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592 results on '"Bozzali, M."'

1. Does Deep Brain Stimulation worsen cognitive decline in GBA-Parkinson Disease patients? A longitudinal study of the Italian PARKNET cohort

Author

AVENALI, M., primary, Artusi, C.A., additional, Cilia, R., additional, Giannini, G., additional, Cuconato, G., additional, Pasquini, C., additional, Albanese, A., additional, Antonini, A., additional, Bentivoglio, A.R., additional, Bove, F., additional, Bozzali, M., additional, Calandra-Buonaura, G., additional, Carelli, V., additional, Francesco, C., additional, Cocco, A., additional, Cogiamanian, F., additional, Colucci, F., additional, Cortelli, P., additional, Di Fonzo, A., additional, D'Onofrio, V., additional, Eleopra, R., additional, Elia, A.E., additional, Fioravanti, V., additional, Golfrè Andreasi, N., additional, Guerra, A., additional, Ledda, C., additional, Liccari, M., additional, Longo, C., additional, Lopiano, L., additional, Malaguti, M., additional, Mameli, F., additional, Minardi, R., additional, Monfrini, E., additional, Pacchetti, C., additional, Piano, C., additional, Rizzone, M., additional, Romito, L., additional, Sambati, L., additional, Spagnolo, F., additional, Tassorelli, C., additional, Valentino, F., additional, Valzania, F., additional, Zangaglia, R., additional, Zibetti, M., additional, and Valente, E.M., additional

Published
2024
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5. Anisotropic Anomalous Diffusion assessed in the human brain by scalar invariant indices

Author

De Santis, S., Gabrielli, A., Bozzali, M., Maraviglia, B., Macaluso, E., and Capuani, S.

Subjects
Physics - Medical Physics, Condensed Matter - Disordered Systems and Neural Networks
Abstract

A new method to investigate anomalous diffusion in human brain is proposed. The method has been inspired by both the stretched-exponential model proposed by Hall and Barrick (HB) and DTI. Quantities extracted using HB method were able to discriminate different cerebral tissues on the basis of their complexity, expressed by the stretching exponent gamma and of the anisotropy of gamma across different directions. Nevertheless, these quantities were not defined as scalar invariants like mean diffusivity and fractional anisotropy, which are eigenvalues of the diffusion tensor. We hypotesize instead that the signal may be espressed as a simple stretched-exponential only along the principal axes of diffusion, while in a generic direction the signal is modeled as a combination of three different stretched-exponentials. In this way, we derived indices to quantify both the tissue anomalous diffusion and its anisotropy, independently of the reference frame of the experiment. We tested and compare our new method with DTI and HB approaches applying them to 10 healty subjects brain at 3T. Our experimental results show that our parameters are highly correlated to intrinsic local geometry when compared to HB indices. Moreover, they offer a different kind of contrast when compared to DTI outputs. Specifically, our indices show a higher capability to discriminate among different areas of the corpus callosum, which are known to be associated to different axonal densities., Comment: 21 pages, 6 figures, 2 tables

Published
2010

9. Signs and symptoms of COVID-19 in patients with multiple sclerosis

Author

Schiavetti I., Carmisciano L., Ponzano M., Cordioli C., Cocco E., Marfia G. A., Inglese M., Filippi M., Radaelli M., Bergamaschi R., Immovilli P., Capobianco M., De Rossi N., Brichetto G., Scandellari C., Cavalla P., Pesci I., Confalonieri P., Perini P., Trojano M., Lanzillo R., Tedeschi G., Comi G., Battaglia M. A., Patti F., Salvetti M., Sormani M. P., Abbadessa G., Aguglia U., Allegorico L., Rossi Allegri B. M., Alteno A., Amato M. P., Annovazzi P., Antozzi C., Appendino L., Arena S., Baione V., Balgera R., Barcella V., Baroncini D., Barrila C., Bellacosa A., Bellucci G., Bergamaschi V., Bezzini D., Biolzi B., Bisecco A., Bonavita S., Borriello G., Bosa C., Bosco A., Bovis F., Bozzali M., Brambilla L., Brescia Morra V., Buccafusca M., Bucciantini E., Bucello S., Buscarinu M. C., Cabboi M. P., Calabrese M., Calabria F., Caleri F., Camilli F., Caniatti L. M., Cantello R., Capra R., Capuano R., Carta P., Celani M. G., Cellerino M., Cerqua R., Chisari C., Clerici R., Clerico M., Cola G., Conte A., Conti M. Z., Cordano C., Cordera S., Corea F., Correale C., Cottone S., Crescenzo F., Curti E., d'Ambrosio A., D'Amico E., Danni M. C., d'Arma A., Dattola V., de Biase S., De Luca G., De Mercanti S. F., De Mitri P., De Stefano N., Della Cava F. M., Cava M. D., Di Lemme S., di Napoli M., Di Sapio A., Docimo R., Dutto A., Evangelista L., Fanara S., Fantozzi R., Ferraro D., Ferro M. T., Fioretti C., Fratta M., Frau J., Fronza M., Furlan R., Gajofatto A., Gallo A., Gallo P., Gasperini C., Ghazaryan A., Giometto B., Gobbin F., Govone F., Granella F., Grange E., Grasso M. G., Grimaldi L. M. E., Guareschi A., Guaschino C., Guerrieri S., Guidetti D., Juergenson I. B., Iaffaldano P., Ianniello A., Iasevoli L., Imperiale D., Infante M. T., Iodice R., Iovino A., Konrad G., Landi D., Lapucci C., Lavorgna L., L'Episcopo M. R., Leva S., Liberatore G., Lo Re M., Longoni M., Lopiano L., Lorefice L., Lucchini M., Lus G., Maimone D., Malentacchi M., Mallucci G., Malucchi S., Mancinelli C. R., Mancinelli L., Manganotti P., Maniscalco G. T., Mantero V., Marangoni S., Marastoni D., Marinelli F., Marti A., Boneschi Martinelli F., Masserano Z. F., Matta F., Mendozzi L., Meucci G., Miante S., Miele G., Milano E., Mirabella M., Missione R., Moccia M., Moiola L., Montepietra S., MontiBragadin M., Montini F., Motta R., Nardone R., Gabri Nicoletti C., Nobile-Orazio E., Nozzolillo A., Onofrj M., Orlandi R., Palmieri A., Paolicelli D., Pasquali L., Pasto L., Pedrazzoli E., Petracca M., Petrone A., Piantadosi C., Pietroboni A. M., Pinardi F., Portaccio E., Pozzato M., Pozzilli C., Prosperini L., Protti A., Ragonese P., Rasia S., Realmuto S., Repice A., Rigoni E., Rilla M. T., Rinaldi F., Romano C. M., Ronzoni M., Rovaris M., Ruscica F., Sabattini L., Salemi G., Saraceno L., Sartori A., Sbragia E., Scarano G. I., Scarano V., Sessa M., Sgarito C., Sibilia G., Siciliano G., Signori A., Signoriello E., Sinisi L., Sireci F., Sola P., Solaro C., Sotgiu S., Sparaco M., Stromillo M. L., Strumia S., Susani E. L., Tabiadon G., Teatini F., Tomassini V., Tonietti S., Torri V., Tortorella C., Toscano S., Totaro R., Trotta M., Turano G., Ulivelli M., Valentino M., Vaula G., Vecchio D., Vercellino M., Verrengia E. P., Vianello M., Virgilio E., Vitetta F., Vollaro S., Zaffaroni M., Zampolini M., Zarbo I. R., Zito A., Zuliani L., Schiavetti, Irene, Carmisciano, Luca, Ponzano, Marta, Cordioli, Cinzia, Cocco, Eleonora, Marfia, Girolama Alessandra, Inglese, Matilde, Filippi, Massimo, Radaelli, Marta, Bergamaschi, Roberto, Immovilli, Paolo, Capobianco, Marco, De Rossi, Nicola, Brichetto, Giampaolo, Scandellari, Cinzia, Cavalla, Paola, Pesci, Ilaria, Confalonieri, Paolo, Perini, Paola, Trojano, Maria, Lanzillo, Roberta, Tedeschi, Gioacchino, Comi, Giancarlo, Battaglia, Mario Alberto, Patti, Francesco, Salvetti, Marco, Sormani, Maria Pia, Gianmarco, Abbadessa, Umberto, Aguglia, Allegorico, Lia, Beatrice Maria Rossi Allegri, Anastasia, Alteno, Amato, MARIA PIA, Pietro, Annovazzi, Carlo, Antozzi, Lucia, Appendino, Sebastiano, Arena, Viola, Baione, Roberto, Balgera, Valeria, Barcella, Damiano, Baroncini, Caterina, Barrilà, Alessandra, Bellacosa, Gianmarco, Bellucci, Valeria, Bergamaschi, Daiana, Bezzini, Beatrice, Biolzi, Bisecco, Alvino, Simona, Bonavita, Giovanna, Borriello, Chiara, Bosa, Antonio, Bosco, Francesca, Bovi, Marco, Bozzali, Laura, Brambilla, BRESCIA MORRA, Vincenzo, Maria, Buccafusca, Elisabetta, Bucciantini, Sebastiano, Bucello, Maria Chiara Buscarinu, Maria Paola Cabboi, Massimiliano, Calabrese, Francesca, Calabria, Francesca, Caleri, Federico, Camilli, Luisa Maria Caniatti, Roberto, Cantello, Ruggero, Capra, Rocco, Capuano, Patrizia, Carta, Maria Grazia Celani, Maria, Cellerino, Raffaella, Cerqua, Clara, Chisari, Raffaella, Clerici, Marinella, Clerico, Gaia, Cola, Antonella, Conte, Marta Zaffira Conti, Christian, Cordano, Susanna, Cordera, Francesco, Corea, Claudio, Correale, Salvatore, Cottone, Francesco, Crescenzo, Erica, Curti, Alessandro, D’Ambrosio, Emanuele, D’Amico, Maura Chiara Danni, Alessia, D’Arma, Vincenzo, Dattola, Stefano de Biase, Giovanna De Luca, Stefania Federica De Mercanti, Paolo De Mitri, Nicola De Stefano, Fabio Maria Della Cava, Marco Della Cava, Sonia Di Lemme, Mario di Napoli, Alessia Di Sapio, Renato, Docimo, Anna, Dutto, Luana, Evangelista, Salvatore, Fanara, Roberta, Fantozzi, Diana, Ferraro, Maria Teresa Ferrò, Cristina, Fioretti, Mario, Fratta, Jessica, Frau, Marzia, Fronza, Roberto, Furlan, Alberto, Gajofatto, Gallo, Antonio, Paolo, Gallo, Claudio, Gasperini, Anna, Ghazaryan, Bruno, Giometto, Francesca, Gobbin, Flora, Govone, Franco, Granella, Erica, Grange, Grasso, MARIA GRAZIA, Grimaldi, Luigi M. E., Angelica, Guareschi, Clara, Guaschino, Simone, Guerrieri, Donata, Guidetti, Ina Barbara Juergenson, Pietro, Iaffaldano, Ianniello, Antonio, Luigi, Iasevoli, Daniele, Imperiale, Maria Teresa Infante, Iodice, Rosa, Iovino, Aniello, Giovanna, Konrad, Doriana, Landi, Caterina, Lapucci, Luigi, Lavorgna, Maria Rita L’Episcopo, Serena, Leva, Giuseppe, Liberatore, Marianna Lo Re, Marco, Longoni, Leonardo, Lopiano, Lorena, Lorefice, Matteo, Lucchini, Lus, Giacomo, Maimone, Davide, Maria, Malentacchi, Giulia, Mallucci, Simona, Malucchi, Chiara Rosa Mancinelli, Luca, Mancinelli, Paolo, Manganotti, Giorgia Teresa Maniscalco, Vittorio, Mantero, Sabrina, Marangoni, Damiano, Marastoni, Fabiana, Marinelli, Marti, NICOLA ALESSANDRO, Filippo Boneschi Martinelli, Zoli Federco Masserano, Francesca, Matta, Laura, Mendozzi, Giuseppe, Meucci, Silvia, Miante, Giuseppina, Miele, Eva, Milano, Massimiliano, Mirabella, Rosanna, Missione, Moccia, Marcello, Lucia, Moiola, Sara, Montepietra, Margherita, Montibragadin, Federico, Montini, Roberta, Motta, Raffaele, Nardone, Carolina Gabri Nicoletti, Eduardo, Nobile‐orazio, Nozzolillo, Agostino, Marco, Onofrj, Riccardo, Orlandi, Anna, Palmieri, Damiano, Paolicelli, Livia, Pasquali, Luisa, Pastò, Elisabetta, Pedrazzoli, Petracca, Maria, Alfredo, Petrone, Carlo, Piantadosi, Pietroboni, Anna M., Federica, Pinardi, Emilio, Portaccio, Mattia, Pozzato, Pozzilli, Carlo, Luca, Prosperini, Alessandra, Protti, Paolo, Ragonese, Sarah, Rasia, Sabrina, Realmuto, Anna, Repice, Eleonora, Rigoni, Maria Teresa Rilla, DELLA RATTA RINALDI, Francesca, Calogero Marcello Romano, Marco, Ronzoni, Marco, Rovari, Francesca, Ruscica, Loredana, Sabattini, Giuseppe, Salemi, Lorenzo, Saraceno, Alessia, Sartori, Arianna, Sartori, Elvira, Sbragia, Giuditta Ilaria Scarano, Valentina, Scarano, Maria, Sessa, Caterina, Sgarito, Sibilia, Grazia, Gabriele, Siciliano, Alessio, Signori, Signoriello, Elisabetta, Sinisi, Leonardo, Francesca, Sireci, Patrizia, Sola, Claudio, Solaro, Stefano, Sotgiu, Maddalena, Sparaco, Maria Laura Stromillo, Silvia, Strumia, Emanuela Laura Susani, Giulietta, Tabiadon, Francesco, Teatini, Valentina, Tomassini, Simone, Tonietti, Valentina, Torri, Tortorella, Carla, Simona, Toscano, Rocco, Totaro, Maria, Trotta, Gabriella, Turano, Monica, Ulivelli, Manzo, Valentino, Giovanna, Vaula, Domizia, Vecchio, Marco, Vercellino, Elena Pinuccia Verrengia, Marika, Vianello, Eleonora, Virgilio, Francesca, Vitetta, Vollaro, Stefano, Mauro, Zaffaroni, Mauro, Zampolini, Ignazio Roberto Zarbo, Antonio, Zito, and Luigi Zuliani, Schiavetti, I., Carmisciano, L., Ponzano, M., Cordioli, C., Cocco, E., Marfia, G. A., Inglese, M., Filippi, M., Radaelli, M., Bergamaschi, R., Immovilli, P., Capobianco, M., De Rossi, N., Brichetto, G., Scandellari, C., Cavalla, P., Pesci, I., Confalonieri, P., Perini, P., Trojano, M., Lanzillo, R., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Sormani, M. P., Abbadessa, G., Aguglia, U., Allegorico, L., Rossi Allegri, B. M., Alteno, A., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrila, C., Bellacosa, A., Bellucci, G., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia Morra, V., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cola, G., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della Cava, F. M., Cava, M. D., Di Lemme, S., di Napoli, M., Di Sapio, A., Docimo, R., Dutto, A., Evangelista, L., Fanara, S., Fantozzi, R., Ferraro, D., Ferro, M. T., Fioretti, C., Fratta, M., Frau, J., Fronza, M., Furlan, R., Gajofatto, A., Gallo, A., Gallo, P., Gasperini, C., Ghazaryan, A., Giometto, B., Gobbin, F., Govone, F., Granella, F., Grange, E., Grasso, M. G., Grimaldi, L. M. E., Guareschi, A., Guaschino, C., Guerrieri, S., Guidetti, D., Juergenson, I. B., Iaffaldano, P., Ianniello, A., Iasevoli, L., Imperiale, D., Infante, M. T., Iodice, R., Iovino, A., Konrad, G., Landi, D., Lapucci, C., Lavorgna, L., L'Episcopo, M. R., Leva, S., Liberatore, G., Lo Re, M., Longoni, M., Lopiano, L., Lorefice, L., Lucchini, M., Lus, G., Maimone, D., Malentacchi, M., Mallucci, G., Malucchi, S., Mancinelli, C. R., Mancinelli, L., Manganotti, P., Maniscalco, G. T., Mantero, V., Marangoni, S., Marastoni, D., Marinelli, F., Marti, A., Boneschi Martinelli, F., Masserano, Z. F., Matta, F., Mendozzi, L., Meucci, G., Miante, S., Miele, G., Milano, E., Mirabella, M., Missione, R., Moccia, M., Moiola, L., Montepietra, S., Montibragadin, M., Montini, F., Motta, R., Nardone, R., Gabri Nicoletti, C., Nobile-Orazio, E., Nozzolillo, A., Onofrj, M., Orlandi, R., Palmieri, A., Paolicelli, D., Pasquali, L., Pasto, L., Pedrazzoli, E., Petracca, M., Petrone, A., Piantadosi, C., Pietroboni, A. M., Pinardi, F., Portaccio, E., Pozzato, M., Pozzilli, C., Prosperini, L., Protti, A., Ragonese, P., Rasia, S., Realmuto, S., Repice, A., Rigoni, E., Rilla, M. T., Rinaldi, F., Romano, C. M., Ronzoni, M., Rovaris, M., Ruscica, F., Sabattini, L., Salemi, G., Saraceno, L., Sartori, A., Sbragia, E., Scarano, G. I., Scarano, V., Sessa, M., Sgarito, C., Sibilia, G., Siciliano, G., Signori, A., Signoriello, E., Sinisi, L., Sireci, F., Sola, P., Solaro, C., Sotgiu, S., Sparaco, M., Stromillo, M. L., Strumia, S., Susani, E. L., Tabiadon, G., Teatini, F., Tomassini, V., Tonietti, S., Torri, V., Tortorella, C., Toscano, S., Totaro, R., Trotta, M., Turano, G., Ulivelli, M., Valentino, M., Vaula, G., Vecchio, D., Vercellino, M., Verrengia, E. P., Vianello, M., Virgilio, E., Vitetta, F., Vollaro, S., Zaffaroni, M., Zampolini, M., Zarbo, I. R., Zito, A., and Zuliani, L.

Subjects
Multiple Sclerosis, Anosmia, Clinical Sciences, neurological disorders, Neurodegenerative, Settore MED/26, demyelinating disease, COVID-19, demyelinating diseases, disease-modifying treatment, multiple sclerosis, Humans, neurological disorder, Aged, Neurology & Neurosurgery, SARS-CoV-2, Pain Research, Neurosciences, Brain Disorders, Settore MED/26 - NEUROLOGIA, Good Health and Well Being, Neurology, multiple sclerosi, Neurology (clinical), MuSC-19 Study Group, Ageusia, Human
Abstract

Background and purpose: Clinical outcomes of multiple sclerosis (MS) patients affected by coronavirus disease 2019 (COVID-19) have been thoroughly investigated, but a further analysis on main signs and symptoms and their risk factors still needs attention. The objective of this study was to group together and describe based on similarity the most common signs and symptoms of COVID-19 in MS patients and identify all factors associated with their manifestation. Method: Logistic and linear regression models were run to recognize factors associated with each pooled group of symptoms and their total number. Results: From March 2020 to November 2021, data were collected from 1354 MS patients with confirmed infection of COVID-19. Ageusia and anosmia was less frequent in older people (odds ratio [OR] 0.98; p=0.005) and more in smoker patients (OR 1.39; p=0.049). Smoke was also associated with an incremental number of symptoms (OR 1.24; p=0.031), substance abuse (drugs or alcohol), conjunctivitis and rash (OR 5.20; p=0.042) and the presence of at least one comorbidity with shortness of breath, tachycardia or chest pain (OR 1.24; p=0.008). Some disease-modifying therapies were associated with greater frequencies of certain COVID-19 symptoms (association between anti-CD20 therapies and increment in the number of concomitant symptoms: OR 1.29; p=0.05). Differences in frequencies between the three waves were found for flu-like symptoms (G1, p=0.024), joint or muscle pain (G2, p=0.013) and ageusia and anosmia (G5, p < 0.001). All cases should be referred to variants up to Delta. Conclusion: Several factors along with the choice of specific therapeutic approaches might have a different impact on the occurrence of some COVID-19 symptoms.

Published
2022

10. The Italian dementia with Lewy bodies study group (DLB-SINdem): toward a standardization of clinical procedures and multicenter cohort studies design

Author

Bonanni, L., Cagnin, A., Agosta, F., Babiloni, C., Borroni, B., Bozzali, M., Bruni, A. C., Filippi, M., Galimberti, D., Monastero, R., Muscio, C., Parnetti, L., Perani, D., Serra, L., Silani, V., Tiraboschi, P., Padovani, A., Alberici, A., Alberoni, M., Amici, S., Appollonio, I., Arena, M.G., Arighi, A., Avanzi, S., Bagella, C.F., Baglio, F., Barocco, F., Belardinelli, N., Bonuccelli, U., Bottini, G., Bruno Bossio, R., Bruno, G., Buccomino, D., Cacchiò, G., Calabrese, E., Campanelli, A., Canevelli, M., Canu, E.D.G., Cappa, A., Capra, C., Carapelle, E., Caratozzolo, S., Carbone, G.F.S., Cattaruzza, T., Cerami, C., Cester, A., Cheldi, A., Cherchi, R., Chiari, A., Cirafisi, C., Colao, R., Confaloni, A., Conti, M.Z., Costa, A., Costa, B., Cotelli, M.S., Cova, I., Cravello, L., Cumbo, E., Cupidi, C., De Togni, L., Del Din, G., Del Re, M.L., Dentizzi, C., Di Lorenzo, F., Di Stefano, F., Dikova, N., Farina, E., Floris, G., Foti, A., Franceschi, M., Fumagalli, G.G., Gabelli, C., Ghidoni, E., Giannandrea, D., Giordana, M.T., Giorelli, M., Giubilei, F., Grimaldi, L., Grimaldi, R., Guglielmi, V., Lanari, A., Le Pira, F., Letteri, F., Levi Minzi, G.V., Lorusso, S., Ludovico, L., Luzzi, S., Maggiore, L., Magnani, G., Mancini, G., Manconi, F.M., Manfredi, L., Maniscalco, M., Marano, P., Marcon, M., Marcone, A., Marra, C., Martorana, A., Mascia, M.G., Mascia, V., Mauri, M., Mazzei, B., Meloni, M., Merlo, P., Messa, G., Milia, A., Monacelli, F., Montecalvo, G., Moschella, V., Mura, G., Nemni, R., Nobili, F., Notarelli, A., Di Giacomo, R., Onofrj, M., Paci, C., Padiglioni, C., Perini, M., Perotta, D., Perri, Formenti A., Perri, R., Piccininni, C., Piccoli, T., Pilia, G., Pilotto, A., Poli, S., Pomati, S., Pompanin, S., Pucci, E., Puccio, G., Quaranta, D., Rainero, I., Rea, G., Realmuto, S., Riva, M., Rizzetti, M.C., Rolma, G., Rozzini, L., Sacco, L., Saibene, F.L., Scarpini, E., Sensi, S., Seripa, D., Sinforiani, E., Sorbi, S., Sorrentino, G., Spallazzi, M., Stracciari, A., Talarico, G., Tassinari, T., Thomas, A., Tiezzi, A., Tomassini, P.F., Trebbastoni, A., Tremolizzo, L., Tripi, G., Ursini, F., Vaianella, L., Valluzzi, F., Vezzadini, G., Vista, M., Volontè, M.A., On behalf of DLB-SINdem study group, and Istituto Superiore di Sanità

Published
2017
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11. The effect of air pollution on COVID-19 severity in a sample of patients with multiple sclerosis

Author

Bergamaschi, R., Ponzano, M., Schiavetti, I., Carmisciano, L., Cordioli, C., Filippi, M., Radaelli, M., Immovilli, P., Capobianco, M., De Rossi, N., Brichetto, G., Cocco, E., Scandellari, C., Cavalla, P., Pesci, I., Zito, A., Confalonieri, P., Marfia, G. A., Perini, P., Inglese, M., Trojano, M., Brescia Morra, V., Pisoni, E., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Sormani, M. P., Abbadessa, G., Aguglia, U., Allegorico, L., Allegri, R. B. M., Alteno, A., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrilà, C., Bellacosa, A., Bellucci, G., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia, M. V., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cola, G., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della, C. M., Mirabella, Massimiliano, MuSC-19 study, Group., Mirabella M. (ORCID:0000-0002-7783-114X), Bergamaschi, R., Ponzano, M., Schiavetti, I., Carmisciano, L., Cordioli, C., Filippi, M., Radaelli, M., Immovilli, P., Capobianco, M., De Rossi, N., Brichetto, G., Cocco, E., Scandellari, C., Cavalla, P., Pesci, I., Zito, A., Confalonieri, P., Marfia, G. A., Perini, P., Inglese, M., Trojano, M., Brescia Morra, V., Pisoni, E., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Sormani, M. P., Abbadessa, G., Aguglia, U., Allegorico, L., Allegri, R. B. M., Alteno, A., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrilà, C., Bellacosa, A., Bellucci, G., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia, M. V., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cola, G., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della, C. M., Mirabella, Massimiliano, MuSC-19 study, Group., and Mirabella M. (ORCID:0000-0002-7783-114X)

Abstract

Background and purpose Some studies have shown that air pollution, often assessed by thin particulate matter with diameter below 2.5 mu g/m(3) (PM2.5), may contribute to severe COVID-19 courses, as well as play a role in the onset and evolution of multiple sclerosis (MS). However, the impact of air pollution on COVID-19 has never been explored specifically amongst patients with MS (PwMS). This retrospective observational study aims to explore associations between PM2.5 and COVID-19 severity amongst PwMS. Methods Data were retrieved from an Italian web-based platform (MuSC-19) which includes PwMS with COVID-19. PM2.5 2016-2018 average concentrations were provided by the Copernicus Atmospheric Monitoring Service. Italian patients inserted in the platform from 15 January 2020 to 9 April 2021 with a COVID-19 positive test were included. Ordered logistic regression models were used to study associations between PM2.5 and COVID-19 severity. Results In all, 1087 patients, of whom 13% required hospitalization and 2% were admitted to an intensive care unit or died, were included. Based on the multivariate analysis, higher concentrations of PM2.5 increased the risk of worse COVID-19 course (odds ratio 1.90; p = 0.009). Conclusions Even if several other factors explain the unfavourable course of COVID-19 in PwMS, the role of air pollutants must be considered and further investigated.

Published
2022

12. Signs and symptoms of COVID-19 in patients with multiple sclerosis

Author

Schiavetti, I., Carmisciano, L., Ponzano, M., Cordioli, C., Cocco, E., Marfia, G. A., Inglese, M., Filippi, M., Radaelli, M., Bergamaschi, R., Immovilli, P., Capobianco, M., De Rossi, N., Brichetto, G., Scandellari, C., Cavalla, P., Pesci, I., Confalonieri, P., Perini, P., Trojano, M., Lanzillo, R., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Sormani, M. P., Abbadessa, G., Aguglia, U., Allegorico, L., Rossi Allegri, B. M., Alteno, A., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrila, C., Bellacosa, A., Bellucci, G., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia Morra, V., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cola, G., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della Cava, F. M., Cava, M. D., Di Lemme, S., di Napoli, M., Di Sapio, A., Docimo, R., Dutto, A., Evangelista, L., Fanara, S., Fantozzi, R., Ferraro, D., Ferro, M. T., Fioretti, C., Fratta, M., Frau, J., Fronza, M., Furlan, R., Gajofatto, A., Gallo, A., Gallo, P., Gasperini, C., Ghazaryan, A., Giometto, B., Gobbin, F., Govone, F., Granella, F., Grange, E., Grasso, M. G., Grimaldi, L. M. E., Guareschi, A., Guaschino, C., Guerrieri, S., Guidetti, D., Juergenson, I. B., Iaffaldano, P., Ianniello, A., Iasevoli, L., Imperiale, D., Infante, M. T., Iodice, R., Iovino, A., Konrad, G., Landi, D., Lapucci, C., Lavorgna, L., L'Episcopo, M. R., Leva, S., Liberatore, G., Lo Re, M., Longoni, M., Lopiano, L., Lorefice, L., Lucchini, Matteo, Lus, G., Maimone, D., Malentacchi, M., Mallucci, G., Malucchi, S., Mancinelli, C. R., Mancinelli, L., Manganotti, P., Maniscalco, G. T., Mantero, V., Marangoni, S., Marastoni, D., Marinelli, F., Marti, A., Boneschi Martinelli, F., Masserano, Z. F., Matta, F., Mendozzi, L., Meucci, G., Miante, S., Miele, G., Milano, E., Mirabella, Massimiliano, Missione, R., Moccia, M., Moiola, L., Montepietra, S., Montibragadin, M., Montini, F., Motta, R., Nardone, R., Gabri Nicoletti, C., Nobile-Orazio, E., Nozzolillo, A., Onofrj, M., Orlandi, R., Palmieri, A., Paolicelli, D., Pasquali, L., Pasto, L., Pedrazzoli, E., Petracca, M., Petrone, A., Piantadosi, C., Pietroboni, A. M., Pinardi, F., Portaccio, E., Pozzato, M., Pozzilli, C., Prosperini, L., Protti, A., Ragonese, P., Rasia, S., Realmuto, S., Repice, A., Rigoni, E., Rilla, M. T., Rinaldi, F., Romano, C. M., Ronzoni, M., Rovaris, M., Ruscica, F., Sabattini, L., Salemi, G., Saraceno, L., Sartori, A., Sbragia, E., Scarano, G. I., Scarano, V., Sessa, M., Sgarito, C., Sibilia, G., Siciliano, G., Signori, A., Signoriello, E., Sinisi, L., Sireci, F., Sola, P., Solaro, C., Sotgiu, S., Sparaco, M., Stromillo, M. L., Strumia, S., Susani, E. L., Tabiadon, G., Teatini, F., Tomassini, V., Tonietti, S., Torri, V., Tortorella, C., Toscano, S., Totaro, R., Trotta, M., Turano, G., Ulivelli, M., Valentino, M., Vaula, G., Vecchio, D., Vercellino, M., Verrengia, E. P., Vianello, M., Virgilio, E., Vitetta, F., Vollaro, S., Zaffaroni, M., Zampolini, M., Zarbo, I. R., Zito, A., Zuliani, L., Lucchini M. (ORCID:0000-0002-0447-2297), Mirabella M. (ORCID:0000-0002-7783-114X), Schiavetti, I., Carmisciano, L., Ponzano, M., Cordioli, C., Cocco, E., Marfia, G. A., Inglese, M., Filippi, M., Radaelli, M., Bergamaschi, R., Immovilli, P., Capobianco, M., De Rossi, N., Brichetto, G., Scandellari, C., Cavalla, P., Pesci, I., Confalonieri, P., Perini, P., Trojano, M., Lanzillo, R., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Sormani, M. P., Abbadessa, G., Aguglia, U., Allegorico, L., Rossi Allegri, B. M., Alteno, A., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrila, C., Bellacosa, A., Bellucci, G., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia Morra, V., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cola, G., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della Cava, F. M., Cava, M. D., Di Lemme, S., di Napoli, M., Di Sapio, A., Docimo, R., Dutto, A., Evangelista, L., Fanara, S., Fantozzi, R., Ferraro, D., Ferro, M. T., Fioretti, C., Fratta, M., Frau, J., Fronza, M., Furlan, R., Gajofatto, A., Gallo, A., Gallo, P., Gasperini, C., Ghazaryan, A., Giometto, B., Gobbin, F., Govone, F., Granella, F., Grange, E., Grasso, M. G., Grimaldi, L. M. E., Guareschi, A., Guaschino, C., Guerrieri, S., Guidetti, D., Juergenson, I. B., Iaffaldano, P., Ianniello, A., Iasevoli, L., Imperiale, D., Infante, M. T., Iodice, R., Iovino, A., Konrad, G., Landi, D., Lapucci, C., Lavorgna, L., L'Episcopo, M. R., Leva, S., Liberatore, G., Lo Re, M., Longoni, M., Lopiano, L., Lorefice, L., Lucchini, Matteo, Lus, G., Maimone, D., Malentacchi, M., Mallucci, G., Malucchi, S., Mancinelli, C. R., Mancinelli, L., Manganotti, P., Maniscalco, G. T., Mantero, V., Marangoni, S., Marastoni, D., Marinelli, F., Marti, A., Boneschi Martinelli, F., Masserano, Z. F., Matta, F., Mendozzi, L., Meucci, G., Miante, S., Miele, G., Milano, E., Mirabella, Massimiliano, Missione, R., Moccia, M., Moiola, L., Montepietra, S., Montibragadin, M., Montini, F., Motta, R., Nardone, R., Gabri Nicoletti, C., Nobile-Orazio, E., Nozzolillo, A., Onofrj, M., Orlandi, R., Palmieri, A., Paolicelli, D., Pasquali, L., Pasto, L., Pedrazzoli, E., Petracca, M., Petrone, A., Piantadosi, C., Pietroboni, A. M., Pinardi, F., Portaccio, E., Pozzato, M., Pozzilli, C., Prosperini, L., Protti, A., Ragonese, P., Rasia, S., Realmuto, S., Repice, A., Rigoni, E., Rilla, M. T., Rinaldi, F., Romano, C. M., Ronzoni, M., Rovaris, M., Ruscica, F., Sabattini, L., Salemi, G., Saraceno, L., Sartori, A., Sbragia, E., Scarano, G. I., Scarano, V., Sessa, M., Sgarito, C., Sibilia, G., Siciliano, G., Signori, A., Signoriello, E., Sinisi, L., Sireci, F., Sola, P., Solaro, C., Sotgiu, S., Sparaco, M., Stromillo, M. L., Strumia, S., Susani, E. L., Tabiadon, G., Teatini, F., Tomassini, V., Tonietti, S., Torri, V., Tortorella, C., Toscano, S., Totaro, R., Trotta, M., Turano, G., Ulivelli, M., Valentino, M., Vaula, G., Vecchio, D., Vercellino, M., Verrengia, E. P., Vianello, M., Virgilio, E., Vitetta, F., Vollaro, S., Zaffaroni, M., Zampolini, M., Zarbo, I. R., Zito, A., Zuliani, L., Lucchini M. (ORCID:0000-0002-0447-2297), and Mirabella M. (ORCID:0000-0002-7783-114X)

Abstract

Background and purpose Clinical outcomes of multiple sclerosis (MS) patients affected by coronavirus disease 2019 (COVID-19) have been thoroughly investigated, but a further analysis on main signs and symptoms and their risk factors still needs attention. The objective of this study was to group together and describe based on similarity the most common signs and symptoms of COVID-19 in MS patients and identify all factors associated with their manifestation. Method Logistic and linear regression models were run to recognize factors associated with each pooled group of symptoms and their total number. Results From March 2020 to November 2021, data were collected from 1354 MS patients with confirmed infection of COVID-19. Ageusia and anosmia was less frequent in older people (odds ratio [OR] 0.98; p = 0.005) and more in smoker patients (OR 1.39; p = 0.049). Smoke was also associated with an incremental number of symptoms (OR 1.24; p = 0.031), substance abuse (drugs or alcohol), conjunctivitis and rash (OR 5.20; p = 0.042) and the presence of at least one comorbidity with shortness of breath, tachycardia or chest pain (OR 1.24; p = 0.008). Some disease-modifying therapies were associated with greater frequencies of certain COVID-19 symptoms (association between anti-CD20 therapies and increment in the number of concomitant symptoms: OR 1.29; p = 0.05). Differences in frequencies between the three waves were found for flu-like symptoms (G1, p = 0.024), joint or muscle pain (G2, p = 0.013) and ageusia and anosmia (G5, p < 0.001). All cases should be referred to variants up to Delta. Conclusion Several factors along with the choice of specific therapeutic approaches might have a different impact on the occurrence of some COVID-19 symptoms.

Published
2022

13. SARS-CoV-2 serology after COVID-19 in multiple sclerosis: An international cohort study

Author

Sormani, M. P., Schiavetti, I., Landi, D., Carmisciano, L., De Rossi, N., Cordioli, C., Moiola, L., Radaelli, M., Immovilli, P., Capobianco, M., Brescia Morra, V., Trojano, M., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Fragoso, Y. D., Sen, S., Siva, A., Furlan, R., Salvetti, M., Abbadessa, G., Aguglia, U., Allegorico, L., Allegri, R. B. M., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrila, C., Bellacosa, A., Bellucci, G., Bergamaschi, R., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia, M. V., Brichetto, G., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Cavalla, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cocco, E., Cola, G., Confalonieri, P., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della Cava, M., di Napoli, M., Di Sapio, A., Docimo, R., Dutto, A., Evangelista, L., Fanara, S., Ferraro, D., Ferro, M. T., Filippi, M., Fioretti, C., Fratta, M., Frau, J., Fronza, M., Gajofatto, A., Gallo, A., Gallo, P., Gasperini, C., Ghazaryan, A., Giometto, B., Gobbin, F., Govone, F., Granella, F., Grange, E., Grasso, M. G., Guareschi, A., Guaschino, C., Guerrieri, S., Guidetti, D., Iaffaldano, P., Ianniello, A., Iasevoli, L., Imperiale, D., Infante, M. T., Inglese, M., Iodice, R., Iovino, A., Konrad, G., Lanzillo, R., Lapucci, C., Lavorgna, L., L'Episcopo Maria, R., Leva, S., Liberatore, G., Lo Re, M., Longoni, M., Lopiano, L., Lorefice, L., Lucchini, Matteo, Lus, G., Maimone, D., Malentacchi, M., Mallucci, G., Malucchi, S., Mancinelli, C. R., Mancinelli, L., Manganotti, P., Maniscalco, T. G., Mantero, V., Marangoni, S., Marastoni, D., Marfia, A. G., Marinelli, F., Marti, A., Martinelli Boneschi, F., Masserano Zoli, F., Matta, F., Mendozzi, L., Meucci, G., Miante, S., Miele, G., Milano, E., Mirabella, Massimiliano, Missione, R., Moccia, M., Montepietra, S., Monti Bragadin, M., Montini, F., Motta, R., Nardone, R., Nicoletti, C. G., Nobile-Orazio, E., Nozzolillo, A., Onofrj, M., Orlandi, R., Palmieri, A., Paolicelli, D., Pasquali, L., Pasto, L., Pedrazzoli, E., Perini, P., Pesci, I., Petracca, M., Petrone, A., Piantadosi, C., Pietroboni, A. M., Pinardi, F., Ponzano, M., Portaccio, E., Pozzato, M., Pozzilli, C., Prosperini, L., Protti, A., Ragonese, P., Rasia, S., Realmuto, S., Repice, A., Rigoni, E., Rilla, M. T., Rinaldi, F., Romano, C. M., Ronzoni, M., Rovaris, M., Ruscica, F., Sabattini, L., Salemi, G., Saraceno, L., Sartori, A., Sbragia, E., Scandellari, C., Scarano Giuditta, I., Scarano, V., Schillaci, V., Sessa, M., Sgarito, C., Sibilia, G., Siciliano, G., Signori, A., Signoriello, E., Sinisi, L., Sireci, F., Sola, P., Solaro, C., Sotgiu, S., Sparaco, M., Stromillo, M. L., Strumia, S., Susani, L. E., Tabiadon, G., Teatini, F., Tomassini, V., Tonietti, S., Torri, C. V., Tortorella, C., Toscano, S., Totaro, R., Trotta, M., Turano, G., Ulivelli, M., Valentino, M., Vaula, G., Vecchio, D., Vercellino, M., Verrengia, E. P., Vianello, M., Virgilio, E., Vitetta, F., Vollaro, S., Zaffaroni, M., Zampolini, M., Zarbo, I. R., Zito, A., Zuliani, L., Lucchini M. (ORCID:0000-0002-0447-2297), Mirabella M. (ORCID:0000-0002-7783-114X), Sormani, M. P., Schiavetti, I., Landi, D., Carmisciano, L., De Rossi, N., Cordioli, C., Moiola, L., Radaelli, M., Immovilli, P., Capobianco, M., Brescia Morra, V., Trojano, M., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Fragoso, Y. D., Sen, S., Siva, A., Furlan, R., Salvetti, M., Abbadessa, G., Aguglia, U., Allegorico, L., Allegri, R. B. M., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrila, C., Bellacosa, A., Bellucci, G., Bergamaschi, R., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia, M. V., Brichetto, G., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Cavalla, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cocco, E., Cola, G., Confalonieri, P., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della Cava, M., di Napoli, M., Di Sapio, A., Docimo, R., Dutto, A., Evangelista, L., Fanara, S., Ferraro, D., Ferro, M. T., Filippi, M., Fioretti, C., Fratta, M., Frau, J., Fronza, M., Gajofatto, A., Gallo, A., Gallo, P., Gasperini, C., Ghazaryan, A., Giometto, B., Gobbin, F., Govone, F., Granella, F., Grange, E., Grasso, M. G., Guareschi, A., Guaschino, C., Guerrieri, S., Guidetti, D., Iaffaldano, P., Ianniello, A., Iasevoli, L., Imperiale, D., Infante, M. T., Inglese, M., Iodice, R., Iovino, A., Konrad, G., Lanzillo, R., Lapucci, C., Lavorgna, L., L'Episcopo Maria, R., Leva, S., Liberatore, G., Lo Re, M., Longoni, M., Lopiano, L., Lorefice, L., Lucchini, Matteo, Lus, G., Maimone, D., Malentacchi, M., Mallucci, G., Malucchi, S., Mancinelli, C. R., Mancinelli, L., Manganotti, P., Maniscalco, T. G., Mantero, V., Marangoni, S., Marastoni, D., Marfia, A. G., Marinelli, F., Marti, A., Martinelli Boneschi, F., Masserano Zoli, F., Matta, F., Mendozzi, L., Meucci, G., Miante, S., Miele, G., Milano, E., Mirabella, Massimiliano, Missione, R., Moccia, M., Montepietra, S., Monti Bragadin, M., Montini, F., Motta, R., Nardone, R., Nicoletti, C. G., Nobile-Orazio, E., Nozzolillo, A., Onofrj, M., Orlandi, R., Palmieri, A., Paolicelli, D., Pasquali, L., Pasto, L., Pedrazzoli, E., Perini, P., Pesci, I., Petracca, M., Petrone, A., Piantadosi, C., Pietroboni, A. M., Pinardi, F., Ponzano, M., Portaccio, E., Pozzato, M., Pozzilli, C., Prosperini, L., Protti, A., Ragonese, P., Rasia, S., Realmuto, S., Repice, A., Rigoni, E., Rilla, M. T., Rinaldi, F., Romano, C. M., Ronzoni, M., Rovaris, M., Ruscica, F., Sabattini, L., Salemi, G., Saraceno, L., Sartori, A., Sbragia, E., Scandellari, C., Scarano Giuditta, I., Scarano, V., Schillaci, V., Sessa, M., Sgarito, C., Sibilia, G., Siciliano, G., Signori, A., Signoriello, E., Sinisi, L., Sireci, F., Sola, P., Solaro, C., Sotgiu, S., Sparaco, M., Stromillo, M. L., Strumia, S., Susani, L. E., Tabiadon, G., Teatini, F., Tomassini, V., Tonietti, S., Torri, C. V., Tortorella, C., Toscano, S., Totaro, R., Trotta, M., Turano, G., Ulivelli, M., Valentino, M., Vaula, G., Vecchio, D., Vercellino, M., Verrengia, E. P., Vianello, M., Virgilio, E., Vitetta, F., Vollaro, S., Zaffaroni, M., Zampolini, M., Zarbo, I. R., Zito, A., Zuliani, L., Lucchini M. (ORCID:0000-0002-0447-2297), and Mirabella M. (ORCID:0000-0002-7783-114X)

Abstract

Background: The MuSC-19 project is an Italian cohort study open to international partners that collects data on multiple sclerosis (MS) patients with COVID-19. During the second wave of the pandemic, serological tests became routinely available. Objective: To evaluate the seroprevalence of anti-SARS-CoV-2 antibodies according to the use of disease-modifying therapy (DMT) in a subset of patients included in the MuSC-19 data set who had undergone a serological test. Methods: We evaluated the association between positive serological test results and time elapsed since infection onset, age, sex, Expanded Disability Status Scale score, comorbidities and DMT exposure using a multivariable logistic model. Results: Data were collected from 423 patients (345 from Italy, 61 from Turkey and 17 from Brazil) with a serological test performed during follow-up. Overall, 325 out of 423 tested patients (76.8%) had a positive serological test. At multivariate analysis, therapy with anti-CD20 was significantly associated with a reduced probability of developing antibodies after COVID-19 (odds ratio (OR) = 0.20, p = 0.002). Conclusion: Patients with MS maintain the capacity to develop humoral immune response against SARS-COV-2, although to a lesser extent when treated with anti-CD20 drugs. Overall, our results are reassuring with respect to the possibility to achieve sufficient immunization with vaccination.

Published
2022

14. Accuracy of the clinical diagnosis of dementia with Lewy bodies (DLB) among the Italian Dementia Centers: a study by the Italian DLB study group (DLB-SINdem)

Author

Russo, M., Carrarini, Claudia, Di Iorio, A., Pellegrino, R., Bruni, A. C., Caratozzolo, S., Chiari, A., Pretta, S., Marra, Camillo, Cotelli, M. S., Arighi, A., Fumagalli, G. G., Cataruzza, T., Caso, F., Paci, C., Rosso, M., Amici, S., Giannandrea, D., Pilotto, A., Luzzi, S., Castellano, A., D'Antonio, F., Luca, A., Gelosa, G., Piccoli, T., Mauri, M., Agosta, F., Babiloni, C., Borroni, B., Bozzali, M., Filippi, M., Galimberti, D., Monastero, R., Muscio, C., Parnetti, L., Perani, D., Serra, L., Silani, V., Tiraboschi, P., Cagnin, A., Padovani, A., Bonanni, L., Roberta, B., Federica, F., Sebastiano, G., Caterina, G., Gianmarco, G., Giuseppe, M., Giulia, M., Stefano, M., Carmela, R., Marco, R., Pierpaolo, S., Giuseppe, S. P., Marinella, T., Federico, V., Antonietta, V. M., Carrarini C., Marra C. (ORCID:0000-0003-3994-4044), Russo, M., Carrarini, Claudia, Di Iorio, A., Pellegrino, R., Bruni, A. C., Caratozzolo, S., Chiari, A., Pretta, S., Marra, Camillo, Cotelli, M. S., Arighi, A., Fumagalli, G. G., Cataruzza, T., Caso, F., Paci, C., Rosso, M., Amici, S., Giannandrea, D., Pilotto, A., Luzzi, S., Castellano, A., D'Antonio, F., Luca, A., Gelosa, G., Piccoli, T., Mauri, M., Agosta, F., Babiloni, C., Borroni, B., Bozzali, M., Filippi, M., Galimberti, D., Monastero, R., Muscio, C., Parnetti, L., Perani, D., Serra, L., Silani, V., Tiraboschi, P., Cagnin, A., Padovani, A., Bonanni, L., Roberta, B., Federica, F., Sebastiano, G., Caterina, G., Gianmarco, G., Giuseppe, M., Giulia, M., Stefano, M., Carmela, R., Marco, R., Pierpaolo, S., Giuseppe, S. P., Marinella, T., Federico, V., Antonietta, V. M., Carrarini C., and Marra C. (ORCID:0000-0003-3994-4044)

Abstract

Introduction: Dementia with Lewy bodies (DLB) may represent a diagnostic challenge, since its clinical picture overlaps with other dementia. Two toolkits have been developed to aid the clinician to diagnose DLB: the Lewy Body Composite Risk Score (LBCRS) and the Assessment Toolkit for DLB (AT-DLB). We aim to evaluate the reliability of these two questionnaires, and their ability to enhance the interpretation of the international consensus diagnostic criteria. Methods: LBCRS and AT-DLB were distributed to 135 Italian Neurological Centers for Cognitive Decline and Dementia (CDCDs), with the indication to administer them to all patients with dementia referred within the subsequent 3 months. We asked to subsequently apply consensus criteria for DLB diagnosis, to validate the diagnostic accuracy of the two toolkits. Results: A total of 23 Centers joined the study; 1854 patients were enrolled. We found a prevalence of possible or probable DLB of 13% each (26% total), according to the consensus criteria. LBCRS toolkit showed good reliability, with a Cronbach alpha of 0.77, stable even after removing variables from the construct. AT-DLB toolkit Cronbach alpha was 0.52 and, after the subtraction of the “cognitive fluctuation” criterion, was only 0.31. Accuracy, sensitivity, and specificity were higher for LBCRS vs. AT-DLB. However, when simultaneously considered in the logistic models, AT-DLB showed a better performance (p < 0.001). Overall, the concordance between LBCRS positive and AT-DLB possible/probable was of 78.02% Conclusions: In a clinical setting, the LBCRS and AT-DLB questionnaires have good accuracy for DLB diagnosis.

Published
2022

19. White Matter Hyperintensities Are No Major Confounder for Alzheimer's Disease Cerebrospinal Fluid Biomarkers

Author

Van Waalwijk Van Doorn, L. J. C., Ghafoorian, M., Van Leijsen, E. M. C., Claassen, J. A. H. R., Arighi, A., Bozzali, M., Cannas, J., Cavedo, E., Eusebi, P., Farotti, L., Fenoglio, C., Fortea, J., Frisoni, G. B., Galimberti, D., Greco, V., Herukka, S. -K., Liu, Y., Lleo, A., De Mendonca, A., Nobili, F. M., Parnetti, L., Picco, A., Pikkarainen, M., Salvadori, N., Scarpini, E., Soininen, H., Tarducci, R., Urbani, A., Vilaplana, E., Meulenbroek, O., Platel, B., Verbeek, M. M., Kuiperij, H. B., and Martins, R.

Subjects
Male, 0301 basic medicine, Pathology, Alzheimer`s disease Donders Center for Medical Neuroscience [Radboudumc 1], tau proteins, 0302 clinical medicine, Cerebrospinal fluid, Leukoencephalopathies, Image Processing, Computer-Assisted, magnetic resonance imaging, Phosphorylation, medicine.diagnostic_test, biology, General Neuroscience, amyloid, Confounding Factors, Epidemiologic, General Medicine, Middle Aged, Alzheimer's disease, white matter hyperintensities, Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3], Psychiatry and Mental health, Clinical Psychology, Brain size, Alzheimer’s disease, biomarkers, cerebrospinal fluid, white matter lesions, Female, Research Article, medicine.medical_specialty, Tau protein, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, Neuroimaging, Alzheimer Disease, mental disorders, medicine, Humans, Cognitive Dysfunction, Memory disorder, Settore BIO/10 - BIOCHIMICA, Aged, Amyloid beta-Peptides, business.industry, Magnetic resonance imaging, medicine.disease, Peptide Fragments, Hyperintensity, 030104 developmental biology, biology.protein, Geriatrics and Gerontology, business, 030217 neurology & neurosurgery
Abstract

Altres ajuts: Additionally, this work was funded by the CIBERNED program (Program 1, Alzheimer Disease), FondoEuropeo de Desarrollo Regional (FEDER), Unión Europea, "Una manera de hacer Europa" and a "Marató TV3" grant (grant number: 201412.10). The cerebrospinal fluid (CSF) biomarkers amyloid-β 1-42 (Aβ), total and phosphorylated tau (t-tau, p-tau) are increasingly used to assist in the clinical diagnosis of Alzheimer's disease (AD). However, CSF biomarker levels can be affected by confounding factors. To investigate the association of white matter hyperintensities (WMHs) present in the brain with AD CSF biomarker levels. We included CSF biomarker and magnetic resonance imaging (MRI) data of 172 subjects (52 controls, 72 mild cognitive impairment (MCI), and 48 AD patients) from 9 European Memory Clinics. A computer aided detection system for standardized automated segmentation of WMHs was used on MRI scans to determine WMH volumes. Association of WMH volume with AD CSF biomarkers was determined using linear regression analysis. A small, negative association of CSF Aβ, but not p -tau and t -tau, levels with WMH volume was observed in the AD (r 2 = 0.084, p = 0.046), but not the MCI and control groups, which was slightly increased when including the distance of WMHs to the ventricles in the analysis (r 2 = 0.105, p = 0.025). Three global patterns of WMH distribution, either with 1) a low, 2) a peak close to the ventricles, or 3) a high, broadly-distributed WMH volume could be observed in brains of subjects in each diagnostic group. Despite an association of WMH volume with CSF Aβ levels in AD patients, the occurrence of WMHs is not accompanied by excess release of cellular proteins in the CSF, suggesting that WMHs are no major confounder for AD CSF biomarker assessment.

Published
2021

20. Diagnostic Validity of the Smart Aging Serious Game: An Innovative Tool for Digital Phenotyping of Mild Neurocognitive Disorder

Author

Isernia, Sara, Cabinio, M., Di Tella, Sonia, Pazzi, S., Vannetti, F., Gerli, F., Mosca, I. E., Lombardi, G., Macchi, C., Sorbi, S., Baglio, F., and Bozzali, M.

Subjects
Male, medicine.medical_specialty, Aging, digital medicine, serious games, Settore M-PSI/02 - PSICOBIOLOGIA E PSICOLOGIA FISIOLOGICA, Trail Making Test, Audiology, Neuropsychological Tests, Sensitivity and Specificity, mild cognitive impairment, Vascular, medicine, Dementia, Humans, Cognitive Dysfunction, Neuropsychological assessment, vascular cognitive impairment, Aged, Receiver operating characteristic, medicine.diagnostic_test, business.industry, General Neuroscience, mild neurocognitive disorder, Dementia, Vascular, Neuropsychology, Montreal Cognitive Assessment, telemonitoring, Cognition, General Medicine, medicine.disease, Mental Status and Dementia Tests, Psychiatry and Mental health, Clinical Psychology, neuropsychological assessment, Phenotype, virtual reality, Female, Geriatrics and Gerontology, business, Neurocognitive
Abstract

Background: The Smart Aging Serious Game (SASG) is an ecologically-based digital platform used in mild neurocognitive disorders. Considering the higher risk of developing dementia for mild cognitive impairment (MCI) and vascular cognitive impairment (VCI), their digital phenotyping is crucial. A new understanding of MCI and VCI aided by digital phenotyping with SASG will challenge current differential diagnosis and open the perspective of tailoring more personalized interventions. Objective: To confirm the validity of SASG in detecting MCI from healthy controls (HC) and to evaluate its diagnostic validity in differentiating between VCI and HC. Methods: 161 subjects (74 HC: 37 males, 75.47±2.66 mean age; 60 MCI: 26 males, 74.20±5.02; 27 VCI: 13 males, 74.22±3.43) underwent a SASG session and a neuropsychological assessment (Montreal Cognitive Assessment (MoCA), Free and Cued Selective Reminding Test, Trail Making Test). A multi-modal statistical approach was used: receiver operating characteristic (ROC) curves comparison, random forest (RF), and logistic regression (LR) analysis. Results: SASG well captured the specific cognitive profiles of MCI and VCI, in line with the standard neuropsychological measures. ROC analyses revealed high diagnostic sensitivity and specificity of SASG and MoCA (AUCs > 0.800) in detecting VCI versus HC and MCI versus HC conditions. An acceptable to excellent classification accuracy was found for MCI and VCI (HC versus VCI; RF: 90%, LR: 91%. HC versus MCI; RF: 75%; LR: 87%). Conclusion: SASG allows the early assessment of cognitive impairment through ecological tasks and potentially in a self-administered way. These features make this platform suitable for being considered a useful digital phenotyping tool, allowing a non-invasive and valid neuropsychological evaluation, with evident implications for future digital-health trails and rehabilitation.

Published
2021

21. White Matter Hyperintensities Are No Major Confounder for Alzheimer's Disease Cerebrospinal Fluid Biomarkers

Author

Waalwijk van Doorn, Linda J. C. van, Ghafoorian, M., Leijsen, E.M.C. van, Claassen, J.A.H.R., Arighi, A., Bozzali, M., Verbeek, M.M., Kuiperij, H.B., Waalwijk van Doorn, Linda J. C. van, Ghafoorian, M., Leijsen, E.M.C. van, Claassen, J.A.H.R., Arighi, A., Bozzali, M., Verbeek, M.M., and Kuiperij, H.B.

Abstract

Contains fulltext : 230119.pdf (Publisher’s version ) (Open Access)

Published
2021

22. Ventral tegmental area disconnection contributes two years early to correctly classify patients converted to alzheimer's disease: Implications for treatment

Author

Serra, L., D'Amelio, M., Esposito, S., Di Domenico, C., Koch, G., Marra, Camillo, Mercuri, N. B., Caltagirone, C., Artusi, C. A., Lopiano, L., Cercignani, M., Bozzali, M., Marra C. (ORCID:0000-0003-3994-4044), Serra, L., D'Amelio, M., Esposito, S., Di Domenico, C., Koch, G., Marra, Camillo, Mercuri, N. B., Caltagirone, C., Artusi, C. A., Lopiano, L., Cercignani, M., Bozzali, M., and Marra C. (ORCID:0000-0003-3994-4044)

Abstract

Background: Recent cross-sectional studies highlighted the loss of dopaminergic neurons in the ventral tegmental area (VTA) as an early pathophysiological event in Alzheimer's disease (AD). Objective: In this study, we longitudinally investigated by resting-state fMRI (rs-fMRI) a cohort of patients with mild cognitive impairment (MCI) due to AD to evaluate the impact of VTA disconnection in predicting the conversion to AD. Methods: A cohort of 35 patients with MCI due to AD were recruited and followed-up for 24 months. They underwent cognitive evaluation and rs-fMRI to assess VTA connectivity at baseline and at follow-up. Results: At 24-month follow-up, 16 out of 35 patients converted to AD. Although converters and non-converters to AD did not differ in demographic and behavioral characteristics at baseline, the first group showed a significant reduction of VTA-driven connectivity in the posterior cingulate and precentral cortex. This pattern of additional disconnection in MCI-Converters compared to non-converters remained substantially unchanged at 24-month follow-up. Conclusion: This study reinforces the hypothesis of an early contribution of dopaminergic dysfunction to AD evolution by targeting the default-mode network. These results have potential implications for AD staging and prognosis and support new opportunities for therapeutic interventions to slow down disease progression.

Published
2021

23. Lesion distribution and substrate of white matter damage in myotonic dystrophy type 1: Comparison with multiple sclerosis

Author

Leddy, S., Serra, L., Esposito, D., Vizzotto, C., Giulietti, G., Silvestri, Gabriella, Petrucci, A., Meola, G., Lopiano, L., Cercignani, M., Bozzali, M., Silvestri G. (ORCID:0000-0002-1950-1468), Leddy, S., Serra, L., Esposito, D., Vizzotto, C., Giulietti, G., Silvestri, Gabriella, Petrucci, A., Meola, G., Lopiano, L., Cercignani, M., Bozzali, M., and Silvestri G. (ORCID:0000-0002-1950-1468)

Abstract

Myotonic Dystrophy type 1 (DM1) is an autosomal dominant condition caused by expansion of the CTG triplet repeats within the myotonic dystrophy protein of the kinase (DMPK) gene. The central nervous system is involved in the disease, with multiple symptoms including cognitive impairment. A typical feature of DM1 is the presence of widespread white matter (WM) lesions, whose total volume is associated with CTG triplet expansion. The aim of this study was to characterize the distribution and pathological substrate of these lesions as well as the normal appearing WM (NAWM) using quantitative magnetization transfer (qMT) MRI, and comparing data from DM1 patients with those from patients with multiple sclerosis (MS). Twenty-eight patients with DM1, 29 patients with relapsing-remitting MS, and 15 healthy controls had an MRI scan, including conventional and qMT imaging. The average pool size ratio (F), a proxy of myelination, was computed within lesions and NAWM for every participant. The lesion masks were warped into MNI space and lesion probability maps were obtained for each patient group. The lesion distribution, total lesion load and the tissue-specific mean F were compared between groups. The supratentorial distribution of lesions was similar in the 2 patient groups, although mean lesion volume was higher in MS than DM1. DM1 presented higher prevalence of anterior temporal lobe lesions, but none in the cerebellum and brainstem. Significantly reduced F values were found within DM1 lesions, suggesting a loss of myelin density. While F was reduced in the NAWM of MS patients, it did not differ between DM1 and controls. Our results provide further evidence for a need to compare histology and imaging using new MRI techniques in DM1 patients, in order to further our understanding of the underlying disease process contributing to WM disease.

Published
2021

25. Early diagnosis of Alzheimer’s disease: The role of biomarkers including advanced EEG signal analysis. An I.F.C.N.-sponsored panel of Experts

Author

Rossini, Paolo M., Di Iorio, Riccardo, Vecchio, Francesco, Anfossi, M, Babiloni, Claudio, Bozzali, M, Bruni, A.C., Cappa, S.F., Escudero, Javier, Fraga, F.J., Giannakopoulos, P., Guntekin, Bahar, Logroscino, Giancarlo, Marra, C, Miraglia, F, Panza, F, Tecchio, F, Pascual-Leone, Alvaro, and Dubois, B.

Abstract

Alzheimer’s disease (AD) is the most common neurodegenerative disease among the elderly with a progressive decline in cognitive function significantly affecting quality of life. Both the prevalence and emotional and financial burdens of AD on patients, their families, and society are predicted to grow significantly in the near future, due to a prolongation of the lifespan. Several lines of evidence suggest that modifications of risk-enhancing life styles and initiation of pharmacological and non-pharmacological treatments in the early stage of disease, although not able to modify its course, helps to maintain personal autonomy in daily activities and significantly reduces the total costs of disease management. Moreover, many clinical trials with potentially disease-modifying drugs are devoted to prodromal stages of AD. Thus, the identification of markers of conversion from prodromal form to clinically AD may be crucial for developing strategies of early interventions. The current available markers, including volumetric MRI, PET, and CSF analysis are expensive, poorly available in community health facilities, and relatively invasive. Taking into account its low cost, widespread availability and non-invasiveness, EEG would represent a candidate for tracking the prodromal phases of cognitive decline in routine clinical settings eventually in combination with other markers. After providing a short overview of the epidemiology and markers in AD, this review aimed to explore whether advanced analysis of EEG rhythms exploring brain function has sufficient specificity/sensitivity/accuracy to screen out the risk of conversion from Mild cognitive Impairment (MCI, a condition which is prodromal to AD in a high percentage of cases) to AD as a first-level screening method.

Published
2020

26. Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts

Author

Rossini, Paolo Maria, Di Iorio, Riccardo, Vecchio, F., Anfossi, Maria, Babiloni, C., Bozzali, M., Bruni, Amalia Cecilia, Cappa, Stefano F., Escudero, Julien, Fraga, Francisco Jose, Giannakopoulos, Panteleimon, Güntekin, Bahar, Logroscino, Giancarlo, Marra, Camillo, Miraglia, F., Panza, Francesco, Tecchio, F., Pascual-Leone, Alvaro, and Dubois, Bruno

Subjects
Mild Cognitive Impairment, EEG Analysis, Early Diagnosis, AD Biomarkers, EEG Rhythms, Dementia, Event-Related Responses, Alzheimer's Disease
Abstract

Alzheimer's disease (AD) is the most common neurodegenerative disease among the elderly with a progressive decline in cognitive function significantly affecting quality of life. Both the prevalence and emotional and financial burdens of AD on patients, their families, and society are predicted to grow significantly in the near future, due to a prolongation of the lifespan. Several lines of evidence suggest that modifications of risk-enhancing life styles and initiation of pharmacological and nonpharmacological treatments in the early stage of disease, although not able to modify its course, helps to maintain personal autonomy in daily activities and significantly reduces the total costs of disease management. Moreover, many clinical trials with potentially disease-modifying drugs are devoted to prodromal stages of AD. Thus, the identification of markers of conversion from prodromal form to clinically AD may be crucial for developing strategies of early interventions. The current available markers, including volumetric magnetic resonance imaging (MRI), positron emission tomography (PET), and cerebral spinal fluid (CSF) analysis are expensive, poorly available in community health facilities, and relatively invasive. Taking into account its low cost, widespread availability and non-invasiveness, electroencephalography (EEG) would represent a candidate for tracking the prodromal phases of cognitive decline in routine clinical settings eventually in combination with other markers. In this scenario, the present paper provides an overview of epidemiology, genetic risk factors, neuropsychological, fluid and neuroimaging biomarkers in AD and describes the potential role of EEG in AD investigation, trying in particular to point out whether advanced analysis of EEG rhythms exploring brain function has sufficient specificity/sensitiv ity/accuracy for the early diagnosis of AD. H2020 Marie S. Curie ITN-ETN project Turkish Academy of Sciences (TUBA), Turkey, The Young Scientists Award Programme (GEBIP) Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)

Published
2020

27. Behavioral psychological symptoms of dementia and functional connectivity changes: a network-based study

Author

Serra, L., Bruschini, M., Di Domenico, C., Mancini, M., Bechi Gabrielli, G., Bonarota, S., Caltagirone, C., Cercignani, M., Marra, Camillo, Bozzali, M., Marra C. (ORCID:0000-0003-3994-4044), Serra, L., Bruschini, M., Di Domenico, C., Mancini, M., Bechi Gabrielli, G., Bonarota, S., Caltagirone, C., Cercignani, M., Marra, Camillo, Bozzali, M., and Marra C. (ORCID:0000-0003-3994-4044)

Abstract

Behavioral and psychological symptoms of dementia (BPSD) are commonly observed since the early stage of Alzheimer's disease (AD) associated with structural brain changes. It is conceivable that they may also relate to functional brain changes. This resting-state functional MRI (RS-fMRI) study investigated the alterations within functional brain networks of a cohort of AD patients at different clinical stages who presented with BPSD. One hundred one AD patients and 56 patients with amnestic mild cognitive impairment underwent a neuropsychological evaluation including the Neuropsychiatry Inventory-12 (NPI-12). All patients and 35 healthy controls (HS) underwent 3T-MRI. Factor analysis was used to extract the principal factors from NPI-12, while RS-fMRI data were processed using graph theory to investigate functional connectivity. Five factors were extracted from NPI-12. Sixty-two percent of patients showed BPSD and functional brain connectivity changes in various networks compared to those without BPSD and HS. These changes contributed to account for patients' BPSD. This work opens new perspectives in terms of nonpharmacological interventions that might be designed to modulate brain connectivity and improve patients' BPSD.

Published
2020

28. Ventral tegmental area dysfunction affects decision-making in patients with myotonic dystrophy type-1

Author

Serra, L., Scocchia, M., Meola, G., D'Amelio, M., Bruschini, M., Silvestri, Gabriella, Petrucci, A., Di Domenico, C., Caltagirone, C., Koch, G., Cercignani, M., Petrosini, L., Bozzali, M., Silvestri G. (ORCID:0000-0002-1950-1468), Serra, L., Scocchia, M., Meola, G., D'Amelio, M., Bruschini, M., Silvestri, Gabriella, Petrucci, A., Di Domenico, C., Caltagirone, C., Koch, G., Cercignani, M., Petrosini, L., Bozzali, M., and Silvestri G. (ORCID:0000-0002-1950-1468)

Abstract

The clinical manifestations of Myotonic Dystrophy type-1 (DM1) are associated with a complex mixture of multisystem features including cognitive dysfunctions that strongly impact on patients' social and occupational functioning. Decision making, a function controlled by dopaminergic circuitry, is critical for succeeding in one's social and professional life. We tested here the hypothesis that altered connectivity of the ventral tegmental area (VTA), one of the major sources of diffuse dopaminergic projections in the brain, might account for some higher-level dysfunctions observed in patients with DM1. In this case–control study, we recruited 31 patients with DM1 and 26 healthy controls who underwent the IOWA Gambling task and resting-state functional MRI (RS-fMRI) at 3T. Functional connectivity of the VTA was assessed using RS-fMRI. VTA connectivity was compared between 25 DM1 patients and all the controls, and the presence of associations between VTA connectivity and IOWA Gambling task performance was also investigated. DM1 patients performed significantly worse than controls at the IOWA Gambling task. A significant increase of functional connectivity was observed between VTA and the left supramarginal and superior temporal gyri in DM1 patients. Patients' IOWA Gambling task net-scores were strictly associated with VTA-driven functional connectivity in the bilateral supplementary motor area and right precentral gyrus. This study demonstrates a prominent deficit of decision-making in patients with DM1. It might be related to increased connectivity between VTA and brain areas critically involved in the reward/punishment system and social cognition. These findings indicate that dopaminergic function is a potential target for pharmacological and non-pharmacological interventions in DM1.

Published
2020

29. Cerebellar dentate nucleus functional connectivity with cerebral cortex in Alzheimer's disease and memory: a seed-based approach

Author

Olivito, G., Serra, L., Marra, C., Di Domenico, C., Caltagirone, C., Toniolo, S., Cercignani, M., Leggio, M., Bozzali, M., Marra C. (ORCID:0000-0003-3994-4044), Olivito, G., Serra, L., Marra, C., Di Domenico, C., Caltagirone, C., Toniolo, S., Cercignani, M., Leggio, M., Bozzali, M., and Marra C. (ORCID:0000-0003-3994-4044)

Abstract

Alzheimer's disease (AD) is a chronic neurodegenerative disorder characterized by specific patterns of gray and white matter damage and cognitive/behavioral manifestations. The cerebellum has also been implicated in the pathophysiology of AD. Because the cerebellum is known to have strong functional connectivity (FC) with associative cerebral cortex regions, it is possible to hypothesize that it is incorporated into intrinsic FC networks relevant to cognitive manifestation of AD. In the present study, the cerebellar dentate nucleus, the largest cerebellar nucleus and the major output channel to the cerebral cortex, was chosen as the region of interest to test potential cerebellocerebral FC alterations and correlations with patients' memory impairment in a group of patients with AD. Compared to controls, patients with AD showed an increase in FC between the dentate nucleus and regions of the lateral temporal lobe. This study demonstrates that lower memory performances in AD may be related to altered FC within specific cerebellocortical functional modules, thus suggesting the cerebellar contribution to AD pathophysiology and typical memory dysfunctions.

Published
2020

30. Cerebellar White Matter Disruption in Alzheimer's Disease Patients: A Diffusion Tensor Imaging Study

Author

Toniolo, S., Serra, L., Olivito, G., Caltagirone, C., Mercuri, N. B., Marra, Camillo, Cercignani, M., Bozzali, M., Marra C. (ORCID:0000-0003-3994-4044), Toniolo, S., Serra, L., Olivito, G., Caltagirone, C., Mercuri, N. B., Marra, Camillo, Cercignani, M., Bozzali, M., and Marra C. (ORCID:0000-0003-3994-4044)

Abstract

The cognitive role of the cerebellum has recently gained much attention, and its pivotal role in Alzheimer's disease (AD) has now been widely recognized. Diffusion tensor imaging (DTI) has been used to evaluate the disruption of the microstructural milieu in AD, and though several white matter (WM) tracts such as corpus callosum, inferior and superior longitudinal fasciculus, cingulum, fornix, and uncinate fasciculus have been evaluated in AD, data on cerebellar WM tracts are currently lacking. We performed a tractography-based DTI reconstruction of the middle cerebellar peduncle (MCP), and the left and right superior cerebellar peduncles separately (SCPL and SCPR) and addressed the differences in fractional anisotropy (FA), axial diffusivity (Dax), radial diffusivity (RD), and mean diffusivity (MD) in the three tracts between 50 patients with AD and 25 healthy subjects. We found that AD patients showed a lower FA and a higher RD compared to healthy subjects in MCP, SCPL, and SCPR. Moreover, higher MD was found in SCPR and SCPL and higher Dax in SCPL. This result is important as it challenges the traditional view that WM bundles in the cerebellum are unaffected in AD and might identify new targets for therapeutic interventions.

Published
2020

31. Cerebello-Cortical Alterations Linked to Cognitive and Social Problems in Patients With Spastic Paraplegia Type 7: A Preliminary Study

Author

Lupo, M., Olivito, G., Clausi, S., Siciliano, L., Riso, Vittorio, Bozzali, M., Santorelli, F. M., Silvestri, Gabriella, Leggio, M., Riso V., Silvestri G. (ORCID:0000-0002-1950-1468), Lupo, M., Olivito, G., Clausi, S., Siciliano, L., Riso, Vittorio, Bozzali, M., Santorelli, F. M., Silvestri, Gabriella, Leggio, M., Riso V., and Silvestri G. (ORCID:0000-0002-1950-1468)

Abstract

Spastic paraplegia type 7 (SPG7), which represents one of the most common forms of autosomal recessive spastic paraplegia (MIM#607259), often manifests with a complicated phenotype, characterized by progressive spastic ataxia with evidence of cerebellar atrophy on brain MRI. Recent studies have documented the presence of peculiar dentate nucleus hyperintensities on T2-weighted images and frontal executive dysfunction in neuropsychological tests in SPG7 patients. Therefore, we decided to assess whether any particular MRI pattern might be specifically associated with SPG7 mutations and possibly correlated with patients' cognitive profiles. For this purpose, we evaluated six SPG7 patients, studying the cerebello-cortical network by MRI voxel-based morphometry and functional connectivity techniques, compared to 30 healthy control subjects. In parallel, we investigated the cognitive and social functioning of the SPG7 patients. Our results document specific cognitive alterations in language, verbal memory, and executive function in addition to an impairment of social task and emotional functions. The MRI scans showed a diffuse symmetric reduction in the cerebellar gray matter of the right lobule V, right Crus I, and bilateral lobule VI, together with a cerebral gray matter reduction in the lingual gyrus, precuneus, thalamus, and superior frontal gyrus. The evidence of an over-connectivity pattern between both the right and left cerebellar dentate nuclei and specific cerebral regions (the lateral occipital cortex, precuneus, left supramarginal gyrus, and left superior parietal lobule) confirms the presence of cerebello-cortical dysregulation in different networks involved in cognition and social functioning in SPG7 patients.

Published
2020

32. Abnormal Cortical Thickness Is Associated With Deficits in Social Cognition in Patients With Myotonic Dystrophy Type 1

Author

Serra, L., Bianchi, G., Bruschini, M., Giulietti, G., Domenico, C. D., Bonarota, S., Petrucci, A., Silvestri, Gabriella, Perna, Alessia, Meola, G., Caltagirone, C., Bozzali, M., Silvestri G. (ORCID:0000-0002-1950-1468), Perna A., Serra, L., Bianchi, G., Bruschini, M., Giulietti, G., Domenico, C. D., Bonarota, S., Petrucci, A., Silvestri, Gabriella, Perna, Alessia, Meola, G., Caltagirone, C., Bozzali, M., Silvestri G. (ORCID:0000-0002-1950-1468), and Perna A.

Abstract

Aim: To investigate the cortical thickness in myotonic dystrophy type 1 (DM1) and its potential association with patients' genetic triplet expansion and social cognition deficits. Methods: Thirty patients with DM1 underwent the Social Cognition Battery Test and magnetic resonance imaging (MRI) scanning at 3 T. Twenty-five healthy subjects (HSs) were enrolled in the study to serve as a control group for structural MRI data. To assess changes in cortical thickness in DM1 patients, they were compared to HSs using a t-test model. Correlations were used to assess potential associations between genetic and clinical characteristics and social cognition performances in the patient group. Additionally, multiple regression models were used to explore associations between cortical thickness, CTG triplet expansion size, and scores obtained by DM1 patients on the Social Cognition Battery. Results: DM1 patients showed low performances in several subtests of the Social Cognition Battery. Specifically, they obtained pathological scores at Emotion Attribution Test (i.e., Sadness, Embarrassment, Happiness, and Anger) and at the Social Situations Test (i.e., recognition of normal situation, recognition of aberrant behavior). Significant negative correlations were found between CTG triplet expansion size and Embarrassment, and Severity of Aberrant Behavior. Similarly, a negative correlation was found between patients' MIRS scores and Sadness. DM1 patients compared to HSs showed reduced thickness in the right premotor cortex, angular gyrus, precuneus, and inferior parietal lobule. Significant associations were found between patients' CTG triplet expansion size and thickness in left postcentral gyrus and in the left primary somatosensory cortex, in the posterior cingulate cortex bilaterally, and in the right lingual gyrus. Finally, significant associations were found between cortical thickness and sadness in the superior temporal gyrus, the right precentral gyrus, the right angular gyrus

Published
2020

35. White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging. (Paper)

Author

Bozzali, M., Falini, A., Franceschi, M., Cercignani, M., Zuffi, M., Scotti, G., Comi, G., and Filippi, M.

Subjects
Brain -- Physiological aspects, Brain damage -- Physiological aspects, Magnetic resonance imaging -- Physiological aspects, Alzheimer's disease -- Physiological aspects, Health, Psychology and mental health, Physiological aspects
Abstract

Objective: To investigate the extent and the nature of white matter tissue damage of patients with Alzheimer's disease using diffusion tensor magnetic resonance imaging (DT-MRI). Background: Although Alzheimer's disease pathology [...]

Published
2002

42. Shared vulnerability for connectome alterations across psychiatric and neurological brain disorders

Author

de Lange SC, Scholtens LH, Alzheimer’s Disease Neuroimaging Initiative, van den Berg LH, Boks MP, Bozzali M, Cahn W, Dannlowski U, Durston S, Geuze E, van Haren NEM, Hillegers MHJ, Koch K, Jurado MA, Mancini M, Marqués-Iturria I, Meinert S, Ophoff RA, Reess TJ, Repple J, Kahn RS, and van den Heuvel MP

Subjects
Behavioral Neuroscience, Social Psychology, Journal Article, Experimental and Cognitive Psychology
Abstract

Macroscale white matter pathways are the infrastructure for large-scale communication in the human brain and a prerequisite for healthy brain function. Disruptions in the brain's connectivity architecture play an important role in many psychiatric and neurological brain disorders. Here we show that connections important for global communication and network integration are particularly vulnerable to brain alterations across multiple brain disorders. We report on a cross-disorder connectome study comprising in total 1,033 patients and 1,154 matched controls across 8 psychiatric and 4 neurological disorders. We extracted disorder connectome fingerprints for each of these 12 disorders and combined them into a 'cross-disorder disconnectivity involvement map' describing the level of cross-disorder involvement of each white matter pathway of the human brain network. Network analysis revealed connections central to global network communication and integration to display high disturbance across disorders, suggesting a general cross-disorder involvement and the importance of these pathways in normal function.

Published
2019

43. Extra-neurite Perfusion Measurement with Combined Arterial Spin Labeling and Diffusion Weighted MRI

Author

Asllani, I., Petr, J., Mutsaerts, H.-J., Bozzali, M., and Cercignani, M.

Subjects
fMRI CONTRAST MECHANISMS, Data analysis, Cerebral Blood Flow, MRI
Abstract

Introduction: Arterial Spin Labeling (ASL) is an MRI method that uses magnetically labeled endogenous water as a tracer for measuring cerebral perfusion in vivo1. The arterial water that is usually 'labeled' at a plane positioned at the base of the brain, perpendicular to the carotids. A post-labeling delay (PLD) is introduced prior to acquisition to allow labeled water to cross the vasculature and perfuse into the tissue1. Because of signal decay due to T1 relaxation, fast acquisition schemes are employed to ensure optimal SNR. Consequently, the spatial resolution of ASL is relatively low (~ 3 x 3 x 6 mm3). As such, the measured blood flow from a given voxel reflects a mixture of signals from gray matter (GM), white matter (WM), and CSF, a phenomenon known as partial voluming (PV)2. To correct for the confounding effects of PV in ASL imaging, an algorithm (PVC) has been developed and already used by several studies2,3. The algorithm is based on GM and WM volume data obtained from the segmentation of the T1w image2, and makes no further distinction between different compartments within the same tissue type. Here, we investigated the potential of PVC ASL to map blood perfusion in the extra-neurite compartment (e.g., soma, glial cells4) and the intra-neurite (comprised of axons and axon terminals4) within the same tissue, independently. We applied the PVC algorithm using compartmental data from a diffusion weighted imaging (DWI) model, referred to as NODDI4. The underlying hypothesis was that the blood flow in the extra- and intra-neurite compartments would vary with the PLD; a short PLD acquisition would increase the flow in the extra-neurite compartment compared to the long PLD for which there should be an increased flow in the intra-neurite compartment instead. Methods: Theory At any given voxel, the blood flow (fT) is given as: fT=VFIn•fIn+VFEn•fEn+VFIso•fIs where, VFIn, VFEn, VFIso represent respectively: the intra-neurite, extra-neurite, and non-tissue compartments obtained from NODDI4. By assuming that for each compartment blood flow is constant over a 'kernel', the equation can be re-written in vectorial form to reflect the flow at the voxel in the center of the kernel2, from which then each compartmental flow can be computed using linear regression as detailed in Asllani et al.2.. MRI protocol & image analysis T1w (MPRAGE), NODDI, and ASL MRI images were obtained on 4 healthy participants (mean age = 44.5 ± 7.4 y, 2 men) a Siemens 3T system. To test the hypothesis that a shorter PLD would increase the signal in the extra-neurite GM compartment, ASL was acquired with a short (200ms) and long PLD (1800ms). Only results from voxels with GM content > 80% are presented. Results: Fig.1 shows the raw images that were used by the PVC algorithm to extract the flow from each compartment within the GM. For the long-PLD acquisition, average CBF in the extra- and intra-neurite compartments was 76 ± 10 mL/100g*min and 59 ± 8 mL/100g*min, respectively. As hypothesized, for the short-PLD, the CBF signal was contained primarily in the extra-neurite department (118 ± 17 mL/100g*min) with the intra-neurite compartment flow being essentially zero (-0.9 ± 0.6 mL/100g*min). Results from one participant are shown in Fig.2. Supporting Image: Fig1.jpg ·Fig.1: ‘Raw’ NODDI and ASL images used by the PVC algorithm from one subject. Top row: MPRAGE and VFIn images; middle row: VFEn and VFISO; bottom row: CBF for short PLD (left) and long PLD (right). Supporting Image: Fig2.jpg ·Fig.2: Top: Extra-neurite GM CBF from short (left) & long (right) PLD acquisitions. Bottom: axial and sagittal views of Intra-neurite CBF for long PLD with areas in blue indicating ~zero signal. Conclusions: We combined NODDI with PVC ASL MRI to distinguish between blood flow in the extra- and intra-neurite compartments within GM. While these initial results look promising, more work is needed to test the sensitivity of this method and its feasibility for clinical applications. For example, a larger PLD range is needed to test whether the method can be used to detect inter-neurite subcortical flow. If successful, this method could prove invaluable in mapping blood flow with high spatial specificity.

Published
2019

48. Non-linear spelling in writing after a pure cerebellar lesion

Author

Lupo, M., Siciliano, L., Olivito, G., Masciullo, M., Bozzali, M., Molinari, M., Cercignani, M., Silveri, Maria Caterina, Leggio, M., Silveri M. C. (ORCID:0000-0001-5012-0682), Lupo, M., Siciliano, L., Olivito, G., Masciullo, M., Bozzali, M., Molinari, M., Cercignani, M., Silveri, Maria Caterina, Leggio, M., and Silveri M. C. (ORCID:0000-0001-5012-0682)

Abstract

The most common deficits in processing written language result from damage to the graphemic buffer system and refer to semantic and lexical problems or difficulties in phoneme-graphene conversion. However, a writing disorder that has not yet been studied in depth is the non-linear spelling phenomenon. Indeed, although some cases have been described, no report has exhaustively explained the cognitive mechanism and the anatomical substrates underlying this process. In the present study, we analyzed the modality of non-linear writing in a patient affected by a focal cerebellar lesion, who presented with an alteration of the normal trend to write the order of the letters. Based on this evidence, we analyzed the functional connectivity between the cerebellum and the brain network that subtends handwriting and demonstrated how the cerebellar lesion of the patient affected the connections between the cerebellum and cortical areas that support the anatomical system of writing. This is the first report of non-linear spelling in a patient with a lesion outside the fronto-parietal network, specifically with a focal cerebellar lesion. We propose that non-linear writing can be interpreted in view of the role of the cerebellum in timing and sequential processing. Thus, considering the current functional connectivity data, we hypothesize that the cerebellum might be relevant in the mechanism that allows the correct activation timing of letters within a string and placement of the letters in a specific sequential writing order.

Published
2019

50. Cognitive reserve and cognitive performance of patients with focal frontal lesions

Author

Macphersona, Se, Healy, C, Allerhanda, M, Spano, B, Tudor-Sfetea, C, White, M, Smirnif, D, Shalliceg, T, Chan, E, Bozzali, M, Cipolotti, L, Macpherson, S, Healy, C, Allerhan, M, Spanò, B, Sfetea, C, White, M, Smirni, D, Shallice, T, Chan, E, Bozzali, M, and Cipolotti, L

Subjects
education, Behavioral Neuroscience, Cognitive reserve, Frontal lesions, Education, Literacy attainment, Cognitive performance, Age, age, Settore M-PSI/02 - Psicobiologia E Psicologia Fisiologica, RC0346, Cognitive Neuroscience, Experimental and Cognitive Psychology, literacy attainment, cognitive reserve, cognitive performance, frontal lesions
Abstract

The Cognitive reserve (CR) hypothesis was put forward to account for the variability in cognitive performance of patients with similar degrees of brain pathology. Compensatory neural activity within the frontal lobes has often been associated with CR. For the first time we investigated the independent effects of two CR proxies, education and NART IQ, on measures of executive function, fluid intelligence, speed of information processing, verbal short term memory (vSTM), naming, and perception in a sample of 86 patients with focal, unilateral frontal lesions and 142 healthy controls. We fitted multiple linear regression models for each of the cognitive measures and found that only NART IQ predicted executive and naming performance. Neither education nor NART IQ predicted performance on fluid intelligence, processing speed, vSTM or perceptual abilities. Education and NART IQ did not modify the effect of lesion severity on cognitive impairment. We also found that age significantly predicted performance on executive tests and the majority of our other cognitive measures, except vSTM and GNT. Age was the only predictor for fluid intelligence. This latter finding suggests that age plays a role in executive performance over and above the contribution of CR proxies in patients with focal frontal lesions. Overall, our results suggest that the CR proxies do not appear to modify the relationship between cognitive impairment and frontal lesions.

Published
2017

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