Data sets and resources

CMU-60 Template

Response Binding

Corticostriatal systems and congruency sequencing

The Zombie Brain

CMU-60 Template

The CMU-60 template is an averaged map of reconstructed fiber orientations from a 257-direction diffusion spectrum imaging (DSI) sequence from 60 neurologically healthy volunteers. The files are in DSI Studio format, which is free to download here. This dataset includes the original 30 subjects from the CMU-30 template (found here).

These data sets are free to use for research and education purposes. Please notify Dr. Verstynen should they be used in a conference abstract or publication.


Reconstructed .fib file w/out ODFs (here)

Reconstructed .fib file including ODFs (here)

Twenty nine male and thirty one female subjects were recruited from the local Pittsburgh community and the Army Research Laboratory in Aberdeen Maryland. All subjects were neurologically healthy, with no history of either head trauma or neurological or psychiatric illness. Subject ages ranged from 18 to 45 years of age at the time of scanning, with a mean age of 26 years (+/- 6 standard deviation). Six subjects were left handed (3 males, 3 females).

All participants were scanned on a Siemen’s Verio 3T system in the Scientific Imaging & Brain Research (SIBR) Center at Carnegie Mellon University using a 32-channel head coil. We collected a 50 min, 257-direction DSI scan using a twice-refocused spin-echo EPI sequence and multiple q values (TR = 9,916 ms, TE = 157 ms, voxel size = 2.4 x 2.4 x 2.4 mm, FoV = 231 x 231 mm, b-max = 5,000 s/mm2, 51 slices). Head-movement was minimized during the image acquisition through padding supports and all subjects were confirmed to have minimal head movement during the can prior to inclusion in the template.

All images were processed using a q-space diffeomorphic reconstruction method described previously (Yeh & Tseng, 2011). Briefly, this approach uses a non-linear coregistration approach (ICBM-152 space template regularization, 16 non-linear iterations) that registers the voxel-coordinate into MNI space while also maintaining distortion of the q-space vector during the normalization process. From here diffusion orientation distribution functions (dODFs) are reconstructed to spatial resolution of 2x2x2 mm. The final template image was created by averaging the ODF maps across all 60 subjects, and the resulting template can be used to obtain the representative tractography of the. The white matter surface is rendered independently from an externally supplied 1×1×1 mm resolution white matter image.

Yeh FC, Tseng WY. NTU-90: a high angular resolution brain atlas constructed by q-space diffeomorphic reconstruction. Neuroimage. 2011 Sep 1;58(1):91-9

Corticostriatal systems and congruency sequencing

Here we provide the behavioral (Stroop Task), functional (fMRI) and structural (DSI) summary data for each subject reported in the paper “The organization and dynamics of corticostriatal pathways link the medial orbitofrontal cortex to future behavioral responses.” All analysis procedures are described in the manuscript.

To download the full data set click here.

Included in the .zip file are the single trial response times, condition type, single-trial BOLD estimates from all 20 regions of interest (ROI) reported, and structural overlap scores for each subject as well as the ROI masks in MNI-space for the regions found to be significant for the incongruent-neutral contrast.

Response Binding

Here we provide demonstration code of the response binding analysis described in the following paper, “Dynamic sensorimotor planning during long-term sequence learning: the role of variability, response chunking and planning errors.” T. Verstynen, J. Phillips, E. Braun, B. Workman, C. Schunn, W. Schneider. PLoS One 7(10):e47336 (2012). (pdf)

Data from a typical subject on the 9th day of training and two analysis routines (autocorrelation analysis and LDS modeling) can be download here. See the README.txt for more information.

Some Mac users have reported trouble downloading files from our servers. If you have trouble accessing the file, please email Dr. Verstynen directly (timothyv [at]

Important: We regret an error in the published version of the manuscript (PLoS One does not do page proofs so this wasn’t caught until later). In the description of input values for Y in the update portion of the state-space equation, should read.

“In the state update, the Y vector is a vector indicating the speed at which key was pressed for each cue on the previous trial, regardless of its accuracy,….”

The Zombie Brain

Yes yes… we like zombies too. Here’s a model of the zombie brain in NifTi format. For information on how this was generated, check out the blog post here.

Download the Zombie Colin Brain (here)