{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T17:02:20Z","timestamp":1789837340880,"version":"4.0.1"},"reference-count":69,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T00:00:00Z","timestamp":1702339200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T00:00:00Z","timestamp":1702339200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Imaging and Behavior"],"DOI":"10.1007\/s11682-023-00835-w","type":"journal-article","created":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T17:02:21Z","timestamp":1702400541000},"page":"352-367","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Similarities and differences of dynamic and static spontaneous brain activity between left and right temporal lobe epilepsy"],"prefix":"10.1007","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6983-9857","authenticated-orcid":false,"given":"Chengru","family":"Song","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shanshan","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaonan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaoqiang","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yajun","family":"Lian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keran","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyue","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6996-329X","authenticated-orcid":false,"given":"Jingliang","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,12,12]]},"reference":[{"issue":"1","key":"835_CR1","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1002\/hbm.21432","volume":"34","author":"A Alessio","year":"2013","unstructured":"Alessio, A., Pereira, F. R., Sercheli, M. S., et al. (2013). Brain plasticity for verbal and visual memories in patients with mesial temporal lobe epilepsy and hippocampal sclerosis: An fMRI study. Human Brain Mapping, 34(1), 186\u2013199. https:\/\/doi.org\/10.1002\/hbm.21432","journal-title":"Human Brain Mapping"},{"key":"835_CR2","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.jns.2017.08.007","volume":"381","author":"C Allone","year":"2017","unstructured":"Allone, C., Lo Buono, V., Corallo, F., et al. (2017). Neuroimaging and cognitive functions in temporal lobe epilepsy: A review of the literature. Journal of the Neurological Sciences, 381, 7\u201315. https:\/\/doi.org\/10.1016\/j.jns.2017.08.007","journal-title":"Journal of the Neurological Sciences"},{"issue":"8","key":"835_CR3","doi-asserted-by":"publisher","first-page":"1354","DOI":"10.1111\/j.1528-1167.2006.00605.x","volume":"47","author":"D Ara\u00fajo","year":"2006","unstructured":"Ara\u00fajo, D., Santos, A. C., Velasco, T. R., et al. (2006). Volumetric evidence of bilateral damage in unilateral mesial temporal lobe epilepsy. Epilepsia, 47(8), 1354\u20131359. https:\/\/doi.org\/10.1111\/j.1528-1167.2006.00605.x","journal-title":"Epilepsia"},{"issue":"7","key":"835_CR4","doi-asserted-by":"publisher","first-page":"750","DOI":"10.1038\/nn1075","volume":"6","author":"TE Behrens","year":"2003","unstructured":"Behrens, T. E., Johansen-Berg, H., Woolrich, M. W., et al. (2003). Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging. Nature Neuroscience, 6(7), 750\u2013757. https:\/\/doi.org\/10.1038\/nn1075","journal-title":"Nature Neuroscience"},{"issue":"Pt 2","key":"835_CR5","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1093\/brain\/awg034","volume":"126","author":"N Bernasconi","year":"2003","unstructured":"Bernasconi, N., Bernasconi, A., Caramanos, Z., et al. (2003). Mesial temporal damage in temporal lobe epilepsy: A volumetric MRI study of the hippocampus, amygdala and parahippocampal region. Brain, 126(Pt 2), 462\u2013469. https:\/\/doi.org\/10.1093\/brain\/awg034","journal-title":"Brain"},{"key":"835_CR6","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.neuroimage.2014.04.071","volume":"100","author":"P Besson","year":"2014","unstructured":"Besson, P., Dinkelacker, V., Valabregue, R., et al. (2014). Structural connectivity differences in left and right temporal lobe epilepsy. NeuroImage, 100, 135\u2013144. https:\/\/doi.org\/10.1016\/j.neuroimage.2014.04.071","journal-title":"NeuroImage"},{"issue":"1","key":"835_CR7","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.eplepsyres.2008.04.020","volume":"81","author":"G Bettus","year":"2008","unstructured":"Bettus, G., Wendling, F., Guye, M., et al. (2008). Enhanced EEG functional connectivity in mesial temporal lobe epilepsy. Epilepsy Research, 81(1), 58\u201368. https:\/\/doi.org\/10.1016\/j.eplepsyres.2008.04.020","journal-title":"Epilepsy Research"},{"issue":"8","key":"835_CR8","doi-asserted-by":"publisher","first-page":"892","DOI":"10.1093\/cercor\/bhh048","volume":"14","author":"H Blumenfeld","year":"2004","unstructured":"Blumenfeld, H., McNally, K. A., Vanderhill, S. D., et al. (2004). Positive and negative network correlations in temporal lobe epilepsy. Cerebral Cortex, 14(8), 892\u2013902. https:\/\/doi.org\/10.1093\/cercor\/bhh048","journal-title":"Cerebral Cortex"},{"key":"835_CR9","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.eplepsyres.2017.09.001","volume":"137","author":"H Burianov\u00e1","year":"2017","unstructured":"Burianov\u00e1, H., Faizo, N. L., Gray, M., et al. (2017). Altered functional connectivity in mesial temporal lobe epilepsy. Epilepsy Research, 137, 45\u201352. https:\/\/doi.org\/10.1016\/j.eplepsyres.2017.09.001","journal-title":"Epilepsy Research"},{"key":"835_CR10","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1111\/j.1749-6632.2000.tb06717.x","volume":"911","author":"RD Burwell","year":"2000","unstructured":"Burwell, R. D. (2000). The parahippocampal region: Corticocortical connectivity. Annals of the New York Academy of Sciences, 911, 25\u201342. https:\/\/doi.org\/10.1111\/j.1749-6632.2000.tb06717.x","journal-title":"Annals of the New York Academy of Sciences"},{"issue":"12","key":"835_CR11","doi-asserted-by":"publisher","first-page":"2048","DOI":"10.1111\/epi.12400","volume":"54","author":"M Cataldi","year":"2013","unstructured":"Cataldi, M., Avoli, M., & de Villers-Sidani, E. (2013). Resting state networks in temporal lobe epilepsy. Epilepsia, 54(12), 2048\u20132059. https:\/\/doi.org\/10.1111\/epi.12400","journal-title":"Epilepsia"},{"issue":"5","key":"835_CR12","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1111\/epi.14736","volume":"60","author":"YA Chang","year":"2019","unstructured":"Chang, Y. A., Marshall, A., Bahrami, N., et al. (2019). Differential sensitivity of structural, diffusion, and resting-state functional MRI for detecting brain alterations and verbal memory impairment in temporal lobe epilepsy. Epilepsia, 60(5), 935\u2013947. https:\/\/doi.org\/10.1111\/epi.14736","journal-title":"Epilepsia"},{"key":"835_CR13","doi-asserted-by":"publisher","first-page":"13","DOI":"10.3389\/fnsys.2010.00013","volume":"4","author":"Y Chao-Gan","year":"2010","unstructured":"Chao-Gan, Y., & Yu-Feng, Z. (2010). DPARSF: A MATLAB toolbox for \u201cPipeline\u201d data analysis of resting-state fMRI. Frontiers in Systems Neuroscience, 4, 13. https:\/\/doi.org\/10.3389\/fnsys.2010.00013","journal-title":"Frontiers in Systems Neuroscience"},{"issue":"4","key":"835_CR14","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1016\/j.nic.2017.06.009","volume":"27","author":"JE Chen","year":"2017","unstructured":"Chen, J. E., Rubinov, M., & Chang, C. (2017). Methods and considerations for dynamic analysis of functional MR imaging data. Neuroimaging Clinics of North America, 27(4), 547\u2013560. https:\/\/doi.org\/10.1016\/j.nic.2017.06.009","journal-title":"Neuroimaging Clinics of North America"},{"issue":"10","key":"835_CR15","doi-asserted-by":"publisher","first-page":"1770","DOI":"10.1016\/j.eplepsyres.2014.09.023","volume":"108","author":"S Chiang","year":"2014","unstructured":"Chiang, S., Stern, J. M., Engel, J., Jr., et al. (2014). Differences in graph theory functional connectivity in left and right temporal lobe epilepsy. Epilepsy Research, 108(10), 1770\u20131781. https:\/\/doi.org\/10.1016\/j.eplepsyres.2014.09.023","journal-title":"Epilepsy Research"},{"issue":"11","key":"835_CR16","doi-asserted-by":"publisher","first-page":"718","DOI":"10.1038\/nrn.2016.113","volume":"17","author":"K Christoff","year":"2016","unstructured":"Christoff, K., Irving, Z. C., Fox, K. C., Spreng, R. N., & Andrews-Hanna, J. R. (2016). Mind-wandering as spontaneous thought: A dynamic framework. Nature Reviews Neuroscience, 17(11), 718\u2013731. https:\/\/doi.org\/10.1038\/nrn.2016.113","journal-title":"Nature Reviews Neuroscience"},{"issue":"2","key":"835_CR17","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1002\/ana.20334","volume":"57","author":"L Concha","year":"2005","unstructured":"Concha, L., Beaulieu, C., & Gross, D. W. (2005). Bilateral limbic diffusion abnormalities in unilateral temporal lobe epilepsy. Annals of Neurology, 57(2), 188\u2013196. https:\/\/doi.org\/10.1002\/ana.20334","journal-title":"Annals of Neurology"},{"issue":"6","key":"835_CR18","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1046\/j.1528-1157.2001.10401.x","volume":"42","author":"J Engel Jr","year":"2001","unstructured":"Engel, J., Jr., International League Against Epilepsy (ILAE). (2001). A proposed diagnostic scheme for people with epileptic seizures and with epilepsy: Report of the ILAE Task Force on Classification and Terminology. Epilepsia, 42(6), 796\u2013803. https:\/\/doi.org\/10.1046\/j.1528-1157.2001.10401.x","journal-title":"Epilepsia"},{"issue":"9","key":"835_CR19","doi-asserted-by":"publisher","first-page":"1618","DOI":"10.1111\/j.1528-1167.2012.03533.x","volume":"53","author":"F Fahoum","year":"2012","unstructured":"Fahoum, F., Lopes, R., Pittau, F., Dubeau, F., & Gotman, J. (2012). Widespread epileptic networks in focal epilepsies: EEG-fMRI study. Epilepsia, 53(9), 1618\u20131627. https:\/\/doi.org\/10.1111\/j.1528-1167.2012.03533.x","journal-title":"Epilepsia"},{"issue":"9","key":"835_CR20","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1038\/nrn2201","volume":"8","author":"MD Fox","year":"2007","unstructured":"Fox, M. D., & Raichle, M. E. (2007). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature Reviews Neuroscience, 8(9), 700\u2013711. https:\/\/doi.org\/10.1038\/nrn2201","journal-title":"Nature Reviews Neuroscience"},{"issue":"4","key":"835_CR21","doi-asserted-by":"publisher","first-page":"2039","DOI":"10.26355\/eurrev_202102_25108","volume":"25","author":"YJ Gao","year":"2021","unstructured":"Gao, Y. J., Wang, X., Xiong, P. G., et al. (2021). Abnormalities of the default-mode network homogeneity and executive dysfunction in people with first-episode, treatment-naive left temporal lobe epilepsy. European Review for Medical and Pharmacological Sciences, 25(4), 2039\u20132049. https:\/\/doi.org\/10.26355\/eurrev_202102_25108","journal-title":"European Review for Medical and Pharmacological Sciences"},{"key":"835_CR22","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.neuroimage.2016.02.007","volume":"132","author":"R Hindriks","year":"2016","unstructured":"Hindriks, R., Adhikari, M. H., Murayama, Y., et al. (2016). Corrigendum to \u201cCan sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?\u201d [NeuroImage 127 (2016) 242\u2013256]. NeuroImage, 132, 115. https:\/\/doi.org\/10.1016\/j.neuroimage.2016.02.007","journal-title":"NeuroImage"},{"issue":"3","key":"835_CR23","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1002\/hbm.22210","volume":"35","author":"M Holmes","year":"2014","unstructured":"Holmes, M., Folley, B. S., Sonmezturk, H. H., et al. (2014). Resting state functional connectivity of the hippocampus associated with neurocognitive function in left temporal lobe epilepsy. Human Brain Mapping, 35(3), 735\u2013744. https:\/\/doi.org\/10.1002\/hbm.22210","journal-title":"Human Brain Mapping"},{"issue":"4","key":"835_CR24","doi-asserted-by":"publisher","first-page":"1729","DOI":"10.1006\/nimg.2002.1330","volume":"17","author":"A Ishai","year":"2002","unstructured":"Ishai, A., Haxby, J. V., & Ungerleider, L. G. (2002). Visual imagery of famous faces: Effects of memory and attention revealed by fMRI. NeuroImage, 17(4), 1729\u20131741. https:\/\/doi.org\/10.1006\/nimg.2002.1330","journal-title":"NeuroImage"},{"issue":"1","key":"835_CR25","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/0014-4886(88)90125-2","volume":"99","author":"V La Grutta","year":"1988","unstructured":"La Grutta, V., & Sabatino, M. (1988). Focal hippocampal epilepsy: Effect of caudate stimulation. Experimental Neurology, 99(1), 38\u201349.","journal-title":"Experimental Neurology"},{"issue":"22","key":"835_CR26","doi-asserted-by":"publisher","first-page":"1503","DOI":"10.21037\/atm-20-6823","volume":"8","author":"X Liang","year":"2020","unstructured":"Liang, X., Pang, X., Liu, J., et al. (2020). Comparison of topological properties of functional brain networks with graph theory in temporal lobe epilepsy with different duration of disease. Annals of Translational Medicine, 8(22), 1503. https:\/\/doi.org\/10.21037\/atm-20-6823","journal-title":"Annals of Translational Medicine"},{"issue":"11","key":"835_CR27","doi-asserted-by":"publisher","first-page":"2523","DOI":"10.1109\/TMI.2019.2904555","volume":"38","author":"W Liao","year":"2019","unstructured":"Liao, W., Li, J., Ji, G. J., et al. (2019). Endless fluctuations: Temporal dynamics of the amplitude of low frequency fluctuations. IEEE Transactions on Medical Imaging, 38(11), 2523\u20132532. https:\/\/doi.org\/10.1109\/TMI.2019.2904555","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"10","key":"835_CR28","doi-asserted-by":"publisher","first-page":"780","DOI":"10.1089\/brain.2014.0253","volume":"4","author":"W Liao","year":"2014","unstructured":"Liao, W., Wu, G. R., Xu, Q., et al. (2014). DynamicBC: A MATLAB toolbox for dynamic brain connectome analysis. Brain Connect., 4(10), 780\u2013790. https:\/\/doi.org\/10.1089\/brain.2014.0253","journal-title":"Brain Connect."},{"issue":"6843","key":"835_CR29","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1038\/35084005","volume":"412","author":"NK Logothetis","year":"2001","unstructured":"Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001). Neurophysiological investigation of the basis of the fMRI signal. Nature, 412(6843), 150\u2013157. https:\/\/doi.org\/10.1038\/35084005","journal-title":"Nature"},{"key":"835_CR30","doi-asserted-by":"publisher","first-page":"127","DOI":"10.3389\/fneur.2014.00127","volume":"5","author":"M Maneshi","year":"2014","unstructured":"Maneshi, M., Vahdat, S., Fahoum, F., Grova, C., & Gotman, J. (2014). Specific resting-state brain networks in mesial temporal lobe epilepsy. Frontiers in Neurology, 5, 127. https:\/\/doi.org\/10.3389\/fneur.2014.00127","journal-title":"Frontiers in Neurology"},{"issue":"1","key":"835_CR31","doi-asserted-by":"publisher","first-page":"1545","DOI":"10.1038\/s41598-021-81207-6","volume":"11","author":"Y Nakai","year":"2021","unstructured":"Nakai, Y., Nishibayashi, H., Donishi, T., et al. (2021). Regional abnormality of functional connectivity is associated with clinical manifestations in individuals with intractable focal epilepsy. Scientific Reports, 11(1), 1545. https:\/\/doi.org\/10.1038\/s41598-021-81207-6","journal-title":"Scientific Reports"},{"issue":"Pt 7","key":"835_CR32","doi-asserted-by":"publisher","first-page":"1718","DOI":"10.1093\/brain\/awm052","volume":"130","author":"IR Olson","year":"2007","unstructured":"Olson, I. R., Plotzker, A., & Ezzyat, Y. (2007). The Enigmatic temporal pole: A review of findings on social and emotional processing. Brain, 130(Pt 7), 1718\u20131731. https:\/\/doi.org\/10.1093\/brain\/awm052","journal-title":"Brain"},{"key":"835_CR33","doi-asserted-by":"publisher","first-page":"820641","DOI":"10.3389\/fnins.2021.820641","volume":"15","author":"X Pang","year":"2022","unstructured":"Pang, X., Liang, X., Zhao, J., et al. (2022). Abnormal static and dynamic functional connectivity in left and right temporal lobe epilepsy. Frontiers in Neuroscience, 15, 820641. https:\/\/doi.org\/10.3389\/fnins.2021.820641","journal-title":"Frontiers in Neuroscience"},{"issue":"Pt B","key":"835_CR34","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1016\/j.neuroimage.2017.11.033","volume":"180","author":"HJ Park","year":"2018","unstructured":"Park, H. J., Friston, K. J., Pae, C., et al. (2018). Dynamic effective connectivity in resting state fMRI. NeuroImage, 180(Pt B), 594\u2013608. https:\/\/doi.org\/10.1016\/j.neuroimage.2017.11.033","journal-title":"NeuroImage"},{"issue":"3","key":"835_CR35","doi-asserted-by":"publisher","first-page":"2142","DOI":"10.1016\/j.neuroimage.2011.10.018","volume":"59","author":"JD Power","year":"2012","unstructured":"Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage, 59(3), 2142\u20132154. https:\/\/doi.org\/10.1016\/j.neuroimage.2011.10.018","journal-title":"NeuroImage"},{"key":"835_CR36","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1016\/j.neuroimage.2016.09.038","volume":"146","author":"JD Power","year":"2017","unstructured":"Power, J. D., Plitt, M., Laumann, T. O., et al. (2017). Sources and implications of whole-brain fMRI signals in humans. NeuroImage, 146, 609\u2013625. https:\/\/doi.org\/10.1016\/j.neuroimage.2016.09.038","journal-title":"NeuroImage"},{"key":"835_CR37","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.neuroimage.2016.12.061","volume":"160","author":"MG Preti","year":"2017","unstructured":"Preti, M. G., Bolton, T. A., & Van De Ville, D. (2017). The dynamic functional connectome: State-of-the-art and perspectives. NeuroImage, 160, 41\u201354. https:\/\/doi.org\/10.1016\/j.neuroimage.2016.12.061","journal-title":"NeuroImage"},{"issue":"4","key":"835_CR38","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.tics.2010.01.008","volume":"14","author":"ME Raichle","year":"2010","unstructured":"Raichle, M. E. (2010). Two views of brain function. Trends in Cognitive Sciences, 14(4), 180\u2013190. https:\/\/doi.org\/10.1016\/j.tics.2010.01.008","journal-title":"Trends in Cognitive Sciences"},{"issue":"1668","key":"835_CR39","doi-asserted-by":"publisher","first-page":"20140172","DOI":"10.1098\/rstb.2014.0172","volume":"370","author":"ME Raichle","year":"2015","unstructured":"Raichle, M. E. (2015). The restless brain: How intrinsic activity organizes brain function. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 370(1668), 20140172. https:\/\/doi.org\/10.1098\/rstb.2014.0172","journal-title":"Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences"},{"issue":"9","key":"835_CR40","doi-asserted-by":"publisher","first-page":"1475","DOI":"10.1111\/epi.13456","volume":"57","author":"A Reyes","year":"2016","unstructured":"Reyes, A., Thesen, T., Wang, X., et al. (2016). Resting-state functional MRI distinguishes temporal lobe epilepsy subtypes. Epilepsia, 57(9), 1475\u20131484. https:\/\/doi.org\/10.1111\/epi.13456","journal-title":"Epilepsia"},{"key":"835_CR41","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.yebeh.2017.09.012","volume":"78","author":"A Reyes","year":"2018","unstructured":"Reyes, A., Uttarwar, V. S., Chang, Y. A., et al. (2018). Decreased neurite density within frontostriatal networks is associated with executive dysfunction in temporal lobe epilepsy. Epilepsy & Behavior, 78, 187\u2013193. https:\/\/doi.org\/10.1016\/j.yebeh.2017.09.012","journal-title":"Epilepsy & Behavior"},{"issue":"5\u20136","key":"835_CR42","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s10334-010-0197-8","volume":"23","author":"U Sako\u011flu","year":"2010","unstructured":"Sako\u011flu, U., Pearlson, G. D., Kiehl, K. A., et al. (2010). A method for evaluating dynamic functional network connectivity and task-modulation: Application to schizophrenia. Magma, 23(5\u20136), 351\u2013366. https:\/\/doi.org\/10.1007\/s10334-010-0197-8","journal-title":"Magma"},{"key":"835_CR43","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.neulet.2018.07.005","volume":"688","author":"JD Schmahmann","year":"2019","unstructured":"Schmahmann, J. D. (2019). The cerebellum and cognition. Neuroscience Letters, 688, 62\u201375. https:\/\/doi.org\/10.1016\/j.neulet.2018.07.005","journal-title":"Neuroscience Letters"},{"issue":"9","key":"835_CR44","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1038\/nm0901-1063","volume":"7","author":"TH Schwartz","year":"2001","unstructured":"Schwartz, T. H., & Bonhoeffer, T. (2001). In vivo optical mapping of epileptic foci and surround inhibition in ferret cerebral cortex. Nature Medicine, 7(9), 1063\u20131067. https:\/\/doi.org\/10.1038\/nm0901-1063","journal-title":"Nature Medicine"},{"issue":"11","key":"835_CR45","doi-asserted-by":"publisher","first-page":"1873","DOI":"10.1007\/s00234-021-02706-x","volume":"63","author":"K Shi","year":"2021","unstructured":"Shi, K., Pang, X., Wang, Y., et al. (2021). Altered interhemispheric functional homotopy and connectivity in temporal lobe epilepsy based on fMRI and multivariate pattern analysis. Neuroradiology, 63(11), 1873\u20131882. https:\/\/doi.org\/10.1007\/s00234-021-02706-x","journal-title":"Neuroradiology"},{"key":"835_CR46","doi-asserted-by":"publisher","first-page":"50","DOI":"10.25259\/JCIS_55_2020","volume":"10","author":"TB Singh","year":"2020","unstructured":"Singh, T. B., Aisikaer, A., He, C., et al. (2020). The assessment of brain functional changes in the temporal lobe epilepsy patient with cognitive impairment by resting-state functional magnetic resonance imaging. Journal of Clinical Imaging Science, 10, 50. https:\/\/doi.org\/10.25259\/JCIS_55_2020","journal-title":"Journal of Clinical Imaging Science"},{"key":"835_CR47","doi-asserted-by":"publisher","first-page":"971062","DOI":"10.3389\/fnhum.2022.971062","volume":"16","author":"C Song","year":"2022","unstructured":"Song, C., Zhang, X., Han, S., et al. (2022). More than just statics: Static and temporal dynamic changes in intrinsic brain activity in unilateral temporal lobe epilepsy. Frontiers in Human Neuroscience, 16, 971062. https:\/\/doi.org\/10.3389\/fnhum.2022.971062","journal-title":"Frontiers in Human Neuroscience"},{"issue":"3","key":"835_CR48","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1046\/j.1528-1157.2002.26901.x","volume":"43","author":"SS Spencer","year":"2002","unstructured":"Spencer, S. S. (2002). Neural networks in human epilepsy: Evidence of and implications for treatment. Epilepsia, 43(3), 219\u2013227. https:\/\/doi.org\/10.1046\/j.1528-1157.2002.26901.x","journal-title":"Epilepsia"},{"issue":"8","key":"835_CR49","doi-asserted-by":"publisher","first-page":"2406","DOI":"10.1093\/brain\/awy164","volume":"141","author":"K Trimmel","year":"2018","unstructured":"Trimmel, K., van Graan, A. L., Caciagli, L., et al. (2018). Left temporal lobe language network connectivity in temporal lobe epilepsy. Brain, 141(8), 2406\u20132418. https:\/\/doi.org\/10.1093\/brain\/awy164","journal-title":"Brain"},{"issue":"4","key":"835_CR50","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1016\/j.yebeh.2010.01.019","volume":"17","author":"V Tuchscherer","year":"2010","unstructured":"Tuchscherer, V., Seidenberg, M., Pulsipher, D., et al. (2010). Extrahippocampal integrity in temporal lobe epilepsy and cognition: Thalamus and executive functioning. Epilepsy & Behavior, 17(4), 478\u2013482. https:\/\/doi.org\/10.1016\/j.yebeh.2010.01.019","journal-title":"Epilepsy & Behavior"},{"issue":"Pt 5","key":"835_CR51","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.1093\/brain\/awg108","volume":"126","author":"W Van Paesschen","year":"2003","unstructured":"Van Paesschen, W., Dupont, P., Van Driel, G., Van Billoen, H., & Maes, A. (2003). SPECT perfusion changes during complex partial seizures in patients with hippocampal sclerosis. Brain, 126(Pt 5), 1103\u20131111. https:\/\/doi.org\/10.1093\/brain\/awg108","journal-title":"Brain"},{"issue":"18","key":"835_CR52","doi-asserted-by":"publisher","first-page":"1934","DOI":"10.1212\/WNL.0000000000003289","volume":"87","author":"DN Vaughan","year":"2016","unstructured":"Vaughan, D. N., Rayner, G., Tailby, C., & Jackson, G. D. (2016). MRI-negative temporal lobe epilepsy: A network disorder of neocortical connectivity. Neurology, 87(18), 1934\u20131942. https:\/\/doi.org\/10.1212\/WNL.0000000000003289","journal-title":"Neurology"},{"issue":"10","key":"835_CR53","doi-asserted-by":"publisher","first-page":"2453","DOI":"10.1093\/cercor\/bhl153","volume":"17","author":"A Viard","year":"2007","unstructured":"Viard, A., Piolino, P., Desgranges, B., et al. (2007). Hippocampal activation for autobiographical memories over the entire lifetime in healthy aged subjects: An fMRI study. Cerebral Cortex, 17(10), 2453\u20132467. https:\/\/doi.org\/10.1093\/cercor\/bhl153","journal-title":"Cerebral Cortex"},{"key":"835_CR54","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.nicl.2016.12.014","volume":"14","author":"E V\u00fdtvarov\u00e1","year":"2016","unstructured":"V\u00fdtvarov\u00e1, E., Mare\u010dek, R., Fousek, J., et al. (2016). Large-scale cortico-subcortical functional networks in focal epilepsies: The role of the basal ganglia. Neuroimage Clinical, 14, 28\u201336. https:\/\/doi.org\/10.1016\/j.nicl.2016.12.014","journal-title":"Neuroimage Clinical"},{"key":"835_CR55","doi-asserted-by":"publisher","first-page":"772365","DOI":"10.3389\/fnhum.2021.772365","volume":"15","author":"K Wang","year":"2021","unstructured":"Wang, K., Zhang, X., Song, C., et al. (2021). Decreased intrinsic neural timescales in mesial temporal lobe epilepsy. Frontiers in Human Neuroscience, 15, 772365. https:\/\/doi.org\/10.3389\/fnhum.2021.772365","journal-title":"Frontiers in Human Neuroscience"},{"issue":"9","key":"835_CR56","doi-asserted-by":"publisher","first-page":"1746","DOI":"10.3174\/ajnr.A3934","volume":"35","author":"Q Xu","year":"2014","unstructured":"Xu, Q., Zhang, Z., Liao, W., et al. (2014). Time-shift homotopic connectivity in mesial temporal lobe epilepsy. AJNR. American Journal of Neuroradiology, 35(9), 1746\u20131752. https:\/\/doi.org\/10.3174\/ajnr.A3934","journal-title":"AJNR. American Journal of Neuroradiology"},{"issue":"3","key":"835_CR57","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1007\/s12021-016-9299-4","volume":"14","author":"CG Yan","year":"2016","unstructured":"Yan, C. G., Wang, X. D., Zuo, X. N., & Zang, Y. F. (2016). DPABI: Data processing & analysis for (Resting-State) brain imaging. Neuroinformatics, 14(3), 339\u2013351. https:\/\/doi.org\/10.1007\/s12021-016-9299-4","journal-title":"Neuroinformatics"},{"issue":"23","key":"835_CR58","doi-asserted-by":"publisher","first-page":"1572","DOI":"10.1016\/j.scib.2017.09.015","volume":"62","author":"CG Yan","year":"2017","unstructured":"Yan, C. G., Yang, Z., Colcombe, S. J., et al. (2017). Concordance among indices of intrinsic brain function: Insights from inter individual variation and temporal dynamics. Science Bulletin, 62(23), 1572\u20131584. https:\/\/doi.org\/10.1016\/j.scib.2017.09.015","journal-title":"Science Bulletin"},{"issue":"1","key":"835_CR59","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.neuroimage.2007.01.054","volume":"36","author":"H Yang","year":"2007","unstructured":"Yang, H., Long, X. Y., Yang, Y., et al. (2007). Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI. NeuroImage, 36(1), 144\u2013152. https:\/\/doi.org\/10.1016\/j.neuroimage.2007.01.054","journal-title":"NeuroImage"},{"key":"835_CR60","doi-asserted-by":"publisher","first-page":"177","DOI":"10.3389\/fnsys.2015.00177","volume":"9","author":"W Yu","year":"2015","unstructured":"Yu, W., & Krook-Magnuson, E. (2015). Cognitive collaborations: Bidirectional functional connectivity between the cerebellum and the hippocampus. Frontiers in Systems Neuroscience, 9, 177. https:\/\/doi.org\/10.3389\/fnsys.2015.00177","journal-title":"Frontiers in Systems Neuroscience"},{"issue":"2","key":"835_CR61","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.braindev.2006.07.002","volume":"29","author":"YF Zang","year":"2007","unstructured":"Zang, Y. F., He, Y., Zhu, C. Z., et al. (2007). Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI [published correction appears in Brain Dev. 2012 Apr;34(4):336]. Brain and Development, 29(2), 83\u201391. https:\/\/doi.org\/10.1016\/j.braindev.2006.07.002","journal-title":"Brain and Development"},{"issue":"1","key":"835_CR62","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.neuroimage.2003.12.030","volume":"22","author":"Y Zang","year":"2004","unstructured":"Zang, Y., Jiang, T., Lu, Y., He, Y., & Tian, L. (2004). Regional homogeneity approach to fMRI data analysis. NeuroImage, 22(1), 394\u2013400. https:\/\/doi.org\/10.1016\/j.neuroimage.2003.12.030","journal-title":"NeuroImage"},{"issue":"4","key":"835_CR63","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1111\/epi.12066","volume":"54","author":"H Zeng","year":"2013","unstructured":"Zeng, H., Pizarro, R., Nair, V. A., et al. (2013). Alterations in regional homogeneity of resting-state brain activity in mesial temporal lobe epilepsy. Epilepsia, 54(4), 658\u2013666. https:\/\/doi.org\/10.1111\/epi.12066","journal-title":"Epilepsia"},{"issue":"10","key":"835_CR64","doi-asserted-by":"publisher","first-page":"1705","DOI":"10.1007\/s00415-009-5187-2","volume":"256","author":"Z Zhang","year":"2009","unstructured":"Zhang, Z., Lu, G., Zhong, Y., et al. (2009). Impaired perceptual networks in temporal lobe epilepsy revealed by resting fMRI. Journal of Neurology, 256(10), 1705\u20131713. https:\/\/doi.org\/10.1007\/s00415-009-5187-2","journal-title":"Journal of Neurology"},{"issue":"12","key":"835_CR65","doi-asserted-by":"publisher","first-page":"1851","DOI":"10.1002\/hbm.20982","volume":"31","author":"Z Zhang","year":"2010","unstructured":"Zhang, Z., Lu, G., Zhong, Y., et al. (2010). fMRI study of mesial temporal lobe epilepsy using amplitude of low-frequency fluctuation analysis. Human Brain Mapping, 31(12), 1851\u20131861. https:\/\/doi.org\/10.1002\/hbm.20982","journal-title":"Human Brain Mapping"},{"key":"835_CR66","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.seizure.2020.07.030","volume":"81","author":"B Zhao","year":"2020","unstructured":"Zhao, B., Yang, B., Tan, Z., et al. (2020). Intrinsic brain activity changes in temporal lobe epilepsy patients revealed by regional homogeneity analysis. Seizure, 81, 117\u2013122. https:\/\/doi.org\/10.1016\/j.seizure.2020.07.030","journal-title":"Seizure"},{"issue":"1","key":"835_CR67","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.jneumeth.2008.04.012","volume":"172","author":"QH Zou","year":"2008","unstructured":"Zou, Q. H., Zhu, C. Z., Yang, Y., et al. (2008). An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF. Journal of Neuroscience Methods, 172(1), 137\u2013141. https:\/\/doi.org\/10.1016\/j.jneumeth.2008.04.012","journal-title":"Journal of Neuroscience Methods"},{"issue":"8","key":"835_CR68","doi-asserted-by":"publisher","first-page":"1862","DOI":"10.1093\/cercor\/bhr269","volume":"22","author":"XN Zuo","year":"2012","unstructured":"Zuo, X. N., Ehmke, R., Mennes, M., et al. (2012). Network centrality in the human functional connectome. Cerebral Cortex, 22(8), 1862\u20131875. https:\/\/doi.org\/10.1093\/cercor\/bhr269","journal-title":"Cerebral Cortex"},{"issue":"45","key":"835_CR69","doi-asserted-by":"publisher","first-page":"15034","DOI":"10.1523\/JNEUROSCI.2612-10.2010","volume":"30","author":"XN Zuo","year":"2010","unstructured":"Zuo, X. N., Kelly, C., Di Martino, A., et al. (2010). Growing together and growing apart: Regional and sex differences in the lifespan developmental trajectories of functional homotopy. Journal of Neuroscience, 30(45), 15034\u201315043. https:\/\/doi.org\/10.1523\/JNEUROSCI.2612-10.2010","journal-title":"Journal of Neuroscience"}],"container-title":["Brain Imaging and Behavior"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-023-00835-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11682-023-00835-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-023-00835-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T07:29:10Z","timestamp":1717658950000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11682-023-00835-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,12]]},"references-count":69,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024,4]]}},"alternative-id":["835"],"URL":"https:\/\/doi.org\/10.1007\/s11682-023-00835-w","relation":{},"ISSN":["1931-7565"],"issn-type":[{"value":"1931-7565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,12]]},"assertion":[{"value":"1 December 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 December 2023","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 studies involving human participants were reviewed and approved by the Research Ethical Committee of the first\u00a0affiliated hospital of\u00a0Zhengzhou University.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"Written informed consent to participate in this study was provided by the participant\u2019s legal guardian\/next of kin.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"All participants provided consent to publication of results of the analyses of deidentifed data.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}