{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T19:11:02Z","timestamp":1792782662843,"version":"4.5.0"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Universit\u00e0 degli Studi di Firenze","id":[{"id":"https:\/\/ror.org\/04jr1s763","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur J Nucl Med Mol Imaging"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>\n                      Corticobasal syndrome (CBS) is a clinically defined phenotype with different underlying neuropathological substrates most commonly the 4-repeat tauopathy corticobasal degeneration (CBD). 2-[\n                      <jats:sup>18<\/jats:sup>\n                      F] fluoro-2-deoxy-D-glucose Positron Emission Tomography ([\n                      <jats:sup>18<\/jats:sup>\n                      F]FDG-PET) studies have described regional metabolic abnormalities but detailed subcortical and cerebellar structures involvement is less known and metabolic connectivity remains unexplored. This study combined voxel-based, region-of-interest (ROI) analyses and connectivity approaches to further characterize metabolic alterations and to provide a network-level framework in CBS.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Thirty-nine CBS patients underwent [\n                      <jats:sup>18<\/jats:sup>\n                      F]FDG-PET at two sites, with images flipped to align the most affected hemisphere; 99 controls were drawn from a national normative database. Voxel-based SPM method and ROIs analysis were performed. Thirty-six bilateral cortical and subcortical regions of interest were processed to perform interregional correlation and network-based analyses within five functional networks. Pairwise Spearman correlations were computed from normalized regional signals. Group differences were assessed at regional and network levels using Fisher-transformed correlations, Cohen\u2019s q, permutation testing (10,000 iterations), and graph-theoretical metrics (node strength, clustering coefficient; threshold \u03c1\u2009&gt;\u20090.25).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>CBS patients showed asymmetric hypometabolism predominantly in frontal, parietal, and temporal cortices, caudate and thalamus of the predominantly affected hemisphere, with additional contralateral involvement, notably in the cerebellum and caudate. Metabolic connectivity analyses revealed widespread intra- and inter-network disconnection, particularly involving frontal, parietal, and sensorimotor cortices, and thalamo\u2013cortical pathways, with significant lateralization toward the affected hemisphere. Graph analysis showed decreased cortical node strength with relative increases in subcortical hubs and mixed changes in clustering coefficients, suggesting network reorganization.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      This first [\n                      <jats:sup>18<\/jats:sup>\n                      F]FDG-PET metabolic connectivity study in CBS demonstrates asymmetric and bilateral regional hypometabolism, widespread and lateralized network disconnection, and subcortical reorganization. These findings reflect both degenerative, functional and compensatory mechanisms and highlight metabolic connectivity as a sensitive marker of network-level alterations in neurodegenerative disease.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00259-026-08108-6","type":"journal-article","created":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T02:16:56Z","timestamp":1785550616000},"page":"7548-7559","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Regional brain metabolism and metabolic connectivity alterations in corticobasal syndrome assessed with [18F]FDG-PET"],"prefix":"10.1007","volume":"53","author":[{"given":"Matilde","family":"Nerattini","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Leo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valentina","family":"Bessi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"De Rosa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giovanna","family":"De Michele","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valeria","family":"Gaudieri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giulia","family":"Giacomucci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Cuocolo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giuseppe","family":"De Michele","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9947-6559","authenticated-orcid":false,"given":"Valentina","family":"Berti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sabina","family":"Pappat\u00e0","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,1]]},"reference":[{"key":"8108_CR1","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1212\/WNL.0b013e31827f0fd1","volume":"80","author":"MJ Armstrong","year":"2013","unstructured":"Armstrong MJ, et al. Criteria for the diagnosis of corticobasal degeneration. Neurology. 2013;80:496\u2013503. https:\/\/doi.org\/10.1212\/WNL.0b013e31827f0fd1.","journal-title":"Neurology"},{"key":"8108_CR2","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1136\/jnnp-2021-328586","volume":"93","author":"S Koga","year":"2022","unstructured":"Koga S, Josephs KA, Aiba I, Yoshida M, Dickson DW. Neuropathology and emerging biomarkers in corticobasal syndrome. J Neurol Neurosurg Psychiatry. 2022;93:919\u201329. . https:\/\/doi.org\/10.1136\/jnnp-2021-328586","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"8108_CR3","doi-asserted-by":"publisher","first-page":"632","DOI":"10.1007\/s00259-021-05603-w","volume":"49","author":"E Guedj","year":"2022","unstructured":"Guedj E, et al. EANM procedure guidelines for brain PET imaging using [(18)F]FDG, version 3. Eur J Nucl Med Mol Imaging. 2022;49:632\u201351. https:\/\/doi.org\/10.1007\/s00259-021-05603-w.","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"8108_CR4","doi-asserted-by":"publisher","first-page":"8278","DOI":"10.3390\/ijms26178278","volume":"26","author":"A Giannakis","year":"2025","unstructured":"Giannakis A, et al. A Review of FDG-PET in Progressive Supranuclear Palsy and Corticobasal Syndrome. Int J Mol Sci. 2025;26:8278. https:\/\/doi.org\/10.3390\/ijms26178278.","journal-title":"Int J Mol Sci"},{"key":"8108_CR5","doi-asserted-by":"publisher","first-page":"176","DOI":"10.4103\/wjnm.WJNM_62_20","volume":"20","author":"AM Franceschi","year":"2021","unstructured":"Franceschi AM, et al. ((18)F)-Fluorodeoxyglucose positron emission tomography\/magnetic resonance imaging assessment of hypometabolism patterns in clinical phenotypes of suspected corticobasal degeneration. World J Nucl Med. 2021;20:176\u201384. https:\/\/doi.org\/10.4103\/wjnm.WJNM_62_20.","journal-title":"World J Nucl Med"},{"key":"8108_CR6","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1111\/jon.12391","volume":"27","author":"E Mille","year":"2017","unstructured":"Mille E, et al. Cerebral Glucose Metabolism and Dopaminergic Function in Patients with Corticobasal Syndrome. J Neuroimaging. 2017;27:255\u201361. https:\/\/doi.org\/10.1111\/jon.12391.","journal-title":"J Neuroimaging"},{"key":"8108_CR7","doi-asserted-by":"publisher","first-page":"e1121","DOI":"10.1212\/wnl.0000000000007038","volume":"92","author":"M Pardini","year":"2019","unstructured":"Pardini M, et al. FDG-PET patterns associated with underlying pathology in corticobasal syndrome. Neurology. 2019;92:e1121\u201335. https:\/\/doi.org\/10.1212\/wnl.0000000000007038.","journal-title":"Neurology"},{"key":"8108_CR8","doi-asserted-by":"publisher","first-page":"702052","DOI":"10.3389\/fneur.2021.702052","volume":"12","author":"JB Parmera","year":"2021","unstructured":"Parmera JB, et al. Metabolic and Structural Signatures of Speech and Language Impairment in Corticobasal Syndrome: A Multimodal PET\/MRI Study. Front Neurol. 2021;12:702052. https:\/\/doi.org\/10.3389\/fneur.2021.702052.","journal-title":"Front Neurol"},{"key":"8108_CR9","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1002\/mdc3.13959","volume":"11","author":"JB Parmera","year":"2024","unstructured":"Parmera JB, et al. Probable 4-Repeat Tauopathy Criteria Predict Brain Amyloid Negativity, Distinct Clinical Features, and FDG-PET\/MRI Neurodegeneneration Patterns in Corticobasal Syndrome. Mov Disord Clin Pract. 2024;11:238\u201347. https:\/\/doi.org\/10.1002\/mdc3.13959.","journal-title":"Mov Disord Clin Pract"},{"key":"8108_CR10","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.parkreldis.2021.06.006","volume":"88","author":"S Jo","year":"2021","unstructured":"Jo S, et al. FDG-PET patterns associated with ideomotor apraxia and imitation apraxia in patients with corticobasal syndrome. Parkinsonism Relat Disord. 2021;88:96\u2013101. https:\/\/doi.org\/10.1016\/j.parkreldis.2021.06.006.","journal-title":"Parkinsonism Relat Disord"},{"key":"8108_CR11","doi-asserted-by":"publisher","first-page":"7","DOI":"10.4103\/0028-3886.107916","volume":"61","author":"SP Turaga","year":"2013","unstructured":"Turaga SP, Mridula R, Borgohain R. Cerebral glucose metabolism, clinical, neuropsychological, and radiological profile in patients with corticobasal syndrome. Neurol India. 2013;61:7\u201311. https:\/\/doi.org\/10.4103\/0028-3886.107916.","journal-title":"Neurol India"},{"key":"8108_CR12","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1002\/mds.870070409","volume":"7","author":"J Blin","year":"1992","unstructured":"Blin J, et al. Corticobasal degeneration: decreased and asymmetrical glucose consumption as studied with PET. Mov Disord. 1992;7:348\u201354. https:\/\/doi.org\/10.1002\/mds.870070409.","journal-title":"Mov Disord"},{"key":"8108_CR13","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1111\/ene.13269","volume":"24","author":"SP Caminiti","year":"2017","unstructured":"Caminiti SP, et al. Evaluation of an optimized [(18) F]fluoro-deoxy-glucose positron emission tomography voxel-wise method to early support differential diagnosis in atypical Parkinsonian disorders. Eur J Neurol. 2017;24:687\u2013e626. https:\/\/doi.org\/10.1111\/ene.13269.","journal-title":"Eur J Neurol"},{"key":"8108_CR14","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.1111\/ene.13729","volume":"25","author":"V Isella","year":"2018","unstructured":"Isella V, et al. Cognitive reserve maps the core loci of neurodegeneration in corticobasal degeneration. Eur J Neurol. 2018;25:1333\u201340. https:\/\/doi.org\/10.1111\/ene.13729.","journal-title":"Eur J Neurol"},{"key":"8108_CR15","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1186\/s13195-014-0093-y","volume":"7","author":"SJ Sha","year":"2015","unstructured":"Sha SJ, et al. Predicting amyloid status in corticobasal syndrome using modified clinical criteria, magnetic resonance imaging and fluorodeoxyglucose positron emission tomography. Alzheimers Res Ther. 2015;7:8. https:\/\/doi.org\/10.1186\/s13195-014-0093-y.","journal-title":"Alzheimers Res Ther"},{"key":"8108_CR16","doi-asserted-by":"publisher","first-page":"517","DOI":"10.3233\/jad-200153","volume":"76","author":"C Cerami","year":"2020","unstructured":"Cerami C, et al. Individual Brain Metabolic Signatures in Corticobasal Syndrome. J Alzheimers Dis. 2020;76:517\u201328. https:\/\/doi.org\/10.3233\/jad-200153.","journal-title":"J Alzheimers Dis"},{"key":"8108_CR17","doi-asserted-by":"publisher","DOI":"10.1002\/mds.70395","author":"XY Li","year":"2026","unstructured":"Li XY, et al. Brain Metabolic Signatures of Amyloid-\u03b2 and Tau Pathology in Corticobasal Syndrome: A Multimodal Biomarker Study. Mov Disord. 2026. https:\/\/doi.org\/10.1002\/mds.70395.","journal-title":"Mov Disord"},{"key":"8108_CR18","doi-asserted-by":"publisher","first-page":"2329","DOI":"10.1177\/0271678x211001216","volume":"41","author":"K Provost","year":"2021","unstructured":"Provost K, et al. Crossed cerebellar diaschisis on (18)F-FDG PET: Frequency across neurodegenerative syndromes and association with (11)C-PIB and (18)F-Flortaucipir. J Cereb Blood Flow Metab. 2021;41:2329\u201343. https:\/\/doi.org\/10.1177\/0271678x211001216.","journal-title":"J Cereb Blood Flow Metab"},{"key":"8108_CR19","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s00401-019-02087-9","volume":"139","author":"M Colin","year":"2020","unstructured":"Colin M, et al. From the prion-like propagation hypothesis to therapeutic strategies of anti-tau immunotherapy. Acta Neuropathol. 2020;139:3\u201325. https:\/\/doi.org\/10.1007\/s00401-019-02087-9.","journal-title":"Acta Neuropathol"},{"key":"8108_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cpet.2024.09.014","volume":"20","author":"T Horowitz","year":"2025","unstructured":"Horowitz T, et al. Metabolic Brain. PET Clin. 2025;20:1\u201310. https:\/\/doi.org\/10.1016\/j.cpet.2024.09.014. PET Connectivity.","journal-title":"PET Clin"},{"key":"8108_CR21","doi-asserted-by":"publisher","first-page":"4239","DOI":"10.1002\/hbm.26342","volume":"44","author":"DJ Whiteside","year":"2023","unstructured":"Whiteside DJ, et al. Network connectivity and structural correlates of survival in progressive supranuclear palsy and corticobasal syndrome. Hum Brain Mapp. 2023;44:4239\u201355. https:\/\/doi.org\/10.1002\/hbm.26342.","journal-title":"Hum Brain Mapp"},{"key":"8108_CR22","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.parkreldis.2017.03.008","volume":"39","author":"N Upadhyay","year":"2017","unstructured":"Upadhyay N, et al. Functional disconnection of thalamic and cerebellar dentate nucleus networks in progressive supranuclear palsy and corticobasal syndrome. Parkinsonism Relat Disord. 2017;39:52\u20137. https:\/\/doi.org\/10.1016\/j.parkreldis.2017.03.008.","journal-title":"Parkinsonism Relat Disord"},{"key":"8108_CR23","doi-asserted-by":"publisher","first-page":"248","DOI":"10.3389\/fneur.2017.00248","volume":"8","author":"K Bharti","year":"2017","unstructured":"Bharti K, et al. Abnormal Resting-State Functional Connectivity in Progressive Supranuclear Palsy and Corticobasal Syndrome. Front Neurol. 2017;8:248. https:\/\/doi.org\/10.3389\/fneur.2017.00248.","journal-title":"Front Neurol"},{"key":"8108_CR24","doi-asserted-by":"publisher","first-page":"1362","DOI":"10.1038\/s41467-022-28896-3","volume":"13","author":"N Franzmeier","year":"2022","unstructured":"Franzmeier N, et al. Tau deposition patterns are associated with functional connectivity in primary tauopathies. Nat Commun. 2022;13:1362. https:\/\/doi.org\/10.1038\/s41467-022-28896-3.","journal-title":"Nat Commun"},{"key":"8108_CR25","doi-asserted-by":"publisher","first-page":"fcad172","DOI":"10.1093\/braincomms\/fcad172","volume":"5","author":"EG Ellis","year":"2023","unstructured":"Ellis EG, et al. Large-scale activation likelihood estimation meta-analysis of parkinsonian disorders. Brain Commun. 2023;5:fcad172. https:\/\/doi.org\/10.1093\/braincomms\/fcad172.","journal-title":"Brain Commun"},{"key":"8108_CR26","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1111\/ene.13928","volume":"26","author":"F Di Stasio","year":"2019","unstructured":"Di Stasio F, et al. Corticobasal syndrome: neuroimaging and neurophysiological advances. Eur J Neurol. 2019;26:701\u2013e752. https:\/\/doi.org\/10.1111\/ene.13928.","journal-title":"Eur J Neurol"},{"key":"8108_CR27","doi-asserted-by":"publisher","first-page":"2486","DOI":"10.1007\/s00259-020-05175-1","volume":"48","author":"SP Caminiti","year":"2021","unstructured":"Caminiti SP, et al. Validation of FDG-PET datasets of normal controls for the extraction of SPM-based brain metabolism maps. Eur J Nucl Med Mol Imaging. 2021;48:2486\u201399. https:\/\/doi.org\/10.1007\/s00259-020-05175-1.","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"8108_CR28","doi-asserted-by":"publisher","first-page":"1357","DOI":"10.1212\/WNL.0b013e3182315259","volume":"77","author":"S Pappat\u00e0","year":"2011","unstructured":"Pappat\u00e0 S, et al. Mild cognitive impairment in drug-naive patients with PD is associated with cerebral hypometabolism. Neurology. 2011;77:1357\u201362. https:\/\/doi.org\/10.1212\/WNL.0b013e3182315259.","journal-title":"Neurology"},{"key":"8108_CR29","doi-asserted-by":"publisher","unstructured":"Mosconi L, et al. Sex-specific associations of serum cortisol with brain biomarkers of Alzheimer\u2019s risk. Sci Rep. 2024;14. https:\/\/doi.org\/10.1038\/s41598-024-56071-9.","DOI":"10.1038\/s41598-024-56071-9"},{"key":"8108_CR30","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1007\/s12021-014-9235-4","volume":"12","author":"PA Della Rosa","year":"2014","unstructured":"Della Rosa PA, et al. A standardized [18F]-FDG-PET template for spatial normalization in statistical parametric mapping of dementia. Neuroinformatics. 2014;12:575\u201393. https:\/\/doi.org\/10.1007\/s12021-014-9235-4.","journal-title":"Neuroinformatics"},{"key":"8108_CR31","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1002\/hbm.460020402","volume":"2","author":"KJ Friston","year":"1994","unstructured":"Friston KJ, et al. Statistical parametric maps in functional imaging: A general linear approach. Hum Brain Mapp. 1994;2:189\u2013210. https:\/\/doi.org\/10.1002\/hbm.460020402.","journal-title":"Hum Brain Mapp"},{"key":"8108_CR32","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1016\/s1053-8119(03)00169-1","volume":"19","author":"JA Maldjian","year":"2003","unstructured":"Maldjian JA, Laurienti PJ, Kraft RA, Burdette JH. An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. NeuroImage. 2003;19:1233\u20139. . https:\/\/doi.org\/10.1016\/s1053-8119(03)00169-1","journal-title":"NeuroImage"},{"key":"8108_CR33","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1038\/30918","volume":"393","author":"DJ Watts","year":"1998","unstructured":"Watts DJ, Strogatz SH. Collective dynamics of \u2018small-world\u2019 networks. Nature. 1998;393:440\u20132. https:\/\/doi.org\/10.1038\/30918.","journal-title":"Nature"},{"key":"8108_CR34","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","volume":"52","author":"M Rubinov","year":"2010","unstructured":"Rubinov M, Sporns O. Complex network measures of brain connectivity: uses and interpretations. NeuroImage. 2010;52:1059\u201369. https:\/\/doi.org\/10.1016\/j.neuroimage.2009.10.003.","journal-title":"NeuroImage"},{"key":"8108_CR35","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1093\/jnen\/61.11.935","volume":"61","author":"DW Dickson","year":"2002","unstructured":"Dickson DW, et al. Office of Rare Diseases neuropathologic criteria for corticobasal degeneration. J Neuropathol Exp Neurol. 2002;61:935\u201346. https:\/\/doi.org\/10.1093\/jnen\/61.11.935.","journal-title":"J Neuropathol Exp Neurol"},{"key":"8108_CR36","doi-asserted-by":"publisher","first-page":"3237","DOI":"10.1093\/brain\/aww256","volume":"139","author":"H Ling","year":"2016","unstructured":"Ling H, et al. Astrogliopathy predominates the earliest stage of corticobasal degeneration pathology. Brain. 2016;139:3237\u201352. https:\/\/doi.org\/10.1093\/brain\/aww256.","journal-title":"Brain"},{"key":"8108_CR37","doi-asserted-by":"publisher","first-page":"2309","DOI":"10.1212\/wnl.0000000000003375","volume":"87","author":"A Kikuchi","year":"2016","unstructured":"Kikuchi A, et al. In vivo visualization of tau deposits in corticobasal syndrome by 18F-THK5351 PET. Neurology. 2016;87:2309\u201316. https:\/\/doi.org\/10.1212\/wnl.0000000000003375.","journal-title":"Neurology"},{"key":"8108_CR38","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1212\/wnl.0000000000004264","volume":"89","author":"R Smith","year":"2017","unstructured":"Smith R, et al. In vivo retention of (18)F-AV-1451 in corticobasal syndrome. Neurology. 2017;89:845\u201353. https:\/\/doi.org\/10.1212\/wnl.0000000000004264.","journal-title":"Neurology"},{"key":"8108_CR39","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.neulet.2005.03.057","volume":"383","author":"R Juh","year":"2005","unstructured":"Juh R, et al. Cerebral glucose metabolism in corticobasal degeneration comparison with progressive supranuclear palsy using statistical mapping analysis. Neurosci Lett. 2005;383:22\u20137. https:\/\/doi.org\/10.1016\/j.neulet.2005.03.057.","journal-title":"Neurosci Lett"},{"key":"8108_CR40","doi-asserted-by":"publisher","first-page":"708","DOI":"10.1007\/s00234-003-1058-1","volume":"45","author":"M Ukmar","year":"2003","unstructured":"Ukmar M, et al. Corticobasal degeneration: structural and functional MRI and single-photon emission computed tomography. Neuroradiology. 2003;45:708\u201312. https:\/\/doi.org\/10.1007\/s00234-003-1058-1.","journal-title":"Neuroradiology"},{"key":"8108_CR41","doi-asserted-by":"publisher","first-page":"2428","DOI":"10.1093\/brain\/awae174","volume":"147","author":"SN Roemer","year":"2024","unstructured":"Roemer SN, et al. Subcortical tau is linked to hypoperfusion in connected cortical regions in 4-repeat tauopathies. Brain. 2024;147:2428\u201339. https:\/\/doi.org\/10.1093\/brain\/awae174.","journal-title":"Brain"},{"key":"8108_CR42","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.brainresbull.2008.09.013","volume":"78","author":"SN Haber","year":"2009","unstructured":"Haber SN, Calzavara R. The cortico-basal ganglia integrative network: the role of the thalamus. Brain Res Bull. 2009;78:69\u201374. https:\/\/doi.org\/10.1016\/j.brainresbull.2008.09.013.","journal-title":"Brain Res Bull"},{"key":"8108_CR43","first-page":"445","volume":"1","author":"PJ Magistretti","year":"1996","unstructured":"Magistretti PJ, Pellerin L. The contribution of astrocytes to the 18F-2-deoxyglucose signal in PET activation studies. Mol Psychiatry. 1996;1:445\u201352.","journal-title":"Mol Psychiatry"}],"container-title":["European Journal of Nuclear Medicine and Molecular Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00259-026-08108-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00259-026-08108-6","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00259-026-08108-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T08:31:48Z","timestamp":1790929908000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00259-026-08108-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,1]]},"references-count":43,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["8108"],"URL":"https:\/\/doi.org\/10.1007\/s00259-026-08108-6","relation":{},"ISSN":["1619-7070","1619-7089"],"issn-type":[{"value":"1619-7070","type":"print"},{"value":"1619-7089","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,1]]},"assertion":[{"value":"7 April 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 July 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 August 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This is an observational study. Approval was granted for observational study by Ethical Committee (No. CEAVC 29361_DM\/2026 and 17\/2016).","order":1,"name":"Ethics","label":"Ethics approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":2,"name":"Ethics","label":"Consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Alberto Cuocolo is an editor of this journal. The other authors have no relevant financial or non-financial interests to disclose.","order":3,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}]}}