{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T09:08:07Z","timestamp":1766048887770},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T00:00:00Z","timestamp":1508716800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"the National Natural Science Foundation of China under Grant Nos","award":["81471737, 81473603, 81571640, 81371530, 81501543, 81401478, 81571751, 81470816, 81301281"],"award-info":[{"award-number":["81471737, 81473603, 81571640, 81371530, 81501543, 81401478, 81571751, 81470816, 81301281"]}]},{"name":"the Fundamental Research Funds for the Central Universities"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Imaging and Behavior"],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1007\/s11682-017-9782-z","type":"journal-article","created":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T18:26:13Z","timestamp":1508783173000},"page":"1099-1111","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Abnormal interaction between cognitive control network and affective network in patients with end-stage renal disease"],"prefix":"10.1007","volume":"12","author":[{"given":"Junya","family":"Mu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qianqian","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dun","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueying","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anmao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingxia","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zengjun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jixin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,23]]},"reference":[{"issue":"2","key":"9782_CR1","doi-asserted-by":"publisher","first-page":"e17","DOI":"10.1371\/journal.pcbi.0030017","volume":"3","author":"S Achard","year":"2007","unstructured":"Achard, S., & Bullmore, E. (2007). Efficiency and cost of economical brain functional networks. PLoS Computationalt Biology, 3(2), e17. \n                        https:\/\/doi.org\/10.1371\/journal.pcbi.0030017\n                        \n                    .","journal-title":"PLoS Computationalt Biology"},{"issue":"6","key":"9782_CR2","doi-asserted-by":"publisher","first-page":"e1000408","DOI":"10.1371\/journal.pcbi.1000408","volume":"5","author":"J Alstott","year":"2009","unstructured":"Alstott, J., Breakspear, M., Hagmann, P., Cammoun, L., & Sporns, O. (2009). Modeling the impact of lesions in the human brain. PLoS Computationalt Biology, 5(6), e1000408. \n                        https:\/\/doi.org\/10.1371\/journal.pcbi.1000408\n                        \n                    .","journal-title":"PLoS Computationalt Biology"},{"issue":"4","key":"9782_CR3","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1016\/j.tics.2004.02.010","volume":"8","author":"AR Aron","year":"2004","unstructured":"Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2004). Inhibition and the right inferior frontal cortex. Trends in Cognitive Science, 8(4), 170\u2013177. \n                        https:\/\/doi.org\/10.1016\/j.tics.2004.02.010\n                        \n                    .","journal-title":"Trends in Cognitive Science"},{"key":"9782_CR4","doi-asserted-by":"publisher","first-page":"197","DOI":"10.3389\/fnbeh.2013.00197","volume":"7","author":"B Becker","year":"2013","unstructured":"Becker, B., Androsch, L., Jahn, R. T., Alich, T., Striepens, N., Markett, S., et al. (2013). Inferior frontal gyrus preserves working memory and emotional learning under conditions of impaired noradrenergic signaling. Frontiers in Behavioral Neuroscience, 7, 197. \n                        https:\/\/doi.org\/10.3389\/fnbeh.2013.00197\n                        \n                    .","journal-title":"Frontiers in Behavioral Neuroscience"},{"issue":"3","key":"9782_CR5","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1681\/ASN.2012050536","volume":"24","author":"JM Bugnicourt","year":"2013","unstructured":"Bugnicourt, J. M., Godefroy, O., Chillon, J. M., Choukroun, G., & Massy, Z. A. (2013). Cognitive disorders and dementia in CKD: the neglected kidney-brain axis. Journal of the American Society of Nephrology, 24(3), 353\u2013363. \n                        https:\/\/doi.org\/10.1681\/ASN.2012050536\n                        \n                    .","journal-title":"Journal of the American Society of Nephrology"},{"issue":"1","key":"9782_CR6","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1007\/s11682-015-9358-8","volume":"10","author":"C Cai","year":"2016","unstructured":"Cai, C., Yuan, K., Yin, J., Feng, D., Bi, Y., Li, Y., et al. (2016). Striatum morphometry is associated with cognitive control deficits and symptom severity in internet gaming disorder. Brain Imaging and Behavior, 10(1), 12\u201320. \n                        https:\/\/doi.org\/10.1007\/s11682-015-9358-8\n                        \n                    .","journal-title":"Brain Imaging and Behavior"},{"issue":"3","key":"9782_CR7","doi-asserted-by":"publisher","first-page":"2223","DOI":"10.1007\/s12035-016-9811-8","volume":"54","author":"HJ Chen","year":"2017","unstructured":"Chen, H. J., Wang, Y. F., Qi, R., Schoepf, U. J., Varga-Szemes, A., Ball, B. D., et al. (2017). Altered amygdala resting-state functional connectivity in maintenance hemodialysis end-stage renal disease patients with depressive mood. Molecular Neurobiology, 54(3), 2223\u20132233. \n                        https:\/\/doi.org\/10.1007\/s12035-016-9811-8\n                        \n                    .","journal-title":"Molecular Neurobiology"},{"issue":"4","key":"9782_CR8","doi-asserted-by":"publisher","first-page":"c256-264","DOI":"10.1159\/000124749","volume":"108","author":"J Chilcot","year":"2008","unstructured":"Chilcot, J., Wellsted, D., Da Silva-Gane, M., & Farrington, K. (2008). Depression on dialysis. Nephron Clinical Practice, 108(4), c256-264. \n                        https:\/\/doi.org\/10.1159\/000124749\n                        \n                    .","journal-title":"Nephron Clinical Practice"},{"issue":"40","key":"9782_CR9","doi-asserted-by":"publisher","first-page":"12574","DOI":"10.1523\/JNEUROSCI.2614-09.2009","volume":"29","author":"GI Christopoulos","year":"2009","unstructured":"Christopoulos, G. I., Tobler, P. N., Bossaerts, P., Dolan, R. J., & Schultz, W. (2009). Neural correlates of value, risk, and risk aversion contributing to decision making under risk. Journal of Neuroscience, 29(40), 12574\u201312583. \n                        https:\/\/doi.org\/10.1523\/JNEUROSCI.2614-09.2009\n                        \n                    .","journal-title":"Journal of Neuroscience"},{"issue":"48","key":"9782_CR10","doi-asserted-by":"publisher","first-page":"12083","DOI":"10.1523\/JNEUROSCI.2965-15.2016","volume":"36","author":"JR Cohen","year":"2016","unstructured":"Cohen, J. R., & D\u2019Esposito, M. (2016). The segregation and integration of distinct brain networks and their relationship to cognition. Journal of Neuroscience, 36(48), 12083\u201312094. \n                        https:\/\/doi.org\/10.1523\/JNEUROSCI.2965-15.2016\n                        \n                    .","journal-title":"Journal of Neuroscience"},{"issue":"4","key":"9782_CR11","first-page":"191","volume":"92","author":"PP Deyn De","year":"1992","unstructured":"De Deyn, P. P., Saxena, V. K., Abts, H., Borggreve, F., D\u2019Hooge, R., Marescau, B., et al. (1992). Clinical and pathophysiological aspects of neurological complications in renal failure. Acta Neurologica Belgica, 92(4), 191\u2013206.","journal-title":"Acta Neurologica Belgica"},{"issue":"7","key":"9782_CR12","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1038\/nrn3963","volume":"16","author":"G Deco","year":"2015","unstructured":"Deco, G., Tononi, G., Boly, M., & Kringelbach, M. L. (2015). Rethinking segregation and integration: contributions of whole-brain modelling. Nature Review Neuroscience, 16(7), 430\u2013439. \n                        https:\/\/doi.org\/10.1038\/nrn3963\n                        \n                    .","journal-title":"Nature Review Neuroscience"},{"issue":"5","key":"9782_CR13","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1159\/000338135","volume":"35","author":"T Etgen","year":"2012","unstructured":"Etgen, T., Chonchol, M., Forstl, H., & Sander, D. (2012). Chronic kidney disease and cognitive impairment: a systematic review and meta-analysis. American Journal of Nephrology, 35(5), 474\u2013482. \n                        https:\/\/doi.org\/10.1159\/000338135\n                        \n                    .","journal-title":"American Journal of Nephrology"},{"issue":"8","key":"9782_CR14","doi-asserted-by":"publisher","first-page":"3508","DOI":"10.1093\/cercor\/bhw157","volume":"26","author":"L Fan","year":"2016","unstructured":"Fan, L., Li, H., Zhuo, J., Zhang, Y., Wang, J., Chen, L., et al. (2016). The Human Brainnetome Atlas: a new brain atlas based on connectional architecture. Cerebral Cortex, 26(8), 3508\u20133526. \n                        https:\/\/doi.org\/10.1093\/cercor\/bhw157\n                        \n                    .","journal-title":"Cerebral Cortex"},{"issue":"3","key":"9782_CR15","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1038\/nrn3901","volume":"16","author":"A Fornito","year":"2015","unstructured":"Fornito, A., Zalesky, A., & Breakspear, M. (2015). The connectomics of brain disorders. Nature Review Neuroscience, 16(3), 159\u2013172. \n                        https:\/\/doi.org\/10.1038\/nrn3901\n                        \n                    .","journal-title":"Nature Review Neuroscience"},{"key":"9782_CR16","doi-asserted-by":"publisher","first-page":"22","DOI":"10.3389\/fnsys.2010.00022","volume":"4","author":"A Fornito","year":"2010","unstructured":"Fornito, A., Zalesky, A., & Bullmore, E. T. (2010). Network scaling effects in graph analytic studies of human resting-state FMRI data. Frontiers in Systems Neuroscience, 4, 22. \n                        https:\/\/doi.org\/10.3389\/fnsys.2010.00022\n                        \n                    .","journal-title":"Frontiers in Systems Neuroscience"},{"issue":"27","key":"9782_CR17","doi-asserted-by":"publisher","first-page":"9673","DOI":"10.1073\/pnas.0504136102","volume":"102","author":"MD Fox","year":"2005","unstructured":"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 Sciences of the United States of America, 102(27), 9673\u20139678. \n                        10.1073\/pnas.0504136102\n                        \n                    .","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"issue":"2","key":"9782_CR18","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1038\/84041","volume":"4","author":"I Fried","year":"2001","unstructured":"Fried, I., Wilson, C. L., Morrow, J. W., Cameron, K. A., Behnke, E. D., Ackerson, L. C., et al. (2001). Increased dopamine release in the human amygdala during performance of cognitive tasks. Nature Neuroscience, 4(2), 201\u2013206. \n                        https:\/\/doi.org\/10.1038\/84041\n                        \n                    .","journal-title":"Nature Neuroscience"},{"issue":"1","key":"9782_CR19","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1093\/ajcn\/34.1.61","volume":"34","author":"PL Graitcer","year":"1981","unstructured":"Graitcer, P. L., Goldsby, J. B., & Nichaman, M. Z. (1981). Hemoglobins and hematocrits: are they equally sensitive in detecting anemias? The American Journal of Clinical Nutrition, 34(1), 61\u201364.","journal-title":"The American Journal of Clinical Nutrition"},{"issue":"2","key":"9782_CR20","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1016\/j.neuroimage.2009.12.051","volume":"50","author":"S Hayasaka","year":"2010","unstructured":"Hayasaka, S., & Laurienti, P. J. (2010). Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data. NeuroImage, 50(2), 499\u2013508.","journal-title":"NeuroImage"},{"issue":"7","key":"9782_CR21","doi-asserted-by":"publisher","first-page":"802","DOI":"10.1002\/hbm.20579","volume":"29","author":"CJ Honey","year":"2008","unstructured":"Honey, C. J., & Sporns, O. (2008). Dynamical consequences of lesions in cortical networks. Human Brain Mapping, 29(7), 802\u2013809. \n                        https:\/\/doi.org\/10.1002\/hbm.20579\n                        \n                    .","journal-title":"Human Brain Mapping"},{"issue":"1","key":"9782_CR22","doi-asserted-by":"publisher","first-page":"111","DOI":"10.3233\/NRE-2011-0684","volume":"29","author":"HS Kim","year":"2011","unstructured":"Kim, H. S., Park, J. W., Bai, D. S., Jeong, J. Y., Hong, J. H., Son, S. M., et al. (2011). Diffusion tensor imaging findings in neurologically asymptomatic patients with end stage renal disease. NeuroRehabilitation, 29(1), 111\u2013116. \n                        https:\/\/doi.org\/10.3233\/NRE-2011-0684\n                        \n                    .","journal-title":"NeuroRehabilitation"},{"key":"9782_CR23","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/S0072-9752(08)01914-3","volume":"92","author":"A Kunz","year":"2009","unstructured":"Kunz, A., & Iadecola, C. (2009). Cerebral vascular dysregulation in the ischemic brain. Handbook of Clinical Neurology, 92, 283\u2013305. \n                        https:\/\/doi.org\/10.1016\/S0072-9752(08)01914-3\n                        \n                    .","journal-title":"Handbook of Clinical Neurology"},{"issue":"7","key":"9782_CR24","doi-asserted-by":"publisher","first-page":"2127","DOI":"10.1681\/ASN.2005010005","volume":"16","author":"M Kurella","year":"2005","unstructured":"Kurella, M., Chertow, G. M., Fried, L. F., Cummings, S. R., Harris, T., Simonsick, E., et al. (2005). Chronic kidney disease and cognitive impairment in the elderly: the health, aging, and body composition study. Journal of the American Society of Nephrology, 16(7), 2127\u20132133. \n                        https:\/\/doi.org\/10.1681\/ASN.2005010005\n                        \n                    .","journal-title":"Journal of the American Society of Nephrology"},{"issue":"11","key":"9782_CR25","doi-asserted-by":"publisher","first-page":"1863","DOI":"10.1111\/j.1532-5415.2004.52508.x","volume":"52","author":"M Kurella","year":"2004","unstructured":"Kurella, M., Chertow, G. M., Luan, J., & Yaffe, K. (2004). Cognitive impairment in chronic kidney disease. Journal of the American Geriatrics Society, 52(11), 1863\u20131869. \n                        https:\/\/doi.org\/10.1111\/j.1532-5415.2004.52508.x\n                        \n                    .","journal-title":"Journal of the American Geriatrics Society"},{"issue":"2","key":"9782_CR26","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1046\/j.1523-1755.2002.00142.x","volume":"61","author":"Y Kuwabara","year":"2002","unstructured":"Kuwabara, Y., Sasaki, M., Hirakata, H., Koga, H., Nakagawa, M., Chen, T., et al. (2002). Cerebral blood flow and vasodilatory capacity in anemia secondary to chronic renal failure. Kidney International, 61(2), 564\u2013569. \n                        https:\/\/doi.org\/10.1046\/j.1523-1755.2002.00142.x\n                        \n                    .","journal-title":"Kidney International"},{"issue":"19","key":"9782_CR27","doi-asserted-by":"publisher","first-page":"198701","DOI":"10.1103\/PhysRevLett.87.198701","volume":"87","author":"V Latora","year":"2001","unstructured":"Latora, V., & Marchiori, M. (2001). Efficient behavior of small-world networks. Physical Review Letters, 87(19), 198701. \n                        https:\/\/doi.org\/10.1103\/PhysRevLett.87.198701\n                        \n                    .","journal-title":"Physical Review Letters"},{"issue":"2","key":"9782_CR28","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1007\/s11682-016-9533-6","volume":"11","author":"K Li","year":"2017","unstructured":"Li, K., Liu, L., Yin, Q., Dun, W., Xu, X., Liu, J., et al. (2017). Abnormal rich club organization and impaired correlation between structural and functional connectivity in migraine sufferers. Brain Imaging and Behavior, 11(2), 526\u2013540. \n                        https:\/\/doi.org\/10.1007\/s11682-016-9533-6\n                        \n                    .","journal-title":"Brain Imaging and Behavior"},{"issue":"1","key":"9782_CR29","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1016\/j.clinph.2015.06.022","volume":"127","author":"S Li","year":"2016","unstructured":"Li, S., Ma, X., Huang, R., Li, M., Tian, J., Wen, H., et al. (2016). Abnormal degree centrality in neurologically asymptomatic patients with end-stage renal disease: a resting-state fMRI study. Clinical Neurophysiology, 127(1), 602\u2013609. \n                        https:\/\/doi.org\/10.1016\/j.clinph.2015.06.022\n                        \n                    .","journal-title":"Clinical Neurophysiology"},{"issue":"1","key":"9782_CR30","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.neulet.2009.05.038","volume":"460","author":"J Liu","year":"2009","unstructured":"Liu, J., Liang, J., Qin, W., Tian, J., Yuan, K., Bai, L., et al. (2009). Dysfunctional connectivity patterns in chronic heroin users: an fMRI study. Neuroscience Letters, 460(1), 72\u201377. \n                        https:\/\/doi.org\/10.1016\/j.neulet.2009.05.038\n                        \n                    .","journal-title":"Neuroscience Letters"},{"issue":"11","key":"9782_CR31","doi-asserted-by":"publisher","first-page":"e27049","DOI":"10.1371\/journal.pone.0027049","volume":"6","author":"J Liu","year":"2011","unstructured":"Liu, J., Qin, W., Nan, J., Li, J., Yuan, K., Zhao, L., et al. (2011). Gender-related differences in the dysfunctional resting networks of migraine suffers. PLoS One, 6(11), e27049. \n                        https:\/\/doi.org\/10.1371\/journal.pone.0027049\n                        \n                    .","journal-title":"PLoS One"},{"issue":"5","key":"9782_CR32","doi-asserted-by":"publisher","first-page":"1892","DOI":"10.1002\/hbm.22744","volume":"36","author":"J Liu","year":"2015","unstructured":"Liu, J., Zhao, L., Lei, F., Zhang, Y., Yuan, K., Gong, Q., et al. (2015). Disrupted resting-state functional connectivity and its changing trend in migraine suffers. Human Brain Mapping, 36(5), 1892\u20131907. \n                        https:\/\/doi.org\/10.1002\/hbm.22744\n                        \n                    .","journal-title":"Human Brain Mapping"},{"issue":"12","key":"9782_CR33","doi-asserted-by":"publisher","first-page":"e51250","DOI":"10.1371\/journal.pone.0051250","volume":"7","author":"J Liu","year":"2012","unstructured":"Liu, J., Zhao, L., Li, G., Xiong, S., Nan, J., Li, J., et al. (2012). Hierarchical alteration of brain structural and functional networks in female migraine sufferers. PLoS One, 7(12), e51250. \n                        https:\/\/doi.org\/10.1371\/journal.pone.0051250\n                        \n                    .","journal-title":"PLoS One"},{"issue":"12","key":"9782_CR34","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1038\/nrneph.2015.131","volume":"11","author":"R Lu","year":"2015","unstructured":"Lu, R., Kiernan, M. C., Murray, A., Rosner, M. H., & Ronco, C. (2015). Kidney-brain crosstalk in the acute and chronic setting. Nature Reviews Nephrology, 11(12), 707\u2013719. \n                        https:\/\/doi.org\/10.1038\/nrneph.2015.131\n                        \n                    .","journal-title":"Nature Reviews Nephrology"},{"issue":"1","key":"9782_CR35","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1148\/radiol.2015141913","volume":"278","author":"S Luo","year":"2016","unstructured":"Luo, S., Qi, R. F., Wen, J. Q., Zhong, J. H., Kong, X., Liang, X., et al. (2016). Abnormal intrinsic brain activity patterns in patients with end-stage renal disease undergoing peritoneal dialysis: a resting-state functional MR imaging study. Radiology, 278(1), 181\u2013189. \n                        https:\/\/doi.org\/10.1148\/radiol.2015141913\n                        \n                    .","journal-title":"Radiology"},{"issue":"3","key":"9782_CR36","doi-asserted-by":"publisher","first-page":"e0121085","DOI":"10.1371\/journal.pone.0121085","volume":"10","author":"X Ma","year":"2015","unstructured":"Ma, X., Jiang, G., Li, S., Wang, J., Zhan, W., Zeng, S., et al. (2015). Aberrant functional connectome in neurologically asymptomatic patients with end-stage renal disease. PLoS One, 10(3), e0121085. \n                        https:\/\/doi.org\/10.1371\/journal.pone.0121085\n                        \n                    .","journal-title":"PLoS One"},{"issue":"10","key":"9782_CR37","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/j.tics.2011.08.003","volume":"15","author":"V Menon","year":"2011","unstructured":"Menon, V. (2011). Large-scale brain networks and psychopathology: a unifying triple network model. Trends in Cognitive Sciences, 15(10), 483\u2013506. \n                        https:\/\/doi.org\/10.1016\/j.tics.2011.08.003\n                        \n                    .","journal-title":"Trends in Cognitive Sciences"},{"issue":"35","key":"9782_CR38","doi-asserted-by":"publisher","first-page":"10827","DOI":"10.1523\/JNEUROSCI.0963-09.2009","volume":"29","author":"DG Mitchell","year":"2009","unstructured":"Mitchell, D. G., Luo, Q., Avny, S. B., Kasprzycki, T., Gupta, K., Chen, G., et al. (2009). Adapting to dynamic stimulus-response values: differential contributions of inferior frontal, dorsomedial, and dorsolateral regions of prefrontal cortex to decision making. The Journal of Neuroscience, 29(35), 10827\u201310834. \n                        https:\/\/doi.org\/10.1523\/JNEUROSCI.0963-09.2009\n                        \n                    .","journal-title":"The Journal of Neuroscience"},{"issue":"6","key":"9782_CR39","doi-asserted-by":"publisher","first-page":"e65870","DOI":"10.1371\/journal.pone.0065870","volume":"8","author":"J Nan","year":"2013","unstructured":"Nan, J., Liu, J., Li, G., Xiong, S., Yan, X., Yin, Q., et al. (2013). Whole-brain functional connectivity identification of functional dyspepsia. PLoS One, 8(6), e65870. \n                        https:\/\/doi.org\/10.1371\/journal.pone.0065870\n                        \n                    .","journal-title":"PLoS One"},{"issue":"4","key":"9782_CR40","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.tics.2009.01.006","volume":"13","author":"L Pessoa","year":"2009","unstructured":"Pessoa, L. (2009). How do emotion and motivation direct executive control? Trends in Cognitive Science, 13(4), 160\u2013166. \n                        https:\/\/doi.org\/10.1016\/j.tics.2009.01.006\n                        \n                    .","journal-title":"Trends in Cognitive Science"},{"key":"9782_CR41","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1111\/j.1749-6632.2003.tb07070.x","volume":"985","author":"JL Price","year":"2003","unstructured":"Price, J. L. (2003). Comparative aspects of amygdala connectivity. Annals of the New York Academy of Sciences, 985, 50\u201358.","journal-title":"Annals of the New York Academy of Sciences"},{"issue":"4","key":"9782_CR42","first-page":"153","volume":"68","author":"J Radic","year":"2010","unstructured":"Radic, J., Ljutic, D., Radic, M., Kovacic, V., Sain, M., & Curkovic, K. D. (2010). The possible impact of dialysis modality on cognitive function in chronic dialysis patients. The Netherlands Journal of Medicine, 68(4), 153\u2013157.","journal-title":"The Netherlands Journal of Medicine"},{"issue":"4","key":"9782_CR43","doi-asserted-by":"publisher","first-page":"1497","DOI":"10.1016\/j.neuroimage.2010.01.028","volume":"50","author":"G Sanabria-Diaz","year":"2010","unstructured":"Sanabria-Diaz, G., Melie-Garcia, L., Iturria-Medina, Y., Aleman-Gomez, Y., Hernandez-Gonzalez, G., Valdes-Urrutia, L., et al. (2010). Surface area and cortical thickness descriptors reveal different attributes of the structural human brain networks. NeuroImage, 50(4), 1497\u20131510. \n                        https:\/\/doi.org\/10.1016\/j.neuroimage.2010.01.028\n                        \n                    .","journal-title":"NeuroImage"},{"key":"9782_CR44","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1016\/j.neuroimage.2012.08.052","volume":"64","author":"TD Satterthwaite","year":"2013","unstructured":"Satterthwaite, T. D., Elliott, M. A., Gerraty, R. T., Ruparel, K., Loughead, J., Calkins, M. E., et al. (2013). An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data. NeuroImage, 64, 240\u2013256. \n                        https:\/\/doi.org\/10.1016\/j.neuroimage.2012.08.052\n                        \n                    .","journal-title":"NeuroImage"},{"issue":"2","key":"9782_CR45","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.conb.2012.11.015","volume":"23","author":"O Sporns","year":"2013","unstructured":"Sporns, O. (2013). Network attributes for segregation and integration in the human brain. Current Opinion in Neurobiology, 23(2), 162\u2013171. \n                        https:\/\/doi.org\/10.1016\/j.conb.2012.11.015\n                        \n                    .","journal-title":"Current Opinion in Neurobiology"},{"key":"9782_CR46","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1146\/annurev-psych-122414-033634","volume":"67","author":"O Sporns","year":"2016","unstructured":"Sporns, O., & Betzel, R. F. (2016). Modular brain networks. Annual Review of Psychology, 67, 613\u2013640. \n                        https:\/\/doi.org\/10.1146\/annurev-psych-122414-033634\n                        \n                    .","journal-title":"Annual Review of Psychology"},{"key":"9782_CR47","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1186\/1471-2202-9-102","volume":"9","author":"D Swick","year":"2008","unstructured":"Swick, D., Ashley, V., & Turken, A. U. (2008). Left inferior frontal gyrus is critical for response inhibition. BMC Neuroscience, 9, 102. \n                        https:\/\/doi.org\/10.1186\/1471-2202-9-102\n                        \n                    .","journal-title":"BMC Neuroscience"},{"issue":"1","key":"9782_CR48","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1006\/nimg.2001.0978","volume":"15","author":"N Tzourio-Mazoyer","year":"2002","unstructured":"Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., et al. (2002). Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage, 15(1), 273\u2013289. \n                        https:\/\/doi.org\/10.1006\/nimg.2001.0978\n                        \n                    .","journal-title":"NeuroImage"},{"issue":"5","key":"9782_CR49","doi-asserted-by":"publisher","first-page":"1511","DOI":"10.1002\/hbm.20623","volume":"30","author":"J Wang","year":"2009","unstructured":"Wang, J., Wang, L., Zang, Y., Yang, H., Tang, H., Gong, Q., et al. (2009). Parcellation-dependent small-world brain functional networks: a resting-state fMRI study. Human Brain Mapping, 30(5), 1511\u20131523. \n                        https:\/\/doi.org\/10.1002\/hbm.20623\n                        \n                    .","journal-title":"Human Brain Mapping"},{"issue":"4","key":"9782_CR50","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1053\/j.ajkd.2003.12.031","volume":"43","author":"MA Williams","year":"2004","unstructured":"Williams, M. A., Sklar, A. H., Burright, R. G., & Donovick, P. J. (2004). Temporal effects of dialysis on cognitive functioning in patients with ESRD. American Journal of Kidney Diseases, 43(4), 705\u2013711.","journal-title":"American Journal of Kidney Diseases"},{"issue":"4","key":"9782_CR51","doi-asserted-by":"publisher","first-page":"1197","DOI":"10.1016\/j.neuroimage.2010.06.041","volume":"53","author":"A Zalesky","year":"2010","unstructured":"Zalesky, A., Fornito, A., & Bullmore, E. T. (2010). Network-based statistic: identifying differences in brain networks. NeuroImage, 53(4), 1197\u20131207. \n                        https:\/\/doi.org\/10.1016\/j.neuroimage.2010.06.041\n                        \n                    .","journal-title":"NeuroImage"},{"issue":"Pt 5","key":"9782_CR52","doi-asserted-by":"publisher","first-page":"1498","DOI":"10.1093\/brain\/aws059","volume":"135","author":"LL Zeng","year":"2012","unstructured":"Zeng, L. L., Shen, H., Liu, L., Wang, L., Li, B., Fang, P., et al. (2012). Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. Brain: a Journal of Neurology, 135(Pt 5), 1498\u20131507. \n                        https:\/\/doi.org\/10.1093\/brain\/aws059\n                        \n                    .","journal-title":"Brain: a Journal of Neurology"},{"issue":"2","key":"9782_CR53","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1148\/radiol.2015150004","volume":"278","author":"LJ Zhang","year":"2016","unstructured":"Zhang, L. J., Wen, J., Liang, X., Qi, R., Schoepf, U. J., Wichmann, J. L., et al. (2016). Brain default mode network changes after renal transplantation: a diffusion-tensor imaging and resting-state functional MR imaging study. Radiology, 278(2), 485\u2013495. \n                        https:\/\/doi.org\/10.1148\/radiol.2015150004\n                        \n                    .","journal-title":"Radiology"},{"issue":"3","key":"9782_CR54","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1007\/s11011-014-9568-6","volume":"29","author":"G Zheng","year":"2014","unstructured":"Zheng, G., Wen, J., Zhang, L., Zhong, J., Liang, X., Ke, W., et al. (2014). Altered brain functional connectivity in hemodialysis patients with end-stage renal disease: a resting-state functional MR imaging study. Metabolic Brain Disease, 29(3), 777\u2013786. \n                        https:\/\/doi.org\/10.1007\/s11011-014-9568-6\n                        \n                    .","journal-title":"Metabolic Brain Disease"}],"container-title":["Brain Imaging and Behavior"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11682-017-9782-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-017-9782-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-017-9782-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T23:31:42Z","timestamp":1532647902000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11682-017-9782-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,23]]},"references-count":54,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["9782"],"URL":"https:\/\/doi.org\/10.1007\/s11682-017-9782-z","relation":{},"ISSN":["1931-7557","1931-7565"],"issn-type":[{"value":"1931-7557","type":"print"},{"value":"1931-7565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,23]]}}}