{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T02:01:53Z","timestamp":1781143313542,"version":"3.54.1"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,9,22]],"date-time":"2022-09-22T00:00:00Z","timestamp":1663804800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,9,22]],"date-time":"2022-09-22T00:00:00Z","timestamp":1663804800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Key Technology Research and Development Program of China","award":["2018YFC2002300"],"award-info":[{"award-number":["2018YFC2002300"]}]},{"name":"the research fund from medical Sci-Tech innovation platform of Zhongnan Hospital, Wuhan University National","award":["PTXM2022020"],"award-info":[{"award-number":["PTXM2022020"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Imaging and Behavior"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s11682-022-00716-8","type":"journal-article","created":{"date-parts":[[2022,9,22]],"date-time":"2022-09-22T07:03:00Z","timestamp":1663830180000},"page":"2608-2617","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["The resting-state topological organization damage of language-related brain regions in post-stroke cognitive impairment"],"prefix":"10.1007","volume":"16","author":[{"given":"Sirui","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Rao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guofu","family":"Miao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junbin","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minhua","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoli","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haibo","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0474-5195","authenticated-orcid":false,"given":"Weijing","family":"Liao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,9,22]]},"reference":[{"issue":"2","key":"716_CR1","doi-asserted-by":"publisher","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 Computational Biology, 3(2), e17. https:\/\/doi.org\/10.1371\/journal.pcbi.0030017","journal-title":"PLoS Computational Biology"},{"key":"716_CR2","doi-asserted-by":"publisher","unstructured":"Bernhardt, J., Hayward, K. S., Kwakkel, G., Ward, N. S., Wolf, S. L., Borschmann, K., \u2026, Cramer, S. C. (2017). Agreed definitions and a shared vision for new standards in stroke recovery research: The Stroke Recovery and Rehabilitation Roundtable taskforce. International Journal of Stroke, 12(5), 444\u2013450. https:\/\/doi.org\/10.1177\/1747493017711816","DOI":"10.1177\/1747493017711816"},{"issue":"4","key":"716_CR3","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1002\/mrm.1910340409","volume":"34","author":"B Biswal","year":"1995","unstructured":"Biswal, B., Yetkin, F. Z., 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. https:\/\/doi.org\/10.1002\/mrm.1910340409","journal-title":"Magnetic Resonance in Medicine"},{"key":"716_CR4","doi-asserted-by":"publisher","unstructured":"Blaschke, S. J., Hensel, L., Minassian, A., Vlachakis, S., Tscherpel, C., Vay, S. U., \u2026, Rueger, M. A. (2021). Translating Functional Connectivity After Stroke: Functional Magnetic Resonance Imaging Detects Comparable Network Changes in Mice and Humans. Stroke, 52(9), 2948\u20132960. https:\/\/doi.org\/10.1161\/STROKEAHA.120.032511","DOI":"10.1161\/STROKEAHA.120.032511"},{"issue":"3","key":"716_CR5","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1038\/nrn2575","volume":"10","author":"E Bullmore","year":"2009","unstructured":"Bullmore, E., & Sporns, O. (2009). Complex brain networks: Graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186\u2013198. https:\/\/doi.org\/10.1038\/nrn2575","journal-title":"Nature Reviews Neuroscience"},{"issue":"5","key":"716_CR6","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1038\/nrn3214","volume":"13","author":"E Bullmore","year":"2012","unstructured":"Bullmore, E., & Sporns, O. (2012). The economy of brain network organization. Nature Reviews Neuroscience, 13(5), 336\u2013349. https:\/\/doi.org\/10.1038\/nrn3214","journal-title":"Nature Reviews Neuroscience"},{"key":"716_CR7","doi-asserted-by":"publisher","unstructured":"Chen, H., Sheng, X., Luo, C., Qin, R., Ye, Q., Zhao, H., \u2026, Bai, F. (2020). The compensatory phenomenon of the functional connectome related to pathological biomarkers in individuals with subjective cognitive decline. Transl Neurodegener, 9(1), 21. https:\/\/doi.org\/10.1186\/s40035-020-00201-6","DOI":"10.1186\/s40035-020-00201-6"},{"issue":"2","key":"716_CR8","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s12264-013-1421-0","volume":"30","author":"Z Dai","year":"2014","unstructured":"Dai, Z., & He, Y. (2014). Disrupted structural and functional brain connectomes in mild cognitive impairment and Alzheimer's disease. Neuroscience Bulletin, 30(2), 217\u2013232. https:\/\/doi.org\/10.1007\/s12264-013-1421-0","journal-title":"Neuroscience Bulletin"},{"key":"716_CR9","doi-asserted-by":"publisher","unstructured":"de Pasquale, F., Chiacchiaretta, P., Pavone, L., Sparano, A., Capotosto, P., Grillea, G., \u2026, Baldassarre, A. (2021). Brain Topological Reorganization Associated with Visual Neglect After Stroke. Brain Connect. https:\/\/doi.org\/10.1089\/brain.2020.0969","DOI":"10.1089\/brain.2020.0969"},{"issue":"6","key":"716_CR10","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1177\/1073858417702621","volume":"23","author":"J delEtoile","year":"2017","unstructured":"delEtoile, J., & Adeli, H. (2017). Graph theory and brain connectivity in Alzheimer's disease. The Neuroscientist, 23(6), 616\u2013626. https:\/\/doi.org\/10.1177\/1073858417702621","journal-title":"The Neuroscientist"},{"key":"716_CR11","doi-asserted-by":"publisher","unstructured":"Ding, X., Li, C. Y., Wang, Q. S., Du, F. Z., Ke, Z. W., Peng, F., \u2026, Chen, L. (2014). Patterns in default-mode network connectivity for determining outcomes in cognitive function in acute stroke patients. Neuroscience, 277, 637\u2013646. https:\/\/doi.org\/10.1016\/j.neuroscience.2014.07.060","DOI":"10.1016\/j.neuroscience.2014.07.060"},{"issue":"Pt 6","key":"716_CR12","doi-asserted-by":"publisher","first-page":"1696","DOI":"10.1093\/brain\/awv075","volume":"138","author":"ED Fagerholm","year":"2015","unstructured":"Fagerholm, E. D., Hellyer, P. J., Scott, G., Leech, R., & Sharp, D. J. (2015). Disconnection of network hubs and cognitive impairment after traumatic brain injury. Brain, 138(Pt 6), 1696\u20131709. https:\/\/doi.org\/10.1093\/brain\/awv075","journal-title":"Brain"},{"key":"716_CR13","doi-asserted-by":"publisher","first-page":"585","DOI":"10.3389\/fnins.2019.00585","volume":"13","author":"FV Farahani","year":"2019","unstructured":"Farahani, F. V., Karwowski, W., & Lighthall, N. R. (2019). Application of graph theory for identifying connectivity patterns in human brain networks: A systematic review. Frontiers in Neuroscience, 13, 585. https:\/\/doi.org\/10.3389\/fnins.2019.00585","journal-title":"Frontiers in Neuroscience"},{"issue":"2","key":"716_CR14","doi-asserted-by":"publisher","first-page":"175","DOI":"10.3758\/bf03193146","volume":"39","author":"F Faul","year":"2007","unstructured":"Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175\u2013191. https:\/\/doi.org\/10.3758\/bf03193146","journal-title":"Behavior Research Methods"},{"issue":"3","key":"716_CR15","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1002\/mrm.1910350312","volume":"35","author":"KJ Friston","year":"1996","unstructured":"Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S., & Turner, R. (1996). Movement-related effects in fMRI time-series. Magnetic Resonance in Medicine, 35(3), 346\u2013355. https:\/\/doi.org\/10.1002\/mrm.1910350312","journal-title":"Magnetic Resonance in Medicine"},{"issue":"7","key":"716_CR16","doi-asserted-by":"publisher","first-page":"379","DOI":"10.2176\/nmc.ra.2016-0014","volume":"56","author":"M Fujii","year":"2016","unstructured":"Fujii, M., Maesawa, S., Ishiai, S., Iwami, K., Futamura, M., & Saito, K. (2016). Neural basis of language: An overview of an evolving model. Neurologia Medico-Chirurgica (Tokyo), 56(7), 379\u2013386. https:\/\/doi.org\/10.2176\/nmc.ra.2016-0014","journal-title":"Neurologia Medico-Chirurgica (Tokyo)"},{"issue":"3","key":"716_CR17","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.pneurobio.2008.09.004","volume":"86","author":"JA Grahn","year":"2008","unstructured":"Grahn, J. A., Parkinson, J. A., & Owen, A. M. (2008). The cognitive functions of the caudate nucleus. Progress in Neurobiology, 86(3), 141\u2013155. https:\/\/doi.org\/10.1016\/j.pneurobio.2008.09.004","journal-title":"Progress in Neurobiology"},{"issue":"2","key":"716_CR18","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/s10548-018-0681-4","volume":"32","author":"J Guo","year":"2019","unstructured":"Guo, J., Yang, M., Biswal, B. B., Yang, P., Liao, W., & Chen, H. (2019). Abnormal functional connectivity density in post-stroke aphasia. Brain Topography, 32(2), 271\u2013282. https:\/\/doi.org\/10.1007\/s10548-018-0681-4","journal-title":"Brain Topography"},{"key":"716_CR19","doi-asserted-by":"publisher","unstructured":"Haber, S. N. (2016). Corticostriatal circuitry. Dialogues Clin Neurosci, 18(1), 7\u201321. https:\/\/doi.org\/10.31887\/DCNS.2016.18.1\/shaber","DOI":"10.31887\/DCNS.2016.18.1\/shaber"},{"key":"716_CR20","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.neuroimage.2017.11.056","volume":"190","author":"G Hartwigsen","year":"2019","unstructured":"Hartwigsen, G., & Saur, D. (2019). Neuroimaging of stroke recovery from aphasia - Insights into plasticity of the human language network. NeuroImage, 190, 14\u201331. https:\/\/doi.org\/10.1016\/j.neuroimage.2017.11.056","journal-title":"NeuroImage"},{"issue":"8","key":"716_CR21","doi-asserted-by":"publisher","first-page":"638","DOI":"10.1016\/j.biopsych.2017.10.030","volume":"83","author":"J Hiser","year":"2018","unstructured":"Hiser, J., & Koenigs, M. (2018). The multifaceted role of the ventromedial prefrontal cortex in emotion, decision making, social cognition, and psychopathology. Biological Psychiatry, 83(8), 638\u2013647. https:\/\/doi.org\/10.1016\/j.biopsych.2017.10.030","journal-title":"Biological Psychiatry"},{"issue":"6","key":"716_CR22","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1016\/j.tins.2021.01.006","volume":"44","author":"GF Humphreys","year":"2021","unstructured":"Humphreys, G. F., Lambon Ralph, M. A., & Simons, J. S. (2021). A unifying account of angular gyrus contributions to episodic and semantic cognition. Trends in Neurosciences, 44(6), 452\u2013463. https:\/\/doi.org\/10.1016\/j.tins.2021.01.006","journal-title":"Trends in Neurosciences"},{"issue":"4","key":"716_CR23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0002051","volume":"3","author":"MD Humphries","year":"2008","unstructured":"Humphries, M. D., & Gurney, K. (2008). Network 'small-world-ness': A quantitative method for determining canonical network equivalence. PLoS One, 3(4), e0002051. https:\/\/doi.org\/10.1371\/journal.pone.0002051","journal-title":"PLoS One"},{"issue":"25","key":"716_CR24","doi-asserted-by":"publisher","first-page":"3326","DOI":"10.1016\/j.jacc.2019.04.034","volume":"73","author":"C Iadecola","year":"2019","unstructured":"Iadecola, C., Duering, M., Hachinski, V., Joutel, A., Pendlebury, S. T., Schneider, J. A., & Dichgans, M. (2019). Vascular cognitive impairment and dementia: JACC scientific expert panel. Journal of the American College of Cardiology, 73(25), 3326\u20133344. https:\/\/doi.org\/10.1016\/j.jacc.2019.04.034","journal-title":"Journal of the American College of Cardiology"},{"issue":"2","key":"716_CR25","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aaaa76","volume":"15","author":"A Kabbara","year":"2018","unstructured":"Kabbara, A., Eid, H., El Falou, W., Khalil, M., Wendling, F., & Hassan, M. (2018). Reduced integration and improved segregation of functional brain networks in Alzheimer's disease. Journal of Neural Engineering, 15(2), 026023. https:\/\/doi.org\/10.1088\/1741-2552\/aaaa76","journal-title":"Journal of Neural Engineering"},{"issue":"Pt 12","key":"716_CR26","doi-asserted-by":"publisher","first-page":"3401","DOI":"10.1093\/brain\/awp273","volume":"132","author":"AP Leff","year":"2009","unstructured":"Leff, A. P., Schofield, T. M., Crinion, J. T., Seghier, M. L., Grogan, A., Green, D. W., & Price, C. J. (2009). The left superior temporal gyrus is a shared substrate for auditory short-term memory and speech comprehension: Evidence from 210 patients with stroke. Brain, 132(Pt 12), 3401\u20133410. https:\/\/doi.org\/10.1093\/brain\/awp273","journal-title":"Brain"},{"issue":"11","key":"716_CR27","doi-asserted-by":"publisher","first-page":"1434","DOI":"10.1038\/nn.4661","volume":"20","author":"J Lisman","year":"2017","unstructured":"Lisman, J., Buzsaki, G., Eichenbaum, H., Nadel, L., Ranganath, C., & Redish, A. D. (2017). Viewpoints: How the hippocampus contributes to memory, navigation and cognition. Nature Neuroscience, 20(11), 1434\u20131447. https:\/\/doi.org\/10.1038\/nn.4661","journal-title":"Nature Neuroscience"},{"key":"716_CR28","doi-asserted-by":"publisher","unstructured":"Miao, G., Rao, B., Wang, S., Fang, P., Chen, Z., Chen, L., \u2026, Liao, W. (2021). Decreased functional connectivities of low-degree level rich club organization and caudate in post-stroke cognitive impairment based on resting-state fMRI and radiomics features. Frontiers in Neuroscience, 15, 796530. https:\/\/doi.org\/10.3389\/fnins.2021.796530","DOI":"10.3389\/fnins.2021.796530"},{"key":"716_CR29","doi-asserted-by":"publisher","unstructured":"Mijajlovic, M. D., Pavlovic, A., Brainin, M., Heiss, W. D., Quinn, T. J., Ihle-Hansen, H. B., \u2026, Bornstein, N. M. (2017). Post-stroke dementia - a comprehensive review. BMC Medicine, 15(1), 11. https:\/\/doi.org\/10.1186\/s12916-017-0779-7","DOI":"10.1186\/s12916-017-0779-7"},{"key":"716_CR30","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1146\/annurev-neuro-071013-014030","volume":"38","author":"ME Raichle","year":"2015","unstructured":"Raichle, M. E. (2015). The brain's default mode network. Annual Review of Neuroscience, 38, 433\u2013447. https:\/\/doi.org\/10.1146\/annurev-neuro-071013-014030","journal-title":"Annual Review of Neuroscience"},{"issue":"1","key":"716_CR31","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1177\/1073858412440596","volume":"19","author":"ML Seghier","year":"2013","unstructured":"Seghier, M. L. (2013). The angular gyrus: Multiple functions and multiple subdivisions. The Neuroscientist, 19(1), 43\u201361. https:\/\/doi.org\/10.1177\/1073858412440596","journal-title":"The Neuroscientist"},{"issue":"1","key":"716_CR32","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1007\/s11682-020-00353-z","volume":"15","author":"M Shi","year":"2021","unstructured":"Shi, M., Liu, S., Chen, H., Geng, W., Yin, X., Chen, Y. C., & Wang, L. (2021). Disrupted brain functional network topology in unilateral acute brainstem ischemic stroke. Brain Imaging and Behavior, 15(1), 444\u2013452. https:\/\/doi.org\/10.1007\/s11682-020-00353-z","journal-title":"Brain Imaging and Behavior"},{"key":"716_CR33","doi-asserted-by":"publisher","unstructured":"Siegel, J. S., Seitzman, B. A., Ramsey, L. E., Ortega, M., Gordon, E. M., Dosenbach, N. U. F., \u2026, Corbetta, M. (2018). Re-emergence of modular brain networks in stroke recovery. Cortex, 101, 44\u201359. https:\/\/doi.org\/10.1016\/j.cortex.2017.12.019","DOI":"10.1016\/j.cortex.2017.12.019"},{"key":"716_CR34","doi-asserted-by":"publisher","unstructured":"Sierpowska, J., Fernandez-Coello, A., Gomez-Andres, A., Camins, A., Castaner, S., Juncadella, M., \u2026, Rodriguez-Fornells, A. (2018). Involvement of the middle frontal gyrus in language switching as revealed by electrical stimulation mapping and functional magnetic resonance imaging in bilingual brain tumor patients. Cortex, 99, 78\u201392. https:\/\/doi.org\/10.1016\/j.cortex.2017.10.017","DOI":"10.1016\/j.cortex.2017.10.017"},{"key":"716_CR35","doi-asserted-by":"publisher","unstructured":"Sporns, O. (2018). Graph theory methods: applications in brain networks. Dialogues Clin Neurosci, 20(2), 111\u2013121. https:\/\/doi.org\/10.31887\/DCNS.2018.20.2\/osporns","DOI":"10.31887\/DCNS.2018.20.2\/osporns"},{"key":"716_CR36","doi-asserted-by":"publisher","unstructured":"Stebbins, G. T., Nyenhuis, D. L., Wang, C., Cox, J. L., Freels, S., Bangen, K., \u2026, Gorelick, P. B. (2008). Gray matter atrophy in patients with ischemic stroke with cognitive impairment. Stroke, 39(3), 785\u2013793. https:\/\/doi.org\/10.1161\/STROKEAHA.107.507392","DOI":"10.1161\/STROKEAHA.107.507392"},{"issue":"8","key":"716_CR37","doi-asserted-by":"publisher","first-page":"80","DOI":"10.3978\/j.issn.2305-5839.2014.08.05","volume":"2","author":"JH Sun","year":"2014","unstructured":"Sun, J. H., Tan, L., & Yu, J. T. (2014). Post-stroke cognitive impairment: Epidemiology, mechanisms and management. Ann Transl Med, 2(8), 80. https:\/\/doi.org\/10.3978\/j.issn.2305-5839.2014.08.05","journal-title":"Ann Transl Med"},{"issue":"1","key":"716_CR38","doi-asserted-by":"publisher","first-page":"51","DOI":"10.2174\/1570159X17666190726104139","volume":"18","author":"R Szelenberger","year":"2020","unstructured":"Szelenberger, R., Kostka, J., Saluk-Bijak, J., & Miller, E. (2020). Pharmacological interventions and rehabilitation approach for enhancing brain self-repair and stroke recovery. Current Neuropharmacology, 18(1), 51\u201364. https:\/\/doi.org\/10.2174\/1570159X17666190726104139","journal-title":"Current Neuropharmacology"},{"issue":"4","key":"716_CR39","doi-asserted-by":"publisher","first-page":"507","DOI":"10.3233\/RNN-150632","volume":"34","author":"A Thiel","year":"2016","unstructured":"Thiel, A., & Zumbansen, A. (2016). The pathophysiology of post-stroke aphasia: A network approach. Restorative Neurology and Neuroscience, 34(4), 507\u2013518. https:\/\/doi.org\/10.3233\/RNN-150632","journal-title":"Restorative Neurology and Neuroscience"},{"issue":"6","key":"716_CR40","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0066556","volume":"8","author":"AM Tuladhar","year":"2013","unstructured":"Tuladhar, A. M., Snaphaan, L., Shumskaya, E., Rijpkema, M., Fernandez, G., Norris, D. G., & de Leeuw, F. E. (2013). Default Mode Network Connectivity in Stroke Patients. PLoS One, 8(6), e66556. https:\/\/doi.org\/10.1371\/journal.pone.0066556","journal-title":"PLoS One"},{"key":"716_CR41","doi-asserted-by":"publisher","unstructured":"Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., \u2026, Joliot, M. (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. https:\/\/doi.org\/10.1006\/nimg.2001.0978","DOI":"10.1006\/nimg.2001.0978"},{"key":"716_CR42","doi-asserted-by":"publisher","unstructured":"Vecchio, F., Tomino, C., Miraglia, F., Iodice, F., Erra, C., Di Iorio, R., \u2026, Rossini, P. M. (2019). Cortical connectivity from EEG data in acute stroke: A study via graph theory as a potential biomarker for functional recovery. International Journal of Psychophysiology, 146, 133\u2013138. https:\/\/doi.org\/10.1016\/j.ijpsycho.2019.09.012","DOI":"10.1016\/j.ijpsycho.2019.09.012"},{"key":"716_CR43","doi-asserted-by":"publisher","first-page":"458","DOI":"10.3389\/fnhum.2015.00458","volume":"9","author":"J Wang","year":"2015","unstructured":"Wang, J., Wang, X., Xia, M., Liao, X., Evans, A., & He, Y. (2015). Corrigendum: GRETNA: A graph theoretical network analysis toolbox for imaging connectomics. Frontiers in Human Neuroscience, 9, 458. https:\/\/doi.org\/10.3389\/fnhum.2015.00458","journal-title":"Frontiers in Human Neuroscience"},{"key":"716_CR44","doi-asserted-by":"publisher","unstructured":"Wang, R., Liu, M., Cheng, X., Wu, Y., Hildebrandt, A., & Zhou, C. (2021). Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities.\u00a0Proceedings of the National Academy of Sciences of the United States of America, 118(23). https:\/\/doi.org\/10.1073\/pnas.2022288118","DOI":"10.1073\/pnas.2022288118"},{"issue":"6684","key":"716_CR45","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1038\/30918","volume":"393","author":"DJ Watts","year":"1998","unstructured":"Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of 'small-world' networks. Nature, 393(6684), 440\u2013442. https:\/\/doi.org\/10.1038\/30918","journal-title":"Nature"},{"key":"716_CR46","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1016\/j.neuroimage.2016.05.068","volume":"141","author":"AM Winkler","year":"2016","unstructured":"Winkler, A. M., Ridgway, G. R., Douaud, G., Nichols, T. E., & Smith, S. M. (2016). Faster permutation inference in brain imaging. NeuroImage, 141, 502\u2013516. https:\/\/doi.org\/10.1016\/j.neuroimage.2016.05.068","journal-title":"NeuroImage"},{"issue":"1","key":"716_CR47","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1523\/JNEUROSCI.0479-18.2018","volume":"39","author":"M Wolff","year":"2019","unstructured":"Wolff, M., & Vann, S. D. (2019). The cognitive thalamus as a gateway to mental representations. Journal of Neuroscience, 39(1), 3\u201314. https:\/\/doi.org\/10.1523\/JNEUROSCI.0479-18.2018","journal-title":"Journal of Neuroscience"},{"key":"716_CR48","doi-asserted-by":"publisher","unstructured":"Wright, L. M., De Marco, M., & Venneri, A. (2021). A graph theory approach to clarifying aging and disease related changes in cognitive networks. Frontiers in Aging Neuroscience, 13, 676618.\u00a0https:\/\/doi.org\/10.3389\/fnagi.2021.676618","DOI":"10.3389\/fnagi.2021.676618"},{"key":"716_CR49","doi-asserted-by":"publisher","unstructured":"Xi, Q., Zhao, X., Wang, P., Guo, Q., Jiang, H., Cao, X., \u2026, Yan, C. (2012). Spontaneous brain activity in mild cognitive impairment revealed by amplitude of low-frequency fluctuation analysis: A resting-state fMRI study. La Radiologia Medica, 117(5), 865\u2013871. https:\/\/doi.org\/10.1007\/s11547-011-0780-8","DOI":"10.1007\/s11547-011-0780-8"},{"issue":"30","key":"716_CR50","doi-asserted-by":"publisher","first-page":"2789","DOI":"10.3969\/j.issn.1673-5374.2013.30.001","volume":"8","author":"J Xiang","year":"2013","unstructured":"Xiang, J., Guo, H., Cao, R., Liang, H., & Chen, J. (2013). An abnormal resting-state functional brain network indicates progression towards Alzheimer's disease. Neural Regeneration Research, 8(30), 2789\u20132799. https:\/\/doi.org\/10.3969\/j.issn.1673-5374.2013.30.001","journal-title":"Neural Regeneration Research"},{"key":"716_CR51","doi-asserted-by":"publisher","unstructured":"Yao, G., Li, J., Liu, S., Wang, J., Cao, X., Li, X., \u2026, Xu, Y. (2020). Alterations of functional connectivity in stroke patients with basal ganglia damage and cognitive impairment. Frontiers in Neurology, 11, 980. https:\/\/doi.org\/10.3389\/fneur.2020.00980","DOI":"10.3389\/fneur.2020.00980"},{"issue":"11","key":"716_CR52","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1001006","volume":"6","author":"Z Yao","year":"2010","unstructured":"Yao, Z., Zhang, Y., Lin, L., Zhou, Y., Xu, C., Jiang, T., Neuroimaging, A. D., & I. (2010). Abnormal cortical networks in mild cognitive impairment and Alzheimer's disease. PLoS Computational Biology, 6(11), e1001006. https:\/\/doi.org\/10.1371\/journal.pcbi.1001006","journal-title":"PLoS Computational Biology"},{"key":"716_CR53","doi-asserted-by":"publisher","unstructured":"Yin, M., Liu, Y., Zhang, L., Zheng, H., Peng, L., Ai, Y., \u2026, Hu, X. (2020). Effects of rTMS treatment on cognitive impairment and resting-state brain activity in stroke patients: A randomized clinical trial.\u00a0Frontiers in Neural Circuits, 14, 563777. https:\/\/doi.org\/10.3389\/fncir.2020.563777","DOI":"10.3389\/fncir.2020.563777"},{"key":"716_CR54","doi-asserted-by":"publisher","unstructured":"Zhao, Y., Song, L., Ding, J., Lin, N., Wang, Q., Du, X., \u2026, Han, Z. (2017). Left anterior temporal lobe and bilateral anterior cingulate cortex are semantic hub regions: Evidence from behavior-nodal degree mapping in brain-damaged patients. Journal of Neuroscience, 37(1), 141\u2013151. https:\/\/doi.org\/10.1523\/JNEUROSCI.1946-16.2016","DOI":"10.1523\/JNEUROSCI.1946-16.2016"},{"key":"716_CR55","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.neubiorev.2014.05.009","volume":"45","author":"XN Zuo","year":"2014","unstructured":"Zuo, X. N., & Xing, X. X. (2014). Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: A systems neuroscience perspective. Neuroscience and Biobehavioral Reviews, 45, 100\u2013118. https:\/\/doi.org\/10.1016\/j.neubiorev.2014.05.009","journal-title":"Neuroscience and Biobehavioral Reviews"}],"container-title":["Brain Imaging and Behavior"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-022-00716-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11682-022-00716-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-022-00716-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T05:31:48Z","timestamp":1669872708000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11682-022-00716-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,22]]},"references-count":55,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["716"],"URL":"https:\/\/doi.org\/10.1007\/s11682-022-00716-8","relation":{},"ISSN":["1931-7557","1931-7565"],"issn-type":[{"value":"1931-7557","type":"print"},{"value":"1931-7565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,22]]},"assertion":[{"value":"14 August 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 September 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The Medical Research Ethics Committee and Zhongnan Hospital's Institutional Review Board approved this study (2,019,012).\u00a0","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was obtained from all individual participates included in this study.\u00a0","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Not applicable.\u00a0","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to publication"}},{"value":"None of the authors have a conflict of interest to declare.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}