NMBL

Sydney Covitz

Bioengineering PhD Student
covitzs@stanford.edu
Clark Center, S3.2
Google Scholar
LinkedIn

Research Interests

  • clinical pediatric neuromuscular biomechanics
  • video-based human movement analysis
  • personalized injury prevention protocol for elite cutting sport athletes
  • neuroinformatics software development
  • large-scale data management workflows

I am currently working with a team to develop a video-derived evaluation metric neuromuscular clinicians can use during clinic visits to establish upper extremity-based clinical trial endpoints for pediatric and adult muscular dystrophy patients. I am also interested in developing individualized, kinematic-based interventions for preventing ACL tears and other knee injuries in professional women’s soccer players.

Degrees

B.A. in Computer Science, Swarthmore College, 2020
B.A. in English Literature, Swarthmore College, 2020

Honors and Awards

Biodesign NEXT Award, 2024, News Article, LinkedIn Post
Invited Talk: “Curation and Metadata Quality Control with CuBIDS and Datalad,” Dartmouth Center for Open Neuroscience, October, 2022
Invited Talk: “Curation of BIDS (CuBIDS), a Python Package for handling large BIDS datasets” BrainHack Global, Washington, DC, November, 2021

Representative Publications

  1. Covitz, S., Tapera, T.M., Adebimpe, A., Alexander-Bloch, A.F., Bertolero, M.A., Franco, A.R., Gur, R.E., Gur, R.C., Hendrickson, T., Houghton, A., Mehta, K., Murtha, K., Perrone, A.J., Robert-Fitzgerald, T., Schabdach, J.M., Shinohara, R.T., Vogel, J.W., Zhao, C., Fair, A.D., Milham, M.P., Cieslak, M., Satterthwaite, T.D., Curation of BIDS (CuBIDS): A workflow and software package for streamlining reproducible curation of large BIDS datasets. NeuroImage 263, 11960 (2022). https://doi.org/10.1016/j.neuroimage.2022.119609
  2. Zhao, C., Jarecka, D., Covitz, S., Chen, Y., Eickhoff, S.B., Fair, D.A., Franco, A.R., Halchenko, Y.O., Hendrickson, T.J., Hoffstaedter, F., Houghton, A., Kiar, G., Macdonald, A., Mehta, K., Milham, M.P., Salo, T., Hanke, M., Ghosh, S.S., Cieslak, M., Satterthwaite T.D., A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps. Imaging Neuroscience 2024; 2 1–19.  doi: https://doi.org/10.1162/imag_a_00074
  3. Richie-Halford, A., Cieslak, M., Ai, L., Caffara, S., Covitz, S., Franco, A.R., Karipidis, I.I., Kruper, J., Milham, M., Avelar-Periera, B., Roy, E., Sydnor, V.J., Yeatman, J.D., The Fib Community Science Consortium, Satterthwaite, T.D., Rokem, A., An analysis-ready and quality controlled resource for pediatric brain white-matter research. Sci Data 9, 616 (2022). https://doi.org/10.1038/s41597-022-01816-2
  4. Vogel, J.W., Strandberg, O., Gaiteri, C., Cieslak, M., Covitz, S., Wolf, D.A., Davatzikos, C., Hansson, O. and Satterthwaite, T. (2022), An autopsy-validated, easily deployable MRI predictor of Alzheimer’s disease tau pathology. Alzheimer’s Dement., 18: e065959. https://doi.org/10.1002/alz.065959
  5. Baller, E.B., Sweeney, E.M., Cieslak, M.C., Robert-Fitzgerald, T., Covitz, S.C., Martin, M.L., Schindler, M.K., Bar-Or, A., Elahi, A., Larsen, B.S., Manning, A.R., Markowitz, C.E., Perrone, C.M., Rautman, V., Seitz, M.M., Detre, J.A., Fox, M.D., Shinohara, R.T., Satterthwaite, T.D., Mapping the relationship of white matter lesions to depression in multiple sclerosis. Biol Psychiatry, 95 (12) (2024), pp. 1072-1080, 10.1016/j.biopsych.2023.11.010
  6. Sydnor, V.J., Larsen, B., Seidlitz, J., Adebimpe, A., Alexander-Bloch, A.F.., Bassett, D.S., Bertolero, M.A., Cieslak, M., Covitz, S., Fan, Y., Gur, R.E., Gur, R.C., Mackey, A.P., Moore, T. M., Roalf, D.R., Shinohara R.T., & Satterthwaite, T.D., Intrinsic activity development unfolds along a sensorimotor–association cortical axis in youth. Nat Neurosci 26, 638–649 (2023). https://doi.org/10.1038/s41593-023-01282-y
  7. Parkes, L., Kim, J.Z., Stiso, J., Brynildsen, J.K., Cieslak, M., Covitz, S., Gur, R.E., Gur, R.C., Pasqualetti, F., Shinohara, R.T., Zhou, D., Satterthwaite T.D., & Bassett D.S., A network control theory pipeline for studying the dynamics of the structural connectome. Nat Protoc (2024). https://doi.org/10.1038/s41596-024-01023-w
  8. Zhao, C., Tapera, T.M. , Bagautdinova, J., Bourque, J., Covitz, S., Gur, R.E., Gur, R.C., Larsen, B., Mehta, K., Meisler, S.L., Murtha, K., Muschelli, J., Roalf, J.R., Sydnor, V.J., Valcarcel, A.M., Shinohara, R.T., Cieslak, M., Satterthwaite, T.D., ModelArray: An R package for statistical analysis of fixel-wise data. Neuroimage, 271 (2023), Article 120037. https://doi.org/10.1016/j.neuroimage.2023.120037
  9. Luo, A.C., Sydnor, V.J., Pines, A. Larsen, B., Alexander-Bloch, A.F., Cieslak, M., Covitz, S., Chen, A.A., Esper, N.B., Feczko, E., Franco, A.R., Gur, R.E., Gur, R.C., Houghton, A., Hu, F., Keller, A.S., Kiar, G., Mehta, K., Salum, G.A., Tapera, T., Xu, T., Zhao, C., Salo, T., Fair, D.A., Satterthwaite, T.D., Functional connectivity development along the sensorimotor-association axis enhances the cortical hierarchy. Nat Commun 15, 3511 (2024). https://doi.org/10.1038/s41467-024-47748-w
  10. Mehta, K., Taylor Salo, S., Madison, T.J., Adebimpe, A., Bassett, D.S., Bertolero, M., Cieslak, M., Covitz, S., Houghton, A., Keller, A.S., Lundquist, J.T., Luo, A., Miranda-Dominguez, O., Nelson, S.M., Shafiei, G., Shanmugan, S., Shinohara, R.T., Smyser, C.D., Sydnor, V.J., Weldon, K.B., Feczko, E., Fair, D.A., Satterthwaite, T.D., XCP-D: A Robust Pipeline for the Post-Processing of fMRI data. Imaging Neuroscience 2024; doi: https://doi.org/10.1162/imag_a_00257
  11. Adebimpe, A., Bertolero, M., Dolui, S., Cieslak, M., Murtha, K., Baller, E.B., Boeve, B., Boxer, A., Butler, E.R., Cook, P., Colcombe, S., Covitz, S., Davatzikos, C., Davila, D.G., Elliot, M.A., Flounders, M.W., Franco, A.R., Gur, R.E., Gur, R.C., Jaber, B., McMillian, C., the ALLFTD Consortium, Milham, M., Mutsaerts, H.J.M.M., Satterthwaite, T.D., ASLPrep: a platform for processing of arterial spin labeled MRI and quantification of regional brain perfusion. Nat Methods 19, 683–686 (2022). https://doi.org/10.1038/s41592-022-01458-7
  12. Shafiei, G., Keller, A.S., Bertolero, M., Shanmugan, S., Bassett, D.S., Chen, A. A. Covitz, S., Houghton, A., Luo, A., Mehta, K., Salo, T., Shinohara, R.T., Fair, D., Hallquist, M.N., Satterthwaite, T.D., Generalizable Links Between Borderline Personality Traits and Functional Connectivity. Biological Psychiatry, 2024, ISSN 0006-3223, https://doi.org/10.1016/j.biopsych.2024.02.1016
  13. Pines, M., Keller, A.S., Larsen, B., Bertolero, M., Ashourvan, A., Basset, D.S., Cieslak, M., Covitz, S., Fan, Y., Feczko, E., Houghton, A., Rueter, A.R., Tapera, T., Vogel, J., Weinstein, S.M., Shinohara, R.T., Fair, D., Satterthwaite, T.D., Development of Top-Down Cortical Propagations in Youth. Neuron 0896-6273 (2023). https://doi.org/10.1016/j.neuron.2023.01.014
  14. Schabdach J.M., Schmitt J.E., Sotardi S., Vossough, A., Andronikou, S., Roberts, T.P., Huang, H., Padmanabhan, V., Ortiz-Rosa, A., Gardner, M., Covitz, S., Bedford, S.A., Mandal, A.S., Chaiyachati, B.H., White, S.R., Bullmore, E., Bethlehem, R.A.I., Shinohara, R.T., Billot, B., Iglesias, J.E., Ghosh, S., Gur, R.E., Satterthwaite, T.D., Roalf, D., Seidlitz, J., Alexander-Bloch, A., Lifespan Brain Chart Consortium, Brain Growth Charts for Quantitative Analysis of Pediatric Clinical Brain MRI Scans with Limited Imaging Pathology. Radiology 2023;309(1):e230096. https://doi.org/10.1148/radiol.230096