541 results on '"Bozzali M"'
Search Results
2. Early diagnosis of Alzheimer’s disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts
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Rossini, P.M., Di Iorio, R., Vecchio, F., Anfossi, M., Babiloni, C., Bozzali, M., Bruni, A.C., Cappa, S.F., Escudero, J., Fraga, F.J., Giannakopoulos, P., Guntekin, B., Logroscino, G., Marra, C., Miraglia, F., Panza, F., Tecchio, F., Pascual-Leone, A., and Dubois, B.
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- 2020
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3. Functional Changes of Mentalizing Network in SCA2 Patients: Novel Insights into Understanding the Social Cerebellum
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Olivito, Giusy, Siciliano, L., Clausi, S., Lupo, M., Romano, S., Masciullo, M., Molinari, M., Cercignani, M., Bozzali, M., and Leggio, M.
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- 2020
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4. Age-related changes in brain deactivation but not in activation after motor learning
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Berghuis, K.M.M., Fagioli, S., Maurits, N.M., Zijdewind, I., Marsman, J.B.C., Hortobágyi, T., Koch, G., and Bozzali, M.
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- 2019
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5. Anisotropic Anomalous Diffusion assessed in the human brain by scalar invariant indices
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De Santis, S., Gabrielli, A., Bozzali, M., Maraviglia, B., Macaluso, E., and Capuani, S.
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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
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- 2010
6. The γ-parameter of anomalous diffusion quantified in human brain by MRI depends on local magnetic susceptibility differences
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Caporale, A., Palombo, M., Macaluso, E., Guerreri, M., Bozzali, M., and Capuani, S.
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- 2017
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7. Using diffusion tensor imaging to detect cortical changes in fronto-temporal dementia subtypes
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Torso, M., Bozzali, M., Cercignani, M., Jenkinson, M., and Chance, S. A.
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- 2020
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8. Structural cerebellar correlates of cognitive functions in spinocerebellar ataxia type 2
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Olivito, G., Lupo, M., Iacobacci, C., Clausi, S., Romano, S., Masciullo, M., Molinari, M., Cercignani, M., Bozzali, M., and Leggio, M.
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- 2018
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9. Signs and symptoms of COVID-19 in patients with multiple sclerosis
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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.
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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.
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- 2022
10. The Italian dementia with Lewy bodies study group (DLB-SINdem): toward a standardization of clinical procedures and multicenter cohort studies design
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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
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- 2017
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11. 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)
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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., Russo, Mirella, Carrarini, Claudia, Di Iorio, Angelo, Pellegrino, Raffaello, Bruni, Amalia Cecilia, Caratozzolo, Salvatore, Chiari, Annalisa, Pretta, Stefano, Marra, Camillo, Cotelli, Maria Sofia, Arighi, Andrea, Fumagalli, Giorgio G, Cataruzza, Tatiana, Caso, Francesca, Paci, Cristina, Rosso, Mara, Amici, Serena, Giannandrea, David, Pilotto, Andrea, Luzzi, Simona, Castellano, Annalisa, D'Antonio, Fabrizia, Luca, Antonina, Gelosa, Giorgio, Piccoli, Tommaso, Mauri, Marco, Agosta, Federica, Babiloni, Claudio, Borroni, Barbara, Bozzali, Marco, Filippi, Massimo, Galimberti, Daniela, Monastero, Roberto, Muscio, Cristina, Parnetti, Lucilla, Perani, Daniela, Serra, Laura, Silani, Vincenzo, Tiraboschi, Pietro, Cagnin, Annachiara, Padovani, Alessandro, Bonanni, Laura, and D'antonio, Fabrizia
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Lewy Body Disease ,Clinical diagnosi ,Dementia with Lewy bodie ,Consensus criteria ,Dementia with Lewy bodies ,Dermatology ,behavioral disciplines and activities ,Diagnostic accuracy ,Diagnosis, Differential ,Alzheimer Disease ,Diagnosis ,mental disorders ,Humans ,Reproducibility of Results ,Diagnostic toolkit ,General Medicine ,Clinical diagnosis ,Cognitive impairment ,Dementia ,Diagnostic toolkits ,nervous system diseases ,Settore MED/26 - NEUROLOGIA ,Psychiatry and Mental health ,Italy ,Differential ,Neurology (clinical) - 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 3months. 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
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- 2022
12. Influence of controlled encoding and retrieval facilitation on memory performance in patients with different profiles of mild cognitive impairment
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Perri, Roberta, Monaco, Marco, Fadda, Lucia, Serra, Laura, Marra, Camillo, Caltagirone, Carlo, Bruni, Amalia C., Curcio, Sabrina, Bozzali, M., and Carlesimo, Giovanni A.
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- 2015
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13. Prospective memory in thalamic amnesia
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Carlesimo, G.A., Costa, A., Serra, L., Bozzali, M., Fadda, L., and Caltagirone, C.
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- 2011
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14. Single domain amnestic MCI: A multiple cognitive domains fMRI investigation
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Lenzi, D., Serra, L., Perri, R., Pantano, P., Lenzi, G.L., Paulesu, E., Caltagirone, C., Bozzali, M., and Macaluso, E.
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- 2011
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15. Boronophenylalanine uptake in C6 glioma model is dramatically increased by l-DOPA preloading
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Capuani, S., Gili, T., Bozzali, M., Russo, S., Porcari, P., Cametti, C., Muolo, M., D’Amore, E., Maraviglia, B., Lazzarino, G., and Pastore, F.S.
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- 2009
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16. White Matter Hyperintensities Are No Major Confounder for Alzheimer's Disease Cerebrospinal Fluid Biomarkers
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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.
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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.
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- 2021
17. Diagnostic Validity of the Smart Aging Serious Game: An Innovative Tool for Digital Phenotyping of Mild Neurocognitive Disorder
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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.
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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.
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- 2021
18. A 12 years clinical follow-up of two PINK1 families: Motor, cognitive and psychiatric features: 167
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Ricciardi, L., Guidubaldi, A., Petrucci, S., Serra, L., Ialongo, T., Spanò, B., Bozzali, M., Valenti, E. M., and Bentivoglio, A. R.
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- 2014
19. Early diagnosis of Alzheimer’s disease: The role of biomarkers including advanced EEG signal analysis. An I.F.C.N.-sponsored panel of Experts
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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.
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- 2020
20. Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts
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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
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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)
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- 2020
21. Bilateral damage to the mammillo-thalamic tract impairs recollection but not familiarity in the recognition process: A single case investigation
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Carlesimo, G.A., Serra, L., Fadda, L., Cherubini, A., Bozzali, M., and Caltagirone, C.
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- 2007
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22. Intra-voxel and inter-voxel coherence in patients with multiple sclerosis assessed using diffusion tensor MRI
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Cercignani, M., Bozzali, M., Iannucci, G., Comi, G., and Filippi, M.
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- 2002
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23. White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging. (Paper)
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Bozzali, M., Falini, A., Franceschi, M., Cercignani, M., Zuffi, M., Scotti, G., Comi, G., and Filippi, M.
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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 [...]
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- 2002
24. Magnetic Resonance Imaging in Alzheimerʼs Disease: from Diagnosis to Monitoring Treatment Effect
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Filippi, M., Agosta, F., Frisoni, G. B., De Stefano, N., Bizzi, A., Bozzali, M., Falini, A., Rocca, M. A., Sorbi, S., Caltagirone, C., and Tedeschi, G.
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- 2012
25. White Matter Damage Along the Uncinate Fasciculus Contributes to Cognitive Decline in AD and DLB
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Serra, L., Cercignani, M., Basile, B., Spanò, B., Perri, R., Fadda, L., Marra, C., Giubilei, F., Caltagirone, C., and Bozzali, M.
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- 2012
26. Anisotropic Anomalous Diffusion Assessed in the Human Brain by Scalar Invariant Indices
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De Santis, S., Gabrielli, A., Bozzali, M., Maraviglia, B., Macaluso, E., and Capuani, S.
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- 2011
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27. Regional brain atrophy and functional disconnection across Alzheimerʼs disease evolution
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Gili, T, Cercignani, M, Serra, L, Perri, R, Giove, F, Maraviglia, B, Caltagirone, C, and Bozzali, M
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- 2011
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28. P280 Combined proton and sodium MRI to study short-term effects of transcranial direct current stimulation of M1
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Di Lorenzo, F., primary, Orzsik, B., additional, Strawson, W., additional, Gialopsou, K., additional, Bozzali, M., additional, Asllani, I., additional, and Cercignani, M., additional
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- 2020
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29. Reduced oxygen due to high-altitude exposure relates to atrophy in motor-function brain areas
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Paola, M. D., Bozzali, M., Fadda, L., Musicco, M., Sabatini, U., and Caltagirone, C.
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- 2008
30. Shared vulnerability for connectome alterations across psychiatric and neurological brain disorders
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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
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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.
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- 2019
31. Extra-neurite Perfusion Measurement with Combined Arterial Spin Labeling and Diffusion Weighted MRI
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Asllani, I., Petr, J., Mutsaerts, H.-J., Bozzali, M., and Cercignani, M.
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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.
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- 2019
32. Relationship between grey matter brain abnormalities
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Menghini, D., Federico, F., di Paola, M., Bozzali, M., Petrosini, L., Caltagirone, C., and Vicari, S.
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- 2007
33. Left prefrontal cortex control of novel occurrences during recollection: A psychopharmacological study using scopolamine and event-related fMRI
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Bozzali, M., MacPherson, S. E., Dolan, R. J., and Shallice, T.
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- 2006
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34. A whole brain MR spectroscopy study from patients with Alzheimerʼs disease and mild cognitive impairment
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Falini, A., Bozzali, M., Magnani, G., Pero, G., Gambini, A., Benedetti, B., Mossini, R., Franceschi, M., Comi, G., Scotti, G., and Filippi, M.
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- 2005
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35. Brain tissue damage in dementia with Lewy bodies: an in vivo diffusion tensor MRI study
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Bozzali, M., Falini, A., Cercignani, M., Baglio, F., Farina, E., Alberoni, M., Vezzulli, P., Olivotto, F., Mantovani, F., Shallice, T., Scotti, G., Canal, N., and Nemni, R.
- Published
- 2005
36. Evidence for widespread axonal damage at the earliest clinical stage of multiple sclerosis
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Filippi, M., Bozzali, M., Rovaris, M., Gonen, O., Kesavadas, C., Ghezzi, A., Martinelli, V., Grossman, R. I., Scotti, G., Comi, G., and Falini, A.
- Published
- 2003
37. Cognitive reserve and cognitive performance of patients with focal frontal lesions
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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.
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- 2017
38. The Italian dementia with Lewy bodies study group (DLB-SINdem): toward a standardization of clinical procedures and multicenter cohort studies design
- Author
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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., On behalf of DLB SINdem study group, Null, 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, Giuseppe, 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., Bonanni, L, Cagnin, A, Agosta, F, Babiloni, C, Borroni, B, Bozzali, M, Bruni, A, 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, Arighi, A, Avanzi, S, Bagella, C, 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, Cappa, A, Capra, C, Carapelle, E, Caratozzolo, S, Carbone, G, Cattaruzza, T, Cerami, C, Cester, A, Cheldi, A, Cherchi, R, Chiari, A, Cirafisi, C, Colao, R, Confaloni, A, Conti, M, Costa, A, Costa, B, Cotelli, M, Cova, I, Cravello, L, Cumbo, E, Cupidi, C, de Togni, L, Del Din, G, Del Re, M, Dentizzi, C, Di Lorenzo, F, Di Stefano, F, Dikova, N, Farina, E, Floris, G, Foti, A, Franceschi, M, Fumagalli, G, Gabelli, C, Ghidoni, E, Giannandrea, D, Giordana, M, Giorelli, M, Giubilei, F, Grimaldi, L, Grimaldi, R, Guglielmi, V, Lanari, A, Le Pira, F, Letteri, F, Levi Minzi, G, Lorusso, S, Ludovico, L, Luzzi, S, Maggiore, L, Magnani, G, Mancini, G, Manconi, F, Manfredi, L, Maniscalco, M, Marano, P, Marcon, M, Marcone, A, Marra, C, Martorana, A, Mascia, M, 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, F, 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, Rolma, G, Rozzini, L, Sacco, L, Saibene, F, 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, Trebbastoni, A, Tremolizzo, L, Tripi, G, Ursini, F, Vaianella, L, Valluzzi, F, Vezzadini, G, Vista, M, Volontè, M, Bruni, Ac, DLB-SINdem study, Group, Bruni, AC, and Padovani, A - On behalf of DLB-SINdem study group
- Subjects
Lewy Body Disease ,medicine.medical_specialty ,Pediatrics ,Dementia with Lewy bodie ,Dementia with Lewy bodies ,Dermatology ,Cohort Studies ,Diagnosis, Differential ,03 medical and health sciences ,0302 clinical medicine ,Quality of life ,Alzheimer Disease ,Surveys and Questionnaires ,mental disorders ,Standardization of diagnostic procedures ,Diagnosis ,Survey ,Disease Management ,Humans ,Italy ,Research Design ,2708 ,Neurology (clinical) ,Psychiatry and Mental Health ,medicine ,Dementia ,030212 general & internal medicine ,MED/01 - STATISTICA MEDICA ,MED/26 - NEUROLOGIA ,business.industry ,Standardization of diagnostic procedure ,General Medicine ,medicine.disease ,Settore MED/26 - NEUROLOGIA ,Cohort ,Differential ,Physical therapy ,Delirium ,Alzheimer's disease ,medicine.symptom ,business ,030217 neurology & neurosurgery ,Frontotemporal dementia ,Cohort study - Abstract
Dementia with Lewy bodies (DLB) causes elevated outlays for the National Health Systems due to high institutionalization rate and patients' reduced quality of life and high mortality. Furthermore, DLB is often misdiagnosed as Alzheimer's disease. These data motivate harmonized multicenter longitudinal cohort studies to improve clinical management and therapy monitoring. The Italian DLB study group of the Italian Neurological Society for dementia (SINdem) developed and emailed a semi-structured questionnaire to 572 national dementia centers (from primary to tertiary) to prepare an Italian large longitudinal cohort. The questionnaire surveyed: (1) prevalence and incidence of DLB; (2) clinical assessment; (3) relevance and availability of diagnostic tools; (4) pharmacological management of cognitive, motor, and behavioural disturbances; (5) causes of hospitalization, with specific focus on delirium and its treatment. Overall, 135 centers (23.6 %) contributed to the survey. Overall, 5624 patients with DLB are currently followed by the 135 centers in a year (2042 of them are new patients). The percentage of DLB patients was lower (27 ± 8 %) than that of Alzheimer's disease and frontotemporal dementia (56 ± 27 %) patients. The majority of the centers (91 %) considered the clinical and neuropsychological assessments as the most relevant procedure for a DLB diagnosis. Nonetheless, most of the centers has availability of magnetic resonance imaging (MRI; 95 %), electroencephalography (EEG; 93 %), and FP-CIT single photon emission-computerized tomography (SPECT; 75 %) scan for clinical applications. It will be, therefore, possible to recruit a large harmonized Italian cohort of DLB patients for future cross-sectional and longitudinal multicenter studies.
- Published
- 2017
39. Magnetisation transfer ratio and mean diffusivity of normal appearing white and grey matter from patients with multiple sclerosis
- Author
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Cercignani, M, Bozzali, M, Iannucci, G, Comi, G, and Filippi, M
- Published
- 2001
40. Changes in the normal appearing brain tissue and cognitive impairment in multiple sclerosis
- Author
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Filippi, M, Tortorella, C, Rovaris, M, Bozzali, M, Possa, F, Sormani, M P, Iannucci, G, and Comi, G
- Published
- 2000
41. Cerebellar white matter disruption in AD patients: a Diffusion Tensor Imaging study
- Author
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Toniolo, S, Serra, L, Olivito, G, Cercignani, M, and Bozzali, M
- Published
- 2018
42. 22. Multicentric test-retest reproducibility of human hippocampal volumes with FreeSurfer 6.0: A comparison between standard and longitudinal hippocampal subfields segmentation streams applied to 3D T1, 3D FLAIR and high-resolution 2D T2 neuroimaging
- Author
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Chiappiniello, A., primary, Tarducci, R., additional, Muscio, C., additional, Frisoni, G.B., additional, Bruzzone, M.G., additional, Bozzali, M., additional, Perani, D., additional, Tiraboschi, P., additional, Nigri, A., additional, Ambrosi, C., additional, Caulo, M., additional, Chipi, E., additional, Chiti, S., additional, Fainardi, E., additional, Ferraro, S., additional, Festari, C., additional, Gasparotti, R., additional, Ginestroni, A., additional, Giulietti, G., additional, Mascaro, L., additional, Navarra, R., additional, Nicolosi, V., additional, Parnetti, L., additional, Rosazza, C., additional, Serra, L., additional, Tagliavini, F., additional, and Jovicich, J., additional
- Published
- 2018
- Full Text
- View/download PDF
43. The Doors and People Test: The Effect of Frontal Lobe Lesions on Recall and Recognition Memory Performance
- Author
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Macpherson, S., Turner, M., Bozzali, M., Shallice, T., CIPOLOTTI, Lisa, Macpherson, S., Turner, M., Bozzali, M., Cipolotti, L., and Shallice, T.
- Subjects
Adult ,Male ,frontal lobes ,recall ,Recognition (Psychology) ,Neuropsychological Tests ,recognition memory ,behavioral disciplines and activities ,Brain Neoplasm ,Arts and Humanities (miscellaneous) ,Memory ,Humans ,Memory Disorders ,Settore M-PSI/02 - Psicobiologia E Psicologia Fisiologica ,Brain Neoplasms ,Recognition, Psychology ,Articles ,episodic memory ,Middle Aged ,Frontal Lobe ,Neuropsychology and Physiological Psychology ,Mental Recall ,Visual Perception ,Neuropsychological Test ,Female ,Episodic memory ,Frontal lobes ,Recall ,Recognition ,Psychomotor Performance ,recognition ,Human ,Memory Disorder - Abstract
Objective: Memory deficits in patients with frontal lobe lesions are most apparent on free recall tasks that require the selection, initiation, and implementation of retrieval strategies. The effect of frontal lesions on recognition memory performance is less clear with some studies reporting recognition memory impairments but others not. The majority of these studies do not directly compare recall and recognition within the same group of frontal patients, assessing only recall or recognition memory performance. Other studies that do compare recall and recognition in the same frontal group do not consider recall or recognition tests that are comparable for difficulty. Recognition memory impairments may not be reported because recognition memory tasks are less demanding. Method: This study aimed to investigate recall and recognition impairments in the same group of 47 frontal patients and 78 healthy controls. The Doors and People Test was administered as a neuropsychological test of memory as it assesses both verbal and visual recall and recognition using subtests that are matched for difficulty. Results: Significant verbal and visual recall and recognition impairments were found in the frontal patients. Conclusion: These results demonstrate that when frontal patients are assessed on recall and recognition memory tests of comparable difficulty, memory impairments are found on both types of episodic memory test.
- Published
- 2016
44. Strategy and suppression impairments after right lateral prefrontal and orbito-frontal lesions
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Cipolotti, L, Healy, C, Spano, B, Lecce, F, Biondo, F, Robinson, G, Chan, E, Duncan, J, Shallice, T, Bozzali, M, Cipolotti, L., Healy, C., Spanò, B., Lecce, F., Biondo, F., Robinson, G., Chan, E., Duncan, J., Shallice, T., and Bozzali, M.
- Subjects
Right lateral frontal lesions, orbito-frontal lesions - Published
- 2015
45. Microstructural MRI Basis of the Cognitive Functions in Patients with Spinocerebellar Ataxia Type 2
- Author
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Olivito, G., primary, Lupo, M., additional, Iacobacci, C., additional, Clausi, S., additional, Romano, S., additional, Masciullo, M., additional, Molinari, M., additional, Cercignani, M., additional, Bozzali, M., additional, and Leggio, M., additional
- Published
- 2017
- Full Text
- View/download PDF
46. Do aetiology, age and cogntive reserve affect executive performance?
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Cipolotti, L., primary, Healy, C., additional, Spanò, B., additional, White, M., additional, Shallice, T., additional, Bozzali, M., additional, Chan, E., additional, Macpherson, S., additional, Smirni, D., additional, Tudor-Sfetea, C., additional, and Allerhand, M., additional
- Published
- 2017
- Full Text
- View/download PDF
47. Inhibition processes are dissociable and lateralized in human prefrontal cortex
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Cipolotti, L., primary, Spano, B., additional, Healy, C., additional, Tudor-Sfetea, C., additional, Chan, E., additional, White, M., additional, Biondo, F., additional, Duncan, J., additional, Shallice, T., additional, and Bozzali, M., additional
- Published
- 2017
- Full Text
- View/download PDF
48. Neural substrates of motor and cognitive dysfunctions in SCA2 patients: A network based statistics analysis
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Olivito, G., primary, Cercignani, M., additional, Lupo, M., additional, Iacobacci, C., additional, Clausi, S., additional, Romano, S., additional, Masciullo, M., additional, Molinari, M., additional, Bozzali, M., additional, and Leggio, M., additional
- Published
- 2017
- Full Text
- View/download PDF
49. The differing roles of the frontal cortex in fluency tests
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Robinson, G, Shallice, T, Bozzali, M, CIPOLOTTI, Lisa, Robinson, G, Shallice, T, Bozzali, M, and Cipolotti, L
- Subjects
Settore M-PSI/02 - Psicobiologia E Psicologia Fisiologica ,Frontal cortex - Published
- 2012
50. Magnetic resonance imaging in Alzheimer's disease: from diagnosis to monitoring treatment effect
- Author
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Filippi M, Agosta F, Frisoni GB, De Stefano N, Bizzi A, Bozzali M, Falini A, Rocca MA, Sorbi S, Caltagirone C, TEDESCHI, Gioacchino, Filippi, M, Agosta, F, Frisoni, Gb, De Stefano, N, Bizzi, A, Bozzali, M, Falini, A, Rocca, Ma, Sorbi, S, Caltagirone, C, and Tedeschi, Gioacchino
- Published
- 2012
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