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Tam J, Centola J, Kurucu H, Watson N, MacKenzie J, Green A, Summers D, Barria M, Seth S, Smith C, Pal S. Interpretable deep learning survival predictions in sporadic Creutzfeldt-Jakob disease. J Neurol 2024; 272:62. [PMID: 39680177 PMCID: PMC11649833 DOI: 10.1007/s00415-024-12815-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 09/27/2024] [Accepted: 09/29/2024] [Indexed: 12/17/2024]
Abstract
BACKGROUND Sporadic Creutzfeldt-Jakob disease (sCJD) is a rapidly progressive and fatal prion disease with significant public health implications. Survival is heterogenous, posing challenges for prognostication and care planning. We developed a survival model using diagnostic data from comprehensive UK sCJD surveillance. METHODS Using national CJD surveillance data from the United Kingdom (UK), we included 655 cases of probable or definite sCJD according to 2017 international consensus diagnostic criteria between 01/2017 and 01/2022. Data included symptoms at diagnosis, CSF RT-QuIC and 14-3-3, MRI and EEG findings, as well as sex, age, PRNP codon 129 polymorphism, CSF total protein and S100b. An artificial neural network based multitask logistic regression was used for survival analysis. Model-agnostic interpretation methods was used to assess the contribution of individual features on model outcome. RESULTS Our algorithm had a c-index of 0.732, IBS of 0.079, and AUC at 5 and 10 months of 0.866 and 0.872, respectively. This modestly improved on Cox proportional hazard model (c-index 0.730, IBS 0.083, AUC 0.852 and 0863) but was not statistically significant. Both models identified codon 129 polymorphism and CSF 14-3-3 to be significant predictive features. CONCLUSIONS sCJD survival can be predicted using routinely collected clinical data at diagnosis. Our analysis pipeline has similar levels of performance to classical methods and provide clinically meaningful interpretation which help deepen clinical understanding of the condition. Further development and clinical validation will facilitate improvements in prognostication, care planning, and stratification to clinical trials.
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Affiliation(s)
- Johnny Tam
- The UK National CJD Research and Surveillance Unit, Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, EH16 4TG, UK.
| | - John Centola
- The UK National CJD Research and Surveillance Unit, Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, EH16 4TG, UK
| | - Hatice Kurucu
- The UK National CJD Research and Surveillance Unit, Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, EH16 4TG, UK
| | - Neil Watson
- The UK National CJD Research and Surveillance Unit, Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, EH16 4TG, UK
| | - Janet MacKenzie
- The UK National CJD Research and Surveillance Unit, Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, EH16 4TG, UK
| | - Alison Green
- The UK National CJD Research and Surveillance Unit, Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, EH16 4TG, UK
| | - David Summers
- The UK National CJD Research and Surveillance Unit, Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, EH16 4TG, UK
| | - Marcelo Barria
- The UK National CJD Research and Surveillance Unit, Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, EH16 4TG, UK
| | - Sohan Seth
- Institute of Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, EH8 9AB, UK
| | - Colin Smith
- The UK National CJD Research and Surveillance Unit, Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, EH16 4TG, UK
| | - Suvankar Pal
- The UK National CJD Research and Surveillance Unit, Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, EH16 4TG, UK.
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Corriveau-Lecavalier N, Piura YD, Appleby BS, Shir D, Barnard LR, Gogineni V, Jones DT, Day GS. FDG-PET patterns associate with survival in patients with prion disease. Ann Clin Transl Neurol 2024; 11:3227-3237. [PMID: 39470158 DOI: 10.1002/acn3.52230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Revised: 09/05/2024] [Accepted: 09/28/2024] [Indexed: 10/30/2024] Open
Abstract
OBJECTIVE Prion disease classically presents with rapidly progressive dementia, leading to death within months of diagnosis. Advances in diagnostic testing have improved recognition of patients with atypical presentations and protracted disease courses, raising key questions surrounding the relationship between patterns of neurodegeneration and survival. We assessed the contribution of fluorodeoxyglucose (FDG-PET) imaging for this purpose. METHODS FDG-PET were performed in 40 clinic patients with prion disease. FDG-PET images were projected onto latent factors generated in an external dataset to yield patient-specific eigenvalues. Eigenvalues were input into a clustering algorithm to generate data-driven clusters, which were compared by survival time. RESULTS Median age at FDG-PET was 65.3 years (range 23-85). Median time from FDG-PET to death was 3.7 months (range 0.3-19.0). Four data-driven clusters were generated, termed "Neocortical" (n = 7), "Transitional" (n = 12), "Temporo-parietal" (n = 13), and "Deep nuclei" (n = 6). Deep nuclei and transitional clusters had a shorter survival time than the neocortical cluster. Subsequent analyses suggested that this difference was driven by greater hypometabolism of deep nuclei relative to neocortical areas. FDG-PET-patterns were not associated with demographic (age and sex) or clinical (CSF total-tau, 14-3-3) variables. INTERPRETATION Greater hypometabolism within deep nuclei relative to neocortical areas associated with more rapid decline in patients with prion disease and vice versa. FDG-PET informs large-scale network physiology and may inform the relationship between spreading pathology and survival in patients with prion disease. Future studies should consider whether FDG-PET may enrich multimodal prion disease prognostication models.
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Affiliation(s)
- Nick Corriveau-Lecavalier
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Yoav D Piura
- Department of Neurology, Mayo Clinic in Florida, Jacksonville, Florida, USA
| | - Brian S Appleby
- National Prion Disease Pathology Surveillance Center, Case Western Reserve, Cleveland, Ohio, USA
| | - Dror Shir
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Gregory S Day
- Department of Neurology, Mayo Clinic in Florida, Jacksonville, Florida, USA
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Hummerich H, Speedy H, Campbell T, Darwent L, Hill E, Collins S, Stehmann C, Kovacs GG, Geschwind MD, Frontzek K, Budka H, Gelpi E, Aguzzi A, van der Lee SJ, van Duijn CM, Liberski PP, Calero M, Sanchez-Juan P, Bouaziz-Amar E, Laplanche JL, Haïk S, Brandel JP, Mammana A, Capellari S, Poleggi A, Ladogana A, Pocchiari M, Zafar S, Booth S, Jansen GH, Areškevičiūtė A, Løbner Lund E, Glisic K, Parchi P, Hermann P, Zerr I, Appleby BS, Safar J, Gambetti P, Collinge J, Mead S. Genome wide association study of clinical duration and age at onset of sporadic CJD. PLoS One 2024; 19:e0304528. [PMID: 39079175 PMCID: PMC11280162 DOI: 10.1371/journal.pone.0304528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 05/14/2024] [Indexed: 08/02/2024] Open
Abstract
Human prion diseases are rare, transmissible and often rapidly progressive dementias. The most common type, sporadic Creutzfeldt-Jakob disease (sCJD), is highly variable in clinical duration and age at onset. Genetic determinants of late onset or slower progression might suggest new targets for research and therapeutics. We assembled and array genotyped sCJD cases diagnosed in life or at autopsy. Clinical duration (median:4, interquartile range (IQR):2.5-9 (months)) was available in 3,773 and age at onset (median:67, IQR:61-73 (years)) in 3,767 cases. Phenotypes were successfully transformed to approximate normal distributions allowing genome-wide analysis without statistical inflation. 53 SNPs achieved genome-wide significance for the clinical duration phenotype; all of which were located at chromosome 20 (top SNP rs1799990, pvalue = 3.45x10-36, beta = 0.34 for an additive model; rs1799990, pvalue = 9.92x10-67, beta = 0.84 for a heterozygous model). Fine mapping, conditional and expression analysis suggests that the well-known non-synonymous variant at codon 129 is the obvious outstanding genome-wide determinant of clinical duration. Pathway analysis and suggestive loci are described. No genome-wide significant SNP determinants of age at onset were found, but the HS6ST3 gene was significant (pvalue = 1.93 x 10-6) in a gene-based test. We found no evidence of genome-wide genetic correlation between case-control (disease risk factors) and case-only (determinants of phenotypes) studies. Relative to other common genetic variants, PRNP codon 129 is by far the outstanding modifier of CJD survival suggesting only modest or rare variant effects at other genetic loci.
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Affiliation(s)
- Holger Hummerich
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, United Kingdom
| | - Helen Speedy
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, United Kingdom
| | - Tracy Campbell
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, United Kingdom
| | - Lee Darwent
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, United Kingdom
| | - Elizabeth Hill
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, United Kingdom
| | - Steven Collins
- Australian National Creutzfeldt-Jakob Disease Registry, The Florey, Department of Medicine (RMH), The University of Melbourne, Victoria, Australia
| | - Christiane Stehmann
- Australian National Creutzfeldt-Jakob Disease Registry, The Florey, Department of Medicine (RMH), The University of Melbourne, Victoria, Australia
| | - Gabor G. Kovacs
- Department of Laboratory Medicine and Pathobiology and Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Ontario, Toronto, Canada
- Laboratory Medicine Program & Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna and Austrian Reference Center for Human Prion Diseases (ÖRPE), Vienna, Austria
| | - Michael D. Geschwind
- UCSF Memory and Aging Center, Department of Neurology, University of California, San Francisco, California, United States of America
| | - Karl Frontzek
- Institute of Neuropathology, University of Zürich, Zürich, Switzerland
| | - Herbert Budka
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna and Austrian Reference Center for Human Prion Diseases (ÖRPE), Vienna, Austria
| | - Ellen Gelpi
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna and Austrian Reference Center for Human Prion Diseases (ÖRPE), Vienna, Austria
| | - Adriano Aguzzi
- Institute of Neuropathology, University of Zürich, Zürich, Switzerland
| | - Sven J. van der Lee
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Cornelia M. van Duijn
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Pawel P. Liberski
- Department of Molecular Pathology and Neuropathology, Medical University of Lodz, Lodz, Poland
| | - Miguel Calero
- Chronic Disease Programme (UFIEC-CROSADIS) and Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Pascual Sanchez-Juan
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, Madrid, Spain
| | - Elodie Bouaziz-Amar
- Department of Biochemistry and Molecular Biology, Lariboisière Hospital, GHU AP-HP Nord, University of Paris Cité, Paris, France
| | - Jean-Louis Laplanche
- Department of Biochemistry and Molecular Biology, Lariboisière Hospital, GHU AP-HP Nord, University of Paris Cité, Paris, France
| | - Stéphane Haïk
- Paris Brain Institute (Institut du Cerveau, ICM), INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (AP-HP), Sorbonne Université, Paris, France
- Assistance Publique-Hôpitaux de Paris (AP-HP), Cellule Nationale de Référence des Maladies de Creutzfeldt-Jakob, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Jean-Phillipe Brandel
- Paris Brain Institute (Institut du Cerveau, ICM), INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (AP-HP), Sorbonne Université, Paris, France
- Assistance Publique-Hôpitaux de Paris (AP-HP), Cellule Nationale de Référence des Maladies de Creutzfeldt-Jakob, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Angela Mammana
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Sabina Capellari
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Anna Poleggi
- Department of Neuroscience, Istituto Superiore di Sanità, Rome, Italy
| | - Anna Ladogana
- Department of Neuroscience, Istituto Superiore di Sanità, Rome, Italy
| | | | - Saima Zafar
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical School, Göttingen, Germany
- Biomedical Engineering and Sciences Department, School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology, Islamabad, Pakistan
| | - Stephanie Booth
- Prion Disease Program, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Gerard H. Jansen
- Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa, Canada
| | - Aušrinė Areškevičiūtė
- Danish Reference Center for Prion Diseases, Department of Pathology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Eva Løbner Lund
- Danish Reference Center for Prion Diseases, Department of Pathology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Katie Glisic
- National Prion Disease Pathology Surveillance Center, Case Western Reserve University, Cleveland, OH, United States of America
| | - Piero Parchi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Peter Hermann
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical School, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Inga Zerr
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical School, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Brian S. Appleby
- National Prion Disease Pathology Surveillance Center, Case Western Reserve University, Cleveland, OH, United States of America
| | - Jiri Safar
- Departments of Pathology, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
| | - Pierluigi Gambetti
- Departments of Pathology, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
| | - John Collinge
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, United Kingdom
| | - Simon Mead
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, United Kingdom
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Zerr I, Ladogana A, Mead S, Hermann P, Forloni G, Appleby BS. Creutzfeldt-Jakob disease and other prion diseases. Nat Rev Dis Primers 2024; 10:14. [PMID: 38424082 DOI: 10.1038/s41572-024-00497-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/22/2024] [Indexed: 03/02/2024]
Abstract
Prion diseases share common clinical and pathological characteristics such as spongiform neuronal degeneration and deposition of an abnormal form of a host-derived protein, termed prion protein. The characteristic features of prion diseases are long incubation times, short clinical courses, extreme resistance of the transmissible agent to degradation and lack of nucleic acid involvement. Sporadic and genetic forms of prion diseases occur worldwide, of which genetic forms are associated with mutations in PRNP. Human to human transmission of these diseases has occurred due to iatrogenic exposure, and zoonotic forms of prion diseases are linked to bovine disease. Significant progress has been made in the diagnosis of these disorders. Clinical tools for diagnosis comprise brain imaging and cerebrospinal fluid tests. Aggregation assays for detection of the abnormally folded prion protein have a clear potential to diagnose the disease in peripherally accessible biofluids. After decades of therapeutic nihilism, new treatment strategies and clinical trials are on the horizon. Although prion diseases are relatively rare disorders, understanding their pathogenesis and mechanisms of prion protein misfolding has significantly enhanced the field in research of neurodegenerative diseases.
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Affiliation(s)
- Inga Zerr
- National Reference Center for CJD Surveillance, Department of Neurology, University Medical Center, Georg August University, Göttingen, Germany.
| | - Anna Ladogana
- Department of Neuroscience, Istituto Superiore di Sanità, Rome, Italy
| | - Simon Mead
- MRC Prion Unit at UCL, Institute of Prion Diseases, London, UK
| | - Peter Hermann
- National Reference Center for CJD Surveillance, Department of Neurology, University Medical Center, Georg August University, Göttingen, Germany
| | - Gianluigi Forloni
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Brian S Appleby
- Departments of Neurology, Psychiatry and Pathology, Case Western Reserve University, Cleveland, OH, USA
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Bentivenga GM, Baiardi S, Mastrangelo A, Zenesini C, Mammana A, Polischi B, Capellari S, Parchi P. Diagnostic and prognostic value of cerebrospinal fluid SNAP-25 and neurogranin in Creutzfeldt-Jakob disease in a clinical setting cohort of rapidly progressive dementias. Alzheimers Res Ther 2023; 15:150. [PMID: 37684653 PMCID: PMC10485978 DOI: 10.1186/s13195-023-01300-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 08/27/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND The levels of synaptic markers synaptosomal-associated protein 25 (SNAP-25) and neurogranin (Ng) have been shown to increase early in the cerebrospinal fluid (CSF) of patients with Creutzfeldt-Jakob disease (CJD) and to have prognostic potential. However, no validation studies assessed these biomarkers' diagnostic and prognostic value in a large clinical setting cohort of rapidly progressive dementia. METHODS In this retrospective study, using commercially available immunoassays, we measured the levels of SNAP-25, Ng, 14-3-3, total-tau (t-tau), neurofilament light chain (NfL), and phospho-tau181 (p-tau) in CSF samples from consecutive patients with CJD (n = 220) or non-prion rapidly progressive dementia (np-RPD) (n = 213). We evaluated and compared the diagnostic accuracy of each CSF biomarker and biomarker combination by receiver operating characteristics curve (ROC) analyses, studied SNAP-25 and Ng CSF concentrations distribution across CJD subtypes, and estimated their association with survival using multivariable Cox regression analyses. RESULTS CSF SNAP-25 and Ng levels were higher in CJD than in np-RPD (SNAP-25: 582, 95% CI 240-1250 vs. 115, 95% CI 78-157 pg/ml, p < 0.0001; Ng: 841, 95% CI 411-1473 vs. 390, 95% CI 260-766 pg/ml, p < 0.001). SNAP-25 diagnostic accuracy (AUC 0.902, 95% CI 0.873-0.931) exceeded that of 14-3-3 (AUC 0.853, 95% CI 0.816-0.889), t-tau (AUC 0.878, 95% CI 0.845-0.901), and the t-tau/p-tau ratio (AUC 0.884, 95% CI 0.851-0.916). In contrast, Ng performed worse (AUC 0.697, 95% CI 0.626-0.767) than all other surrogate biomarkers, except for NfL (AUC 0.649, 95% CI 0.593-0.705). SNAP-25 maintained a relatively high diagnostic value even for atypical CJD subtypes (AUC 0.792, 95% CI 0.729-0.854). In Cox regression analyses, SNAP-25 levels were significantly associated with survival in CJD (hazard ratio [HR] 1.71 95% CI 1.40-2.09). Conversely, Ng was associated with survival only in the most rapidly progressive CJD subtypes (sCJD MM(V)1 and gCJD M1) (HR 1.81 95% CI 1.21-2.93). CONCLUSIONS In the clinical setting, CSF SNAP-25 is a viable alternative to t-tau, 14-3-3, and the t-tau/p-tau ratio in discriminating the CJD subtypes from other RPDs. Additionally, SNAP-25 and, to a lesser extent, Ng predict survival in CJD, showing prognostic power in the range of CSF t-tau/14-3-3 and NfL, respectively.
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Affiliation(s)
| | - Simone Baiardi
- Department of Biomedical and Neuromotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
| | - Andrea Mastrangelo
- Department of Biomedical and Neuromotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
| | - Corrado Zenesini
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Programma Neuropatologia delle Malattie Neurodegenerative, Bologna, Italy
| | - Angela Mammana
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Programma Neuropatologia delle Malattie Neurodegenerative, Bologna, Italy
| | - Barbara Polischi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Programma Neuropatologia delle Malattie Neurodegenerative, Bologna, Italy
| | - Sabina Capellari
- Department of Biomedical and Neuromotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Programma Neuropatologia delle Malattie Neurodegenerative, Bologna, Italy
| | - Piero Parchi
- Department of Biomedical and Neuromotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy.
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Programma Neuropatologia delle Malattie Neurodegenerative, Bologna, Italy.
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