{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T02:04:14Z","timestamp":1784772254121,"version":"3.55.0"},"reference-count":84,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T00:00:00Z","timestamp":1728864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Chongqing Innovative Research Groups","award":["CXQT21005"],"award-info":[{"award-number":["CXQT21005"]}]},{"name":"Chongqing Innovative Research Groups","award":["SWU-XDJH202303"],"award-info":[{"award-number":["SWU-XDJH202303"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["CXQT21005"],"award-info":[{"award-number":["CXQT21005"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["SWU-XDJH202303"],"award-info":[{"award-number":["SWU-XDJH202303"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Existing studies have demonstrated significant sex differences in the neural mechanisms of daily life and neuropsychiatric disorders. The hierarchical organization of the functional brain network is a critical feature for assessing these neural mechanisms. But the sex differences in hierarchical organization have not been fully investigated. Here, we explore whether the hierarchical structure of the brain network differs between females and males using resting-state fMRI data. We measure the hierarchical entropy and the maximum modularity of each individual, and identify a significant negative correlation between the complexity of hierarchy and modularity in brain networks. At the mean level, females show higher modularity, whereas males exhibit a more complex hierarchy. At the consensus level, we use a co-classification matrix to perform a detailed investigation of the differences in the hierarchical organization between sexes and observe that the female group and the male group exhibit different interaction patterns of brain regions in the dorsal attention network (DAN) and visual network (VIN). Our findings suggest that the brains of females and males employ different network topologies to carry out brain functions. In addition, the negative correlation between hierarchy and modularity implies a need to balance the complexity in the hierarchical organization of the brain network, which sheds light on future studies of brain functions.<\/jats:p>","DOI":"10.3390\/e26100864","type":"journal-article","created":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T11:28:51Z","timestamp":1729078131000},"page":"864","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Sex Differences in Hierarchical and Modular Organization of Functional Brain Networks: Insights from Hierarchical Entropy and Modularity Analysis"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4299-8764","authenticated-orcid":false,"given":"Wenyu","family":"Chen","sequence":"first","affiliation":[{"name":"College of Computer and Information Science, Southwest University, Chongqing 400715, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9293-721X","authenticated-orcid":false,"given":"Ling","family":"Zhan","sequence":"additional","affiliation":[{"name":"College of Computer and Information Science, Southwest University, Chongqing 400715, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2337-2857","authenticated-orcid":false,"given":"Tao","family":"Jia","sequence":"additional","affiliation":[{"name":"College of Computer and Information Science, Southwest University, Chongqing 400715, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1016\/j.neubiorev.2010.07.002","article-title":"Sex bias in neuroscience and biomedical research","volume":"35","author":"Beery","year":"2011","journal-title":"Neurosci. Biobehav. Rev."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2423","DOI":"10.1111\/ejn.14880","article-title":"Sex matters in neuroscience and neuropsychopharmacology","volume":"52","author":"Pawluski","year":"2020","journal-title":"Eur. J. Neurosci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"e276","DOI":"10.1016\/S2468-2667(24)00072-0","article-title":"Time to implement sex and gender responsive policies and programmes","volume":"9","author":"Hawkes","year":"2024","journal-title":"Lancet Public Health"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1146\/annurev-clinpsy-032511-143109","article-title":"Emotion regulation and psychopathology: The role of gender","volume":"8","year":"2012","journal-title":"Annu. Rev. Clin. Psychol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2900","DOI":"10.1016\/j.neuropsychologia.2009.06.017","article-title":"Sex-related differences in neural activity during emotion regulation","volume":"47","author":"Mak","year":"2009","journal-title":"Neuropsychologia"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1037\/1528-3542.6.4.587","article-title":"Acceptability and suppression of negative emotion in anxiety and mood disorders","volume":"6","author":"Barlow","year":"2006","journal-title":"Emotion"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/S0191-8869(03)00083-7","article-title":"Cognitive emotion regulation strategies and depressive symptoms: Differences between males and females","volume":"36","author":"Garnefski","year":"2004","journal-title":"Pers. Indiv. Differ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1111\/j.1469-7610.2009.02175.x","article-title":"Emotion identification in girls at high risk for depression","volume":"51","author":"Joormann","year":"2010","journal-title":"J. Child Psychol. Psyc."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1857","DOI":"10.1007\/s00426-019-01197-z","article-title":"Subjective emotional arousal: An explorative study on the role of gender, age, intensity, emotion regulation difficulties, depression and anxiety symptoms, and meta-emotion","volume":"84","author":"Deckert","year":"2020","journal-title":"Psychol. Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1038\/s41398-022-02162-y","article-title":"Accelerated functional brain aging in major depressive disorder: Evidence from a large scale fMRI analysis of Chinese participants","volume":"12","author":"Luo","year":"2022","journal-title":"Transl. Psychiatry"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/B978-0-444-64123-6.00006-0","article-title":"Spatial skills","volume":"175","author":"Cimadevilla","year":"2020","journal-title":"Handb. Clin. Neurol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"5107","DOI":"10.1093\/cercor\/bhaa105","article-title":"Sex differences in functional connectivity of the salience, default mode, and central executive networks in youth with ASD","volume":"30","author":"Lawrence","year":"2020","journal-title":"Cereb. Cortex"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1186\/s11689-018-9254-9","article-title":"ADHD-related sex differences in fronto-subcortical intrinsic functional connectivity and associations with delay discounting","volume":"10","author":"Rosch","year":"2018","journal-title":"J. Neurodev. Disord."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1038\/35084005","article-title":"Neurophysiological investigation of the basis of the fMRI signal","volume":"412","author":"Logothetis","year":"2001","journal-title":"Nature"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1038\/nrn2575","article-title":"Complex brain networks: Graph theoretical analysis of structural and functional systems","volume":"10","author":"Bullmore","year":"2009","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1038\/nn.4502","article-title":"Network neuroscience","volume":"20","author":"Bassett","year":"2017","journal-title":"Nat. Neurosci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2383","DOI":"10.1093\/cercor\/bhu036","article-title":"Linked sex differences in cognition and functional connectivity in youth","volume":"25","author":"Satterthwaite","year":"2015","journal-title":"Cereb. Cortex"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1765","DOI":"10.1002\/hbm.23950","article-title":"Functional connectivity predicts gender: Evidence for gender differences in resting brain connectivity","volume":"39","author":"Zhang","year":"2018","journal-title":"Hum. Brain Mapp."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2959","DOI":"10.1093\/cercor\/bhy109","article-title":"Sex differences in the adult human brain: Evidence from 5216 UK biobank participants","volume":"28","author":"Ritchie","year":"2018","journal-title":"Cereb. Cortex"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1038\/nrn3214","article-title":"The economy of brain network organization","volume":"13","author":"Bullmore","year":"2012","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_21","unstructured":"Barab\u00e1si, A.L. (2016). Network Science, Cambridge University Press."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Bassett, D.S., Greenfield, D.L., Meyer-Lindenberg, A., Weinberger, D.R., Moore, S.W., and Bullmore, E.T. (2010). Efficient physical embedding of topologically complex information processing networks in brains and computer circuits. PLoS Comp. Biol., 6.","DOI":"10.1371\/journal.pcbi.1000748"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1146\/annurev-psych-122414-033634","article-title":"Modular brain networks","volume":"67","author":"Sporns","year":"2016","journal-title":"Annu. Rev. Psychol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.neuroimage.2016.11.006","article-title":"Multi-scale brain networks","volume":"160","author":"Betzel","year":"2017","journal-title":"NeuroImage"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/j.neuroimage.2014.07.067","article-title":"Changes in structural and functional connectivity among resting-state networks across the human lifespan","volume":"102","author":"Betzel","year":"2014","journal-title":"NeuroImage"},{"key":"ref_26","unstructured":"Betzel, R.F., Mi\u0161i\u0107, B., He, Y., Rumschlag, J., Zuo, X.N., and Sporns, O. (2015). Functional brain modules reconfigure at multiple scales across the human lifespan. arXiv."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"200","DOI":"10.3389\/fnins.2010.00200","article-title":"Modular and hierarchically modular organization of brain networks","volume":"4","author":"Meunier","year":"2010","journal-title":"Front. Neurosci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"571","DOI":"10.3389\/neuro.11.037.2009","article-title":"Hierarchical modularity in human brain functional networks","volume":"3","author":"Meunier","year":"2009","journal-title":"Front. Neuroinform."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"118607","DOI":"10.1016\/j.neuroimage.2021.118607","article-title":"Modularity maximization as a flexible and generic framework for brain network exploratory analysis","volume":"244","author":"Esfahlani","year":"2021","journal-title":"NeuroImage"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1073\/pnas.1316909110","article-title":"Sex differences in the structural connectome of the human brain","volume":"111","author":"Ingalhalikar","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1188","DOI":"10.1097\/j.pain.0000000000002104","article-title":"Sex differences in brain modular organization in chronic pain","volume":"162","author":"Fauchon","year":"2021","journal-title":"Pain"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"116756","DOI":"10.1016\/j.neuroimage.2020.116756","article-title":"Functional network reorganization in older adults: Graph-theoretical analyses of age, cognition and sex","volume":"214","author":"Stumme","year":"2020","journal-title":"NeuroImage"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"117680","DOI":"10.1016\/j.neuroimage.2020.117680","article-title":"Co-activation patterns across multiple tasks reveal robust anti-correlated functional networks","volume":"227","author":"Li","year":"2021","journal-title":"NeuroImage"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1111\/sjop.12422","article-title":"Principles of cross-network communication in human resting state fMRI","volume":"59","author":"Mitra","year":"2018","journal-title":"Scand. J. Psychol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"3267","DOI":"10.1093\/brain\/awu297","article-title":"Large-scale changes in network interactions as a physiological signature of spatial neglect","volume":"137","author":"Baldassarre","year":"2014","journal-title":"Brain"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.pscychresns.2018.12.013","article-title":"Resting-state anticorrelated networks in Schizophrenia","volume":"284","author":"Ramkiran","year":"2019","journal-title":"Psychiatry Res. Neuroimaging"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"9673","DOI":"10.1073\/pnas.0504136102","article-title":"The human brain is intrinsically organized into dynamic, anticorrelated functional networks","volume":"102","author":"Fox","year":"2005","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.neurobiolaging.2016.05.020","article-title":"Attenuated anticorrelation between the default and dorsal attention networks with aging: Evidence from task and rest","volume":"45","author":"Spreng","year":"2016","journal-title":"Neurobiol. Aging"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"744","DOI":"10.1038\/nn.3993","article-title":"Learning-induced autonomy of sensorimotor systems","volume":"18","author":"Bassett","year":"2015","journal-title":"Nat. Neurosci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"170017","DOI":"10.1038\/sdata.2017.17","article-title":"Longitudinal test-retest neuroimaging data from healthy young adults in southwest China","volume":"4","author":"Liu","year":"2017","journal-title":"Sci. Data"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1016\/j.neuron.2011.09.006","article-title":"Functional network organization of the human brain","volume":"72","author":"Power","year":"2011","journal-title":"Neuron"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/s12021-016-9299-4","article-title":"DPABI: Data processing & analysis for (resting-state) brain imaging","volume":"14","author":"Yan","year":"2016","journal-title":"Neuroinformatics"},{"key":"ref_43","unstructured":"(2024, October 13). Statistical Parametric Mapping. Available online: https:\/\/www.fil.ion.ucl.ac.uk\/spm\/."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"2142","DOI":"10.1016\/j.neuroimage.2011.10.018","article-title":"Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion","volume":"59","author":"Power","year":"2012","journal-title":"NeuroImage"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.neuroimage.2013.03.004","article-title":"A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics","volume":"76","author":"Yan","year":"2013","journal-title":"NeuroImage"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1016\/j.neuroimage.2012.12.066","article-title":"Estimating false positives and negatives in brain networks","volume":"70","year":"2013","journal-title":"NeuroImage"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"116443","DOI":"10.1016\/j.neuroimage.2019.116443","article-title":"The effect of network thresholding and weighting on structural brain networks in the UK Biobank","volume":"211","author":"Buchanan","year":"2020","journal-title":"NeuroImage"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"238103","DOI":"10.1103\/PhysRevLett.97.238103","article-title":"Hierarchical organization unveiled by functional connectivity in complex brain networks","volume":"97","author":"Zhou","year":"2006","journal-title":"Phys. Rev. Lett."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"12827","DOI":"10.1073\/pnas.1705120114","article-title":"Brain network dynamics are hierarchically organized in time","volume":"114","author":"Vidaurre","year":"2017","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"5856","DOI":"10.1073\/pnas.1111133109","article-title":"Hierarchical clustering of brain activity during human nonrapid eye movement sleep","volume":"109","author":"Boly","year":"2012","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Akiki, T.J., and Abdallah, C.G. (2019). Determining the hierarchical architecture of the human brain using subject-level clustering of functional networks. Sci. Rep., 9.","DOI":"10.1038\/s41598-019-55738-y"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"113138","DOI":"10.1063\/5.0069258","article-title":"Entropy and hierarchical clustering: Characterizing the morphology of the urban fabric in different spatial cultures","volume":"31","author":"Brigatti","year":"2021","journal-title":"Chaos"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Shumbayawonda, E., Ab\u00e1solo, D., L\u00f3pez-Sanz, D., Bru\u00f1a, R., Maestu, F., and Fern\u00e1ndez, A. (2019). Sex differences in the complexity of healthy older adults\u2019 magnetoencephalograms. Entropy, 21.","DOI":"10.3390\/e21080798"},{"key":"ref_54","first-page":"41","article-title":"Defining the entropy of hierarchical organizations","volume":"1","author":"Chappell","year":"2014","journal-title":"Complex. Gov. Netw."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"728","DOI":"10.1016\/j.cam.2011.06.007","article-title":"Hierarchical entropy analysis for biological signals","volume":"236","author":"Jiang","year":"2011","journal-title":"J. Comput. Appl. Math."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1016\/j.measurement.2013.09.019","article-title":"A roller bearing fault diagnosis method based on hierarchical entropy and support vector machine with particle swarm optimization algorithm","volume":"47","author":"Zhu","year":"2014","journal-title":"Measurement"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Wang, J., Cheng, F., and Chen, C. (2024). Optimization and Evaluation of Tourism Mascot Design Based on Analytic Hierarchy Process\u2014Entropy Weight Method. Entropy, 26.","DOI":"10.3390\/e26070585"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Blair, D.S., Miller, R.L., and Calhoun, V.D. (2024). A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in Schizophrenia. Entropy, 26.","DOI":"10.1101\/2024.04.23.590801"},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Kringelbach, M.L., Perl, Y.S., and Deco, G. (2024). The Thermodynamics of Mind. Trends. Cogn. Sci.","DOI":"10.1016\/j.tics.2024.03.009"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"8577","DOI":"10.1073\/pnas.0601602103","article-title":"Modularity and community structure in networks","volume":"103","author":"Newman","year":"2006","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"2068","DOI":"10.1016\/j.neuroimage.2011.03.069","article-title":"Weight-conserving characterization of complex functional brain networks","volume":"56","author":"Rubinov","year":"2011","journal-title":"NeuroImage"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"12788","DOI":"10.1073\/pnas.1204185109","article-title":"Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection","volume":"109","author":"Fornito","year":"2012","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Rubinov, M., Sporns, O., Thivierge, J.P., and Breakspear, M. (2011). Neurobiologically realistic determinants of self-organized criticality in networks of spiking neurons. PLoS Comp. Biol., 7.","DOI":"10.1371\/journal.pcbi.1002038"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1162\/qss_a_00101","article-title":"The rank boost by inconsistency in university rankings: Evidence from 14 rankings of Chinese universities","volume":"2","author":"Chen","year":"2021","journal-title":"Quant. Sci. Stud."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"12350","DOI":"10.1109\/TKDE.2023.3270311","article-title":"A comprehensive survey on multi-view clustering","volume":"35","author":"Fang","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref_66","first-page":"4471","article-title":"Scalable and effective conductance-based graph clustering","volume":"37","author":"Lin","year":"2023","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"ref_67","unstructured":"(1998, January 19\u201320). An interactive view for hierarchical clustering. Proceedings of the IEEE Symposium on Information Visualization (Cat. No. 98TB100258), Research Triangle, CA, USA."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"20190319","DOI":"10.1098\/rstb.2019.0319","article-title":"\u2018Hierarchy\u2019in the organization of brain networks","volume":"375","author":"Hilgetag","year":"2020","journal-title":"Philos. Trans. R. Soc. B"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"E6798","DOI":"10.1073\/pnas.1510619112","article-title":"The modular and integrative functional architecture of the human brain","volume":"112","author":"Bertolero","year":"2015","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"10240","DOI":"10.1073\/pnas.0701519104","article-title":"Network structure of cerebral cortex shapes functional connectivity on multiple time scales","volume":"104","author":"Honey","year":"2007","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Allen, E.A., Erhardt, E.B., Damaraju, E., Gruner, W., Segall, J.M., Silva, R.F., Havlicek, M., Rachakonda, S., Fries, J., and Kalyanam, R. (2011). A baseline for the multivariate comparison of resting-state networks. Front. Syst. Neurosci., 5.","DOI":"10.3389\/fnsys.2011.00002"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"4734","DOI":"10.1073\/pnas.0911855107","article-title":"Toward discovery science of human brain function","volume":"107","author":"Biswal","year":"2010","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1528","DOI":"10.1093\/cercor\/bhz184","article-title":"Sex differences in functional brain networks for language","volume":"30","author":"Xu","year":"2020","journal-title":"Cereb. Cortex"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1080\/00131911003637006","article-title":"Investigating gender differences in reading","volume":"62","author":"Logan","year":"2010","journal-title":"Educ. Rev."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"373","DOI":"10.31887\/DCNS.2016.18.4\/jmarrocco","article-title":"Sex in the brain: Hormones and sex differences","volume":"18","author":"Marrocco","year":"2016","journal-title":"Dialogues Clin. Neurosci."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1027\/1618-3169\/a000100","article-title":"Women\u2019s own-gender bias in face recognition memory","volume":"58","author":"Herlitz","year":"2011","journal-title":"Exp. Psychol."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1076\/jcen.26.1.24.23939","article-title":"Global-local visual biases correspond with visual-spatial orientation","volume":"26","author":"Basso","year":"2004","journal-title":"J. Clin. Exp. Neuropsychol."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1933","DOI":"10.3758\/s13423-019-01659-w","article-title":"Gender differences in spatial navigation: Characterizing wayfinding behaviors","volume":"26","author":"Munion","year":"2019","journal-title":"Psychon. Bull. Rev."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1177\/0956797612459660","article-title":"Gender differences in multitasking reflect spatial ability","volume":"24","year":"2013","journal-title":"Psychol. Sci."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"255","DOI":"10.3928\/00220124-20160518-06","article-title":"Simulation training in early emergency response (steer)","volume":"47","author":"Generoso","year":"2016","journal-title":"J. Contin. Educ. Nurs."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"McColgan, P., Blom, T., Rees, G., Seunarine, K.K., Gregory, S., Johnson, E., Durr, A., Roos, R.A., Scahill, R.I., and Clark, C.A. (2018). Stability and sensitivity of structural connectomes: Effect of thresholding and filtering and demonstration in neurodegeneration. bioRxiv.","DOI":"10.1101\/416826"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1162\/netn_a_00116","article-title":"Questions and controversies in the study of time-varying functional connectivity in resting fMRI","volume":"4","author":"Lurie","year":"2020","journal-title":"Netw. Neurosci."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"1850002","DOI":"10.1142\/S0129065718500028","article-title":"Principal states of dynamic functional connectivity reveal the link between resting-state and task-state brain: An fMRI study","volume":"28","author":"Cheng","year":"2018","journal-title":"Int. J. Neural Syst."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"eaaz1170","DOI":"10.1126\/sciadv.aaz1170","article-title":"10,000 social brains: Sex differentiation in human brain anatomy","volume":"6","author":"Kiesow","year":"2020","journal-title":"Sci. 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