HCP_data (doi:10.7910/DVN/SKXD1L)

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HCP_data

doi:10.7910/DVN/SKXD1L

Harvard Dataverse

2021-12-02

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Li, Jingwei, 2021, "HCP_data", https://doi.org/10.7910/DVN/SKXD1L, Harvard Dataverse, V1

HCP_data

doi:10.7910/DVN/SKXD1L

Li, Jingwei (Forschungszentrum Jülich)

Harvard Dataverse

Li, Jingwei

Li, Jingwei

2021-12-01

https://doi.org/10.7910/DVN/SKXD1L

Computer and Information Science, Medicine, Health and Life Sciences, Computer and Information Science, Medicine, Health and Life Sciences

Secondary data derived from the Human Connectome Project. Including the subject list used for the current study, the preprocessed resting-state functional connectivity, and the behavioral prediction accuracy of African Americans and white Americans in this dataset across multiple data splits. Data has been de-identified. People who want to use this data for replicating our study should follow the data usage agreement of the Human Connectome Project. For data protection purposes, behavioral scores and phenotypical information are not released in this repository. One should apply for data access permission from the Human Connectome Project to obtain such data.

CC0 Waiver

Jingwei Li, Danilo Bzdok, Jianzhong Chen, Angela Tam, Leon Qi Rong Ooi, Avram J. Holmes, Tian Ge, Kaustubh R. Patil, Mbemba Jabbi, Simon B. Eickhoff, B.T. Thomas Yeo*, Sarah Genon*, Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity, under review.

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behavior_names_51_matched.txt

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List of 51 behavioral measures for which African Americans and white Americans could be matched for >=40 random splits. Matching variables include age, gender, framewise displacement, DVARS, and behavioral scores.

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behavior_names_58.txt

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List of all 58 behavioral measures.

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corr_AAvsWA_no_reg.mat

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Out-of-sample prediction accuracy assessed by Pearson's correlation, for African Americans and white Americans separately. No confound was removed before building kernel ridge regression models.

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corr_AAvsWA_reg_AgeSexMtEducIcvInc_from_y_FC.mat

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Out-of-sample prediction accuracy assessed by Pearson's correlation, for African Americans and white Americans separately. Confounds (age, gender, framewise displacement, DVARS, education, intracranial volume, and household income) were regressed out from both behavioral scores and functional connectivity before building linear ridge regression models.

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corr_AAvsWA_reg_AgeSexMtEducIcvInc_from_y_FC.mat

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Out-of-sample prediction accuracy assessed by Pearson's correlation, for African Americans and white Americans separately. Confounds (age, gender, framewise displacement, DVARS, education, intracranial volume, and household income) were regressed out from both behavioral scores and functional connectivity before building kernel ridge regression models.

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hard_to_match_AA.txt

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Twenty-eight African Americans who were unable to be matched with white Americans. Matching variables include age, gender, framewise displacement, and behavioral scores.

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pCOD_AAvsWA_no_reg.mat

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Out-of-sample prediction accuracy assessed by predictive coefficient of determination, for African Americans and white Americans separately. No confound was removed before building kernel ridge regression models.

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pCOD_AAvsWA_reg_AgeSexMtEducIcvInc_from_y_FC.mat

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Out-of-sample prediction accuracy assessed by predictive coefficient of determination, for African Americans and white Americans separately. Confounds (age, gender, framewise displacement, DVARS, education, intracranial volume, and household income) were regressed out from both behavioral scores and functional connectivity before building linear ridge regression models.

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pCOD_AAvsWA_reg_AgeSexMtEducIcvInc_from_y_FC.mat

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Out-of-sample prediction accuracy assessed by predictive coefficient of determination, for African Americans and white Americans separately. Confounds (age, gender, framewise displacement, DVARS, education, intracranial volume, and household income) were regressed out from both behavioral scores and functional connectivity before building kernel ridge regression models.

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RSFC_948_r.mat

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Resting-state functional connectivity matrix for each of the total 948 subjects.

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subjects_wIncome_948.txt

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List of the 948 subjects used in this study.

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