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17 citation(s) found for "Modat, Marc".

IC‐P‐165: ROBUST IDENTIFICATION OF BRAIN STRUCTURES MOST DISCRIMINATIVE IN DETECTING EARLY CHANGES IN AUTOSOMAL DOMINANT ALZHEIMER'S DISEASE
Veale, Thomas , Altmann, André , Network, Dominantly Inherited Alzheimer, Molteni, Erika , Cardoso, M. Jorge , Benzinger, Tammie L.S. , Jack, Clifford R. , McDade, Eric , Morris, John C. , Rossor, Martin N. , Ourselin, Sébastien , Fox, Nick C. , Cash, David M. , Modat, Marc , Network, Dominantly Inherited Alzheimer

Mayo Clinic

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_2 | Pages: No page available

10.1016/j.jalz.2018.06.2232 Get It

IC‐P‐048: SAMPLE SIZE ESTIMATES FOR SECONDARY PREVENTION STUDIES USING REGIONAL ATROPHY RATES
Veale, Thomas , Poole, Teresa, Network, Dominantly Inherited Alzheimer, Cash, David M. , Modat, Marc , Molteni, Erika , Cardoso, M. Jorge , Benzinger, Tammie L.S. , Jack, Clifford R. , McDade, Eric , Bateman, Randall J. , Morris, John C. , Rossor, Martin N. , Ourselin, Sébastien , Frost, Chris , Fox, Nick C. , Network, Dominantly Inherited Alzheimer

Mayo Clinic

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_1 | Pages: No page available

10.1016/j.jalz.2018.06.2112 Get It

P2‐438: ROBUST IDENTIFICATION OF BRAIN STRUCTURES MOST DISCRIMINATIVE IN DETECTING EARLY CHANGES IN AUTOSOMAL DOMINANT ALZHEIMER'S DISEASE
Veale, Thomas , Altmann, André , (DIAN), Dominantly Inherited Alzheimer Network, Molteni, Erika , Cardoso, M. Jorge , Benzinger, Tammie L.S. , Jack, Clifford R. , McDade, Eric , Morris, John C. , Rossor, Martin N. , Ourselin, Sébastien , Fox, Nick C. , Cash, David M. , Modat, Marc , (DIAN), Dominantly Inherited Alzheimer Network

Mayo Clinic

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_16 | Pages: No page available

10.1016/j.jalz.2018.06.1130 Get It

P1‐410: SAMPLE SIZE ESTIMATES FOR SECONDARY PREVENTION STUDIES USING REGIONAL ATROPHY RATES
Veale, Thomas , Poole, Teresa, (DIAN), Dominantly Inherited Alzheimer Network, Cash, David M. , Modat, Marc , Molteni, Erika , Cardoso, M. Jorge , Benzinger, Tammie L.S. , Jack, Clifford R. , McDade, Eric , Bateman, Randall J. , Morris, John C. , Rossor, Martin N. , Ourselin, Sébastien , Frost, Chris , Fox, Nick C. , (DIAN), Dominantly Inherited Alzheimer Network

Mayo Clinic

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_8 | Pages: No page available

10.1016/j.jalz.2018.06.419 Get It

[IC‐P‐150]: CHARACTERISING PRESYMPTOMATIC ATROPHY PATTERNS THROUGH MULTIVARIATE MACHINE LEARNING
Veale, Thomas , (DIAN), the Dominantly Inherited Alzheimer Network, Wallon, David , Ridgway, Gerard R. , Benzinger, Tammie L.S. , Jack, Clifford R. , Bateman, Randall J. , Morris, John C. , Weston, Philip S.J. , Rossor, Martin N. , Ourselin, Sébastien , Modat, Marc , Fox, Nick C. , Cash, David M. , (DIAN), the Dominantly Inherited Alzheimer Network

Mayo Clinic

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_2 | Pages: No page available

10.1016/j.jalz.2017.06.2424 Get It

[O1–02–02]: CHARACTERISING PRESYMPTOMATIC ATROPHY PATTERNS THROUGH MULTIVARIATE MACHINE LEARNING
Veale, Thomas , Weston, Philip SJ., (DIAN), The Dominantly Inherited Alzheimer Network, Wallon, David , Ridgway, Gerard R. , Benzinger, Tammie L.S. , Jack, Clifford R. , Bateman, Randall J. , Morris, John C. , Weston, Philip S.J. , Rossor, Martin N. , Ourselin, Sébastien , Modat, Marc , Fox, Nick C. , Cash, David M. , (DIAN), The Dominantly Inherited Alzheimer Network

Mayo Clinic

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_3 | Pages: No page available

10.1016/j.jalz.2017.07.040 Get It

Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study
Kinnunen, Kirsi M. , Cash, David M. , Poole, Teresa, Frost, Chris , Benzinger, Tammie L.S. , Ahsan, R. Laila, Leung, Kelvin K., Cardoso, M. Jorge , Modat, Marc , Malone, Ian B. , Morris, John C. , Bateman, Randall J. , Marcus, Daniel S. , Goate, Alison , Salloway, Stephen , Correia, Stephen , Chhatwal, Jasmeer P. , Mayeux, Richard , Martins, Ralph N. , Farlow, Martin R. , Saykin, Andrew J. , Jack, Clifford R. , Schofield, Peter R. , Weiner, Michael W. , Ringman, John M. , Thompson, Paul M. , Masters, Colin L. , Rossor, Martin N. , Ourselin, Sébastien , Fox, Nick C. , (DIAN), Dominantly Inherited Alzheimer Network, Sperling, Reisa Anne , Brickman, Adam M. , Ghetti, Bernardino , McDade, Eric , Rowe, Christopher Cleon , (DIAN), Dominantly Inherited Alzheimer Network, Jack, Clifford R , Saykin, Andrew J , Schofield, Peter R , Thompson, Paul M , Bateman, Randall J , Masters, Colin L , Benzinger, Tammie L S , Fox, Nick C , Morris, John C , Cash, David M , Goate, Alison M

Mayo Clinic

Alzheimer's & Dementia | July 22, 2017 | Volume: 14 | Issue: 1 | Pages: 43-53

10.1016/j.jalz.2017.06.2268 | PMID 28738187 Get It

Abstract Introduction Identifying at what point atrophy rates first change in Alzheimer's disease is important for informing design of presymptomatic trials. Methods Serial T1‐weighted magnetic resonance imaging scans of 94 participants (28 noncarriers, 66 carriers) from the Dominantly Inherited Alzheimer Network were used to measure brain, ventricular, and hippocampal atrophy rates. For each structure, nonlinear mixed‐effects models estimated the change‐points when atrophy rates deviate from normal and the rates of change before and after this point. Results Atrophy increased after the change‐point, which occurred 1–1.5 years (assuming a single step change in atrophy rate) or 3–8 years (assuming gradual acceleration of atrophy) before expected symptom onset. At expected symptom onset, estimated atrophy rates were at least 3.6 times than those before the change‐point. Discussion Atrophy rates are pathologically increased up to seven years before “expected onset”. During this period, atrophy rates may be useful for inclusion and tracking of disease progression.
Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2
Jack, Clifford R. , Barnes, Josephine , Bernstein, Matt A. , Borowski, Bret, Brewer, James, Clegg, Shona , Dale, Anders M. , Carmichael, Owen , Ching, Christopher R. K. , DeCarli, Charles , Desikan, Rahul S. , Fennema‐Notestine, Christine , Fjell, Anders M. , Fox, Nick C. , Gunter, Jeff, Holland, Dominic , Hua, Xue , Kantarci, Kejal , Krueger, Gunnar, Leung, Kelvin K., Mackin, Scott, Maillard, Pauline , Malone, Ian B. , Mattsson, Niklas , McEvoy, Linda K. , Modat, Marc , Mueller, Susanne G. , Nosheny, Rachel L. , Ourselin, Sébastien , Schuff, Norbert, Senjem, Matthew L. , Simonson, Alix, Thompson, Paul M. , Rettmann, Dan , Vemuri, Prashanthi , Walhovd, Kristine B. , Zhao, Yansong , Zuk, Samantha M., Weiner, Michael W. , DeCarli, Charles , Borowski, Bret J, Zuk, Samantha, Fletcher, Evan M. , Gutman, Boris A , Insel, Philip S. , Killiany, Ronald , Bernstein, Matt A , Jack, Clifford R , Vemuri, Prashanthi , Dale, Anders M , Thompson, Paul M , Senjem, Matthew L , Ching, Christopher R K , Kantarci, Kejal , Fox, Nick C , Maillard, Pauline

Mayo Clinic

Alzheimer's & Dementia | July 17, 2015 | Volume: 11 | Issue: 7 | Pages: 740-756

10.1016/j.jalz.2015.05.002 | PMID 26194310 Get It

AbstractIntroductionAlzheimer's Disease Neuroimaging Initiative (ADNI) is now in its 10th year. The primary objective of the magnetic resonance imaging (MRI) core of ADNI has been to improve methods for clinical trials in Alzheimer's disease (AD) and related disorders.MethodsWe review the contributions of the MRI core from present and past cycles of ADNI (ADNI‐1, ‐Grand Opportunity and ‐2). We also review plans for the future‐ADNI‐3.ResultsContributions of the MRI core include creating standardized acquisition protocols and quality control methods; examining the effect of technical features of image acquisition and analysis on outcome metrics; deriving sample size estimates for future trials based on those outcomes; and piloting the potential utility of MR perfusion, diffusion, and functional connectivity measures in multicenter clinical trials.DiscussionOver the past decade the MRI core of ADNI has fulfilled its mandate of improving methods for clinical trials in AD and will continue to do so in the future.