Montreal Cognitive Assessment (MoCA)-Italian version: regression based norms and equivalent scores
Abstract
The Montreal Cognitive Assessment (MoCA) is a brief cognitive screening instrument developed by Nasreddine et al. to detect mild cognitive impairment, a high-risk condition for Alzheimer's disease and other forms of dementia. In this study we report normative data on the MoCA-Italian version, collected on a sample of 225 Italian healthy subjects ranged in age between 60 and 80 years, and in formal education from 5 to 23 years. The global normal cognition was established in accordance with the Mini-Mental State Examination score and with the Prose Memory Test score (Spinnler and Tognoni, Ital J Neurol Sci 6:25-27, 1987). None of the participants had a history of psychiatric, neurological, cerebrovascular disorders or brain injury or took drugs affecting cognition. Linear regression analysis was performed to evaluate the potential effect of age, education and sex on the MoCA total performance score. We provide correction grids to adjust raw scores and equivalent scores with cut-off value to allow comparison between MoCA performance and others neuropsychological test scores that can be administered on the same subject.
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The Italian version of the MoCA was administered for assessing the absence of mild cognitive impairment.
“The Italian version of the MoCA was administered for assessing the absence of mild cognitive impairment [34].”
From A conversational artificial intelligence agent for a mental health care app: Evaluation study of its participatory design (2021) · cites this paper as [34]
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment
Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J. L., & Chertkow, H. (2005) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2005.53221.x · Cited by 25,553 · see citing works
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781 · see citing works
Carlesimo, G. A., Caltagirone, C., Gainotti, G., Fadda, L., Gallassi, R., Lorusso, S., Marfia, G. A., Marra, C., Nocentini, U., & Parnetti, L. (2008) · European Neurology · doi:10.1159/000117297 · Cited by 1,234 · see citing works
Theoretical Perspectives on Cognitive Aging
Salthouse, T. A. (2016) · Psychology Press eBooks · doi:10.4324/9781315785363 · Cited by 947 · see citing works
Determination of Sample Sizes for Setting Tolerance Limits
Wilks, S. S. (1941) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177731788 · Cited by 864 · see citing works
The mini‐mental state examination: Normative study of an Italian random sample
Measso, G., Cavarzeran, F., Zappalà, G., Lebowitz, B. D., Crook, T. H., Pirozzolo, F. J., Amaducci, L. A., Massari, D. C., & Grigoletto, F. (1993) · Developmental Neuropsychology · doi:10.1080/87565649109540545 · Cited by 817 · see citing works
Normative data for the Montreal Cognitive Assessment (MoCA) in a population-based sample
Rossetti, H. C., Lacritz, L. H., Cullum, C. M., & Weiner, M. (2011) · Neurology · doi:10.1212/wnl.0b013e318230208a · Cited by 805 · see citing works
The Frontal Assessment Battery (FAB): normative values in an Italian population sample
Appollonio, I. M., Leone, M. E., Isella, V., Piamarta, F., Consoli, T., Villa, M. L., Forapani, E., Russo, A., & Nichelli, P. (2005) · Neurological Sciences · doi:10.1007/s10072-005-0443-4 · Cited by 674 · see citing works
Montreal Cognitive Assessment (MoCA): Normative study for the Portuguese population
Freitas, S., Simões, M. R., Alves, L., & Santana, I. J. (2011) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2011.589374 · Cited by 327 · see citing works
Longitudinal course and neuropathologic outcomes in original vs revised MCI and in pre-MCI
Storandt, M., Grant, E., Miller, J. P., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000228231.26111.6e · Cited by 285 · see citing works
Rabin, L. A., Paré, N., Saykin, A. J., Brown, M. J., Wishart, H. A., Flashman, L. A., & Santulli, R. B. (2009) · Aging, Neuropsychology, and Cognition · doi:10.1080/13825580902825220 · Cited by 256 · see citing works
Roberts, J. L., Clare, L., & Woods, B. T. (2009) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000234911 · Cited by 220 · see citing works
Normative data for the Montreal Cognitive Assessment (MoCA) in a population-based sample
Nasreddine, Z. S., Rossetti, H., Phillips, N. D., Chertkow, H. M., Lacritz, L., Cullum, C. M., & Weiner, M. (2012) · Neurology · doi:10.1212/01.wnl.0000413072.54070.a3 · Cited by 142 · see citing works
Theoretical Perspectives on Cognitive Aging
Light, L. L., & Salthouse, T. A. (1993) · The American Journal of Psychology · doi:10.2307/1422973 · Cited by 142 · see citing works
Narazaki, K., Nofuji, Y., Honda, T., Matsuo, E., Yonemoto, K., & Kumagai, S. (2012) · Neuroepidemiology · doi:10.1159/000339753 · Cited by 125 · see citing works
Lenehan, M. E., Klekociuk, S. Z., & Summers, M. J. (2012) · International Psychogeriatrics · doi:10.1017/s1041610212000695 · Cited by 119 · see citing works
Purser, J. L., Fillenbaum, G. G., & Wallace, R. B. (2006) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2005.00589.x · Cited by 103 · see citing works
The psychometric differentiation of dementia from normal aging: A meta-analysis.
Christensen, H. M., Hadži-Pavlović, D., & Jacomb, P. A. (1991) · Psychological Assessment · doi:10.1037/1040-3590.3.2.147 · Cited by 102 · see citing works
Free and cued selective reminding test: an Italian normative study
Frasson, P., Ghiretti, R., Catricalà, E., Pomati, S., Marcone, A., Parisi, L., Rossini, P. M., Cappa, S. F., Mariani, C., Vanacore, N., et al. (2011) · Neurological Sciences · doi:10.1007/s10072-011-0607-3 · Cited by 100 · see citing works
Normative Data and Neuropsychological Assessment. Common Problems in Clinical Practice and Research
Capitani, E. (1997) · Neuropsychological Rehabilitation · doi:10.1080/713755543 · Cited by 85 · see citing works
Baek, M. J., Kim, H. J., & Kim, S. (2012) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2011.645020 · Cited by 41 · see citing works
Comparison of verbal memory impairment rates in mild cognitive impairment
Tremont, G. N., Miele, A. S., Smith, M., & Westervelt, H. J. (2010) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390903401328 · Cited by 32 · see citing works
Complicanze psico-cognitive dell'ictus
Micieli, G., Bottini, G., Cerri, C., Consoli, D., Cavallini, M., Sette, M. D., Bari, M. D., Piero, V. D., Gandolfo, C., Guidetti, D., et al. (2007) · BOA (University of Milano-Bicocca) · Cited by 3 · see citing works
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1 of the 25 references couldn’t be matched to a known paper.
Cited by
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Weıntraub, S., Besser, L. M., Dodge, H. H., Teylan, M., Ferris, S. H., Goldstein, F. C., Giordani, B., Kramer, J. H., Loewenstein, D., Marson, D., et al. (2017) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000223 · Cited by 677 · see citing works
Montreal Cognitive Assessment (MoCA): Concept and Clinical Review
Julayanont, P., & Nasreddine, Z. S. (2016) · Springer eBooks · doi:10.1007/978-3-319-44775-9_7 · Cited by 215 · see citing works
The Montreal Cognitive Assessment: Normative Data from a Large Swedish Population-Based Cohort
Borland, E., Nägga, K., Nilsson, P. M., Minthon, L., Nilsson, E. D., & Palmqvist, S. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170203 · Cited by 205 · see citing works
Beltrami, D., Gagliardi, G., Rossini Favretti, R., Ghidoni, E., Tamburini, F., & Calzà, L. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00369 · Cited by 175 · see citing works
Montreal Cognitive Assessment (MoCA): Concept and Clinical Review
Julayanont, P., Phillips, N. A., Chertkow, H. M., & Nasreddine, Z. S. (2012) · Springer eBooks · doi:10.1007/978-1-4471-2452-8_6 · Cited by 181 · see citing works
Normative Data for the Montreal Cognitive Assessment in Middle-Aged and Elderly Quebec-French People
Larouche, E., Tremblay, M., Potvin, O., Laforest, S., Bergeron, D., Laforce, R. J., Monetta, L., Boucher, L., Tremblay, P., Belleville, S., et al. (2016) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acw076 · Cited by 150 · see citing works
Thomann, A. E., Goettel, N., Monsch, R. J., Berres, M., Jähn, T., Steiner, L. A., & Monsch, A. U. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180080 · Cited by 137 · see citing works
Sample Size Requirements for Traditional and Regression-Based Norms
Oosterhuis, H. E. M., van der Ark, L. A., & Sijtsma, K. (2015) · Assessment · doi:10.1177/1073191115580638 · Cited by 129 · see citing works
Aiello, E. N., Gramegna, C., Esposito, A., Gazzaniga, V., Zago, S., Difonzo, T., Maddaluno, O., Appollonio, I. M., & Bolognini, N. (2021) · Aging Clinical and Experimental Research · doi:10.1007/s40520-021-01943-7 · Cited by 118 · see citing works
Identification of sixteen novel candidate genes for late onset Parkinson’s disease
Gialluisi, A., Reccia, M. G., Modugno, N., Nutile, T., Lombardi, A., Giovannantonio, L. G. D., Pietracupa, S., Ruggiero, D., Scala, S., Gambardella, S., et al. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00455-2 · Cited by 99 · see citing works
Isernia, S., Tella, S. D., Pagliari, C., Jonsdottir, J., Castiglioni, C., Gindri, P., Salza, M., Gramigna, C., Palumbo, G., Molteni, F., et al. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00846 · Cited by 98 · see citing works
Realdon, O., Rossetto, F., Nalin, M., Baroni, I., Cabinio, M., Fioravanti, R., Saibene, F. L., Alberoni, M., Mantovani, F., Romano, M. T., et al. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-1132-y · Cited by 92 · see citing works
Linguistic features and automatic classifiers for identifying mild cognitive impairment and dementia
Calzà, L., Gagliardi, G., Favretti, R. R., & Tamburini, F. (2020) · Computer Speech & Language · doi:10.1016/j.csl.2020.101113 · Cited by 97 · see citing works
Masala, C., Solla, P., Liscia, A. M., Defazio, G., Saba, L., Cannas, A., Cavazzana, A., Hummel, T. R., & Haehner, A. (2018) · Journal of Neurology · doi:10.1007/s00415-018-8913-9 · Cited by 87 · see citing works
Danieli, M., Ciulli, T., Mousavi, S. M., Silvestri, G., Barbato, S., Natale, L. D., & Riccardi, G. (2022) · JMIR Mental Health · doi:10.2196/38067 · Cited by 84 · see citing works
Bosco, A., Spano, G., Caffò, A. O., Lopez, A., Grattagliano, I., Saracino, G., Pinto, K., Hoogeveen, F. R., & Lancioni, G. E. (2017) · Aging Clinical and Experimental Research · doi:10.1007/s40520-017-0727-6 · Cited by 84 · see citing works
Pierobon, A., Bottelli, E. S., Ranzini, L., Bruschi, C., Maestri, R., Bertolotti, G., Sommaruga, M., Torlaschi, V., Callegari, S., & Giardini, A. (2017) · International Journal of COPD · doi:10.2147/copd.s133586 · Cited by 82 · see citing works
Konstantopoulos, K., Vogazianos, P., & Doskas, T. K. (2016) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acw002 · Cited by 78 · see citing works
Poptsi, E., Μoraitou, D., Eleftheriou, M., Kounti, F., Papasozomenou, C., Agogiatou, C., Bakoglidou, E., Batsila, G., Liapi, D., Markou, N., et al. (2019) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988719853046 · Cited by 77 · see citing works
Isernia, S., Pagliari, C., Jonsdottir, J., Castiglioni, C., Gindri, P., Gramigna, C., Palumbo, G., Salza, M., Molteni, F., Baglio, F., et al. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.01206 · Cited by 78 · see citing works
Pagliari, C., Tella, S. D., Jonsdottir, J., Mendozzi, L., Rovaris, M., Icco, R. D., Milanesi, T., Federico, S., Agostini, M., Goffredo, M., et al. (2021) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x211054839 · Cited by 73 · see citing works
Tessitore, A., Giordano, A., Micco, R. D., Caiazzo, G., Russo, A., Cirillo, M., Esposito, F., & Tedeschi, G. (2016) · Movement Disorders · doi:10.1002/mds.26650 · Cited by 70 · see citing works
Danieli, M., Ciulli, T., Mousavi, S. M., & Riccardi, G. (2021) · JMIR Formative Research · doi:10.2196/30053 · Cited by 64 · see citing works
“The Italian version of the MoCA was administered for assessing the absence of mild cognitive impairment [34].”
Ultra-sensitive detection of protein biomarkers for diagnosis of Alzheimer’s disease
Chan, H., Xu, D., Ho, S., Wong, M. S., & Li, H. (2017) · Chemical Science · doi:10.1039/c6sc05615f · Cited by 65 · see citing works
Recent Advances in Neuropsychological Test Interpretation for Clinical Practice
Kiselica, A. M., Karr, J. E., Mikula, C. M., Ranum, R. M., Benge, J. F., Medina, L. D., & Woods, S. P. (2023) · Neuropsychology Review · doi:10.1007/s11065-023-09596-1 · Cited by 64 · see citing works
Aiello, E. N., Esposito, A., Gramegna, C., Gazzaniga, V., Zago, S., Difonzo, T., Appollonio, I. M., & Bolognini, N. (2021) · Neurological Sciences · doi:10.1007/s10072-021-05392-y · Cited by 60 · see citing works
Complexity in neuropsychological assessments of cognitive impairment: A network analysis approach
Tosi, G., Borsani, C., Castiglioni, S., Daini, R., Franceschi, M., & Romano, D. (2019) · Cortex · doi:10.1016/j.cortex.2019.11.004 · Cited by 60 · see citing works
Pragmatic Language Disorder in Parkinson’s Disease and the Potential Effect of Cognitive Reserve
Montemurro, S., Mondini, S., Signorini, M., Marchetto, A., Bambini, V., & Arcara, G. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01220 · Cited by 61 · see citing works
Montreal cognitive assessment (MoCA)
Gonçalves, J. M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815034-4.15005-6 · Cited by 57 · see citing works
Pasi, M., Salvadori, E., Poggesi, A., Ciolli, L., Bene, A. D., Marini, S., Nannucci, S., Pescini, F., Valenti, R., Ginestroni, A., et al. (2014) · Stroke · doi:10.1161/strokeaha.114.007553 · Cited by 57 · see citing works
Facial expressions recognition and discrimination in Parkinson’s disease
Mattavelli, G. C., Barvas, E., Longo, C., Zappini, F., Ottaviani, D., Malaguti, M. C., Pellegrini, M. A., & Papagno, C. (2020) · Journal of Neuropsychology · doi:10.1111/jnp.12209 · Cited by 56 · see citing works
Kessels, R. P. C., de Vent, N. R., Bruijnen, C. J. W. H., Jansen, M. G., de Jonghe, J. F. M., Dijkstra, B. A. G., & Oosterman, J. M. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11144059 · Cited by 53 · see citing works
Pantoni, L., Marzi, C., Poggesi, A., Giorgio, A., Stefano, N. D., Mascalchi, M., Inzitari, D., Salvadori, E., & Diciotti, S. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101990 · Cited by 50 · see citing works
Diciotti, S., Orsolini, S., Salvadori, E., Giorgio, A., Toschi, N., Ciulli, S., Ginestroni, A., Poggesi, A., Stefano, N. D., Pantoni, L., et al. (2016) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2016.12.003 · Cited by 51 · see citing works
Cilia, R., Piatti, M., Cereda, E., Bolliri, C., Caronni, S., Ferri, V., Cassani, E., Bonvegna, S., Ferrarese, C., Zecchinelli, A., et al. (2020) · Journal of Parkinson s Disease · doi:10.3233/jpd-202297 · Cited by 51 · see citing works
Fiorenzato, E., Cauzzo, S., Weis, L., Garon, M., Pistonesi, F., Cianci, V., Nasi, M. L., Vianello, F., Zecchinelli, A., Pezzoli, G., et al. (2024) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2024.123283 · Cited by 50 · see citing works
Picture Interpretation Test (PIT) 360°: An Innovative Measure of Executive Functions
Serino, S., Baglio, F., Rossetto, F., Realdon, O., Cipresso, P., Parsons, T. D., Cappellini, G., Mantovani, F., Leo, G. D., Nemni, R., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-16121-x · Cited by 50 · see citing works
Cova, I., Nicotra, A., Maestri, G., Canevelli, M., Pantoni, L., & Pomati, S. (2021) · Neurological Sciences · doi:10.1007/s10072-021-05716-y · Cited by 50 · see citing works
Jonsdottir, J., Baglio, F., Gindri, P., Isernia, S., Castiglioni, C., Gramigna, C., Palumbo, G., Pagliari, C., Tella, S. D., Perini, G., et al. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.601131 · Cited by 48 · see citing works
Pelizzari, L., Laganà, M. M., Rossetto, F., Bergsland, N., Galli, M., Baselli, G., Clerici, M., Nemni, R., & Baglio, F. (2019) · Therapeutic Advances in Neurological Disorders · doi:10.1177/1756286419838354 · Cited by 46 · see citing works
Cabinio, M., Rossetto, F., Isernia, S., Saibene, F. L., Cesare, M. D., Borgnis, F., Pazzi, S., Migliazza, T., Alberoni, M., Blasi, V., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9051355 · Cited by 45 · see citing works
Bernini, S., Panzarasa, S., Barbieri, M., Sinforiani, E., Quaglini, S., Tassorelli, C., & Bottiroli, S. (2020) · Aging Clinical and Experimental Research · doi:10.1007/s40520-020-01665-2 · Cited by 43 · see citing works
Siciliano, M., Chiorri, C., Passaniti, C., Sant’Elia, V., Trojano, L., & Santangelo, G. (2019) · Neurological Sciences · doi:10.1007/s10072-019-3700-7 · Cited by 42 · see citing works
Serum levels of glial fibrillary acidic protein in patients with amyotrophic lateral sclerosis
Verde, F., Milone, I., Maranzano, A., Colombo, E., Torre, S., Solca, F., Doretti, A., Gentile, F., Manini, A., Bonetti, R., et al. (2022) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51708 · Cited by 41 · see citing works
Frequency and Determinants of Olfactory Hallucinations in Parkinson’s Disease Patients
Solla, P., Masala, C., Pinna, I., Ercoli, T., Loy, F., Orofino, G., Fadda, L., & Defazio, G. (2021) · Brain Sciences · doi:10.3390/brainsci11070841 · Cited by 41 · see citing works
Caffò, A., Lopez, A., Spano, G., Saracino, G., Stasolla, F., Ciriello, G., Grattagliano, I., Lancioni, G., & Bosco, A. (2016) · Aging Clinical and Experimental Research · doi:10.1007/s40520-016-0580-z · Cited by 32 · see citing works
Solla, P., Masala, C., Liscia, A. M., Piras, R., Ercoli, T., Fadda, L., Hummel, T. R., Haenher, A., & Defazio, G. (2019) · Journal of Neurology · doi:10.1007/s00415-019-09551-2 · Cited by 39 · see citing works
Lockdown Effects on Healthy Cognitive Aging During the COVID-19 Pandemic: A Longitudinal Study
Amanzio, M., Canessa, N., Bartoli, M., Cipriani, G. E., Palermo, S., & Cappa, S. F. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.685180 · Cited by 39 · see citing works
Bonizzato, S., Ghiggia, A., Ferraro, F., & Galante, E. (2021) · Neurological Sciences · doi:10.1007/s10072-021-05653-w · Cited by 39 · see citing works
Psychometrics and diagnostics of Italian cognitive screening tests: a systematic review
Aiello, E. N., Rimoldi, S., Bolognini, N., Appollonio, I. M., & Arcara, G. (2021) · Neurological Sciences · doi:10.1007/s10072-021-05683-4 · Cited by 38 · see citing works
Zizolfi, D., Poloni, N., Caselli, I., Ielmini, M., Lucca, G., Diurni, M., Cavallini, G., & Callegari, C. (2019) · Psychology Research and Behavior Management · doi:10.2147/prbm.s205424 · Cited by 37 · see citing works
Optimal MoCA cutoffs for detecting biologically-defined patients with MCI and early dementia
Ilardi, C. R., Menichelli, A., Michelutti, M., Cattaruzza, T., & Manganotti, P. (2022) · Neurological Sciences · doi:10.1007/s10072-022-06422-z · Cited by 37 · see citing works
Realdon, O., Serino, S., Savazzi, F. A., Rossetto, F., Cipresso, P., Parsons, T. D., Cappellini, G., Mantovani, F., Mendozzi, L., Nemni, R., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-42201-1 · Cited by 37 · see citing works
Maddaluno, O., Aiello, E. N., Roncoroni, C., Prunas, A., & Bolognini, N. (2021) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acab100 · Cited by 37 · see citing works
Rossetto, F., Borgnis, F., Isernia, S., Foglia, E., Garagiola, E., Realdon, O., & Baglio, F. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1154481 · Cited by 36 · see citing works
Rossetto, F., Isernia, S., Realdon, O., Borgnis, F., Blasi, V., Pagliari, C., Cabinio, M., Alberoni, M., Mantovani, F., Clerici, M., et al. (2023) · Annals of Medicine · doi:10.1080/07853890.2023.2185672 · Cited by 35 · see citing works
Fattirolli, F., Bettinardi, O., Angelino, E., Vico, L. D., Ferrari, M., Pierobon, A., Temporelli, D., Agostini, S., Ambrosetti, M., Biffi, B., et al. (2018) · European Journal of Preventive Cardiology · doi:10.1177/2047487318789497 · Cited by 35 · see citing works
Screening for neuropsychological impairment in COPD patients undergoing rehabilitation
Pierobon, A., Ranzini, L., Torlaschi, V., Bottelli, E. S., Giardini, A., Bruschi, C., Maestri, R., Callegari, S., Raccanelli, R., & Sommaruga, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0199736 · Cited by 36 · see citing works
Rossetto, F., Baglio, F., Massaro, D., Alberoni, M., Nemni, R., Marchetti, A., & Castelli, I. (2020) · Behavioural Neurology · doi:10.1155/2020/5204927 · Cited by 38 · see citing works
Valenti, R., Bene, A. D., Poggesi, A., Ginestroni, A., Salvadori, E., Pracucci, G., Ciolli, L., Marini, S., Nannucci, S., Pasi, M., et al. (2016) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2016.07.018 · Cited by 35 · see citing works
Salvadori, E., Cova, I., Mele, F., Pomati, S., & Pantoni, L. (2022) · Aging Clinical and Experimental Research · doi:10.1007/s40520-022-02133-9 · Cited by 34 · see citing works
Boccardi, M., Nicolosi, V., Festari, C., Bianchetti, A., Cappa, S. F., Chiasserini, D., Falini, A., Guerra, U. P., Nobili, F. M., Padovani, A., et al. (2019) · European Journal of Neurology · doi:10.1111/ene.14117 · Cited by 32 · see citing works
Maria, M. D., Ferro, F., Ausili, D., Buck, H. G., Vellone, E., & Matarese, M. (2021) · Journal of Advanced Nursing · doi:10.1111/jan.15033 · Cited by 32 · see citing works
Dodich, A., Funghi, G., Meli, C., Pennacchio, M., Longo, C., Malaguti, M. C., Giacopo, R. D., Zappini, F., Turella, L., & Papagno, C. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.866809 · Cited by 32 · see citing works
Sorrentino, G., Franza, M., Zuber, C., Blanke, O., Serino, A., & Bassolino, M. (2021) · Cortex · doi:10.1016/j.cortex.2020.11.021 · Cited by 29 · see citing works
Engedal, K., Gjøra, L., Benth, J. Š., Wagle, J., Rønqvist, T. K., & Selbæk, G. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215442 · Cited by 30 · see citing works
Phenotypic correlates of serum neurofilament light chain levels in amyotrophic lateral sclerosis
Verde, F., Milone, I., Colombo, E., Maranzano, A., Solca, F., Torre, S., Doretti, A., Gentile, F., Manini, A., Bonetti, R., et al. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1132808 · Cited by 31 · see citing works
Federico, A., Maier, A., Vianello, G., Mapelli, D., Trentin, M., Zanette, G., Picelli, A., Gandolfi, M., & Tamburin, S. (2015) · Parkinson s Disease · doi:10.1155/2015/681976 · Cited by 31 · see citing works
Hsu, J., Fan, Y., Huang, Y.-L., Wang, J., Chen, W., Chiu, H., & Bai, C. (2015) · Alzheimer s Research & Therapy · doi:10.1186/s13195-015-0156-8 · Cited by 30 · see citing works
for the VMCI-Tuscany study group, Mascalchi, M., Salvadori, E., Toschi, N., Giannelli, M., Orsolini, S., Ciulli, S., Ginestroni, A., Poggesi, A., Giorgio, A., et al. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9873-5 · Cited by 29 · see citing works
Solla, P., Masala, C., Ercoli, T., Frau, C., Bagella, C., Pinna, I., Loy, F., & Defazio, G. (2023) · Biology · doi:10.3390/biology12010112 · Cited by 29 · see citing works
Solla, P., Masala, C., Ercoli, T., Orofino, G., Loy, F., Pinna, I., Fadda, L., & Defazio, G. (2022) · Brain Sciences · doi:10.3390/brainsci12020196 · Cited by 28 · see citing works
Bottiroli, S., Bernini, S., Cavallini, E., Sinforiani, E., Zucchella, C., Pazzi, S., Paolo, C., Vecchi, T., Tost, D., Sandrini, G., et al. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.635410 · Cited by 27 · see citing works
Avenali, M., Picascia, M., Tassorelli, C., Sinforiani, E., & Bernini, S. (2021) · Aging Clinical and Experimental Research · doi:10.1007/s40520-021-01865-4 · Cited by 28 · see citing works
Brain Networks and Cognitive Impairment in Parkinson's Disease
Rucco, R., Lardone, A., Liparoti, M., Lopez, E. T., Micco, R. D., Tessitore, A., Granata, C., Mandolesi, L., Sorrentino, G., & Sorrentino, P. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0985 · Cited by 27 · see citing works
BDNF Serum Levels with Respect to Multidimensional Assessment in Amyotrophic Lateral Sclerosis
Tremolizzo, L., Pellegrini, A., Conti, E., Arosio, A., Gerardi, F., Lunetta, C., Magni, P., Appollonio, I. M., & Ferrarese, C. (2016) · Neurodegenerative Diseases · doi:10.1159/000441916 · Cited by 27 · see citing works
Tagliabue, C. F., Guzzetti, S., Gualco, G., Boccolieri, G., Boccolieri, A., Smith, S., & Daini, R. (2018) · BMC Geriatrics · doi:10.1186/s12877-018-1014-x · Cited by 27 · see citing works
Effective Connectivity During Rest and Music Listening: An EEG Study on Parkinson’s Disease
Maggioni, E., Arienti, F., Minella, S., Mameli, F., Borellini, L., Nigro, M., Cogiamanian, F. M., Bianchi, A. M., Cerutti, S., Barbieri, S., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.657221 · Cited by 26 · see citing works
Palomba, N. P., Fortunato, G., Pepe, G., Modugno, N., Pietracupa, S., Damiano, I., Mascio, G., Carrillo, F., Giovannantonio, L. G. D., Ianiro, L., et al. (2023) · Molecular Neurobiology · doi:10.1007/s12035-022-03203-9 · Cited by 26 · see citing works
Olfactory Function and Age: a Sniffin’ Sticks Extended Test Study Performed in Sardinia
Masala, C., Saba, L., Cecchini, M. P., Solla, P., & Loy, F. (2017) · Chemosensory Perception · doi:10.1007/s12078-017-9233-7 · Cited by 26 · see citing works
Carelli, L., Solca, F., Faini, A., Madotto, F., Lafronza, A., Monti, A., Zago, S., Doretti, A., Ciammola, A., Ticozzi, N., et al. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00450 · Cited by 25 · see citing works
Spontaneous head-movements improve sound localization in aging adults with hearing loss
Gessa, E., Giovanelli, E., Spinella, D., Verdelet, G., Farnè, A., Frau, G. N., Pavani, F., & Valzolgher, C. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1026056 · Cited by 24 · see citing works
Ciccarelli, N., Colombo, B., Pepe, F., Magni, E., Antonietti, A., & Silveri, M. (2021) · Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · doi:10.1080/13825585.2021.1892026 · Cited by 18 · see citing works
Fabbri, L., Mosca, I. E., Gerli, F., Martini, L., Pancani, S., Lucidi, G., Savazzi, F. A., Baglio, F., Vannetti, F., Macchi, C., et al. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2018.01040 · Cited by 23 · see citing works
Castiglione, A., Casa, M., Gallo, S., Sorrentino, F., Dhima, S., Cilia, D., Lovo, E., Gambin, M., Previato, M., Colombo, S., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01279 · Cited by 22 · see citing works
Sanna, F., Loy, F., Piras, R., Moat, A., & Masala, C. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.599593 · Cited by 20 · see citing works
Montreal Cognitive Assessment (MoCA): An update normative study for the Portuguese population
Gonçalves, J., Gerardo, B., Nogueira, J., Afonso, R. M., & Freitas, S. (2023) · Applied Neuropsychology Adult · doi:10.1080/23279095.2023.2252949 · Cited by 21 · see citing works
Masala, C., Loy, F., Piras, R., Liscia, A. M., Fadda, L., Moat, A., Solla, P., & Defazio, G. (2020) · Brain Sciences · doi:10.3390/brainsci10040218 · Cited by 21 · see citing works
MoCA 7.1: Multicenter Validation of the First Italian Version of Montreal Cognitive Assessment
Pirani, A., Nasreddine, Z. S., Neviani, F., Fabbo, A., Rocchi, M., Bertolotti, M., Tulipani, C., Galassi, M., Murri, M. B., & Neri, M. (2022) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-210053 · Cited by 21 · see citing works
Beltrami, D., Calzà, L., Gagliardi, G., Ghidoni, E., Marcello, N., Favretti, R. R., & Tamburini, F. (2016) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/29dtk8secyzx · Cited by 20 · see citing works
Hilviu, D., Parola, A., Bosco, F. M., Marini, A., & Gabbatore, I. (2024) · Language Cognition and Neuroscience · doi:10.1080/23273798.2024.2401027 · Cited by 19 · see citing works
Masala, C., Cavazzana, A., Sanna, F., Cecchini, M. P., Zanini, A., Gasperi, F., Menghi, L., Endrizzi, I., Borgogno, M., Drago, S., et al. (2022) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-022-07311-z · Cited by 19 · see citing works
Evaluating cognitive performance using virtual reality gamified exercises
Borghetti, D., Zanobini, C., Natola, I., Ottino, S., Parenti, A., Brugada-Ramentol, V., Jalali, H., & Bozorgzadeh, A. (2023) · Frontiers in Virtual Reality · doi:10.3389/frvir.2023.1153145 · Cited by 19 · see citing works
Wei, Q., Du, B., Liu, Y., Cao, S., Yin, S., Zhang, Y., Ye, R., Bai, T., Wu, X., Tian, Y., et al. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1455129 · Cited by 18 · see citing works
Marini, A., Petriglia, F., D’Ortenzio, S., Bosco, F. M., & Gasparotto, G. (2025) · Discourse Processes · doi:10.1080/0163853x.2025.2507548 · Cited by 18 · see citing works
Montemurro, S., Daini, R., Tagliabue, C. F., Guzzetti, S., Gualco, G., Mondini, S., & Arcara, G. (2022) · Current Psychology · doi:10.1007/s12144-022-03062-6 · Cited by 18 · see citing works
Montemurro, S., Mondini, S., Crovace, C., & Jarema, G. (2019) · Frontiers in Communication · doi:10.3389/fcomm.2019.00014 · Cited by 18 · see citing works
Isernia, S., Cabinio, M., Tella, S. D., Pazzi, S., Vannetti, F., Gerli, F., Mosca, I. E., Lombardi, G., Macchi, C., Sorbi, S., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210347 · Cited by 18 · see citing works
Theory of Mind in migraine and medication-overuse headache: A cross-sectional study
Romozzi, M., Tella, S. D., Rollo, E., Quintieri, P., Silveri, M. C., Vollono, C., & Calabresi, P. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.968111 · Cited by 17 · see citing works
Bischetti, L., Pompei, C., Scalingi, B., Frau, F., Bosia, M., Arcara, G., & Bambini, V. (2023) · Language Resources and Evaluation · doi:10.1007/s10579-023-09667-y · Cited by 18 · see citing works
- Authors
- Conti, S., Bonazzi, S., Laiacona, M., Masina, M., & Coralli, M. V.
- Affiliations
- University of Padua (IT)
- Azienda USL di Bologna (IT)
- Istituti Clinici Scientifici Maugeri (IT)
- Corresponding author
- Conti, Silvia
- Venue
- Neurological Sciences
- Published
- 2014-08-20
- Volume
- 36
- Issue
- 2
- Pages
- 209-214
- ISSN
- 1590-1874 (ISSN-L)
- 1590-3478
- OpenAlex
- W1983421775
- Cited by
- 291
- References
- 25
- Citations by year
- 2026: 29 · 2025: 46 · 2024: 34 · 2023: 40 · 2022: 30 · 2021: 38 · 2020: 14 · 2019: 21 · 2018: 12 · 2017: 11 · 2016: 10 · 2015: 4 · 2014: 1 · 2012: 1
- FWCI
- 6.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Neurological Sciences (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- Montreal Cognitive Assessment, Italian adaptation, reference values, cognitive screening, mild cognitive impairment, dementia, Alzheimer's disease, healthy older adults
- MeSH terms
- Aged, Aged, 80 and over, Cognition Disorders, Female, Humans, Italy, Language, Male, Middle Aged, Psychiatric Status Rating Scales, Reference Values, Linear Models
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