{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T16:24:22Z","timestamp":1781886262938,"version":"3.54.5"},"reference-count":79,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T00:00:00Z","timestamp":1745625600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T00:00:00Z","timestamp":1745625600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"San Francisco Veterans Affairs Healthcare System","award":["1IK6CX002519"],"award-info":[{"award-number":["1IK6CX002519"]}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["R01MH123610"],"award-info":[{"award-number":["R01MH123610"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Science Foundation, United States","award":["2112455"],"award-info":[{"award-number":["2112455"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neuroinform"],"DOI":"10.1007\/s12021-025-09728-3","type":"journal-article","created":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T05:36:12Z","timestamp":1745645772000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Alterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion"],"prefix":"10.1007","volume":"23","author":[{"given":"Marlena","family":"Duda","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashkan","family":"Faghiri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aysenil","family":"Belger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan R.","family":"Bustillo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Judith M.","family":"Ford","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel H.","family":"Mathalon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bryon A.","family":"Mueller","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Godfrey D.","family":"Pearlson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven G.","family":"Potkin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adrian","family":"Preda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Sui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Theo G. M.","family":"Van Erp","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vince D.","family":"Calhoun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,4,26]]},"reference":[{"issue":"5","key":"9728_CR1","doi-asserted-by":"publisher","first-page":"2448","DOI":"10.1038\/s41380-022-01502-0","volume":"27","author":"SV Abram","year":"2022","unstructured":"Abram, S. V., Roach, B. J., Fryer, S. L., Calhoun, V. D., Preda, A., van Erp, T. G. M., Bustillo, J. R., Lim, K. O., Loewy, R. L., Stuart, B. K., Krystal, J. H., Ford, J. M., & Mathalon, D. H. (2022). Validation of ketamine as a pharmacological model of thalamic dysconnectivity across the illness course of schizophrenia. Molecular Psychiatry, 27(5), 2448\u20132456. https:\/\/doi.org\/10.1038\/s41380-022-01502-0","journal-title":"Molecular Psychiatry"},{"key":"9728_CR2","doi-asserted-by":"crossref","unstructured":"Abrol, A., Rashid, B., Rachakonda, S., Damaraju, E., & Calhoun, V. D. (2017). Schizophrenia shows disrupted links between brain volume and dynamic functional connectivity. Frontiers in Neuroscience, 11. https:\/\/www.frontiersin.org\/article\/10.3389\/fnins.2017.00624","DOI":"10.3389\/fnins.2017.00624"},{"key":"9728_CR3","doi-asserted-by":"publisher","first-page":"416","DOI":"10.3389\/fnins.2019.00416","volume":"13","author":"E Acar","year":"2019","unstructured":"Acar, E., Schenker, C., Levin-Schwartz, Y., Calhoun, V. D., & Adali, T. (2019). Unraveling diagnostic biomarkers of schizophrenia through structure-revealing fusion of multi-modal neuroimaging data. Frontiers in Neuroscience, 13, 416. https:\/\/doi.org\/10.3389\/fnins.2019.00416","journal-title":"Frontiers in Neuroscience"},{"key":"9728_CR4","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.schres.2017.01.042","volume":"189","author":"A Alonso-Sol\u00eds","year":"2017","unstructured":"Alonso-Sol\u00eds, A., Vives-Gilabert, Y., Portella, M. J., Rabella, M., Grasa, E. M., Rold\u00e1n, A., Keymer-Gausset, A., Molins, C., N\u00fa\u00f1ez-Mar\u00edn, F., G\u00f3mez-Ans\u00f3n, B., Alvarez, E., & Corripio, I. (2017). Altered amplitude of low frequency fluctuations in schizophrenia patients with persistent auditory verbal hallucinations. Schizophrenia Research, 189, 97\u2013103. https:\/\/doi.org\/10.1016\/j.schres.2017.01.042","journal-title":"Schizophrenia Research"},{"key":"9728_CR5","doi-asserted-by":"publisher","unstructured":"American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed). https:\/\/doi.org\/10.1176\/appi.books.9780890425596","DOI":"10.1176\/appi.books.9780890425596"},{"issue":"12","key":"9728_CR6","doi-asserted-by":"publisher","first-page":"3116","DOI":"10.1093\/cercor\/bht165","volume":"24","author":"A Anticevic","year":"2014","unstructured":"Anticevic, A., Cole, M. W., Repovs, G., Murray, J. D., Brumbaugh, M. S., Winkler, A. M., Savic, A., Krystal, J. H., Pearlson, G. D., & Glahn, D. C. (2014). Characterizing thalamo-cortical disturbances in schizophrenia and bipolar illness. Cerebral Cortex (New York, N.Y.: 1991), 24(12), 3116\u20133130. https:\/\/doi.org\/10.1093\/cercor\/bht165","journal-title":"Cerebral Cortex (New York, N.Y.: 1991)"},{"key":"9728_CR7","first-page":"1","volume":"3","author":"G Ayano","year":"2016","unstructured":"Ayano, G. (2016). Schizophrenia: A concise overview of etiology, epidemiology diagnosis and management: Review of literatures. Journal of Schizophrenia Research, 3, 1\u20137.","journal-title":"Journal of Schizophrenia Research"},{"issue":"4","key":"9728_CR8","doi-asserted-by":"publisher","first-page":"1004","DOI":"10.1093\/schbul\/sbm052","volume":"33","author":"RL Bluhm","year":"2007","unstructured":"Bluhm, R. L., Miller, J., Lanius, R. A., Osuch, E. A., Boksman, K., Neufeld, R. W. J., Th\u00e9berge, J., Schaefer, B., & Williamson, P. (2007). Spontaneous low-frequency fluctuations in the BOLD signal in schizophrenic patients: Anomalies in the default network. Schizophrenia Bulletin, 33(4), 1004\u20131012. https:\/\/doi.org\/10.1093\/schbul\/sbm052","journal-title":"Schizophrenia Bulletin"},{"issue":"3","key":"9728_CR9","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/j.bpsc.2015.12.005","volume":"1","author":"VD Calhoun","year":"2016","unstructured":"Calhoun, V. D., & Sui, J. (2016). Multimodal Fusion of Brain Imaging Data: A Key to Finding the Missing Link(s) in Complex Mental Illness. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1(3), 230\u2013244. https:\/\/doi.org\/10.1016\/j.bpsc.2015.12.005","journal-title":"Biological Psychiatry: Cognitive Neuroscience and Neuroimaging"},{"issue":"1","key":"9728_CR10","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1002\/hbm.20166","volume":"27","author":"VD Calhoun","year":"2006","unstructured":"Calhoun, V. D., Adali, T., Giuliani, N. R., Pekar, J. J., Kiehl, K. A., & Pearlson, G. D. (2006). Method for multimodal analysis of independent source differences in schizophrenia: Combining gray matter structural and auditory oddball functional data. Human Brain Mapping, 27(1), 47\u201362. https:\/\/doi.org\/10.1002\/hbm.20166","journal-title":"Human Brain Mapping"},{"issue":"7","key":"9728_CR11","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1002\/hbm.20581","volume":"29","author":"VD Calhoun","year":"2008","unstructured":"Calhoun, V. D., Kiehl, K. A., & Pearlson, G. D. (2008). Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks. Human Brain Mapping, 29(7), 828\u2013838. https:\/\/doi.org\/10.1002\/hbm.20581","journal-title":"Human Brain Mapping"},{"key":"9728_CR12","doi-asserted-by":"publisher","first-page":"75","DOI":"10.3389\/fpsyt.2011.00075","volume":"2","author":"VD Calhoun","year":"2011","unstructured":"Calhoun, V. D., Sui, J., Kiehl, K., Turner, J., Allen, E., & Pearlson, G. (2011). Exploring the psychosis functional connectome: Aberrant intrinsic networks in schizophrenia and bipolar disorder. Frontiers in Psychiatry, 2, 75. https:\/\/doi.org\/10.3389\/fpsyt.2011.00075","journal-title":"Frontiers in Psychiatry"},{"issue":"2","key":"9728_CR13","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.neuron.2014.10.015","volume":"84","author":"VD Calhoun","year":"2014","unstructured":"Calhoun, V. D., Miller, R., Pearlson, G., & Adal\u0131, T. (2014). The chronnectome: Time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron, 84(2), 262\u2013274. https:\/\/doi.org\/10.1016\/j.neuron.2014.10.015","journal-title":"Neuron"},{"issue":"2","key":"9728_CR14","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1093\/schbul\/sbab112","volume":"48","author":"H Cao","year":"2022","unstructured":"Cao, H., Wei, X., Hu, N., Zhang, W., Xiao, Y., Zeng, J., Sweeney, J. A., Lencer, R., Lui, S., & Gong, Q. (2022). Cerebello-thalamo-cortical hyperconnectivity classifies patients and predicts long-term treatment outcome in first-episode schizophrenia. Schizophrenia Bulletin, 48(2), 505\u2013513. https:\/\/doi.org\/10.1093\/schbul\/sbab112","journal-title":"Schizophrenia Bulletin"},{"issue":"1","key":"9728_CR15","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.neuroimage.2009.12.011","volume":"50","author":"C Chang","year":"2010","unstructured":"Chang, C., & Glover, G. H. (2010). Time\u2013frequency dynamics of resting-state brain connectivity measured with fMRI. NeuroImage, 50(1), 81\u201398. https:\/\/doi.org\/10.1016\/j.neuroimage.2009.12.011","journal-title":"NeuroImage"},{"issue":"1","key":"9728_CR16","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1093\/schbul\/sbab090","volume":"48","author":"BA Clementz","year":"2022","unstructured":"Clementz, B. A., Parker, D. A., Trotti, R. L., McDowell, J. E., Keedy, S. K., Keshavan, M. S., Pearlson, G. D., Gershon, E. S., Ivleva, E. I., Huang, L.-Y., Hill, S. K., Sweeney, J. A., Thomas, O., Hudgens-Haney, M., Gibbons, R. D., & Tamminga, C. A. (2022). Psychosis biotypes: Replication and validation from the B-SNIP Consortium | Schizophrenia Bulletin | Oxford Academic. Schizophrenia Bulletin, 48(1), 56\u201368. https:\/\/doi.org\/10.1093\/schbul\/sbab090","journal-title":"Schizophrenia Bulletin"},{"issue":"5","key":"9728_CR17","doi-asserted-by":"publisher","first-page":"684","DOI":"10.1016\/j.mri.2006.10.017","volume":"25","author":"NM Correa","year":"2007","unstructured":"Correa, N. M., Adal\u0131, T., & Calhoun, V. D. (2007). Performance of blind source separation algorithms for fMRI analysis using a group ICA method. Magnetic Resonance Imaging, 25(5), 684\u2013694. https:\/\/doi.org\/10.1016\/j.mri.2006.10.017","journal-title":"Magnetic Resonance Imaging"},{"issue":"4","key":"9728_CR18","doi-asserted-by":"publisher","first-page":"1438","DOI":"10.1016\/j.neuroimage.2010.01.062","volume":"50","author":"NM Correa","year":"2010","unstructured":"Correa, N. M., Eichele, T., Adal\u0131, T., Li, Y.-O., & Calhoun, V. D. (2010). Multi-set canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI. NeuroImage, 50(4), 1438\u20131445. https:\/\/doi.org\/10.1016\/j.neuroimage.2010.01.062","journal-title":"NeuroImage"},{"issue":"2","key":"9728_CR19","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1177\/155005940803900209","volume":"39","author":"HC Cromwell","year":"2008","unstructured":"Cromwell, H. C., Mears, R. P., Wan, L., & Boutros, N. N. (2008). Sensory gating: A translational effort from basic to clinical science. Clinical EEG and Neuroscience, 39(2), 69\u201372. https:\/\/doi.org\/10.1177\/155005940803900209","journal-title":"Clinical EEG and Neuroscience"},{"key":"9728_CR20","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1016\/j.nicl.2014.07.003","volume":"5","author":"E Damaraju","year":"2014","unstructured":"Damaraju, E., Allen, E. A., Belger, A., Ford, J. M., McEwen, S., Mathalon, D. H., Mueller, B. A., Pearlson, G. D., Potkin, S. G., Preda, A., Turner, J. A., Vaidya, J. G., van Erp, T. G., & Calhoun, V. D. (2014). Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. NeuroImage. Clinical, 5, 298\u2013308. https:\/\/doi.org\/10.1016\/j.nicl.2014.07.003","journal-title":"NeuroImage. Clinical"},{"key":"9728_CR21","doi-asserted-by":"publisher","first-page":"103056","DOI":"10.1016\/j.nicl.2022.103056","volume":"35","author":"TP DeRamus","year":"2022","unstructured":"DeRamus, T. P., Wu, L., Qi, S., Iraji, A., Silva, R., Du, Y., Pearlson, G., Mayer, A., Bustillo, J. R., Stromberg, S. F., & Calhoun, V. D. (2022). Multimodal data fusion of cortical-subcortical morphology and functional network connectivity in psychotic spectrum disorder. NeuroImage. Clinical, 35, 103056. https:\/\/doi.org\/10.1016\/j.nicl.2022.103056","journal-title":"NeuroImage. Clinical"},{"issue":"1","key":"9728_CR22","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1093\/schbul\/sbx034","volume":"44","author":"D Dong","year":"2018","unstructured":"Dong, D., Wang, Y., Chang, X., Luo, C., & Yao, D. (2018). Dysfunction of large-scale brain networks in schizophrenia: A meta-analysis of resting-state functional connectivity. Schizophrenia Bulletin, 44(1), 168\u2013181. https:\/\/doi.org\/10.1093\/schbul\/sbx034","journal-title":"Schizophrenia Bulletin"},{"key":"9728_CR23","doi-asserted-by":"publisher","first-page":"102375","DOI":"10.1016\/j.nicl.2020.102375","volume":"28","author":"Y Du","year":"2020","unstructured":"Du, Y., Fu, Z., Sui, J., Gao, S., Xing, Y., Lin, D., Salman, M., Abrol, A., Rahaman, M. A., Chen, J., Hong, L. E., Kochunov, P., Osuch, E. A., Calhoun, V. D., Alzheimer\u2019s Disease Neuroimaging Initiative. (2020). NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders. NeuroImage. Clinical, 28, 102375. https:\/\/doi.org\/10.1016\/j.nicl.2020.102375","journal-title":"NeuroImage. Clinical"},{"key":"9728_CR24","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.pscychresns.2017.09.011","volume":"270","author":"B Erdeniz","year":"2017","unstructured":"Erdeniz, B., Serin, E., \u0130badi, Y., & Ta\u015f, C. (2017). Decreased functional connectivity in schizophrenia: The relationship between social functioning, social cognition and graph theoretical network measures. Psychiatry Research: Neuroimaging, 270, 22\u201331. https:\/\/doi.org\/10.1016\/j.pscychresns.2017.09.011","journal-title":"Psychiatry Research: Neuroimaging"},{"issue":"1","key":"9728_CR25","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1162\/netn_a_00155","volume":"5","author":"A Faghiri","year":"2021","unstructured":"Faghiri, A., Iraji, A., Damaraju, E., Turner, J., & Calhoun, V. D. (2021). A unified approach for characterizing static\/dynamic connectivity frequency profiles using filter banks. Network Neuroscience, 5(1), 56\u201382. https:\/\/doi.org\/10.1162\/netn_a_00155","journal-title":"Network Neuroscience"},{"key":"9728_CR26","doi-asserted-by":"publisher","unstructured":"Ferri, J., Ford, J. M., Roach, B. J., Turner, J. A., van Erp, T. G., Voyvodic, J., Preda, A., Belger, A., Bustillo, J., O\u2019Leary, D., Mueller, B. A., Lim, K. O., McEwen, S. C., Calhoun, V. D., Diaz, M., Glover, G., Greve, D., Wible, C. G., Vaidya, J. G., \u2026 Mathalon, D. H. (2018). Resting-state thalamic dysconnectivity in schizophrenia and relationships with symptoms. Psychological Medicine, 48(15), 2492\u20132499. https:\/\/doi.org\/10.1017\/S003329171800003X","DOI":"10.1017\/S003329171800003X"},{"issue":"4","key":"9728_CR27","doi-asserted-by":"publisher","first-page":"2296","DOI":"10.1016\/j.neuroimage.2011.12.090","volume":"62","author":"A Fornito","year":"2012","unstructured":"Fornito, A., Zalesky, A., Pantelis, C., & Bullmore, E. T. (2012). Schizophrenia, neuroimaging and connectomics. NeuroImage, 62(4), 2296\u20132314. https:\/\/doi.org\/10.1016\/j.neuroimage.2011.12.090","journal-title":"NeuroImage"},{"issue":"2","key":"9728_CR28","first-page":"89","volume":"3","author":"KJ Friston","year":"1995","unstructured":"Friston, K. J., & Frith, C. D. (1995). Schizophrenia: A disconnection syndrome? Clinical Neuroscience (New York, N.Y.), 3(2), 89\u201397.","journal-title":"Clinical Neuroscience (New York, N.Y.)"},{"issue":"Pt B","key":"9728_CR29","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1016\/j.neuroimage.2017.09.035","volume":"180","author":"Z Fu","year":"2018","unstructured":"Fu, Z., Tu, Y., Di, X., Du, Y., Pearlson, G. D., Turner, J. A., Biswal, B. B., Zhang, Z., & Calhoun, V. D. (2018). Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia. NeuroImage, 180(Pt B), 619\u2013631. https:\/\/doi.org\/10.1016\/j.neuroimage.2017.09.035","journal-title":"NeuroImage"},{"key":"9728_CR30","doi-asserted-by":"publisher","first-page":"117385","DOI":"10.1016\/j.neuroimage.2020.117385","volume":"224","author":"Z Fu","year":"2021","unstructured":"Fu, Z., Iraji, A., Turner, J. A., Sui, J., Miller, R., Pearlson, G. D., & Calhoun, V. D. (2021). Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia. NeuroImage, 224, 117385. https:\/\/doi.org\/10.1016\/j.neuroimage.2020.117385","journal-title":"NeuroImage"},{"issue":"3","key":"9728_CR31","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1176\/ajp.2007.164.3.450","volume":"164","author":"AG Garrity","year":"2007","unstructured":"Garrity, A. G., Pearlson, G. D., McKiernan, K., Lloyd, D., Kiehl, K. A., & Calhoun, V. D. (2007). Aberrant \u201cdefault mode\u201d functional connectivity in schizophrenia. The American Journal of Psychiatry, 164(3), 450\u2013457. https:\/\/doi.org\/10.1176\/ajp.2007.164.3.450","journal-title":"The American Journal of Psychiatry"},{"issue":"3","key":"9728_CR32","doi-asserted-by":"publisher","first-page":"2198","DOI":"10.1016\/j.neuroimage.2010.09.073","volume":"54","author":"AR Groves","year":"2011","unstructured":"Groves, A. R., Beckmann, C. F., Smith, S. M., & Woolrich, M. W. (2011). Linked independent component analysis for multimodal data fusion. NeuroImage, 54(3), 2198\u20132217. https:\/\/doi.org\/10.1016\/j.neuroimage.2010.09.073","journal-title":"NeuroImage"},{"key":"9728_CR33","doi-asserted-by":"publisher","first-page":"179","DOI":"10.3389\/fpsyt.2017.00179","volume":"8","author":"CN Gupta","year":"2017","unstructured":"Gupta, C. N., Castro, E., Rachkonda, S., van Erp, T. G. M., Potkin, S., Ford, J. M., Mathalon, D., Lee, H. J., Mueller, B. A., Greve, D. N., Andreassen, O. A., Agartz, I., Mayer, A. R., Stephen, J., Jung, R. E., Bustillo, J., Calhoun, V. D., & Turner, J. A. (2017). Biclustered independent component analysis for complex biomarker and subtype identification from structural magnetic resonance images in schizophrenia. Frontiers in Psychiatry, 8, 179. https:\/\/doi.org\/10.3389\/fpsyt.2017.00179","journal-title":"Frontiers in Psychiatry"},{"key":"9728_CR34","doi-asserted-by":"publisher","unstructured":"Gupta, C. N., Calhoun, V. D., Rachakonda, S., Chen, J., Patel, V., Liu, J., Segall, J., Franke, B., Zwiers, M. P., Arias-Vasquez, A., Buitelaar, J., Fisher, S. E., Fernandez, G., van Erp, T. G. M., Potkin, S., Ford, J., Mathalon, D., McEwen, S., Lee, H. J., \u2026 Turner, J. A. (2015). Patterns of gray matter abnormalities in schizophrenia based on an international mega-analysis. Schizophrenia Bulletin, 41(5), 1133\u20131142. https:\/\/doi.org\/10.1093\/schbul\/sbu177","DOI":"10.1093\/schbul\/sbu177"},{"issue":"2","key":"9728_CR35","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1002\/hbm.24391","volume":"40","author":"H He","year":"2018","unstructured":"He, H., Luo, C., Luo, Y., Duan, M., Yi, Q., Biswal, B. B., & Yao, D. (2018). Reduction in gray matter of cerebellum in schizophrenia and its influence on static and dynamic connectivity. Human Brain Mapping, 40(2), 517\u2013528. https:\/\/doi.org\/10.1002\/hbm.24391","journal-title":"Human Brain Mapping"},{"key":"9728_CR36","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1016\/j.neuroimage.2015.11.055","volume":"127","author":"R Hindriks","year":"2016","unstructured":"Hindriks, R., Adhikari, M. H., Murayama, Y., Ganzetti, M., Mantini, D., Logothetis, N. K., & Deco, G. (2016). Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? NeuroImage, 127, 242\u2013256. https:\/\/doi.org\/10.1016\/j.neuroimage.2015.11.055","journal-title":"NeuroImage"},{"key":"9728_CR37","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1016\/j.neuroimage.2013.05.079","volume":"80","author":"RM Hutchison","year":"2013","unstructured":"Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., Handwerker, D. A., Keilholz, S., Kiviniemi, V., Leopold, D. A., de Pasquale, F., Sporns, O., Walter, M., & Chang, C. (2013). Dynamic functional connectivity: Promise, issues, and interpretations. NeuroImage, 80, 360\u2013378. https:\/\/doi.org\/10.1016\/j.neuroimage.2013.05.079","journal-title":"NeuroImage"},{"issue":"8","key":"9728_CR38","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1093\/scan\/nsaa114","volume":"16","author":"A Iraji","year":"2021","unstructured":"Iraji, A., Faghiri, A., Lewis, N., Fu, Z., Rachakonda, S., & Calhoun, V. D. (2021). Tools of the trade: Estimating time-varying connectivity patterns from fMRI data. Social Cognitive and Affective Neuroscience, 16(8), 849\u2013874. https:\/\/doi.org\/10.1093\/scan\/nsaa114","journal-title":"Social Cognitive and Affective Neuroscience"},{"issue":"6","key":"9728_CR39","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1093\/schbul\/sbp110","volume":"35","author":"DC Javitt","year":"2009","unstructured":"Javitt, D. C. (2009). Sensory processing in schizophrenia: Neither simple nor intact. Schizophrenia Bulletin, 35(6), 1059\u20131064. https:\/\/doi.org\/10.1093\/schbul\/sbp110","journal-title":"Schizophrenia Bulletin"},{"key":"9728_CR40","doi-asserted-by":"publisher","unstructured":"Keator, D. B., van Erp, T. G. M., Turner, J. A., Glover, G. H., Mueller, B. A., Liu, T. T., Voyvodic, J. T., Rasmussen, J., Calhoun, V. D., Lee, H. J., Toga, A. W., McEwen, S., Ford, J. M., Mathalon, D. H., Diaz, M., O\u2019Leary, D. S., Jeremy Bockholt, H., Gadde, S., Preda, A., \u2026 FBIRN. (2016). The Function Biomedical Informatics Research Network Data Repository. NeuroImage, 124(Pt B), 1074\u20131079. https:\/\/doi.org\/10.1016\/j.neuroimage.2015.09.003","DOI":"10.1016\/j.neuroimage.2015.09.003"},{"key":"9728_CR41","doi-asserted-by":"publisher","unstructured":"Khavari, B., & Cairns, M. J. (2020). Epigenomic Dysregulation in Schizophrenia: In Search of Disease Etiology and Biomarkers. Cells, 9(8), Article 8. https:\/\/doi.org\/10.3390\/cells9081837","DOI":"10.3390\/cells9081837"},{"issue":"6","key":"9728_CR42","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1176\/appi.ajp.2020.20030340","volume":"178","author":"NV Kraguljac","year":"2021","unstructured":"Kraguljac, N. V., McDonald, W. M., Widge, A. S., Rodriguez, C. I., Tohen, M., & Nemeroff, C. B. (2021). Neuroimaging biomarkers in schizophrenia. American Journal of Psychiatry, 178(6), 509\u2013521.","journal-title":"American Journal of Psychiatry"},{"key":"9728_CR43","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1016\/j.neuroimage.2014.09.007","volume":"104","author":"N Leonardi","year":"2015","unstructured":"Leonardi, N., & Van De Ville, D. (2015). On spurious and real fluctuations of dynamic functional connectivity during rest. NeuroImage, 104, 430\u2013436. https:\/\/doi.org\/10.1016\/j.neuroimage.2014.09.007","journal-title":"NeuroImage"},{"issue":"2","key":"9728_CR44","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1097\/01.wnr.0000198434.06518.b8","volume":"17","author":"M Liang","year":"2006","unstructured":"Liang, M., Zhou, Y., Jiang, T., Liu, Z., Tian, L., Liu, H., & Hao, Y. (2006). Widespread functional disconnectivity in schizophrenia with resting-state functional magnetic resonance imaging. NeuroReport, 17(2), 209\u2013213. https:\/\/doi.org\/10.1097\/01.wnr.0000198434.06518.b8","journal-title":"NeuroReport"},{"issue":"1","key":"9728_CR45","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1002\/hbm.20508","volume":"30","author":"J Liu","year":"2009","unstructured":"Liu, J., Pearlson, G., Windemuth, A., Ruano, G., Perrone-Bizzozero, N. I., & Calhoun, V. (2009). Combining fMRI and SNP data to investigate connections between brain function and genetics using parallel ICA. Human Brain Mapping, 30(1), 241\u2013255. https:\/\/doi.org\/10.1002\/hbm.20508","journal-title":"Human Brain Mapping"},{"issue":"4","key":"9728_CR46","doi-asserted-by":"publisher","first-page":"1475","DOI":"10.1002\/hbm.23906","volume":"39","author":"KK Lottman","year":"2018","unstructured":"Lottman, K. K., White, D. M., Kraguljac, N. V., Reid, M. A., Calhoun, V. D., Catao, F., & Lahti, A. C. (2018). Four-way multimodal fusion of 7 T imaging data using an mCCA+jICA model in first-episode schizophrenia. Human Brain Mapping, 39(4), 1475\u20131488. https:\/\/doi.org\/10.1002\/hbm.23906","journal-title":"Human Brain Mapping"},{"issue":"28","key":"9728_CR47","doi-asserted-by":"publisher","first-page":"9477","DOI":"10.1523\/JNEUROSCI.0333-10.2010","volume":"30","author":"M-E Lynall","year":"2010","unstructured":"Lynall, M.-E., Bassett, D. S., Kerwin, R., McKenna, P. J., Kitzbichler, M., Muller, U., & Bullmore, E. (2010). Functional connectivity and brain networks in schizophrenia. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 30(28), 9477\u20139487. https:\/\/doi.org\/10.1523\/JNEUROSCI.0333-10.2010","journal-title":"The Journal of Neuroscience: The Official Journal of the Society for Neuroscience"},{"issue":"3","key":"9728_CR48","doi-asserted-by":"publisher","first-page":"1023","DOI":"10.1016\/j.neuroimage.2004.03.038","volume":"22","author":"E Mart\u00ednez-Montes","year":"2004","unstructured":"Mart\u00ednez-Montes, E., Vald\u00e9s-Sosa, P. A., Miwakeichi, F., Goldman, R. I., & Cohen, M. S. (2004). Concurrent EEG\/fMRI analysis by multiway Partial Least Squares. NeuroImage, 22(3), 1023\u20131034. https:\/\/doi.org\/10.1016\/j.neuroimage.2004.03.038","journal-title":"NeuroImage"},{"issue":"10","key":"9728_CR49","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1016\/j.biopsych.2012.01.025","volume":"71","author":"SA Meda","year":"2012","unstructured":"Meda, S. A., Gill, A., Stevens, M. C., Lorenzoni, R. P., Glahn, D. C., Calhoun, V. D., Sweeney, J. A., Tamminga, C. A., Keshavan, M. S., Thaker, G., & Pearlson, G. D. (2012). Differences in resting-state functional magnetic resonance imaging functional network connectivity between schizophrenia and psychotic bipolar probands and their unaffected first-degree relatives. Biological Psychiatry, 71(10), 881\u2013889. https:\/\/doi.org\/10.1016\/j.biopsych.2012.01.025","journal-title":"Biological Psychiatry"},{"issue":"6","key":"9728_CR50","doi-asserted-by":"publisher","first-page":"5075","DOI":"10.1007\/s12035-017-0708-y","volume":"55","author":"B Misiak","year":"2018","unstructured":"Misiak, B., Stramecki, F., Gaw\u0119da, \u0141, Prochwicz, K., S\u0105siadek, M. M., Moustafa, A. A., & Frydecka, D. (2018). Interactions between variation in candidate genes and environmental factors in the etiology of schizophrenia and bipolar disorder: A systematic review. Molecular Neurobiology, 55(6), 5075\u20135100. https:\/\/doi.org\/10.1007\/s12035-017-0708-y","journal-title":"Molecular Neurobiology"},{"issue":"4","key":"9728_CR51","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1093\/schbul\/sbr056","volume":"37","author":"LV Moran","year":"2011","unstructured":"Moran, L. V., & Hong, L. E. (2011). High vs low frequency neural oscillations in schizophrenia. Schizophrenia Bulletin, 37(4), 659\u2013663. https:\/\/doi.org\/10.1093\/schbul\/sbr056","journal-title":"Schizophrenia Bulletin"},{"key":"9728_CR52","volume-title":"Discrete-Time Signal Processing","author":"AV Oppenheim","year":"2010","unstructured":"Oppenheim, A. V., & Schafer, R. W. (2010). Discrete-Time Signal Processing (3rd ed.). Pearson.","edition":"3"},{"issue":"3","key":"9728_CR53","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1007\/s11065-009-9114-1","volume":"19","author":"C Pantelis","year":"2009","unstructured":"Pantelis, C., Y\u00fccel, M., Bora, E., Fornito, A., Testa, R., Brewer, W. J., Velakoulis, D., & Wood, S. J. (2009). Neurobiological markers of illness onset in psychosis and schizophrenia: The search for a moving target. Neuropsychology Review, 19(3), 385. https:\/\/doi.org\/10.1007\/s11065-009-9114-1","journal-title":"Neuropsychology Review"},{"key":"9728_CR54","unstructured":"Penny, W. D., Friston, K. J., Ashburner, J. T., Kiebel, S. J., & Nichols, T. E. (Eds.). (2011). Statistical parametric mapping: the analysis of functional brain images. Elsevier."},{"issue":"2","key":"9728_CR55","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1177\/0269881114566631","volume":"29","author":"BS Pickard","year":"2015","unstructured":"Pickard, B. S. (2015). Schizophrenia biomarkers: Translating the descriptive into the diagnostic. Journal of Psychopharmacology (Oxford, England), 29(2), 138\u2013143. https:\/\/doi.org\/10.1177\/0269881114566631","journal-title":"Journal of Psychopharmacology (Oxford, England)"},{"key":"9728_CR56","unstructured":"Rabiner, L. R., & Gold, B. (1975). Theory and application of digital signal processing. In Englewood Cliffs: Prentice-Hall. https:\/\/ui.adsabs.harvard.edu\/abs\/1975tads.book.....R"},{"issue":"9","key":"9728_CR57","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1176\/appi.ajp.2014.13091196","volume":"171","author":"N Revheim","year":"2014","unstructured":"Revheim, N., Corcoran, C. M., Dias, E., Hellmann, E., Martinez, A., Butler, P. D., Lehrfeld, J. M., DiCostanzo, J., Albert, J., & Javitt, D. C. (2014). Reading deficits in schizophrenia and individuals at high clinical risk: Relationship to sensory function, course of illness, and psychosocial outcome. The American Journal of Psychiatry, 171(9), 949\u2013959. https:\/\/doi.org\/10.1176\/appi.ajp.2014.13091196","journal-title":"The American Journal of Psychiatry"},{"key":"9728_CR58","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/b978-0-7020-5307-8.00011-9","volume":"62","author":"BJ Roach","year":"2013","unstructured":"Roach, B. J., Ford, J. M., Hoffman, R. E., & Mathalon, D. H. (2013). Converging evidence for gamma synchrony deficits in schizophrenia. Supplements to Clinical Neurophysiology, 62, 163\u2013180. https:\/\/doi.org\/10.1016\/b978-0-7020-5307-8.00011-9","journal-title":"Supplements to Clinical Neurophysiology"},{"key":"9728_CR59","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.jpsychires.2017.05.009","volume":"93","author":"D Rodrigues-Amorim","year":"2017","unstructured":"Rodrigues-Amorim, D., Rivera-Baltan\u00e1s, T., L\u00f3pez, M., Spuch, C., Olivares, J. M., & Ag\u00eds-Balboa, R. C. (2017). Schizophrenia: A review of potential biomarkers. Journal of Psychiatric Research, 93, 37\u201349. https:\/\/doi.org\/10.1016\/j.jpsychires.2017.05.009","journal-title":"Journal of Psychiatric Research"},{"issue":"5\u20136","key":"9728_CR60","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., Wang, Y. M., Michael, A. M., & Calhoun, V. D. (2010). A method for evaluating dynamic functional network connectivity and task-modulation: Application to schizophrenia. Magma (New York, N.Y.), 23(5\u20136), 351\u2013366. https:\/\/doi.org\/10.1007\/s10334-010-0197-8","journal-title":"Magma (New York, N.Y.)"},{"issue":"2","key":"9728_CR61","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1109\/TBME.2017.2762763","volume":"65","author":"S Shakil","year":"2018","unstructured":"Shakil, S., Billings, J. C., Keilholz, S. D., & Lee, C.-H. (2018). Parametric Dependencies of Sliding Window Correlation. IEEE Transactions on Bio-Medical Engineering, 65(2), 254\u2013263. https:\/\/doi.org\/10.1109\/TBME.2017.2762763","journal-title":"IEEE Transactions on Bio-Medical Engineering"},{"key":"9728_CR62","doi-asserted-by":"publisher","first-page":"134","DOI":"10.3389\/fnhum.2015.00134","volume":"9","author":"AK Shinn","year":"2015","unstructured":"Shinn, A. K., Baker, J. T., Lewandowski, K. E., \u00d6ng\u00fcr, D., & Cohen, B. M. (2015). Aberrant cerebellar connectivity in motor and association networks in schizophrenia. Frontiers in Human Neuroscience, 9, 134. https:\/\/doi.org\/10.3389\/fnhum.2015.00134","journal-title":"Frontiers in Human Neuroscience"},{"issue":"4","key":"9728_CR63","doi-asserted-by":"publisher","first-page":"914","DOI":"10.1093\/schbul\/sbw145","volume":"43","author":"KC Sk\u00e5tun","year":"2017","unstructured":"Sk\u00e5tun, K. C., Kaufmann, T., Doan, N. T., Aln\u00e6s, D., C\u00f3rdova-Palomera, A., J\u00f6nsson, E. G., Fatouros-Bergman, H., Flyckt, L., KaSP, Melle, I., Andreassen, O. A., Agartz, I., & Westlye, L. T. (2017). Consistent functional connectivity alterations in schizophrenia spectrum disorder: A multisite study. Schizophrenia Bulletin, 43(4), 914\u2013924. https:\/\/doi.org\/10.1093\/schbul\/sbw145","journal-title":"Schizophrenia Bulletin"},{"issue":"3","key":"9728_CR64","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1007\/s11682-017-9714-y","volume":"12","author":"KC Sk\u00e5tun","year":"2018","unstructured":"Sk\u00e5tun, K. C., Kaufmann, T., Brandt, C. L., Doan, N. T., Aln\u00e6s, D., T\u00f8nnesen, S., Biele, G., Vaskinn, A., Melle, I., Agartz, I., Andreassen, O. A., & Westlye, L. T. (2018). Thalamo-cortical functional connectivity in schizophrenia and bipolar disorder. Brain Imaging and Behavior, 12(3), 640\u2013652. https:\/\/doi.org\/10.1007\/s11682-017-9714-y","journal-title":"Brain Imaging and Behavior"},{"issue":"1","key":"9728_CR65","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.biopsych.2010.03.035","volume":"68","author":"P Skudlarski","year":"2010","unstructured":"Skudlarski, P., Jagannathan, K., Anderson, K., Stevens, M. C., Calhoun, V. D., Skudlarska, B. A., & Pearlson, G. (2010). Brain connectivity is not only lower but different in schizophrenia: A combined anatomical and functional approach. Biological Psychiatry, 68(1), 61\u201369. https:\/\/doi.org\/10.1016\/j.biopsych.2010.03.035","journal-title":"Biological Psychiatry"},{"issue":"9","key":"9728_CR66","doi-asserted-by":"publisher","first-page":"2953","DOI":"10.1002\/hbm.20721","volume":"30","author":"J Sui","year":"2009","unstructured":"Sui, J., Adali, T., Pearlson, G. D., Clark, V. P., & Calhoun, V. D. (2009). A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework. Human Brain Mapping, 30(9), 2953\u20132970. https:\/\/doi.org\/10.1002\/hbm.20721","journal-title":"Human Brain Mapping"},{"issue":"3","key":"9728_CR67","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1016\/j.neuroimage.2011.05.055","volume":"57","author":"J Sui","year":"2011","unstructured":"Sui, J., Pearlson, G., Caprihan, A., Adali, T., Kiehl, K. A., Liu, J., Yamamoto, J., & Calhoun, V. D. (2011). Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model. NeuroImage, 57(3), 839\u2013855. https:\/\/doi.org\/10.1016\/j.neuroimage.2011.05.055","journal-title":"NeuroImage"},{"issue":"1","key":"9728_CR68","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.jneumeth.2011.10.031","volume":"204","author":"J Sui","year":"2012","unstructured":"Sui, J., Adali, T., Yu, Q., Chen, J., & Calhoun, V. D. (2012). A review of multivariate methods for multimodal fusion of brain imaging data. Journal of Neuroscience Methods, 204(1), 68\u201381. https:\/\/doi.org\/10.1016\/j.jneumeth.2011.10.031","journal-title":"Journal of Neuroscience Methods"},{"key":"9728_CR69","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.neuroimage.2012.10.051","volume":"66","author":"J Sui","year":"2013","unstructured":"Sui, J., He, H., Pearlson, G. D., Adali, T., Kiehl, K. A., Yu, Q., Clark, V. P., Castro, E., White, T., Mueller, B. A., Ho, B. C., Andreasen, N. C., & Calhoun, V. D. (2013). Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia. NeuroImage, 66, 119\u2013132. https:\/\/doi.org\/10.1016\/j.neuroimage.2012.10.051","journal-title":"NeuroImage"},{"key":"9728_CR70","doi-asserted-by":"publisher","first-page":"621","DOI":"10.3389\/fpsyg.2013.00621","volume":"4","author":"H-RM Tan","year":"2013","unstructured":"Tan, H.-R.M., Lana, L., & Uhlhaas, P. J. (2013). High-frequency neural oscillations and visual processing deficits in schizophrenia. Frontiers in Psychology, 4, 621. https:\/\/doi.org\/10.3389\/fpsyg.2013.00621","journal-title":"Frontiers in Psychology"},{"key":"9728_CR71","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/j.neuroimage.2015.07.022","volume":"121","author":"WH Thompson","year":"2015","unstructured":"Thompson, W. H., & Fransson, P. (2015). The frequency dimension of fMRI dynamic connectivity: Network connectivity, functional hubs and integration in the resting brain. NeuroImage, 121, 227\u2013242. https:\/\/doi.org\/10.1016\/j.neuroimage.2015.07.022","journal-title":"NeuroImage"},{"key":"9728_CR72","doi-asserted-by":"publisher","first-page":"137","DOI":"10.3389\/fnins.2013.00137","volume":"7","author":"JA Turner","year":"2013","unstructured":"Turner, J. A., Damaraju, E., van Erp, T. G. M., Mathalon, D. H., Ford, J. M., Voyvodic, J., Mueller, B. A., Belger, A., Bustillo, J., McEwen, S., Potkin, S. G., Fbirn, & Calhoun, V. D. (2013). A multi-site resting state fMRI study on the amplitude of low frequency fluctuations in schizophrenia. Frontiers in Neuroscience, 7, 137. https:\/\/doi.org\/10.3389\/fnins.2013.00137","journal-title":"Frontiers in Neuroscience"},{"issue":"3","key":"9728_CR73","doi-asserted-by":"publisher","first-page":"301","DOI":"10.31887\/DCNS.2013.15.3\/puhlhaas","volume":"15","author":"PJ Uhlhaas","year":"2013","unstructured":"Uhlhaas, P. J., & Singer, W. (2013). High-frequency oscillations and the neurobiology of schizophrenia. Dialogues in Clinical Neuroscience, 15(3), 301\u2013313. https:\/\/doi.org\/10.31887\/DCNS.2013.15.3\/puhlhaas","journal-title":"Dialogues in Clinical Neuroscience"},{"issue":"4","key":"9728_CR74","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1093\/schbul\/sbn145","volume":"36","author":"RC Welsh","year":"2010","unstructured":"Welsh, R. C., Chen, A. C., & Taylor, S. F. (2010). Low-frequency BOLD fluctuations demonstrate altered thalamocortical connectivity in schizophrenia. Schizophrenia Bulletin, 36(4), 713\u2013722. https:\/\/doi.org\/10.1093\/schbul\/sbn145","journal-title":"Schizophrenia Bulletin"},{"key":"9728_CR75","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.neuroimage.2015.07.002","volume":"120","author":"M Yaesoubi","year":"2015","unstructured":"Yaesoubi, M., Allen, E. A., Miller, R. L., & Calhoun, V. D. (2015). Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information. NeuroImage, 120, 133\u2013142. https:\/\/doi.org\/10.1016\/j.neuroimage.2015.07.002","journal-title":"NeuroImage"},{"key":"9728_CR76","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1016\/j.nicl.2017.06.023","volume":"15","author":"M Yaesoubi","year":"2017","unstructured":"Yaesoubi, M., Miller, R. L., Bustillo, J., Lim, K. O., Vaidya, J., & Calhoun, V. D. (2017). A joint time-frequency analysis of resting-state functional connectivity reveals novel patterns of connectivity shared between or unique to schizophrenia patients and healthy controls. NeuroImage. Clinical, 15, 761\u2013768. https:\/\/doi.org\/10.1016\/j.nicl.2017.06.023","journal-title":"NeuroImage. Clinical"},{"issue":"1","key":"9728_CR77","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/s11682-011-9138-z","volume":"6","author":"D Zhang","year":"2012","unstructured":"Zhang, D., Guo, L., Hu, X., Li, K., Zhao, Q., & Liu, T. (2012). Increased cortico-subcortical functional connectivity in schizophrenia. Brain Imaging and Behavior, 6(1), 27\u201335. https:\/\/doi.org\/10.1007\/s11682-011-9138-z","journal-title":"Brain Imaging and Behavior"},{"issue":"1","key":"9728_CR78","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1007\/s11682-019-00233-1","volume":"15","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Yang, R., & Cai, X. (2021). Frequency-specific alternations in the moment-to-moment BOLD signals variability in schizophrenia. Brain Imaging and Behavior, 15(1), 68\u201375. https:\/\/doi.org\/10.1007\/s11682-019-00233-1","journal-title":"Brain Imaging and Behavior"},{"issue":"9","key":"9728_CR79","doi-asserted-by":"publisher","first-page":"2263","DOI":"10.1109\/TMI.2022.3161828","volume":"41","author":"Y Zhang","year":"2022","unstructured":"Zhang, Y., Zhang, H., Xiao, L., Bai, Y., Calhoun, V. D., & Wang, Y.-P. (2022). Multi-modal imaging genetics data fusion via a hypergraph-based manifold regularization: Application to schizophrenia study. IEEE Transactions on Medical Imaging, 41(9), 2263\u20132272. https:\/\/doi.org\/10.1109\/TMI.2022.3161828","journal-title":"IEEE Transactions on Medical Imaging"}],"container-title":["Neuroinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-025-09728-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12021-025-09728-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-025-09728-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T12:14:46Z","timestamp":1757160886000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12021-025-09728-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,26]]},"references-count":79,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,4]]}},"alternative-id":["9728"],"URL":"https:\/\/doi.org\/10.1007\/s12021-025-09728-3","relation":{},"ISSN":["1559-0089"],"issn-type":[{"value":"1559-0089","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,26]]},"assertion":[{"value":"14 April 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 April 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":"Informed consent was obtained from each participant prior to MRI scanning and all studies were approved by the Institutional Review Boards of institutions involved in data collection (Keator et al., ).","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"31"}}