{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T16:01:11Z","timestamp":1785427271631,"version":"3.56.0"},"reference-count":68,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T00:00:00Z","timestamp":1755043200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T00:00:00Z","timestamp":1755043200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004504","name":"Lietuvos Mokslo Taryba","doi-asserted-by":"publisher","award":["S-SEN-20-15"],"award-info":[{"award-number":["S-SEN-20-15"]}],"id":[{"id":"10.13039\/501100004504","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004504","name":"Lietuvos Mokslo Taryba","doi-asserted-by":"publisher","award":["2024-PRO-00148\/ P-LZ-24-6, 2025\u20132026."],"award-info":[{"award-number":["2024-PRO-00148\/ P-LZ-24-6, 2025\u20132026."]}],"id":[{"id":"10.13039\/501100004504","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging. Inform. med."],"DOI":"10.1007\/s10278-025-01616-1","type":"journal-article","created":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T20:45:09Z","timestamp":1755117909000},"page":"2440-2455","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Machine Learning-Driven Radiomic Profiling of Thalamus-Amygdala Nuclei for Prediction of Postoperative Delirium After STN-DBS in Parkinson\u2019s Disease Patients: A Pilot Study"],"prefix":"10.1007","volume":"39","author":[{"given":"Andrius","family":"Radziunas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gustavas","family":"Davidavicius","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karolina","family":"Reinyte","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aiste","family":"Pranckeviciene","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Augustinas","family":"Fedaravicius","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vytautas","family":"Kucinskas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ovidijus","family":"Laucius","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arimantas","family":"Tamasauskas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vytenis","family":"Deltuva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2768-3334","authenticated-orcid":false,"given":"Ausra","family":"Saudargiene","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,8,13]]},"reference":[{"key":"1616_CR1","doi-asserted-by":"publisher","unstructured":"Savica R, Grossardt BR, Bower JH, Ahlskog JE, Rocca WA. Time Trends in the Incidence of Parkinson\u2019s Disease: a 30-year Study. JAMA neurology. 2016 Aug;73(8):981. https:\/\/doi.org\/10.1001\/jamaneurol.2016.0947.","DOI":"10.1001\/jamaneurol.2016.0947"},{"key":"1616_CR2","doi-asserted-by":"publisher","unstructured":"Willis AW, Roberts E, Beck JC, Fiske B, Ross W, Savica R, et\u00a0al. Incidence of Parkinson disease in North America. NPJ Parkinson\u2019s disease. 2022 Dec;8(1):170. https:\/\/doi.org\/10.1038\/s41531-022-00410-y.","DOI":"10.1038\/s41531-022-00410-y"},{"key":"1616_CR3","doi-asserted-by":"publisher","unstructured":"Yang W, Hamilton JL, Kopil C, Beck JC, Tanner CM, Albin RL, et\u00a0al. Current and projected future economic burden of Parkinson\u2019s disease in the U.S. NPJ Parkinson\u2019s disease. 2020;6:15. https:\/\/doi.org\/10.1038\/s41531-020-0117-1.","DOI":"10.1038\/s41531-020-0117-1"},{"issue":"Suppl 1","key":"1616_CR4","doi-asserted-by":"publisher","first-page":"S3","DOI":"10.3233\/JPD-181474","volume":"8","author":"ER Dorsey","year":"2018","unstructured":"Dorsey ER, Sherer T, Okun MS, Bloem BR. The Emerging Evidence of the Parkinson Pandemic. Journal of Parkinson\u2019s Disease. 2018 Dec;8(Suppl 1):S3. https:\/\/doi.org\/10.3233\/JPD-181474.","journal-title":"Journal of Parkinson\u2019s Disease."},{"key":"1616_CR5","doi-asserted-by":"publisher","unstructured":"Rughani A, Schwalb JM, Sidiropoulos C, Pilitsis J, Ramirez-Zamora A, Sweet JA, et\u00a0al. Congress of Neurological Surgeons Systematic Review and Evidence-Based Guideline on Subthalamic Nucleus and Globus Pallidus Internus Deep Brain Stimulation for the Treatment of Patients With Parkinson\u2019s Disease: Executive Summary. Neurosurgery. 2018 Jun;82(6):753\u2013756. https:\/\/doi.org\/10.1093\/neuros\/nyy037.","DOI":"10.1093\/neuros\/nyy037"},{"key":"1616_CR6","doi-asserted-by":"publisher","unstructured":"Hacker ML, Turchan M, Heusinkveld LE, Currie AD, Millan SH, Molinari AL, et\u00a0al. Deep brain stimulation in early-stage Parkinson disease: Five-year outcomes. Neurology. 2020 Jul;95(4):e393\u2013e401. https:\/\/doi.org\/10.1212\/WNL.0000000000009946.","DOI":"10.1212\/WNL.0000000000009946"},{"key":"1616_CR7","doi-asserted-by":"publisher","unstructured":"Limousin P, Foltynie T. Long-term outcomes of deep brain stimulation in Parkinson disease. Nature Reviews Neurology. 2019 Apr;15(4):234\u2013242. https:\/\/doi.org\/10.1038\/s41582-019-0145-9.","DOI":"10.1038\/s41582-019-0145-9"},{"key":"1616_CR8","doi-asserted-by":"publisher","unstructured":"Thobois S, Ardouin C, Lhomm\u00e9e E, Klinger H, Lagrange C, Xie J, et\u00a0al. Non-motor dopamine withdrawal syndrome after surgery for Parkinson\u2019s disease: Predictors and underlying mesolimbic denervation. Brain : a journal of neurology. 2010 Mar;133:1111\u201327. https:\/\/doi.org\/10.1093\/brain\/awq032.","DOI":"10.1093\/brain\/awq032"},{"key":"1616_CR9","doi-asserted-by":"publisher","unstructured":"Somma T, Esposito F, Scala MR, Scelzo A, Baiano C, Patti S, et\u00a0al. Psychiatric Symptoms in Parkinson\u2019s Disease Patients before and One Year after Subthalamic Nucleus Deep Brain Stimulation Therapy: Role of Lead Positioning and Not of Total Electrical Energy Delivered. Journal of Personalized Medicine. 2022 Oct;12(10):1643. https:\/\/doi.org\/10.3390\/jpm12101643.","DOI":"10.3390\/jpm12101643"},{"key":"1616_CR10","doi-asserted-by":"publisher","unstructured":"Accolla EA, Pollo C. Mood Effects After Deep Brain Stimulation for Parkinson\u2019s Disease: An Update. Frontiers in Neurology. 2019 Jun;10. https:\/\/doi.org\/10.3389\/fneur.2019.00617.","DOI":"10.3389\/fneur.2019.00617"},{"key":"1616_CR11","doi-asserted-by":"publisher","unstructured":"Nassery A, Palmese CA, Sarva H, Groves M, Miravite J, Kopell BH. Psychiatric and Cognitive Effects of Deep Brain Stimulation for Parkinson\u2019s Disease. Current Neurology and Neuroscience Reports. 2016 Oct;16(10):87. https:\/\/doi.org\/10.1007\/s11910-016-0690-1.","DOI":"10.1007\/s11910-016-0690-1"},{"key":"1616_CR12","doi-asserted-by":"publisher","unstructured":"Carlson JD, Neumiller JJ, Swain LDW, Mark J, McLeod P, Hirschauer J. Postoperative delirium in Parkinson\u2019s disease patients following deep brain stimulation surgery. Journal of Clinical Neuroscience: Official Journal of the Neurosurgical Society of Australasia. 2014 Jul;21(7):1192\u20131195. https:\/\/doi.org\/10.1016\/j.jocn.2013.12.007.","DOI":"10.1016\/j.jocn.2013.12.007"},{"key":"1616_CR13","doi-asserted-by":"publisher","unstructured":"Tanaka M, Tani N, Maruo T, Oshino S, Hosomi K, Saitoh Y, et\u00a0al. Risk Factors for Postoperative Delirium After Deep Brain Stimulation Surgery for Parkinson Disease. World Neurosurgery. 2018 Jun;114:e518\u2013e523. https:\/\/doi.org\/10.1016\/j.wneu.2018.03.021.","DOI":"10.1016\/j.wneu.2018.03.021"},{"key":"1616_CR14","doi-asserted-by":"publisher","unstructured":"Li H, Han S, Feng J. Delirium after Deep Brain Stimulation in Parkinson\u2019s Disease. Parkinson\u2019s Disease. 2021 Feb;2021:8885386. https:\/\/doi.org\/10.1155\/2021\/8885386.","DOI":"10.1155\/2021\/8885386"},{"key":"1616_CR15","doi-asserted-by":"publisher","unstructured":"Goldberg TE, Chen C, Wang Y, Jung E, Swanson A, Ing C, et\u00a0al. Association of Delirium With Long-term Cognitive Decline: A Meta-analysis. JAMA neurology. 2020 Nov;77(11):1373\u20131381. https:\/\/doi.org\/10.1001\/jamaneurol.2020.2273.","DOI":"10.1001\/jamaneurol.2020.2273"},{"issue":"6","key":"1616_CR16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0094944","volume":"9","author":"A Umemura","year":"2014","unstructured":"Umemura A, Oeda T, Tomita S, Hayashi R, Kohsaka M, Park K, et\u00a0al. Delirium and high fever are associated with subacute motor deterioration in Parkinson disease: a nested case-control study. PloS One. 2014;9(6):e94944. https:\/\/doi.org\/10.1371\/journal.pone.0094944.","journal-title":"PloS One."},{"key":"1616_CR17","doi-asserted-by":"publisher","unstructured":"Serrano-Due\u00f1as M, Bleda MJ. Delirium in Parkinson\u2019s disease patients. a five-year follow-up study. Parkinsonism & Related Disorders. 2005 Sep;11(6):387\u2013392. https:\/\/doi.org\/10.1016\/j.parkreldis.2005.05.002.","DOI":"10.1016\/j.parkreldis.2005.05.002"},{"key":"1616_CR18","doi-asserted-by":"publisher","unstructured":"Bellelli G, Morandi A, Davis DHJ, Mazzola P, Turco R, Gentile S, et\u00a0al. Validation of the 4AT, a new instrument for rapid delirium screening: a study in 234 hospitalised older people. Age and Ageing. 2014 Jul;43(4):496\u2013502. https:\/\/doi.org\/10.1093\/ageing\/afu021.","DOI":"10.1093\/ageing\/afu021"},{"key":"1616_CR19","doi-asserted-by":"publisher","unstructured":"Lees R, Corbet S, Johnston C, Moffitt E, Shaw G, Quinn TJ. Test accuracy of short screening tests for diagnosis of delirium or cognitive impairment in an acute stroke unit setting. Stroke. 2013 Nov;44(11):3078\u20133083. https:\/\/doi.org\/10.1161\/STROKEAHA.113.001724.","DOI":"10.1161\/STROKEAHA.113.001724"},{"key":"1616_CR20","doi-asserted-by":"publisher","unstructured":"Infante MT, Pardini M, Balestrino M, Finocchi C, Malfatto L, Bellelli G, et\u00a0al. Delirium in the acute phase after stroke: comparison between methods of detection. Neurological Sciences: Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology. 2017 Jun;38(6):1101\u20131104. https:\/\/doi.org\/10.1007\/s10072-017-2832-x.","DOI":"10.1007\/s10072-017-2832-x"},{"key":"1616_CR21","doi-asserted-by":"publisher","unstructured":"Irmen F, Horn A, Mosley P, Perry A, Petry-Schmelzer JN, Dafsari HS, et\u00a0al. Left Prefrontal Connectivity Links Subthalamic Stimulation with Depressive Symptoms. Annals of Neurology. 2020 Jun;87(6):962\u2013975. https:\/\/doi.org\/10.1002\/ana.25734.","DOI":"10.1002\/ana.25734"},{"key":"1616_CR22","doi-asserted-by":"publisher","unstructured":"Radziunas A, Deltuva VP, Tamasauskas A, Gleizniene R, Pranckeviciene A, Surkiene D, et\u00a0al. Neuropsychiatric complications and neuroimaging characteristics after deep brain stimulation surgery for Parkinson\u2019s disease. Brain Imaging and Behavior. 2020 Feb;14(1):62\u201371. https:\/\/doi.org\/10.1007\/s11682-018-9971-4.","DOI":"10.1007\/s11682-018-9971-4"},{"key":"1616_CR23","doi-asserted-by":"publisher","unstructured":"Cavallari M, Hshieh TT, Guttmann CRG, Ngo LH, Meier DS, Schmitt EM, et\u00a0al. Brain atrophy and white-matter hyperintensities are not significantly associated with incidence and severity of postoperative delirium in older persons without dementia. Neurobiology of Aging. 2015 Jun;36(6):2122\u20132129. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2015.02.024.","DOI":"10.1016\/j.neurobiolaging.2015.02.024"},{"key":"1616_CR24","doi-asserted-by":"publisher","unstructured":"Shioiri A, Kurumaji A, Takeuchi T, Matsuda H, Arai H, Nishikawa T. White matter abnormalities as a risk factor for postoperative delirium revealed by diffusion tensor imaging. The American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry. 2010 Aug;18(8):743\u2013753. https:\/\/doi.org\/10.1097\/JGP.0b013e3181d145c5.","DOI":"10.1097\/JGP.0b013e3181d145c5"},{"key":"1616_CR25","doi-asserted-by":"publisher","unstructured":"Wang F, Lai Y, Pan Y, Li H, Liu Q, Sun B. A systematic review of brain morphometry related to deep brain stimulation outcome in Parkinson\u2019s disease. NPJ Parkinson\u2019s disease. 2022 Oct;8:130. https:\/\/doi.org\/10.1038\/s41531-022-00403-x.","DOI":"10.1038\/s41531-022-00403-x"},{"key":"1616_CR26","doi-asserted-by":"publisher","unstructured":"Avanzo M, Wei L, Stancanello J, Valli\u00e8res M, Rao A, Morin O, et\u00a0al. Machine and deep learning methods for radiomics. Medical Physics. 2020 Jun;47(5):e185\u2013e202. https:\/\/doi.org\/10.1002\/mp.13678.","DOI":"10.1002\/mp.13678"},{"key":"1616_CR27","doi-asserted-by":"publisher","unstructured":"Timmeren JEv, Cester D, Tanadini-Lang S, Alkadhi H, Baessler B. Radiomics in medical imaging\u2014\u201chow-to\u201d guide and critical reflection. Insights into Imaging. 2020 Aug;11:91. https:\/\/doi.org\/10.1186\/s13244-020-00887-2.","DOI":"10.1186\/s13244-020-00887-2"},{"key":"1616_CR28","doi-asserted-by":"publisher","first-page":"1028996","DOI":"10.3389\/fnins.2022.1028996","volume":"16","author":"A Saudargiene","year":"2022","unstructured":"Saudargiene A, Radziunas A, Dainauskas JJ, Kucinskas V, Vaitkiene P, Pranckeviciene A, et\u00a0al. Radiomic features of amygdala nuclei and hippocampus subfields help to predict subthalamic deep brain stimulation motor outcomes for Parkinson\u2019s disease patients. Frontiers in Neuroscience. 2022;16:1028996. https:\/\/doi.org\/10.3389\/fnins.2022.1028996.","journal-title":"Frontiers in Neuroscience."},{"key":"1616_CR29","doi-asserted-by":"publisher","unstructured":"Liu Y, Xiao B, Zhang C, Li J, Lai Y, Shi F, et\u00a0al. Predicting Motor Outcome of Subthalamic Nucleus Deep Brain Stimulation for Parkinson\u2019s Disease Using Quantitative Susceptibility Mapping and Radiomics: A Pilot Study. Frontiers in Neuroscience. 2021 Sep;15:731109. https:\/\/doi.org\/10.3389\/fnins.2021.731109.","DOI":"10.3389\/fnins.2021.731109"},{"key":"1616_CR30","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2021.646617","volume":"15","author":"Q Ren","year":"2021","unstructured":"Ren Q, Wang Y, Leng S, Nan X, Zhang B, Shuai X, et\u00a0al. Substantia Nigra Radiomics Feature Extraction of Parkinson\u2019s Disease Based on Magnitude Images of Susceptibility-Weighted Imaging. Frontiers in Neuroscience. 2021;15:646617. https:\/\/doi.org\/10.3389\/fnins.2021.646617.","journal-title":"Frontiers in Neuroscience."},{"key":"1616_CR31","doi-asserted-by":"publisher","unstructured":"Cao X, Wang X, Xue C, Zhang S, Huang Q, Liu W. A Radiomics Approach to Predicting Parkinson\u2019s Disease by Incorporating Whole-Brain Functional Activity and Gray Matter Structure. Frontiers in Neuroscience. 2020 Jul;14. https:\/\/doi.org\/10.3389\/fnins.2020.00751.","DOI":"10.3389\/fnins.2020.00751"},{"key":"1616_CR32","doi-asserted-by":"publisher","unstructured":"Wu Y, Jiang JH, Chen L, Lu JY, Ge JJ, Liu FT, et\u00a0al. Use of radiomic features and support vector machine to distinguish Parkinson\u2019s disease cases from normal controls. Annals of Translational Medicine. 2019 Dec;7(23):773\u2013773. Publisher: AME Publishing Company. https:\/\/doi.org\/10.21037\/atm.2019.11.26.","DOI":"10.21037\/atm.2019.11.26"},{"key":"1616_CR33","doi-asserted-by":"publisher","unstructured":"Gore S, Dhole A, Kumbhar S, Jagtap J, Thakare A, Gudadhe S. Radiomics for Parkinson\u2019s disease classification using advanced texture-based biomarkers. MethodsX. 2023 Dec;11:102359. https:\/\/doi.org\/10.1016\/j.mex.2023.102359.","DOI":"10.1016\/j.mex.2023.102359"},{"key":"1616_CR34","doi-asserted-by":"publisher","unstructured":"Bu S, Pang H, Li X, Zhao M, Wang J, Liu Y, et\u00a0al. Multi-parametric radiomics of conventional T1 weighted and susceptibility-weighted imaging for differential diagnosis of idiopathic Parkinson\u2019s disease and multiple system atrophy. BMC Medical Imaging. 2023 Dec;23(1):204. https:\/\/doi.org\/10.1186\/s12880-023-01169-1.","DOI":"10.1186\/s12880-023-01169-1"},{"key":"1616_CR35","doi-asserted-by":"publisher","unstructured":"Panahi M, Hosseini MS. Multi-modality radiomics of conventional T1 weighted and diffusion tensor imaging for differentiating Parkinson\u2019s disease motor subtypes in early-stages. Scientific Reports. 2024 Sep;14:20708. https:\/\/doi.org\/10.1038\/s41598-024-71860-y.","DOI":"10.1038\/s41598-024-71860-y"},{"key":"1616_CR36","doi-asserted-by":"publisher","unstructured":"Bejjani BP, Dormont D, Pidoux B, Yelnik J, Damier P, Arnulf I, et\u00a0al. Bilateral subthalamic stimulation for Parkinson\u2019s disease by using three-dimensional stereotactic magnetic resonance imaging and electrophysiological guidance. Journal of Neurosurgery. 2000 Apr;92(4):615\u2013625. https:\/\/doi.org\/10.3171\/jns.2000.92.4.0615.","DOI":"10.3171\/jns.2000.92.4.0615"},{"key":"1616_CR37","doi-asserted-by":"publisher","unstructured":"Defer GL, Widner H, Mari\u00e9 RM, R\u00e9my P, Levivier M. Core assessment program for surgical interventional therapies in Parkinson\u2019s disease (CAPSIT-PD). Movement Disorders: Official Journal of the Movement Disorder Society. 1999 Jul;14(4):572\u2013584. https:\/\/doi.org\/10.1002\/1531-8257(199907)14:4<572::aid-mds1005>3.0.co;2-c.","DOI":"10.1002\/1531-8257(199907)14:4<572::aid-mds1005>3.0.co;2-c"},{"key":"1616_CR38","doi-asserted-by":"publisher","unstructured":"Charles PD, Gill CE, Davis TL, Konrad PE, Benabid AL. Is deep brain stimulation neuroprotective if applied early in the course of PD? Nature Clinical Practice Neurology. 2008 Aug;4(8):424\u2013426. Publisher: Nature Publishing Group. https:\/\/doi.org\/10.1038\/ncpneuro0848.","DOI":"10.1038\/ncpneuro0848"},{"key":"1616_CR39","doi-asserted-by":"publisher","unstructured":"Kleiner-Fisman G, Fisman DN, Sime E, Saint-Cyr JA, Lozano AM, Lang AE. Long-term follow up of bilateral deep brain stimulation of the subthalamic nucleus in patients with advanced Parkinson disease. 2003 Sep;Section: Journal of Neurosurgery. https:\/\/doi.org\/10.3171\/jns.2003.99.3.0489.","DOI":"10.3171\/jns.2003.99.3.0489"},{"key":"1616_CR40","doi-asserted-by":"publisher","unstructured":"Blasberg F, Wojtecki L, Elben S, Slotty PJ, Vesper J, Schnitzler A, et\u00a0al. Comparison of Awake vs. Asleep Surgery for Subthalamic Deep Brain Stimulation in Parkinson\u2019s Disease. Neuromodulation: Technology at the Neural Interface. 2018 Aug;21(6):541\u2013547. https:\/\/doi.org\/10.1111\/ner.12766.","DOI":"10.1111\/ner.12766"},{"key":"1616_CR41","doi-asserted-by":"publisher","unstructured":"Isensee F, Schell M, Pflueger I, Brugnara G, Bonekamp D, Neuberger U, et\u00a0al. Automated brain extraction of multisequence MRI using artificial neural networks. Human Brain Mapping. 2019;40(17):4952\u20134964. https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/hbm.24750. https:\/\/doi.org\/10.1002\/hbm.24750.","DOI":"10.1002\/hbm.24750"},{"key":"1616_CR42","doi-asserted-by":"publisher","unstructured":"Fischl B. FreeSurfer. NeuroImage. 2012 Aug;62(2):774\u2013781. https:\/\/doi.org\/10.1016\/j.neuroimage.2012.01.021.","DOI":"10.1016\/j.neuroimage.2012.01.021"},{"key":"1616_CR43","doi-asserted-by":"publisher","unstructured":"Iglesias JE, Augustinack JC, Nguyen K, Player CM, Player A, Wright M, et\u00a0al. A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI. NeuroImage. 2015 Jul;115:117\u2013137. https:\/\/doi.org\/10.1016\/j.neuroimage.2015.04.042.","DOI":"10.1016\/j.neuroimage.2015.04.042"},{"key":"1616_CR44","doi-asserted-by":"publisher","unstructured":"Krauth A, Blanc R, Poveda A, Jeanmonod D, Morel A, Sz\u00e9kely G. A mean three-dimensional atlas of the human thalamus: Generation from multiple histological data. NeuroImage. 2010 Feb;49(3):2053\u20132062. https:\/\/doi.org\/10.1016\/j.neuroimage.2009.10.042.","DOI":"10.1016\/j.neuroimage.2009.10.042"},{"key":"1616_CR45","doi-asserted-by":"crossref","unstructured":"Zhao Z, Anand R, Wang M. Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform; 2019. .","DOI":"10.1109\/DSAA.2019.00059"},{"issue":"85","key":"1616_CR46","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, et\u00a0al. Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research. 2011;12(85):2825\u20132830.","journal-title":"Journal of Machine Learning Research."},{"key":"1616_CR47","doi-asserted-by":"publisher","unstructured":"Cartmill T, Skvarc D, Bittar R, McGillivray J, Berk M, Byrne LK. Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson\u2019s Disease: A Meta-Analysis of Mood Effects. Neuropsychology Review. 2021 Sep;31(3):385\u2013401. https:\/\/doi.org\/10.1007\/s11065-020-09467-z.","DOI":"10.1007\/s11065-020-09467-z"},{"key":"1616_CR48","doi-asserted-by":"publisher","unstructured":"Giannini G, Francois M, Lhomm\u00e9e E, Polosan M, Schmitt E, Fraix V, et\u00a0al. Suicide and suicide attempts after subthalamic nucleus stimulation in Parkinson disease. Neurology. 2019 Jul;93(1):e97\u2013e105. https:\/\/doi.org\/10.1212\/wnl.0000000000007665.","DOI":"10.1212\/wnl.0000000000007665"},{"key":"1616_CR49","doi-asserted-by":"publisher","unstructured":"Lilleeng B, Gjerstad M, Baardsen R, Dalen I, Larsen JP. The long-term development of non-motor problems after STN-DBS. Acta Neurologica Scandinavica. 2015 Oct;132(4):251\u2013258. https:\/\/doi.org\/10.1111\/ane.12391.","DOI":"10.1111\/ane.12391"},{"key":"1616_CR50","doi-asserted-by":"publisher","unstructured":"Bucur M, Papagno C. Deep Brain Stimulation in Parkinson Disease: A Meta-analysis of the Long-term Neuropsychological Outcomes. Neuropsychology Review. 2023 Jun;33(2):307\u2013346. https:\/\/doi.org\/10.1007\/s11065-022-09540-9.","DOI":"10.1007\/s11065-022-09540-9"},{"key":"1616_CR51","doi-asserted-by":"publisher","unstructured":"Inouye SK, Westendorp RGJ, Saczynski JS. Delirium in elderly people. Lancet (London, England). 2014 Mar;383(9920):911\u2013922. https:\/\/doi.org\/10.1016\/S0140-6736(13)60688-1.","DOI":"10.1016\/S0140-6736(13)60688-1"},{"key":"1616_CR52","doi-asserted-by":"publisher","unstructured":"Bezdudnaya T, Keller A. Laterodorsal nucleus of the thalamus: A processor of somatosensory inputs. The Journal of Comparative Neurology. 2008 Apr;507(6):1979\u20131989. https:\/\/doi.org\/10.1002\/cne.21664.","DOI":"10.1002\/cne.21664"},{"key":"1616_CR53","doi-asserted-by":"publisher","first-page":"86","DOI":"10.3389\/fncir.2017.00086","volume":"11","author":"Y Yang","year":"2017","unstructured":"Yang Y, Wang JZ. From Structure to Behavior in Basolateral Amygdala-Hippocampus Circuits. Frontiers in Neural Circuits. 2017;11:86. https:\/\/doi.org\/10.3389\/fncir.2017.00086.","journal-title":"Frontiers in Neural Circuits."},{"key":"1616_CR54","doi-asserted-by":"publisher","unstructured":"Lama J, Buhidma Y, Fletcher EJR, Duty S. Animal models of Parkinson\u2019s disease: a guide to selecting the optimal model for your research. Neuronal Signaling. 2021 Dec;5(4):NS20210026. https:\/\/doi.org\/10.1042\/NS20210026.","DOI":"10.1042\/NS20210026"},{"key":"1616_CR55","doi-asserted-by":"publisher","DOI":"10.26481\/dis.20201215rp","volume-title":"The contribution of 5-HT1A receptors in improving plasticity and function of the brain","author":"Aguiar R Pazinatto","year":"2020","unstructured":"Pazinatto\u00a0Aguiar R. The contribution of 5-HT1A receptors in improving plasticity and function of the brain. Maastricht: Maastricht University; 2020."},{"issue":"5","key":"1616_CR56","doi-asserted-by":"publisher","first-page":"810","DOI":"10.1016\/j.euroneuro.2015.12.005","volume":"26","author":"OA van den Heuvel","year":"2016","unstructured":"van\u00a0den Heuvel OA, van Wingen G, Soriano-Mas C, Alonso P, Chamberlain SR, Nakamae T, et\u00a0al. Brain circuitry of compulsivity. European Neuropsychopharmacology: The Journal of the European College of Neuropsychopharmacology. 2016;26(5):810\u2013827. https:\/\/doi.org\/10.1016\/j.euroneuro.2015.12.005.","journal-title":"European Neuropsychopharmacology: The Journal of the European College of Neuropsychopharmacology."},{"key":"1616_CR57","doi-asserted-by":"publisher","unstructured":"Usrey WM, Sherman SM. Corticofugal circuits: Communication lines from the cortex to the rest of the brain. The Journal of Comparative Neurology. 2019 Feb;527(3):640\u2013650. https:\/\/doi.org\/10.1002\/cne.24423.","DOI":"10.1002\/cne.24423"},{"key":"1616_CR58","doi-asserted-by":"publisher","unstructured":"Perry BAL, Mitchell AS. Considering the Evidence for Anterior and Laterodorsal Thalamic Nuclei as Higher Order Relays to Cortex. Frontiers in Molecular Neuroscience. 2019 Jul;12. https:\/\/doi.org\/10.3389\/fnmol.2019.00167.","DOI":"10.3389\/fnmol.2019.00167"},{"key":"1616_CR59","doi-asserted-by":"publisher","unstructured":"Wolff M, Vann SD. The Cognitive Thalamus as a Gateway to Mental Representations. The Journal of Neuroscience. 2019 Jan;39(1):3. https:\/\/doi.org\/10.1523\/JNEUROSCI.0479-18.2018.","DOI":"10.1523\/JNEUROSCI.0479-18.2018"},{"key":"1616_CR60","doi-asserted-by":"publisher","unstructured":"Gratwicke J, Oswal A, Akram H, Jahanshahi M, Hariz M, Zrinzo L, et\u00a0al. Resting state activity and connectivity of the nucleus basalis of Meynert and globus pallidus in Lewy body dementia and Parkinson\u2019s disease dementia. NeuroImage. 2020 Nov;221:117184. https:\/\/doi.org\/10.1016\/j.neuroimage.2020.117184.","DOI":"10.1016\/j.neuroimage.2020.117184"},{"key":"1616_CR61","doi-asserted-by":"publisher","unstructured":"Pasina L, Colzani L, Cortesi L, Tettamanti M, Zambon A, Nobili A, et\u00a0al. Relation Between Delirium and Anticholinergic Drug Burden in a Cohort of Hospitalized Older Patients: An Observational Study. Drugs & Aging. 2019 Jan;36(1):85\u201391. https:\/\/doi.org\/10.1007\/s40266-018-0612-9.","DOI":"10.1007\/s40266-018-0612-9"},{"key":"1616_CR62","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1146\/annurev.neuro.051508.135256","volume":"33","author":"CD Salzman","year":"2010","unstructured":"Salzman CD, Fusi S. Emotion, cognition, and mental state representation in amygdala and prefrontal cortex. Annual Review of Neuroscience. 2010;33:173\u2013202. https:\/\/doi.org\/10.1146\/annurev.neuro.051508.135256.","journal-title":"Annual Review of Neuroscience."},{"key":"1616_CR63","doi-asserted-by":"publisher","unstructured":"Asami T, Nakamura R, Takaishi M, Yoshida H, Yoshimi A, Whitford TJ, et\u00a0al. Smaller volumes in the lateral and basal nuclei of the amygdala in patients with panic disorder. PLoS ONE. 2018 Nov;13(11):e0207163. https:\/\/doi.org\/10.1371\/journal.pone.0207163.","DOI":"10.1371\/journal.pone.0207163"},{"key":"1616_CR64","doi-asserted-by":"publisher","unstructured":"Li J, Cao D, Yu S, Xiao X, Imbach L, Stieglitz L, et\u00a0al. Functional specialization and interaction in the amygdala-hippocampus circuit during working memory processing. Nature Communications. 2023 May;14:2921. https:\/\/doi.org\/10.1038\/s41467-023-38571-w.","DOI":"10.1038\/s41467-023-38571-w"},{"key":"1616_CR65","doi-asserted-by":"publisher","unstructured":"Fitzgerald JM, Adamis D, Trzepacz PT, O\u2019Regan N, Timmons S, Dunne C, et\u00a0al. Delirium: a disturbance of circadian integrity? Medical Hypotheses. 2013 Oct;81(4):568\u2013576. https:\/\/doi.org\/10.1016\/j.mehy.2013.06.032.","DOI":"10.1016\/j.mehy.2013.06.032"},{"issue":"23","key":"1616_CR66","doi-asserted-by":"publisher","first-page":"2200559","DOI":"10.1002\/advs.202200559","volume":"9","author":"M Chen","year":"2022","unstructured":"Chen M, Zhang L, Shao M, Du J, Xiao Y, Zhang F, et\u00a0al. E4BP4 Coordinates Circadian Control of Cognition in Delirium. Advanced Science. 2022;9(23):2200559. https:\/\/doi.org\/10.1002\/advs.202200559.","journal-title":"Advanced Science."},{"key":"1616_CR67","doi-asserted-by":"publisher","unstructured":"Jiang H, Du Y, Lu Z, Wang B, Zhao Y, Wang R, et\u00a0al. Radiomics incorporating deep features for predicting Parkinson\u2019s disease in 123I-Ioflupane SPECT. EJNMMI Physics. 2024 Jul;11(1):60. https:\/\/doi.org\/10.1186\/s40658-024-00651-1.","DOI":"10.1186\/s40658-024-00651-1"},{"key":"1616_CR68","doi-asserted-by":"publisher","unstructured":"Majhi B, Kashyap A, Mohanty SS, Dash S, Mallik S, Li A, et\u00a0al. An improved method for diagnosis of Parkinson\u2019s disease using deep learning models enhanced with metaheuristic algorithm. BMC Medical Imaging. 2024 Jun;24(1):156. https:\/\/doi.org\/10.1186\/s12880-024-01335-z.","DOI":"10.1186\/s12880-024-01335-z"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-025-01616-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-025-01616-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-025-01616-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T09:04:16Z","timestamp":1780391056000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-025-01616-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,13]]},"references-count":68,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2026,6]]}},"alternative-id":["1616"],"URL":"https:\/\/doi.org\/10.1007\/s10278-025-01616-1","relation":{},"ISSN":["2948-2933"],"issn-type":[{"value":"2948-2933","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,13]]},"assertion":[{"value":"27 March 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 June 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 July 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 August 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The study protocol was approved by the Kaunas Regional Biomedical Research Ethics Committee (No. BE-2-48).","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"Not applicable","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":"Conflict of Interest"}}]}}