| Year |
Citation |
Score |
| 2024 |
Rosenblatt M, Tejavibulya L, Jiang R, Noble S, Scheinost D. Data leakage inflates prediction performance in connectome-based machine learning models. Nature Communications. 15: 1829. PMID 38418819 DOI: 10.1038/s41467-024-46150-w |
0.31 |
|
| 2024 |
Adkinson BD, Rosenblatt M, Dadashkarimi J, Tejavibulya L, Jiang R, Noble S, Scheinost D. Brain-phenotype predictions can survive across diverse real-world data. Biorxiv : the Preprint Server For Biology. PMID 38328100 DOI: 10.1101/2024.01.23.576916 |
0.394 |
|
| 2023 |
Rosenblatt M, Tejavibulya L, Jiang R, Noble S, Scheinost D. The effects of data leakage on connectome-based machine learning models. Biorxiv : the Preprint Server For Biology. PMID 38234740 DOI: 10.1101/2023.06.09.544383 |
0.588 |
|
| 2023 |
Rosenblatt M, Tejavibulya L, Camp CC, Jiang R, Westwater ML, Noble S, Scheinost D. Power and reproducibility in the external validation of brain-phenotype predictions. Biorxiv : the Preprint Server For Biology. PMID 37961654 DOI: 10.1101/2023.10.25.563971 |
0.56 |
|
| 2023 |
Camp CC, Noble S, Scheinost D, Stringaris A, Nielson DM. Test-retest reliability of functional connectivity in depressed adolescents. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging. PMID 37734478 DOI: 10.1016/j.bpsc.2023.09.002 |
0.559 |
|
| 2023 |
Sun H, Jiang R, Dai W, Dufford AJ, Noble S, Spann MN, Gu S, Scheinost D. Network controllability of structural connectomes in the neonatal brain. Nature Communications. 14: 5820. PMID 37726267 DOI: 10.1038/s41467-023-41499-w |
0.553 |
|
| 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 |
0.776 |
|
| 2023 |
Dadashkarimi J, Karbasi A, Liang Q, Rosenblatt M, Noble S, Foster M, Rodriguez R, Adkinson B, Ye J, Sun H, Camp C, Farruggia M, Tejavibulya L, Dai W, Jiang R, et al. Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. Medical Image Analysis. 88: 102864. PMID 37352650 DOI: 10.1016/j.media.2023.102864 |
0.549 |
|
| 2023 |
Shinn M, Hu A, Turner L, Noble S, Preller KH, Ji JL, Moujaes F, Achard S, Scheinost D, Constable RT, Krystal JH, Vollenweider FX, Lee D, Anticevic A, Bullmore ET, et al. Functional brain networks reflect spatial and temporal autocorrelation. Nature Neuroscience. PMID 37095399 DOI: 10.1038/s41593-023-01299-3 |
0.644 |
|
| 2023 |
Jiang R, Noble S, Sui J, Yoo K, Rosenblatt M, Horien C, Qi S, Liang Q, Sun H, Calhoun VD, Scheinost D. Associations of physical frailty with health outcomes and brain structure in 483 033 middle-aged and older adults: a population-based study from the UK Biobank. The Lancet. Digital Health. PMID 37061351 DOI: 10.1016/S2589-7500(23)00043-2 |
0.501 |
|
| 2023 |
Ye J, Sun H, Gao S, Dadashkarimi J, Rosenblatt M, Rodriguez RX, Mehta S, Jiang R, Noble S, Westwater ML, Scheinost D. Altered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task-switching Revealed by Overlapping Brain States. Biological Psychiatry. PMID 37031780 DOI: 10.1016/j.biopsych.2023.03.024 |
0.575 |
|
| 2022 |
Scheinost D, Pollatou A, Dufford AJ, Jiang R, Farruggia MC, Rosenblatt M, Peterson H, Rodriguez RX, Dadashkarimi J, Liang Q, Dai W, Foster ML, Camp CC, Tejavibulya L, Adkinson BD, ... ... Noble S, et al. Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer. Biological Psychiatry. PMID 36759257 DOI: 10.1016/j.biopsych.2022.10.014 |
0.558 |
|
| 2022 |
Rodriguez RX, Noble S, Tejavibulya L, Scheinost D. Leveraging edge-centric networks complements existing network-level inference for functional connectomes. Neuroimage. 264: 119742. PMID 36368501 DOI: 10.1016/j.neuroimage.2022.119742 |
0.509 |
|
| 2022 |
Jiang R, Westwater ML, Noble S, Rosenblatt M, Dai W, Qi S, Sui J, Calhoun VD, Scheinost D. Associations between grip strength, brain structure, and mental health in > 40,000 participants from the UK Biobank. Bmc Medicine. 20: 286. PMID 36076200 DOI: 10.1186/s12916-022-02490-2 |
0.506 |
|
| 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 |
0.798 |
|
| 2022 |
Noble S, Mejia AF, Zalesky A, Scheinost D. Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference. Proceedings of the National Academy of Sciences of the United States of America. 119: e2203020119. PMID 35925887 DOI: 10.1073/pnas.2203020119 |
0.556 |
|
| 2022 |
Jiang R, Calhoun VD, Noble S, Sui J, Liang Q, Qi S, Scheinost D. A functional connectome signature of blood pressure in >30,000 participants from the UK Biobank. Cardiovascular Research. PMID 35875865 DOI: 10.1093/cvr/cvac116 |
0.516 |
|
| 2022 |
Tejavibulya L, Rolison M, Gao S, Liang Q, Peterson H, Dadashkarimi J, Farruggia MC, Hahn CA, Noble S, Lichenstein SD, Pollatou A, Dufford AJ, Scheinost D. Predicting the future of neuroimaging predictive models in mental health. Molecular Psychiatry. PMID 35697759 DOI: 10.1038/s41380-022-01635-2 |
0.57 |
|
| 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 |
0.799 |
|
| 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 |
0.767 |
|
| 2022 |
Horien C, Lee K, Westwater ML, Noble S, Tejavibulya L, Kayani T, Constable RT, Scheinost D. A protocol for working with open-source neuroimaging datasets. Star Protocols. 3: 101077. PMID 35036958 DOI: 10.1016/j.xpro.2021.101077 |
0.623 |
|
| 2022 |
Horien C, Lee K, Westwater ML, Noble S, Tejavibulya L, Kayani T, Constable RT, Scheinost D. A protocol for working with open-source neuroimaging datasets Star Protocols. 3: 101077. DOI: 10.1016/j.xpro.2021.101077 |
0.49 |
|
| 2021 |
Ibrahim K, Noble S, He G, Lacadie C, Crowley MJ, McCarthy G, Scheinost D, Sukhodolsky DG. Large-scale functional brain networks of maladaptive childhood aggression identified by connectome-based predictive modeling. Molecular Psychiatry. PMID 34690348 DOI: 10.1038/s41380-021-01317-5 |
0.584 |
|
| 2021 |
Dufford AJ, Noble S, Gao S, Scheinost D. The instability of functional connectomes across the first year of life. Developmental Cognitive Neuroscience. 51: 101007. PMID 34419767 DOI: 10.1016/j.dcn.2021.101007 |
0.527 |
|
| 2021 |
Noble S, Scheinost D, Constable RT. A guide to the measurement and interpretation of fMRI test-retest reliability. Current Opinion in Behavioral Sciences. 40: 27-32. PMID 33585666 DOI: 10.1016/j.cobeha.2020.12.012 |
0.631 |
|
| 2020 |
Noble S, Scheinost D. The Constrained Network-Based Statistic: A New Level of Inference for Neuroimaging. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12267: 458-468. PMID 33870336 DOI: 10.1007/978-3-030-59728-3_45 |
0.574 |
|
| 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 |
0.778 |
|
| 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 |
0.714 |
|
| 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 |
0.776 |
|
| 2019 |
Noble S, Scheinost D, Constable RT. Cluster failure or power failure? Evaluating sensitivity in cluster-level inference. Neuroimage. 116468. PMID 31852625 DOI: 10.1016/J.Neuroimage.2019.116468 |
0.618 |
|
| 2019 |
Noble S, Scheinost D, Constable RT. A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis. Neuroimage. 116157. PMID 31494250 DOI: 10.1016/J.Neuroimage.2019.116157 |
0.631 |
|
| 2019 |
Yoo K, Rosenberg MD, Noble S, Scheinost D, Constable R, Chun MM. Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors. Neuroimage. PMID 31039408 DOI: 10.1016/J.Neuroimage.2019.04.060 |
0.686 |
|
| 2019 |
Lake EMR, Finn ES, Noble SM, Vanderwal T, Shen X, Rosenberg MD, Spann MN, Chun MM, Scheinost D, Constable RT. The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder. Biological Psychiatry. PMID 31010580 DOI: 10.1016/J.Biopsych.2019.02.019 |
0.731 |
|
| 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 |
0.757 |
|
| 2017 |
Horien C, Noble S, Finn ES, Shen X, Scheinost D, Constable RT. Considering factors affecting the connectome-based identification process: Comment on Waller et al. Neuroimage. PMID 29253655 DOI: 10.1016/J.Neuroimage.2017.12.045 |
0.743 |
|
| 2017 |
Noble S, Spann MN, Tokoglu F, Shen X, Constable RT, Scheinost D. Influences on the Test-Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility. Cerebral Cortex (New York, N.Y. : 1991). 1-15. PMID 28968754 DOI: 10.1093/Cercor/Bhx230 |
0.701 |
|
| 2016 |
Noble S, Scheinost D, Finn ES, Shen X, Papademetris X, McEwen SC, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Olvet DM, Mathalon DH, McGlashan TH, et al. Multisite Reliability of MR-Based Functional Connectivity. Neuroimage. PMID 27746386 DOI: 10.1016/J.Neuroimage.2016.10.020 |
0.751 |
|
| 2016 |
Scheinost D, Tokoglu F, Shen X, Finn ES, Noble S, Papademetris X, Constable RT. Fluctuations in global brain activity are associated with changes in whole-brain connectivity of functional networks. Ieee Transactions On Bio-Medical Engineering. PMID 27541328 DOI: 10.1109/Tbme.2016.2600248 |
0.769 |
|
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