| The normative modeling framework for computational psychiatry S Rutherford, SM Kia, T Wolfers, C Fraza, M Zabihi, R Dinga, P Berthet, ... Nature protocols 17 (7), 1711-1734, 2022 | 165 | 2022 |
| Prediction of neurocognition in youth from resting state fMRI C Sripada, S Rutherford, M Angstadt, WK Thompson, M Luciana, ... Molecular psychiatry 25 (12), 3413-3421, 2020 | 139 | 2020 |
| Charting brain growth and aging at high spatial precision S Rutherford, C Fraza, R Dinga, SM Kia, T Wolfers, M Zabihi, P Berthet, ... elife 11, e72904, 2022 | 130 | 2022 |
| Toward a “treadmill test” for cognition: Improved prediction of general cognitive ability from the task activated brain C Sripada, M Angstadt, S Rutherford, A Taxali, K Shedden Human brain mapping 41 (12), 3186-3197, 2020 | 108* | 2020 |
| Evidence for embracing normative modeling S Rutherford, P Barkema, IF Tso, C Sripada, CF Beckmann, HG Ruhe, ... Elife 12, e85082, 2023 | 83 | 2023 |
| Basic units of inter-individual variation in resting state connectomes C Sripada, M Angstadt, S Rutherford, D Kessler, Y Kim, M Yee, E Levina Scientific reports 9 (1), 1900, 2019 | 80 | 2019 |
| The general factor of psychopathology in the adolescent brain cognitive development (ABCD) study: A comparison of alternative modeling approaches DA Clark, BM Hicks, M Angstadt, S Rutherford, A Taxali, L Hyde, ... Clinical Psychological Science 9 (2), 169-182, 2021 | 78 | 2021 |
| The “social brain” is highly sensitive to the mere presence of social information: An automated meta-analysis and an independent study IF Tso, S Rutherford, Y Fang, M Angstadt, SF Taylor PloS one 13 (5), e0196503, 2018 | 69 | 2018 |
| Boost in test–retest reliability in resting state fMRI with predictive modeling A Taxali, M Angstadt, S Rutherford, C Sripada Cerebral cortex 31 (6), 2822-2833, 2021 | 63* | 2021 |
| Differentiated nomological networks of internalizing, externalizing, and the general factor of psychopathology (‘p factor’) in emerging adolescence in the ABCD study SJ Brislin, ME Martz, S Joshi, ER Duval, A Gard, DA Clark, LW Hyde, ... Psychological Medicine 52 (14), 3051-3061, 2022 | 62 | 2022 |
| Brain-wide functional connectivity patterns support general cognitive ability and mediate effects of socioeconomic status in youth C Sripada, M Angstadt, A Taxali, DA Clark, T Greathouse, S Rutherford, ... Translational psychiatry 11 (1), 571, 2021 | 53* | 2021 |
| Automated brain masking of fetal functional MRI with open data S Rutherford, P Sturmfels, M Angstadt, J Hect, J Wiens, ... Neuroinformatics 20 (1), 173-185, 2022 | 48* | 2022 |
| Brainhack: Developing a culture of open, inclusive, community-driven neuroscience R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ... Neuron 109 (11), 1769-1775, 2021 | 43 | 2021 |
| Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression SM Kia, H Huijsdens, S Rutherford, A de Boer, R Dinga, T Wolfers, ... Plos one 17 (12), e0278776, 2022 | 40 | 2022 |
| Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective E Levitis, CDG Van Praag, R Gau, S Heunis, E DuPre, G Kiar, ... GigaScience 10 (8), giab051, 2021 | 33 | 2021 |
| A domain guided CNN architecture for predicting age from structural brain images P Sturmfels, S Rutherford, M Angstadt, M Peterson, C Sripada, J Wiens Machine learning for healthcare conference, 295-311, 2018 | 32 | 2018 |
| Dynamic causal modeling of eye gaze processing in schizophrenia IF Tso, M Angstadt, S Rutherford, S Peltier, VA Diwadkar, SF Taylor Schizophrenia research 229, 112-121, 2021 | 28 | 2021 |
| Federated multi-site normative modeling using hierarchical Bayesian regression SM Kia, H Huijsdens, S Rutherford, R Dinga, T Wolfers, M Mennes, ... BioRxiv, 2021.05. 28.446120, 2021 | 27 | 2021 |
| Contrasting case-control and normative reference approaches to capture clinically relevant structural brain abnormalities in patients with first-episode psychosis who are … N Remiszewski, JE Bryant, SE Rutherford, AF Marquand, E Nelson, ... JAMA psychiatry 79 (11), 1133-1138, 2022 | 21 | 2022 |
| Non-Gaussian normative modelling with hierarchical Bayesian regression AAA de Boer, JMM Bayer, SM Kia, S Rutherford, M Zabihi, C Fraza, ... Imaging Neuroscience 2, 1-36, 2024 | 20 | 2024 |
Mike AngstadtResearch Area Specialist Lead, University of MichiganZweryfikowany adres z umich.edu
