148 results on '"Cosseddu M"'
Search Results
2. Assessing frailty at the centers for dementia and cognitive decline in Italy: potential implications for improving care of older people living with dementia
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Bellelli, G., Zucchelli, A., Benussi, A., Pinardi, E., Caratozzolo, S., Ornago, A.M., Cosseddu, M., Stella, V., Turrone, R., Massariello, F., Marengoni, A., and Padovani, A.
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- 2023
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3. Assessing frailty at the centers for dementia and cognitive decline in Italy: potential implications for improving care of older people living with dementia
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Bellelli, G, Zucchelli, A, Benussi, A, Pinardi, E, Caratozzolo, S, Ornago, A M, Cosseddu, M, Stella, V, Turrone, R, Massariello, F, Marengoni, A, Padovani, A, Bellelli, G, Zucchelli, A, Benussi, A, Pinardi, E, Caratozzolo, S, Ornago, A, Cosseddu, M, Stella, V, Turrone, R, Massariello, F, Marengoni, A, and Padovani, A
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Elderly ,Frailty index ,Frailty ,Dementia ,Personalized medicine ,Cognitive disorder - Abstract
Introduction: Frailty is strongly associated with the clinical course of cognitive impairment and dementia, thus arguing for the need of its assessment in individuals affected by cognitive deficits. This study aimed to retrospectively evaluate frailty in patients aged 65 years and older referred to two Centers for Cognitive Decline and Dementia (CCDDs). Methods: A total of 1256 patients consecutively referred for a first visit to two CCDDs in Lombardy (Italy) between January 2021 to July 2022 were included. All patients were evaluated by an expert physician in diagnosis and care of dementia according to a standardized clinical protocol. Frailty was assessed using a 24-items Frailty Index (FI) based on routinely collected health records, excluding cognitive decline or dementia, and categorized as mild, moderate, and severe. Results: Overall, 40% of patients were affected by mild frailty and 25% of the sample has moderate to severe frailty. The prevalence and severity of frailty increased with decreasing Mini Mental State Examination (MMSE) score and advancing age. Frailty was also detected in 60% of patients with mild cognitive impairment. Conclusion: Frailty is common in patients referring to CCDDs for cognitive deficits. Its systematic assessment using a FI generated with readily available medical information could help develop appropriate models of assistance and guide personalization of care.
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- 2023
4. Vortioxetine Treatment for Depression in Patients with Prodromal vs Mild Alzheimer’s Disease: A Six-Month, Open-Label, Observational Study
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Padovani, A., primary, Caratozzolo, S., additional, Benussi, A., additional, Galli, A., additional, Rozzini, L., additional, Cosseddu, M., additional, Turrone, R., additional, and Pilotto, A., additional
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- 2023
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5. Modelling the cascade of biomarker changes in GRN-related frontotemporal dementia
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Panman, J. L., Venkatraghavan, V., Van Der Ende, E. L., Steketee, R. M. E., Jiskoot, L. C., Poos, J. M., Dopper, E. G. P., Meeter, L. H. H., Kaat, L. D., Rombouts, S. A. R. B., Vernooij, M. W., Kievit, A. J. A., Premi, E., Cosseddu, M., Bonomi, E., Olives, J., Rohrer, J. D., Sanchez-Valle, R., Borroni, B., Bron, E. E., Van Swieten, J. C., Papma, J. M., Klein, S., Afonso, S., Almeida, M. R., Anderl-Straub, S., Andersson, C., Antonell, A., Archetti, S., Arighi, A., Balasa, M., Barandiaran, M., Bargallo, N., Bartha, R., Bender, B., Black, S., Butler, C., Bocchetta, M., Borrego-Ecija, S., Bras, J., Bruffaerts, R., Caroppo, P., Cash, D., Castelo-Branco, M., Convery, R., Cope, T., Danek, A., De Arriba, M., De Mendonca, A., Di Fede, G., Diaz, Z., Ducharme, S., Duro, D., Fenoglio, C., Ferreira, C. B., Finger, E., Flanagan, T., Fox, N., Freedman, M., Fumagalli, G., Gabilondo, A., Galimberti, D., Gasparotti, R., Gauthier, S., Gazzina, S., Gerhard, A., Giaccone, G., Gorostidi, A., Graff, C., Greaves, C., Guerreiro, R., Heller, C., Hoegen, T., Indakoetxea, B., Jelic, V., Karnath, H. -O., Keren, R., Laforce, R., Leitao, M. J., Levin, J., Llado, A., Loosli, S., Maruta, C., Masellis, M., Mead, S., Miltenberger, G., Van Minkelenm Sara Mitchell, R., Moore, K., Moreno, F., Nicholas, J., Oijerstedt, L., Otto, M., Ourselin, S., Padovani, A., Peakman, G., Pijnenburg, Y., Polito, C., Prioni, S., Prix, C., Rademakers, R., Redaelli, V., Rittman, T., Rogaeva, E., Rosa-Neto, P., Rossi, G., Rosser, M., Rowe, J., Santana, I., Santiago, B., Scarpini, E., Schonecker, S., Shafei, E. S. R., Shoesmith, C., Synofzik, M., Tabuas-Pereira, M., Tagliavini, F., Tartaglia, C., Tainta, M., Taipa, R., Tang-Wai, D., Thomas, D. L., Thonberg, H., Timberlake, C., Tiraboschi, P., Todd, E., Vandamme, P., Vandenberghe, R., Vandenbulcke, M., Veldsman, M., Verdelho, A., Villanua, J., Warren, J., Wilkeione, C., Elisabeth, W., Henrik, W., Zulaica, Z. M., Neurology, Physics and medical technology, Radiology & Nuclear Medicine, Clinical Genetics, and Medical Research Council
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Male ,Oncology ,Disease ,Neuropsychological Tests ,GENFI consortium investigators ,Primary progressive aphasia ,Cognition ,Progranulins ,0302 clinical medicine ,Neurofilament Proteins ,BEHAVIORAL VARIANT ,HETEROGENEITY ,Gray Matter ,11 Medical and Health Sciences ,Language ,Psychiatry ,0303 health sciences ,Brain ,Middle Aged ,Magnetic Resonance Imaging ,White Matter ,17 Psychology and Cognitive Sciences ,ALZHEIMERS-DISEASE ,Psychiatry and Mental health ,Phenotype ,medicine.anatomical_structure ,Frontotemporal Dementia ,Disease Progression ,Biomarker (medicine) ,Female ,Life Sciences & Biomedicine ,Frontotemporal dementia ,medicine.medical_specialty ,Clinical Neurology ,EVENT-BASED MODEL ,Grey matter ,Lateralization of brain function ,White matter ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Internal medicine ,NEUROFILAMENT LIGHT-CHAIN ,medicine ,Humans ,LOBAR DEGENERATION ,PROGRANULIN ,Aged ,030304 developmental biology ,Science & Technology ,Neurology & Neurosurgery ,business.industry ,DISEASE PROGRESSION ,medicine.disease ,Mutation ,WHITE-MATTER INTEGRITY ,Surgery ,Neurosciences & Neurology ,Neurology (clinical) ,business ,GENFI ,Biomarkers ,030217 neurology & neurosurgery ,Progressive disease - Abstract
ObjectiveProgranulin-related frontotemporal dementia (FTD-GRN) is a fast progressive disease. Modelling the cascade of multimodal biomarker changes aids in understanding the aetiology of this disease and enables monitoring of individual mutation carriers. In this cross-sectional study, we estimated the temporal cascade of biomarker changes for FTD-GRN, in a data-driven way.MethodsWe included 56 presymptomatic and 35 symptomatic GRN mutation carriers, and 35 healthy non-carriers. Selected biomarkers were neurofilament light chain (NfL), grey matter volume, white matter microstructure and cognitive domains. We used discriminative event-based modelling to infer the cascade of biomarker changes in FTD-GRN and estimated individual disease severity through cross-validation. We derived the biomarker cascades in non-fluent variant primary progressive aphasia (nfvPPA) and behavioural variant FTD (bvFTD) to understand the differences between these phenotypes.ResultsLanguage functioning and NfL were the earliest abnormal biomarkers in FTD-GRN. White matter tracts were affected before grey matter volume, and the left hemisphere degenerated before the right. Based on individual disease severities, presymptomatic carriers could be delineated from symptomatic carriers with a sensitivity of 100% and specificity of 96.1%. The estimated disease severity strongly correlated with functional severity in nfvPPA, but not in bvFTD. In addition, the biomarker cascade in bvFTD showed more uncertainty than nfvPPA.ConclusionDegeneration of axons and language deficits are indicated to be the earliest biomarkers in FTD-GRN, with bvFTD being more heterogeneous in disease progression than nfvPPA. Our data-driven model could help identify presymptomatic GRN mutation carriers at risk of conversion to the clinical stage.
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- 2021
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6. Results from a pilot study on amiodarone administration in monogenic frontotemporal dementia with granulin mutation
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Alberici, A., Archetti, S., Pilotto, A., Premi, E., Cosseddu, M., Bianchetti, A., Semeraro, F., Salvetti, M., Muiesan, M. L., Padovani, A., and Borroni, B.
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- 2014
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7. Left parietal cortex transcranial direct current stimulation enhances gesture processing in corticobasal syndrome
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Bianchi, M., Cosseddu, M., Cotelli, M., Manenti, R., Brambilla, M., Rizzetti, M. C., Padovani, A., and Borroni, B.
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- 2015
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8. The brain in late-onset glycogenosis II: a structural and functional MRI study
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Borroni, Barbara, Cotelli, M. S., Premi, E., Gazzina, S., Cosseddu, M., Formenti, A., Gasparotti, R., Filosto, M., and Padovani, A.
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- 2013
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9. Disease-related cortical thinning in presymptomatic granulin mutation carriers
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Borrego-Écija, S. (Sergi), Sala-Llonch, R. (Roser), Swieten, J.C. (John) van, Borroni, B. (Barbara), Moreno, F. (Fermin), Masellis, M. (Mario), Tartaglia, C. (Carmela), Graff, C. (Caroline), Galimberti, D. (Daniela), Laforce, R. (Robert), Rowe, J.B. (James), Finger, E. (Elizabeth), Vandenberghe, R. (Rik), Tagliavini, F. (Fabrizio), De Mendonça, A. (Alexandre), Santana, I. (Isabel), Synofzik, M. (Matthis), Ducharme, S. (Simon), Levin, J. (Johannes), Danek, A. (Adrian), Gerhard, A. (Alex), Otto, M. (Markus), Butler, C. (Chris), Frisoni, G.B. (Giovanni B.), Sorbi, S. (Sandro), Heller, C. (Carolin), Bocchetta, M. (Martina), Cash, D.M. (David M), Convery, R.S. (Rhian S), Moore, K.M. (Katrina M), Rohrer, J.D. (Jonathan), Sánchez-Valle, R. (Raquel), Rossor, M.N. (Martin N.), Fox, N.C. (Nick), Woollacott, I.O.C. (Ione O.C.), Shafei, R. (Rachelle), Greaves, C. (Caroline), Neason, M. (Mollie), Guerreiro, R. (Rita), Bras, J. (Jose), Thomas, D.L. (David L), Nicholas, J. (Jennifer), Mead, S. (Simon), Meeter, L.H.H. (Lieke), Panman, J.L. (Jessica), Papma, J.M. (Janne), Thornton, A.S. (Andrew), Pijnenburg, Y.A.L. (Yolande), Indakoetxea, B. (Begoña), Gabilondo, A. (Alazne), TaintaMD, M. (Mikel), de Arriba, M. (Maria), Gorostidi, A. (Ana), Zulaica, M. (Miren), Villanua, J. (Jorge), Diaz, Z. (Zigor), Olives, J. (Jaume), Lladó, A. (Albert), Balasa, M. (Mircea), Antonell, A. (Anna), Bargallo, N. (Nuria), Premi, E. (Enrico), Cosseddu, M. (Maura), Gazzina, S. (Stefano), Padovani, A. (Alessandro), Gasparotti, R. (Roberto), Archetti, S. (Silvana), Black, S. (Sandra), Mitchell, S. (Sara), Rogaeva, E. (Ekaterina), Freedman, M. (Morris), Keren, R. (Ron), Tang-Wai, D. (David), Öijerstedt, L. (Linn), Andersson, C. (Christin), Jelic, S. (Svetislav Svetislav), Thonberg, H. (Håkan), Arighi, A. (Andrea), Fenoglio, C. (Chiara), Scarpini MD, E. (Elio), Fumagalli, G. (Giorgio), Cope, T. (Thomas), Timberlake, C. (Carolyn), Rittman, T. (Timothy), Shoesmith, C. (Christen), Bartha, R. (Robart), Rademakers, S. (Suzanne), Wilke, C. (Carlo), Bender, B. (Benjamin), Bruffaerts, R. (Rose), Vandamme, P. (Philip), Vandenbulcke, M. (Mathieu), Maruta, C. (Carolina), Ferreira, C.B. (Catarina B.), Miltenberger, G. (Gabriel), Verdelho, A. (Ana), Afonso, S. (Sónia), Taipa, R. (Ricardo), Caroppo, P. (Paola), Di Fede, G. (Giuseppe), Giaccone, G. (Giorgio), Prioni, S. (Sara), Redaelli, V. (Veronica), Rossi, G. (Giacomina), Tiraboschi, P. (Pietro), Duro, D. (Diana), Rosario Almeida, M. (Maria), Castelo-Branco, M. (Miguel), João Leitão, M. (Maria), Tabuas-Pereira, M. (Miguel), Santiago, B. (Beatriz), Gauthier, S. (Serge), Rosa-Neto, P. (Pedro), Veldsman, M. (Michele), Flanagan, T. (Toby), Prix, C. (Catharina), Hoegen, T. (Tobias), Wlasich, E. (Elisabeth), Loosli, S. (Sandra), Schonecker, S. (Sonja), Semler, E. (Elisa), Anderl-Straub, S. (Sarah), Borrego-Écija, S. (Sergi), Sala-Llonch, R. (Roser), Swieten, J.C. (John) van, Borroni, B. (Barbara), Moreno, F. (Fermin), Masellis, M. (Mario), Tartaglia, C. (Carmela), Graff, C. (Caroline), Galimberti, D. (Daniela), Laforce, R. (Robert), Rowe, J.B. (James), Finger, E. (Elizabeth), Vandenberghe, R. (Rik), Tagliavini, F. (Fabrizio), De Mendonça, A. (Alexandre), Santana, I. (Isabel), Synofzik, M. (Matthis), Ducharme, S. (Simon), Levin, J. (Johannes), Danek, A. (Adrian), Gerhard, A. (Alex), Otto, M. (Markus), Butler, C. (Chris), Frisoni, G.B. (Giovanni B.), Sorbi, S. (Sandro), Heller, C. (Carolin), Bocchetta, M. (Martina), Cash, D.M. (David M), Convery, R.S. (Rhian S), Moore, K.M. (Katrina M), Rohrer, J.D. (Jonathan), Sánchez-Valle, R. (Raquel), Rossor, M.N. (Martin N.), Fox, N.C. (Nick), Woollacott, I.O.C. (Ione O.C.), Shafei, R. (Rachelle), Greaves, C. (Caroline), Neason, M. (Mollie), Guerreiro, R. (Rita), Bras, J. (Jose), Thomas, D.L. (David L), Nicholas, J. (Jennifer), Mead, S. (Simon), Meeter, L.H.H. (Lieke), Panman, J.L. (Jessica), Papma, J.M. (Janne), Thornton, A.S. (Andrew), Pijnenburg, Y.A.L. (Yolande), Indakoetxea, B. (Begoña), Gabilondo, A. (Alazne), TaintaMD, M. (Mikel), de Arriba, M. (Maria), Gorostidi, A. (Ana), Zulaica, M. (Miren), Villanua, J. (Jorge), Diaz, Z. (Zigor), Olives, J. (Jaume), Lladó, A. (Albert), Balasa, M. (Mircea), Antonell, A. (Anna), Bargallo, N. (Nuria), Premi, E. (Enrico), Cosseddu, M. (Maura), Gazzina, S. (Stefano), Padovani, A. (Alessandro), Gasparotti, R. (Roberto), Archetti, S. (Silvana), Black, S. (Sandra), Mitchell, S. (Sara), Rogaeva, E. (Ekaterina), Freedman, M. (Morris), Keren, R. (Ron), Tang-Wai, D. (David), Öijerstedt, L. (Linn), Andersson, C. (Christin), Jelic, S. (Svetislav Svetislav), Thonberg, H. (Håkan), Arighi, A. (Andrea), Fenoglio, C. (Chiara), Scarpini MD, E. (Elio), Fumagalli, G. (Giorgio), Cope, T. (Thomas), Timberlake, C. (Carolyn), Rittman, T. (Timothy), Shoesmith, C. (Christen), Bartha, R. (Robart), Rademakers, S. (Suzanne), Wilke, C. (Carlo), Bender, B. (Benjamin), Bruffaerts, R. (Rose), Vandamme, P. (Philip), Vandenbulcke, M. (Mathieu), Maruta, C. (Carolina), Ferreira, C.B. (Catarina B.), Miltenberger, G. (Gabriel), Verdelho, A. (Ana), Afonso, S. (Sónia), Taipa, R. (Ricardo), Caroppo, P. (Paola), Di Fede, G. (Giuseppe), Giaccone, G. (Giorgio), Prioni, S. (Sara), Redaelli, V. (Veronica), Rossi, G. (Giacomina), Tiraboschi, P. (Pietro), Duro, D. (Diana), Rosario Almeida, M. (Maria), Castelo-Branco, M. (Miguel), João Leitão, M. (Maria), Tabuas-Pereira, M. (Miguel), Santiago, B. (Beatriz), Gauthier, S. (Serge), Rosa-Neto, P. (Pedro), Veldsman, M. (Michele), Flanagan, T. (Toby), Prix, C. (Catharina), Hoegen, T. (Tobias), Wlasich, E. (Elisabeth), Loosli, S. (Sandra), Schonecker, S. (Sonja), Semler, E. (Elisa), and Anderl-Straub, S. (Sarah)
- Abstract
Mutations in the granulin gene (GRN) cause familial frontotemporal dementia. Understanding the structural brain changes in presymptomatic GRN carriers would enforce the use of neuroimaging biomarkers for early diagnosis and monitoring. We studied 100 presymptomatic GRN mutation carriers and 94 noncarriers from the Genetic Frontotemporal dementia initiative (GENFI), with MRI structural images. We analyzed 3T MRI structural images using the FreeSurfer pipeline to calculate the whole brain cortical thickness (CTh) for each subject. We also perform a vertex-wise general linear model to assess differences between groups in the relationship between CTh and diverse covariables as gender, age, the estimated years to onset and education. We also explored differences according to TMEM106B genotype, a possible disease modifier. Whole brain CTh did not differ between carriers and noncarriers. Both groups showed age-related cortical thinning. The group-by-age interaction analysis showed that this age-related cortical thinning was significantly greater in GRN carriers in the left superior frontal cortex. TMEM106B did not significantly influence the age-related cortical thinning. Our results validate and expand previous findings suggesting an
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- 2021
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10. Abnormal pain perception is associated with thalamo-cortico-striatal atrophy in C9orf72 expansion carriers in the GENFI cohort
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Convery, Rhian S, Bocchetta, Martina, Masellis, Mario, Afonso, S., Taipa, R., Caroppo, P., Di Fede, G., Giaccone, G., Prioni, S., Redaelli, V., Rossi, G., Tiraboschi, P., Duro, D., Tartaglia, Maria Carmela, Almeida, M. R., Branco, M. C., Leitão, M. J., Tabuas-Pereira, M., Santiago, B., Gauthier, S., Rosa-Neto, P., Veldsman, M., Flanagan, T., Prix, C., Graff, Caroline, Hoegen, T., Wlasich, E., Loosli, S., Schonecker, S., Semler, E., Anderl-Straub, S., Galimberti, Daniela, Rowe, James B, Finger, Elizabeth, Synofzik, Matthis, Vandenberghe, Rik, de Mendonca, Alexandre, Tagliavini, Fabrizio, Greaves, Caroline V, Santana, Isabel, Ducharme, Simon, Butler, Christopher, Gerhard, Alex, Levin, Johannes, Danek, Adrian, Otto, Markus, Warren, Jason D, Rohrer, Jonathan D, Initiative, Genetic FTD, Moore, Katrina M, Rossor, M. N., Fox, N. C., Woollacott, I. O. C., Shafei, R., Heller, C., Peakman, G., Swift, I., Todd, E., Guerreiro, R., Bras, J., Cash, David M, Thomas, D. L., Nicholas, J., Mead, S., Jiskoot, L., Meeter, L., Panman, J., Papma, J., van Minkelen, R., Pijnenburg, Y., Barandiara, M., Van Swieten, John, Indakoetxea, B., Gabilondo, A., Tainta, M., de Arriba, M., Gorostidi, A., Zulaica, M., Villanua, J., Diaz, Z., Borrego-Ecija, S., Olives, J., Moreno, Fermin, Lladó, A., Balasa, M., Antonell, A., Bargallo, N., Premi, E., Cosseddu, M., Gazzina, S., Padovani, A., Gasparotti, R., Archetti, S., Sánchez-Valle, Raquel, Black, S., Mitchell, S., Rogaeva, E., Freedman, M., Keren, R., Tang-Wai, D., Öijerstedt, L., Andersson, C., Jelic, V., Thonberg, H., Borroni, Barbara, Arighi, A., Fenoglio, C., Scarpini, E., Fumagalli, G., Cope, T., Timberlake, C., Rittman, T., Shoesmith, C., Bartha, R., Rademakers, R., Laforce, Robert, Wilke, C., Karnarth, H-O, Bender, B., Bruffaerts, R., Vandamme, P., Vandenbulcke, M., Ferreira, C. B., Miltenberger, G., Maruta, C., Verdelho, A., Convery, Rhian S [0000-0002-9477-1812], Bocchetta, Martina [0000-0003-1814-5024], Greaves, Caroline V [0000-0002-6446-1960], Moore, Katrina M [0000-0002-4458-8390], Van Swieten, John [0000-0001-6278-6844], Borroni, Barbara [0000-0001-9340-9814], Rowe, James B [0000-0001-7216-8679], Finger, Elizabeth [0000-0003-4461-7427], Otto, Markus [0000-0002-6647-5944], Rohrer, Jonathan D [0000-0002-6155-8417], Apollo - University of Cambridge Repository, Neurology, and Repositório da Universidade de Lisboa
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Male ,diagnostic imaging [Corpus Striatum] ,Medizin ,Somatosensory system ,physiopathology [Frontotemporal Dementia] ,frontotemporal dementia ,Cohort Studies ,genetics [Progranulins] ,0302 clinical medicine ,Progranulins ,Thalamus ,C9orf72 ,Cerebellum ,diagnostic imaging [Cerebral Cortex] ,pathology [Cerebellum] ,Medicine ,pain ,genetics [Frontotemporal Dementia] ,Cerebral Cortex ,0303 health sciences ,DNA Repeat Expansion ,Pain Perception ,Middle Aged ,Magnetic Resonance Imaging ,Temporal Lobe ,Psychiatry and Mental health ,Cohort ,diagnostic imaging [Prefrontal Cortex] ,Female ,Frontotemporal dementia ,genetics [Atrophy] ,Adult ,medicine.medical_specialty ,pathology [Corpus Striatum] ,Pain ,Prefrontal Cortex ,genetics [Perceptual Disorders] ,MAPT protein, human ,tau Proteins ,diagnostic imaging [Frontotemporal Dementia] ,Temporal lobe ,Perceptual Disorders ,03 medical and health sciences ,Atrophy ,pathology [Thalamus] ,Internal medicine ,Humans ,ddc:610 ,genetics [C9orf72 Protein] ,030304 developmental biology ,diagnostic imaging [Perceptual Disorders] ,Aged ,diagnostic imaging [Thalamus] ,C9orf72 Protein ,business.industry ,pathology [Temporal Lobe] ,diagnostic imaging [Atrophy] ,physiopathology [Atrophy] ,medicine.disease ,diagnostic imaging [Cerebellum] ,pathology [Prefrontal Cortex] ,Corpus Striatum ,physiopathology [Perceptual Disorders] ,genetics [tau Proteins] ,diagnostic imaging [Temporal Lobe] ,Logistic Models ,Asymptomatic Diseases ,Mutation ,GRN protein, human ,Surgery ,Orbitofrontal cortex ,pathology [Cerebral Cortex] ,Neurology (clinical) ,C9orf72 protein, human ,business ,030217 neurology & neurosurgery - Abstract
© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. published by BMJ., Objective: Frontotemporal dementia (FTD) is typically associated with changes in behaviour, language and movement. However, recent studies have shown that patients can also develop an abnormal response to pain, either heightened or diminished. We aimed to investigate this symptom in mutation carriers within the Genetic FTD Initiative (GENFI). Methods: Abnormal responsiveness to pain was measured in 462 GENFI participants: 281 mutation carriers and 181 mutation-negative controls. Changes in responsiveness to pain were scored as absent (0), questionable or very mild (0.5), mild (1), moderate (2) or severe (3). Mutation carriers were classified into C9orf72 (104), GRN (128) and MAPT (49) groups, and into presymptomatic and symptomatic stages. An ordinal logistic regression model was used to compare groups, adjusting for age and sex. Voxel-based morphometry was performed to identify neuroanatomical correlates of abnormal pain perception. Results: Altered responsiveness to pain was present to a significantly greater extent in symptomatic C9orf72 expansion carriers than in controls: mean score 0.40 (SD 0.71) vs 0.00 (0.04), reported in 29% vs 1%. No significant differences were seen between the other symptomatic groups and controls, or any of the presymptomatic mutation carriers and controls. Neural correlates of altered pain perception in C9orf72 expansion carriers were the bilateral thalamus and striatum as well as a predominantly right-sided network of regions involving the orbitofrontal cortex, inferomedial temporal lobe and cerebellum. Conclusion: Changes in pain perception are a feature of C9orf72 expansion carriers, likely representing a disruption in somatosensory, homeostatic and semantic processing, underpinned by atrophy in a thalamo-cortico-striatal network.
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- 2020
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11. Analysis of brain atrophy and local gene expression in genetic frontotemporal dementia
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Altmann, A., Cash, D. M., Bocchetta, M., Heller, C., Reynolds, R., Moore, K., Convery, R. S., Thomas, D. L., Van Swieten, J. C., Moreno, F., Sanchez-Valle, R., Borroni, B., Laforce, R., Masellis, M., Tartaglia, M. C., Graff, C., Galimberti, D., Rowe, J. B., Finger, E., Synofzik, M., Vandenberghe, R., De Mendonca, A., Tagliavini, F., Santana, I., Ducharme, S., Butler, C. R., Gerhard, A., Levin, J., Danek, A., Frisoni, G., Ghidoni, R., Sorbi, S., Otto, M., Ryten, M., Rohrer, J. D., Greaves, C., Peakman, G., Shafei, R., Todd, E., Rossor, M. N., Warren, J. D., Fox, N. C., Zetterberg, H., Guerreiro, R., Bras, J., Nicholas, J., Mead, S., Jiskoot, L., Meeter, L., Panman, J., Papma, J. M., Van Minkelen, R., Pijnenburg, Y., Barandiaran, M., Indakoetxea, B., Gabilondo, A., Tainta, M., De Arriba, M., Gorostidi, A., Zulaica, M., Villanua, J., Diaz, Z., Borrego-Ecija, S., Olives, J., Llado, A., Balasa, M., Antonell, A., Bargallo, N., Premi, E., Cosseddu, M., Gazzina, S., Padovani, A., Gasparotti, R., Archetti, S., Black, S., Mitchell, S., Rogaeva, E., Freedman, M., Keren, R., Tang-Wai, D., Oijerstedt, L., Andersson, C., Jelic, V., Thonberg, H., Arighi, A., Fenoglio, C., Scarpini, E., Fumagalli, G., Cope, T., Timberlake, C., Rittman, T., Shoesmith, C., Bartha, R., Rademakers, R., Wilke, C., Karnarth, H. -O., Bender, B., Bruffaerts, R., Van Damme, P., Vandenbulcke, M., Ferreira, C. B., Miltenberger, G., Maruta, C., Verdelho, A., Afonso, S., Taipa, R., Caroppo, P., Di Fede, G., Giaccone, G., Prioni, S., Redaelli, V., Rossi, G., Tiraboschi, P., Duro, D., Almeida, M. R., Castelo-Branco, M., Leitao, M. J., Tabuas-Pereira, M., Santiago, B., Gauthier, S., Rosa-Neto, P., Veldsman, M., Thompson, P., Langheinrich, T., Prix, C., Hoegen, T., Wlasich, E., Loosli, S., Schonecker, S., Semler, E., Anderl-Straub, S., Benussi, L., Binetti, G., Pievani, M., Lombardi, G., Nacmias, B., Ferrari, C., Bessi, V., Polito, C., Rowe, James [0000-0001-7216-8679], Apollo - University of Cambridge Repository, Medical Research Council, and Genetic FTD Initiative, GENFI
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0301 basic medicine ,Cell type ,Imaging genetics ,Clinical Neurology ,Medizin ,Biology ,Article ,DISEASE ,03 medical and health sciences ,0302 clinical medicine ,Atrophy ,atrophy ,C9orf72 ,Gene expression ,medicine ,Astrocytes ,Frontotemporal dementia ,ddc:610 ,10. No inequality ,Gene ,030304 developmental biology ,Genetics ,0303 health sciences ,Science & Technology ,TREM2 ,AcademicSubjects/SCI01870 ,Neurodegeneration ,General Engineering ,C9orf72 Gene ,Neurosciences ,astrocytes ,Genetic FTD Initiative, GENFI ,medicine.disease ,C9orf72 Protein ,030104 developmental biology ,gene expression ,imaging genetics ,Original Article ,AcademicSubjects/MED00310 ,Human medicine ,Neurosciences & Neurology ,Life Sciences & Biomedicine ,030217 neurology & neurosurgery - Abstract
Frontotemporal dementia is a heterogeneous neurodegenerative disorder characterized by neuronal loss in the frontal and temporal lobes. Despite progress in understanding which genes are associated with the aetiology of frontotemporal dementia, the biological basis of how mutations in these genes lead to cell loss in specific cortical regions remains unclear. In this work, we combined gene expression data for 16 772 genes from the Allen Institute for Brain Science atlas with brain maps of grey matter atrophy in symptomatic C9orf72, GRN and MAPT mutation carriers obtained from the Genetic Frontotemporal dementia Initiative study. No significant association was seen between C9orf72, GRN and MAPT expression and the atrophy patterns in the respective genetic groups. After adjusting for spatial autocorrelation, between 1000 and 5000 genes showed a negative or positive association with the atrophy pattern within each individual genetic group, with the most significantly associated genes being TREM2, SSBP3 and GPR158 (negative association in C9Orf72, GRN and MAPT respectively) and RELN, MXRA8 and LPA (positive association in C9Orf72, GRN and MAPT respectively). An overrepresentation analysis identified a negative association with genes involved in mitochondrial function, and a positive association with genes involved in vascular and glial cell function in each of the genetic groups. A set of 423 and 700 genes showed significant positive and negative association, respectively, with atrophy patterns in all three maps. The gene set with increased expression in spared cortical regions was enriched for neuronal and microglial genes, while the gene set with increased expression in atrophied regions was enriched for astrocyte and endothelial cell genes. Our analysis suggests that these cell types may play a more active role in the onset of neurodegeneration in frontotemporal dementia than previously assumed, and in the case of the positively associated cell marker genes, potentially through emergence of neurotoxic astrocytes and alteration in the blood–brain barrier, respectively., Altmann et al. investigated the concordance between spatial cortical gene expression in healthy subjects and atrophy patterns in genetic frontotemporal dementia. They found that elevated gene expression of endothelial cell and astrocyte-related genes in regions with atrophy, suggesting a role of these cell types in the aetiology of frontotemporal dementia., Graphical Abstract Graphical Abstract
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- 2020
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12. Modelling the cascade of biomarker changes in GRN -related frontotemporal dementia
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Panman, J.L. (Jessica), Venkatraghavan, V. (Vikram), Ende, E.L. (Emma) van der, Steketee, R.M.E. (Rebecca), Jiskoot, L.C. (Lize), Poos, J.M. (Jackie), Dopper, E.G.P. (Elise), Meeter, L.H.H. (Lieke), Donker Kaat, L. (Laura), Rombouts, S.A.R.B. (Serge), Vernooij, M.W. (Meike), Kievit, A.J.A. (Anneke J.A.), Premi, E. (Enrico), Cosseddu, M. (Maura), Bonomi, E. (Elisa), Olives, J. (Jaume), Rohrer, J.D. (Jonathan), Sánchez-Valle, R. (Raquel), Borroni, B. (Barbara), Bron, E.E. (Esther), Swieten, J.C. (John) van, Papma, J.M. (Janne), Klein, S. (Stefan), Panman, J.L. (Jessica), Venkatraghavan, V. (Vikram), Ende, E.L. (Emma) van der, Steketee, R.M.E. (Rebecca), Jiskoot, L.C. (Lize), Poos, J.M. (Jackie), Dopper, E.G.P. (Elise), Meeter, L.H.H. (Lieke), Donker Kaat, L. (Laura), Rombouts, S.A.R.B. (Serge), Vernooij, M.W. (Meike), Kievit, A.J.A. (Anneke J.A.), Premi, E. (Enrico), Cosseddu, M. (Maura), Bonomi, E. (Elisa), Olives, J. (Jaume), Rohrer, J.D. (Jonathan), Sánchez-Valle, R. (Raquel), Borroni, B. (Barbara), Bron, E.E. (Esther), Swieten, J.C. (John) van, Papma, J.M. (Janne), and Klein, S. (Stefan)
- Abstract
Objective: Progranulin-related frontotemporal dementia (FTD-GRN) is a fast progressive disease. Modelling the cascade of multimodal biomarker changes aids in understanding the aetiology of this disease and enables monitoring of individual mutation carriers. In this cross-sectional study, we estimated the temporal cascade of biomarker changes for FTD-GRN, in a data-driven way. Methods: We included 56 presymptomatic and 35 symptomatic GRN mutation carriers, and 35 healthy non-carriers. Selected biomarkers were neurofilament light chain (NfL), grey matter volume, white matter microstructure and cognitive domains. We used discriminative event-based modelling to infer the cascade of biomarker changes in FTD-GRN and estimated individual disease severity through cross-validation. We derived the biomarker cascades in non-fluent variant primary progressive aphasia (nfvPPA) and behavioural variant FTD (bvFTD) to understand the differences between these phenotypes. Results: Language functioning and NfL were the earliest abnormal biomarkers in FTD-GRN. White matter tracts were affected before grey matter volume, and the left hemisphere degenerated before the right. Based on individual disease severities, presymptomatic carriers could be delineated from symptomatic carriers with a sensitivity of 100% and specificity of 96.1%. The estimated dise
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- 2020
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13. Transcranial stimulation in frontotemporal dementia: a randomized, double-blind, sham-controlled trial
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Benussi, A., Dell'era, V., Cosseddu, M., Cantoni, V., Cotelli, M. S., Cotelli, M., Manenti, R., Benussi, L., Brattini, C., Alberici, A., Borroni, B., Cotelli M., Benussi, A., Dell'era, V., Cosseddu, M., Cantoni, V., Cotelli, M. S., Cotelli, M., Manenti, R., Benussi, L., Brattini, C., Alberici, A., Borroni, B., and Cotelli M.
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Introduction: Frontotemporal dementia (FTD) is a progressive disease for which no curative treatment is currently available. We aimed to determine whether transcranial direct current stimulation (tDCS) can modulate intracortical connectivity and improve cognition in symptomatic FTD patients and presymptomatic FTD subjects. Methods: We performed a double-blind, randomized, sham-controlled trial with anodal tDCS or sham stimulation over the left prefrontal cortex in 70 participants (15 presymptomatic and 55 symptomatic FTD). Results: We observed a significant increase of intracortical connectivity (short interval intracortical inhibition and facilitation) and improvement in clinical scores and behavioral disturbances in both symptomatic FTD patients and presymptomatic carriers after real tDCS but not after sham stimulation. Discussion: A 2-weeks’ treatment with anodal left prefrontal tDCS improves symptoms and restores intracortical inhibitory and excitatory circuits in both symptomatic FTD patients and presymptomatic carriers. tDCS might represent a promising future therapeutic and rehabilitative approach in patients with FTD.
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- 2020
14. Neuroanatomical correlates of behavioural phenotypes in behavioural variant of frontotemporal dementia
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Borroni, B., Grassi, M., Premi, E., Gazzina, S., Alberici, A., Cosseddu, M., Paghera, B., and Padovani, A.
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- 2012
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15. Prefrontal cortex rTMS enhances action naming in progressive non-fluent aphasia
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Cotelli, M., Manenti, R., Alberici, A., Brambilla, M., Cosseddu, M., Zanetti, O., Miozzo, A., Padovani, A., Miniussi, C., and Borroni, B.
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- 2012
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16. Chromosome 17 in Fronto Temporal Lobak Degeneration (FTLD): From MAPT to Progranulin and Back
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Alberici, A., Cosseddu, M., Padovani, A., and Borroni, B.
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- 2011
17. Familial aggregation in Progressive Supranuclear Palsy and Corticobasal Syndrome
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Borroni, B., Goldwurm, S., Cerini, C., Cosseddu, M., Meucci, N., Mariani, C., Pezzoli, G., and Padovani, A.
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- 2011
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18. The FTLD-modified Clinical Dementia Rating scale is a reliable tool for defining disease severity in Frontotemporal Lobar Degeneration: evidence from a brain SPECT study
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Borroni, B., Agosti, C., Premi, E., Cerini, C., Cosseddu, M., Paghera, B., Bellelli, G., and Padovani, A.
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- 2010
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19. Cerebral perfusion changes in presymptomatic genetic frontotemporal dementia: a GENFI study
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Mutsaerts, H. J. M. M., Mirza, S. S., Petr, J., Thomas, D. L., Cash, D. M., Bocchetta, M., De Vita, E., Metcalfe, A. W. S., Shirzadi, Z., Robertson, A. D., Tartaglia, M. C., Mitchell, S. B., Black, S. E., Freedman, M., Tang-Wai, D., Keren, R., Rogaeva, E., Van Swieten, J., Laforce, R., Tagliavini, F., Borroni, B., Galimberti, D., Rowe, J. B., Graff, C., Frisoni, G. B., Finger, E., Sorbi, S., De Mendonca, A., Rohrer, J. D., Macintosh, B. J., Masellis, M., Andersson, C., Archetti, S., Arighi, A., Benussi, L., Binetti, G., Cosseddu, M., Dick, K. M., Fallstrom, M., Ferreira, C., Fenoglio, C., Fox, N. C., Fumagalli, G., Gazzina, S., Ghidoni, R., Grisoli, M., Jelic, V., Jiskoot, L., Lombardi, G., Maruta, C., Mead, S., Meeter, L., Van Minkelen, R., Nacmias, B., Oijerstedt, L., Ourselin, S., Padovani, A., Panman, J., Pievani, M., Polito, C., Premi, E., Prioni, S., Rademakers, R., Redaelli, V., Rossi, G., Rossor, M. N., Scarpini, E., Thonberg, H., Tiraboschi, P., Verdelho, A., Warren, J. D., Rowe, James [0000-0001-7216-8679], Apollo - University of Cambridge Repository, Neurology, Amsterdam Neuroscience - Neurodegeneration, and Radiology and Nuclear Medicine
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0301 basic medicine ,Male ,Pathology ,Tau Proteins/genetics ,cerebral blood flow ,Gene mutation ,Neuropsychological Tests ,Arterial spin labelling ,Frontotemporal Dementia/genetics ,0302 clinical medicine ,Progranulins ,C9orf72 ,Brain ,Middle Aged ,Corrigenda ,Magnetic Resonance Imaging ,Cerebral blood flow ,Cerebrovascular Circulation ,Frontotemporal Dementia ,Female ,arterial spin labelling ,Frontotemporal dementia ,Adult ,medicine.medical_specialty ,Heterozygote ,genetic frontotemporal dementia ,presymptomatic biomarker ,C9orf72 Protein/genetics ,tau Proteins ,Progranulins/genetics ,03 medical and health sciences ,Neuroimaging ,mental disorders ,medicine ,Brain/metabolism ,Dementia ,Humans ,Cerebral perfusion pressure ,Aged ,C9orf72 Protein ,business.industry ,Original Articles ,Voxel-based morphometry ,medicine.disease ,arterial spin labeling ,ddc:616.8 ,Genetic frontotemporal dementia ,Presymptomatic biomarker ,030104 developmental biology ,Cross-Sectional Studies ,Mutation ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Cerebrovascular Circulation/genetics - Abstract
Imaging biomarkers are needed to detect early brain changes in presymptomatic carriers harbouring FTD mutations. Using arterial spin labelling-MRI, Mutsaerts, Mirza et al. identify an inverse association between cerebral perfusion in frontotemporoparietal regions and expected age of onset. Cerebral perfusion may be a promising imaging biomarker for presymptomatic genetic FTD., Genetic forms of frontotemporal dementia are most commonly due to mutations in three genes, C9orf72, GRN or MAPT, with presymptomatic carriers from families representing those at risk. While cerebral blood flow shows differences between frontotemporal dementia and other forms of dementia, there is limited evidence of its utility in presymptomatic stages of frontotemporal dementia. This study aimed to delineate the cerebral blood flow signature of presymptomatic, genetic frontotemporal dementia using a voxel-based approach. In the multicentre GENetic Frontotemporal dementia Initiative (GENFI) study, we investigated cross-sectional differences in arterial spin labelling MRI-based cerebral blood flow between presymptomatic C9orf72, GRN or MAPT mutation carriers (n = 107) and non-carriers (n = 113), using general linear mixed-effects models and voxel-based analyses. Cerebral blood flow within regions of interest derived from this model was then explored to identify differences between individual gene carrier groups and to estimate a timeframe for the expression of these differences. The voxel-based analysis revealed a significant inverse association between cerebral blood flow and the expected age of symptom onset in carriers, but not non-carriers. Regions included the bilateral insulae/orbitofrontal cortices, anterior cingulate/paracingulate gyri, and inferior parietal cortices, as well as the left middle temporal gyrus. For all bilateral regions, associations were greater on the right side. After correction for partial volume effects in a region of interest analysis, the results were found to be largely driven by the C9orf72 genetic subgroup. These cerebral blood flow differences first appeared approximately 12.5 years before the expected symptom onset determined on an individual basis. Cerebral blood flow was lower in presymptomatic mutation carriers closer to and beyond their expected age of symptom onset in key frontotemporal dementia signature regions. These results suggest that arterial spin labelling MRI may be a promising non-invasive imaging biomarker for the presymptomatic stages of genetic frontotemporal dementia.
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- 2019
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20. The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
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Premi, E., Calhoun, V.D. (Vince), Diano, M., Gazzina, S., Cosseddu, M., Alberici, A., Archetti, S., Paternico, D., Gasparotti, R., Swieten, J.C. (John) van, Galimberti, D. (Daniela), Sánchez-Valle, R. (Raquel), Laforce, R, Moreno, F, Synofzik, M., Graff, M.J. (Maud J.L.), Masellis, M, Tartaglia, MC, Rowe, J. (Jacob), Vandenberghe, R. (Rik), Finger, E, Tagliavini, F, Mendonça, A., Santana, I., Butler, C, Ducharme, S., Gerhard, A, Danek, A, Levin, J. (Jonathan), Otto, M., Frisoni, G. (Giuseppe), Cappa, S., Sorbi, S. (Sandro), Padovani, A. (Alessandro), Rohrer, JD, Borroni, B. (Barbara), Premi, E., Calhoun, V.D. (Vince), Diano, M., Gazzina, S., Cosseddu, M., Alberici, A., Archetti, S., Paternico, D., Gasparotti, R., Swieten, J.C. (John) van, Galimberti, D. (Daniela), Sánchez-Valle, R. (Raquel), Laforce, R, Moreno, F, Synofzik, M., Graff, M.J. (Maud J.L.), Masellis, M, Tartaglia, MC, Rowe, J. (Jacob), Vandenberghe, R. (Rik), Finger, E, Tagliavini, F, Mendonça, A., Santana, I., Butler, C, Ducharme, S., Gerhard, A, Danek, A, Levin, J. (Jonathan), Otto, M., Frisoni, G. (Giuseppe), Cappa, S., Sorbi, S. (Sandro), Padovani, A. (Alessandro), Rohrer, JD, and Borroni, B. (Barbara)
- Abstract
Frontotemporal Dementia (FTD) is preceded by a long period of subtle brain changes, occurring in the absence of overt cognitive symptoms, that need to be still fully characterized. Dynamic network analysis based on restingstate magnetic resonance imaging (rs-fMRI) is a potentially powerful tool for the study of preclinical FTD. In the present study, we employed a "chronnectome" approach (recurring, time-varying patterns of connectivity) to evaluate measures of dynamic connectivity in 472 at-risk FTD subjects from the Genetic Frontotemporal dementia research Initiative (GENFI) cohort. We considered 249 subjects with FTD-related pathogenetic mutations and 223 mutation non-carriers (HC). Dynamic connectivity was evaluated using independent component analysis and sliding-time window correlation to rs-fMRI data, and meta-state measures of global brain flexibility were extracted. Results show that presymptomatic FTD exhibits diminished dynamic fluidity, visiting less meta-states, shifting less often across them, and travelling through a narrowed meta-state distance, as compared to HC. Dynamic connectivity changes characterize preclinical FTD, arguing for the desynchronization of the inner fluctuations of the brain. These changes antedate clinical symptoms, and might represent an early signature of FTD to be used as a biomarker in clinical trials.
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- 2019
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21. Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort
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Cury, C. (Claire), Durrleman, S. (Stanley), Cash, D.M. (David M.), Lorenzi, M. (Marco), Nicholas, J.M. (Jennifer M.), Bocchetta, M. (Martina), Swieten, J.C. (John) van, Borroni, B. (Barbara), Galimberti, D. (Daniela), Masellis, M. (Mario), Tartaglia, M.C. (Maria Carmela), Rowe, J.B. (James), Graff, C. (Caroline), Tagliavini, F. (Fabrizio), Frisoni, G.B. (Giovanni B.), Laforce, R. (Robert), Finger, E. (Elizabeth), De Mendonça, A. (Alexandre), Sorbi, S. (Sandro), Ourselin, S. (Sebastien), Rohrer, J.D. (Jonathan D.), Modat, M. (Marc), Andersson, C. (Christin), Archetti, S. (Silvana), Arighi, A. (Andrea), Benussi, L. (Luisa), Black, S. (Sandra), Cosseddu, M. (Maura), Fallstrm, M. (Marie), Ferreira, C. (Carlos), Fenoglio, C. (Chiara), Fox, N. (Nick), Freedman, M. (Morris), Fumagalli, G. (Giorgio), Gazzina, S. (Stefano), Ghidoni, R. (Roberta), Grisoli, M. (Marina), Jelic, V. (Vesna), Jiskoot, L.C. (Lize), Keren, R. (Ron), Lombardi, G. (Gemma), Maruta, C. (Carolina), Meeter, L.H.H. (Lieke), Thornton, A.S. (Andrew), Nacmias, B. (Benedetta), ijerstedt, L. (Linn), Padovani, A. (Alessandro), Panman, J. (Jessica), Pievani, M. (Michela), Polito, C. (Cristina), Premi, E. (Enrico), Prioni, S. (Sara), Rademakers, S. (Suzanne), Redaelli, V. (Veronica), Rogaeva, E. (Ekaterina), Rossi, G. (Giacomina), Rossor, M. (Martin), Scarpini, E. (Elio), Tang-Wai, D. (David), Tartaglia, C. (Carmela), Thonberg, H. (Håkan), Tiraboschi, P. (Pietro), Verdelho, A. (Ana), Warren, J. (Jason), Cury, C. (Claire), Durrleman, S. (Stanley), Cash, D.M. (David M.), Lorenzi, M. (Marco), Nicholas, J.M. (Jennifer M.), Bocchetta, M. (Martina), Swieten, J.C. (John) van, Borroni, B. (Barbara), Galimberti, D. (Daniela), Masellis, M. (Mario), Tartaglia, M.C. (Maria Carmela), Rowe, J.B. (James), Graff, C. (Caroline), Tagliavini, F. (Fabrizio), Frisoni, G.B. (Giovanni B.), Laforce, R. (Robert), Finger, E. (Elizabeth), De Mendonça, A. (Alexandre), Sorbi, S. (Sandro), Ourselin, S. (Sebastien), Rohrer, J.D. (Jonathan D.), Modat, M. (Marc), Andersson, C. (Christin), Archetti, S. (Silvana), Arighi, A. (Andrea), Benussi, L. (Luisa), Black, S. (Sandra), Cosseddu, M. (Maura), Fallstrm, M. (Marie), Ferreira, C. (Carlos), Fenoglio, C. (Chiara), Fox, N. (Nick), Freedman, M. (Morris), Fumagalli, G. (Giorgio), Gazzina, S. (Stefano), Ghidoni, R. (Roberta), Grisoli, M. (Marina), Jelic, V. (Vesna), Jiskoot, L.C. (Lize), Keren, R. (Ron), Lombardi, G. (Gemma), Maruta, C. (Carolina), Meeter, L.H.H. (Lieke), Thornton, A.S. (Andrew), Nacmias, B. (Benedetta), ijerstedt, L. (Linn), Padovani, A. (Alessandro), Panman, J. (Jessica), Pievani, M. (Michela), Polito, C. (Cristina), Premi, E. (Enrico), Prioni, S. (Sara), Rademakers, S. (Suzanne), Redaelli, V. (Veronica), Rogaeva, E. (Ekaterina), Rossi, G. (Giacomina), Rossor, M. (Martin), Scarpini, E. (Elio), Tang-Wai, D. (David), Tartaglia, C. (Carmela), Thonberg, H. (Håkan), Tiraboschi, P. (Pietro), Verdelho, A. (Ana), and Warren, J. (Jason)
- Abstract
Brain atrophy as measured from structural MR images, is one of the primary imaging biomarkers used to track neurodegenerative disease progression. In diseases such as frontotemporal dementia or Alzheimer's disease, atrophy can be observed in key brain structures years before any clinical symptoms are present. Atrophy is most commonly captured as volume change of key structures and the shape changes of these structures are typically not analysed despite being potentially more sensitive than summary volume statistics over the entire structure. In this paper we propose a spatiotemporal analysis pipeline based on Large Diffeomorphic Deformation Metric Mapping (LDDMM) to detect shape changes from volumetric MRI scans. We applied our framework to a cohort of individuals with genetic variants of frontotemporal dementia and healthy controls from the Genetic FTD Initiative (GENFI) study. Our method, take full advantage of the LDDMM framework, and relies on the creation of a population specific average spatiotemporal trajectory of a relevant brain structure of interest, the thalamus in our case. The residuals from each patient data to the average spatiotemporal trajectory are then clustered and studied to assess when presymptomatic mutation carriers differ from healthy control subjects. We found statistical differences in shape in the anterior region of the thalamus at least five years before the mutation carrier subjects develop any clinical symptoms. This region of the thalamus has been shown to be predominantly connected to the frontal lobe, consistent with the pattern of cortical atrophy seen in the disease.
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- 2019
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22. The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
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Premi, E, Calhoun, VD, Diano, M, Gazzina, S, Cosseddu, M, Alberici, A, Archetti, S, Paternico, D, Gasparotti, R, van Swieten, J.C., Galimberti, D, Sanchez-Valle, R, Laforce, R, Moreno, F, Synofzik, M, Graff, C, Masellis, M, Tartaglia, MC, Rowe, J, Vandenberghe, R, Finger, E, Tagliavini, F, De Mendonca, A, Santana, I, Butler, C, Ducharme, S, Gerhard, A, Danek, A, Levin, J, Otto, M, Frisoni, G, Cappa, S, Sorbi, S, Padovani, A, Rohrer, JD, Borroni, B, Premi, E, Calhoun, VD, Diano, M, Gazzina, S, Cosseddu, M, Alberici, A, Archetti, S, Paternico, D, Gasparotti, R, van Swieten, J.C., Galimberti, D, Sanchez-Valle, R, Laforce, R, Moreno, F, Synofzik, M, Graff, C, Masellis, M, Tartaglia, MC, Rowe, J, Vandenberghe, R, Finger, E, Tagliavini, F, De Mendonca, A, Santana, I, Butler, C, Ducharme, S, Gerhard, A, Danek, A, Levin, J, Otto, M, Frisoni, G, Cappa, S, Sorbi, S, Padovani, A, Rohrer, JD, and Borroni, B
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- 2019
23. Comparison of arterial spin labeling registration strategies in the multi-center GENetic frontotemporal dementia initiative (GENFI)
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Mutsaerts, H. J. M. M., Petr, J., Thomas, D. L., De Vita, E., Cash, D. M., van Osch, M. J. P., Golay, X., Groot, P. F. C., Ourselin, S., van Swieten, J., Laforce, R., Tagliavini, F., Borroni, B., Galimberti, D., Rowe, J. B., Graff, C., Pizzini, F. B., Finger, E., Sorbi, S., Castelo Branco, M., Rohrer, J. D., Masellis, M., Macintosh, B. J., Rossor, M., Fox, N., Warren, J., Bocchetta, M., Dick, K., Pievani, M., Ghidoni, R., Benussi, L., Padovani, A., Cosseddu, M., Mendonca, A., Frisoni, G., Premi, E., Archetti, S., Scarpini, E., Fumagalli, G., Arighi, A., Fenoglio, C., Prioni, S., Redaelii, V., Grisoli, M., Tiraboschi, P., Black, S., Rogaeva, E., Freedman, M., Tartaglia, M. C., Tang-Wai, D., Keren, R., Panman, J., Meeter, L., Jiskoot, L., van Minkelen, R., Lombardi, G., Polito, C., Nacmias, B., Jelic, V., Andersson, C., Oijerstedt, L., Fallstrom, M., Thonberg, H., Verdelho, A., Maruta, C., Neurology, Mutsaerts, Henri JMM [0000-0003-0894-0307], Apollo - University of Cambridge Repository, and Other departments
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Adult ,Male ,cerebral blood flow ,Brain ,Reproducibility of Results ,Arteries ,Middle Aged ,arterial spin labeling ,Magnetic Resonance Imaging ,Article ,Perfusion ,image registration ,Young Adult ,Imaging, Three-Dimensional ,Cerebrovascular Circulation ,Frontotemporal Dementia ,Image Processing, Computer-Assisted ,Humans ,Female ,Spin Labels ,Gray Matter - Abstract
PURPOSE: To compare registration strategies to align arterial spin labeling (ASL) with 3D T1-weighted (T1w) images, with the goal of reducing the between-subject variability of cerebral blood flow (CBF) images. MATERIALS AND METHODS: Multi-center 3T ASL data were collected at eight sites with four different sequences in the multi-center GENetic Frontotemporal dementia Initiative (GENFI) study. In a total of 48 healthy controls, we compared the following image registration options: (I) which images to use for registration (perfusion-weighted images [PWI] to the segmented gray matter (GM) probability map (pGM) (CBF-pGM) or M0 to T1w (M0-T1w); (II) which transformation to use (rigid-body or non-rigid); and (III) whether to mask or not (no masking, M0-based FMRIB software library Brain Extraction Tool [BET] masking). In addition to visual comparison, we quantified image similarity using the Pearson correlation coefficient (CC), and used the Mann-Whitney U rank sum test. RESULTS: CBF-pGM outperformed M0-T1w (CC improvement 47.2% ± 22.0%; P < 0.001), and the non-rigid transformation outperformed rigid-body (20.6% ± 5.3%; P < 0.001). Masking only improved the M0-T1w rigid-body registration (14.5% ± 15.5%; P = 0.007). CONCLUSION: The choice of image registration strategy impacts ASL group analyses. The non-rigid transformation is promising but requires validation. CBF-pGM rigid-body registration without masking can be used as a default strategy. In patients with expansive perfusion deficits, M0-T1w may outperform CBF-pGM in sequences with high effective spatial resolution. BET-masking only improves M0-T1w registration when the M0 image has sufficient contrast. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:131-140.
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- 2018
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24. Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
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Young, A. L., Marinescu, R. V., Oxtoby, N. P., Bocchetta, M., Yong, K., Firth, N. C., Cash, D. M., Thomas, D. L., Dick, K. M., Cardoso, J., van Swieten, J., Borroni, B., Galimberti, D., Masellis, M., Tartaglia, M. C., Rowe, J. B., Graff, C., Tagliavini, F., Frisoni, G. B., Laforce, R., Finger, E., de Mendonca, A., Sorbi, S., Warren, J. D., Crutch, S., Fox, N. C., Ourselin, S., Schott, J. M., Rohrer, J. D., Alexander, D. C., Andersson, C., Archetti, S., Arighi, A., Benussi, L., Binetti, G., Black, S., Cosseddu, M., Fallstrom, M., Ferreira, C., Fenoglio, C., Freedman, M., Fumagalli, G. G., Gazzina, S., Ghidoni, R., Grisoli, M., Jelic, V., Jiskoot, L., Keren, R., Lombardi, G., Maruta, C., Meeter, L., Mead, S., van Minkelen, R., Nacmias, B., Oijerstedt, L., Padovani, A., Panman, J., Pievani, M., Polito, C., Premi, E., Prioni, S., Rademakers, R., Redaelli, V., Rogaeva, E., Rossi, G., Rossor, M., Scarpini, E., Tang-Wai, D., Thonberg, H., Tiraboschi, P., Verdelho, A., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Saykin, A. J., Morris, J., Shaw, L. M., Khachaturian, Z., Sorensen, G., Kuller, L., Raichle, M., Paul, S., Davies, P., Fillit, H., Hefti, F., Holtzman, D., Mesulam, M. M., Potter, W., Snyder, P., Schwartz, A., Montine, T., Thomas, R. G., Donohue, M., Walter, S., Gessert, D., Sather, T., Jiminez, G., Harvey, D., Bernstein, M., Thompson, P., Schuff, N., Borowski, B., Gunter, J., Senjem, M., Vemuri, P., Jones, D., Kantarci, K., Ward, C., Koeppe, R. A., Foster, N., Reiman, E. M., Chen, K., Mathis, C., Landau, S., Cairns, N. J., Householder, E., Taylor-Reinwald, L., Lee, V., Korecka, M., Figurski, M., Crawford, K., Neu, S., Foroud, T. M., Potkin, S., Shen, L., Faber, K., Kim, S., Nho, K., Thal, L., Buckholtz, N., Albert, M., Frank, R., Hsiao, J., Kaye, J., Quinn, J., Lind, B., Carter, R., Dolen, S., Schneider, L. S., Pawluczyk, S., Beccera, M., Teodoro, L., Spann, B. M., Brewer, J., Vanderswag, H., Fleisher, A., Heidebrink, J. L., Lord, J. L., Mason, S. S., Albers, C. S., Knopman, D., Johnson, K., Doody, R. S., Villanueva-Meyer, J., Chowdhury, M., Rountree, S., Dang, M., Stern, Y., Honig, L. S., Bell, K. L., Ances, B., Carroll, M., Leon, S., Mintun, M. A., Schneider, S., Oliver, A., Marson, D., Griffith, R., Clark, D., Geldmacher, D., Brockington, J., Roberson, E., Grossman, H., Mitsis, E., de Toledo-Morrell, L., Shah, R. C., Duara, R., Varon, D., Greig, M. T., Roberts, P., Onyike, C., D'Agostino, D., Kielb, S., Galvin, J. E., Cerbone, B., Michel, C. A., Rusinek, H., de Leon, M. J., Glodzik, L., De Santi, S., Doraiswamy, P. M., Petrella, J. R., Wong, T. Z., Arnold, S. E., Karlawish, J. H., Wolk, D., Smith, C. D., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Lopez, O. L., Oakley, M. A., Simpson, D. M., Porsteinsson, A. P., Goldstein, B. S., Martin, K., Makino, K. M., Ismail, M. S., Brand, C., Mulnard, R. A., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Diaz-Arrastia, R., King, R., Weiner, M., Martin-Cook, K., Devous, M., Levey, A. I., Lah, J. J., Cellar, J. S., Burns, J. M., Anderson, H. S., Swerdlow, R. H., Apostolova, L., Tingus, K., Woo, E., Silverman, D. H., P. H., Lu, Bartzokis, G., Graff-Radford, N. R., Parfitt, F., Kendall, T., Johnson, H., Farlow, M. R., Hake, A. M., Matthews, B. R., Herring, S., Hunt, C., van Dyck, C. H., Carson, R. E., Macavoy, M. G., Chertkow, H., Bergman, H., Hosein, C., Stefanovic, B., Caldwell, C., Hsiung, G. -Y. R., Feldman, H., Mudge, B., Assaly, M., Kertesz, A., Rogers, J., Bernick, C., Munic, D., Kerwin, D., Mesulam, M. -M., Lipowski, K., C. -K., Wu, Johnson, N., Sadowsky, C., Martinez, W., Villena, T., Turner, R. S., Reynolds, B., Sperling, R. A., Johnson, K. A., Marshall, G., Frey, M., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M. N., Belden, C. M., Jacobson, S. A., Sirrel, S. A., Kowall, N., Killiany, R., Budson, A. E., Norbash, A., Johnson, P. L., Allard, J., Lerner, A., Ogrocki, P., Hudson, L., Fletcher, E., Carmichael, O., Olichney, J., Decarli, C., Kittur, S., Borrie, M., Lee, T. -Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C. M., Potkin, S. G., Preda, A., Nguyen, D., Tariot, P., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D. W., Kataki, M., Adeli, A., Zimmerman, E. A., Celmins, D., Brown, A. D., Pearlson, G. D., Blank, K., Anderson, K., Santulli, R. B., Kitzmiller, T. J., Schwartz, E. S., Sink, K. M., Williamson, J. D., Garg, P., Watkins, F., Ott, B. R., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H. J., Miller, B. L., Mintzer, J., Spicer, K., Bachman, D., Pasternak, S., Rachinsky, I., Drost, D., Pomara, N., Hernando, R., Sarrael, A., Schultz, S. K., Ponto, L. L. B., Shim, H., Smith, K. E., Relkin, N., Chaing, G., Raudin, L., Smith, A., Fargher, K., Raj, B. A., Neylan, T., Grafman, J., Davis, M., Morrison, R., Hayes, J., Finley, S., Friedl, K., Fleischman, D., Arfanakis, K., James, O., Massoglia, D., Fruehling, J. J., Harding, S., Peskind, E. R., Petrie, E. C., Li, G., Yesavage, J. A., Taylor, J. L., and Furst, A. J.
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- 2018
25. Progression of behavioural disturbances in frontotemporal dementia: a longitudinal observational study
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Cosseddu, M., primary, Benussi, A., additional, Gazzina, S., additional, Alberici, A., additional, Dell'Era, V., additional, Manes, M., additional, Cristillo, V., additional, Borroni, B., additional, and Padovani, A., additional
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- 2019
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26. Multimodal face and voice recognition disorders in a case with unilateral right anterior temporal lobe atrophy
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Cosseddu, M., Gazzina, S., Borroni, B., Padovani, A., Gainotti, G., Gainotti G., Cosseddu, M., Gazzina, S., Borroni, B., Padovani, A., Gainotti, G., and Gainotti G.
- Abstract
Objective: Familiar face recognition disorders are often observed in patients with lesions of the right anterior temporal lobe (ATL). It is not clear, however, if this defect must be considered as a form of associative prosopagnosia, or as a multimodal (face and voice) people recognition disorder, because voice recognition is rarely examined in these patients. The most appropriate manner of solving this problem could consist in evaluating, in one or more patients with right ATL lesions, recognition disorders through face and voice of the same well known people. Methods: The 'Famous People Recognition Battery' (FPRB), in which the same 40 persons (very well-known at the national level) should be identified through face and voice recognition, was used to clarify this issue. The FPRB was administered to a 56-year-old woman (BM) who complained, as early sign of a fronto-temporal degeneration, of familiar people recognition defects in a context of relatively intact cognitive functions. Results: On the FPRB, BM showed a severe defect of people recognition (familiarity judgement) and identification through face and voice, but not through personal name. Voxel-based morphometry showed a focal atrophy of the right ATL (temporo-polar cortex and anterior parts of perirhinal and entorhinal cortices). Conclusions: the present case report seems to show that a unilateral right ATL atrophy can lead to a multimodal people recognition disorder through face and voice, in the absence of recognition difficulties through personal name.
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- 2018
27. Downregulation of exosomal miR-204-5p and miR-632 as a biomarker for FTD: a GENFI study
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Schneider, R., Mckeever, P., Kim, T., Graff, C., Van Swieten, J. C., Karydas, A., Boxer, A., Rosen, H., Miller, B. L., Laforce, R., Galimberti, D., Masellis, M., Borroni, B., Zhang, Z., Zinman, L., Rohrer, J. D., Tartaglia, M. C., Robertson, J., Andersson, C., Archetti, S., Arighi, A., Benussi, L., Binetti, G., Black, S., Bocchetta, M., Cash, D., Cosseddu, M., Dick, K., Fallström, M., Ferreira, C., Fenoglio, C., Fox, N., Freedman, M., Frisoni, G., Fumagalli, G., Gazzina, S., Ghidoni, R., Grisoli, M., Jelic, V., Jiskoot, L., Keren, R., Lombardi, G., Maruta, C., Meeter, L., van Minkelen, M., Nacmias, B., Öijerstedt, L., Ourselin, S., Padovani, A., Panman, J., Pievani, M., Polito, C., Premi, E., Prioni, S., Rademakers, R. Redaelli V., Rogaeva, E., Rossi, G., Rossor, M., Row, J., Scarpini, E., Tagliavini, F., Sorbi, S., Tang-Wai, D., Thomas, D., Thonberg, H., Tiraboschi, P., Verdelho, A., Warren, J., Neurology, Schneider, Raphael [0000-0003-1776-2418], and Apollo - University of Cambridge Repository
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0301 basic medicine ,Oncology ,Male ,Aging ,Neurodegenerative ,Alzheimer's Disease ,medicine.disease_cause ,Exosomes ,Medical and Health Sciences ,0302 clinical medicine ,Mutation Carrier ,Alzheimer's Disease Related Dementias (ADRD) ,screening and diagnosis ,Mutation ,biology ,Cognitive Neurology ,3. Good health ,Detection ,Psychiatry and Mental health ,Real-time polymerase chain reaction ,Frontotemporal Dementia ,Neurological ,Cohort ,Biomarker (medicine) ,Female ,Biotechnology ,Frontotemporal dementia ,medicine.medical_specialty ,Tau protein ,Down-Regulation ,Chromosome 9 ,tau Proteins ,03 medical and health sciences ,Rare Diseases ,Internal medicine ,mental disorders ,Acquired Cognitive Impairment ,Genetics ,medicine ,Humans ,Neurology & Neurosurgery ,business.industry ,Prevention ,Psychology and Cognitive Sciences ,Neurosciences ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Genetic FTD Initiative ,medicine.disease ,Brain Disorders ,4.1 Discovery and preclinical testing of markers and technologies ,MicroRNAs ,030104 developmental biology ,biology.protein ,Dementia ,Surgery ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Biomarkers - Abstract
ObjectiveTo determine whether exosomal microRNAs (miRNAs) in cerebrospinal fluid (CSF) of patients with frontotemporal dementia (FTD) can serve as diagnostic biomarkers, we assessed miRNA expression in the Genetic Frontotemporal Dementia Initiative (GENFI) cohort and in sporadic FTD.MethodsGENFI participants were either carriers of a pathogenic mutation in progranulin, chromosome 9 open reading frame 72 or microtubule-associated protein tau or were at risk of carrying a mutation because a first-degree relative was a known symptomatic mutation carrier. Exosomes were isolated from CSF of 23 presymptomatic and 15 symptomatic mutation carriers and 11 healthy non-mutation carriers. Expression of 752 miRNAs was measured using quantitative PCR (qPCR) arrays and validated by qPCR using individual primers. MiRNAs found differentially expressed in symptomatic compared with presymptomatic mutation carriers were further evaluated in a cohort of 17 patients with sporadic FTD, 13 patients with sporadic Alzheimer’s disease (AD) and 10 healthy controls (HCs) of similar age.ResultsIn the GENFI cohort, miR-204-5p and miR-632 were significantly decreased in symptomatic compared with presymptomatic mutation carriers. Decrease of miR-204-5p and miR-632 revealed receiver operator characteristics with an area of 0.89 (90% CI 0.79 to 0.98) and 0.81 (90% CI 0.68 to 0.93), respectively, and when combined an area of 0.93 (90% CI 0.87 to 0.99). In sporadic FTD, only miR-632 was significantly decreased compared with AD and HCs. Decrease of miR-632 revealed an area of 0.90 (90% CI 0.81 to 0.98).ConclusionsExosomal miR-204-5p and miR-632 have potential as diagnostic biomarkers for genetic FTD and miR-632 also for sporadic FTD.
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- 2017
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28. Preliminary Results on Long-Term Potentiation-Like Cortical Plasticity and Cholinergic Dysfunction After Miglustat Treatment in Niemann-Pick Disease Type C
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Benussi, A, Cotelli, Ms, Cosseddu, M, Bertasi, V, Turla, M, Salsano, E, Dardis, A, Padovani, Alessandro, and Borroni, Barbara
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- 2017
29. Impulse control disorder in PD: A lateralized monoaminergic frontostriatal disconnection syndrome?
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Premi, E., Pilotto, A., Garibotto, V., Bigni, B., Turrone, R., Alberici, A., Cottini, E., Poli, L., Bianchi, M., Formenti, A., Cosseddu, M., Gazzina, S., Magoni, M., Bertoli, M., Paghera, B., Borroni, B., and Padovani, A.
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- 2016
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30. Progression of behavioural disturbances in frontotemporal dementia: a longitudinal observational study.
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Cosseddu, M., Benussi, A., Gazzina, S., Alberici, A., Dell'Era, V., Manes, M., Cristillo, V., Borroni, B., and Padovani, A.
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FRONTOTEMPORAL dementia , *FRONTOTEMPORAL lobar degeneration , *LONGITUDINAL method , *DISEASE progression , *SCIENTIFIC observation - Abstract
Background and purpose: Behavioural disturbances are the core features of frontotemporal dementia (FTD); however, symptom progression is still not well characterized during the entire course of the disease. The aim of the present study was to investigate behavioural symptoms at baseline and during the disease course in a large cohort of patients with behavioural variant FTD (bvFTD), non‐fluent/agrammatic variant primary progressive aphasia (nfvPPA) and semantic variant primary progressive aphasia (PPA). Methods: We evaluated 403 patients with FTD, 167 of whom had at least 1‐year follow‐up evaluation (for a total of 764 assessments). Behavioural symptoms were assessed and rated through the Neuropsychiatric Inventory (NPI) and Frontal Behavioural Inventory (FBI). Disease severity was evaluated through the Frontotemporal Lobar Degeneration ‐Clinical Dementia Rating scale (FTLD‐CDR). Linear mixed models were used to model behavioural measures (NPI, FBI and the five FBI‐behavioural core criteria scores) as a function of disease severity (FTLD‐CDR score) and clinical phenotype. Results: At baseline, patients with bvFTD showed more behavioural disturbances compared with those with nfvPPA (P = 0.004). Negative symptoms (apathy and loss of empathy) showed a trend to an increase throughout the course of the disease in both bvFTD and PPA (P < 0.001 until intermediate stages). Positive symptoms (disinhibition, perseverations and hyperorality) increased until intermediate phases (P < 0.001) followed by a progressive reduction in later phases, whereas they were less common in nfvPPA throughout the disease course. Conclusion: We demonstrated that behavioural disturbances differed in FTD and with disease severity. Positive symptoms appeared to improve in the advanced stages, highlighting the importance of taking into account the disease severity as outcome measure in clinical trials. [ABSTRACT FROM AUTHOR]
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- 2020
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31. Antinuclear antibodies in Frontotemporal Dementia: the tip's of autoimmunity iceberg?
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Cavazzana, I., primary, Alberici, A., additional, Bonomi, E., additional, Ottaviani, R., additional, Kumar, R., additional, Archetti, S., additional, Manes, M., additional, Cosseddu, M., additional, Buratti, E., additional, Padovani, A., additional, Tincani, A., additional, Franceschini, F., additional, and Borroni, B., additional
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- 2018
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32. Cognitive reserve and TMEM106B genotype modulate brain damage in presymptomatic frontotemporal dementia: A GENFI study
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Premi, E. (Enrico), Grassi, M. (Mario), Swieten, J.C. (John) van, Galimberti, D. (Daniela), Graff, C. (Caroline), Masellis, M. (Mario), Tartaglia, C. (Carmela), Tagliavini, F. (Fabrizio), Rowe, J.B. (James), Laforce, R. (Robert), Finger, E. (Elizabeth), Frisoni, G.B. (Giovanni B.), De Mendonça, A. (Alexandre), Sorbi, S. (Sandro), Gazzina, S. (Stefano), Cosseddu, M. (Maura), Archetti, S. (Silvana), Gasparotti, R. (Roberto), Manes, M. (Marta), Alberici, P. (Paola), Cardoso, M.J. (Manuel Jorge), Bocchetta, M. (Martina), Cash, D.M. (David M.), Ourselin, S. (Sebastien), Padovani, A. (Alessandro), Rohrer, J.D. (Jonathan), Borroni, B. (Barbara), Premi, E. (Enrico), Grassi, M. (Mario), Swieten, J.C. (John) van, Galimberti, D. (Daniela), Graff, C. (Caroline), Masellis, M. (Mario), Tartaglia, C. (Carmela), Tagliavini, F. (Fabrizio), Rowe, J.B. (James), Laforce, R. (Robert), Finger, E. (Elizabeth), Frisoni, G.B. (Giovanni B.), De Mendonça, A. (Alexandre), Sorbi, S. (Sandro), Gazzina, S. (Stefano), Cosseddu, M. (Maura), Archetti, S. (Silvana), Gasparotti, R. (Roberto), Manes, M. (Marta), Alberici, P. (Paola), Cardoso, M.J. (Manuel Jorge), Bocchetta, M. (Martina), Cash, D.M. (David M.), Ourselin, S. (Sebastien), Padovani, A. (Alessandro), Rohrer, J.D. (Jonathan), and Borroni, B. (Barbara)
- Abstract
Frontotemporal dementia is a heterogeneous neurodegenerative disorder with around a third of cases having autosomal dominant inheritance. There is wide variability in phenotype even within affected families, raising questions about the determinants of the progression of disease and age at onset. It has been recently demonstrated that cognitive reserve, as measured by years of formal schooling, can counteract the ongoing pathological process. The TMEM106B genotype has also been found to be a modifier of the age at disease onset in frontotemporal dementia patients with TDP-43 pathology. This study therefore aimed to elucidate the modulating effect of environment (i.e. cognitive reserve as measured by educational attainment) and genetic background (i.e. TMEM106B polymorphism, rs1990622 T/C) on grey matter volume in a large cohort of presymptomatic subjects bearing frontotemporal dementia-related pathogenic mutations. Two hundred and thirty-one participants from the GENFI study were included: 108 presymptomatic MAPT, GRN, and C9orf72 mutation carriers and 123 non-carriers. For each subject, cortical and subcortical grey matter volumes were generated using a parcellation of the volumetric T1-weighted magnetic resonance imaging brain scan. TMEM106B genotyping was carried out, and years of education recorded. First, we obtained a composite measure of grey matter volume by graph-Laplacian principal component analysis, and then fitted a linear mixed-effect interaction model, considering the role of (i) genetic status; (ii) educational attainment; and (iii) TMEM106B genotype on grey matter volume. The presence of a mutation was associated with a lower grey matter volume (P = 0.002), even in presymptomatic subjects. Education directly affected grey matter volume in all the samples (P = 0.02) with lower education attainment being associated with lower volumes. TMEM106B genotype did not influence grey matter volume directly on its own but in mutation carriers it modulated the sl
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- 2017
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33. Voluptuary Habits and Risk of Frontotemporal Dementia: A Case Control Retrospective Study
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Tremolizzo, L, Bianchi, E, Susani, E, Pupillo, E, Messina, P, Aliprandi, A, Salmaggi, A, Cosseddu, M, Pilotto, A, Borroni, B, Padovani, A, Bonomini, C, Zanetti, O, Appollonio, I, Beghi, E, Ferrarese, C, TREMOLIZZO, LUCIO, SUSANI, EMANUELA LAURA, ALIPRANDI, ANGELO, APPOLLONIO, ILDEBRANDO, BEGHI, ETTORE, FERRARESE, CARLO, Tremolizzo, L, Bianchi, E, Susani, E, Pupillo, E, Messina, P, Aliprandi, A, Salmaggi, A, Cosseddu, M, Pilotto, A, Borroni, B, Padovani, A, Bonomini, C, Zanetti, O, Appollonio, I, Beghi, E, Ferrarese, C, TREMOLIZZO, LUCIO, SUSANI, EMANUELA LAURA, ALIPRANDI, ANGELO, APPOLLONIO, ILDEBRANDO, BEGHI, ETTORE, and FERRARESE, CARLO
- Abstract
Alcohol, coffee, and tobacco consumption was assessed on 151 FTD outpatients and 151 matched controls in a multicenter retrospective case-control design. No association was found for smoking and coffee intake. The risk of FTD was decreased by alcohol consumption (adj. OR 0.30, 95 CI 0.14-0.63); risk reduction was significant in current alcohol consumers (adj. OR 0.22, 95 CI 0.10-0.51). The risk of FTD inversely correlated with the duration of exposure (adj. OR 0.88, 95 CI 0.81-0.95, for every 5 years of exposure increase). Retrospective information and the unknown amount of consumed alcohol are limits of the present work
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- 2017
34. Impaired long-term potentiation-like cortical plasticity in presymptomatic genetic frontotemporal dementia
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Benussi, Alberto, Cosseddu, M, Filareto, I, Dell'Era, V, Archetti, S, Sofia Cotelli, M, Micheli, A, Padovani, Alessandro, and Borroni, Barbara
- Published
- 2016
35. Autonomic measures and explicit evaluation of emotional cues in behavioral variant and agrammatic variant of frontotemporal dementia
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Balconi, Michela, Cotelli, Maria, Manenti, R, Brambilla, M, Cosseddu, M, Zanetti, O, Borroni, B, and Padovani, A.
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Settore M-PSI/02 - PSICOBIOLOGIA E PSICOLOGIA FISIOLOGICA ,Emotion recognition ,Frontotemporal dementia - Published
- 2014
36. The FTLD-modified Clinical Dementia Rating scale is a reliable tool for defining disease severity in frontotemporal lobar degeneration: evidence from a brain SPECT study
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Borroni, B, Agosti, C, Premi, E, Cerini, C, Cosseddu, M, Paghera, B, Bellelli, G, Padovani, A, BELLELLI, GIUSEPPE, Padovani, A., Borroni, B, Agosti, C, Premi, E, Cerini, C, Cosseddu, M, Paghera, B, Bellelli, G, Padovani, A, BELLELLI, GIUSEPPE, and Padovani, A.
- Abstract
Background: Frontotemporal Lobar Degeneration (FTLD) is a heterogeneous disorder characterized by impairment in executive functions, behavioural disturbance and language deficit. Reliable scales of global impairment are under evaluation. A consortium of Mayo Clinic and University of California FTLD Centers has recently developed the FTLD-modified Clinical Dementia Rating (CDR) scale to assess FTLD severity. Objective: To evaluate whether FTLD-modified CDR scores correlate with the pattern and degree of brain SPECT hypoperfusion in patients with FTLD. Methods: Ninety-nine patients with FTLD entered the study. Patients underwent a clinical evaluation and a wide standardized neuropsychological assessment, including mini-mental state examination (MMSE) and FTLD-modified CDR. A brain SPECT perfusion imaging study was carried out in each patient. A linear correlation analysis between frontotemporal dementia-modified CDR or neuropsychological tests scores and perfusion data was performed. Results: There was a significant relationship between higher FTLD-modified CDR score and lower global regional cerebral blood flow in the frontal and temporal lobes, bilaterally. No significant correlation between MMSE and brain frontotemporal hypoperfusion was found. The correlation between brain hypoperfusion pattern and neuropsychological test scores tapping different cognitive domains fitted with previously published data. Conclusions: The recently introduced FTLD-modified CDR scale correlates with the degree of frontotemporal hypoperfusion in patients with FTLD. This study confirms and further supports the usefulness of FTLD-modified CDR in future clinical trials to monitor disease progression. © 2009 EFNS.
- Published
- 2010
37. The Speech and Language FOXP2 Gene Modulates the Phenotype of Frontotemporal Lobar Degeneration
- Author
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Padovani, A, Cosseddu, M, Premi, E, Archett, I, Papetti, A, Agosti, C, Bigni, B, Cerini, C, Paghera, B, Bellelli, G, Borroni, B, Archett,i S, Borroni B., BELLELLI, GIUSEPPE, Padovani, A, Cosseddu, M, Premi, E, Archett, I, Papetti, A, Agosti, C, Bigni, B, Cerini, C, Paghera, B, Bellelli, G, Borroni, B, Archett,i S, Borroni B., and BELLELLI, GIUSEPPE
- Abstract
The FOXP2 gene is mutated in a severe monogenic form of speech and language deficits, but no study on the influence of genetic variations within FOXP2 in neurological disorders characterized by language impairment is available yet. In the present study, we investigated the impact of common FOXP2 polymorphisms with regard to frontotemporal lobar degeneration (FTLD). Two-hundred ten FTLD patients underwent clinical and a wide standardized neuropsychological examination as well as brain imaging. In all patients, and in 200 age-matched healthy controls, four FOXP2 polymorphisms were evaluated, namely rs2396753, rs1456031, rs17137124 and rs1852469. SPECT images were analyzed by Statistical Parametric Mapping (SPM5). No significant differences of the four FOXP2 polymorphisms in genotype distribution and allele frequency between FTLD and controls were observed. A significant and specific association between rs1456031 TT and rs17137124 TT genotypes and verbal fluency scores was reported. The two polymorphisms showed an addictive effect. When the analysis was computed on the number of observations over time, and 391 assessments considered, comparable results were obtained. FTLD patients carrying at-risk polymorphisms showed greater hypoperfusion in the frontal areas, namely the left inferior frontal gyrus, and putamen, compared to the non-carriers (p < 0.005). Genetic variations within FOXP2 do not represent a genetic risk to FTLD per se, but modulate FTLD presentation when disease is overt, affecting language performances and leading to hypoperfusion in language-associated brain areas.
- Published
- 2010
38. Familial aggregation in Progressive Supranuclear Palsy and Corticobasal Syndrome
- Author
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Borroni, B., primary, Goldwurm, S., additional, Cerini, C., additional, Cosseddu, M., additional, Meucci, N., additional, Mariani, C., additional, Pezzoli, G., additional, and Padovani, A., additional
- Published
- 2010
- Full Text
- View/download PDF
39. TARDBP Mutations in Frontotemporal Lobar Degeneration: Frequency, Clinical Features, and Disease Course
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Borroni, B., primary, Archetti, S., additional, Del Bo, R., additional, Papetti, A., additional, Buratti, E., additional, Bonvicini, C., additional, Agosti, C., additional, Cosseddu, M., additional, Turla, M., additional, Di Lorenzo, D., additional, Pietro Comi, G., additional, Gennarelli, M., additional, and Padovani, A., additional
- Published
- 2010
- Full Text
- View/download PDF
40. Is long-term prognosis of frontotemporal lobar degeneration predictable by neuroimaging? Evidence from a single-subject functional brain study.
- Author
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Borroni B, Grassi M, Premi E, Alberici A, Cosseddu M, Cancelli V, Caobelli F, Paghera B, Padovani A, Borroni, Barbara, Grassi, Mario, Premi, Enrico, Alberici, Antonella, Cosseddu, Maura, Cancelli, Vanessa, Caobelli, Federico, Paghera, Barbara, and Padovani, Alessandro
- Abstract
Prediction of survival in frontotemporal lobar degeneration (FTLD) is guesswork. The aim of the present study was to evaluate whether SPECT scan may be useful to predict prognosis of long term survival in FTLD patients. A cohort of 125 patients with FTLD who underwent brain SPECT scan at the time of enrollment and who were further followed up for at least one year were considered. In each subject, volume of interests (VOIs) covering frontotemporal and parietal regions, bilaterally, were drawn. Principal component analysis (PCA) was applied on VOIs, and a Cox regression model was carried out to find out best predictors of survival. A two-pattern PCA solution was chosen, explaining more than 70% of variance, and "frontal" PC1 and "temporal" PC2 components were identified. The frontal PC1 was associated with higher rate of faster progression (HR = 2.06, 95% CI = 1.23-3.44, p = 0.006 for univariate model, and HR = 1.85, 95% CI = 1.04-3.28, p = 0.03 for multivariate model). In particular, right orbitofrontal cortex showed the higher loadings in PC1; the worse the scores of this region the shorter the survival was reported. We suggest that SPECT imaging, beyond a helpful tool in diagnostic assessment, may be an easily and accessible marker of disease outcome in FTLD. Further studies considering structural neuroimaging are warranted. [ABSTRACT FROM AUTHOR]
- Published
- 2012
- Full Text
- View/download PDF
41. Cerebrospinal fluid tau in frontotemporal lobar degeneration: clinical, neuroimaging, and prognostic correlates.
- Author
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Borroni B, Cerini C, Archetti S, Premi E, Cosseddu M, Ferrari M, Bellelli G, Gasparotti R, Caimi L, Di Luca M, and Padovani A
- Published
- 2011
- Full Text
- View/download PDF
42. Suicide Risk in Frontotemporal Lobe Degeneration: To be Considered, to be Prevented.
- Author
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Alberici A, Cottini E, Cosseddu M, Borroni B, and Padovani A
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- 2012
- Full Text
- View/download PDF
43. Nature and nurture in modulating brain damage in pre-symptomatic monogenic FTD: results from the GENFI study
- Author
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Premi, E., Rohrer, J., Grassi, M., Swieten, J., Galimberti, D., Caroline Graff, Masellis, M., Tagliavini, F., Rowe, J., Laforce, R., Finger, E., Frisoni, G., Mendoca, A., Sorbi, S., Gazzina, S., Cosseddu, M., Archetti, S., Gasparotti, R., Manes, M., Padovani, A., and Borroni, B.
44. Altered brain metabolic connectivity at multiscale level in early Parkinson’s disease
- Author
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Maura Cosseddu, Antonella Alberici, Alessandro Padovani, Arianna Sala, Daniela Perani, Andrea Pilotto, Silvia Paola Caminiti, Rosanna Turrone, Luca Presotto, Barbara Paghera, Barbara Borroni, Enrico Premi, Sala, A, Caminiti, S, Presotto, L, Premi, E, Pilotto, A, Turrone, R, Cosseddu, M, Alberici, A, Paghera, B, Borroni, B, Padovani, A, Perani, D, Sala, Arianna, Caminiti, Silvia Paola, Presotto, Luca, Premi, Enrico, Pilotto, Andrea, Turrone, Rosanna, Cosseddu, Maura, Alberici, Antonella, Paghera, Barbara, Borroni, Barbara, Padovani, Alessandro, and Perani, DANIELA FELICITA L.
- Subjects
0301 basic medicine ,Male ,Cerebellum ,Parkinson's disease ,Science ,Neuroimaging ,Biology ,Article ,Basal Ganglia ,03 medical and health sciences ,0302 clinical medicine ,Fluorodeoxyglucose F18 ,Cortex (anatomy) ,Basal ganglia ,Neural Pathways ,medicine ,Connectome ,Image Processing, Computer-Assisted ,Humans ,Aged ,Multidisciplinary ,Resting state fMRI ,Dopaminergic ,Parkinson Disease ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,030104 developmental biology ,medicine.anatomical_structure ,Positron-Emission Tomography ,Correlation analysis ,Medicine ,Female ,Nerve Net ,Neuroscience ,030217 neurology & neurosurgery ,Positron Emission Tomography - Abstract
To explore the effects of PD pathology on brain connectivity, we characterized with an emergent computational approach the brain metabolic connectome using [18F]FDG-PET in early idiopathic PD patients. We applied whole-brain and pathology-based connectivity analyses, using sparse-inverse covariance estimation in thirty-four cognitively normal PD cases and thirty-four age-matched healthy subjects for comparisons. Further, we assessed high-order resting state networks by interregional correlation analysis. Whole-brain analysis revealed altered metabolic connectivity in PD, with local decreases in frontolateral cortex and cerebellum and increases in the basal ganglia. Widespread long-distance decreases were present within the frontolateral cortex as opposed to connectivity increases in posterior cortical regions, all suggestive of a global-scale connectivity reconfiguration. The pathology-based analyses revealed significant connectivity impairment in the nigrostriatal dopaminergic pathway and in the regions early affected by α-synuclein pathology. Notably, significant connectivity changes were present in several resting state networks especially in frontal regions. These findings expand previous imaging evidence of altered connectivity in cognitively stable PD patients by showing pathology-based connectivity changes and disease-specific metabolic architecture reconfiguration at multiple scale levels, from the earliest PD phases. These alterations go well beyond the known striato-cortical connectivity derangement supporting in vivo an extended neural vulnerability in the PD synucleinopathy.
- Published
- 2017
45. Voluptuary Habits and Risk of Frontotemporal Dementia: A Case Control Retrospective Study
- Author
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Alessandro Padovani, Ettore Beghi, Cristina Bonomini, Orazio Zanetti, Carlo Ferrarese, Barbara Borroni, Elisa Bianchi, E Susani, Andrea Salmaggi, Maura Cosseddu, Elisabetta Pupillo, Andrea Pilotto, Paolo Messina, Lucio Tremolizzo, Angelo Aliprandi, Ildebrando Appollonio, Tremolizzo, L, Bianchi, E, Susani, E, Pupillo, E, Messina, P, Aliprandi, A, Salmaggi, A, Cosseddu, M, Pilotto, A, Borroni, B, Padovani, A, Bonomini, C, Zanetti, O, Appollonio, I, Beghi, E, and Ferrarese, C
- Subjects
Male ,medicine.medical_specialty ,Alcohol Drinking ,coffee ,Alcohol ,frontotemporal dementia ,smoking ,03 medical and health sciences ,chemistry.chemical_compound ,Habits ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Coffee intake ,medicine ,Odds Ratio ,Humans ,030212 general & internal medicine ,Risk factor ,Psychiatry ,Life Style ,MED/01 - STATISTICA MEDICA ,Aged ,Retrospective Studies ,MED/26 - NEUROLOGIA ,risk factor ,voluptuary habits ,Clinical Psychology ,Geriatrics and Gerontology ,Psychiatry and Mental Health ,General Neuroscience ,Retrospective cohort study ,General Medicine ,Middle Aged ,medicine.disease ,voluptuary habit ,chemistry ,Case-Control Studies ,Female ,Psychology ,Alcohol consumption ,030217 neurology & neurosurgery ,Frontotemporal dementia - Abstract
Alcohol, coffee, and tobacco consumption was assessed on 151 FTD outpatients and 151 matched controls in a multicenter retrospective case-control design. No association was found for smoking and coffee intake. The risk of FTD was decreased by alcohol consumption (adj. OR 0.30, 95% CI 0.14-0.63); risk reduction was significant in current alcohol consumers (adj. OR 0.22, 95% CI 0.10-0.51). The risk of FTD inversely correlated with the duration of exposure (adj. OR 0.88, 95% CI 0.81-0.95, for every 5 years of exposure increase). Retrospective information and the unknown amount of consumed alcohol are limits of the present work.
- Published
- 2017
46. Cerebrospinal Fluid Tau in Frontotemporal Lobar Degeneration: Clinical, Neuroimaging, and Prognostic Correlates
- Author
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Carlo Cerini, Luigi Caimi, Maria Ferrari, Roberto Gasparotti, Alessandro Padovani, Giuseppe Bellelli, Silvana Archetti, Maura Cosseddu, Monica Di Luca, Barbara Borroni, Enrico Premi, Borroni, B, Cerini, C, Archetti, S, Premi, E, Cosseddu, M, Ferrari, M, Bellelli, G, Gasparotti, R, Caimi, L, Di Luca, M, and Padovani, A
- Subjects
Diagnostic Imaging ,Male ,Pathology ,medicine.medical_specialty ,Amyloid ,tau Proteins ,Neuropsychological Tests ,Grey matter ,cerbrospinal fluid, frontotemporal lobar degeneration, neuroimaging ,Cerebrospinal fluid ,Neuroimaging ,mental disorders ,medicine ,Humans ,Aged ,medicine.diagnostic_test ,General Neuroscience ,Neurodegeneration ,Neuropsychology ,Magnetic resonance imaging ,General Medicine ,Frontotemporal lobar degeneration ,Middle Aged ,Prognosis ,medicine.disease ,Magnetic Resonance Imaging ,Survival Analysis ,Psychiatry and Mental health ,Clinical Psychology ,medicine.anatomical_structure ,Female ,Frontotemporal Lobar Degeneration ,Geriatrics and Gerontology ,Psychology ,Biomarkers ,Follow-Up Studies - Abstract
Frontotemporal lobar degeneration (FTLD) refers to heterogeneous clinical and biological conditions. In FTLD, cerebrospinal fluid (CSF) tau levels have been reported highly variable. The aim of the present study was to evaluate whether CSF tau might be the hallmark of a distinct FTLD phenotype. Fifty-five FTLD patients, who underwent CSF analysis, were considered in the present study. In each patient, a wide standardized neuropsychological evaluation, and CSF tau, phospho-tau, and amyloid-β (Aβ) dosages were performed. Each patient was followed-up to five years, and outcomes carefully recorded. In a subgroup of patients (n = 24), magnetic resonance imaging scanning was performed, by using voxel-based morphometry, for grey matter investigation. The higher the CSF tau levels, the worse the neuropsychological and neuroimaging pattern, mainly characterized by greater language disturbances and left temporal grey matter loss. The same pattern, even if less significant, was associated with CSF phospho-tau, while CSF Aβ levels did not play any influence on FTLD phenotype. FTLD patients with high CSF tau showed poor prognosis compared to those with low CSF tau (p = 0.031). In FTLD, CSF tau levels might be considered a marker of neurodegeneration, associated with a specific clinical and neuroimaging picture, and significantly related to poor outcome. Further studies aimed at defining the biological underpinnings of these findings are warranted.
- Published
- 2011
47. The speech and language FOXP2 gene modulates the phenotype of frontotemporal lobar degeneration
- Author
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Barbara Paghera, Maura Cosseddu, Barbara Borroni, Chiara Agosti, Alessandro Padovani, Carlo Cerini, Silvana Archetti, Barbara Bigni, Giuseppe Bellelli, Enrico Premi, Alice Papetti, Padovani, A, Cosseddu, M, Premi, E, Archett, I, Papetti, A, Agosti, C, Bigni, B, Cerini, C, Paghera, B, Bellelli, G, and Borroni, B
- Subjects
Oncology ,Male ,medicine.medical_specialty ,frontotemporal lobe degeneration, speech, language, gene ,Statistical parametric mapping ,Neuroimaging ,Internal medicine ,mental disorders ,medicine ,Verbal fluency test ,Humans ,Speech ,Allele frequency ,Aged ,Language ,Tomography, Emission-Computed, Single-Photon ,Language Disorders ,Polymorphism, Genetic ,business.industry ,General Neuroscience ,Putamen ,Neuropsychology ,FOXP2 ,Forkhead Transcription Factors ,General Medicine ,Frontotemporal lobar degeneration ,Middle Aged ,medicine.disease ,Psychiatry and Mental health ,Clinical Psychology ,Phenotype ,Female ,Geriatrics and Gerontology ,Frontotemporal Lobar Degeneration ,business ,Follow-Up Studies - Abstract
The FOXP2 gene is mutated in a severe monogenic form of speech and language deficits, but no study on the influence of genetic variations within FOXP2 in neurological disorders characterized by language impairment is available yet. In the present study, we investigated the impact of common FOXP2 polymorphisms with regard to frontotemporal lobar degeneration (FTLD). Two-hundred ten FTLD patients underwent clinical and a wide standardized neuropsychological examination as well as brain imaging. In all patients, and in 200 age-matched healthy controls, four FOXP2 polymorphisms were evaluated, namely rs2396753, rs1456031, rs17137124 and rs1852469. SPECT images were analyzed by Statistical Parametric Mapping (SPM5). No significant differences of the four FOXP2 polymorphisms in genotype distribution and allele frequency between FTLD and controls were observed. A significant and specific association between rs1456031 TT and rs17137124 TT genotypes and verbal fluency scores was reported. The two polymorphisms showed an addictive effect. When the analysis was computed on the number of observations over time, and 391 assessments considered, comparable results were obtained. FTLD patients carrying at-risk polymorphisms showed greater hypoperfusion in the frontal areas, namely the left inferior frontal gyrus, and putamen, compared to the non-carriers (p < 0.005). Genetic variations within FOXP2 do not represent a genetic risk to FTLD per se, but modulate FTLD presentation when disease is overt, affecting language performances and leading to hypoperfusion in language-associated brain areas.
- Published
- 2010
48. Validation and convergent validity of the Boston cognitive assessment (BOCA) in an Italian population: a comparative study with the Montreal cognitive assessment (MoCA) in Alzheimer's disease spectrum.
- Author
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Padovani A, Caratozzolo S, Galli A, Crosani L, Zampini S, Cosseddu M, Turrone R, Zancanaro A, Gumina B, Vicini-Chilovi B, Benussi A, Vyshedskiy A, and Pilotto A
- Abstract
Background: The Boston Cognitive Assessment (BOCA) is a self-administered online test developed for cognitive screening and longitudinal monitoring of brain health in an aging population. The study aimed to validate BOCA in an Italian population and to investigate the convergent validity with the Montreal Cognitive Assessment (MOCA) in healthy ageing population and patients within the Alzheimer Disease spectrum., Methods: BOCA was administered to 150 participants, including cognitively healthy controls (HC, n = 50), patients with mild cognitive impairment (MCI, n = 50), and dementia (DEM, n = 50). The BOCA reliability was assessed using (i) Spearman's correlation analysis between subscales; (ii) Cronbach's alpha calculation, and (iii) Principal Component Analysis. Repeated-measures ANOVA was employed to assess the impact of the sequence of test administrations between the groups. BOCA performance between HS, MCI and DEM and within different severity subgroups were compared using Kruskall Wallis test. Furthermore, a comparison was conducted between MCI patients who tested positive for amyloid and those who tested negative, utilizing Mann Whitney's U-test., Results: Test scores were significantly different between patients and controls (p < 0.001) suggesting good discriminative ability. The Cronbach's alpha was 0.82 indicating a good internal consistency of the BOCA subscales and strong-to-moderate Spearman's correlation coefficients between them. BOCA total and subscores differ across different MoCA severity subgroups and demonstrated strong correlation with MoCA scores (rho = 0.790, p < 0.001)., Conclusions: The Italian version of the BOCA test exhibited validity, feasibility, and accurate discrimination closely performing as MoCA., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
49. Sex Differences in the Severity and Progression of Neuropsychiatric Symptoms Across Different Dementia Types.
- Author
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Silvestri C, Almici V, Libri I, Mattioli I, Cosseddu M, Turrone R, Rivolta J, Grassini C, Caratozzolo S, Alberici A, Marengoni A, Pilotto A, Borroni B, Padovani A, and Benussi A
- Abstract
Background and Objectives: Dementia presents not only differing neuropsychiatric symptoms (NPS) across Alzheimer disease (AD), frontotemporal dementia (FTD), dementia with Lewy bodies (DLB) but also subjective cognitive decline (SCD). This study examined sex-based variations in NPS severity and progression across these conditions., Methods: We performed a longitudinal cohort study including 1,068 participants. Hierarchical generalized linear mixed models were used to model NPS as a function of disease severity and biological sex at birth., Results: Female participants with AD exhibited NPS more frequently than male participants. In FTD, female participants had more frequent delusions, hallucinations, and depression/dysphoria, while male participants had higher instances of agitation/aggression, apathy, disinhibition, and irritability/lability. In DLB, male participants showed higher instances of depression, and female participants more frequently experienced anxiety. In SCD, female participants showed higher nighttime behaviors. The trajectory of NPS significantly differed between sexes., Discussion: These findings highlight sex-specific NPS impact in different neurodegenerative conditions., (© 2024 American Academy of Neurology.)
- Published
- 2024
- Full Text
- View/download PDF
50. Defining the Role of Frailty in the Transition from Mild Cognitive Impairment to Dementia and in Dementia Progression.
- Author
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Benussi A, Mattioli I, Silvestri C, Libri I, Zampini S, Cosseddu M, Turrone R, Amolini C, Caratozzolo S, Borroni B, Marengoni A, and Padovani A
- Subjects
- Humans, Male, Female, Aged, Retrospective Studies, Aged, 80 and over, Mental Status and Dementia Tests, Middle Aged, Neuropsychological Tests, Cognitive Dysfunction psychology, Disease Progression, Dementia psychology, Frailty psychology, Frailty complications, Frailty diagnosis
- Abstract
Introduction: Neurodegenerative diseases are a growing concern in an aging global population. Frailty, often conceptualized as a state of diminished physiological reserve and increased susceptibility to stressors, emerges as a pivotal factor in this context. While frailty may be modified, it is essential to recognize its frequently irreversible nature, necessitating a careful approach when considering its role and influence in the progression from mild cognitive impairment (MCI) to dementia and within dementia progression., Methods: A retrospective study including 1,284 participants, attending a Cognitive Disturbances and Dementia unit from January 2021 to May 2023, was conducted. Frailty was assessed using the clinical frailty scale (CFS) score. Multilevel univariate and multivariate logistic regression models were developed to determine the contributions of patient characteristics, including frailty, to disease progression., Results: Frailty significantly increased with higher global clinical dementia rating (CDR) subgroups, suggesting escalating frailty burden with disease progression. Age, CFS, and mini-mental state examination (MMSE) scores were significant predictors of progression from MCI to dementia and to more severe dementia stages, even when considering the independence from variables contributing to frailty. Patients transitioning to a higher CDR group exhibited higher CFS scores. Age, education, anticholinergic burden, cumulative illness rating scale - geriatric, MMSE, and neuropsychiatric inventory scores significantly contributed to frailty., Conclusions: Frailty plays a critical role in the transition from MCI to dementia and within dementia progression. Age, cognitive impairment, and frailty were identified as significant predictors of disease progression. The CFS is a clinically applicable tool for frailty assessment. Regular frailty assessments may be valuable in early detection and management of dementia., (© 2024 S. Karger AG, Basel.)
- Published
- 2024
- Full Text
- View/download PDF
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