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Rossor, Martin N.

https://orcid.org/0000-0001-8215-3120

Mayo Clinic

UCL Queen Square Institute of Neurology

Citations 48

The Role of Variation at AβPP, PSEN1, PSEN2, and MAPT in Late Onset Alzheimer's Disease
Gerrish, Amy , Russo, Giancarlo , Richards, Alexander , Moskvina, Valentina, Ivanov, Dobril , Harold, Denise , Sims, Rebecca , Abraham, Richard, Hollingworth, Paul, Chapman, Jade , Hamshere, Marian L. , Pahwa, Jaspreet Singh, Dowzell, Kimberley, Jones, Nicola, Thomas, Charlene , Stretton, Alexandra, Morgan, Angharad R., Lovestone, Simon , Powell, John , Proitsi, Petroula , Brayne, Carol , Gill, Michael , Lynch, Aoibhinn, Morgan, Kevin , Brown, Kristelle, Passmore, Peter , Craig, David W. , McGuinness, Bernadette , Todd, Stephen , Johnston, Janet, Smith, A. David , Love, Seth , Kehoe, Patrick G. , Hardy, John , Mead, Simon , Fox, Nick C. , Rossor, Martin N. , Collinge, John, Maier, Wolfgang, Jessen, Frank , Kölsch, Heike, Schürmann, Britta, Bussche, Hendrik van den, Heuser, Isabella , Kornhuber, Johannes , Wiltfang, Jens , Dichgans, Martin , Frölich, Lutz, Hampel, Harald , Hüll, Michael, Goate, Alison , Kauwe, John, Cruchaga, Carlos , Nowotny, Petra, Morris, John C. , Mayo, Kevin H. , Livingston, Gill , Gurling, Hugh, McQuillin, Andrew , Gwilliam, Rhian, Deloukas, Panagiotis, Davies, Gail , Starr, John M. , Deary, Ian J. , Al‐Chalabi, Ammar , Shaw, Christopher E. , Tsolaki, Magda , Singleton, Andrew B., Guerreiro, Rita , Mühleisen, Thomas W. , Nöthen, Markus M. , Moebus, Susanne , Jöckel, Karl‐Heinz , Klopp, Norman, Wichmann, H‐Erich, Carrasquillo, Minerva M., Younkin, Steven G., Jones, Lesley , Holmans, Peter , O‘Donovan, Michael , Williams, Julie , Deloukas, Panos , Escott‐Price, Valentina , Denning, Nicola , Dichgans, Martin , Cruchaga, Carlos , Kornhuber, Johannes , Nöthen, Markus M , Hardy, John , Moebus, Susanne , Williams, Amy L. , Lupton, Michelle K. , Rubinsztein, David Chaim , LAWLOR, BRIAN A. , Holmes, Clive , Mann, David , Heun, Reinhard , Rujescu, Dan , Bass, Nicholas , Harris, Sarah , Carrasquillo, Minerva M. , Pankratz, V. Shane , Owen, Michael J. , Fox, Nick C , Morris, John C , Wiltfang, Jens , Al-Chalabi, Ammar , Tsolaki, Magda , Goate, Alison M , McQuillin, Andrew , Escott-Price, Valentina

Journal of Alzheimer's Disease | May 16, 2018 | Volume: 28 | Issue: 2 | Pages: 377-387

10.3233/jad-2011-110824 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

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

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

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

10.1016/j.jalz.2017.06.2268 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.
Habitual exercise levels are associated with cerebral amyloid load in presymptomatic autosomal dominant Alzheimer's disease
Brown, Belinda M. , Sohrabi, Hamid R. , Taddei, Kevin , Gardener, Samantha L. , Rainey‐Smith, Stephanie R. , Peiffer, Jeremiah J. , Xiong, Chengjie , Fagan, Anne M. , Benzinger, Tammie L.S. , Buckles, Virginia, Erickson, Kirk I. , Clarnette, Roger, Shah, Tejal , Masters, Colin L. , Weiner, Michael W. , Cairns, Nigel J., Rossor, Martin N. , Graff‐Radford, Neill R. , Salloway, Stephen , Vöglein, Jonathan , Laske, Christoph , Noble, James M. , Schofield, Peter R. , Bateman, Randall J. , Morris, John C. , Martins, Ralph N. , Schofield, Peter R , Bateman, Randall J , Masters, Colin L , Vöglein, Jonathan , Benzinger, Tammie L S , Morris, John C , Noble, James M

Alzheimer's & Dementia | May 11, 2017 | Volume: 13 | Issue: 11 | Pages: 1197-1206

10.1016/j.jalz.2017.03.008 Get It

AbstractIntroductionThe objective of this study was to evaluate the relationship between self‐reported exercise levels and Alzheimer's disease (AD) biomarkers, in a cohort of autosomal dominant AD mutation carriers.MethodsIn 139 presymptomatic mutation carriers from the Dominantly Inherited Alzheimer Network, the relationship between self‐reported exercise levels and brain amyloid load, cerebrospinal fluid (CSF) Aβ42, and CSF tau levels was evaluated using linear regression.ResultsNo differences in brain amyloid load, CSF Aβ42, or CSF tau were observed between low and high exercise groups. Nevertheless, when examining only those already accumulating AD pathology (i.e., amyloid positive), low exercisers had higher mean levels of brain amyloid than high exercisers. Furthermore, the interaction between exercise and estimated years from expected symptom onset was a significant predictor of brain amyloid levels.DiscussionOur findings indicate a relationship exists between self‐reported exercise levels and brain amyloid in autosomal dominant AD mutation carriers.
Consensus classification of posterior cortical atrophy
Crutch, Sebastian J. , Schott, Jonathan M. , Rabinovici, Gil D. , Murray, Melissa E. , Flier, Wiesje M. van der , Vandenberghe, Rik , Ahmed, Samrah , Bak, Thomas H. , Boeve, Bradley F., Butler, Christopher , Cappa, Stefano F. , Ceccaldi, Mathieu, Souza, Leonardo Cruz de , Dubois, Bruno, Félician, Olivier , Graff‐Radford, Jonathan , Graff‐Radford, Neill R. , Hof, Patrick R., Krolak‐Salmon, Pierre , Lehmann, Manja , Magnin, Éloi , Mendez, Mario F. , Nestor, Peter J. , Onyike, Chiadi U. , Pelak, Victoria S. , Pijnenburg, Yolande A.L. , Primativo, Silvia , Rossor, Martin N. , Ryan, Natalie S. , Scheltens, Philip , González, Aida Suárez, Tang‐Wai, David F. , Yong, Keir , Carrillo, María C. , Fox, Nick C. , Murray, Melissa, Snowden, Julie S. , Dickerson, Bradford Clark , Boeve, Bradley F. , Galasko, Douglas , Hof, Patrick R. , Shakespeare, Timothy J. , Gonzalez, Aida Suarez , Murray, Melissa E , van der Flier, Wiesje M , Scheltens, Philip , Fox, Nick C , Yong, Keir X X , Rabinovici, Gil D , Schott, Jonathan M , Pijnenburg, Yolande A L , Vandenberghe, Rik

Alzheimer's & Dementia | March 2, 2017 | Volume: 13 | Issue: 8 | Pages: 870-884

10.1016/j.jalz.2017.01.014 Get It

Abstract Introduction A classification framework for posterior cortical atrophy (PCA) is proposed to improve the uniformity of definition of the syndrome in a variety of research settings. Methods Consensus statements about PCA were developed through a detailed literature review, the formation of an international multidisciplinary working party which convened on four occasions, and a Web‐based quantitative survey regarding symptom frequency and the conceptualization of PCA. Results A three‐level classification framework for PCA is described comprising both syndrome‐ and disease‐level descriptions. Classification level 1 (PCA) defines the core clinical, cognitive, and neuroimaging features and exclusion criteria of the clinico‐radiological syndrome. Classification level 2 (PCA‐pure, PCA‐plus) establishes whether, in addition to the core PCA syndrome, the core features of any other neurodegenerative syndromes are present. Classification level 3 (PCA attributable to AD [PCA‐AD], Lewy body disease [PCA‐LBD], corticobasal degeneration [PCA‐CBD], prion disease [PCA‐prion]) provides a more formal determination of the underlying cause of the PCA syndrome, based on available pathophysiological biomarker evidence. The issue of additional syndrome‐level descriptors is discussed in relation to the challenges of defining stages of syndrome severity and characterizing phenotypic heterogeneity within the PCA spectrum. Discussion There was strong agreement regarding the definition of the core clinico‐radiological syndrome, meaning that the current consensus statement should be regarded as a refinement, development, and extension of previous single‐center PCA criteria rather than any wholesale alteration or redescription of the syndrome. The framework and terminology may facilitate the interpretation of research data across studies, be applicable across a broad range of research scenarios (e.g., behavioral interventions, pharmacological trials), and provide a foundation for future collaborative work.
IC‐P‐142: A Longitudinal Morphometric Study of Familial Alzheimer’s Disease: Results from Dian
Kinnunen, Kirsi M. , Network, The Dominantly Inherited Alzheimer, Cash, David M. , Ridgway, Gerard R. , Benzinger, Tammie L.S. , Wallon, David , Jack, Clifford R. , Bateman, Randall J. , Morris, John C. , Rossor, Martin N. , Ourselin, Sébastien , Fox, Nick C. , Network, The Dominantly Inherited Alzheimer

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_2 | Pages: No page available

10.1016/j.jalz.2016.06.172 Get It