Xu, B., Li, C. B., Lin, C. P., Waxman, D., & Feng, J. F. (2013). The increase of the functional entropy of the human brain with age. Scientific Reports, 3, 2853.","journal-title":"Scientific Reports"},{"issue":"6","key":"9963_CR55","doi-asserted-by":"publisher","first-page":"1622","DOI":"10.1111\/adb.12459","volume":"22","author":"JS Ze Wang","year":"2017","unstructured":"Ze Wang, J. S., Duan, D., Darnley, S., Jing, Y., Zhang, J., O'Brien, C., & Childress, A. R. (2017). A hypo-status in drug dependent brain revealed by multi-modal MRI. Addiction Biology, 22(6), 1622\u20131631.","journal-title":"Addiction Biology"},{"issue":"1","key":"9963_CR56","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0146080","volume":"11","author":"F Zhou","year":"2016","unstructured":"Zhou, F., Zhuang, Y., Gong, H., Zhan, J., Grossman, M., & Wang, Z. (2016). Resting state brain entropy alterations in relapsing remitting multiple sclerosis. PLoS One, 11(1), e0146080.","journal-title":"PLoS One"},{"issue":"1","key":"9963_CR57","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.jneumeth.2008.04.012","volume":"172","author":"QH Zou","year":"2008","unstructured":"Zou, Q. H., Zhu, C. Z., Yang, Y., Zuo, X. N., Long, X. Y., Cao, Q. J., Wang, Y. F., & Zang, Y. F. (2008). An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF. Journal of Neuroscience Methods, 172(1), 137\u2013141.","journal-title":"Journal of Neuroscience Methods"},{"issue":"3","key":"9963_CR58","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1016\/j.neuroimage.2009.07.006","volume":"48","author":"Q Zou","year":"2009","unstructured":"Zou, Q., Wu, C. W., Stein, E. A., Zang, Y., & Yang, Y. (2009). Static and dynamic characteristics of cerebral blood flow during the resting state. NeuroImage, 48(3), 515\u2013524.","journal-title":"NeuroImage"},{"key":"9963_CR59","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.neuroimage.2015.07.044","volume":"121","author":"Q Zou","year":"2015","unstructured":"Zou, Q., Miao, X., Liu, D., Wang, D. J. J., Zhuo, Y., & Gao, J. H. (2015). Reliability comparison of spontaneous brain activities between BOLD and CBF contrasts in eyes-open and eyes-closed resting states. Neuroimage, 121, 91\u2013105.","journal-title":"Neuroimage"}],"container-title":["Brain Imaging and Behavior"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-018-9963-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11682-018-9963-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-018-9963-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T06:01:27Z","timestamp":1720591287000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11682-018-9963-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,12]]},"references-count":59,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2019,10]]}},"alternative-id":["9963"],"URL":"https:\/\/doi.org\/10.1007\/s11682-018-9963-4","relation":{},"ISSN":["1931-7557","1931-7565"],"issn-type":[{"value":"1931-7557","type":"print"},{"value":"1931-7565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,9,12]]},"assertion":[{"value":"12 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"All authors declared no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed written consents were obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}