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228 results on '"Didic, M."'

1. Semi-quantification and grading of amyloid PET: A project of the European Alzheimer's Disease Consortium (EADC)

Author

Chincarini, A., Peira, E., Morbelli, S., Pardini, M., Bauckneht, M., Arbizu, J., Castelo-Branco, M., Büsing, K.A., de Mendonça, A., Didic, M., Dottorini, M., Engelborghs, S., Ferrarese, C., Frisoni, G.B., Garibotto, V., Guedj, E., Hausner, L., Hugon, J., Verhaeghe, J., Mecocci, P., Musarra, M., Queneau, M., Riverol, M., Santana, I., Guerra, U.P., and Nobili, F.

Published
2019
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2. The repeatability of cognitive performance : a meta-analysis

Author

Cauchoix, M., Chow, P. K. Y., van Horik, J. O., Atance, C. M., Barbeau, E. J., Barragan-Jason, G., Bize, P., Boussard, A., Buechel, S. D., Cabirol, A., Cauchard, L., Claidière, N., Dalesman, S., Devaud, J. M., Didic, M., Doligez, B., Fagot, J., Fichtel, C., Henke-von der Malsburg, J., Hermer, E., Huber, L., Huebner, F., Kappeler, P. M., Klein, S., Langbein, J., Langley, E. J. G., Lea, S. E. G., Lihoreau, M., Lovlie, H., Matzel, L. D., Nakagawa, S., Nawroth, C., Oesterwind, S., Sauce, B., Smith, E. A., Sorato, E., Tebbich, S., Wallis, L. J., Whiteside, M. A., Wilkinson, A., Chaine, A. S., and Morand-Ferron, J.

Published
2018

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

Published
2015
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5. Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum

Author

Jansen, W.J. Janssen, O. Tijms, B.M. Vos, S.J.B. Ossenkoppele, R. Visser, P.J. Aarsland, D. Alcolea, D. Altomare, D. Von Arnim, C. Baiardi, S. Baldeiras, I. Barthel, H. Bateman, R.J. Van Berckel, B. Binette, A.P. Blennow, K. Boada, M. Boecker, H. Bottlaender, M. Den Braber, A. Brooks, D.J. Van Buchem, M.A. Camus, V. Carill, J.M. Cerman, J. Chen, K. Chételat, G. Chipi, E. Cohen, A.D. Daniels, A. Delarue, M. Didic, M. Drzezga, A. Dubois, B. Eckerström, M. Ekblad, L.L. Engelborghs, S. Epelbaum, S. Fagan, A.M. Fan, Y. Fladby, T. Fleisher, A.S. Van Der Flier, W.M. Förster, S. Fortea, J. Frederiksen, K.S. Freund-Levi, Y. Frings, L. Frisoni, G.B. Fröhlich, L. Gabryelewicz, T. Gertz, H.-J. Gill, K.D. Gkatzima, O. Gómez-Tortosa, E. Grimmer, T. Guedj, E. Habeck, C.G. Hampel, H. Handels, R. Hansson, O. Hausner, L. Hellwig, S. Heneka, M.T. Herukka, S.-K. Hildebrandt, H. Hodges, J. Hort, J. Huang, C.-C. Iriondo, A.J. Itoh, Y. Ivanoiu, A. Jagust, W.J. Jessen, F. Johannsen, P. Johnson, K.A. Kandimalla, R. Kapaki, E.N. Kern, S. Kilander, L. Klimkowicz-Mrowiec, A. Klunk, W.E. Koglin, N. Kornhuber, J. Kramberger, M.G. Kuo, H.-C. Van Laere, K. Landau, S.M. Landeau, B. Lee, D.Y. De Leon, M. Leyton, C.E. Lin, K.-J. Lleó, A. Löwenmark, M. Madsen, K. Maier, W. Marcusson, J. Marquié, M. Martinez-Lage, P. Maserejian, N. Mattsson, N. De Mendonça, A. Meyer, P.T. Miller, B.L. Minatani, S. Mintun, M.A. Mok, V.C.T. Molinuevo, J.L. Morbelli, S.D. Morris, J.C. Mroczko, B. Na, D.L. Newberg, A. Nobili, F. Nordberg, A. Olde Rikkert, M.G.M. De Oliveira, C.R. Olivieri, P. Orellana, A. Paraskevas, G. Parchi, P. Pardini, M. Parnetti, L. Peters, O. Poirier, J. Popp, J. Prabhakar, S. Rabinovici, G.D. Ramakers, I.H. Rami, L. Reiman, E.M. Rinne, J.O. Rodrigue, K.M. Rodríguez-Rodriguez, E. Roe, C.M. Rosa-Neto, P. Rosen, H.J. Rot, U. Rowe, C.C. Rüther, E. Ruiz, A. Sabri, O. Sakhardande, J. Sánchez-Juan, P. Sando, S.B. Santana, I. Sarazin, M. Scheltens, P. Schröder, J. Selnes, P. Seo, S.W. Silva, D. Skoog, I. S and Jansen, W.J. Janssen, O. Tijms, B.M. Vos, S.J.B. Ossenkoppele, R. Visser, P.J. Aarsland, D. Alcolea, D. Altomare, D. Von Arnim, C. Baiardi, S. Baldeiras, I. Barthel, H. Bateman, R.J. Van Berckel, B. Binette, A.P. Blennow, K. Boada, M. Boecker, H. Bottlaender, M. Den Braber, A. Brooks, D.J. Van Buchem, M.A. Camus, V. Carill, J.M. Cerman, J. Chen, K. Chételat, G. Chipi, E. Cohen, A.D. Daniels, A. Delarue, M. Didic, M. Drzezga, A. Dubois, B. Eckerström, M. Ekblad, L.L. Engelborghs, S. Epelbaum, S. Fagan, A.M. Fan, Y. Fladby, T. Fleisher, A.S. Van Der Flier, W.M. Förster, S. Fortea, J. Frederiksen, K.S. Freund-Levi, Y. Frings, L. Frisoni, G.B. Fröhlich, L. Gabryelewicz, T. Gertz, H.-J. Gill, K.D. Gkatzima, O. Gómez-Tortosa, E. Grimmer, T. Guedj, E. Habeck, C.G. Hampel, H. Handels, R. Hansson, O. Hausner, L. Hellwig, S. Heneka, M.T. Herukka, S.-K. Hildebrandt, H. Hodges, J. Hort, J. Huang, C.-C. Iriondo, A.J. Itoh, Y. Ivanoiu, A. Jagust, W.J. Jessen, F. Johannsen, P. Johnson, K.A. Kandimalla, R. Kapaki, E.N. Kern, S. Kilander, L. Klimkowicz-Mrowiec, A. Klunk, W.E. Koglin, N. Kornhuber, J. Kramberger, M.G. Kuo, H.-C. Van Laere, K. Landau, S.M. Landeau, B. Lee, D.Y. De Leon, M. Leyton, C.E. Lin, K.-J. Lleó, A. Löwenmark, M. Madsen, K. Maier, W. Marcusson, J. Marquié, M. Martinez-Lage, P. Maserejian, N. Mattsson, N. De Mendonça, A. Meyer, P.T. Miller, B.L. Minatani, S. Mintun, M.A. Mok, V.C.T. Molinuevo, J.L. Morbelli, S.D. Morris, J.C. Mroczko, B. Na, D.L. Newberg, A. Nobili, F. Nordberg, A. Olde Rikkert, M.G.M. De Oliveira, C.R. Olivieri, P. Orellana, A. Paraskevas, G. Parchi, P. Pardini, M. Parnetti, L. Peters, O. Poirier, J. Popp, J. Prabhakar, S. Rabinovici, G.D. Ramakers, I.H. Rami, L. Reiman, E.M. Rinne, J.O. Rodrigue, K.M. Rodríguez-Rodriguez, E. Roe, C.M. Rosa-Neto, P. Rosen, H.J. Rot, U. Rowe, C.C. Rüther, E. Ruiz, A. Sabri, O. Sakhardande, J. Sánchez-Juan, P. Sando, S.B. Santana, I. Sarazin, M. Scheltens, P. Schröder, J. Selnes, P. Seo, S.W. Silva, D. Skoog, I. S

Abstract

Importance: One characteristic histopathological event in Alzheimer disease (AD) is cerebral amyloid aggregation, which can be detected by biomarkers in cerebrospinal fluid (CSF) and on positron emission tomography (PET) scans. Prevalence estimates of amyloid pathology are important for health care planning and clinical trial design. Objective: To estimate the prevalence of amyloid abnormality in persons with normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia and to examine the potential implications of cutoff methods, biomarker modality (CSF or PET), age, sex, APOE genotype, educational level, geographical region, and dementia severity for these estimates. Design, Setting, and Participants: This cross-sectional, individual-participant pooled study included participants from 85 Amyloid Biomarker Study cohorts. Data collection was performed from January 1, 2013, to December 31, 2020. Participants had normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia. Normal cognition and subjective cognitive decline were defined by normal scores on cognitive tests, with the presence of cognitive complaints defining subjective cognitive decline. Mild cognitive impairment and clinical AD dementia were diagnosed according to published criteria. Exposures: Alzheimer disease biomarkers detected on PET or in CSF. Main Outcomes and Measures: Amyloid measurements were dichotomized as normal or abnormal using cohort-provided cutoffs for CSF or PET or by visual reading for PET. Adjusted data-driven cutoffs for abnormal amyloid were calculated using gaussian mixture modeling. Prevalence of amyloid abnormality was estimated according to age, sex, cognitive status, biomarker modality, APOE carrier status, educational level, geographical location, and dementia severity using generalized estimating equations. Results: Among the 19097 participants (mean [SD] age, 69.1 [9.8] years; 10148 women [53.1%]) in

Published
2022

6. Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum

Author

Jansen, W.J., Janssen, O., Tijms, B.M., Vos, S.J.B., Ossenkoppele, R., Visser, P.J., Group, A.B.S., Aarsland, D., Alcolea, D., Altomare, D., Arnim, C. von, Baiardi, S., Baldeiras, I., Barthel, H., Bateman, R.J., Berckel, B. Van, Binette, A.P., Blennow, K., Boada, M., Boecker, H., Bottlaender, M., Braber, A., Brooks, D.J., Buchem, M.A. van, Camus, V., Carill, J.M., Cerman, J., Chen, K., Chételat, G., Chipi, E., Cohen, A.D., Daniels, A., Delarue, M., Didic, M., Drzezga, A., Dubois, B., Eckerström, M., Ekblad, L.L., Engelborghs, S., Epelbaum, S., Fagan, A.M., Fan, Y., Fladby, T., Fleisher, A.S., Flier, W.M. van der, Förster, S., Fortea, J., Frederiksen, K.S., Freund-Levi, Y., Frings, L., Frisoni, G.B., Fröhlich, L., Gabryelewicz, T., Gertz, H.J., Gill, K.D., Gkatzima, O., Gómez-Tortosa, E., Grimmer, T., Guedj, E., Habeck, C.G., Hampel, H., Handels, R., Hansson, O., Hausner, L., Hellwig, S., Heneka, M.T., Herukka, S.K., Hildebrandt, H., Hodges, J., Hort, J., Huang, C.C., Iriondo, A.J., Itoh, Y., Ivanoiu, A., Jagust, W.J., Jessen, F., Johannsen, P., Johnson, K.A., Kandimalla, R., Kapaki, E.N., Kern, S., Kilander, L., Klimkowicz-Mrowiec, A., Klunk, W.E., Koglin, N., Kornhuber, J., Kramberger, M.G., Kuo, H.C., Laere, K. Van, Landau, S.M., Landeau, B., Lee, Dyantha I. van der, Leon, M., Leyton, C.E., Lin, K.J., Lleó, A., Löwenmark, M., Madsen, K., Maier, W., Marcusson, J., Olde Rikkert, M.G.M., Verbeek, M.M., Zboch, M., Zetterberg, H., Jansen, W.J., Janssen, O., Tijms, B.M., Vos, S.J.B., Ossenkoppele, R., Visser, P.J., Group, A.B.S., Aarsland, D., Alcolea, D., Altomare, D., Arnim, C. von, Baiardi, S., Baldeiras, I., Barthel, H., Bateman, R.J., Berckel, B. Van, Binette, A.P., Blennow, K., Boada, M., Boecker, H., Bottlaender, M., Braber, A., Brooks, D.J., Buchem, M.A. van, Camus, V., Carill, J.M., Cerman, J., Chen, K., Chételat, G., Chipi, E., Cohen, A.D., Daniels, A., Delarue, M., Didic, M., Drzezga, A., Dubois, B., Eckerström, M., Ekblad, L.L., Engelborghs, S., Epelbaum, S., Fagan, A.M., Fan, Y., Fladby, T., Fleisher, A.S., Flier, W.M. van der, Förster, S., Fortea, J., Frederiksen, K.S., Freund-Levi, Y., Frings, L., Frisoni, G.B., Fröhlich, L., Gabryelewicz, T., Gertz, H.J., Gill, K.D., Gkatzima, O., Gómez-Tortosa, E., Grimmer, T., Guedj, E., Habeck, C.G., Hampel, H., Handels, R., Hansson, O., Hausner, L., Hellwig, S., Heneka, M.T., Herukka, S.K., Hildebrandt, H., Hodges, J., Hort, J., Huang, C.C., Iriondo, A.J., Itoh, Y., Ivanoiu, A., Jagust, W.J., Jessen, F., Johannsen, P., Johnson, K.A., Kandimalla, R., Kapaki, E.N., Kern, S., Kilander, L., Klimkowicz-Mrowiec, A., Klunk, W.E., Koglin, N., Kornhuber, J., Kramberger, M.G., Kuo, H.C., Laere, K. Van, Landau, S.M., Landeau, B., Lee, Dyantha I. van der, Leon, M., Leyton, C.E., Lin, K.J., Lleó, A., Löwenmark, M., Madsen, K., Maier, W., Marcusson, J., Olde Rikkert, M.G.M., Verbeek, M.M., Zboch, M., and Zetterberg, H.

Abstract

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Published
2022

7. 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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10. 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

11. Semi-quantification and grading of amyloid PET: A project of the European Alzheimer's Disease Consortium (EADC)

Author

Chincarini, A, Peira, E, Morbelli, S, Pardini, M, Bauckneht, M, Arbizu, J, Castelo-Branco, M, Busing, K, de Mendonca, A, Didic, M, Dottorini, M, Engelborghs, S, Ferrarese, C, Frisoni, G, Garibotto, V, Guedj, E, Hausner, L, Hugon, J, Verhaeghe, J, Mecocci, P, Musarra, M, Queneau, M, Riverol, M, Santana, I, Guerra, U, Nobili, F, Chincarini A., Peira E., Morbelli S., Pardini M., Bauckneht M., Arbizu J., Castelo-Branco M., Busing K. A., de Mendonca A., Didic M., Dottorini M., Engelborghs S., Ferrarese C., Frisoni G. B., Garibotto V., Guedj E., Hausner L., Hugon J., Verhaeghe J., Mecocci P., Musarra M., Queneau M., Riverol M., Santana I., Guerra U. P., Nobili F., Chincarini, A, Peira, E, Morbelli, S, Pardini, M, Bauckneht, M, Arbizu, J, Castelo-Branco, M, Busing, K, de Mendonca, A, Didic, M, Dottorini, M, Engelborghs, S, Ferrarese, C, Frisoni, G, Garibotto, V, Guedj, E, Hausner, L, Hugon, J, Verhaeghe, J, Mecocci, P, Musarra, M, Queneau, M, Riverol, M, Santana, I, Guerra, U, Nobili, F, Chincarini A., Peira E., Morbelli S., Pardini M., Bauckneht M., Arbizu J., Castelo-Branco M., Busing K. A., de Mendonca A., Didic M., Dottorini M., Engelborghs S., Ferrarese C., Frisoni G. B., Garibotto V., Guedj E., Hausner L., Hugon J., Verhaeghe J., Mecocci P., Musarra M., Queneau M., Riverol M., Santana I., Guerra U. P., and Nobili F.

Abstract

Background: amyloid-PET reading has been classically implemented as a binary assessment, although the clinical experience has shown that the number of borderline cases is non negligible not only in epidemiological studies of asymptomatic subjects but also in naturalistic groups of symptomatic patients attending memory clinics. In this work we develop a model to compare and integrate visual reading with two independent semi-quantification methods in order to obtain a tracer-independent multi-parametric evaluation. Methods: We retrospectively enrolled three cohorts of cognitively impaired patients submitted to 18 F-florbetaben (53 subjects), 18 F-flutemetamol (62 subjects), 18 F-florbetapir (60 subjects)PET/CT respectively, in 6 European centres belonging to the EADC. The 175 scans were visually classified as positive/negative following approved criteria and further classified with a 5-step grading as negative, mild negative, borderline, mild positive, positive by 5 independent readers, blind to clinical data. Scan quality was also visually assessed and recorded. Semi-quantification was based on two quantifiers: the standardized uptake value (SUVr)and the ELBA method. We used a sigmoid model to relate the grading with the quantifiers. We measured the readers accord and inconsistencies in the visual assessment as well as the relationship between discrepancies on the grading and semi-quantifications. Conclusion: It is possible to construct a map between different tracers and different quantification methods without resorting to ad-hoc acquired cases. We used a 5-level visual scale which, together with a mathematical model, delivered cut-offs and transition regions on tracers that are (largely)independent from the population. All fluorinated tracers appeared to have the same contrast and discrimination ability with respect to the negative-to-positive grading. We validated the integration of both visual reading and different quantifiers in a more robust framework thus bri

Published
2019

12. SLITRK2, an X-linked modifier of the age at onset in C9orf72 frontotemporal lobar degeneration

Author

Barbier, M., Camuzat, A., Hachimi, K. E., Guegan, J., Rinaldi, D., Lattante, Serena, Houot, M., Sanchez-Valle, R., Sabatelli, Mario, Antonell, A., Molina-Porcel, L., Clot, F., Couratier, P., Van Der Ende, E., Van Der Zee, J., Manzoni, C., Camu, W., Cazeneuve, C., Sellal, F., Didic, M., Golfier, V., Pasquier, F., Duyckaerts, C., Rossi, G., Bruni, A. C., Alvarez, V., Gomez-Tortosa, E., De Mendonca, A., Graff, C., Masellis, M., Nacmias, B., Oumoussa, B. M., Jornea, L., Forlani, S., Van Deerlin, V., Rohrer, J. D., Gelpi, E., Rademakers, R., Van Swieten, J., Le Guern, E., Van Broeckhoven, C., Ferrari, R., Genin, E., Brice, A., Le Ber, I., Lattante S. (ORCID:0000-0003-2891-0340), Sabatelli M. (ORCID:0000-0001-6635-4985), Barbier, M., Camuzat, A., Hachimi, K. E., Guegan, J., Rinaldi, D., Lattante, Serena, Houot, M., Sanchez-Valle, R., Sabatelli, Mario, Antonell, A., Molina-Porcel, L., Clot, F., Couratier, P., Van Der Ende, E., Van Der Zee, J., Manzoni, C., Camu, W., Cazeneuve, C., Sellal, F., Didic, M., Golfier, V., Pasquier, F., Duyckaerts, C., Rossi, G., Bruni, A. C., Alvarez, V., Gomez-Tortosa, E., De Mendonca, A., Graff, C., Masellis, M., Nacmias, B., Oumoussa, B. M., Jornea, L., Forlani, S., Van Deerlin, V., Rohrer, J. D., Gelpi, E., Rademakers, R., Van Swieten, J., Le Guern, E., Van Broeckhoven, C., Ferrari, R., Genin, E., Brice, A., Le Ber, I., Lattante S. (ORCID:0000-0003-2891-0340), and Sabatelli M. (ORCID:0000-0001-6635-4985)

Abstract

The G4C2-repeat expansion in C9orf72 is the most common cause of frontotemporal dementia and of amyotrophic lateral sclerosis. The variability of age at onset and phenotypic presentations is a hallmark of C9orf72 disease. In this study, we aimed to identify modifying factors of disease onset in C9orf72 carriers using a family-based approach, in pairs of C9orf72 carrier relatives with concordant or discordant age at onset. Linkage and association analyses provided converging evidence for a locus on chromosome Xq27.3. The minor allele A of rs1009776 was associated with an earlier onset (P = 1 × 10-5). The association with onset of dementia was replicated in an independent cohort of unrelated C9orf72 patients (P = 0.009). The protective major allele delayed the onset of dementia from 5 to 13 years on average depending on the cohort considered. The same trend was observed in an independent cohort of C9orf72 patients with extreme deviation of the age at onset (P = 0.055). No association of rs1009776 was detected in GRN patients, suggesting that the effect of rs1009776 was restricted to the onset of dementia due to C9orf72. The minor allele A is associated with a higher SLITRK2 expression based on both expression quantitative trait loci (eQTL) databases and in-house expression studies performed on C9orf72 brain tissues. SLITRK2 encodes for a post-synaptic adhesion protein. We further show that synaptic vesicle glycoprotein 2 and synaptophysin, two synaptic vesicle proteins, were decreased in frontal cortex of C9orf72 patients carrying the minor allele. Upregulation of SLITRK2 might be associated with synaptic dysfunctions and drives adverse effects in C9orf72 patients that could be modulated in those carrying the protective allele. How the modulation of SLITRK2 expression affects synaptic functions and influences the disease onset of dementia in C9orf72 carriers will require further investigations. In summary, this study describes an original approach to detect modifier g

Published
2021

13. Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study

Author

Ribaldi, F., Altomare, D., Jovicich, J., Ferrari, C., Picco, A., Pizzini, F. B., Soricelli, A., Mega, A., Ferretti, A., Drevelegas, A., Bosch, B., Muller, B. W., Marra, Camillo, Cavaliere, C., Bartres-Faz, D., Nobili, F., Alessandrini, F., Barkhof, F., Gros-Dagnac, H., Ranjeva, J. -P., Wiltfang, J., Kuijer, J., Sein, J., Hoffmann, K. -T., Roccatagliata, L., Parnetti, L., Tsolaki, M., Constantinidis, M., Aiello, M., Salvatore, M., Montalti, M., Caulo, M., Didic, M., Bargallo, N., Blin, O., Rossini, Paolo Maria, Schonknecht, P., Floridi, P., Payoux, P., Visser, P. J., Bordet, R., Lopes, R., Tarducci, R., Bombois, S., Hensch, T., Fiedler, U., Richardson, J. C., Frisoni, G. B., Marizzoni, M., Marra C. (ORCID:0000-0003-3994-4044), Rossini P. M. (ORCID:0000-0003-2665-534X), Ribaldi, F., Altomare, D., Jovicich, J., Ferrari, C., Picco, A., Pizzini, F. B., Soricelli, A., Mega, A., Ferretti, A., Drevelegas, A., Bosch, B., Muller, B. W., Marra, Camillo, Cavaliere, C., Bartres-Faz, D., Nobili, F., Alessandrini, F., Barkhof, F., Gros-Dagnac, H., Ranjeva, J. -P., Wiltfang, J., Kuijer, J., Sein, J., Hoffmann, K. -T., Roccatagliata, L., Parnetti, L., Tsolaki, M., Constantinidis, M., Aiello, M., Salvatore, M., Montalti, M., Caulo, M., Didic, M., Bargallo, N., Blin, O., Rossini, Paolo Maria, Schonknecht, P., Floridi, P., Payoux, P., Visser, P. J., Bordet, R., Lopes, R., Tarducci, R., Bombois, S., Hensch, T., Fiedler, U., Richardson, J. C., Frisoni, G. B., Marizzoni, M., Marra C. (ORCID:0000-0003-3994-4044), and Rossini P. M. (ORCID:0000-0003-2665-534X)

Abstract

Brain vascular damage accumulate in aging and often manifest as white matter hyperintensities (WMHs) on MRI. Despite increased interest in automated methods to segment WMHs, a gold standard has not been achieved and their longitudinal reproducibility has been poorly investigated. The aim of present work is to evaluate accuracy and reproducibility of two freely available segmentation algorithms. A harmonized MRI protocol was implemented in 3T-scanners across 13 European sites, each scanning five volunteers twice (test-retest) using 2D-FLAIR. Automated segmentation was performed using Lesion segmentation tool algorithms (LST): the Lesion growth algorithm (LGA) in SPM8 and 12 and the Lesion prediction algorithm (LPA). To assess reproducibility, we applied the LST longitudinal pipeline to the LGA and LPA outputs for both the test and retest scans. We evaluated volumetric and spatial accuracy comparing LGA and LPA with manual tracing, and for reproducibility the test versus retest. Median volume difference between automated WMH and manual segmentations (mL) was −0.22[IQR = 0.50] for LGA-SPM8, −0.12[0.57] for LGA-SPM12, −0.09[0.53] for LPA, while the spatial accuracy (Dice Coefficient) was 0.29[0.31], 0.33[0.26] and 0.41[0.23], respectively. The reproducibility analysis showed a median reproducibility error of 20%[IQR = 41] for LGA-SPM8, 14% [31] for LGA-SPM12 and 10% [27] with the LPA cross-sectional pipeline. Applying the LST longitudinal pipeline, the reproducibility errors were considerably reduced (LGA: 0%[IQR = 0], p < 0.001; LPA: 0% [3], p < 0.001) compared to those derived using the cross-sectional algorithms. The DC using the longitudinal pipeline was excellent (median = 1) for LGA [IQR = 0] and LPA [0.02]. LST algorithms showed moderate accuracy and good reproducibility. Therefore, it can be used as a reliable cross-sectional and longitudinal tool in multi-site studies.

Published
2021

14. Amygdalar nuclei and hippocampal subfields on MRI: Test-retest reliability of automated volumetry across different MRI sites and vendors

Author

Quattrini, G., Pievani, M., Jovicich, J., Aiello, M., Bargallo, N., Barkhof, F., Bartres-Faz, D., Beltramello, A., Pizzini, F. B., Blin, O., Bordet, R., Caulo, M., Constantinides, M., Didic, M., Drevelegas, A., Ferretti, A., Fiedler, U., Floridi, P., Gros-Dagnac, H., Hensch, T., Hoffmann, K. -T., Kuijer, J. P., Lopes, R., Marra, Camillo, Muller, B. W., Nobili, F., Parnetti, L., Payoux, P., Picco, A., Ranjeva, J. -P., Roccatagliata, L., Rossini, Paolo Maria, Salvatore, M., Schonknecht, P., Schott, B. H., Sein, J., Soricelli, A., Tarducci, R., Tsolaki, M., Visser, P. J., Wiltfang, J., Richardson, J. C., Frisoni, G. B., Marizzoni, M., Marra C. (ORCID:0000-0003-3994-4044), Rossini P. M. (ORCID:0000-0003-2665-534X), Quattrini, G., Pievani, M., Jovicich, J., Aiello, M., Bargallo, N., Barkhof, F., Bartres-Faz, D., Beltramello, A., Pizzini, F. B., Blin, O., Bordet, R., Caulo, M., Constantinides, M., Didic, M., Drevelegas, A., Ferretti, A., Fiedler, U., Floridi, P., Gros-Dagnac, H., Hensch, T., Hoffmann, K. -T., Kuijer, J. P., Lopes, R., Marra, Camillo, Muller, B. W., Nobili, F., Parnetti, L., Payoux, P., Picco, A., Ranjeva, J. -P., Roccatagliata, L., Rossini, Paolo Maria, Salvatore, M., Schonknecht, P., Schott, B. H., Sein, J., Soricelli, A., Tarducci, R., Tsolaki, M., Visser, P. J., Wiltfang, J., Richardson, J. C., Frisoni, G. B., Marizzoni, M., Marra C. (ORCID:0000-0003-3994-4044), and Rossini P. M. (ORCID:0000-0003-2665-534X)

Published
2020

16. Relations between C9orf72 expansion size in blood, age at onset, age at collection and transmission across generations in patients and presymptomatic carriers

Author

Fournier, C., Barbier, M., Camuzat, A., Anquetil, V., Lattante, Serena, Clot, F., Cazeneuve, C., Rinaldi, D., Couratier, P., Deramecourt, V., Sabatelli, Mario, Belliard, S., Vercelletto, M., Forlani, S., Jornea, L., Brice, A., Auriacombe, S., Blanc, F., Bouteleau-Bretonniere, C., Ceccaldi, M., Didic, M., Dubois, B., Duyckaerts, C., Etcharry-Bouix, F., Golfier, V., Hannequin, D., Lacomblez, L., Le Ber, I., Levy, R., Michel, B. -F., Pasquier, F., Thomas-Anterion, C., Pariente, J., Sellal, F., Benchetrit, E., Bertin, H., Bertrand, A., Bissery, A., Bombois, S., Boncoeur, M. -P., Cassagnaud, P., Chastan, M., Chen, Y., Chupin, M., Colliot, O., Delbeucq, X., Delmaire, C., Gerardin, E., Hossein-Foucher, C., Habert, M. -O., Lautrette, G., Lebouvier, T., Lehericy, S., Le Toullec, B., Martineau, K., Mackowiak, M. -A., Monteil, J., Petyt, G., Pradat, P. -F., Oya, A. -H., Rollin-Sillaire, A., Salachas, F., Sayah, S., Wallon, D., Leguern, E., Lattante S. (ORCID:0000-0003-2891-0340), Sabatelli M. (ORCID:0000-0001-6635-4985), Fournier, C., Barbier, M., Camuzat, A., Anquetil, V., Lattante, Serena, Clot, F., Cazeneuve, C., Rinaldi, D., Couratier, P., Deramecourt, V., Sabatelli, Mario, Belliard, S., Vercelletto, M., Forlani, S., Jornea, L., Brice, A., Auriacombe, S., Blanc, F., Bouteleau-Bretonniere, C., Ceccaldi, M., Didic, M., Dubois, B., Duyckaerts, C., Etcharry-Bouix, F., Golfier, V., Hannequin, D., Lacomblez, L., Le Ber, I., Levy, R., Michel, B. -F., Pasquier, F., Thomas-Anterion, C., Pariente, J., Sellal, F., Benchetrit, E., Bertin, H., Bertrand, A., Bissery, A., Bombois, S., Boncoeur, M. -P., Cassagnaud, P., Chastan, M., Chen, Y., Chupin, M., Colliot, O., Delbeucq, X., Delmaire, C., Gerardin, E., Hossein-Foucher, C., Habert, M. -O., Lautrette, G., Lebouvier, T., Lehericy, S., Le Toullec, B., Martineau, K., Mackowiak, M. -A., Monteil, J., Petyt, G., Pradat, P. -F., Oya, A. -H., Rollin-Sillaire, A., Salachas, F., Sayah, S., Wallon, D., Leguern, E., Lattante S. (ORCID:0000-0003-2891-0340), and Sabatelli M. (ORCID:0000-0001-6635-4985)

Abstract

A (GGGGCC) n repeat expansion in C9orf72 gene is the major cause of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). The relations between the repeats size and the age at disease onset (AO) or the clinical phenotype (FTD vs. ALS) were investigated in 125 FTD, ALS, and presymptomatic carriers. Positive correlations were found between repeats number and the AO (p < 10 e−4 ) but our results suggested that the association was mainly driven by age at collection (p < 10 e−4 ). A weaker association was observed with clinical presentation (p = 0.02), which became nonsignificant after adjustment for the age at collection in each group. Importantly, repeats number variably expanded or contracted over time in carriers with multiple blood samples, as well as through generations in parent-offspring pairs, conversely to what occurs in several expansion diseases with anticipation at the molecular level. Finally, this study establishes that measure of repeats number in lymphocytes is not a reliable biomarker predictive of the AO or disease outcome in C9orf72 long expansion carriers.

Published
2019

17. Elval pilot - aluminium casting traceability supported by CIMOSA

Author

Arabatzis, T., Papaioannou, D., Didic, M., and Neuscheler, F.

Subjects
Elval Hellenic Aluminium Industry S.A. -- Production management -- 00137787, Computer-integrated manufacturing, Aluminum castings, Statistical process control
Published
1995

19. Frequency of the C9orf72 hexanucleotide repeat expansion in patients with amyotrophic lateral sclerosis and frontotemporal dementia: a cross-sectional study

Author

Majounie, E1, Renton, Ae, Mok, K, Dopper, Eg, Waite, A, Rollinson, S, Chiò, A, Restagno, G, Nicolaou, N, Simon-Sanchez, J, van Swieten JC, Abramzon, Y, Johnson, Jo, Sendtner, M, Pamphlett, R, Orrell, Rw, Mead, S, Sidle, Kc, Houlden, H, Rohrer, Jd, Morrison, Ke, Pall, H, Talbot, K, Ansorge, O, Hernandez, Dg, Arepalli, S, Sabatelli, M, Mora, G, Corbo, M, Giannini, F, Calvo, A, Englund, E, Borghero, G, Floris, Gl, Remes, Am, Laaksovirta, H, Mccluskey, L, Trojanowski, Jq, Van Deerlin VM, Schellenberg, Gd, Nalls, Ma, Drory, Ve, Lu, Cs, Yeh, Th, Ishiura, H, Takahashi, Y, Tsuji, S, Le Ber, I, Brice, A, Drepper, C, Williams, N, Kirby, J, Shaw, P, Hardy, J, Tienari, Pj, Heutink, P, Morris, Hr, Pickering-Brown, S, Traynor, Bj, Adamson, G, Bayer, Aj, Beck, J, Callister, Jb, Blake, Dj, Blumen, Sc, Collinge, J, Dunckley, T, Ealing, J, East, S, Elman, L, Gerhard, A, Guerreiro, Rj, Gwinn, K, Halliwell, N, Hamdalla, Hh, Hewitt, C, Ince, P, Jablonka, S, James, C, Kent, L, Knock, Jc, Lynch, T, Mahoney, C, Mann, D, Neal, J, Norris, D, O'Dowd, S, Richardson, A, Rossor, M, Rothstein, J, Scholz, Sw, Snowden, J, Stephan, Da, Toulson, G, Turner, Mr, Warren, Jd, Young, K, Weng, Yh, Kuo, Hc, Lai, Sc, Huang, Cl, Camuzat, A, Entraingues, L, Guillot-Noël, Verpillat, P, Blanc, F, Camu, W, Clerget-Darpoux, F, Corcia, P, Couratier, P, Didic, M, Dubois, B, Duyckaerts, C, Guedj, E, Golfier, V, Habert, Mo, Hannequin, D, Lacomblez, L, Meininger, V, Salachas, F, Levy, R, Michel, Bf, Pasquier, F, Puel, M, Thomas-Anterion, C, Sellal, F, Vercelletto, M, Moglia, C, Cammarosano, S, Canosa, A, Gallo, S, Brunetti, M, Ossola, I, Marinou, K, Papetti, L, Pisano, F, Pinter, Gl, Conte, A, Luigetti, M, Zollino, M, Lattante, S, Marangi, G, la Bella, V, Spataro, R, Colletti, T, Battistini, S, Ricci, C, Caponnetto, C, Mancardi, G, Mandich, P, Salvi, F, Bartolomei, I, Mandrioli, J, Sola, P, Lunetta, C, Penco, S, Monsurrò, Mr, Tedeschi, G, Conforti, Fl, Gambardella, A, Quattrone, A, Volanti, P, Floris, G, Cannas, A, Piras, V, Marrosu, F, Marrosu, Mg, Murru, Mr, Pugliatti, M, Parish, Ld, Sotgiu, A, Solinas, G, Ulgheri, L, Ticca, A, Simone, I, Logroscino, G., Neurology, Erasmus MC other, The Chromosome 9-ALS/FTD Consortium, Human genetics, NCA - Neurodegeneration, Università degli studi di Torino (UNITO), Department of Clinical Genetics, Institute for Clinical Neurobiology, Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), MRC Prion Unit, UCL Institute of neurology, UCL Institute of Neurology, UCL Institute of Neurology, Queen Square, London, Department of Neuroscience, Catholic University, Roma, Fondazione Maugeri, Department of Neuroscience, University of Siena, Siena, Department of Neurology, Chang Gung Memorial Hospital [Taipei] (CGMH), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, MRC Centre for Neuropsychiatric Genetics and Genomics, Medical Research Council (MRC)-School of Medicine [Cardiff], Cardiff University-Institute of Medical Genetics [Cardiff]-Cardiff University-Institute of Medical Genetics [Cardiff], Neuroépidémiologie Tropicale (NET), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Università degli studi di Torino = University of Turin (UNITO), Julius-Maximilians-Universität Würzburg (JMU), UCL Institute of Neurology, Queen Square [London], Università degli Studi di Siena = University of Siena (UNISI), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)

Subjects
MESH: Signal Transduction, Male, MESH: Vesicular Transport Proteins, MESH: Membrane Glycoproteins, MESH: DNA Repeat Expansion, MESH: Genotype, Cohort Studies, MESH: Protein Structure, Tertiary, MESH: Aged, 80 and over, MESH: Interferon Regulatory Factor-3, 0302 clinical medicine, C9orf72, MESH: Child, MESH: RNA, Small Interfering, 80 and over, genetics, Age of Onset, Child, MESH: Cohort Studies, MESH: Amyotrophic Lateral Sclerosis, MESH: Aged, Genetics, Aged, 80 and over, 0303 health sciences, MESH: Middle Aged, DNA Repeat Expansion, MESH: Toll-Like Receptor 4, Middle Aged, Penetrance, 3. Good health, Settore MED/26 - NEUROLOGIA, Neurology, MESH: Young Adult, MESH: HEK293 Cells, Child, Preschool, Frontotemporal Dementia, Female, Sample collection, Chromosomes, Human, Pair 9, MESH: Myeloid Differentiation Factor 88, Frontotemporal dementia, Human, Pair 9, Adult, MESH: Protein Transport, medicine.medical_specialty, Adolescent, Genotype, MESH: Age of Onset, MESH: RNA Interference, Clinical Neurology, MESH: Frontotemporal Dementia, MESH: Genetic Loci, TARDBP, Chromosomes, 03 medical and health sciences, Open Reading Frames, Young Adult, MESH: Cross-Sectional Studies, Internal medicine, medicine, MESH: Chemokine CCL5, Humans, ddc:610, Preschool, MESH: Adaptor Proteins, Signal Transducing, 030304 developmental biology, Aged, MESH: Adolescent, MESH: Humans, business.industry, MESH: Transfection, MESH: Child, Preschool, Haplotype, Amyotrophic Lateral Sclerosis, MESH: Adult, MESH: Adaptor Proteins, Vesicular Transport, MESH: Open Reading Frames, medicine.disease, MESH: Male, MESH: Cell Line, C9orf72 Protein, Cross-Sectional Studies, MESH: Endosomes, Genetic Loci, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Neurology (clinical), MESH: Lipopolysaccharides, MESH: Chromosomes, Human, Pair 9, business, Trinucleotide repeat expansion, MESH: Female, Adolescent, Adult, Age of Onset, Aged, Aged, 80 and over, Amyotrophic Lateral Sclerosis, genetics, Child, Child, Preschool, Chromosomes, genetics, Cohort Studies, Cross-Sectional Studies, DNA Repeat Expansion, genetics, Female, Frontotemporal Dementia, genetics, Genetic Loci, Genotype, Humans, Male, Middle Aged, Open Reading Frames, genetics, Young Adult, 030217 neurology & neurosurgery
Abstract

International audience; BACKGROUND: We aimed to accurately estimate the frequency of a hexanucleotide repeat expansion in C9orf72 that has been associated with a large proportion of cases of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). METHODS: We screened 4448 patients diagnosed with ALS (El Escorial criteria) and 1425 patients with FTD (Lund-Manchester criteria) from 17 regions worldwide for the GGGGCC hexanucleotide expansion using a repeat-primed PCR assay. We assessed familial disease status on the basis of self-reported family history of similar neurodegenerative diseases at the time of sample collection. We compared haplotype data for 262 patients carrying the expansion with the known Finnish founder risk haplotype across the chromosomal locus. We calculated age-related penetrance using the Kaplan-Meier method with data for 603 individuals with the expansion. FINDINGS: In patients with sporadic ALS, we identified the repeat expansion in 236 (7*0%) of 3377 white individuals from the USA, Europe, and Australia, two (4*1%) of 49 black individuals from the USA, and six (8*3%) of 72 Hispanic individuals from the USA. The mutation was present in 217 (39*3%) of 552 white individuals with familial ALS from Europe and the USA. 59 (6*0%) of 981 white Europeans with sporadic FTD had the mutation, as did 99 (24*8%) of 400 white Europeans with familial FTD. Data for other ethnic groups were sparse, but we identified one Asian patient with familial ALS (from 20 assessed) and two with familial FTD (from three assessed) who carried the mutation. The mutation was not carried by the three Native Americans or 360 patients from Asia or the Pacific Islands with sporadic ALS who were tested, or by 41 Asian patients with sporadic FTD. All patients with the repeat expansion had (partly or fully) the founder haplotype, suggesting a one-off expansion occurring about 1500 years ago. The pathogenic expansion was non-penetrant in individuals younger than 35 years, 50% penetrant by 58 years, and almost fully penetrant by 80 years. INTERPRETATION: A common Mendelian genetic lesion in C9orf72 is implicated in many cases of sporadic and familial ALS and FTD. Testing for this pathogenic expansion should be considered in the management and genetic counselling of patients with these fatal neurodegenerative diseases. FUNDING: Full funding sources listed at end of paper (see Acknowledgments).

Published
2012
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20. Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting

Author

Perani, D, Della Rosa, P, Cerami, C, Gallivanone, F, Fallanca, F, Vanoli, E, Panzacchi, A, Nobili, F, Pappatà, S, Marcone, A, Garibotto, V, Castiglioni, I, Magnani, G, Cappa, S, Gianolli, L, Drzezga, A, Perneczky, R, Didic, M, Guedj, E, Van Berckel, B, Ossenkoppele, R, Morbelli, S, Frisoni, G, Caroli, A, Perani D, Della Rosa PA, Cerami C, Gallivanone F, Fallanca F, Vanoli EG, Panzacchi A, Nobili F, Pappatà S, Marcone A, Garibotto V, CASTIGLIONI I, Magnani G, Cappa SF, Gianolli L, Drzezga A, Perneczky R, Didic M, Guedj E, Van Berckel BN, Ossenkoppele R, Morbelli S, Frisoni G, Caroli A, Perani, D, Della Rosa, P, Cerami, C, Gallivanone, F, Fallanca, F, Vanoli, E, Panzacchi, A, Nobili, F, Pappatà, S, Marcone, A, Garibotto, V, Castiglioni, I, Magnani, G, Cappa, S, Gianolli, L, Drzezga, A, Perneczky, R, Didic, M, Guedj, E, Van Berckel, B, Ossenkoppele, R, Morbelli, S, Frisoni, G, Caroli, A, Perani D, Della Rosa PA, Cerami C, Gallivanone F, Fallanca F, Vanoli EG, Panzacchi A, Nobili F, Pappatà S, Marcone A, Garibotto V, CASTIGLIONI I, Magnani G, Cappa SF, Gianolli L, Drzezga A, Perneczky R, Didic M, Guedj E, Van Berckel BN, Ossenkoppele R, Morbelli S, Frisoni G, and Caroli A

Abstract

Diagnostic accuracy in FDG-PET imaging highly depends on the operating procedures. In this clinical study on dementia, we compared the diagnostic accuracy at a single-subject level of a) Clinical Scenarios, b) Standard FDG Images and c) Statistical Parametrical (SPM) Maps generated via a new optimized SPM procedure. We evaluated the added value of FDG-PET, either Standard FDG Images or SPM Maps, to Clinical Scenarios. In 88 patients with neurodegenerative diseases (Alzheimer's Disease-AD, Frontotemporal Lobar Degeneration-FTLD, Dementia with Lewy bodies-DLB and Mild Cognitive Impairment-MCI), 9 neuroimaging experts made a forced diagnostic decision on the basis of the evaluation of the three types of information. There was also the possibility of a decision of normality on the FDG-PET images. The clinical diagnosis confirmed at a long-term follow-up was used as the gold standard. SPM Maps showed higher sensitivity and specificity (96% and 84%), and better diagnostic positive (6.8) and negative (0.05) likelihood ratios compared to Clinical Scenarios and Standard FDG Images. SPM Maps increased diagnostic accuracy for differential diagnosis (AD vs. FTD; beta 1.414, p = 0.019). The AUC of the ROC curve was 0.67 for SPM Maps, 0.57 for Clinical Scenarios and 0.50 for Standard FDG Images. In the MCI group, SPM Maps showed the highest predictive prognostic value (mean LOC = 2.46), by identifying either normal brain metabolism (exclusionary role) or hypometabolic patterns typical of different neurodegenerative conditions

Published
2014

21. Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting

Author

Perani D, Della Rosa PA, Cerami C, Gallivanone F, Fallanca F, Vanoli EG, Panzacchi A, Nobili F, Pappatà S, Marcone A, Garibotto V, CASTIGLIONI I, Magnani G, Cappa SF, Gianolli L, Drzezga A, Perneczky R, Didic M, Guedj E, Van Berckel BN, Ossenkoppele R, Morbelli S, Frisoni G, Caroli A, Radiology and nuclear medicine, NCA - Brain imaging technology, NCA - neurodegeneration, Perani, D, Della Rosa, P, Cerami, C, Gallivanone, F, Fallanca, F, Vanoli, E, Panzacchi, A, Nobili, F, Pappatà, S, Marcone, A, Garibotto, V, Castiglioni, I, Magnani, G, Cappa, S, Gianolli, L, Drzezga, A, Perneczky, R, Didic, M, Guedj, E, Van Berckel, B, Ossenkoppele, R, Morbelli, S, Frisoni, G, Caroli, A, Della Rosa, Pasquale Anthony, Cerami, Chiara, Gallivanone, Francesca, Fallanca, Federico, Vanoli, Emilia Giovanna, Panzacchi, Andrea, Nobili, Flavio, Pappata, Sabina, Marcone, Alessandra, Garibotto, Valentina, Castiglioni, Isabella, Magnani, Giuseppe, Cappa, Stefano, and Gianolli, Luigi

Subjects
NATIONAL INSTITUTE, Male, MILD COGNITIVE IMPAIRMENT, Data Interpretation, Neurology, Statistical Parametrical Mapping, GUIDELINES, lcsh:RC346-429, DISEASE, RECOMMENDATIONS, 030218 nuclear medicine & medical imaging, Computer-Assisted, 0302 clinical medicine, pet, Dementia diagnosis, Nuclear Medicine and Imaging, Diagnosis, 80 and over, F-18-FDG PET, Diagnosis, Computer-Assisted, 10. No inequality, Aged, 80 and over, FDG-PET imaging, Statistical parametrical mapping, Voxel-based analysis, Aged, Brain, Data Interpretation, Statistical, Female, Fluorodeoxyglucose F18, Humans, Middle Aged, Neurodegenerative Diseases, Positron-Emission Tomography, Sensitivity and Specificity, Neurology (clinical), Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Medicine (all), medicine.diagnostic_test, EADC-PET Consortium, GLUCOSE-METABOLISM, ALZHEIMERS ASSOCIATION WORKGROUPS, Statistical, LEWY BODIES, 3. Good health, Positron emission tomography, lcsh:R858-859.7, Radiology, Psychology, Life Sciences & Biomedicine, medicine.medical_specialty, Neuroimaging, Neurodegenerative Diseases/diagnosis, lcsh:Computer applications to medicine. Medical informatics, ddc:616.0757, Article, 03 medical and health sciences, mental disorders, medicine, Dementia, Brain/metabolism, Radiology, Nuclear Medicine and imaging, lcsh:Neurology. Diseases of the nervous system, Science & Technology, business.industry, fungi, Gold standard (test), FRONTOTEMPORAL DEMENTIA, medicine.disease, Positron-Emission Tomography/methods, Clinical diagnosis, Neurosciences & Neurology, Differential diagnosis, Nuclear medicine, business, 030217 neurology & neurosurgery
Abstract

Diagnostic accuracy in FDG-PET imaging highly depends on the operating procedures. In this clinical study on dementia, we compared the diagnostic accuracy at a single-subject level of a) Clinical Scenarios, b) Standard FDG Images and c) Statistical Parametrical (SPM) Maps generated via a new optimized SPM procedure. We evaluated the added value of FDG-PET, either Standard FDG Images or SPM Maps, to Clinical Scenarios. In 88 patients with neurodegenerative diseases (Alzheimer's Disease—AD, Frontotemporal Lobar Degeneration—FTLD, Dementia with Lewy bodies—DLB and Mild Cognitive Impairment—MCI), 9 neuroimaging experts made a forced diagnostic decision on the basis of the evaluation of the three types of information. There was also the possibility of a decision of normality on the FDG-PET images. The clinical diagnosis confirmed at a long-term follow-up was used as the gold standard. SPM Maps showed higher sensitivity and specificity (96% and 84%), and better diagnostic positive (6.8) and negative (0.05) likelihood ratios compared to Clinical Scenarios and Standard FDG Images. SPM Maps increased diagnostic accuracy for differential diagnosis (AD vs. FTD; beta 1.414, p = 0.019). The AUC of the ROC curve was 0.67 for SPM Maps, 0.57 for Clinical Scenarios and 0.50 for Standard FDG Images. In the MCI group, SPM Maps showed the highest predictive prognostic value (mean LOC = 2.46), by identifying either normal brain metabolism (exclusionary role) or hypometabolic patterns typical of different neurodegenerative conditions., Highlights • Brain FDG-PET was evaluated with a new optimized SPM procedure in dementias. • We compared the diagnostic accuracy of clinical information, visual and SPM FDG-PET. • SPM had the best sensitivity (96%), specificity (84%) and positive and negative LR. • In an MCI subgroup, SPM had the highest predictive prognostic value.

Published
2014
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22. 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

23. Frequency of the C9orf72 hexanucleotide repeat expansion in patients with amyotrophic lateral sclerosis and frontotemporal dementia: a cross-sectional study

Author

Majounie E, Renton AE, Mok K, Dopper EG, Waite A, Rollinson S, Chiò A, Restagno G, Nicolaou N, Simon Sanchez J, van Swieten JC, Abramzon Y, Johnson JO, Sendtner M, Pamphlett R, Orrell RW, Mead S, Sidle KC, Houlden H, Rohrer JD, Morrison KE, Pall H, Talbot K, Ansorge O, Chromosome 9 ALS/FTD Consortium, French research network on FTLD/FTLD/ALS, ITALSGEN Consortium, Adamson G, Bayer AJ, Beck J, Callister JB, Blake DJ, Blumen SC, Collinge J, Dunckley T, Ealing J, East S, Elman L, Gerhard A, Guerreiro RJ, Gwinn K, Halliwell N, Hamdalla HH, Hewitt C, Ince P, Jablonka S, James C, Kent L, Knock JC, Lynch T, Mahoney C, Mann D, Neal J, Norris D, O'Dowd S, Richardson A, Rossor M, Rothstein J, Scholz SW, Snowden J, Stephan DA, Toulson G, Turner MR, Warren JD, Young K, Weng YH, Kuo HC, Lai SC, Huang CL, Camuzat A, Entraingues L, Guillot Noël, Verpillat P, Blanc F, Camu W, Clerget Darpoux F, Corcia P, Couratier P, Didic M, Dubois B, Duyckaerts C, Guedj E, Golfier V, Habert MO, Hannequin D, Lacomblez L, Meininger V, Salachas F, Levy R, Michel BF, Pasquier F, Puel M, Thomas Anterion C, Sellal F, Vercelletto M, Moglia C, Cammarosano S, Canosa A, Gallo S, Brunetti M, Ossola I, Marinou K, Papetti L, Pisano F, Pinter GL, Conte A, Luigetti M, Zollino M, Lattante S, Marangi G, la Bella V, Spataro R, Colletti T, Battistini S, Ricci C, Caponnetto C, Mancardi G, Mandich P, Salvi F, Bartolomei I, Mandrioli J, Sola P, Lunetta C, Penco S, Conforti FL, Gambardella A, Quattrone A, Volanti P, Floris G, Cannas A, Piras V, Marrosu F, Marrosu MG, Murru MR, Pugliatti M, Parish LD, Sotgiu A, Solinas G, Ulgheri L, Ticca A, Simone I, Logroscino G, Hernandez DG, Arepalli S, Sabatelli M, Mora G, Corbo M, Giannini F, Calvo A, Englund E, Borghero G, Floris GL, Remes AM, Laaksovirta H, McCluskey L, Trojanowski JQ, Van Deerlin VM, Schellenberg GD, Nalls MA, Drory VE, Lu CS, Yeh TH, Ishiura H, Takahashi Y, Tsuji S, Le Ber I, Brice A, Drepper C, Williams N, Kirby J, Shaw P, Hardy J, Tienari PJ, Heutink P, Morris HR, Pickering Brown S, Traynor BJ, MONSURRO', Maria Rosaria, TEDESCHI, Gioacchino, Majounie, E, Renton, Ae, Mok, K, Dopper, Eg, Waite, A, Rollinson, S, Chiò, A, Restagno, G, Nicolaou, N, Simon Sanchez, J, van Swieten, Jc, Abramzon, Y, Johnson, Jo, Sendtner, M, Pamphlett, R, Orrell, Rw, Mead, S, Sidle, Kc, Houlden, H, Rohrer, Jd, Morrison, Ke, Pall, H, Talbot, K, Ansorge, O, Chromosome, 9 ALS/FTD Consortium, French research network on, Ftld/ftld/al, Italsgen, Consortium, Adamson, G, Bayer, Aj, Beck, J, Callister, Jb, Blake, Dj, Blumen, Sc, Collinge, J, Dunckley, T, Ealing, J, East, S, Elman, L, Gerhard, A, Guerreiro, Rj, Gwinn, K, Halliwell, N, Hamdalla, Hh, Hewitt, C, Ince, P, Jablonka, S, James, C, Kent, L, Knock, Jc, Lynch, T, Mahoney, C, Mann, D, Neal, J, Norris, D, O'Dowd, S, Richardson, A, Rossor, M, Rothstein, J, Scholz, Sw, Snowden, J, Stephan, Da, Toulson, G, Turner, Mr, Warren, Jd, Young, K, Weng, Yh, Kuo, Hc, Lai, Sc, Huang, Cl, Camuzat, A, Entraingues, L, Guillot, Noël, Verpillat, P, Blanc, F, Camu, W, Clerget Darpoux, F, Corcia, P, Couratier, P, Didic, M, Dubois, B, Duyckaerts, C, Guedj, E, Golfier, V, Habert, Mo, Hannequin, D, Lacomblez, L, Meininger, V, Salachas, F, Levy, R, Michel, Bf, Pasquier, F, Puel, M, Thomas Anterion, C, Sellal, F, Vercelletto, M, Moglia, C, Cammarosano, S, Canosa, A, Gallo, S, Brunetti, M, Ossola, I, Marinou, K, Papetti, L, Pisano, F, Pinter, Gl, Conte, A, Luigetti, M, Zollino, M, Lattante, S, Marangi, G, la Bella, V, Spataro, R, Colletti, T, Battistini, S, Ricci, C, Caponnetto, C, Mancardi, G, Mandich, P, Salvi, F, Bartolomei, I, Mandrioli, J, Sola, P, Lunetta, C, Penco, S, Monsurro', Maria Rosaria, Tedeschi, Gioacchino, Conforti, Fl, Gambardella, A, Quattrone, A, Volanti, P, Floris, G, Cannas, A, Piras, V, Marrosu, F, Marrosu, Mg, Murru, Mr, Pugliatti, M, Parish, Ld, Sotgiu, A, Solinas, G, Ulgheri, L, Ticca, A, Simone, I, Logroscino, G, Hernandez, Dg, Arepalli, S, Sabatelli, M, Mora, G, Corbo, M, Giannini, F, Calvo, A, Englund, E, Borghero, G, Floris, Gl, Remes, Am, Laaksovirta, H, Mccluskey, L, Trojanowski, Jq, Van Deerlin, Vm, Schellenberg, Gd, Nalls, Ma, Drory, Ve, Lu, C, Yeh, Th, Ishiura, H, Takahashi, Y, Tsuji, S, Le Ber, I, Brice, A, Drepper, C, Williams, N, Kirby, J, Shaw, P, Hardy, J, Tienari, Pj, Heutink, P, Morris, Hr, Pickering Brown, S, and Traynor, Bj

Published
2012

24. A standardized [18F]-FDG-PET template for spatial normalization in statistical parametric mapping of dementia

Author

Della Rosa, Pa, Cerami, C, Gallivanone, F, Prestia, A, Caroli, A, Castiglioni, I, Gilardi, Mc, Frisoni, G, Friston, K, Ashburner, J, Perani, D, Drzezga, A, Perneczky, R, Didic, M, Guedj, E, Van Berckel, Bn, Ossenkoppele, R, Nobili, FLAVIO MARIANO, Morbelli, Silvia, Caroli, A., Della Rosa Pasquale, Anthony, Cerami, Chiara, Gallivanone, Francesca, Prestia, Annapaola, Caroli, Anna, Castiglioni, Isabella, Gilardi Maria, Carla, Frisoni, Giovanni, Friston, Karl, Ashburner, John, Perani, DANIELA FELICITA L., Della Rosa, P, Cerami, C, Gallivanone, F, Prestia, A, Caroli, A, Castiglioni, I, Gilardi, M, Frisoni, G, Friston, K, Ashburner, J, and Perani, D

Subjects
Male, Image Processing, computer.software_genre, ddc:616.89, Computer-Assisted, Brain/radionuclide imaging, Voxel, 80 and over, Image Processing, Computer-Assisted, Mild Cognitive Impairment/physiopathology/psychology/radionuclide imaging, Aged, 80 and over, Brain Mapping, medicine.diagnostic_test, Dementia/physiopathology/psychology/radionuclide imaging, General Neuroscience, Brain, Middle Aged, Positron emission tomography, Female, Psychology, 18F-FDG PET, Information Systems, Normalization (statistics), Image Processing, Computer-Assisted/methods, F-FDG PET, Statistical parametric mapping, Sensitivity and Specificity, Spatial normalization, Neuroimaging, Fluorodeoxyglucose F18, Brain Mapping/methods, medicine, 18F-FDG PET SPM (RRID:nif-0000-00343) Spatial normalization Template Dementia, Dementia, Humans, Cognitive Dysfunction, Aged, SPM (RRID:nif-0000-00343), Template, Case-Control Studies, Positron-Emission Tomography, Software, Neuroscience (all), business.industry, Dementia with Lewy bodies, medicine.disease, Positron-Emission Tomography/methods, Nuclear medicine, business, computer
Abstract

[18F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [18F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a “spatial normalization” of an individual’s PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [15O]-H2O images and does not resemble either the specific metabolic features of [18F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [18F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template—at the single-subject and group level—independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer’s Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure.

Published
2014
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25. Brain FDG-PET analysis in patients suspected with Alzheimer's disease: comparison between computer-aided reading using SPM and BRASS.

Author

Trombella, S., Antelmi, L., Bosco, P., Redolfi, A., Tabouret-Viaud, C., Rager, O., Gold, G., Giannakopoulos, P., Ratib, O., Morbelli, S., Nobili, F. M., Perneczky, R., Didic, M., Guedj, E., Drzezga, A., Ossenkoppele, R., van Berckel, B., Frisoni, G. B., Garibotto, V., Trombella, S., Antelmi, L., Bosco, P., Redolfi, A., Tabouret-Viaud, C., Rager, O., Gold, G., Giannakopoulos, P., Ratib, O., Morbelli, S., Nobili, F. M., Perneczky, R., Didic, M., Guedj, E., Drzezga, A., Ossenkoppele, R., van Berckel, B., Frisoni, G. B., and Garibotto, V.

Published
2016

26. 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

27. Longitudinal reproducibility of default-mode network connectivity in healthy elderly participants: A multicentric resting-state fMRI study

Author

Jovicich, J, Minati, L, Marizzoni, M, Marchitelli, R, Sala Llonch, R, Bartrés Faz, D, Arnold, J, Benninghoff, J, Fiedler, U, Roccatagliata, L, Picco, A, Nobili, F, Blin, O, Bombois, S, Lopes, R, Bordet, R, Sein, J, Ranjeva, J, Didic, M, Gros Dagnac, H, Payoux, P, Zoccatelli, G, Alessandrini, F, Beltramello, A, Bargalló, N, Ferretti, A, Caulo, M, Aiello, M, Cavaliere, C, Soricelli, A, Parnetti, L, Tarducci, R, Floridi, P, Tsolaki, M, Constantinidis, M, Drevelegas, A, Rossini, Paolo Maria, Marra, Camillo, Schönknecht, P, Hensch, T, Hoffmann, K, Kuijer, Jp, Visser, Pj, Barkhof, F, Frisoni, Gb, Rossini, Paolo Maria (ORCID:0000-0003-2665-534X), Marra, Camillo (ORCID:0000-0003-3994-4044), Jovicich, J, Minati, L, Marizzoni, M, Marchitelli, R, Sala Llonch, R, Bartrés Faz, D, Arnold, J, Benninghoff, J, Fiedler, U, Roccatagliata, L, Picco, A, Nobili, F, Blin, O, Bombois, S, Lopes, R, Bordet, R, Sein, J, Ranjeva, J, Didic, M, Gros Dagnac, H, Payoux, P, Zoccatelli, G, Alessandrini, F, Beltramello, A, Bargalló, N, Ferretti, A, Caulo, M, Aiello, M, Cavaliere, C, Soricelli, A, Parnetti, L, Tarducci, R, Floridi, P, Tsolaki, M, Constantinidis, M, Drevelegas, A, Rossini, Paolo Maria, Marra, Camillo, Schönknecht, P, Hensch, T, Hoffmann, K, Kuijer, Jp, Visser, Pj, Barkhof, F, Frisoni, Gb, Rossini, Paolo Maria (ORCID:0000-0003-2665-534X), and Marra, Camillo (ORCID:0000-0003-3994-4044)

Abstract

To date, limited data are available regarding the inter-site consistency of test-retest reproducibility of functional connectivity measurements, in particular with regard to integrity of the Default Mode Network (DMN) in elderly participants. We implemented a harmonized resting-state fMRI protocol on 13 clinical scanners at 3.0T using vendor-provided sequences. Each site scanned a group of 5 healthy elderly participants twice, at least a week apart. We evaluated inter-site differences and test-retest reproducibility of both temporal signal-to-noise ratio (tSNR) and functional connectivity measurements derived from: i) seed-based analysis (SBA) with seed in the posterior cingulate cortex (PCC), ii) group independent component analysis (ICA) separately for each site (site ICA), and iii) consortium ICA, with group ICA across the whole consortium. Despite protocol harmonization, significant and quantitatively important inter-site differences remained in the tSNR of resting-state fMRI data; these were plausibly driven by hardware and pulse sequence differences across scanners which could not be harmonized. Nevertheless, the tSNR test-retest reproducibility in the consortium was high (ICC=0.81). The DMN was consistently extracted across all sites and analysis methods. While significant inter-site differences in connectivity scores were found, there were no differences in the associated test-retest error. Overall, ICA measurements were more reliable than PCC-SBA, with site ICA showing higher reproducibility than consortium ICA. Across the DMN nodes, the PCC yielded the most reliable measurements (≈4% test-retest error, ICC=0.85), the medial frontal cortex the least reliable (≈12%, ICC=0.82) and the lateral parietal cortices were in between (site ICA). Altogether these findings support usage of harmonized multisite studies of resting-state functional connectivity to characterize longitudinal effects in studies that assess disease progression and treatment response.

Published
2016

29. 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

31. 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

32. Longitudinal reproducibility of automatically segmented hippocampal subfields: A multisite European 3T study on healthy elderly

Author

Marizzoni, M, Antelmi, L, Bosch, B, Bartrés-Faz, D, Müller, BW, Wiltfang, J, Fiedler, U, Roccatagliata, L, Picco, A, Nobili, F, Blin, O, Bombois, S, Lopes, R, Sein, J, Ranjeva, J, Didic, M, Gros-Dagnac, H, Payoux, P, Zoccatelli, G, Alessandrini, F, Beltramello, A, Bargalló, N, Ferretti, A, Caulo, M, Aiello, M, Cavaliere, C, Soricelli, A, Salvadori, N, Parnetti, L, Tarducci, R, Floridi, P, Tsolaki, M, Constantinidis, M, Drevelegas, A, ROSSINI, PAOLO MARIA, Marra, C, Hoffmann, K, Hensch, T, Schönknecht, P, Kuijer, JP, Visser, PJ, Barkhof, F, Bordet, R, Frisoni, GB, Jovicich, J, Marizzoni, M, Antelmi, L, Bosch, B, Bartrés-Faz, D, Müller, BW, Wiltfang, J, Fiedler, U, Roccatagliata, L, Picco, A, Nobili, F, Blin, O, Bombois, S, Lopes, R, Sein, J, Ranjeva, J, Didic, M, Gros-Dagnac, H, Payoux, P, Zoccatelli, G, Alessandrini, F, Beltramello, A, Bargalló, N, Ferretti, A, Caulo, M, Aiello, M, Cavaliere, C, Soricelli, A, Salvadori, N, Parnetti, L, Tarducci, R, Floridi, P, Tsolaki, M, Constantinidis, M, Drevelegas, A, ROSSINI, PAOLO MARIA, Marra, C, Hoffmann, K, Hensch, T, Schönknecht, P, Kuijer, JP, Visser, PJ, Barkhof, F, Bordet, R, Frisoni, GB, and Jovicich, J

Published
2015

33. Performance of [18F]FDG-PET in 142 MCI pazients with at least 2 years clinical follow up: a multicentric study of the European Alzheimer Disease Consortium (EADC)

Author

Picco, A., Bossert, I., Buschiazzo, A., Frisoni, G. B., Caroli, A., van Berckel, B. N. M., Ossenkoppele, R., Drzezga, A., Perneczky, R., Didic, M., Guedj, E., Brugnolo, A., Bottoni, G., Arnaldi, D., Pagani, M., Sambuceti, G., Morbelli, S., Nobili, F., Picco, A., Bossert, I., Buschiazzo, A., Frisoni, G. B., Caroli, A., van Berckel, B. N. M., Ossenkoppele, R., Drzezga, A., Perneczky, R., Didic, M., Guedj, E., Brugnolo, A., Bottoni, G., Arnaldi, D., Pagani, M., Sambuceti, G., Morbelli, S., and Nobili, F.

Published
2014

34. 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

41. Frequency and Phenotypes Associated with C9ORF72 Repeat Expansion in French FTLD and FTLD-ALS Patients (S54.003)

Author

Le Ber, I., primary, Camuzat, A., additional, Guillot-Noel, L., additional, Guedj, E., additional, Hannequin, D., additional, Wargon, I., additional, Couratier, P., additional, Deramecourt, V., additional, Berger, E., additional, Viennet, G., additional, Pasquier, F., additional, Lacomblez Aurousseau, L., additional, Salachas, F., additional, Martinaud, O., additional, Golfier, V., additional, Puel, M., additional, Vercelletto, M., additional, Didic, M., additional, Sauvee, M., additional, Sellal, F., additional, Thomas-Anterion, C., additional, Campion, D., additional, Michel, B., additional, Dubois, B., additional, Camu, W., additional, Seilhean, D., additional, Meininger, V., additional, Habert, M.-O., additional, Duyckaerts, C., additional, and Brice, A., additional

Published
2012
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42. Fréquence et phénotypes associés aux mutations du gène c9orf72 dans une cohorte française de patients atteints de DLFT

Author

Le Ber, I., primary, Camuzat, A., additional, Hannequin, D., additional, Lacomblez, L., additional, Couratier, P., additional, Guillot-Noel, L., additional, Habert, M.O., additional, Seilhean, D., additional, Golfier, V., additional, Puel, M., additional, Martinaud, O., additional, Deramecourt, V., additional, Vercelletto, M., additional, Sellal, F., additional, Pasquier, F., additional, Salachas, F., additional, Thomas-Anterion, C., additional, Didic, M., additional, Pariente, J., additional, Wargon, I., additional, Blanc, F., additional, Michel, B.F., additional, Berger, E., additional, Sauvee, M., additional, Mondon, K., additional, Fleury, M., additional, Meininger, V., additional, Duyckaerts, C., additional, Dubois, B., additional, Guedj, E., additional, and Brice, A., additional

Published
2012
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48. Brain SPECT perfusion of frontotemporal dementia associated with motor neuron disease

Author

Abe, K., primary, Guedj, E ., additional, Ber, I. L., additional, Lacomblez, L ., additional, Dubois, B ., additional, Verpillat, P ., additional, Didic, M ., additional, Salachas, F ., additional, Vera, P ., additional, Hannequin, D ., additional, Lotterie, J .-A., additional, Puel, M ., additional, Decousus, M ., additional, Thomas-Anterion, C ., additional, Magne, C ., additional, Vercelletto, M ., additional, Bernard, A .-M., additional, Golfier, V ., additional, Pasquier, J ., additional, Michel, B .-F., additional, Namer, I ., additional, Sellal, F ., additional, Bochet, J ., additional, Volteau, M ., additional, Brice, A ., additional, Meininger, V ., additional, and Habert, M .-O., additional

Published
2008
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49. Mutations du gène de la progranuline dans les démences frontotemporales : fréquence, spectre mutationnel et phénotypes associés

Author

Le Ber, I., primary, Camuzat, A., additional, Hannequin, D., additional, Pasquier, F., additional, van der Zee, J., additional, Campion, D., additional, Puel, M., additional, Laquerrière, A., additional, Sellal, F., additional, Lacomblez, L., additional, Vercelletto, M., additional, Thomas-Antérion, C., additional, Michel, B.-F., additional, Golfier, V., additional, Didic, M., additional, Salachas, F., additional, Duyckaerts, Ch., additional, Cruts, M., additional, Verpillat, P., additional, Van Broeckhoven, Ch., additional, Dubois, B., additional, and Brice, A., additional

Published
2007
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