Scheinost D - Search Results

1

The effects of data leakage on connectome-based machine learning models.

Rosenblatt M, Tejavibulya L, Jiang R, Noble S, Scheinost D. Rosenblatt M, et al. Among authors: scheinost d. bioRxiv [Preprint]. 2023 Dec 28:2023.06.09.544383. doi: 10.1101/2023.06.09.544383. bioRxiv. 2023. Update in: Nat Commun. 2024 Feb 28;15(1):1829. doi: 10.1038/s41467-024-46150-w PMID: 38234740 Free PMC article. Updated. Preprint.

2

Stacking multiple optimal transport policies to map functional connectomes.

Dadashkarimi J, Rosenblatt M, Karbasi A, Scheinost D. Dadashkarimi J, et al. Among authors: scheinost d. bioRxiv [Preprint]. 2023 Feb 7:2023.02.06.527388. doi: 10.1101/2023.02.06.527388. bioRxiv. 2023. PMID: 36798263 Free PMC article. Preprint.

3

Brain-phenotype predictions can survive across diverse real-world data.

Adkinson BD, Rosenblatt M, Dadashkarimi J, Tejavibulya L, Jiang R, Noble S, Scheinost D. Adkinson BD, et al. Among authors: scheinost d. bioRxiv [Preprint]. 2024 Jan 24:2024.01.23.576916. doi: 10.1101/2024.01.23.576916. bioRxiv. 2024. Update in: Dev Cogn Neurosci. 2024 Dec;70:101464. doi: 10.1016/j.dcn.2024.101464 PMID: 38328100 Free PMC article. Updated. Preprint.

4

Connectome caricatures: removing large-amplitude co-activation patterns in resting-state fMRI emphasizes individual differences.

Rodriguez RX, Noble S, Camp CC, Scheinost D. Rodriguez RX, et al. Among authors: scheinost d. bioRxiv [Preprint]. 2024 Apr 11:2024.04.08.588578. doi: 10.1101/2024.04.08.588578. bioRxiv. 2024. PMID: 38645002 Free PMC article. Preprint.

5

Variation in moment-to-moment brain state engagement changes across development and contributes to individual differences in executive function.

Ye J, Tejavibulya L, Dai W, Cope LM, Hardee JE, Heitzeg MM, Lichenstein S, Yip SW, Banaschewski T, Baker GJ, Bokde ALW, Brühl R, Desrivières S, Flor H, Gowland P, Grigis A, Heinz A, Martinot JL, Paillère Martinot ML, Artiges E, Nees F, Orfanos DP, Poustka L, Hohmann S, Holz N, Baeuchl C, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Garavan H, Chaarani B, Gee DG, Baskin-Sommers A, Casey BJ; IMAGEN consortium; Scheinost D. Ye J, et al. Among authors: scheinost d. bioRxiv [Preprint]. 2024 Sep 11:2024.09.06.611627. doi: 10.1101/2024.09.06.611627. bioRxiv. 2024. PMID: 39314397 Free PMC article. Preprint.

6

Pain can't be carved at the joints: defining function-based pain profiles and their relevance to chronic disease management in healthcare delivery design.

Barron DS, Saltoun K, Kiesow H, Fu M, Cohen-Tanugi J, Geha P, Scheinost D, Isaac Z, Silbersweig D, Bzdok D. Barron DS, et al. Among authors: scheinost d. BMC Med. 2024 Dec 18;22(1):594. doi: 10.1186/s12916-024-03807-z. BMC Med. 2024. PMID: 39696368 Free PMC article.

7

Alterations in Volume and Intrinsic Resting-State Functional Connectivity Detected at Brain MRI in Individuals with Opioid Use Disorder.

Mehta S, Peterson H, Ye J, Ibrahim A, Saeed G, Linsky S, Kreinin I, Tsang S, Nwanaji-Enwerem U, Raso A, Arora J, Tokoglu F, Yip SW, Hahn CA, Lacadie C, Greene AS, Jeon S, Constable RT, Barry DT, Redeker NS, Yaggi H, Scheinost D. Mehta S, et al. Among authors: scheinost d. Radiology. 2024 Dec;313(3):e240514. doi: 10.1148/radiol.240514. Radiology. 2024. PMID: 39656127

8

Brain age prediction and deviations from normative trajectories in the neonatal connectome.

Sun H, Mehta S, Khaitova M, Cheng B, Hao X, Spann M, Scheinost D. Sun H, et al. Among authors: scheinost d. Nat Commun. 2024 Nov 26;15(1):10251. doi: 10.1038/s41467-024-54657-5. Nat Commun. 2024. PMID: 39592647 Free PMC article.

9

Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations.

Adkinson BD, Rosenblatt M, Dadashkarimi J, Tejavibulya L, Jiang R, Noble S, Scheinost D. Adkinson BD, et al. Among authors: scheinost d. Dev Cogn Neurosci. 2024 Dec;70:101464. doi: 10.1016/j.dcn.2024.101464. Epub 2024 Oct 16. Dev Cogn Neurosci. 2024. PMID: 39447452 Free PMC article.

10

Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods.

Antons S, Yip SW, Lacadie CM, Dadashkarimi J, Scheinost D, Brand M, Potenza MN. Antons S, et al. Among authors: scheinost d. J Behav Addict. 2024 Oct 1;13(3):695-701. doi: 10.1556/2006.2024.00050. Print 2024 Oct 4. J Behav Addict. 2024. PMID: 39356557 Free PMC article. Review.

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