NYU_Cocaine

Summary: These data were collected as part of a NIDA-funded grant (R03DA024775) to study functional and structural connectivity in cocaine addiction. This release contains data from 29 cocaine-dependent individuals and 24 healthy comparison participants. All cocaine-dependent participants met DSM-IV criteria for cocaine dependence within the 12 months preceding their participation, but were currently abstaining (>2 weeks) from cocaine use. Abstinence was verified by urine drug screen at the time of scan. The 23 youngest male and 2 female cocaine-dependent participants are group-matched with the 24 healthy comparisons on age, sex, education level, and employment status.

The following data are released for every participant:

At least one 6-minute resting state fMRI scan (R-fMRI), in MNI152 3mm standard space *
Participant-specific white matter and CSF masks
Behavioral assessments and phenotypic information **

* Most participants have 2 R-fMRI scans, collected less than 1 hour apart in the same scanning session. Rest_1 is always collected first.
** Behavioral and phenotypic data are currently only available for the cocaine-dependent participants. Corresponding data for the control participants will be made available at a later date.

To protect the privacy of these participants (given potential legal implications of having admitted to illegal substance usage), the R-fMRI scans have been transformed into MNI152 3mm standard space. Two versions of each R-fMRI scan are released for each participant: one transformed using a non-linear registration algorithm (FNIRT), the other using a 12-DOF linear transformation (FLIRT). Raw anatomic and functional data may be made available to interested parties (for unrestricted non-commercial use) via a formal institutional data-sharing agreement (contact clareDOTkellyATnyumcDOTorg). The following preprocessing steps were performed on each R-fMRI scan:

Removal of the first 4 timepoints
Slice-timing correction (for ascending interleaved acquisition)
Reorientation to RPI
Registration to T2-style image and b0 unwarping
Linear and non-linear transformation to MNI152 3mm space

To allow for removal of nuisance signals we have also provided white matter and CSF masks (in standard space) for each participant.

WARNING
Some of the control participants included in this release were also previously released as part of the NewYork_a dataset in the 1000 Functional Connectomes classic collection. Consequently, this dataset should should NOT be combined with the NewYork_a dataset. Combination will be possible at a future date, when the NewYork_a dataset is incorporated into INDI.

USAGE AGREEMENT
Creative Commons License: Attribution - Non-Commercial

Reference
Initial analyses of the data included in this release are described in this manuscript:
Reduced Interhemispheric Resting State Functional Connectivity in Cocaine Addiction. Clare Kelly, Xi-Nian Zuo, Kristin Gotimer, Christine Cox, Lauren Lynch, Dylan Brock, Davide Imperati, Hugh Garavan, John Rotrosen, F. Xavier Castellanos, Michael Milham. In press, Biological Psychiatry.

Funding
Please include the following grant acknowledgement in any publications arising from these data:
Financial support for the data used in this project was provided by a grant from the National Institute on Drug Abuse (R03DA024775) to Clare Kelly.

Data Release Table

NYU_Cocaine.XnatNIFTI Coming Soon	NYU_Cocaine.LiteNIFTI Includes both linear and nonlinear transformation to MNI space 29GB	NYU_Cocaine.FLIRT.LiteNIFTI Includes only linear transformation to MNI space 14GB	NYU_Cocaine.FNIRT.LiteNIFTI Includes only nonlinear transformation to MNI space 16GB
NYU_Cocaine_motion_parameters Includes motion parameters for every subject obtained after using AFNI 3dvolreg to motion correct the data to the 8th image. Note: the images provided in the releases are NOT motion corrected.

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.

Data Release Table - Addiction Connectome Preprocessed Initiative

Phenotypic Data

Phenotypic Data

Raw Data

Raw Data 0028160-0028173

Raw Data 0028174-0028186

Raw Data 0028187-0028188

Pipeline: ANTS Registered, No Scrubbing, No Global Signal Regression

ANTS S0 G0 0028155 0028160.tar.gz	ANTS S0 G0 0028161 0028165.tar.gz	ANTS S0 G0 0028166 0028170.tar.gz
ANTS S0 G0 0028171 0028175.tar.gz	ANTS S0 G0 0028176 0028180.tar.gz	ANTS S0 G0 0028181 0028185.tar.gz
ANTS S0 G0 0028186 0028188.tar.gz

Pipeline: ANTS Registered, No Scrubbing, With Global Signal Regression

ANTS S0 G1 0028155 0028160.tar.gz	ANTS S0 G1 0028161 0028165.tar.gz	ANTS S0 G1 0028166 0028170.tar.gz
ANTS S0 G1 0028171 0028175.tar.gz	ANTS S0 G1 0028176 0028180.tar.gz	ANTS S0 G1 0028181 0028185.tar.gz
ANTS S0 G1 0028186 0028188.tar.gz

Pipeline: ANTS Registered, With Scrubbing, No Global Signal Regression

ANTS S1 G0 0028156 0028163.tar.gz	ANTS S1 G0 0028164 0028169.tar.gz	ANTS S1 G0 0028170 0028178.tar.gz
ANTS S1 G0 0028179 0028184.tar.gz	ANTS S1 G0 0028185 0028188.tar.gz

Pipeline: ANTS Registered, With Scrubbing, With Global Signal Regression

ANTS S1 G1 0028156 0028163.tar.gz	ANTS S1 G1 0028164 0028169.tar.gz	ANTS S1 G1 0028170 0028178.tar.gz
ANTS S1 G1 0028179 0028184.tar.gz	ANTS S1 G1 0028185 0028188.tar.gz

Pipeline: FNIRT Registered, No Scrubbing, No Global Signal Regression