TY - JOUR
T1 - Open access series of imaging studies
T2 - Longitudinal MRI data in nondemented and demented older adults
AU - Marcus, Daniel S.
AU - Fotenos, Anthony F.
AU - Csernansky, John G.
AU - Morris, John C.
AU - Buckner, Randy L.
N1 - Funding Information:
The authors thank the Washington University ADRC and the Conte Center for clinical assistance and participant recruitment; Elizabeth Grant for assistance with data preparation; Susan Larson, Amy Sanders, Laura Williams, Jamie Parker, and Glenn Foster for assistance with MRI data collection; Avi Snyder for development of analytic techniques; and Tim Olsen, Mohana Ramaratnam, Kevin Archie, and Mikhail Milchenko for development of database and Web tools. Anders Dale assisted with the original selection of imaging parameters. The acquisition of this data and the support for data analysis and management were provided by the National Institutes of Health grant nos. P50 AG05681, P01 AG03991, R01 AG021910, P20 MH071616, RR14075, RR 16594, and BIRN002; the Alzheimerʼs Association; the James S. McDonnell Foundation; the Mental Illness and Neuroscience Discovery Institute; and the Howard Hughes Medical Institute.
Funding Information:
The authors thank the Washington University ADRC and the Conte Center for clinical assistance and participant recruitment; Elizabeth Grant for assistance with data preparation; Susan Larson, Amy Sanders, Laura Williams, Jamie Parker, and Glenn Foster for assistance with MRI data collection; Avi Snyder for development of analytic techniques; and Tim Olsen, Mohana Ramaratnam, Kevin Archie, and Mikhail Milchenko for development of database and Web tools. Anders Dale assisted with the original selection of imaging parameters. The acquisition of this data and the support for data analysis and management were provided by the National Institutes of Health grant nos. P50 AG05681, P01 AG03991, R01 AG021910, P20 MH071616, RR14075, RR 16594, and BIRN002; the Alzheimer?s Association; the James S. McDonnell Foundation; the Mental Illness and Neuroscience Discovery Institute; and the Howard Hughes Medical Institute.
PY - 2010/12
Y1 - 2010/12
N2 - The Open Access Series of Imaging Studies is a series of neuroimaging data sets that are publicly available for study and analysis. The present MRI data set consists of a longitudinal collection of 150 subjects aged 60 to 96 years all acquired on the same scanner using identical sequences. Each subject was scanned on two or more visits, separated by at least 1 year for a total of 373 imaging sessions. Subjects were characterized using the Clinical Dementia Rating (CDR) as either nondemented or with very mild tomild Alzheimer's disease. Seventy-two of the subjects were characterized as nondemented throughout the study. Sixty-four of the included subjects were characterized as demented at the time of their initial visits and remained so for subsequent scans, including 51 individuals with CDR 0.5 similar level of impairment to individuals elsewhere considered to have "mild cognitive impairment." Another 14 subjects were characterized as nondemented at the time of their initial visit (CDR 0) and were subsequently characterized as demented at a later visit (CDR > 0). The subjects were all right-handed and include bothmen (n=62) and women (n = 88). For each scanning session, three or four individual T1-weighted MRI scans were obtained. Multiple withinsession acquisitions provide extremely high contrast to noise, making the data amenable to a wide range of analytic approaches including automated computational analysis. Automated calculation of whole-brain volume is presented to demonstrate use of the data for measuring differences associated with normal aging and Alzheimer's disease.
AB - The Open Access Series of Imaging Studies is a series of neuroimaging data sets that are publicly available for study and analysis. The present MRI data set consists of a longitudinal collection of 150 subjects aged 60 to 96 years all acquired on the same scanner using identical sequences. Each subject was scanned on two or more visits, separated by at least 1 year for a total of 373 imaging sessions. Subjects were characterized using the Clinical Dementia Rating (CDR) as either nondemented or with very mild tomild Alzheimer's disease. Seventy-two of the subjects were characterized as nondemented throughout the study. Sixty-four of the included subjects were characterized as demented at the time of their initial visits and remained so for subsequent scans, including 51 individuals with CDR 0.5 similar level of impairment to individuals elsewhere considered to have "mild cognitive impairment." Another 14 subjects were characterized as nondemented at the time of their initial visit (CDR 0) and were subsequently characterized as demented at a later visit (CDR > 0). The subjects were all right-handed and include bothmen (n=62) and women (n = 88). For each scanning session, three or four individual T1-weighted MRI scans were obtained. Multiple withinsession acquisitions provide extremely high contrast to noise, making the data amenable to a wide range of analytic approaches including automated computational analysis. Automated calculation of whole-brain volume is presented to demonstrate use of the data for measuring differences associated with normal aging and Alzheimer's disease.
UR - http://www.scopus.com/inward/record.url?scp=78649457203&partnerID=8YFLogxK
U2 - 10.1162/jocn.2009.21407
DO - 10.1162/jocn.2009.21407
M3 - Article
C2 - 19929323
AN - SCOPUS:78649457203
SN - 0898-929X
VL - 22
SP - 2677
EP - 2684
JO - Journal of Cognitive Neuroscience
JF - Journal of Cognitive Neuroscience
IS - 12
ER -