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1. Progress toward standardized diagnosis of vascular cognitive impairment: Guidelines from the Vascular Impairment of Cognition Classification Consensus Study

Author

Taragano, F.E., Kril, J., Cavalieri, M., Jellinger, K.A., Kovacs, G.G., Engelborghs, S., Lafosse, C., Bertolucci, P.H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T.C., Bocti, C., Fulop, T., Hogan, D.B., Hsiung, G.R., Kirk, A., Leach, L., Robillard, A., Sahlas, D.J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R.F., Korczyn, A.D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D.V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S.Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A.J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L.S., Ikram, M.K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A.J., López-Pousa, S., Martinez-Lage, P., Mataro, M., Börjesson-Hanson, A., Englund, E., Laukka, E.J., Qiu, C., Viitanen, M., Biessels, G.J., de Leeuw, F.-E., den Heijer, T., Exalto, L.G., Kappelle, L.J., Prins, N.D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W.M., Bilgic, B., Allan, L.M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P.J., Farrant, A., Fish, M., Harkness, K., Ince, P.G., Langhorne, P., Mann, J., Matthews, F.E., Mayer, P., Pendlebury, S.T., Perneczky, R., Peters, R., Smithard, D., Stephan, B.C., Swartz, J.E., Todd, S., Werring, D.J., Wijayasiri, S.N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J.N., Corrada, M.M., Crane, P.K., Diniz, B.S., Etcher, L., Fillit, H., Greenberg, S.M., Grinberg, L.T., Hurt, S.W., Lamar, M., Mielke, M., Ott, B.R., Perry, G., Powers, W.J., Ramos-Estebanez, C., Reed, B., Roberts, R.O., Romero, J.R., Saykin, A.J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Skrobot, Olivia A., Black, Sandra E., Chen, Christopher, DeCarli, Charles, Erkinjuntti, Timo, Ford, Gary A., Kalaria, Rajesh N., O'Brien, John, Pantoni, Leonardo, Pasquier, Florence, Roman, Gustavo C., Wallin, Anders, Sachdev, Perminder, Skoog, Ingmar, Ben-Shlomo, Yoav, Passmore, Anthony P., Love, Seth, and Kehoe, Patrick G.

Published
2018
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2. The Vascular Impairment of Cognition Classification Consensus Study

Author

Taragano, F.E., Kril, J., Cavalieri, M., Jellinger, K.A., Kovacs, G.G., Engelborghs, S., Lafosse, C., Bertolucci, P.H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T.C., Bocti, C., Fulop, T., Hogan, D.B., Hsiung, G.R., Kirk, A., Leach, L., Robillard, A., Sahlas, D.J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R.F., Korczyn, A.D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., DI Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D.V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S.Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A.J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L.S., Ikram, M.K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A.J., López-Pousa, S., Martinez-Lage, P., Mataro, M., Börjesson-Hanson, A., Englund, E., Laukka, E.J., Qiu, C., Viitanen, M., Biessels, G.J., de Leeuw, F.-E., den Heijer, T., Exalto, L.G., Kappelle, L.J., Prins, N.D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W.M., Bilgic, B., Allan, L.M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P.J., Farrant, A., Fish, M., Harkness, K., Ince, P.G., Langhorne, P., Mann, J., Matthews, F.E., Mayer, P., Pendlebury, S.T., Perneczky, R., Peters, R., Smithard, D., Stephan, B.C., Swartz, J.E., Todd, S., Werring, D.J., Wijayasiri, S.N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J.N., Corrada, M.M., Crane, P.K., Diniz, B.S., Etcher, L., Fillit, H., Greenberg, S.M., Grinberg, L.T., Hurt, S.W., Lamar, M., Mielke, M., Ott, B.R., Perry, G., Powers, W.J., Ramos-Estebanez, C., Reed, B., Roberts, R.O., Romero, J.R., Saykin, A.J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Skrobot, Olivia A., O'Brien, John, Black, Sandra, Chen, Christopher, DeCarli, Charles, Erkinjuntti, Timo, Ford, Gary A., Kalaria, Rajesh N., Pantoni, Leonardo, Pasquier, Florence, Roman, Gustavo C., Wallin, Anders, Sachdev, Perminder, Skoog, Ingmar, Ben-Shlomo, Yoav, Passmore, Anthony P., Love, Seth, and Kehoe, Patrick G.

Published
2017
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3. A low-dimensional cognitive-network space in Alzheimer’s disease and frontotemporal dementia

Author

Pini, L., de Lange, S. C., Pizzini, F. B., Boscolo Galazzo, I., Manenti, R., Cotelli, Maria, Galluzzi, S., Cotelli, M. S., Corbetta, M., van den Heuvel, M. P., Pievani, M., Cotelli M., Pini, L., de Lange, S. C., Pizzini, F. B., Boscolo Galazzo, I., Manenti, R., Cotelli, Maria, Galluzzi, S., Cotelli, M. S., Corbetta, M., van den Heuvel, M. P., Pievani, M., and Cotelli M.

Abstract

Background: Alzheimer’s disease (AD) and frontotemporal dementia (FTD) show network dysfunctions linked with cognitive deficits. Within this framework, network abnormalities between AD and FTD show both convergent and divergent patterns. However, these functional patterns are far from being established and their relevance to cognitive processes remains to be elucidated. Methods: We investigated the relationship between cognition and functional connectivity of major cognitive networks in these diseases. Twenty-three bvFTD (age: 71±10), 22 AD (age: 72±6), and 20 controls (age: 72±6) underwent cognitive evaluation and resting-state functional MRI. Principal component analysis was used to describe cognitive variance across participants. Brain network connectivity was estimated with connectome analysis. Connectivity matrices were created assessing correlations between parcels within each functional network. The following cognitive networks were considered: default mode (DMN), dorsal attention (DAN), ventral attention (VAN), and frontoparietal (FPN) networks. The relationship between cognition and connectivity was assessed using a bootstrapping correlation and interaction analyses. Results: Three principal cognitive components explained more than 80% of the cognitive variance: the first component (cogPC1) loaded on memory, the second component (cogPC2) loaded on emotion and language, and the third component (cogPC3) loaded on the visuo-spatial and attentional domains. Compared to HC, AD and bvFTD showed impairment in all cogPCs (p<0.002), and bvFTD scored worse than AD in cogPC2 (p=0.031). At the network level, the DMN showed a significant association in the whole group with cogPC1 and cogPC2 and the VAN with cogPC2. By contrast, DAN and FPN showed a divergent pattern between diagnosis and connectivity for cogPC2. We confirmed these results by means of a multivariate analysis (canonical correlation). Conclusions: A low-dimensional representation can account for a large

Published
2022

4. Brain network modulation in Alzheimer's and frontotemporal dementia with transcranial electrical stimulation

Author

Pini, L., Pizzini, F. B., Boscolo-Galazzo, I., Ferrari, C., Galluzzi, S., Cotelli, Maria, Gobbi, E., Cattaneo, A., Cotelli, M. S., Geroldi, C., Zanetti, O., Corbetta, M., van den Heuvel, M., Frisoni, G. B., Manenti, Rosa, Pievani, M., Cotelli M., Manenti R., Pini, L., Pizzini, F. B., Boscolo-Galazzo, I., Ferrari, C., Galluzzi, S., Cotelli, Maria, Gobbi, E., Cattaneo, A., Cotelli, M. S., Geroldi, C., Zanetti, O., Corbetta, M., van den Heuvel, M., Frisoni, G. B., Manenti, Rosa, Pievani, M., Cotelli M., and Manenti R.

Abstract

The default mode (DMN) and the salience (SN) networks show functional hypo-connectivity in Alzheimer's disease (AD) and the behavioral variant of frontotemporal dementia (bvFTD), respectively, along with patterns of hyper-connectivity. We tested the clinical and neurobiological effects of noninvasive stimulation over these networks in 45 patients (AD and bvFTD) who received either anodal (target network: DMN in AD, SN in bvFTD) or cathodal stimulation (target network: SN in AD, DMN in bvFTD). We evaluated changes in clinical, cognitive, functional and structural connectivity, and perfusion measures. In both patient groups, cathodal stimulation was followed by behavioral improvement, whereas anodal stimulation led to cognitive improvement. Neither functional connectivity nor perfusion showed significant effects. A significant interaction between DMN and SN functional connectivity changes and stimulation protocol was reported in AD. These results suggest a protocol-dependent response, whereby the protocols studied show divergent effects on cognitive and clinical measures, along with a divergent modulatory pattern of connectivity in AD.

Published
2022

5. Clinical and biomarker profiling of prodromal Alzheimerʼs disease in workpackage 5 of the Innovative Medicines Initiative PharmaCog project: a ‘European ADNI study’

Author

Galluzzi, S., Marizzoni, M., Babiloni, C., Albani, D., Antelmi, L., Bagnoli, C., Bartres-Faz, D., Cordone, S., Didic, M., Farotti, L., Fiedler, U., Forloni, G., Girtler, N., Hensch, T., Jovicich, J., Leeuwis, A., Marra, C., Molinuevo, J. L., Nobili, F., Pariente, J., Parnetti, L., Payoux, P., Del Percio, C., Ranjeva, J.-P., Rolandi, E., Rossini, P. M., Schönknecht, P., Soricelli, A., Tsolaki, M., Visser, P. J., Wiltfang, J., Richardson, J. C., Bordet, R., Blin, O., and Frisoni, G. B.

Published
2016
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11. Cross-sectional clinical, neuropsychological, neuroimaging, and neurophysiological characterization of mild cognitive impairment patients in WP5 PharmaCog/E-ADNI study: EP1105

Author

Galluzzi, S., Marizzoni, M., Babiloni, C., Bartres-Faz, D., Blin, O., Bordet, R., Bosch, B., De Anna, F., Didic, M., Farotti, L., Forloni, G., Jovicich, J., Marra, C., Marzano, N., Molinuevo, J. L., Nobili, F., Pariente, J., Parnetti, L., Payoux, P., Picco, A., Quaranta, D., Ranjeva, J.-P., Roccatagliata, L., Rossini, P. M., Salvadori, N., Schonknecht, P., Soricelli, A., Tsolaki, M., Vecchio, F., Visser, P. J., Wiltfang, J., and Frisoni, G. B.

Published
2014

15. Age at onset reveals different functional connectivity abnormalities in prodromal Alzheimer’s disease

Author

Pini, L., Geroldi, C., Galluzzi, S., Baruzzi, R., Bertocchi, M., Chito, E., Orini, S., Romano, M., Cotelli, Maria, Rosini, S., Magnaldi, S., Morassi, M., Cobelli, M., Bonvicini, C., Archetti, S., Zanetti, O., Frisoni, G. B., Pievani, M., Cotelli M., Pini, L., Geroldi, C., Galluzzi, S., Baruzzi, R., Bertocchi, M., Chito, E., Orini, S., Romano, M., Cotelli, Maria, Rosini, S., Magnaldi, S., Morassi, M., Cobelli, M., Bonvicini, C., Archetti, S., Zanetti, O., Frisoni, G. B., Pievani, M., and Cotelli M.

Abstract

Age at symptom onset (AAO) underlies different Alzheimer’s disease (AD) clinical variants: late-onset AD (LOAD) is characterized by memory deficits, while early-onset AD (EOAD) presents predominantly with non-memory symptoms. The involvement of different neural networks may explain these distinct clinical phenotypes. In this study, we tested the hypothesis of an early and selective involvement of neural networks based on AAO in AD. Twenty memory clinic patients with prodromal AD (i.e., mild cognitive impairment with an AD-like cerebrospinal fluid profile) and 30 healthy controls underwent a cognitive evaluation and a resting state functional MRI exam. Independent component analysis was performed to assess functional connectivity (FC) in the following networks: default mode, frontoparietal, limbic, visual, and sensorimotor. Patients were stratified into late-onset (pLOAD) and early-onset (pEOAD) prodromal AD according to the AAO and controls were stratified into younger and older groups accordingly. Decreased FC within the default mode and the limbic networks was observed in pLOAD, while pEOAD showed lower FC in the frontoparietal and visual networks. The sensorimotor network did not show differences between groups. A significant association was found between memory and limbic network FC in pLOAD, and between executive functions and frontoparietal network FC in pEOAD, although the latter association did not survive multiple comparison correction. Our findings indicate that aberrant connectivity in memory networks is associated with pLOAD, while networks underlying executive and visuo-spatial functions are affected in pEOAD. These findings are in line with the hypothesis that the pathophysiological mechanisms underlying EOAD and LOAD are distinct.

Published
2020

16. Progress toward standardized diagnosis of vascular cognitive impairment

Author

Skrobot, Olivia A., Black, Sandra E., Chen, Christopher, DeCarli, Charles, Erkinjuntti, Timo, Ford, Gary A., Kalaria, Rajesh N., O'Brien, John, Pantoni, Leonardo, Pasquier, Florence, Roman, Gustavo C., Wallin, Anders, Sachdev, Perminder, Skoog, Ingmar, Ben-Shlomo, Yoav, Passmore, Anthony P., Love, Seth, Kehoe, Patrick G., Taragano, F.E., Kril, J., Cavalieri, M., Jellinger, K.A., Kovacs, G.G., Engelborghs, S., Lafosse, C., Bertolucci, P.H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T.C., Bocti, C., Fulop, T., Hogan, D.B., Hsiung, G.R., Kirk, A., Leach, L., Robillard, A., Sahlas, D.J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R.F., Korczyn, A.D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D.V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S.Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A.J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L.S., Ikram, M.K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A.J., López-Pousa, S., Martinez-Lage, P., Mataro, M., Börjesson-Hanson, A., Englund, E., Laukka, E.J., Qiu, C., Viitanen, M., Biessels, G.J., de Leeuw, F.-E., den Heijer, T., Exalto, L.G., Kappelle, L.J., Prins, N.D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W.M., Bilgic, B., Allan, L.M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P.J., Farrant, A., Fish, M., Harkness, K., Ince, P.G., Langhorne, Peter, Mann, J., Matthews, F.E., Mayer, P., Pendlebury, S.T., Perneczky, R., Peters, R., Smithard, D., Stephan, B.C., Swartz, J.E., Todd, S., Werring, D.J., Wijayasiri, S.N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J.N., Corrada, M.M., Crane, P.K., Diniz, B.S., Etcher, L., Fillit, H., Greenberg, S.M., Grinberg, L.T., Hurt, S.W., Lamar, M., Mielke, M., Ott, B.R., Perry, G., Powers, W.J., Ramos-Estebanez, C., Reed, B., Roberts, R.O., Romero, J.R., Saykin, A.J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Epidemiology, Neurology, General Practice, VICCCS Grp, Clinicum, Neurologian yksikkö, Department of Neurosciences, University of Helsinki, Department of Physics, HUS Neurocenter, Amsterdam Neuroscience - Neurodegeneration, APH - Personalized Medicine, and APH - Methodology

Subjects
0301 basic medicine, Neurology, Delphi Technique, Epidemiology, Delphi method, Delphi, Vascular dementia, 3124 Neurology and psychiatry, 0302 clinical medicine, SMALL VESSEL DISEASE, Neuropsychological assessment, Stroke, medicine.diagnostic_test, Health Policy, Neuropsychology, CLINICAL-CRITERIA, Brain, Cognition, 3. Good health, ALZHEIMERS-DISEASE, Settore MED/26 - NEUROLOGIA, Psychiatry and Mental health, Vascular cognitive impairment, NINDS-AIREN, ACUTE STROKE, STROKE, Clinical psychology, medicine.medical_specialty, Clinical Neurology, MINI-MENTAL-STATE, Guidelines, ATROPHY, 03 medical and health sciences, Cellular and Molecular Neuroscience, WHITE-MATTER CHANGES, Developmental Neuroscience, Vascular, medicine, Journal Article, Dementia, Humans, Intensive care medicine, business.industry, Dementia, Vascular, 3112 Neurosciences, medicine.disease, Criteria, 030104 developmental biology, consensus, Consensus, Neurology (clinical), Geriatrics and Gerontology, Psychiatry and Mental Health, CEREBRAL-BLOOD-FLOW, Human medicine, business, 030217 neurology & neurosurgery
Abstract

Hanna Jokinen tutkimusryhmän jäsenenä (VICCCS Grp) Introduction: Progress in understanding and management of vascular cognitive impairment (VCI) has been hampered by lack of consensus on diagnosis, reflecting the use of multiple different assessment protocols. A large multinational group of clinicians and researchers participated in a two-phase Vascular Impairment of Cognition Classification Consensus Study (VICCCS) to agree on principles (VICCCS-1) and protocols (VICCCS-2) for diagnosis of VCI. We present VICCCS-2. Methods: We used VICCCS-1 principles and published diagnostic guidelines as points of reference for an online Delphi survey aimed at achieving consensus on clinical diagnosis of VCI. Results: Six survey rounds comprising 65-79 participants agreed guidelines for diagnosis of VICCCS-revised mild and major forms of VCI and endorsed the National Institute of Neurological Disorders-Canadian Stroke Network neuropsychological assessment protocols and recommendations for imaging. Discussion: The VICCCS-2 suggests standardized use of the National Institute of Neurological Disorders-Canadian Stroke Network recommendations on neuropsychological and imaging assessment for diagnosis of VCI so as to promote research collaboration. (C) 2017 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Published
2018
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18. Neuroimaging tools to rate regional atrophy, subcortical cerebrovascular disease, and regional cerebral blood flow and metabolism: consensus paper of the EADC

Author

Frisoni, G.B., Scheltens, Ph., Galluzzi, S., Nobili, F.M., Fox, N.C., Robert, P.H., Soininen, H., Wahlund, L.-O., Waldemar, G., and Salmon, E.

Subjects
Atrophy -- Evaluation -- Methods -- Measurement -- Usage, Brain -- Localization of functions, Blood flow -- Measurement -- Usage -- Methods, Neurobiology -- Methods -- Usage -- Measurement, Cerebrovascular disease -- Evaluation -- Usage -- Measurement -- Methods, Diagnostic imaging -- Methods -- Usage -- Measurement, Health, Psychology and mental health, Evaluation, Usage, Measurement, Methods
Abstract

J Neurol Neurosurg Psychiatry 2003;74:1371-1381 Neuroimaging is a mainstay in the differential diagnosis of patients with cognitive impairment. The often equivocal clinical pictures, the prognostic uncertainty of the earliest stages [...]

Published
2003

22. Do beliefs about the pathogenetic role of amyloid affect the interpretation of amyloid PET in the clinic?

Author

Boccardi, M, Altomare, D, Ferrari, C, Festari, C, Antelmi, L, Pievani, M, Tarallo, A, Muscio, C, Guerra, U, Paghera, B, Padovani, A, Frisoni, G, Zanetti, O, Anzola, G, Bertocchi, M, Chito, E, Galluzzi, S, Geroldi, C, Lussignoli, G, Mattioli, F, Moretti, D, Pizzocaro, C, Borroni, B, Rozzini, L, Prelle, A, Gennuso, M, Villani, D, Raimondi, M, Gentile, S, Bellelli, G, Morandi, A, Turco, R, Bellandi, D, Carbone, P, Abruzzi, L, Bettoni, L, Bianchetti, A, Facchi, E, Di Fazio, I, Turla, M, Cotelli, M, Volta, G, Bigni, B, Bilotti, G, Vollaro, S, Rozzini, R, Boffelli, S, Cappuccio, M, Conti, M, Guizzetti, G, Defanti, C, Mirabile, D, Fascendini, S, Manzoni, L, Salvi, G, Belotti, G, Cavaliere, S, Fiacco, F, Valente, L, Ciccone, A, Lanari, A, Selletti, L, Palmerini, F, Avanzi, S, Vezzadini, G, Boccardi M., Altomare D., Ferrari C., Festari C., Antelmi L., Pievani M., Tarallo A., Muscio C., Guerra U. P., Paghera B., Padovani A., Frisoni G. B., Zanetti O., Anzola G. P., Bertocchi M., Chito E., Galluzzi S., Geroldi C., Lussignoli G., Mattioli F., Moretti D., Pizzocaro C., Borroni B., Rozzini L., Prelle A., Gennuso M., Villani D., Raimondi M. C., Gentile S., Bellelli G., Morandi A., Turco R., Bellandi D., Carbone P., Abruzzi L., Bettoni L., Bianchetti A., Facchi E., Di Fazio I., Turla M., Cotelli M. S., Volta G. D., Bigni B., Bilotti G., Vollaro S., Rozzini R., Boffelli S., Cappuccio M., Conti M. Z., Guizzetti G., Defanti C., Mirabile D., Fascendini S., Manzoni L., Salvi G. P., Belotti G., Cavaliere S., Fiacco F., Valente L., Ciccone A., Lanari A., Selletti L., Palmerini F., Avanzi S., Vezzadini G., Boccardi, M, Altomare, D, Ferrari, C, Festari, C, Antelmi, L, Pievani, M, Tarallo, A, Muscio, C, Guerra, U, Paghera, B, Padovani, A, Frisoni, G, Zanetti, O, Anzola, G, Bertocchi, M, Chito, E, Galluzzi, S, Geroldi, C, Lussignoli, G, Mattioli, F, Moretti, D, Pizzocaro, C, Borroni, B, Rozzini, L, Prelle, A, Gennuso, M, Villani, D, Raimondi, M, Gentile, S, Bellelli, G, Morandi, A, Turco, R, Bellandi, D, Carbone, P, Abruzzi, L, Bettoni, L, Bianchetti, A, Facchi, E, Di Fazio, I, Turla, M, Cotelli, M, Volta, G, Bigni, B, Bilotti, G, Vollaro, S, Rozzini, R, Boffelli, S, Cappuccio, M, Conti, M, Guizzetti, G, Defanti, C, Mirabile, D, Fascendini, S, Manzoni, L, Salvi, G, Belotti, G, Cavaliere, S, Fiacco, F, Valente, L, Ciccone, A, Lanari, A, Selletti, L, Palmerini, F, Avanzi, S, Vezzadini, G, Boccardi M., Altomare D., Ferrari C., Festari C., Antelmi L., Pievani M., Tarallo A., Muscio C., Guerra U. P., Paghera B., Padovani A., Frisoni G. B., Zanetti O., Anzola G. P., Bertocchi M., Chito E., Galluzzi S., Geroldi C., Lussignoli G., Mattioli F., Moretti D., Pizzocaro C., Borroni B., Rozzini L., Prelle A., Gennuso M., Villani D., Raimondi M. C., Gentile S., Bellelli G., Morandi A., Turco R., Bellandi D., Carbone P., Abruzzi L., Bettoni L., Bianchetti A., Facchi E., Di Fazio I., Turla M., Cotelli M. S., Volta G. D., Bigni B., Bilotti G., Vollaro S., Rozzini R., Boffelli S., Cappuccio M., Conti M. Z., Guizzetti G., Defanti C., Mirabile D., Fascendini S., Manzoni L., Salvi G. P., Belotti G., Cavaliere S., Fiacco F., Valente L., Ciccone A., Lanari A., Selletti L., Palmerini F., Avanzi S., and Vezzadini G.

Abstract

Background: Beliefs of dementia experts about the pathogenic role of amyloid in Alzheimer's disease (AD) may affect the use of amyloid positron emission tomography (PET). Objective:To assess the role attributed to amyloid in AD pathogenesis by Italian dementia experts, and whether this modulates the impact of amyloid PET results in their diagnostic workup. Methods: 22 dementia experts rated their beliefs about the pathogenic role of amyloid. Then, we asked them to rate the probability of change in diagnosis based on the result of amyloid PET for 7 case vignettes, depicting patients who initially received a diagnosis based on a comprehensive workup and later received amyloid PET results consistent or inconsistent with the clinical picture. Results: 55% of the experts assigned a dominant role to amyloid, and 32% attributed a similar role to amyloid and tau in AD pathogenesis. The probability of change in diagnosis ranged from 17% (SD = 21.6) for cases with consistent to 51% (SD = 34) for cases with inconsistent PET versus clinical data. Diagnostic change was not biased by the clinicians' beliefs about AD pathogenesis. Conclusions: This work supports an unbiased interpretation of amyloid PET across different beliefs about the pathogenic role of amyloid, and a belief -independent reluctance to change diagnosis in cases where change is expected and recommended. (C) 2015 S. Karger AG, Basel

Published
2016

23. Assessment of the incremental diagnostic value of florbetapir F 18 imaging in patients with cognitive impairment: The incremental diagnostic value of amyloid PET with [18F]-florbetapir (INDIA-FBP) study

Author

Boccardi, M, Altomare, D, Ferrari, C, Festari, C, Guerra, U, Paghera, B, Pizzocaro, C, Lussignoli, G, Geroldi, C, Zanetti, O, Cotelli, M, Turla, M, Borroni, B, Rozzini, L, Mirabile, D, Defanti, C, Gennuso, M, Prelle, A, Gentile, S, Morandi, A, Vollaro, S, Volta, G, Bianchetti, A, Conti, M, Cappuccio, M, Carbone, P, Bellandi, D, Abruzzi, L, Bettoni, L, Villani, D, Raimondi, M, Lanari, A, Ciccone, A, Facchi, E, Di Fazio, I, Rozzini, R, Boffelli, S, Manzoni, L, Salvi, G, Cavaliere, S, Belotti, G, Avanzi, S, Pasqualetti, P, Muscio, C, Padovani, A, Frisoni, G, Antelmi, L, Galluzzi, S, Pievani, M, Redolfi, A, Tarallo, A, Arora, A, Bertocchi, M, Chito, E, Moretti, D, Giubbini, R, Rodella, C, Camoni, L, Massetti, V, Andreoli, M, Bellelli, G, Fascendini, S, Mattioli, F, Turco, R, Vezzadini, G, Raimondi, V, Mondini, S, Zanacchi, E, Grigolo, M, Pezzini, A, Bilotti, G, Bigni, B, Zavarise, P, Ngonga, G, Anzola, G, Turrone, R, Guizzetti, G, Zanetti, M, Boccardi M., Altomare D., Ferrari C., Festari C., Guerra U. P., Paghera B., Pizzocaro C., Lussignoli G., Geroldi C., Zanetti O., Cotelli M. S., Turla M., Borroni B., Rozzini L., Mirabile D., Defanti C., Gennuso M., Prelle A., Gentile S., Morandi A., Vollaro S., Volta G. D., Bianchetti A., Conti M. Z., Cappuccio M., Carbone P., Bellandi D., Abruzzi L., Bettoni L., Villani D., Raimondi M. C., Lanari A., Ciccone A., Facchi E., Di Fazio I., Rozzini R., Boffelli S., Manzoni L., Salvi G. P., Cavaliere S., Belotti G., Avanzi S., Pasqualetti P., Muscio C., Padovani A., Frisoni G. B., Antelmi L., Galluzzi S., Pievani M., Redolfi A., Tarallo A., Arora A., Bertocchi M., Chito E., Moretti D. V., Giubbini R., Rodella C., Camoni L., Massetti V., Andreoli M., Bellelli G., Fascendini S., Mattioli F., Turco R., Vezzadini G., Raimondi V., Mondini S., Zanacchi E. C., Grigolo M., Pezzini A., Bilotti G., Bigni B., Zavarise P., Ngonga G., Anzola G. P., Turrone R., Guizzetti G., Zanetti M., Boccardi, M, Altomare, D, Ferrari, C, Festari, C, Guerra, U, Paghera, B, Pizzocaro, C, Lussignoli, G, Geroldi, C, Zanetti, O, Cotelli, M, Turla, M, Borroni, B, Rozzini, L, Mirabile, D, Defanti, C, Gennuso, M, Prelle, A, Gentile, S, Morandi, A, Vollaro, S, Volta, G, Bianchetti, A, Conti, M, Cappuccio, M, Carbone, P, Bellandi, D, Abruzzi, L, Bettoni, L, Villani, D, Raimondi, M, Lanari, A, Ciccone, A, Facchi, E, Di Fazio, I, Rozzini, R, Boffelli, S, Manzoni, L, Salvi, G, Cavaliere, S, Belotti, G, Avanzi, S, Pasqualetti, P, Muscio, C, Padovani, A, Frisoni, G, Antelmi, L, Galluzzi, S, Pievani, M, Redolfi, A, Tarallo, A, Arora, A, Bertocchi, M, Chito, E, Moretti, D, Giubbini, R, Rodella, C, Camoni, L, Massetti, V, Andreoli, M, Bellelli, G, Fascendini, S, Mattioli, F, Turco, R, Vezzadini, G, Raimondi, V, Mondini, S, Zanacchi, E, Grigolo, M, Pezzini, A, Bilotti, G, Bigni, B, Zavarise, P, Ngonga, G, Anzola, G, Turrone, R, Guizzetti, G, Zanetti, M, Boccardi M., Altomare D., Ferrari C., Festari C., Guerra U. P., Paghera B., Pizzocaro C., Lussignoli G., Geroldi C., Zanetti O., Cotelli M. S., Turla M., Borroni B., Rozzini L., Mirabile D., Defanti C., Gennuso M., Prelle A., Gentile S., Morandi A., Vollaro S., Volta G. D., Bianchetti A., Conti M. Z., Cappuccio M., Carbone P., Bellandi D., Abruzzi L., Bettoni L., Villani D., Raimondi M. C., Lanari A., Ciccone A., Facchi E., Di Fazio I., Rozzini R., Boffelli S., Manzoni L., Salvi G. P., Cavaliere S., Belotti G., Avanzi S., Pasqualetti P., Muscio C., Padovani A., Frisoni G. B., Antelmi L., Galluzzi S., Pievani M., Redolfi A., Tarallo A., Arora A., Bertocchi M., Chito E., Moretti D. V., Giubbini R., Rodella C., Camoni L., Massetti V., Andreoli M., Bellelli G., Fascendini S., Mattioli F., Turco R., Vezzadini G., Raimondi V., Mondini S., Zanacchi E. C., Grigolo M., Pezzini A., Bilotti G., Bigni B., Zavarise P., Ngonga G., Anzola G. P., Turrone R., Guizzetti G., and Zanetti M.

Abstract

IMPORTANCE Cerebral amyloidosis is a key abnormality in Alzheimer disease (AD) and can be detected in vivo with positron emission tomography (PET) ligands. Although amyloid PET has clearly demonstrated analytical validity, its clinical utility is debated. OBJECTIVE To evaluate the incremental diagnostic value of amyloid PET with florbetapir F 18 in addition to the routine clinical diagnostic assessment of patients evaluated for cognitive impairment. DESIGN, SETTING, AND PARTICIPANTS The Incremental Diagnostic Value ofAmyloid PET With [18F]-Florbetapir (INDIA-FBP) Study is a multicenter study involving 18 AD evaluation units from eastern Lombardy, Northern Italy, 228 consecutive adults with cognitive impairmentwere evaluated for AD and other causes of cognitive decline, with a prescan diagnostic confidence of AD between 15%and 85%. Participants underwent routine clinical and instrumental diagnostic assessment. A prescan diagnosiswas made, diagnostic confidencewas estimated, and drug treatmentwas provided. At the time of thisworkup, an amyloid PET/computed tomographic scanwas performed, and the resultwas communicated to physicians afterworkup completion. Physicianswere asked to review the diagnosis, diagnostic confidence, and treatment after the scan. The studywas conducted from August 5, 2013, to December 31, 2014. MAIN OUTCOMES AND MEASURES Primary outcomeswere prescan to postscan changes of diagnosis, diagnostic confidence, and treatment. RESULTS Of the 228 participants, 107 (46%) were male; mean (SD) age was 70.5 (7) years. Diagnostic change occurred in 46 patients (79%) having both a previous diagnosis of AD and an amyloid-negative scan (P < .001) and in 16 (53%) of those with non-AD diagnoses and an amyloid-positive scan (P < .001). Diagnostic confidence in AD diagnosis increased by 15.2%in amyloid-positive (P < .001; effect size Cohen d = 1.04) and decreased by 29.9%in amyloid-negative (P < .001; d = -1.19) scans. Acetylcholinesterase inhibitors and

Published
2016

24. Progress toward standardized diagnosis of vascular cognitive impairment: Guidelines from the Vascular Impairment of Cognition Classification Consensus Study

Author

Skrobot, Olivia A., Black, Sandra E., Chen, Christopher, DeCarli, Charles, Erkinjuntti, Timo, Ford, Gary A., Kalaria, Rajesh N., O'Brien, John, Pantoni, Leonardo, Pasquier, Florence, Roman, Gustavo C., Wallin, Anders, Sachdev, Perminder, Skoog, Ingmar, VICCCS Group, Taragano, F. E., Kril, J., Cavalieri, M., Jellinger, K. A., Kovacs, G. G., Engelborghs, S., Lafosse, C., Bertolucci, P. H., Brucki, S., Caramelli, P., De Toledo Ferraz Alves, T. C., Bocti, C., Fulop, T., Hogan, D. B., Hsiung, G. R., Kirk, A., Leach, L., Robillard, A., Sahlas, D. J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R. F., Korczyn, A. D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D. V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S. Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A. J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L. S., Ikram, M. K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A. J., López-Pousa, S., Martinez-Lage, P., Mataro, M., Börjesson-Hanson, A., Englund, E., Laukka, E. J., Qiu, C., Viitanen, M., Biessels, G. J., De Leeuw, F.-E., Den Heijer, T., Exalto, L. G., Kappelle, L. J., Prins, N. D., Richard, E., Schmand, B., Van Den Berg, E., Van Der Flier, W. M., Bilgic, B., Allan, L. M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P. J., Farrant, A., Fish, M., Harkness, K., Ince, P. G., Langhorne, P., Mann, J., Matthews, F. E., Mayer, P., Pendlebury, S. T., Perneczky, R., Peters, R., Smithard, D., Stephan, B. C., Swartz, J. E., Todd, S., Werring, D. J., Wijayasiri, S. N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J. N., Corrada, M. M., Crane, P. K., Diniz, B. S., Etcher, L., Fillit, H., Greenberg, S. M., Grinberg, L. T., Hurt, S. W., Lamar, M., Mielke, M., Ott, B. R., Perry, G., Powers, W. J., Ramos-Estebanez, C., Reed, B., Roberts, R. O., Romero, J. R., Saykin, A. J., Seshadri, S., Silbert, L., Stern, Yaakov, Zarow, C., Ben-Shlomo, Yoav, Passmore, Anthony P., Love, Seth, and Kehoe, Patrick G.

Subjects
Cognition disorders, Cognition disorders--Diagnosis, FOS: Clinical medicine, Neurosciences
Abstract

Introduction: Progress in understanding and management of vascular cognitive impairment (VCI) has been hampered by lack of consensus on diagnosis, reflecting the use of multiple different assessment protocols. A large multinational group of clinicians and researchers participated in a two-phase Vascular Impairment of Cognition Classification Consensus Study (VICCCS) to agree on principles (VICCCS-1) and protocols (VICCCS-2) for diagnosis of VCI. We present VICCCS-2. Methods: We used VICCCS-1 principles and published diagnostic guidelines as points of reference for an online Delphi survey aimed at achieving consensus on clinical diagnosis of VCI. Results: Six survey rounds comprising 65–79 participants agreed guidelines for diagnosis of VICCCS-revised mild and major forms of VCI and endorsed the National Institute of Neurological Disorders–Canadian Stroke Network neuropsychological assessment protocols and recommendations for imaging. Discussion: The VICCCS-2 suggests standardized use of the National Institute of Neurological Disorders–Canadian Stroke Network recommendations on neuropsychological and imaging assessment for diagnosis of VCI so as to promote research collaboration.

Published
2018
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25. Biomarker Based and Individualized Prognosis for Patients with Mild Cognitive Impairment: Towards a Personalized Medicine Approach for AD

Author

van Maurik, Ingrid, primary, Bos, Isabelle, additional, Vos, Stephanie J., additional, Bouwman, Femke H., additional, Teunissen, Charlotte E., additional, Scheltens, Philip, additional, Barkhof, Frederik, additional, Frolich, Lutz, additional, Kornhuber, Johannes, additional, Wiltfang, Jens, additional, Maier, Wolfgang, additional, Peters, Oliver, additional, Ruther, E., additional, Nobili, Flavio, additional, Frisoni, Giovanni, additional, Spiru, Luiza, additional, Freund-Levi, Yvonne, additional, Wallin, Asa K., additional, Hampel, Harald, additional, Soininen, Hilkka, additional, Tsolaki, M., additional, Verhey, F., additional, Simmons, Andy, additional, Kloszewska, I., additional, Mecocci, Patrizia, additional, Vellas, Bruno, additional, Lovestone, Simon, additional, Galluzzi, S., additional, Herukka, Sanna-Kaisa, additional, Santana, Isabel, additional, Baldeiras, Ines, additional, de Mendonça, A., additional, Silva, Dina, additional, Chetelat, G., additional, Egret, S., additional, Palmqvist, Sebastian, additional, Hansson, Oskar, additional, Visser, Pieter-Jelle, additional, Berkhof, Johannes, additional, and van der Flier, Wiesje M., additional

Published
2019
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26. Do Beliefs about the Pathogenetic Role of Amyloid Affect the Interpretation of Amyloid PET in the Clinic

Author

Boccardi M., Altomare D., Ferrari C., Festari C., Antelmi L., Pievani M., Tarallo A., Muscio C., Guerra U. P., Paghera B., Padovani A., Frisoni G. B., Zanetti O., Anzola G. P., Bertocchi M., Chito E., Galluzzi S., Geroldi C., Lussignoli G., Mattioli F., Moretti D., Pizzocaro C., Borroni B., Rozzini L., Prelle A., Gennuso M., Villani D., Raimondi M. C., Gentile S., Bellelli G., Morandi A., Turco R., Bellandi D., Carbone P., Abruzzi L., Bettoni L., Bianchetti A., Facchi E., Di Fazio I., Turla M., Cotelli M. S., Volta G. D., Bigni B., Bilotti G., Vollaro S., Rozzini R., Boffelli S., Cappuccio M., Conti M. Z., Guizzetti G., Defanti C., Mirabile D., Fascendini S., Manzoni L., Salvi G. P., Belotti G., Cavaliere S., Fiacco F., Valente L., Ciccone A., Lanari A., Selletti L., Palmerini F., Avanzi S., Vezzadini G., Boccardi, M, Altomare, D, Ferrari, C, Festari, C, Antelmi, L, Pievani, M, Tarallo, A, Muscio, C, Guerra, U, Paghera, B, Padovani, A, Frisoni, G, Zanetti, O, Anzola, G, Bertocchi, M, Chito, E, Galluzzi, S, Geroldi, C, Lussignoli, G, Mattioli, F, Moretti, D, Pizzocaro, C, Borroni, B, Rozzini, L, Prelle, A, Gennuso, M, Villani, D, Raimondi, M, Gentile, S, Bellelli, G, Morandi, A, Turco, R, Bellandi, D, Carbone, P, Abruzzi, L, Bettoni, L, Bianchetti, A, Facchi, E, Di Fazio, I, Turla, M, Cotelli, M, Volta, G, Bigni, B, Bilotti, G, Vollaro, S, Rozzini, R, Boffelli, S, Cappuccio, M, Conti, M, Guizzetti, G, Defanti, C, Mirabile, D, Fascendini, S, Manzoni, L, Salvi, G, Belotti, G, Cavaliere, S, Fiacco, F, Valente, L, Ciccone, A, Lanari, A, Selletti, L, Palmerini, F, Avanzi, S, and Vezzadini, G

Subjects
0301 basic medicine, Amyloid, Attitude of Health Personnel, Tau Proteins/metabolism, Amyloid pet, tau Proteins, Pilot Projects, Disease, Affect (psychology), Amyloid/metabolism, Diagnosis, Differential, 03 medical and health sciences, ddc:616.89, Alzheimer's disease pathogenesis, Amyloid positron emission tomography, Differential diagnosis, Incremental diagnostic value, 0302 clinical medicine, Neuroimaging, Positron-Emission Tomography/psychology, Alzheimer Disease, Physicians, Physicians/psychology, mental disorders, Diagnosis, Medicine, Dementia, Humans, business.industry, Alzheimer Disease/diagnosis/diagnostic imaging/metabolism, medicine.disease, eye diseases, 030104 developmental biology, Neurology, Italy, Positron-Emission Tomography, Differential, sense organs, Neurology (clinical), Alzheimer's disease, business, Neuroscience, 030217 neurology & neurosurgery
Abstract

Background: Beliefs of dementia experts about the pathogenic role of amyloid in Alzheimer's disease (AD) may affect the use of amyloid positron emission tomography (PET). Objective: To assess the role attributed to amyloid in AD pathogenesis by Italian dementia experts, and whether this modulates the impact of amyloid PET results in their diagnostic workup. Methods: 22 dementia experts rated their beliefs about the pathogenic role of amyloid. Then, we asked them to rate the probability of change in diagnosis based on the result of amyloid PET for 7 case vignettes, depicting patients who initially received a diagnosis based on a comprehensive workup and later received amyloid PET results consistent or inconsistent with the clinical picture. Results: 55% of the experts assigned a dominant role to amyloid, and 32% attributed a similar role to amyloid and tau in AD pathogenesis. The probability of change in diagnosis ranged from 17% (SD = 21.6) for cases with consistent to 51% (SD = 34) for cases with inconsistent PET versus clinical data. Diagnostic change was not biased by the clinicians' beliefs about AD pathogenesis. Conclusions: This work supports an unbiased interpretation of amyloid PET across different beliefs about the pathogenic role of amyloid, and a belief-independent reluctance to change diagnosis in cases where change is expected and recommended.

Published
2016

27. Association of postoperative delirium with markers of neurodegeneration and brain amyloidosis: a pilot study

Author

Rolandi, E, Cavedo, E, Pievani, M, Galluzzi, S, Ribaldi, F, Buckley, C, Cunningham, C, Guerra, U, Musarra, M, Morzenti, S, Magnaldi, S, Patassini, M, Terragnoli, F, Matascioli, L, Franzoni, S, Annoni, G, Carnevali, L, Bellelli, G, Frisoni, G, Rolandi, E, Cavedo, E, Pievani, M, Galluzzi, S, Ribaldi, F, Buckley, C, Cunningham, C, Guerra, U, Musarra, M, Morzenti, S, Magnaldi, S, Patassini, M, Terragnoli, F, Matascioli, L, Franzoni, S, Annoni, G, Carnevali, L, Bellelli, G, and Frisoni, G

Abstract

The aim of the study was to investigate the association between postoperative delirium (POD) and in vivo markers of Alzheimer's disease pathology in nondemented hip fracture surgery patients. POD was assessed with the Confusion Assessment Method. Amyloid load was quantified on 18F-Flutemetamol positron emission tomography images as standardized uptake value ratio. Secondary outcome measures were gray matter volumes, white matter integrity, and functional connectivity at rest. All the patients with POD (POD+, N = 5) were amyloid negative (standardized uptake value ratio <0.59), whereas 6 out of 11 patients without POD (POD−) showed brain amyloid positivity. POD+ compared to POD− displayed: lower gray matter volumes in the amygdala (p = 0.003), in the middle temporal gyrus and in the anterior cingulate cortex (p < 0.001), increased diffusivity in the genu of the corpus callosum and in the anterior corona radiata (p < 0.05), and higher functional connectivity within the default mode network (p < 0.001). POD patients showed altered gray and white matter integrity in the fronto-limbic regions in absence of brain amyloidosis. Based on this preliminary investigation, delirium pathophysiology might be independent of Alzheimer's disease. Future studies on larger samples are needed to confirm this hypothesis.

Published
2018

28. Progress toward standardized diagnosis of vascular cognitive impairment: Guidelines from the Vascular Impairment of Cognition Classification Consensus Study

Author

Skrobot, O. A., Black, S. E., Chen, C., Decarli, C., Erkinjuntti, T., Ford, G. A., Kalaria, R. N., O'Brien, J., Pantoni, L., Pasquier, F., Roman, G. C., Wallin, A., Sachdev, P., Skoog, I., Taragano, F. E., Kril, J., Cavalieri, M., Jellinger, K. A., Kovacs, G. G., Engelborghs, S., Lafosse, C., Bertolucci, P. H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T. C., Bocti, C., Fulop, T., Hogan, D. B., Hsiung, G. R., Kirk, A., Leach, L., Robillard, A., Sahlas, D. J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R. F., Korczyn, A. D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, Guido, Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D. V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S. Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A. J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L. S., Ikram, M. K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A. J., Lopez-Pousa, S., Martinez-Lage, P., Mataro, M., Borjesson-Hanson, A., Englund, E., Laukka, E. J., Qiu, C., Viitanen, M., Biessels, G. J., de Leeuw, F. -E., den Heijer, T., Exalto, L. G., Kappelle, L. J., Prins, N. D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W. M., Bilgic, B., Allan, L. M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P. J., Farrant, A., Fish, M., Harkness, K., Ince, P. G., Langhorne, P., Mann, J., Matthews, F. E., Mayer, P., Pendlebury, S. T., Perneczky, R., Peters, R., Smithard, D., Stephan, B. C., Swartz, J. E., Todd, S., Werring, D. J., Wijayasiri, S. N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J. N., Corrada, M. M., Crane, P. K., Diniz, B. S., Etcher, L., Fillit, H., Greenberg, S. M., Grinberg, L. T., Hurt, S. W., Lamar, M., Mielke, M., Ott, B. R., Perry, G., Powers, W. J., Ramos-Estebanez, C., Reed, B., Roberts, R. O., Romero, J. R., Saykin, A. J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Ben-Shlomo, Y., Passmore, A. P., Love, S., Kehoe, P. G., Gainotti G., Skrobot, O. A., Black, S. E., Chen, C., Decarli, C., Erkinjuntti, T., Ford, G. A., Kalaria, R. N., O'Brien, J., Pantoni, L., Pasquier, F., Roman, G. C., Wallin, A., Sachdev, P., Skoog, I., Taragano, F. E., Kril, J., Cavalieri, M., Jellinger, K. A., Kovacs, G. G., Engelborghs, S., Lafosse, C., Bertolucci, P. H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T. C., Bocti, C., Fulop, T., Hogan, D. B., Hsiung, G. R., Kirk, A., Leach, L., Robillard, A., Sahlas, D. J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R. F., Korczyn, A. D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, Guido, Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D. V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S. Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A. J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L. S., Ikram, M. K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A. J., Lopez-Pousa, S., Martinez-Lage, P., Mataro, M., Borjesson-Hanson, A., Englund, E., Laukka, E. J., Qiu, C., Viitanen, M., Biessels, G. J., de Leeuw, F. -E., den Heijer, T., Exalto, L. G., Kappelle, L. J., Prins, N. D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W. M., Bilgic, B., Allan, L. M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P. J., Farrant, A., Fish, M., Harkness, K., Ince, P. G., Langhorne, P., Mann, J., Matthews, F. E., Mayer, P., Pendlebury, S. T., Perneczky, R., Peters, R., Smithard, D., Stephan, B. C., Swartz, J. E., Todd, S., Werring, D. J., Wijayasiri, S. N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J. N., Corrada, M. M., Crane, P. K., Diniz, B. S., Etcher, L., Fillit, H., Greenberg, S. M., Grinberg, L. T., Hurt, S. W., Lamar, M., Mielke, M., Ott, B. R., Perry, G., Powers, W. J., Ramos-Estebanez, C., Reed, B., Roberts, R. O., Romero, J. R., Saykin, A. J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Ben-Shlomo, Y., Passmore, A. P., Love, S., Kehoe, P. G., and Gainotti G.

Abstract

Introduction: Progress in understanding and management of vascular cognitive impairment (VCI) has been hampered by lack of consensus on diagnosis, reflecting the use of multiple different assessment protocols. A large multinational group of clinicians and researchers participated in a two-phase Vascular Impairment of Cognition Classification Consensus Study (VICCCS) to agree on principles (VICCCS-1) and protocols (VICCCS-2) for diagnosis of VCI. We present VICCCS-2. Methods: We used VICCCS-1 principles and published diagnostic guidelines as points of reference for an online Delphi survey aimed at achieving consensus on clinical diagnosis of VCI. Results: Six survey rounds comprising 65–79 participants agreed guidelines for diagnosis of VICCCS-revised mild and major forms of VCI and endorsed the National Institute of Neurological Disorders–Canadian Stroke Network neuropsychological assessment protocols and recommendations for imaging. Discussion: The VICCCS-2 suggests standardized use of the National Institute of Neurological Disorders–Canadian Stroke Network recommendations on neuropsychological and imaging assessment for diagnosis of VCI so as to promote research collaboration.

Published
2018

29. The impact of automated hippocampal volumetry on diagnostic confidence in patients with suspected Alzheimer's disease: A European Alzheimer's Disease Consortium study

Author

Bosco, P. Redolfi, A. Bocchetta, M. Ferrari, C. Mega, A. Galluzzi, S. Austin, M. Chincarini, A. Collins, D.L. Duchesne, S. Maréchal, B. Roche, A. Sensi, F. Wolz, R. Alegret, M. Assal, F. Balasa, M. Bastin, C. Bougea, A. Emek-Savaş, D.D. Engelborghs, S. Grimmer, T. Grosu, G. Kramberger, M.G. Lawlor, B. Mandic Stojmenovic, G. Marinescu, M. Mecocci, P. Molinuevo, J.L. Morais, R. Niemantsverdriet, E. Nobili, F. Ntovas, K. O'Dwyer, S. Paraskevas, G.P. Pelini, L. Picco, A. Salmon, E. Santana, I. Sotolongo-Grau, O. Spiru, L. Stefanova, E. Popovic, K.S. Tsolaki, M. Yener, G.G. Zekry, D. Frisoni, G.B.

Abstract

Introduction Hippocampal volume is a core biomarker of Alzheimer's disease (AD). However, its contribution over the standard diagnostic workup is unclear. Methods Three hundred fifty-six patients, under clinical evaluation for cognitive impairment, with suspected AD and Mini–Mental State Examination ≥20, were recruited across 17 European memory clinics. After the traditional diagnostic workup, diagnostic confidence of AD pathology (DCAD) was estimated by the physicians in charge. The latter were provided with the results of automated hippocampal volumetry in standardized format and DCAD was reassessed. Results An increment of one interquartile range in hippocampal volume was associated with a mean change of DCAD of −8.0% (95% credible interval: [−11.5, −5.0]). Automated hippocampal volumetry showed a statistically significant impact on DCAD beyond the contributions of neuropsychology, 18F-fluorodeoxyglucose positron emission tomography/single-photon emission computed tomography, and cerebrospinal fluid markers (−8.5, CrI: [−11.5, −5.6]; −14.1, CrI: [−19.3, −8.8]; −10.6, CrI: [−14.6, −6.1], respectively). Discussion There is a measurable effect of hippocampal volume on DCAD even when used on top of the traditional diagnostic workup. © 2017 the Alzheimer's Association

Published
2017

30. The Vascular Impairment of Cognition Classification Consensus Study

Author

Skrobot, O. A., Love, S., Kehoe, P. G., O'Brien, J., Black, S., Chen, C., DeCarli, C., Erkinjuntti, T., Ford, G. A., Kalaria, R. N., Pantoni, L., Pasquier, F., Roman, G. C., Wallin, A., Sachdev, P., Kril, J., Skoog, I., Ben-Shlomo, Y., Passmore, A. P., Engelborghs, S., Lafosse, C., Bertolucci, P. H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T. C., Bocti, C., Fulop, T., Hogan, D. B., Hsiung, G. R., Kirk, A., Leach, L., Robillard, A., Sahlas, D. J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R. F., Korczyn, A. D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., DI Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D. V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S. Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A. J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L. S., Ikram, M. K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A. J., Lopez-Pousa, S., Martinez-Lage, P., Mataro, M., Borjesson-Hanson, A., Englund, E., Laukka, E. J., Qiu, C., Viitanen, M., Biessels, G. J., de Leeuw, F. -E., den Heijer, T., Exalto, L. G., Kappelle, L. J., Prins, N. D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W. M., Bilgic, B., Allan, L. M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P. J., Farrant, A., Fish, M., Harkness, K., Ince, P. G., Langhorne, P., Mann, J., Matthews, F. E., Mayer, P., Pendlebury, S. T., Perneczky, R., Peters, R., Smithard, D., Stephan, B. C., Swartz, J. E., Todd, S., Werring, D. J., Wijayasiri, S. N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J. N., Corrada, M. M., Crane, P. K., Diniz, B. S., Etcher, L., Fillit, H., Greenberg, S. M., Grinberg, L. T., Hurt, S. W., Lamar, M., Mielke, M., Ott, B. R., Perry, G., Powers, W. J., Ramos-Estebanez, C., Reed, B., Roberts, R. O., Romero, J. R., Saykin, A. J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Gainotti G., Logroscino G. (ORCID:0000-0003-1301-5343), Skrobot, O. A., Love, S., Kehoe, P. G., O'Brien, J., Black, S., Chen, C., DeCarli, C., Erkinjuntti, T., Ford, G. A., Kalaria, R. N., Pantoni, L., Pasquier, F., Roman, G. C., Wallin, A., Sachdev, P., Kril, J., Skoog, I., Ben-Shlomo, Y., Passmore, A. P., Engelborghs, S., Lafosse, C., Bertolucci, P. H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T. C., Bocti, C., Fulop, T., Hogan, D. B., Hsiung, G. R., Kirk, A., Leach, L., Robillard, A., Sahlas, D. J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R. F., Korczyn, A. D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., DI Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D. V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S. Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A. J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L. S., Ikram, M. K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A. J., Lopez-Pousa, S., Martinez-Lage, P., Mataro, M., Borjesson-Hanson, A., Englund, E., Laukka, E. J., Qiu, C., Viitanen, M., Biessels, G. J., de Leeuw, F. -E., den Heijer, T., Exalto, L. G., Kappelle, L. J., Prins, N. D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W. M., Bilgic, B., Allan, L. M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P. J., Farrant, A., Fish, M., Harkness, K., Ince, P. G., Langhorne, P., Mann, J., Matthews, F. E., Mayer, P., Pendlebury, S. T., Perneczky, R., Peters, R., Smithard, D., Stephan, B. C., Swartz, J. E., Todd, S., Werring, D. J., Wijayasiri, S. N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J. N., Corrada, M. M., Crane, P. K., Diniz, B. S., Etcher, L., Fillit, H., Greenberg, S. M., Grinberg, L. T., Hurt, S. W., Lamar, M., Mielke, M., Ott, B. R., Perry, G., Powers, W. J., Ramos-Estebanez, C., Reed, B., Roberts, R. O., Romero, J. R., Saykin, A. J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Gainotti G., and Logroscino G. (ORCID:0000-0003-1301-5343)

Abstract

Introduction Numerous diagnostic criteria have tried to tackle the variability in clinical manifestations and problematic diagnosis of vascular cognitive impairment (VCI) but none have been universally accepted. These criteria have not been readily comparable, impacting on clinical diagnosis rates and in turn prevalence estimates, research, and treatment. Methods The Vascular Impairment of Cognition Classification Consensus Study (VICCCS) involved participants (81% academic researchers) from 27 countries in an online Delphi consensus study. Participants reviewed previously proposed concepts to develop new guidelines. Results VICCCS had a mean of 122 (98–153) respondents across the study and a 67% threshold to represent consensus. VICCCS redefined VCI including classification of mild and major forms of VCI and subtypes. It proposes new standardized VCI-associated terminology and future research priorities to address gaps in current knowledge. Discussion VICCCS proposes a consensus-based updated conceptualization of VCI intended to facilitate standardization in research.

Published
2017

31. Hippocampal atrophy in people with memory deficits: results from the population-based IPREA study

Author

Ferrarini L, van Lew B, Reiber JH, Gandin C, Galluzzo L, Scafato E, FrisoniGB, Milles J, Pievani M, IPREA Working Group: Scafato E, Farchi G, Giampaoli S, Mariotti S, Ghirini S, Martire S, Di Pasquale L, Maggi S, Crepaldi G, Enzi G, Gallina P, Inzitari D, Baldereschi M, Di Carlo A, Frisoni GB, Galluzzi S, Gandolfo C, Conti M, Postacchini D, Cruciani G, Giuli C, Capurso A, Solfrizzi V, Panza F, Rengo F, ABETE, PASQUALE, Motta M, Negrini R, Forti P, Tabanelli P, Cocchi A, Zuccal G, Cacciatore F, Calabrese C, Sica G, Estraneo A, Foundation SM, Consoli D, Naso F, Torcasio G, Valentia V, Mecocci P, Rinaldi P, Serafini V, Senin U., Ferrarini, L, van Lew, B, Reiber, Jh, Gandin, C, Galluzzo, L, Scafato, E, Frisonigb, Milles, J, Pievani, M, IPREA Working Group: Scafato, E, Farchi, G, Giampaoli, S, Mariotti, S, Ghirini, S, Martire, S, Di Pasquale, L, Maggi, S, Crepaldi, G, Enzi, G, Gallina, P, Inzitari, D, Baldereschi, M, Di Carlo, A, Frisoni, Gb, Galluzzi, S, Gandolfo, C, Conti, M, Postacchini, D, Cruciani, G, Giuli, C, Capurso, A, Solfrizzi, V, Panza, F, Rengo, F, Abete, Pasquale, Motta, M, Negrini, R, Forti, P, Tabanelli, P, Cocchi, A, Zuccal, G, Cacciatore, F, Calabrese, C, Sica, G, Estraneo, A, Foundation, Sm, Consoli, D, Naso, F, Torcasio, G, Valentia, V, Mecocci, P, Rinaldi, P, Serafini, V, and Senin, U.

Subjects
medicine.medical_specialty, education.field_of_study, business.industry, Population, Not Otherwise Specified, Hippocampus, Audiology, Hippocampal formation, medicine.disease, population-based, memory, Psychiatry and Mental health, Clinical Psychology, Atrophy, hippocampal atrophy, medicine, Dementia, Memory impairment, Geriatrics and Gerontology, Alzheimer's disease, business, education, Gerontology, MRI
Abstract

Background:Clinical studies have shown that hippocampal atrophy is present before dementia in people with memory deficits and can predict dementia development. The question remains whether this association holds in the general population. This is of interest for the possible use of hippocampal atrophy to screen population for preventive interventions. The aim of this study was to assess hippocampal volume and shape abnormalities in elderly adults with memory deficits in a cross-sectional population-based study.Methods:We included individuals participating in the Italian Project on the Epidemiology of Alzheimer Disease (IPREA) study: 75 cognitively normal individuals (HC), 31 individuals with memory deficits (MEM), and 31 individuals with memory deficits not otherwise specified (MEMnos). Hippocampal volumes and shape were extracted through manual tracing and the growing and adaptive meshes (GAMEs) shape-modeling algorithm. We investigated between-group differences in hippocampal volume and shape, and correlations with memory deficits.Results:In MEM participants, hippocampal volumes were significantly smaller than in HC and were mildly associated with worse memory scores. Memory-associated shape changes mapped to the anterior hippocampus. Shape-based analysis detected no significant difference between MEM and HC, while MEMnos showed shape changes in the posterior hippocampus compared with HC and MEM groups.Conclusions:These findings support the discriminant validity of hippocampal volumetry as a biomarker of memory impairment in the general population. The detection of shape changes in MEMnos but not in MEM participants suggests that shape-based biomarkers might lack sensitivity to detect Alzheimer's-like pathology in the general population.

Published
2014

33. Impact of Biomarkers on Diagnostic Confidence in Clinical Assessment of Patients with Suspected Alzheimer's Disease and High Diagnostic Uncertainty

Author

Morais, R, EMEK SAVAŞ, DERYA DURUSU, Frisoni, GB, Zekry, D, YENER, GÖRSEV, Tsolaki, M, Popovic, KS, Stefanova, E, Spiru, L, Sotolongo Grau, O, Santana, I, Salmon, A, Picco, A, Pelini, L, Paraskevas, GP, Odwyer, S, Ntovas, K, Nobili, F, Niemantsverdriet, E, Molinuevo, JL, Mecocci, P, Marinescu, M, Mandic Stojmenovic, G, Lawlor, B, Kramberger, MG, Grosu, G, Grimmer, T, Gold, Gabriel, Giannakopoulos, Panteleimon, Engelborghs, S, Bougea, A, Bastin, C, Balasa, M, Assal, F, Galluzzi, S, Mega, A, Ferrari, C, Bocchetta, M, Redolfi, A, Bosco, P, Clinical sciences, and Neurology

Subjects
Medicine(all), biomarker, Alzheimer's disease
Published
2016

34. Prevalence of Vascular Risk Factors in Different Stages of Prodromal Alzheimer’s Disease and Its Influence on Cognitive Decline

Author

Bos, I., Vos, SJB, Kornhuber, Johannes, Wiltfang, J., Maier, W., Peters, O., Rüther, E., Engelborghs, Sebastiaan, Niemantsverdriet, Ellis, De Roeck, E.E., Tsolaki, Magda, Freud-Levi, Y., Johannsen, P., Vandenberghe, R., Lleó, A, Alcolea, D., Frisoni, Giovanni B, Galluzzi, S., Nobili, F., Morbelli, S., Drzezga, A., Didic, M., van Berckel, BNM, Salmon, E., Bastin, C., Dauby, S., Santana, I., Baldeiras, I., Mendoça, A., Silva, D., Wallin, A., Nordlund, A., Foskett, N., Coloma, P., Alexander, M., Wientzek-Fleischmann, A., Nevado-Holgado, Alejo J, Gungabissoon, U., Novak, G.P., Gordon, M.F., Wallin, A.K., Hampel, H., Soininen, H., Scheltens, P., Verhey, Frans R J, Visser, Pieter Jelle, Clinical sciences, and Neurology

Subjects
Medicine(all), vascular risk factor, cognitive decline, Alzheimer’s disease, Prodomal
Published
2016

35. The Vascular Impairment of Cognition Classification Consensus Study

Author

Skrobot, Olivia A., primary, O'Brien, John, additional, Black, Sandra, additional, Chen, Christopher, additional, DeCarli, Charles, additional, Erkinjuntti, Timo, additional, Ford, Gary A., additional, Kalaria, Rajesh N., additional, Pantoni, Leonardo, additional, Pasquier, Florence, additional, Roman, Gustavo C., additional, Wallin, Anders, additional, Sachdev, Perminder, additional, Skoog, Ingmar, additional, Taragano, F.E., additional, Kril, J., additional, Cavalieri, M., additional, Jellinger, K.A., additional, Kovacs, G.G., additional, Engelborghs, S., additional, Lafosse, C., additional, Bertolucci, P.H., additional, Brucki, S., additional, Caramelli, P., additional, Toledo Ferraz Alves, T.C., additional, Bocti, C., additional, Fulop, T., additional, Hogan, D.B., additional, Hsiung, G.R., additional, Kirk, A., additional, Leach, L., additional, Robillard, A., additional, Sahlas, D.J., additional, Guo, Q., additional, Tian, J., additional, Hokkanen, L., additional, Jokinen, H., additional, Benisty, S., additional, Deramecourt, V., additional, Hauw, J., additional, Lenoir, H., additional, Tsatali, M., additional, Tsolaki, M., additional, Sundar, U., additional, Coen, R.F., additional, Korczyn, A.D., additional, Altieri, M., additional, Baldereschi, M., additional, Caltagirone, C., additional, Caravaglios, G., additional, Di Carlo, A., additional, DI Piero, V., additional, Gainotti, G., additional, Galluzzi, S., additional, Logroscino, G., additional, Mecocci, P., additional, Moretti, D.V., additional, Padovani, A., additional, Fukui, T., additional, Ihara, M., additional, Mizuno, T., additional, Kim, S.Y., additional, Akinyemi, R., additional, Baiyewu, O., additional, Ogunniyi, A., additional, Szczudlik, A., additional, Bastos‐Leite, A.J., additional, Firmino, H., additional, Massano, J., additional, Verdelho, A., additional, Kruglov, L.S., additional, Ikram, M.K., additional, Kandiah, N., additional, Arana, E., additional, Barroso‐Ribal, J., additional, Calatayud, T., additional, Cruz‐Jentoft, A.J., additional, López‐Pousa, S., additional, Martinez‐Lage, P., additional, Mataro, M., additional, Börjesson‐Hanson, A., additional, Englund, E., additional, Laukka, E.J., additional, Qiu, C., additional, Viitanen, M., additional, Biessels, G.J., additional, Leeuw, F.‐E., additional, Heijer, T., additional, Exalto, L.G., additional, Kappelle, L.J., additional, Prins, N.D., additional, Richard, E., additional, Schmand, B., additional, Berg, E., additional, Flier, W.M., additional, Bilgic, B., additional, Allan, L.M., additional, Archer, J., additional, Attems, J., additional, Bayer, A., additional, Blackburn, D., additional, Brayne, C., additional, Bullock, R., additional, Connelly, P.J., additional, Farrant, A., additional, Fish, M., additional, Harkness, K., additional, Ince, P.G., additional, Langhorne, P., additional, Mann, J., additional, Matthews, F.E., additional, Mayer, P., additional, Pendlebury, S.T., additional, Perneczky, R., additional, Peters, R., additional, Smithard, D., additional, Stephan, B.C., additional, Swartz, J.E., additional, Todd, S., additional, Werring, D.J., additional, Wijayasiri, S.N., additional, Wilcock, G., additional, Zamboni, G., additional, Au, R., additional, Borson, S., additional, Bozoki, A., additional, Browndyke, J.N., additional, Corrada, M.M., additional, Crane, P.K., additional, Diniz, B.S., additional, Etcher, L., additional, Fillit, H., additional, Greenberg, S.M., additional, Grinberg, L.T., additional, Hurt, S.W., additional, Lamar, M., additional, Mielke, M., additional, Ott, B.R., additional, Perry, G., additional, Powers, W.J., additional, Ramos‐Estebanez, C., additional, Reed, B., additional, Roberts, R.O., additional, Romero, J.R., additional, Saykin, A.J., additional, Seshadri, S., additional, Silbert, L., additional, Stern, Y., additional, Zarow, C., additional, Ben‐Shlomo, Yoav, additional, Passmore, Anthony P., additional, Love, Seth, additional, and Kehoe, Patrick G., additional

Published
2016
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36. Interaction between education and clinical expression of Alzheimer's disease across European countries: an 18F-FDG PET study of the European Alzheimer's Disease Consortium (EADC)

Author

Buschiazzo, A., Frisoni, G., Galluzzi, S., Perneczky, R., Drzezga, A., van Berckel, B., Ossenkoppele, R., Guedj, E., Didic, M., Mecocci, P., Dottorini, M., Bauckneht, M., Sambuceti, G., Nobili, F., Morbelli, S., Buschiazzo, A., Frisoni, G., Galluzzi, S., Perneczky, R., Drzezga, A., van Berckel, B., Ossenkoppele, R., Guedj, E., Didic, M., Mecocci, P., Dottorini, M., Bauckneht, M., Sambuceti, G., Nobili, F., and Morbelli, S.

Published
2016

39. Prevalence of aging-associated cognitive decline in an Italian elderly population: Results from cross-sectional phase of Italian Project on Epidemiology of Alzheimer's disease (IPREA)

Author

Scafato E, Gandin C, Galluzzo L, Ghirini S, Cacciatore F, Capurso A, Solfrizzi V, Panza F, Cocchi A, Consoli D, Enzi G, Frisoni G, B, Gandolfo C, Giampaoli S, Inzitari D, Maggi S, Crepaldi G, Mariotti S, Mecocci P, Motta M, Negrini R, Postacchini D, Rengo F, Farchi G, Martire S, Gallina P, Baldereschi M, Di Carlo A, Conti M, Galluzzi S, Cruciani G, Giuli C, ABETE, PASQUALE, Forti P, Tabanelli P, Zuccalà G, Calabrese C, Sica G, Estraneo A, Naso F, Torcasio G, Rinaldi P, Serafini V, Senin U., Scafato, E, Gandin, C, Galluzzo, L, Ghirini, S, Cacciatore, F, Capurso, A, Solfrizzi, V, Panza, F, Cocchi, A, Consoli, D, Enzi, G, Frisoni, G, B, Gandolfo, C, Giampaoli, S, Inzitari, D, Maggi, S, Crepaldi, G, Mariotti, S, Mecocci, P, Motta, M, Negrini, R, Postacchini, D, Rengo, F, Farchi, G, Martire, S, Gallina, P, Baldereschi, M, Di Carlo, A, Conti, M, Galluzzi, S, Cruciani, G, Giuli, C, Abete, Pasquale, Forti, P, Tabanelli, P, Zuccalà, G, Calabrese, C, Sica, G, Estraneo, A, Naso, F, Torcasio, G, Rinaldi, P, Serafini, V, and Senin, U.

Abstract

Background and aims: The prevalence of the preclinical phase of dementia varies greatly, according to the diagnostic criteria and assessment procedures applied. The purpose of this study was to estimate the prevalence of cognitive impairment according to the Aging-Associated Cognitive Decline (AACD) diagnostic criteria in an Italian elderly population. Methods: In a multicenter community-based prospective study, 4785 Italian subjects aged 65-84 years, randomly selected from the registries of 12 Italian municipalities, were assessed by personal and informant interviews, physical and neurological examinations and an extensive neuropsychological battery. Results: Of these older subjects, 274 (9.2%) fulfilled all the AACD criteria, whereas 561 (18.8%) fulfilled only 3 of them (AACD-3). When the two groups diagnosed according to AACD criteria (AACD and AACD- 3) were merged, the prevalence was 28.0% (28.3% for men, 27.6% for women). Two other groups of subjects were also identified: a) Subjects with Objective evidence of Cognitive Decline without cognitive complaints (OCD), 508 (17.0%), i.e., subjects with documented neuropsychological deficits, although neither subjects nor informants reported cognitive complaints; and b) Subjects with Cognitive Complaints without objective demonstrable cognitive deficits (CC), 44 (1.5%), i.e., subjects and/or informants reported cognitive complaints without evidence of neuropsychological deficits. Thus, taking into account the additional OCD group, a total of 1343 persons with cognitive impairment without dementia (45.0%) was identified. Conclusions: On the basis of our results, we estimate that 45% of our population-based Italian sample aged 65-84 years had some kind of cognitive deficits without dementia.

Published
2010

41. Cross-sectional clinical, neuropsychological, neuroimaging, and neurophysiological characterization of mild cognitive impairment patients in WP5 PharmaCog/E-ADNI study

Author

Galluzzi, S., Marizzoni, M., Babiloni, C., Bartres-Faz, D., Blin, O., Bordet, R., Bosch, B., Anna, F., Didic, M., Farotti, L., Forloni, G., Jovicich, J., Marra, C., Marzano, N., Molinuevo, J. L., Nobili, F., Pariente, J., Parnetti, L., Payoux, P., Picco, A., Quaranta, D., Ranjeva, J. P., Roccatagliata, L., Rossini, P. M., Salvadori, N., Schonknecht, P., Andrea Soricelli, Tsolaki, M., Vecchio, F., Visser, P. J., Wiltfang, J., Frisoni, G. B., and Pharmacog, Consortium

Subjects
Medizin, ComputingMethodologies_GENERAL
Abstract

Poster Abstract

Published
2014

43. The use of biomarkers for the etiologic diagnosis of MCI in Europe: an EADC survey

Author

Bocchetta, M., Galluzzi, S., Kehoe, P.G., Aguera, E., Bernabei, R., Bullock, R., Ceccaldi, M., Dartigues, J.F., Mendonca, A. de, Didic, M., Eriksdotter, M., Felician, O., Frolich, L., Gertz, H.J., Hallikainen, M., Hasselbalch, S.G., Hausner, L., Heuser, I., Jessen, F., Jones, R.W., Kurz, A., Lawlor, B., Lleo, A., Martinez-Lage, P., Mecocci, P., Mehrabian, S., Monsch, A., Nobili, F., Nordberg, A., Olde Rikkert, M.G.M., Orgogozo, J.M., Pasquier, F., Peters, O., Salmon, E., Sanchez-Castellano, C., Santana, I., Sarazin, M., Traykov, L., Tsolaki, M., Visser, P.J., Wallin, A.K., Wilcock, G., Wilkinson, D., Wolf, H., Yener, G., Zekry, D., Frisoni, G.B., Bocchetta, M., Galluzzi, S., Kehoe, P.G., Aguera, E., Bernabei, R., Bullock, R., Ceccaldi, M., Dartigues, J.F., Mendonca, A. de, Didic, M., Eriksdotter, M., Felician, O., Frolich, L., Gertz, H.J., Hallikainen, M., Hasselbalch, S.G., Hausner, L., Heuser, I., Jessen, F., Jones, R.W., Kurz, A., Lawlor, B., Lleo, A., Martinez-Lage, P., Mecocci, P., Mehrabian, S., Monsch, A., Nobili, F., Nordberg, A., Olde Rikkert, M.G.M., Orgogozo, J.M., Pasquier, F., Peters, O., Salmon, E., Sanchez-Castellano, C., Santana, I., Sarazin, M., Traykov, L., Tsolaki, M., Visser, P.J., Wallin, A.K., Wilcock, G., Wilkinson, D., Wolf, H., Yener, G., Zekry, D., and Frisoni, G.B.

Abstract

Item does not contain fulltext, We investigated the use of Alzheimer's disease (AD) biomarkers in European Alzheimer's Disease Consortium centers and assessed their perceived usefulness for the etiologic diagnosis of mild cognitive impairment (MCI). We surveyed availability, frequency of use, and confidence in diagnostic usefulness of markers of brain amyloidosis (amyloid positron emission tomography [PET], cerebrospinal fluid [CSF] Abeta42) and neurodegeneration (medial temporal atrophy [MTA] on MR, fluorodeoxyglucose positron emission tomography [FDG-PET], CSF tau). The most frequently used biomarker is visually rated MTA (75% of the 37 responders reported using it "always/frequently") followed by CSF markers (22%), FDG-PET (16%), and amyloid-PET (3%). Only 45% of responders perceive MTA as contributing to diagnostic confidence, where the contribution was rated as "moderate". Seventy-nine percent of responders felt "very/extremely" comfortable delivering a diagnosis of MCI due to AD when both amyloid and neuronal injury biomarkers were abnormal (P < .02 versus any individual biomarker). Responders largely agreed that a combination of amyloidosis and neuronal injury biomarkers was a strongly indicative AD signature.

Published
2015

44. Diagnostic accuracy of markers for prodromal Alzheimer's disease in independent clinical series

Author

Prestia, Annapaola, Caroli, Anna, Herholz, Karl, Reiman, Eric, Chen, Kewei, Jagust, William J., Frisoni, Giovanni B, Amicucci, G., Archetti, S., Benussi, L., Binetti, G., Bocchio Chiavetto, L., Bonetti, M., Canu, E., Caobelli, F., Cavedo, E., Chittò, E., Costardi, D., Cotelli, M., Galluzzi, S., Gennarelli, Massimo, Geroldi, C., Ghidoni, R., Giubbini, Raffaele, Guerra, U. P., Kuffenschin, G., Lussignoli, G., Moretti, D., Orlandini, A., Paghera, B., Parapini, M., Paternicò, D., Porteri, C., Romano, M., Rosini, S., Scarpazza, C., Villa, I., Zanardini, Roberta, and Zanetti, O.

Subjects
Oncology, Male, Pathology, Time Factors, Databases, Factual, Epidemiology, Diagnostic accuracy, Disease, Hippocampal formation, Alzheimer's disease, Diagnostic test assessment, MCI, MRI, PET, Aged, Aged, 80 and over, Alzheimer Disease, Amyloid beta-Peptides, Biomarkers, Cognition Disorders, Disease Progression, Female, Fluorodeoxyglucose F18, Hippocampus, Humans, Magnetic Resonance Imaging, Middle Aged, Peptide Fragments, Positron-Emission Tomography, Sensitivity and Specificity, Statistics, Nonparametric, Cerebrospinal fluid, 80 and over, Health Policy, Medicine (all), Statistics, Psychiatry and Mental Health, Cohort, Biomarker (medicine), Psychology, medicine.medical_specialty, Article, Neurology (clinical), Developmental Neuroscience, Cellular and Molecular Neuroscience, Geriatrics and Gerontology, Databases, Neuroimaging, Internal medicine, medicine, Nonparametric, Factual, Memory clinic
Abstract

Objective To capitalize on data from different clinical series to compare sensitivity and specificity of individual biomarkers for predicting mild cognitive impairment (MCI) progression to Alzheimer's disease (AD). Methods Medial temporal atrophy, cortical hypometabolism, and cerebrospinal fluid biomarkers were assessed in 18 patients with mild cognitive impairment (MCI) with prodromal AD (pAD; conversion time, 26 ± 12 months) and 18 stable MCI (sMCI) patients from the Translational Outpatient Memory Clinic cohort, as well as in 24 pAD patients (conversion time, 36 ± 12 months) and 33 sMCI patients from the Alzheimer's Disease Neuroimaging Initiative cohort. Medial temporal atrophy was measured by manual, semi-automated, and automated hippocampal volumetry; cortical hypometabolism was measured using several indices of AD-related hypometabolism pattern; and cerebrospinal fluid markers were amyloid β (Aβ)42 and total tau protein concentrations. For each biomarker, sensitivity for pAD, specificity for sMCI, and diagnostic accuracy were computed. Results Sensitivity to predict MCI conversion to AD in the Alzheimer's Disease Neuroimaging Initiative and Translational Outpatient Memory Clinic cohorts was 79% and 94% based on Aβ42, 46% and 28% based on hippocampal volumes, 33% to 66% and 56% to 78% based on different hypometabolism indices, and 46% and 61% based on total tau levels, respectively. Specificity to exclude sMCI was 27% and 50% based on Aβ42, 76% and 94% based on hippocampal volumes, 58% to 67% and 55% to 83% based on different hypometabolism indices, and 61% and 83% based on total tau levels, respectively. Conclusions Current findings suggest that Aβ42 concentrations and hippocampal volumes may be used in combination to best identify pAD.

Published
2013

45. Volume of interest-based [18F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer's disease from healthy controls. A European Alzheimer's Disease Consortium (EADC) study

Author

Pagani, M., primary, De Carli, F., additional, Morbelli, S., additional, Öberg, J., additional, Chincarini, A., additional, Frisoni, G.B., additional, Galluzzi, S., additional, Perneczky, R., additional, Drzezga, A., additional, van Berckel, B.N.M., additional, Ossenkoppele, R., additional, Didic, M., additional, Guedj, E., additional, Brugnolo, A., additional, Picco, A., additional, Arnaldi, D., additional, Ferrara, M., additional, Buschiazzo, A., additional, Sambuceti, G., additional, and Nobili, F., additional

Published
2015
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46. Mild cognitive impairment with suspected non AD pathology (SNAP) : prediction of progression to dementia

Author

Caroli, A., Prestia, A., Galluzzi, S., Ferrari, C., van der Flier, W. M., Ossenkoppele, R., Van Berckel, B., Barkhof, F., Teunissen, C. E., Wall, Anders, Carter, S. F., Scholl, M., Choo, I. H., Grimmer, T., Nordberg, A., Scheltens, P., Drzezga, A., Frisoni, G. B., Caroli, A., Prestia, A., Galluzzi, S., Ferrari, C., van der Flier, W. M., Ossenkoppele, R., Van Berckel, B., Barkhof, F., Teunissen, C. E., Wall, Anders, Carter, S. F., Scholl, M., Choo, I. H., Grimmer, T., Nordberg, A., Scheltens, P., Drzezga, A., and Frisoni, G. B.

Published
2014

47. Multisite longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging of healthy elderly subjects

Author

Jovicich, J, Marizzoni, M, Bosch, B, Bartrés Faz, D, Arnold, J, Benninghoff, J, Wiltfang, J, Roccatagliata, L, Picco, A, Nobili, F, Blin, O, Bombois, S, Lopes, R, Bordet, R, Chanoine, V, Ranjeva, J, Didic, M, Gros Dagnac, H, Payoux, P, Zoccatelli, G, Alessandrini, F, Beltramello, A, Bargalló, N, Ferretti, A, Caulo, M, Aiello, M, Ragucci, M, Soricelli, A, Salvadori, N, Tarducci, R, Floridi, P, Tsolaki, M, Constantinidis, M, Drevelegas, A, Rossini, Paolo Maria, Marra, Camillo, Otto, J, Reiss Zimmermann, M, Hoffmann, K, Galluzzi, S, Frisoni, Gb, Rossini, Paolo Maria (ORCID:0000-0003-2665-534X), Marra, Camillo (ORCID:0000-0003-3994-4044), Jovicich, J, Marizzoni, M, Bosch, B, Bartrés Faz, D, Arnold, J, Benninghoff, J, Wiltfang, J, Roccatagliata, L, Picco, A, Nobili, F, Blin, O, Bombois, S, Lopes, R, Bordet, R, Chanoine, V, Ranjeva, J, Didic, M, Gros Dagnac, H, Payoux, P, Zoccatelli, G, Alessandrini, F, Beltramello, A, Bargalló, N, Ferretti, A, Caulo, M, Aiello, M, Ragucci, M, Soricelli, A, Salvadori, N, Tarducci, R, Floridi, P, Tsolaki, M, Constantinidis, M, Drevelegas, A, Rossini, Paolo Maria, Marra, Camillo, Otto, J, Reiss Zimmermann, M, Hoffmann, K, Galluzzi, S, Frisoni, Gb, Rossini, Paolo Maria (ORCID:0000-0003-2665-534X), and Marra, Camillo (ORCID:0000-0003-3994-4044)

Abstract

Large-scale longitudinal neuroimaging studies with diffusion imaging techniques are necessary to test and validate models of white matter neurophysiological processes that change in time, both in healthy and diseased brains. The predictive power of such longitudinal models will always be limited by the reproducibility of repeated measures acquired during different sessions. At present, there is limited quantitative knowledge about the across-session reproducibility of standard diffusion metrics in 3T multi-centric studies on subjects in stable conditions, in particular when using tract based spatial statistics and with elderly people. In this study we implemented a multi-site brain diffusion protocol in 10 clinical 3T MRI sites distributed across 4 countries in Europe (Italy, Germany, France and Greece) using vendor provided sequences from Siemens (Allegra, Trio Tim, Verio, Skyra, Biograph mMR), Philips (Achieva) and GE (HDxt) scanners. We acquired DTI data (2 × 2 × 2 mm(3), b = 700 s/mm(2), 5 b0 and 30 diffusion weighted volumes) of a group of healthy stable elderly subjects (5 subjects per site) in two separate sessions at least a week apart. For each subject and session four scalar diffusion metrics were considered: fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial (AD) diffusivity. The diffusion metrics from multiple subjects and sessions at each site were aligned to their common white matter skeleton using tract-based spatial statistics. The reproducibility at each MRI site was examined by looking at group averages of absolute changes relative to the mean (%) on various parameters: i) reproducibility of the signal-to-noise ratio (SNR) of the b0 images in centrum semiovale, ii) full brain test-retest differences of the diffusion metric maps on the white matter skeleton, iii) reproducibility of the diffusion metrics on atlas-based white matter ROIs on the white matter skeleton. Despite the differences of MRI scanner configuratio

Published
2014

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