{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T22:10:34Z","timestamp":1783980634236,"version":"3.55.0"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T00:00:00Z","timestamp":1740182400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T00:00:00Z","timestamp":1740182400000},"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\/s11682-025-00986-y","type":"journal-article","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T21:24:11Z","timestamp":1740173051000},"page":"456-467","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Based on the resting-state functional magnetic resonance imaging reveals the causal relationship between the brain function network and the risk of tinnitus: a bidirectional Mendelian randomization analysis"],"prefix":"10.1007","volume":"19","author":[{"given":"Yuchao","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunli","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linli","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,22]]},"reference":[{"key":"986_CR28","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/j.tics.2013.12.003","volume":"18","author":"AR Aron","year":"2014","unstructured":"Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2014). Inhibition and the right inferior frontal cortex: One decade on. Trends in Cognitive Sciences, 18, 177\u2013185. https:\/\/doi.org\/10.1016\/j.tics.2013.12.003","journal-title":"Trends in Cognitive Sciences"},{"key":"986_CR24","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B, Statistical Methodology, 57, 289\u2013300. https:\/\/doi.org\/10.1111\/j.2517-6161.1995.tb02031.x","journal-title":"Journal of the Royal Statistical Society. Series B, Statistical Methodology"},{"key":"986_CR21","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1093\/ije\/dyv080","volume":"44","author":"J Bowden","year":"2015","unstructured":"Bowden, J., Davey Smith, G., & Burgess, S. (2015). Mendelian randomization with invalid instruments: Effect estimation and bias detection through Egger regression. International Journal of Epidemiology, 44, 512\u2013525. https:\/\/doi.org\/10.1093\/ije\/dyv080","journal-title":"International Journal of Epidemiology"},{"key":"986_CR22","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1002\/gepi.21965","volume":"40","author":"J Bowden","year":"2016","unstructured":"Bowden, J., Davey Smith, G., Haycock, P. C., & Burgess, S. (2016). Consistent estimation in mendelian randomization with some invalid instruments using a weighted median estimator. Genetic Epidemiology, 40, 304\u2013314. https:\/\/doi.org\/10.1002\/gepi.21965","journal-title":"Genetic Epidemiology"},{"key":"986_CR17","doi-asserted-by":"publisher","first-page":"728","DOI":"10.1093\/ije\/dyy258","volume":"48","author":"J Bowden","year":"2019","unstructured":"Bowden, J., Del Greco, M. F., Minelli, C., Zhao, Q., Lawlor, D. A., Sheehan, N. A., Thompson, J., & Davey Smith, G. (2019). Improving the accuracy of two-sample summary-data mendelian randomization: Moving beyond the NOME assumption. International Journal of Epidemiology, 48, 728\u2013742. https:\/\/doi.org\/10.1093\/ije\/dyy258","journal-title":"International Journal of Epidemiology"},{"key":"986_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1196\/annals.1440.011","volume":"1124","author":"RL Buckner","year":"2008","unstructured":"Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain\u2019s default network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124, 1\u201338. https:\/\/doi.org\/10.1196\/annals.1440.011","journal-title":"Annals of the New York Academy of Sciences"},{"key":"986_CR14","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1038\/ng.3211","volume":"47","author":"BK Bulik-Sullivan","year":"2015","unstructured":"Bulik-Sullivan, B. K., Loh, P. R., Finucane, H. K., Ripke, S., Yan, J., Schizophrenia Working Group of the Psychiatric Genomics Consortium, Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015). LD score regression distinguishes confounding from polygenicity in genome-wide association studies. Nature Genetics, 47, 291\u2013295. https:\/\/doi.org\/10.1038\/ng.3211","journal-title":"Nature Genetics"},{"key":"986_CR19","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1093\/ije\/dyr036","volume":"40","author":"S Burgess","year":"2011","unstructured":"Burgess, S., Thompson, S. G., & Genetics Collaboration, C. R. P. C. H. D. (2011). Avoiding bias from weak instruments in mendelian randomization studies. International Journal of Epidemiology, 40, 755\u2013764. https:\/\/doi.org\/10.1093\/ije\/dyr036","journal-title":"International Journal of Epidemiology"},{"key":"986_CR18","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1002\/gepi.21758","volume":"37","author":"S Burgess","year":"2013","unstructured":"Burgess, S., Butterworth, A., & Thompson, S. G. (2013). Mendelian randomization analysis with multiple genetic variants using summarized data. Genetic Epidemiology, 37, 658\u2013665. https:\/\/doi.org\/10.1002\/gepi.21758","journal-title":"Genetic Epidemiology"},{"key":"986_CR20","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1007\/s10654-015-0011-z","volume":"30","author":"S Burgess","year":"2015","unstructured":"Burgess, S., Scott, R. A., Timpson, N. J., Smith, G. D., Thompson, S. G., & Consortium, E. P. I. C. I. A. (2015). Using published data in mendelian randomization: A blueprint for efficient identification of causal risk factors. European Journal of Epidemiology, 30, 543\u2013552. https:\/\/doi.org\/10.1007\/s10654-015-0011-z","journal-title":"European Journal of Epidemiology"},{"key":"986_CR5","doi-asserted-by":"publisher","first-page":"e06576","DOI":"10.7554\/eLife.06576","volume":"4","author":"YC Chen","year":"2015","unstructured":"Chen, Y. C., Li, X., Liu, L., Wang, J., Lu, C. Q., Yang, M., Jiao, Y., Zang, F. C., Radziwon, K., Chen, G. D., Sun, W., Muthaiah, V. P. K., Salvi, R., & Teng, G. J. (2015). Tinnitus and hyperacusis involve hyperactivity and enhanced connectivity in auditory-limbic-arousal-cerebellar network. eLife, 4, e06576. https:\/\/doi.org\/10.7554\/eLife.06576","journal-title":"eLife"},{"key":"986_CR30","doi-asserted-by":"publisher","first-page":"174","DOI":"10.3389\/fnagi.2016.00174","volume":"8","author":"YC Chen","year":"2016","unstructured":"Chen, Y. C., Feng, Y., Xu, J. J., Mao, C. N., Xia, W., Ren, J., & Yin, X. (2016). Disrupted brain functional network architecture in chronic tinnitus patients. Frontiers in Aging Neuroscience, 8, 174. https:\/\/doi.org\/10.3389\/fnagi.2016.00174","journal-title":"Frontiers in Aging Neuroscience"},{"key":"986_CR13","doi-asserted-by":"publisher","first-page":"110465","DOI":"10.1016\/j.pnpbp.2021.110465","volume":"113","author":"EHI Claeys","year":"2022","unstructured":"Claeys, E. H. I., Mantingh, T., Morrens, M., Yalin, N., & Stokes, P. R. A. (2022). Resting-state fMRI in depressive and (hypo)manic mood states in bipolar disorders: A systematic review. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 113, 110465. https:\/\/doi.org\/10.1016\/j.pnpbp.2021.110465","journal-title":"Progress in Neuro-Psychopharmacology & Biological Psychiatry"},{"key":"986_CR15","doi-asserted-by":"publisher","first-page":"1420","DOI":"10.1038\/s41467-024-45655-8","volume":"15","author":"L Darrous","year":"2024","unstructured":"Darrous, L., Hemani, G., Davey Smith, G., & Kutalik, Z. (2024). PheWAS-based clustering of mendelian randomisation instruments reveals distinct mechanism-specific causal effects between obesity and educational attainment. Nature Communications, 15, 1420. https:\/\/doi.org\/10.1038\/s41467-024-45655-8","journal-title":"Nature Communications"},{"key":"986_CR34","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.neubiorev.2013.03.021","volume":"44","author":"D De Ridder","year":"2014","unstructured":"De Ridder, D., Vanneste, S., Weisz, N., Londero, A., Schlee, W., Elgoyhen, A. B., & Langguth, B. (2014). An integrative model of auditory phantom perception: Tinnitus as a unified percept of interacting separable subnetworks. Neuroscience and Biobehavioral Reviews, 44, 16\u201332. https:\/\/doi.org\/10.1016\/j.neubiorev.2013.03.021","journal-title":"Neuroscience and Biobehavioral Reviews"},{"key":"986_CR1","doi-asserted-by":"publisher","first-page":"676","DOI":"10.1016\/j.tins.2004.08.010","volume":"27","author":"JJ Eggermont","year":"2004","unstructured":"Eggermont, J. J., & Roberts, L. E. (2004). The neuroscience of tinnitus. Trends in Neurosciences, 27, 676\u2013682. https:\/\/doi.org\/10.1016\/j.tins.2004.08.010","journal-title":"Trends in Neurosciences"},{"key":"986_CR16","doi-asserted-by":"publisher","first-page":"2926","DOI":"10.1002\/sim.6522","volume":"34","author":"FD Greco","year":"2015","unstructured":"Greco, F. D., Minelli, M. C., Sheehan, N. A., & Thompson, J. R. (2015). Detecting pleiotropy in mendelian randomisation studies with summary data and a continuous outcome. Statistics in Medicine, 34, 2926\u20132940. https:\/\/doi.org\/10.1002\/sim.6522","journal-title":"Statistics in Medicine"},{"key":"986_CR3","doi-asserted-by":"publisher","first-page":"866","DOI":"10.3389\/fnins.2018.00866","volume":"12","author":"HF Haider","year":"2018","unstructured":"Haider, H. F., Boji\u0107, T., Ribeiro, S. F., Pa\u00e7o, J., Hall, D. A., & Szczepek, A. J. (2018). Pathophysiology of subjective tinnitus: Triggers and maintenance. Front Neurosci, 12, 866. https:\/\/doi.org\/10.3389\/fnins.2018.00866","journal-title":"Front Neurosci"},{"key":"986_CR23","doi-asserted-by":"publisher","first-page":"1985","DOI":"10.1093\/ije\/dyx102","volume":"46","author":"FP Hartwig","year":"2017","unstructured":"Hartwig, F. P., Davey Smith, G., & Bowden, J. (2017). Robust inference in summary data mendelian randomization via the zero modal pleiotropy assumption. International Journal of Epidemiology, 46, 1985\u20131998. https:\/\/doi.org\/10.1093\/ije\/dyx102","journal-title":"International Journal of Epidemiology"},{"key":"986_CR6","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.heares.2013.07.010","volume":"307","author":"FT Husain","year":"2014","unstructured":"Husain, F. T., & Schmidt, S. A. (2014). Using resting state functional connectivity to unravel networks of tinnitus. Hearing Research, 307, 153\u2013162. https:\/\/doi.org\/10.1016\/j.heares.2013.07.010","journal-title":"Hearing Research"},{"key":"986_CR27","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.brainres.2010.10.095","volume":"1369","author":"FT Husain","year":"2011","unstructured":"Husain, F. T., Medina, R. E., Davis, C. W., Szymko-Bennett, Y., Simonyan, K., Pajor, N. M., & Horwitz, B. (2011). Neuroanatomical changes due to hearing loss and chronic tinnitus: A combined VBM and DTI study. Brain Research, 1369, 74\u201388. https:\/\/doi.org\/10.1016\/j.brainres.2010.10.095","journal-title":"Brain Research"},{"key":"986_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0165-0173(80)90002-8","volume":"203","author":"EG Jones","year":"1980","unstructured":"Jones, E. G., & Porter, R. (1980). What is area 3a? Brain Research, 203, 1\u201343. https:\/\/doi.org\/10.1016\/0165-0173(80)90002-8","journal-title":"Brain Research"},{"key":"986_CR2","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1007\/s00062-022-01170-1","volume":"32","author":"TE Kok","year":"2022","unstructured":"Kok, T. E., Domingo, D., Hassan, J., Vuong, A., Hordacre, B., Clark, C., Katrakazas, P., & Shekhawat, G. S. (2022). Resting-state networks in tinnitus: A scoping review. Clinical Neuroradiology, 32, 903\u2013922. https:\/\/doi.org\/10.1007\/s00062-022-01170-1","journal-title":"Clinical Neuroradiology"},{"key":"986_CR7","doi-asserted-by":"publisher","first-page":"21","DOI":"10.3389\/fnsys.2012.00021","volume":"6","author":"AM Leaver","year":"2012","unstructured":"Leaver, A. M., Seydell-Greenwald, A., Turesky, T. K., Morgan, S., Kim, H. J., & Rauschecker, J. P. (2012). Cortico-limbic morphology separates tinnitus from tinnitus distress. Frontiers in Systems Neuroscience, 6, 21. https:\/\/doi.org\/10.3389\/fnsys.2012.00021","journal-title":"Frontiers in Systems Neuroscience"},{"key":"986_CR38","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1162\/089892904970834","volume":"16","author":"J Lewald","year":"2004","unstructured":"Lewald, J., Meister, I. G., Weidemann, J., & T\u00f6pper, R. (2004). Involvement of the superior temporal cortex and the occipital cortex in spatial hearing: Evidence from repetitive transcranial magnetic stimulation. Journal of Cognitive Neuroscience, 16, 828\u2013838. https:\/\/doi.org\/10.1162\/089892904970834","journal-title":"Journal of Cognitive Neuroscience"},{"key":"986_CR42","doi-asserted-by":"publisher","first-page":"e36222","DOI":"10.1371\/journal.pone.0036222","volume":"7","author":"A Maudoux","year":"2012","unstructured":"Maudoux, A., Lefebvre, P., Cabay, J. E., Demertzi, A., Vanhaudenhuyse, A., Laureys, S., & Soddu, A. (2012). Auditory resting-state network connectivity in tinnitus: A functional MRI study. PloS One, 7, e36222. https:\/\/doi.org\/10.1371\/journal.pone.0036222","journal-title":"PloS One"},{"key":"986_CR10","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1038\/nrn1993","volume":"7","author":"A Meyer-Lindenberg","year":"2006","unstructured":"Meyer-Lindenberg, A., & Weinberger, D. R. (2006). Intermediate phenotypes and genetic mechanisms of psychiatric disorders. Nature Reviews Neuroscience, 7, 818\u2013827. https:\/\/doi.org\/10.1038\/nrn1993","journal-title":"Nature Reviews Neuroscience"},{"key":"986_CR11","doi-asserted-by":"publisher","first-page":"1417","DOI":"10.1038\/s41562-024-01879-8","volume":"8","author":"C Mu","year":"2024","unstructured":"Mu, C., Dang, X., & Luo, X. J. (2024). Mendelian randomization analyses reveal causal relationships between brain functional networks and risk of psychiatric disorders. Nat Hum Behav, 8, 1417\u20131428. https:\/\/doi.org\/10.1038\/s41562-024-01879-8","journal-title":"Nat Hum Behav"},{"key":"986_CR44","doi-asserted-by":"publisher","first-page":"2243","DOI":"10.1038\/s41598-021-81728-0","volume":"11","author":"P Neff","year":"2021","unstructured":"Neff, P., Sim\u00f5es, J., Psatha, S., Nyamaa, A., Boecking, B., Rausch, L., Dettling-Papargyris, J., Funk, C., Brueggemann, P., & Mazurek, B. (2021). The impact of tinnitus distress on cognition. Scientific Reports, 11, 2243. https:\/\/doi.org\/10.1038\/s41598-021-81728-0","journal-title":"Scientific Reports"},{"key":"986_CR43","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/s00429-022-02551-5","volume":"228","author":"L Petit","year":"2023","unstructured":"Petit, L., Ali, K. M., Rheault, F., Bor\u00e9, A., Cremona, S., Corsini, F., De Benedictis, A., Descoteaux, M., & Sarubbo, S. (2023). The structural connectivity of the human angular gyrus as revealed by microdissection and diffusion tractography. Brain Struct Funct, 228, 103\u2013120. https:\/\/doi.org\/10.1007\/s00429-022-02551-5","journal-title":"Brain Struct Funct"},{"key":"986_CR36","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1016\/j.neuron.2010.04.032","volume":"66","author":"JP Rauschecker","year":"2010","unstructured":"Rauschecker, J. P., Leaver, A. M., & M\u00fchlau, M. (2010). Tuning out the noise: Limbic-auditory interactions in tinnitus. Neuron, 66, 819\u2013826. https:\/\/doi.org\/10.1016\/j.neuron.2010.04.032","journal-title":"Neuron"},{"key":"986_CR33","doi-asserted-by":"publisher","first-page":"3001","DOI":"10.1007\/s00429-019-01945-2","volume":"224","author":"ET Rolls","year":"2019","unstructured":"Rolls, E. T. (2019). The cingulate cortex and limbic systems for emotion, action, and memory. Brain Struct Funct, 224, 3001\u20133018. https:\/\/doi.org\/10.1007\/s00429-019-01945-2","journal-title":"Brain Struct Funct"},{"key":"986_CR35","doi-asserted-by":"publisher","first-page":"147277","DOI":"10.1016\/j.brainres.2021.147277","volume":"1755","author":"S Shahsavarani","year":"2021","unstructured":"Shahsavarani, S., Schmidt, S. A., Khan, R. A., Tai, Y., & Husain, F. T. (2021). Salience, emotion, and attention: The neural networks underlying tinnitus distress revealed using music and rest. Brain Research, 1755, 147277. https:\/\/doi.org\/10.1016\/j.brainres.2021.147277","journal-title":"Brain Research"},{"key":"986_CR26","doi-asserted-by":"publisher","first-page":"810","DOI":"10.1016\/j.tins.2020.07.005","volume":"43","author":"K Slade","year":"2020","unstructured":"Slade, K., Plack, C. J., & Nuttall, H. E. (2020). The effects of age-related hearing loss on the brain and cognitive function. Trends in Neurosciences, 43, 810\u2013821. https:\/\/doi.org\/10.1016\/j.tins.2020.07.005","journal-title":"Trends in Neurosciences"},{"key":"986_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/ije\/dyg070","volume":"32","author":"GD Smith","year":"2003","unstructured":"Smith, G. D., & Ebrahim, S. (2003). Mendelian randomization\u2019: Can genetic epidemiology contribute to understanding environmental determinants of disease? International Journal of Epidemiology, 32, 1\u201322. https:\/\/doi.org\/10.1093\/ije\/dyg070","journal-title":"International Journal of Epidemiology"},{"key":"986_CR39","doi-asserted-by":"publisher","first-page":"940","DOI":"10.1016\/j.neuron.2017.01.006","volume":"93","author":"YH Song","year":"2017","unstructured":"Song, Y. H., Kim, J. H., Jeong, H. W., Choi, I., Jeong, D., Kim, K., & Lee, S. H. (2017). A neural circuit for auditory dominance over visual perception. Neuron, 93, 940\u2013954e6. https:\/\/doi.org\/10.1016\/j.neuron.2017.01.006","journal-title":"Neuron"},{"key":"986_CR8","doi-asserted-by":"publisher","unstructured":"Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., Toro, R., Jahanshad, N., Schumann, G., Franke, B., Wright, M. J., Martin, N. G., Agartz, I., Alda, M., Alhusaini, S., Almasy, L., Almeida, J., Alpert, K., Andreasen, N. C., Andreassen, O. A., Apostolova, L. G., Appel, K., Armstrong, N. J., & Aribisala, B. (2014). The Alzheimer\u2019s Disease Neuroimaging Initiative, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study (SYS) Group. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data, Brain Imaging Behav. 8 153\u2013182. https:\/\/doi.org\/10.1007\/s11682-013-9269-5","DOI":"10.1007\/s11682-013-9269-5"},{"key":"986_CR4","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1016\/j.euroneuro.2010.03.008","volume":"20","author":"MP van den Heuvel","year":"2010","unstructured":"van den Heuvel, M. P., Hulshoff, H. E., & Pol,H. (2010). Exploring the brain network: A review on resting-state fMRI functional connectivity. European Neuropsychopharmacology, 20, 519\u2013534. https:\/\/doi.org\/10.1016\/j.euroneuro.2010.03.008","journal-title":"European Neuropsychopharmacology"},{"key":"986_CR37","doi-asserted-by":"publisher","first-page":"e59728","DOI":"10.1371\/journal.pone.0059728","volume":"8","author":"S Vanneste","year":"2013","unstructured":"Vanneste, S., & De Ridder, D. (2013). Brain areas controlling heart rate variability in tinnitus and tinnitus-related distress. PloS One, 8, e59728. https:\/\/doi.org\/10.1371\/journal.pone.0059728","journal-title":"PloS One"},{"key":"986_CR32","doi-asserted-by":"publisher","first-page":"e31182","DOI":"10.1371\/journal.pone.0031182","volume":"7","author":"S Vanneste","year":"2012","unstructured":"Vanneste, S., Joos, K., & De Ridder, D. (2012). Prefrontal cortex based sex differences in tinnitus perception: Same tinnitus intensity, same tinnitus distress, different mood. PloS One, 7, e31182. https:\/\/doi.org\/10.1371\/journal.pone.0031182","journal-title":"PloS One"},{"key":"986_CR25","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1038\/s41588-018-0099-7","volume":"50","author":"M Verbanck","year":"2018","unstructured":"Verbanck, M., Chen, C. Y., Neale, B., & Do, R. (2018). Detection of widespread horizontal pleiotropy in causal relationships inferred from mendelian randomization between complex traits and diseases. Nature Genetics, 50, 693\u2013698. https:\/\/doi.org\/10.1038\/s41588-018-0099-7","journal-title":"Nature Genetics"},{"key":"986_CR40","doi-asserted-by":"publisher","first-page":"4410","DOI":"10.1523\/JNEUROSCI.2437-19.2020","volume":"40","author":"H Zeng","year":"2020","unstructured":"Zeng, H., Fink, G. R., & Weidner, R. (2020). Visual size processing in early visual cortex follows lateral occipital cortex involvement. Journal of Neuroscience, 40, 4410\u20134417. https:\/\/doi.org\/10.1523\/JNEUROSCI.2437-19.2020","journal-title":"Journal of Neuroscience"},{"key":"986_CR29","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1093\/cercor\/bhr088","volume":"22","author":"S Zhang","year":"2012","unstructured":"Zhang, S., Ide, J. S., & Li, C. S. (2012). Resting-state functional connectivity of the medial superior frontal cortex. Cerebral Cortex, 22, 99\u2013111. https:\/\/doi.org\/10.1093\/cercor\/bhr088","journal-title":"Cerebral Cortex"},{"key":"986_CR12","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1038\/s41588-022-01039-6","volume":"54","author":"B Zhao","year":"2022","unstructured":"Zhao, B., Li, T., Smith, S. M., Xiong, D., Wang, X., Yang, Y., Luo, T., Zhu, Z., Shan, Y., Matoba, N., Sun, Q., Yang, Y., Hauberg, M. E., Bendl, J., Fullard, J. F., Roussos, P., Lin, W., Li, Y., Stein, J. L., & Zhu, H. (2022). Common variants contribute to intrinsic human brain functional networks. Nature Genetics, 54, 508\u2013517. https:\/\/doi.org\/10.1038\/s41588-022-01039-6","journal-title":"Nature Genetics"}],"container-title":["Brain Imaging and Behavior"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-025-00986-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11682-025-00986-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-025-00986-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T13:12:23Z","timestamp":1744204343000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11682-025-00986-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,22]]},"references-count":44,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,4]]}},"alternative-id":["986"],"URL":"https:\/\/doi.org\/10.1007\/s11682-025-00986-y","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-5115233\/v1","asserted-by":"object"}]},"ISSN":["1931-7565"],"issn-type":[{"value":"1931-7565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,22]]},"assertion":[{"value":"14 February 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 February 2025","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 UK Biobank study received ethical approval from the NorthWest Multi-Centre Research Ethics Committee (MREC), and the FinnGen study was approved by the Finnish Institute for Health and Welfare. Informed consent was obtained from all individual participants included in this study. The data used in this research were anonymized before analysis to ensure the confidentiality and privacy of the participants. The respective original publications and database usage agreements outline the ethical permissions and consents. For this specific study, no additional ethical approval was required, as it involved the analysis of existing, de-identified data from previously approved studies.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}