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Principal Investigator  
Principal Investigator's Name: Cosimo Tuena
Institution: Istituto Auxologico Italiano
Department: Applied technologies for neuropsychology lab
Country:
Proposed Analysis: Background Growing evidence suggests a link between physical performance and cognitive decline, which could represent an important subject for investigating factors that might predict the development of cognitive degeneration due to a specific condition (i.e., Alzheimer’s disease; AD). Several studies have reported that low physical performances scores, such as slow walking speed [1, 2] and poor standing balance [3], predict cognitive decline and future dementia among individuals without apparent cognitive impairment. In particular, the association between slow gait and cognitive impairment is supported by a shared neural substrate that includes a smaller right hippocampus [4]. Data present in the literature underscores the value of long-term gait slowing as an early indicator of dementia risk [1, 2, 4, 5]. Furthermore, an abnormal one-leg stance is a marker of more advanced dementia and predicts a higher rate of cognitive decline [6]. Specifically, research shows a positive correlation between gait performance/balance and cognitive status as assessed by Mini-Mental State Examination (MMSE) [7], Trail Making Test (TMT) part B [5], and Clock Drawing Test (CDT) [8]. Principal objective The study aims to investigate how, longitudinally, different gait/balance deficits and clinical diagnosis at screening predict cognitive performance in healthy control (HC), mild cognitive impairment (MCI), and AD. In particular, we expect to observe this effect on global cognition and executive function (MMSE, TMT-B, CDT) measures. Design This study is an observational retrospective longitudinal study, with five time points (baseline, 6, 12, 24, 36 months). Subjects and Materials Data from ADNI 1 project will be used. Outcomes and variables Primary outcomes: MMSE, TMT-B, and CDT Secondary outcomes: logical memory, fluency, auditory verbal learning test Covariates: age, number of medications, ADL, ADAS-Cog Independent variables: balance/gait (e.g., pull test/gait test or similar performed at neurological/physical screening); time (baseline, 6, 12, 24, 36 months); populations (HC, MCI, AD) Statistical plan Linear mixed-effects models will be used to investigate the impact of the presence of gait/balance deficits (presence/absence: 2 levels) at screening during the five-time points (time: 5 levels) in the three populations (group: 3 levels) on the primary and secondary outcomes, resulting in mixed designs (2x5x3) for each outcome. Potential effects of confounding variables will be considered by running the models also with the covariates. Participants will be added as a random factor and, if present in the ADNI database, a nested structure will be used to also consider the variation due to the sites and/or the examiners. Post-hoc analyses with Bonferroni correction will be used to investigate significant interactions. Bayes factor could be used as a complementary index to test the amount of evidence in favor of alternative or null hypotheses. Request/questions To carry out this study and fine-tune our hypotheses we need details of the items recorded during the neurological and physical examination at screening (items 1-12, page 108 of the ADNI Procedure Manual). Could be possible, if the study will be approved, to have these details for each individual of the three groups? Thank you for considering this application. Sincerely, Cosimo Tuena References 1. Marquis, S., Moore, M. M., Howieson, D. B., Sexton, G., Payami, H., Kaye, J. A., & Camicioli, R. (2002). Independent predictors of cognitive decline in healthy elderly persons. Archives of neurology, 59(4), 601-606. 2. Waite, L. M., Grayson, D. A., Piguet, O., Creasey, H., Bennett, H. P., & Broe, G. A. (2005). Gait slowing as a predictor of incident dementia: 6-year longitudinal data from the Sydney Older Persons Study. Journal of the neurological sciences, 229, 89-93. 3. Wang, L., Larson, E. B., Bowen, J. D., & van Belle, G. (2006). Performance-based physical function and future dementia in older people. Archives of internal medicine, 166(10), 1115-1120. 4. Rosso, A. L., Verghese, J., Metti, A. L., Boudreau, R. M., Aizenstein, H. J., Kritchevsky, S., ... & Rosano, C. (2017). Slowing gait and risk for cognitive impairment: the hippocampus as a shared neural substrate. Neurology, 89(4), 336-342. 5. Mielke, M. M., Roberts, R. O., Savica, R., Cha, R., Drubach, D. I., Christianson, T., ... & Petersen, R. C. (2013). Assessing the temporal relationship between cognition and gait: slow gait predicts cognitive decline in the Mayo Clinic Study of Aging. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences, 68(8), 929-937. 6. Rolland, Y., van Kan, G. A., Nourhashemi, F., Andrieu, S., Cantet, C., Guyonnet-Gillette, S., & Vellas, B. (2009). An abnormal “one-leg balance” test predicts cognitive decline during Alzheimer's disease. Journal of Alzheimer's Disease, 16(3), 525-531. 7. Hernandez, S. S., Coelho, F. G., Gobbi, S., & Stella, F. (2010). Effects of physical activity on cognitive functions, balance, and risk of falls in elderly patients with Alzheimer's dementia. Brazilian Journal of Physical Therapy, 14, 68-74. 8. de Melo Coelho, F. G., Stella, F., de Andrade, L. P., Barbieri, F. A., Santos-Galduróz, R. F., Gobbi, S., ... & Gobbi, L. T. B. (2012). Gait and risk of falls associated with frontal cognitive functions at different stages of Alzheimer's disease. Aging, Neuropsychology, and Cognition, 19(5), 644-656.
Additional Investigators  
Investigator's Name: Silvia Serino
Proposed Analysis: Background Growing evidence suggests a link between physical performance and cognitive decline, which could represent an important subject for investigating factors that might predict the development of cognitive degeneration due to a specific condition (i.e., Alzheimer’s disease; AD). Several studies have reported that low physical performances scores, such as slow walking speed [1, 2] and poor standing balance [3], predict cognitive decline and future dementia among individuals without apparent cognitive impairment. In particular, the association between slow gait and cognitive impairment is supported by a shared neural substrate that includes a smaller right hippocampus [4]. Data present in the literature underscores the value of long-term gait slowing as an early indicator of dementia risk [1, 2, 4, 5]. Furthermore, an abnormal one-leg stance is a marker of more advanced dementia and predicts a higher rate of cognitive decline [6]. Specifically, research shows a positive correlation between gait performance/balance and cognitive status as assessed by Mini-Mental State Examination (MMSE) [7], Trail Making Test (TMT) part B [5], and Clock Drawing Test (CDT) [8]. Principal objective The study aims to investigate how, longitudinally, different gait/balance deficits and clinical diagnosis at screening predict cognitive performance in healthy control (HC), mild cognitive impairment (MCI), and AD. In particular, we expect to observe this effect on global cognition and executive function (MMSE, TMT-B, CDT) measures. Design This study is an observational retrospective longitudinal study, with five time points (baseline, 6, 12, 24, 36 months). Subjects and Materials Data from ADNI 1 project will be used. Outcomes and variables Primary outcomes: MMSE, TMT-B, and CDT Secondary outcomes: logical memory, fluency, auditory verbal learning test Covariates: age, number of medications, ADL, ADAS-Cog Independent variables: balance/gait (e.g., pull test/gait test or similar performed at neurological/physical screening); time (baseline, 6, 12, 24, 36 months); populations (HC, MCI, AD) Statistical plan Linear mixed-effects models will be used to investigate the impact of the presence of gait/balance deficits (presence/absence: 2 levels) at screening during the five-time points (time: 5 levels) in the three populations (group: 3 levels) on the primary and secondary outcomes, resulting in mixed designs (2x5x3) for each outcome. Potential effects of confounding variables will be considered by running the models also with the covariates. Participants will be added as a random factor and, if present in the ADNI database, a nested structure will be used to also consider the variation due to the sites and/or the examiners. Post-hoc analyses with Bonferroni correction will be used to investigate significant interactions. Bayes factor could be used as a complementary index to test the amount of evidence in favor of alternative or null hypotheses. Request/questions To carry out this study and fine-tune our hypotheses we need details of the items recorded during the neurological and physical examination at screening (items 1-12, page 108 of the ADNI Procedure Manual). Could be possible, if the study will be approved, to have these details for each individual of the three groups? Thank you for considering this application and project. Sincerely, References 1. Marquis, S., Moore, M. M., Howieson, D. B., Sexton, G., Payami, H., Kaye, J. A., & Camicioli, R. (2002). Independent predictors of cognitive decline in healthy elderly persons. Archives of neurology, 59(4), 601-606. 2. Waite, L. M., Grayson, D. A., Piguet, O., Creasey, H., Bennett, H. P., & Broe, G. A. (2005). Gait slowing as a predictor of incident dementia: 6-year longitudinal data from the Sydney Older Persons Study. Journal of the neurological sciences, 229, 89-93. 3. Wang, L., Larson, E. B., Bowen, J. D., & van Belle, G. (2006). Performance-based physical function and future dementia in older people. Archives of internal medicine, 166(10), 1115-1120. 4. Rosso, A. L., Verghese, J., Metti, A. L., Boudreau, R. M., Aizenstein, H. J., Kritchevsky, S., ... & Rosano, C. (2017). Slowing gait and risk for cognitive impairment: the hippocampus as a shared neural substrate. Neurology, 89(4), 336-342. 5. Mielke, M. M., Roberts, R. O., Savica, R., Cha, R., Drubach, D. I., Christianson, T., ... & Petersen, R. C. (2013). Assessing the temporal relationship between cognition and gait: slow gait predicts cognitive decline in the Mayo Clinic Study of Aging. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences, 68(8), 929-937. 6. Rolland, Y., van Kan, G. A., Nourhashemi, F., Andrieu, S., Cantet, C., Guyonnet-Gillette, S., & Vellas, B. (2009). An abnormal “one-leg balance” test predicts cognitive decline during Alzheimer's disease. Journal of Alzheimer's Disease, 16(3), 525-531. 7. Hernandez, S. S., Coelho, F. G., Gobbi, S., & Stella, F. (2010). Effects of physical activity on cognitive functions, balance, and risk of falls in elderly patients with Alzheimer's dementia. Brazilian Journal of Physical Therapy, 14, 68-74. 8. de Melo Coelho, F. G., Stella, F., de Andrade, L. P., Barbieri, F. A., Santos-Galduróz, R. F., Gobbi, S., ... & Gobbi, L. T. B. (2012). Gait and risk of falls associated with frontal cognitive functions at different stages of Alzheimer's disease. Aging, Neuropsychology, and Cognition, 19(5), 644-656.
Investigator's Name: Elisa Pedroli
Proposed Analysis: Background Growing evidence suggests a link between physical performance and cognitive decline, which could represent an important subject for investigating factors that might predict the development of cognitive degeneration due to a specific condition (i.e., Alzheimer’s disease; AD). Several studies have reported that low physical performances scores, such as slow walking speed [1, 2] and poor standing balance [3], predict cognitive decline and future dementia among individuals without apparent cognitive impairment. In particular, the association between slow gait and cognitive impairment is supported by a shared neural substrate that includes a smaller right hippocampus [4]. Data present in the literature underscores the value of long-term gait slowing as an early indicator of dementia risk [1, 2, 4, 5]. Furthermore, an abnormal one-leg stance is a marker of more advanced dementia and predicts a higher rate of cognitive decline [6]. Specifically, research shows a positive correlation between gait performance/balance and cognitive status as assessed by Mini-Mental State Examination (MMSE) [7], Trail Making Test (TMT) part B [5], and Clock Drawing Test (CDT) [8]. Principal objective The study aims to investigate how, longitudinally, different gait/balance deficits and clinical diagnosis at screening predict cognitive performance in healthy control (HC), mild cognitive impairment (MCI), and AD. In particular, we expect to observe this effect on global cognition and executive function (MMSE, TMT-B, CDT) measures. Design This study is an observational retrospective longitudinal study, with five time points (baseline, 6, 12, 24, 36 months). Subjects and Materials Data from ADNI 1 project will be used. Outcomes and variables Primary outcomes: MMSE, TMT-B, and CDT Secondary outcomes: logical memory, fluency, auditory verbal learning test Covariates: age, number of medications, ADL, ADAS-Cog Independent variables: balance/gait (e.g., pull test/gait test or similar performed at neurological/physical screening); time (baseline, 6, 12, 24, 36 months); populations (HC, MCI, AD) Statistical plan Linear mixed-effects models will be used to investigate the impact of the presence of gait/balance deficits (presence/absence: 2 levels) at screening during the five-time points (time: 5 levels) in the three populations (group: 3 levels) on the primary and secondary outcomes, resulting in mixed designs (2x5x3) for each outcome. Potential effects of confounding variables will be considered by running the models also with the covariates. Participants will be added as a random factor and, if present in the ADNI database, a nested structure will be used to also consider the variation due to the sites and/or the examiners. Post-hoc analyses with Bonferroni correction will be used to investigate significant interactions. Bayes factor could be used as a complementary index to test the amount of evidence in favor of alternative or null hypotheses. Request/questions To carry out this study and fine-tune our hypotheses we need details of the items recorded during the neurological and physical examination at screening (items 1-12, page 108 of the ADNI Procedure Manual). Could be possible, if the study will be approved, to have these details for each individual of the three groups? Thank you for considering this application and project. Sincerely, References 1. Marquis, S., Moore, M. M., Howieson, D. B., Sexton, G., Payami, H., Kaye, J. A., & Camicioli, R. (2002). Independent predictors of cognitive decline in healthy elderly persons. Archives of neurology, 59(4), 601-606. 2. Waite, L. M., Grayson, D. A., Piguet, O., Creasey, H., Bennett, H. P., & Broe, G. A. (2005). Gait slowing as a predictor of incident dementia: 6-year longitudinal data from the Sydney Older Persons Study. Journal of the neurological sciences, 229, 89-93. 3. Wang, L., Larson, E. B., Bowen, J. D., & van Belle, G. (2006). Performance-based physical function and future dementia in older people. Archives of internal medicine, 166(10), 1115-1120. 4. Rosso, A. L., Verghese, J., Metti, A. L., Boudreau, R. M., Aizenstein, H. J., Kritchevsky, S., ... & Rosano, C. (2017). Slowing gait and risk for cognitive impairment: the hippocampus as a shared neural substrate. Neurology, 89(4), 336-342. 5. Mielke, M. M., Roberts, R. O., Savica, R., Cha, R., Drubach, D. I., Christianson, T., ... & Petersen, R. C. (2013). Assessing the temporal relationship between cognition and gait: slow gait predicts cognitive decline in the Mayo Clinic Study of Aging. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences, 68(8), 929-937. 6. Rolland, Y., van Kan, G. A., Nourhashemi, F., Andrieu, S., Cantet, C., Guyonnet-Gillette, S., & Vellas, B. (2009). An abnormal “one-leg balance” test predicts cognitive decline during Alzheimer's disease. Journal of Alzheimer's Disease, 16(3), 525-531. 7. Hernandez, S. S., Coelho, F. G., Gobbi, S., & Stella, F. (2010). Effects of physical activity on cognitive functions, balance, and risk of falls in elderly patients with Alzheimer's dementia. Brazilian Journal of Physical Therapy, 14, 68-74. 8. de Melo Coelho, F. G., Stella, F., de Andrade, L. P., Barbieri, F. A., Santos-Galduróz, R. F., Gobbi, S., ... & Gobbi, L. T. B. (2012). Gait and risk of falls associated with frontal cognitive functions at different stages of Alzheimer's disease. Aging, Neuropsychology, and Cognition, 19(5), 644-656.
Investigator's Name: Giuseppe Riva
Proposed Analysis: Background Growing evidence suggests a link between physical performance and cognitive decline, which could represent an important subject for investigating factors that might predict the development of cognitive degeneration due to a specific condition (i.e., Alzheimer’s disease; AD). Several studies have reported that low physical performances scores, such as slow walking speed [1, 2] and poor standing balance [3], predict cognitive decline and future dementia among individuals without apparent cognitive impairment. In particular, the association between slow gait and cognitive impairment is supported by a shared neural substrate that includes a smaller right hippocampus [4]. Data present in the literature underscores the value of long-term gait slowing as an early indicator of dementia risk [1, 2, 4, 5]. Furthermore, an abnormal one-leg stance is a marker of more advanced dementia and predicts a higher rate of cognitive decline [6]. Specifically, research shows a positive correlation between gait performance/balance and cognitive status as assessed by Mini-Mental State Examination (MMSE) [7], Trail Making Test (TMT) part B [5], and Clock Drawing Test (CDT) [8]. Principal objective The study aims to investigate how, longitudinally, different gait/balance deficits and clinical diagnosis at screening predict cognitive performance in healthy control (HC), mild cognitive impairment (MCI), and AD. In particular, we expect to observe this effect on global cognition and executive function (MMSE, TMT-B, CDT) measures. Design This study is an observational retrospective longitudinal study, with five time points (baseline, 6, 12, 24, 36 months). Subjects and Materials Data from ADNI 1 project will be used. Outcomes and variables Primary outcomes: MMSE, TMT-B, and CDT Secondary outcomes: logical memory, fluency, auditory verbal learning test Covariates: age, number of medications, ADL, ADAS-Cog Independent variables: balance/gait (e.g., pull test/gait test or similar performed at neurological/physical screening); time (baseline, 6, 12, 24, 36 months); populations (HC, MCI, AD) Statistical plan Linear mixed-effects models will be used to investigate the impact of the presence of gait/balance deficits (presence/absence: 2 levels) at screening during the five-time points (time: 5 levels) in the three populations (group: 3 levels) on the primary and secondary outcomes, resulting in mixed designs (2x5x3) for each outcome. Potential effects of confounding variables will be considered by running the models also with the covariates. Participants will be added as a random factor and, if present in the ADNI database, a nested structure will be used to also consider the variation due to the sites and/or the examiners. Post-hoc analyses with Bonferroni correction will be used to investigate significant interactions. Bayes factor could be used as a complementary index to test the amount of evidence in favor of alternative or null hypotheses. Request/questions To carry out this study and fine-tune our hypotheses we need details of the items recorded during the neurological and physical examination at screening (items 1-12, page 108 of the ADNI Procedure Manual). Could be possible, if the study will be approved, to have these details for each individual of the three groups? Thank you for considering this application and project. Sincerely, References 1. Marquis, S., Moore, M. M., Howieson, D. B., Sexton, G., Payami, H., Kaye, J. A., & Camicioli, R. (2002). Independent predictors of cognitive decline in healthy elderly persons. Archives of neurology, 59(4), 601-606. 2. Waite, L. M., Grayson, D. A., Piguet, O., Creasey, H., Bennett, H. P., & Broe, G. A. (2005). Gait slowing as a predictor of incident dementia: 6-year longitudinal data from the Sydney Older Persons Study. Journal of the neurological sciences, 229, 89-93. 3. Wang, L., Larson, E. B., Bowen, J. D., & van Belle, G. (2006). Performance-based physical function and future dementia in older people. Archives of internal medicine, 166(10), 1115-1120. 4. Rosso, A. L., Verghese, J., Metti, A. L., Boudreau, R. M., Aizenstein, H. J., Kritchevsky, S., ... & Rosano, C. (2017). Slowing gait and risk for cognitive impairment: the hippocampus as a shared neural substrate. Neurology, 89(4), 336-342. 5. Mielke, M. M., Roberts, R. O., Savica, R., Cha, R., Drubach, D. I., Christianson, T., ... & Petersen, R. C. (2013). Assessing the temporal relationship between cognition and gait: slow gait predicts cognitive decline in the Mayo Clinic Study of Aging. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences, 68(8), 929-937. 6. Rolland, Y., van Kan, G. A., Nourhashemi, F., Andrieu, S., Cantet, C., Guyonnet-Gillette, S., & Vellas, B. (2009). An abnormal “one-leg balance” test predicts cognitive decline during Alzheimer's disease. Journal of Alzheimer's Disease, 16(3), 525-531. 7. Hernandez, S. S., Coelho, F. G., Gobbi, S., & Stella, F. (2010). Effects of physical activity on cognitive functions, balance, and risk of falls in elderly patients with Alzheimer's dementia. Brazilian Journal of Physical Therapy, 14, 68-74. 8. de Melo Coelho, F. G., Stella, F., de Andrade, L. P., Barbieri, F. A., Santos-Galduróz, R. F., Gobbi, S., ... & Gobbi, L. T. B. (2012). Gait and risk of falls associated with frontal cognitive functions at different stages of Alzheimer's disease. Aging, Neuropsychology, and Cognition, 19(5), 644-656.
Investigator's Name: Sara Maestri
Proposed Analysis: Same as other, in particular manuscript writing, editing and results interpretation
Investigator's Name: Martino Pengo
Proposed Analysis: Evaluate the role of blood pressure on cognitive decline
Investigator's Name: Alessandro Croce
Proposed Analysis: Study and understanding of the effect of blood pressure on cognitive tests and Alzheimer's disease neurodegenerative processes