Wayne State Study 10 Dataset

Overview

The Wayne State longitudinal data set (collected on 1.5T Siemens Magnetom scanner) for the Brain Aging in Detroit Longitudinal Study, comprises 114 extensively-sampled healthy individuals. The overarching aim of the Brain Aging in Detroit Longitudinal Study, is understanding the mechanisms driving human brain changes over the adult lifespan, identifying the risk factors and protective influences that modify the rate of change, and elucidating the relationships between changes in brain properties and cognitive performance. All participants were screened at baseline via a health questionnaire for the following conditions: presence of cardiovascular, neurological, or psychiatric disease, use of centrally acting medications, the habit of having three or more alcoholic drinks per day, as well as being minimally high school educated, native English speakers.

All participants underwent cognitive testing, and although the composition of testing batteries varied across cohorts, some tests are common to all: Cattell Culture Fair Intelligence Test, various forms of multiple-choice vocabulary tests (Educational Testing Service), tests of episodic memory and working memory. Cognitive variables are available to qualified investigators upon request.

This set of imaging data (T1 MPRAGE) have been collected on a 1.5T Siemens Magnetom system.

The complete dataset includes:

• 207 total anatomical scans (114 subjects at baseline x 4 sessions/subject x 1 T1 MPRAGE scan/session) over 4 waves of data collection. The number of participants (after attrition) per wave are as follows:
• Wave 2: N=37
• Wave 3: N=30
• Wave 4: N=26

Click here (pdf) for scan parameters.

Experimental Protocol

Subjects were instructed to remain still in the scanner, with eyes closed.

Data Release Download

Click here to get the demographics.

Click here to access the compressed Wayne State Study 10 dataset.

NITRC Download Instructions
In order to access the data, you must first register for an account with NITRC. After you have done so, click here to request access to the 1000 Functional Connectomes Project on NITRC. Users will be approved within 1 business day.

Personnel

Principal Investigator:

• Raz, N., Ph.D^{1, 2, 3}

Senior Personnel and Collaborators (Alphabetical order):

• Bender, A.R., Ph.D
• Dahle, C.L., Ph.D.^{1, 2}
• Daugherty, A.M., Ph.D.
• Ghisletta, P., Ph.D.
• Haacke, E.M., Ph.D.
• Kennedy, K.M., Ph.D.
• Lindenberger, U., Ph.D.
• Rodrigue, K.M., Ph.D.
• Stanley, J.A., Ph.D.⁴
• Yang, Y., Ph.D.
• Yuan, P., Ph.D.

^*please send correspondence to Naftali Raz (nraz@wayne.edu)

¹Institute of Gerontology, Wayne State University, Detroit MI, USA
²Department of Psychology, Wayne State University, Detroit MI, USA
³Max Planck Institute for Human Development, Berlin, Germany
⁴Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit MI, USA

Data Sharing License

Creative Commons – Attribution-NonCommercial Share Alike (CC-BY-NC-SA): Standard INDI data sharing policy. Prohibits use of the data for commercial purposes.

Acknowledgments

This work was supported by National Institute on Aging grants R01-AG011230, R37-AG011230, R03-AG024630 to Naftali Raz, Ph.D.

Publications

• Kennedy, K.M., Raz, N. (2009). Aging white matter and cognition: Differential effects of regional variations in diffusion properties on memory, executive functions, and speed. Neuropsychologia, 47, 916-927.
• Kennedy, K.M., Rodrigue, K.M., Land, S.J., Raz, N. (2009). BDNF val66met polymorphism influences age differences in microstructure of the corpus callosum. Frontiers in Human Neuroscience doi:10.3389/neuro.09.019.2009.
• Kennedy, K.M., Raz, N. (2009). Pattern of normal age-related regional differences in white matter microstructure is modified by vascular risk. Brain Research, 1297, 41-56.
• Raz, N., Ghisletta, P., Rodrigue, K.M., Kennedy, K.M., Lindenberger, U. (2010). Trajectories of brain aging in middle-aged and older adults: Regional and individual differences. NeuroImage, 51, 501-511.
• Rodrigue, K.M., Haacke, E.M., Raz, N. (2011). Differential effects of age and hypertension on regional brain volumes and iron. NeuroImage, 54, 750-759.
• Raz, N., Yang, Y.Q., Rodrigue, K.M., Kennedy, K.M., Lindenberger, U., Ghisletta, P. (2012). White matter deterioration in 15 months: Latent growth curve models in healthy adults. Neurobiology of Aging, 33, 429.
• Rodrigue, K.M., Daugherty, A.M., Haacke, E.M., Raz, N. (2013). The role of hippocampal iron concentration and hippocampal volume in age-related differences in memory performance. Cerebral Cortex, 23, 1533-1541.
• Bender, A.R., Völkle, M.C., Raz, N. (2016). Differential aging of the white matter in middle-aged and older adults: A seven-year follow-up. NeuroImage, 125, 74-83.
• Daugherty, A.M., Raz, N. (2016). Accumulation of iron in the putamen predicts its shrinkage in healthy older adults: A multi-occasion longitudinal study. NeuroImage, 128, 11-20.

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