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216 citation(s) found for "Wa, Rocca".

FTS‐03‐02: Half a century of medical records linkage in the rochester epidemiology project
Rocca, Walter A.

Alzheimer's & Dementia | December 15, 2015 | Volume: 11 | Issue: 7S_Part_4 | Pages: No page available

10.1016/j.jalz.2015.07.125 Get It

IC‐P‐151: Longitudinal outcomes and profiles of distinct biomarker clusters based on vascular disease, neurodegeneration, and amyloid deposition
Przybelski, Scott A. , Lesnick, Timothy G. , Roberts, Rosebud O., Lowe, Val J. , Rocca, Walter A. , Petersen, Ronald C. , Vemuri, Prashanthi , Knopman, David S. , Machulda, Mary M. , Mielke, Michelle M. , Geda, Yonas E. , Jack, Clifford R.

Alzheimer's & Dementia | December 15, 2015 | Volume: 11 | Issue: 7S_Part_2 | Pages: No page available

10.1016/j.jalz.2015.06.174 Get It

Association of Elevated Amyloid Levels With Cognition and Biomarkers in Cognitively Normal People From the Community
Petersen, Ronald C. , Wiste, Heather J. , Weigand, Stephen D. , Rocca, Walter A. , Roberts, Rosebud O., Lowe, Val J. , Geda, Yonas E. , Jack, Clifford R. , Mielke, Michelle M. , Knopman, David S. , Pankratz, V. Shane , Machulda, Mary M. , Jack, Clifford R , Geda, Yonas E

JAMA Neurology | November 23, 2015 | Volume: 73 | Issue: 1 | Pages: 85

10.1001/jamaneurol.2015.3098 | PMID 26595683 Get It

Regional cortical thinning in multiple sclerosis and its relation with cognitive impairment: A multicenter study
Tillema, JM, Hulst, Hanneke E. , Rocca, Maria A. , Vrenken, Hugo , Steenwijk, MD, Damjanovic, Dusan , Tedeschi, Gioacchino , Gallo, Antonio , Ciccarelli, Olga , Montalbán, Xavier , Stefano, Nicola De , Stromillo, ML, Filippi, Massimo , Barkhof, Frederik , Group, on behalf of the MAGNIMS Study, Tillema, JM, Enzinger, Christian , Ropele, Stefan , Rovira, Àlex , Group, on behalf of the MAGNIMS Study, Filippi, Massimo , Barkhof, Frederik , Rocca, Maria A , Ciccarelli, Olga

Multiple Sclerosis Journal | October 2, 2015 | Volume: 22 | Issue: 7 | Pages: 901-909

10.1177/1352458515607650 | PMID 26432859 Get It

Objectives: The objectives of this paper are to compare in a multicenter setting patterns of regional cortical thickness in patients with relapsing–remitting multiple sclerosis (RRMS) and cognitive impairment (CI) and those cognitively preserved (CP), and explore the relationship between cortical thinning and cognitive performance. Methods: T1-weighted isotropic brain scans were collected at 3T from seven European centers in 60 RRMS patients and 65 healthy controls (HCs). Patients underwent clinical and neuropsychological examinations. Cortical thickness (CTh) measures were calculated using FreeSurfer (failing in four) and both lobar and vertex-based general linear model (GLM) analyses were compared between study groups. Results: Twenty (36%) MS patients were classified as CI. Mean global CTh was smaller in RRMS patients compared to HCs (left 2.43 vs. 2.53 mm, right 2.44 vs. 2.54 mm, p < 0.001). Multivariate GLM regional analysis showed significantly more temporal thinning in CI compared to CP patients. Verbal memory scores correlated to regional cortical thinning in the insula whereas visual memory scores correlated to parietal thinning. Conclusions: This multicenter study showed mild global cortical thinning in RRMS. The extent of thinning is less pronounced than previously reported. Only subtle regional differences between CI and CP patients were observed, some of which related to specific cognitive domains.
Sex Differences Research, Precision Medicine, and the Future of Women's Health
Miller, Virginia M. , Rocca, Walter A. , Faubion, Stephanie S.

Journal of Women's Health | September 1, 2015 | Volume: 24 | Issue: 12 | Pages: 969-971

10.1089/jwh.2015.5498 | PMID 26325362 Get It

The National Institutes of Health's (NIH) commitment to improving health outcomes for women and men through rigorous science has been compromised by the lack of basic science evidence obtained from female animals. To correct this limitation, in June 2015 the NIH announced expectations that “sex,” as a biological variable, be included into research design and analysis in studies of vertebrate animals and humans (NOT-OD-15-102). Scientists must take the responsibility to implement this directive. However, in doing so, there is a risk that attention could be restricted to only studies of direct comparison between female/women and male/men. By contrast, understanding how sex influences health and disease needs to take a programmatic approach that includes the study of sex-specific conditions. A programmatic approach will assure the advancement of knowledge to improve women's health.
Long-term health consequences of premature or early menopause and considerations for management
Kuhle, Carol L. , Shuster, Lynne T., Rocca, Walter A. , Faubion, Stephanie S.

Climacteric | April 7, 2015 | Volume: 18 | Issue: 4 | Pages: 483-491

10.3109/13697137.2015.1020484 | PMID 25845383 Get It

Predicting the risk of mild cognitive impairment in the Mayo Clinic Study of Aging
Roberts, Rosebud O., Mielke, Michelle M. , Jack, Clifford R. , Geda, Yonas E. , Rocca, Walter A. , Petersen, Ronald C. , Pankratz, V. Shane , Knopman, David S. , Jack, Clifford R , Mielke, Michelle M , Geda, Yonas E

Neurology | March 18, 2015 | Volume: 84 | Issue: 14 | Pages: 1433-1442

10.1212/wnl.0000000000001437 | PMID 25788555 Get It

Independent comparison of CogState computerized testing and a standard cognitive battery with neuroimaging
Weigand, Stephen D. , Wiste, Heather J. , Vemuri, Prashanthi , Knopman, Davis S., Lowe, Val J. , Roberts, Rosebud O., Kantarci, Kejal , Rocca, Walter A. , Petersen, Ronald C. , Mielke, Michelle M. , Machulda, Mary M. , Jack, Clifford R. , Vemuri, Prashanthi , Kantarci, Kejal

Alzheimer's & Dementia | November 15, 2014 | Volume: 10 | Issue: 6 | Pages: 779-789

10.1016/j.jalz.2014.09.001 | PMID 25458308 Get It

AbstractBackgroundInexpensive, non‐invasive tools for assessing Alzheimer‐type pathophysiologies are needed. Computerized cognitive assessments are prime candidates.MethodsCognitively normal participants, aged 51–71, with magnetic resonance imaging, fluorodeoxyglucose‐positron emission tomography (FDG‐PET), amyloid PET, CogState computerized cognitive assessment, and standard neuropsychological tests were included. We first examined the association between the CogState battery and neuroimaging measures. We then compared that association to the one between standard neuropsychological z‐scores and neuroimaging.ResultsSlower reaction times for CogState Identification and One Back, and lower memory and attention z‐scores, were associated (P < .05) with FDG‐PET hypometabolism. Slower time on the Groton Maze Learning Task and worse One Card Learning accuracy were associated (P < .05) with smaller hippocampal volumes. There were no associations with amyloid PET. Associations of CogState and neuropsychological Z‐scores with neuroimaging were small and of a similar magnitude.ConclusionsCogState subtests were cross‐sectionally comparable to standard neuropsychological tests in their relatively weak associations with neurodegeneration imaging markers.