Wayne State EF Dataset

Overview

The Wayne State executive function data set (collected on 1.5T Signa (GE) scanner), comprises 112 extensively-sampled healthy individuals. The overarching aim of the executive function study is to explore the mediating role of differences in brain structure, executive functions (EF), and processing speed in age-related differences in episodic memory. The primary goal of this study was to establish whether age-related differences in episodic memory could be explained by age-related deterioration of the relevant brain structures and declines in cognitive operations that are considered more basic than episodic memory, that is, speed of processing and various executive functions (EF). 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 Signa (GE) system.

The complete dataset includes:

• 112 total anatomical scans (112 subjects x 1 sessions/subject x 1 T1 MPRAGE scan/session)

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 EF 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):

• Moffat, S.D., Ph.D.⁵
• 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
⁵Cognitive Neuroscience of Aging, Georgia Institute of Technology, Atlanta GA, US

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

• Moffat, S.D., Kennedy, K.M., Rodrigue, K.M., Raz, N. (2007). Extrahippocampal contributions to age differences in human spatial navigation. Cerebral Cortex, 17, 1274-1282.

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