{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T03:00:42Z","timestamp":1767322842521,"version":"3.48.0"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032113160","type":"print"},{"value":"9783032113177","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-11317-7_20","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:58:22Z","timestamp":1767322702000},"page":"233-242","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Radiomic Analysis of\u00a0MR and\u00a0PET Images of\u00a0Mice to\u00a0Identify Possible Microstructural Changes Associated with\u00a0Early Molecular Changes During Nigral Neuron Deafferentation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3629-355X","authenticated-orcid":false,"given":"Viviana","family":"Benfante","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3079-3932","authenticated-orcid":false,"given":"Sara","family":"Belloli","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0751-3082","authenticated-orcid":false,"given":"Gaia","family":"Faustini","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9581-1919","authenticated-orcid":false,"given":"Arianna","family":"Bellucci","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2771-9387","authenticated-orcid":false,"given":"Rosa Maria","family":"Moresco","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9290-6103","authenticated-orcid":false,"given":"Albert","family":"Comelli","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"20_CR1","doi-asserted-by":"publisher","first-page":"4006","DOI":"10.1038\/ncomms5006","volume":"5","author":"HJWL Aerts","year":"2014","unstructured":"Aerts, H.J.W.L., et al.: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat. Commun. 5, 4006 (2014). https:\/\/doi.org\/10.1038\/ncomms5006","journal-title":"Nat. Commun."},{"key":"20_CR2","doi-asserted-by":"publisher","unstructured":"Ali, M., et al.: Prostate cancer detection: Performance of radiomics analysis in multiparametric MRI (2024). https:\/\/doi.org\/10.1007\/978-3-031-51026-7_8","DOI":"10.1007\/978-3-031-51026-7_8"},{"key":"20_CR3","doi-asserted-by":"publisher","unstructured":"Alongi, P., et al.: Radiomics analysis of brain [18F]FDG PET\/CT to predict Alzheimer\u2019s disease in patients with amyloid pet positivity: a preliminary report on the application of SPM cortical segmentation, pyradiomics and machine-learning analysis. Diagnostics 12, 933 (2022). https:\/\/doi.org\/10.3390\/diagnostics12040933","DOI":"10.3390\/diagnostics12040933"},{"key":"20_CR4","doi-asserted-by":"publisher","unstructured":"Basirinia, G., et al.: Theranostic approaches for gastric cancer: An overview of in vitro and in vivo investigations. Cancers (Basel) 16, 3323 (2024). https:\/\/doi.org\/10.3390\/cancers16193323","DOI":"10.3390\/cancers16193323"},{"key":"20_CR5","doi-asserted-by":"publisher","unstructured":"Benfante, V., et al.: Grading and staging of bladder tumors using radiomics analysis in magnetic resonance imaging (2024). https:\/\/doi.org\/10.1007\/978-3-031-51026-7_9","DOI":"10.1007\/978-3-031-51026-7_9"},{"key":"20_CR6","doi-asserted-by":"publisher","unstructured":"Cairone, L., et al.: Robustness of radiomics features to varying segmentation algorithms in magnetic resonance images (2022). https:\/\/doi.org\/10.1007\/978-3-031-13321-3_41","DOI":"10.1007\/978-3-031-13321-3_41"},{"key":"20_CR7","doi-asserted-by":"publisher","unstructured":"Calabresi, P., Mechelli, A., Natale, G., Volpicelli-Daley, L., Di Lazzaro, G., Ghiglieri, V.: Alpha-synuclein in Parkinson\u2019s disease and other Synucleinopathies: from overt neurodegeneration back to early synaptic dysfunction. Cell Death Dis. 14, 176 (2023). https:\/\/doi.org\/10.1038\/s41419-023-05672-9","DOI":"10.1038\/s41419-023-05672-9"},{"key":"20_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.parkreldis.2023.105288","volume":"108","author":"SP Caminiti","year":"2023","unstructured":"Caminiti, S.P., et al.: Dopaminergic connectivity reconfiguration in the dementia with Lewy bodies continuum. Parkinsonism Relat. Disord. 108, 105288 (2023). https:\/\/doi.org\/10.1016\/j.parkreldis.2023.105288","journal-title":"Parkinsonism Relat. Disord."},{"key":"20_CR9","doi-asserted-by":"publisher","unstructured":"Canfora, I., et al.: A predictive system to classify preoperative grading of rectal cancer using radiomics features (2022). https:\/\/doi.org\/10.1007\/978-3-031-13321-3_38","DOI":"10.1007\/978-3-031-13321-3_38"},{"key":"20_CR10","doi-asserted-by":"publisher","unstructured":"Faustini, G., et al.: Synapsin III gene silencing redeems alpha-synuclein transgenic mice from Parkinson\u2019s disease-like phenotype. Mol. Ther. 30, 1465\u20131483 (2022). https:\/\/doi.org\/10.1016\/j.ymthe.2022.01.021","DOI":"10.1016\/j.ymthe.2022.01.021"},{"key":"20_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmb.2022.167714","volume":"435","author":"V Gao","year":"2023","unstructured":"Gao, V., Briano, J.A., Komer, L.E., Burr\u00e9, J.: Functional and pathological effects of -synuclein on synaptic snare complexes. J. Mol. Biol. 435, 167714 (2023). https:\/\/doi.org\/10.1016\/j.jmb.2022.167714","journal-title":"J. Mol. Biol."},{"key":"20_CR12","doi-asserted-by":"publisher","unstructured":"Giaccone, P., Benfante, V., Stefano, A., Cammarata, F.P., Russo, G., Comelli, A.: Pet images atlas-based segmentation performed in native and in template space: A radiomics repeatability study in mouse models (2022). https:\/\/doi.org\/10.1007\/978-3-031-13321-3_31","DOI":"10.1007\/978-3-031-13321-3_31"},{"key":"20_CR13","doi-asserted-by":"publisher","unstructured":"van Griethuysen, J.J.M., et al.: Computational radiomics system to decode the radiographic phenotype. Can. Res. 77, e104\u2013e107 (2017). https:\/\/doi.org\/10.1158\/0008-5472.CAN-17-0339","DOI":"10.1158\/0008-5472.CAN-17-0339"},{"key":"20_CR14","doi-asserted-by":"publisher","first-page":"4508","DOI":"10.3390\/ijms23094508","volume":"23","author":"E Guatteo","year":"2022","unstructured":"Guatteo, E., Berretta, N., Monda, V., Ledonne, A., Mercuri, N.B.: Patho-physiological features of nigral dopaminergic neurons in animal models of Parkinson\u2019s disease. Int. J. Mol. Sci. 23, 4508 (2022). https:\/\/doi.org\/10.3390\/ijms23094508","journal-title":"Int. J. Mol. Sci."},{"key":"20_CR15","doi-asserted-by":"publisher","unstructured":"Jian, Y., et al.: Prediction of cognitive decline in Parkinson\u2019s disease based on MRI radiomics and clinical features: a multicenter study. CNS Neurosci. Ther. 30 (2024). https:\/\/doi.org\/10.1111\/cns.14789","DOI":"10.1111\/cns.14789"},{"key":"20_CR16","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1186\/s40658-024-00651-1","volume":"11","author":"H Jiang","year":"2024","unstructured":"Jiang, H., et al.: Radiomics incorporating deep features for predicting Parkinson\u2019s disease in 123i-Ioflupane SPECT. EJNMMI Phys. 11, 60 (2024). https:\/\/doi.org\/10.1186\/s40658-024-00651-1","journal-title":"EJNMMI Phys."},{"key":"20_CR17","doi-asserted-by":"publisher","unstructured":"Korat, \u00c5., et al.: Alpha-synuclein pet tracer development\u2014an overview about current efforts. Pharmaceuticals 14, 847 (2021). https:\/\/doi.org\/10.3390\/ph14090847","DOI":"10.3390\/ph14090847"},{"key":"20_CR18","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1186\/1478-811X-11-34","volume":"11","author":"J Meiser","year":"2013","unstructured":"Meiser, J., Weindl, D., Hiller, K.: Complexity of dopamine metabolism. Cell Commun. Signal. 11, 34 (2013). https:\/\/doi.org\/10.1186\/1478-811X-11-34","journal-title":"Cell Commun. Signal."},{"key":"20_CR19","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/s00401-010-0711-0","volume":"120","author":"WJ Schulz-Schaeffer","year":"2010","unstructured":"Schulz-Schaeffer, W.J.: The synaptic pathology of -synuclein aggregation in dementia with Lewy bodies, Parkinson\u2019s disease and Parkinson\u2019s disease dementia. Acta Neuropathol. 120, 131\u2013143 (2010). https:\/\/doi.org\/10.1007\/s00401-010-0711-0","journal-title":"Acta Neuropathol."},{"key":"20_CR20","doi-asserted-by":"publisher","first-page":"6750","DOI":"10.1038\/s41467-023-42305-3","volume":"14","author":"R Smith","year":"2023","unstructured":"Smith, R., et al.: The -synuclein pet tracer [18F] ACI-12589 distinguishes multiple system atrophy from other neurodegenerative diseases. Nat. Commun. 14, 6750 (2023). https:\/\/doi.org\/10.1038\/s41467-023-42305-3","journal-title":"Nat. Commun."},{"key":"20_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.108827","volume":"179","author":"A Stefano","year":"2024","unstructured":"Stefano, A.: Challenges and limitations in applying radiomics to pet imaging: possible opportunities and avenues for research. Comput. Biol. Med. 179, 108827 (2024). https:\/\/doi.org\/10.1016\/j.compbiomed.2024.108827","journal-title":"Comput. Biol. Med."},{"key":"20_CR22","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1007\/s00330-023-10003-9","volume":"34","author":"J Sun","year":"2023","unstructured":"Sun, J., et al.: Identification of Parkinson\u2019s disease and multiple system atrophy using multimodal PET\/MRI radiomics. Eur. Radiol. 34, 662\u2013672 (2023). https:\/\/doi.org\/10.1007\/s00330-023-10003-9","journal-title":"Eur. Radiol."},{"key":"20_CR23","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1016\/j.neuron.2006.05.019","volume":"50","author":"K Svoboda","year":"2006","unstructured":"Svoboda, K., Yasuda, R.: Principles of two-photon excitation microscopy and its applications to neuroscience. Neuron 50, 823\u2013839 (2006). https:\/\/doi.org\/10.1016\/j.neuron.2006.05.019","journal-title":"Neuron"},{"key":"20_CR24","doi-asserted-by":"publisher","first-page":"3942","DOI":"10.1523\/JNEUROSCI.4965-05.2006","volume":"26","author":"GK Tofaris","year":"2006","unstructured":"Tofaris, G.K., et al.: Pathological changes in dopaminergic nerve cells of the substantia Nigra and olfactory bulb in mice transgenic for truncated human -synuclein(1\u2013120): implications for Lewy body disorders. J. Neurosci. 26, 3942\u20133950 (2006). https:\/\/doi.org\/10.1523\/JNEUROSCI.4965-05.2006","journal-title":"J. Neurosci."},{"issue":"11","key":"20_CR25","doi-asserted-by":"publisher","first-page":"8218","DOI":"10.1007\/s00330-021-07979-7","volume":"31","author":"P Tupe-Waghmare","year":"2021","unstructured":"Tupe-Waghmare, P., Rajan, A., Prasad, S., Saini, J., Pal, P.K., Ingalhalikar, M.: Radiomics on routine T1-weighted MRI can delineate Parkinson\u2019s disease from multiple system atrophy and progressive supranuclear palsy. Eur. Radiol. 31(11), 8218\u20138227 (2021). https:\/\/doi.org\/10.1007\/s00330-021-07979-7","journal-title":"Eur. Radiol."}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2025 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-11317-7_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:58:22Z","timestamp":1767322702000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-11317-7_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032113160","9783032113177"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-11317-7_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rome","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap.org\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}