Year |
Citation |
Score |
2023 |
Rosenblatt M, Rodriguez RX, Westwater ML, Dai W, Horien C, Greene AS, Constable RT, Noble S, Scheinost D. Connectome-based machine learning models are vulnerable to subtle data manipulations. Patterns (New York, N.Y.). 4: 100756. PMID 37521052 DOI: 10.1016/j.patter.2023.100756 |
0.766 |
|
2023 |
Greene AS, Constable RT. Clinical Promise of Brain-Phenotype Modeling: A Review. Jama Psychiatry. PMID 37314790 DOI: 10.1001/jamapsychiatry.2023.1419 |
0.579 |
|
2023 |
Greene AS, Horien C, Barson D, Scheinost D, Constable RT. Why is everyone talking about brain state? Trends in Neurosciences. PMID 37164869 DOI: 10.1016/j.tins.2023.04.001 |
0.68 |
|
2022 |
Horien C, Greene AS, Shen X, Fortes D, Brennan-Wydra E, Banarjee C, Foster R, Donthireddy V, Butler M, Powell K, Vernetti A, Mandino F, O'Connor D, Lake EMR, McPartland JC, et al. A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youth. Cerebral Cortex (New York, N.Y. : 1991). PMID 36573438 DOI: 10.1093/cercor/bhac506 |
0.676 |
|
2022 |
Greene AS, Shen X, Noble S, Horien C, Hahn CA, Arora J, Tokoglu F, Spann MN, Carrión CI, Barron DS, Sanacora G, Srihari VH, Woods SW, Scheinost D, Constable RT. Brain-phenotype models fail for individuals who defy sample stereotypes. Nature. 609: 109-118. PMID 36002572 DOI: 10.1038/s41586-022-05118-w |
0.797 |
|
2022 |
Horien C, Floris DL, Greene AS, Noble S, Rolison M, Tejavibulya L, O'Connor D, McPartland JC, Scheinost D, Chawarska K, Lake EMR, Constable RT. Functional Connectome-Based Predictive Modeling in Autism. Biological Psychiatry. PMID 35690495 DOI: 10.1016/j.biopsych.2022.04.008 |
0.802 |
|
2022 |
Tejavibulya L, Peterson H, Greene A, Gao S, Rolison M, Noble S, Scheinost D. Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity. Neuroimage. 252: 119040. PMID 35272202 DOI: 10.1016/j.neuroimage.2022.119040 |
0.758 |
|
2022 |
Ip KI, Sisk LM, Horien C, Conley MI, Rapuano KM, Rosenberg MD, Greene AS, Scheinost D, Constable RT, Casey BJ, Baskin-Sommers A, Gee DG. Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth. Journal of Cognitive Neuroscience. 1-32. PMID 35104356 DOI: 10.1162/jocn_a_01826 |
0.616 |
|
2021 |
Sisk LM, Rapuano KM, Conley MI, Greene AS, Horien C, Rosenberg MD, Scheinost D, Constable RT, Glatt CE, Casey BJ, Gee DG. Genetic variation in endocannabinoid signaling is associated with differential network-level functional connectivity in youth. Journal of Neuroscience Research. PMID 34496065 DOI: 10.1002/jnr.24946 |
0.653 |
|
2021 |
Luo W, Greene AS, Constable RT. Within node connectivity changes, not simply edge changes, influence graph theory measures in functional connectivity studies of the brain. Neuroimage. 118332. PMID 34224851 DOI: 10.1016/j.neuroimage.2021.118332 |
0.488 |
|
2021 |
Stark GF, Avery EW, Rosenberg MD, Greene AS, Gao S, Scheinost D, Todd Constable R, Chun MM, Yoo K. Using functional connectivity models to characterize relationships between working and episodic memory. Brain and Behavior. e02105. PMID 34142458 DOI: 10.1002/brb3.2105 |
0.536 |
|
2021 |
Sisk L, Conley M, Greene A, Horien C, Rapuano K, Rosenberg M, Scheinost D, Constable RT, Casey B, Gee D. Associations Between Trauma Exposure, Internalizing Symptoms, and Functional Connectivity in Youth Biological Psychiatry. 89: S323-S324. DOI: 10.1016/j.biopsych.2021.02.806 |
0.487 |
|
2020 |
Barron DS, Gao S, Dadashkarimi J, Greene AS, Spann MN, Noble S, Lake EMR, Krystal JH, Constable RT, Scheinost D. Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders. Cerebral Cortex (New York, N.Y. : 1991). PMID 33345271 DOI: 10.1093/cercor/bhaa371 |
0.779 |
|
2020 |
Horien C, Fontenelle S, Joseph K, Powell N, Nutor C, Fortes D, Butler M, Powell K, Macris D, Lee K, Greene AS, McPartland JC, Volkmar FR, Scheinost D, Chawarska K, et al. Low-motion fMRI data can be obtained in pediatric participants undergoing a 60-minute scan protocol. Scientific Reports. 10: 21855. PMID 33318557 DOI: 10.1038/s41598-020-78885-z |
0.61 |
|
2020 |
Rapuano KM, Rosenberg MD, Maza MT, Dennis NJ, Dorji M, Greene AS, Horien C, Scheinost D, Todd Constable R, Casey BJ. Corrigendum to "Behavioral and brain signatures of substance use vulnerability in childhood" [Developmental Cognitive Neuroscience 46 (December) (2020) 100878]. Developmental Cognitive Neuroscience. 100891. PMID 33309003 DOI: 10.1016/j.dcn.2020.100891 |
0.555 |
|
2020 |
Horien C, Noble S, Greene AS, Lee K, Barron DS, Gao S, O'Connor D, Salehi M, Dadashkarimi J, Shen X, Lake EMR, Constable RT, Scheinost D. A hitchhiker's guide to working with large, open-source neuroimaging datasets. Nature Human Behaviour. PMID 33288916 DOI: 10.1038/s41562-020-01005-4 |
0.703 |
|
2020 |
Rapuano KM, Rosenberg MD, Maza MT, Dennis NJ, Dorji M, Greene AS, Horien C, Scheinost D, Todd Constable R, Casey BJ. Behavioral and brain signatures of substance use vulnerability in childhood. Developmental Cognitive Neuroscience. 46: 100878. PMID 33181393 DOI: 10.1016/j.dcn.2020.100878 |
0.599 |
|
2020 |
Greene AS, Gao S, Noble S, Scheinost D, Constable RT. How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships. Cell Reports. 32: 108066. PMID 32846124 DOI: 10.1016/J.Celrep.2020.108066 |
0.781 |
|
2020 |
Rosenberg MD, Scheinost D, Greene AS, Avery EW, Kwon YH, Finn ES, Ramani R, Qiu M, Constable RT, Chun MM. Functional connectivity predicts changes in attention observed across minutes, days, and months. Proceedings of the National Academy of Sciences of the United States of America. PMID 32019892 DOI: 10.1073/Pnas.1912226117 |
0.76 |
|
2020 |
Yeagle E, Dadashkarimi J, Duan V, Greene A, Barron D, Gao S, Scheinost D. Predicting BMI From Whole-Brain Functional Connectivity Biological Psychiatry. 87: S323. DOI: 10.1016/j.biopsych.2020.02.829 |
0.648 |
|
2019 |
Salehi M, Greene AS, Karbasi A, Shen X, Scheinost D, Constable RT. There is no single functional atlas even for a single individual: Functional parcel definitions change with task. Neuroimage. 116366. PMID 31740342 DOI: 10.1016/J.Neuroimage.2019.116366 |
0.783 |
|
2019 |
Avery EW, Yoo K, Rosenberg MD, Greene AS, Gao S, Na DL, Scheinost D, Constable TR, Chun MM. Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. Journal of Cognitive Neuroscience. 1-15. PMID 31659926 DOI: 10.1162/Jocn_A_01487 |
0.603 |
|
2019 |
Gao S, Greene AS, Constable RT, Scheinost D. Combining multiple connectomes improves predictive modeling of phenotypic measures. Neuroimage. 116038. PMID 31336188 DOI: 10.1016/J.Neuroimage.2019.116038 |
0.685 |
|
2019 |
Horien C, Greene AS, Constable RT, Scheinost D. Regions and Connections: Complementary Approaches to Characterize Brain Organization and Function. The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry. 1073858419860115. PMID 31304866 DOI: 10.1177/1073858419860115 |
0.712 |
|
2019 |
Scheinost D, Noble S, Horien C, Greene AS, Lake EM, Salehi M, Gao S, Shen X, O'Connor D, Barron DS, Yip SW, Rosenberg MD, Constable RT. Ten simple rules for predictive modeling of individual differences in neuroimaging. Neuroimage. PMID 30831310 DOI: 10.1016/J.Neuroimage.2019.02.057 |
0.761 |
|
2019 |
Barron D, Gao S, Greene A, Constable RT, Krystal J, Scheinost D. S179. Transdiagnostic Prediction of Memory and Executive Function From Whole-Brain Functional Connectivity Biological Psychiatry. 85: S366-S367. DOI: 10.1016/J.Biopsych.2019.03.930 |
0.702 |
|
2018 |
Greene AS, Gao S, Scheinost D, Constable RT. Task-induced brain state manipulation improves prediction of individual traits. Nature Communications. 9: 2807. PMID 30022026 DOI: 10.1038/S41467-018-04920-3 |
0.733 |
|
2018 |
Scheinost D, Gao S, Greene A, Constable RT. 79. Transdiagnostic Prediction of Memory and Cognitive Abilities From Functional Connectivity Data: A Multidimensional Connectome-Based Predictive Modeling Study Biological Psychiatry. 83: S33. DOI: 10.1016/J.Biopsych.2018.02.096 |
0.673 |
|
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