The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Graph Theoretical Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting-State Functional MRI Data
Open accessAbstract
Graph-based computational network analysis has proven a powerful tool to quantitatively characterize functional architectures of the brain. However, the test-retest (TRT) reliability of graph metrics of functional networks has not been systematically examined. Here, we investigated TRT reliability of topological metrics of functional brain networks derived from resting-state functional magnetic resonance imaging data. Specifically, we evaluated both short-term (<1 hour apart) and long-term (>5 months apart) TRT reliability for 12 global and 6 local nodal network metrics. We found that reliability of global network metrics was overall low, threshold-sensitive and dependent on several factors of scanning time interval (TI, long-term>short-term), network membership (NM, networks excluding negative correlations>networks including negative correlations) and network type (NT, binarized networks>weighted networks). The dependence was modulated by another factor of node definition (ND) strategy. The local nodal reliability exhibited large variability across nodal metrics and a spatially heterogeneous distribution. Nodal degree was the most reliable metric and varied the least across the factors above. Hub regions in association and limbic/paralimbic cortices showed moderate TRT reliability. Importantly, nodal reliability was robust to above-mentioned four factors. Simulation analysis revealed that global network metrics were extremely sensitive (but varying degrees) to noise in functional connectivity and weighted networks generated numerically more reliable results in compared with binarized networks. For nodal network metrics, they showed high resistance to noise in functional connectivity and no NT related differences were found in the resistance. These findings provide important implications on how to choose reliable analytical schemes and network metrics of interest.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Multiple studies have found evidence for limited test-retest reliability using a multitude of conventional rs-fcMRI network characteristics and analytic approaches (Braun et al., 2012; Wang et al., 2011; Wisner et al., 2013; Zuo et al., 2010; Zuo and Xing, 2014).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Wang et al., 2011
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Statistical principles in experimental design.
Winer, B. J. (1962) · McGraw-Hill Book Company · doi:10.1037/11774-000 · Cited by 27,137
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522
Complex networks: structure and dynamics
BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
Self-citationThe human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Statistical Principles in Experimental Design
Myers, J. L., & Winer, B. J. (1964) · The American Journal of Psychology · doi:10.2307/1419292 · Cited by 8,111
Network motifs: simple building blocks of complex networks.
Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., & Alon, U. (2002) · Science · doi:10.1126/science.298.5594.824 · Cited by 7,368
Flagged first, then by citations
Research works printed but not linked: 1
- R Salvador, 2005, Undirected graphs of frequency-dependent functional connectivity in whole brain networks., Phil Trans R Soc B 360, 937–946
Cited by
Sorted by citations
Items 301–400 of 417
Richards, T., Abbott, R. D., Yagle, K., Peterson, D., Raskind, W., & Berninger, V. (2017) · Journal of Systems and Integrative Neuroscience · doi:10.15761/jsin.1000173 · Cited by 7
Husain, F. T., Schmidt, S. A., Tai, Y., Granato, E. C., Ramos, P., Sherman, P. M., & Esquivel, C. R. (2019) · American Journal of Audiology · doi:10.1044/2019_aja-ttr17-18-0039 · Cited by 6
Zuo, X., & Xing, X.-X. (2011) · PLoS ONE · doi:10.1371/annotation/dd83fe6c-b41e-4c8a-8430-7f2e6ea6b5de · Cited by 6
Self-citationIyer, A., Stanford, W., Dayan, E., & Xavier, R. M. (2025) · Schizophrenia · doi:10.1038/s41537-025-00687-x · Cited by 5
Li, R., Gao, Y., Wang, W., Jiao, Z., Rao, B., Liu, G., & Li, H. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.869871 · Cited by 5
Are inter-subject functional correlations consistent across different movies?
Ye, M., Liu, J., Guan, Y., Ma, H., & Tian, L. (2022) · Brain Imaging and Behavior · doi:10.1007/s11682-022-00740-8 · Cited by 5
Altered controllability of functional brain networks in obsessive-compulsive disorder
Tian, Y. Q., Shi, W., Tao, Q., Yang, H., Guo, H., Wen, B., Liu, Z., Sun, J., Chen, H., Zhang, Y., et al. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.01.052 · Cited by 5
Li, J., Huang, M., Pan, F., Li, Z., Shen, Z., Jin, K., Zhao, H., Lu, S., Shang, D., Xu, Y., et al. (2021) · Brain Connectivity · doi:10.1089/brain.2021.0088 · Cited by 4
Self-citationTest–Retest Reliability of Synchrony and Metastability in Resting State fMRI
Yang, L., Wei, J., Li, Y., Wang, B., Guo, H., Yang, Y., & Xiang, J. (2021) · Brain Sciences · doi:10.3390/brainsci12010066 · Cited by 5
Frequency-Resolved Connectome Hubs and Their Test-Retest Reliability in the Resting Human Brain
Wang, L., Chen, X., Xu, Y., Cao, M., Liao, X., & Yong He, A. (2022) · Neuroscience Bulletin · doi:10.1007/s12264-021-00812-7 · Cited by 5
Hirsch, F., & Wohlschlaeger, A. M. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120417 · Cited by 6
Bijsterbosch, J. D., Farahibozorg, S.-R., Glasser, M. F., Essen, D. C. V., Snyder, L. H., Woolrich, M. W., & Smith, S. M. (2023) · Imaging Neuroscience · doi:10.1162/imag_a_00046 · Cited by 5
Variability of Resting‐State Functional MRI Graph Theory Metrics across 3T Platforms
Hu, R., Qiu, D., Guo, Y., Zhao, Y., Leatherday, C., Wu, J., & Allen, J. W. (2019) · Journal of Neuroimaging · doi:10.1111/jon.12603 · Cited by 5
Executive function and its relation to anatomical connectome in homosexual and heterosexual men
Wang, Z., Hu, J. B., Ji, G., Xu, D. R., Wang, D. D., Xi, C.-X., Hu, C. C., Lu, J., Du, Y. L., Lu, Q. Q., et al. (2020) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-19-821b · Cited by 4
Zeng, N., Aleman, A., Liao, C., Fang, H., Xu, P., & Luo, Y. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac267 · Cited by 5
Lin, L., Chang, Z., Zhang, Y., Xue, K., Xie, Y., Wei, L., Li, X., Zhao, Z., Luo, Y., Dong, H., et al. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120688 · Cited by 5
A novel method for functional brain networks based on static cerebral blood flow
Wu, C., He, Y. Q., Li, J., Qiu, X., Zou, Q., & Wang, J. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121069 · Cited by 5
Self-citationWang, J., Chen, J., Li, J., Wu, Q., Sun, J., Zhang, X., Xuan, L., Yang, C., Cao, L., & Wang, J. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.03.151 · Cited by 4
Self-citationFan, D., Wang, T., Zhao, H., Liu, C., Liu, C., Liu, T., & Wang, Y. (2025) · Journal of Integrative Neuroscience · doi:10.31083/jin36303 · Cited by 4
Shirzadi, S., Dadgostar, M., Hosseinzadeh, H., & Einalou, Z. (2025) · Cognitive Processing · doi:10.1007/s10339-025-01275-8 · Cited by 4
Aberrant degree centrality and functional connectivity in patients with internet gaming disorder
Yu, M., Li, Q., Mao, Y. W., He, Y., Liu, S., Lu, X., Liu, C., Lei, W., & Chen, G. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.07.002 · Cited by 4
Self-citationYang, X., Li, Q., Zhang, M., Liu, L., Li, G., Lin, W., & Wu, J. (2019) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2019.00067 · Cited by 4
Xue, J., Yao, R., Cui, X., Wang, B., Wei, J., Wu, X., Sun, J., Yang, Y., Xiang, J., & Liu, Y. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac339 · Cited by 4
Test-retest reliability of modular-relevant analysis in brain functional network
Wen, X., Yang, M., Hsu, L., & Zhang, D. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1000863 · Cited by 5
Chen, X., Xiao, M., Qin, J., Bian, Z., Qiu, J., Feng, T., He, Q., Lei, X., & Chen, H. (2022) · Psychophysiology · doi:10.1111/psyp.14072 · Cited by 4
The relationship between negative life events and cortical structural connectivity in adolescents
Sibilia, F., Jost-Mousseau, C., Banaschewski, T., Barker, G. J., Büchel, C., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P. A., et al. (2024) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2024.01.012 · Cited by 5
Hu, H., Coppola, P., Stamatakis, E. A., & Naçi, L. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf015 · Cited by 6
Saadat, N., Mayo, C. D., Lacey, C., & Gawryluk, J. R. (2021) · Neuroreport · doi:10.1097/wnr.0000000000001702 · Cited by 5
Menardi, A., Reineberg, A. E., Smith, L. L., Favaretto, C., Vallesi, A., Banich, M. T., & Santarnecchi, E. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02388-4 · Cited by 4
Altered structural-functional coupling in Parkinson’s diseasePreprint
Chen, Z., Li, G., Zhou, L., Zhang, L., & Liu, J. (2023) · medRxiv · doi:10.1101/2023.01.18.23284750 · Cited by 4
Chen, Z., Wu, B., Li, G., Zhou, L., Zhang, L., & Liu, J. (2023) · medRxiv · doi:10.1101/2023.07.17.23292760 · Cited by 4
Chappel-Farley, M. G., Adams, J. N., Betzel, R. F., Sattari, N. S., Berisha, D. E., Meza, N. J., Janecek, J. T., Niknazar, H., Kim, S., Dave, A., et al. (2025) · SLEEP · doi:10.1093/sleep/zsaf117 · Cited by 4
Ji, S., Yang, F., & Li, X. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1320830 · Cited by 3
Xu, S., Li, M., Yang, C., Fang, X., Ye, M., Wu, Y., Yang, B., Huang, W., Li, P., Ma, X., et al. (2022) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s367104 · Cited by 3
Zhang, F., Wang, C., Lan, X., Li, W., Fu, L., Ye, Y., Liu, H., Wu, K., Zhou, Y., & Ning, Y. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.956056 · Cited by 3
Protas, H. D., Ghisays, V., Goradia, D. D., Bauer, R., Devadas, V., Chen, K., Reiman, E. M., & Su, Y. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1089134 · Cited by 4
Wang, J., Fu, L., Lei, Q., & Zhuang, J.-Y. (2025) · Physiology & Behavior · doi:10.1016/j.physbeh.2025.114842 · Cited by 3
Self-citationGong, J., Liu, X., Sun, G., & Zhou, J. (2020) · Neural Computing and Applications · doi:10.1007/s00521-020-04816-8 · Cited by 3
Ma, J., Fan, X., Pan, N., Xu, X., Jin, Y., Guo, X., Jin, J., & Li, X. (2022) · Brain Research · doi:10.1016/j.brainres.2022.147801 · Cited by 3
Converging on consistent functional connectomicsPreprint
Luppi, A., Gellersen, H., Liu, Z.-Q., Peattie, A. R. D., Manktelow, A., Adapa, R., Owen, A., Naci, L., Menon, D. K., Dimitriadis, S., et al. (2023) · bioRxiv · doi:10.1101/2023.06.23.546329 · Cited by 2
Structural network topology correlates with cognitive impairment in Parkinson’s diseasePreprint
Chen, Z., Li, G., Zhou, L., Zhang, L., Li, Y., & Liu, J. (2023) · medRxiv · doi:10.1101/2023.09.18.23295719 · Cited by 3
Li, H., Wu, Q., Wang, J., Zhang, X., Song, H., & Wang, D. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-06427-2 · Cited by 2
Self-citationArpanahi, S. K., Hamidpour, S., & Jahromi, K. G. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102688 · Cited by 2
Spatially regularized machine learning for task and resting-state fMRI
Song, X., Panych, L. P., & Chen, N. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.10.001 · Cited by 3
Hemisphere lateralization of graph theoretical network in end-stage knee osteoarthritis patients
Kang, B., Ma, J., Shen, J., Zhao, C. G., Hua, X., Qiu, G., Xinyu, A., Xu, H., Xu, J., & Xiao, L. (2024) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2024.110976 · Cited by 2
Brain connectomes in youth at risk for serious mental illness: a longitudinal perspective
Shakeel, M. K., Metzak, P. D., Lasby, M., Long, X., de Souza, R. M., Bray, S., Goldstein, B. I., MacQUEEN, G. M., Wang, J., Kennedy, S. H., et al. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00953-z · Cited by 2
Self-citationBrain connectome from neuronal morphology
Jin, S., Li, J., & Wang, J. (2025) · Network Neuroscience · doi:10.1162/netn_a_00458 · Cited by 3
Self-citationSepulcre, J., Sabuncu, M., & Goñi, J. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00023-3 · Cited by 2
Schmidt, S. A., Shahsavarani, S., Khan, R. A., Tai, Y., Granato, E. C., Willson, C. M., Ramos, P., Sherman, P. M., Esquivel, C. R., Sutton, B. P., et al. (2023) · Neuroimage Reports · doi:10.1016/j.ynirp.2023.100158 · Cited by 3
Roy, A. (2023) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.1093/jrsssc/qlad033 · Cited by 2
Kordjazi, N., Koravand, A., & Sveistrup, H. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/166603 · Cited by 2
Tau pathology in early Alzheimer’s disease disrupts selective neurophysiological network dynamicsPreprint
Kocagöncü, E., Quinn, A. J., Firouzian, A., Cooper, E., Greve, A., Gunn, R. N., Green, G. G. R., Woolrich, M. W., Henson, R. N., Lovestone, S., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/524355 · Cited by 2
Rzucidlo, J. K., Roseman, P. L., Laurienti, P. J., & Dagenbach, D. (2013) · PsycEXTRA Dataset · doi:10.1037/e633262013-429 · Cited by 2
Chen, Z., Wu, B., Li, G., Zhou, L., Zhang, L., & Liu, J. (2023) · medRxiv · doi:10.1101/2023.07.20.23292985 · Cited by 2
Chen, Z., Li, G., Zhou, L., Zhang, L., & Liu, J. (2023) · medRxiv · doi:10.1101/2023.09.19.23295781 · Cited by 2
Brain connectome from neuronal morphologyPreprint
Wang, J., Jin, S., & Li, J. (2024) · Research Square · doi:10.21203/rs.3.rs-3913903/v1 · Cited by 2
Self-citationThe neural and psychological mechanisms of yoga and mindfulness meditation
Gard, T. (2015) · doi:10.26481/dis.20150320tg · Cited by 2
Fallahi, A., Nazem‐Zadeh, M., Hoseini-Tabatabaei, N., Habibabadi, J. M., Fesharaki, S. S. H., & Hamid Soltanian-zadeh, A. (2025) · American Journal of Neuroradiology · doi:10.3174/ajnr.a8737 · Cited by 1
Altered Brain‐Behavior Association During Resting State is a Potential Psychosis Risk Marker
Fazio, L., Stolfa, G., Passiatore, R., Tavella, A., Blasi, G., Buciuman, M.-O., Goldman, A. L., Haas, S. S., Kambeitz‐Ilankovic, L., Koutsouleris, N., et al. (2025) · Advanced Science · doi:10.1002/advs.202405700 · Cited by 1
Liu, Y., Sundman, M., Hinderaker, D., Chen, A. Y.-C., Green, J. M., Haaheim, L. G., Siu, H. M., Jezerc, C., Lai, K., Chen, C. C. L., et al. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1592678 · Cited by 1
Chen, Z., Tang, W., Shi, Y., Hu, S. H., Chen, B., Petersen, J. D., Huang, B., Liu, J., & You, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-30478-4 · Cited by 1
Amygdala clustering coefficients modulate the effect of neuroticism on the sensation of boredom
Ding, X., Liu, Y., Dai, F., Tang, R., & Tang, Y. (2026) · Brain Structure and Function · doi:10.1007/s00429-026-03092-x · Cited by 1
Pain-side-specific alteration of structural networks in trigeminal neuralgia: a connectome analysis
Guo, X., Zheng, Y., Zhao, L.-Q., Shang, H., & Yang, W. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1794457 · Cited by 1
Karpychev, V., Roth, R., Yun, W., Davis, K. A., Drane, D. L., Bagic, A. I., Dugan, P. C., Stein, J. M., Pardoe, H., Parashos, A., et al. (2026) · Neurology · doi:10.1212/wnl.0000000000218416 · Cited by 1
Yu, Y. W., Ye, H., Yan, H., Zhang, C., Li, W., Li, Z., Jing, H., Li, X., Liang, J., Xie, G., et al. (2024) · Brain Research · doi:10.1016/j.brainres.2024.148977 · Cited by 1
Fan, B., Zhou, X., Pang, L., Long, Q., Lv, C., & Zheng, J. (2024) · Biomedical Reports · doi:10.3892/br.2024.1792 · Cited by 1
Resting-state fMRI and population neuroscience: Progresses and guidelines for reliability research
Luo, W., Luo, C., Yan, Z., Wang, Y., & Zuo, X. (2024) · Chinese Science Bulletin (Chinese Version) · doi:10.1360/tb-2024-0204 · Cited by 1
Self-citationConnectional differences between humans and macaques in the MT+ complex
Ruan, J., Yuan, Y., Qiao, Y., Qiu, M., Dong, X., Cui, Y. J., Wang, J., & Liu, N. (2024) · iScience · doi:10.1016/j.isci.2024.111617 · Cited by 2
Self-citationWang, Y., Chen, Z., Cai, Z., Ao, W., Li, Q., Xu, M., & Zhou, S. (2025) · Brain and Behavior · doi:10.1002/brb3.70386 · Cited by 1
Disrupted topological organization of the motor execution network in Wilson's disease
Zhu, L., Yin, H., Wang, Y., Yang, W., Dong, T., Xu, L., Hou, Z., Shi, Q., Shen, Q., Lin, Z., et al. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.1029669 · Cited by 2
Fukushima, M., Betzel, R. F., He, Y., de Reus, M. A., van den Heuvel, M. P., Zuo, X., & Sporns, O. (2015) · arXiv (Cornell University) · Cited by 1
Self-citationAltered connectedness of the brain chronnectome during the progression of Alzheimer's diseasePreprint
Ghanbari, M., Zhou, Z., Hsu, L.-M., Han, Y., Sun, Y., Yap, P., Zhang, H., & Shen, D. G. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.08175 · Cited by 1
Effects of MAPT rs17649553 on Structural Network Integrity and Verbal Memory in Parkinson’s DiseasePreprint
Chen, Z., Wu, B., Li, G., Zhou, L., Zhang, L., & Liu, J. (2023) · medRxiv · doi:10.1101/2023.01.14.23284559 · Cited by 1
Chen, Z., Li, G., Zhou, L., Zhang, L., & Liu, J. (2023) · medRxiv · doi:10.1101/2023.09.21.23295938 · Cited by 1
Mining Dynamic Relationships From Spatio-temporal Datasets: An Application to Brain fMRI Data
Atluri, G. (2014) · University of Minnesota Digital Conservancy (University of Minnesota)
Developing multidimensional metrics for evaluating paediatric neurodevelopmental disorders
Nakubulwa, M. A. (2016) · Aston Publications Explorer (Aston University) · doi:10.48780/publications.aston.ac.uk.00028813
Li, L. (2017) · UTA ResearchCommons (University of Texas Arlington)
Thilaga, M., Ramasamy, V., Nadarajan, R., & Nandagopal, D. (2018) · Communications in computer and information science · doi:10.1007/978-981-13-0716-4_7
Dall’Acqua, P. (2018) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-165194
The cortical hubs related to recovery of consciousnessPreprint
Wu, H., Qi, Z., Zhang, J., Wu, C. W., Wu, X., Huang, Z., Zang, D., Fogel, S. M., Tanabe, S., Hudetz, A. G., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.25.441310
Roy, A. (2021) · arXiv (Cornell University)
Vedaei, F., Alizadeh, M., Romo, V. M., Mohamed, F. B., & Wu, C. (2021) · Research Square · doi:10.21203/rs.3.rs-992129/v1
Fan, B., Zhou, X., Long, Q., Li, X., Lv, C., & Zheng, J. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4071596
Age and Sex Differentially Affect Structural Networks in Parkinson's DiseasePreprint
Chen, Z., Wu, B., Li, G., Zhou, L., Zhang, L., & Liu, J. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3901768
Modeling the Neurocognitive Dynamics of Language across the LifespanPreprint
Guichet, C., Banjac, S., Achard, S., Mermillod, M., & Baciu, M. V. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.04.547510 · Cited by 1
Structural network topology mediated cognitive impairment in Parkinson’s diseasePreprint
Chen, Z., Li, G., Zhou, L., Zhang, L., Li, Y., & Liu, J. (2023) · medRxiv · doi:10.1101/2023.09.23.23295998
Chen, Z., Li, G., Zhou, L., Zhang, L., & Liu, J. (2023) · medRxiv · doi:10.1101/2023.09.25.23296076
Yu, Y. W., Ye, H., Yan, H., Zhang, C., Li, W., Li, Z., Liang, J., Li, X., Xie, G., Ou, Y., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3560135/v1
White matter structural changes before and after microvascular decompression for hemifacial spasm
Lv, K., Zhang, C., Liu, B., Yang, A., Luan, J., Hu, P., Yao, Z., Liu, J., & Ma, G. (2024) · Brain Structure and Function · doi:10.1007/s00429-023-02741-9
Test–retest reliability of meta analytic networks during naturalistic viewing
Kröll, J., Friedrich, P., Li, X., Nurislamova, Y., Kraljević, N., Geiger, A., Mans, J., Waite, L. K., Caspers, J., Qian, X., et al. (2026) · PLoS ONE · doi:10.1371/journal.pone.0346967
Self-Brain Networks in Toddlers with Autism Spectrum DisorderPreprint
Zuo, X., Zhang, G., Zhou, L., Nie, J., Wang, X., Han, J., Wu, H., Zhang, X., Yang, L., Liu, Y., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-4327650/v1
Self-citationKumar, C. B., Bhongade, A., Panigrahi, B. K., & Gandhi, T. K. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4835621
Functional MRI from a Big Data Perspective
Xia, M., & Yong He, A. (2025) · Neuromethods · doi:10.1007/978-1-0716-4438-6_31
Developmental changes in brain activation and functional connectivity during Chinese handwriting
Ren, H., Li, J., Lin, Z., Xu, Y., Bi, H.-Y., Xu, M., & Yang, Y. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121330
Guo, X., Xing, Y., Cui, D., Zhou, R., & Gao, L. (2025) · Brain Connectivity · doi:10.1089/brain.2024.0033
Test-retest reliability of edge-level resting-state functional connectivity in people with aphasia
Johnson, J. P., Dickey, M. W., Bohland, J. W., & Hula, W. D. (2025) · Neuroimage Reports · doi:10.1016/j.ynirp.2025.100296
Schulz, M., Malherbe, C., Cheng, B., Thomalla, G., & Schlemm, E. (2021) · Figshare · doi:10.6084/m9.figshare.14538908
Ma, J., Zheng, M., Wu, J.-J., Xing, X.-X., Xiang, Y., Wei, D., Xue, X., Zhang, H., Hua, X.-Y., Guo, Q.-H., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22620194
Brain resilience to targeted attack of resting BOLD networks as a measure of cognitive reserve
Argiris, G., Stern, Y., & Habeck, C. G. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.1065
Metadata
- Authors
- Wang, J.-H., Zuo, X.-N., Gohel, S., Milham, M. P., Biswal, B. B., & He, Y.
- Affiliations
- Chinese Academy of Sciences (CN)
- University of Medicine and Dentistry of New Jersey (US)
- NYU Langone Health (US)
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-07-19
- Volume
- 6
- Issue
- 7
- Pages
- e21976
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3139595
- OpenAlex
- W2020617938
- Cited by
- 416
- References
- 74
- Citations by year
- 2026: 21 · 2025: 24 · 2024: 29 · 2023: 35 · 2022: 30 · 2021: 33 · 2020: 27 · 2019: 19 · 2018: 27 · 2017: 36 · 2016: 19 · 2015: 40 · 2014: 27 · 2013: 25 · 2012: 19
- FWCI
- 12.50
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion, cc-by-nc-sa)
- Funders
- National Natural Science Foundation of China (30870667, 81030028)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- test-retest reliability, functional brain networks, resting-state functional connectivity, graph theory, hub regions, association cortex, noise sensitivity, network topology
- MeSH terms
- Adult, Brain, Computer Simulation, Female, Humans, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Rest, Statistics as Topic, Time Factors, Reproducibility of Results
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
