Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Lauren Jean O'Donnell, Ph.D.

Co-Author

This page shows the publications co-authored by Lauren O'Donnell and Yogesh Rathi.
Connection Strength

5.020
  1. The Organization of Frontostriatal Brain Wiring in Healthy Subjects Using a Novel Diffusion Imaging Fiber Cluster Analysis. Cereb Cortex. 2021 Oct 22; 31(12):5308-5318.
    View in: PubMed
    Score: 0.248
  2. Patient-specific connectomic models correlate with, but do not reliably predict, outcomes in deep brain stimulation for obsessive-compulsive disorder. Neuropsychopharmacology. 2021 Oct 07.
    View in: PubMed
    Score: 0.248
  3. Comparison of multiple tractography methods for reconstruction of the retinogeniculate visual pathway using diffusion MRI. Hum Brain Mapp. 2021 Aug 15; 42(12):3887-3904.
    View in: PubMed
    Score: 0.241
  4. TRAKO: Efficient Transmission of Tractography Data for Visualization. Med Image Comput Comput Assist Interv. 2020 Oct; 12267:322-332.
    View in: PubMed
    Score: 0.231
  5. Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation. Med Image Anal. 2020 10; 65:101761.
    View in: PubMed
    Score: 0.227
  6. Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification. Neuroimage. 2020 10 15; 220:117063.
    View in: PubMed
    Score: 0.226
  7. SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization. JCO Clin Cancer Inform. 2020 03; 4:299-309.
    View in: PubMed
    Score: 0.222
  8. Anatomical assessment of trigeminal nerve tractography using diffusion MRI: A comparison of acquisition b-values and single- and multi-fiber tracking strategies. Neuroimage Clin. 2020; 25:102160.
    View in: PubMed
    Score: 0.219
  9. Deep white matter analysis: fast, consistent tractography segmentation across populations and dMRI acquisitions. Med Image Comput Comput Assist Interv. 2019 Oct; 11766:599-608.
    View in: PubMed
    Score: 0.216
  10. Test-retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering. Hum Brain Mapp. 2019 07; 40(10):3041-3057.
    View in: PubMed
    Score: 0.207
  11. Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive disorder. Neuroimage. 2018 11 01; 181:16-29.
    View in: PubMed
    Score: 0.198
  12. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. Neuroimage. 2018 10 01; 179:429-447.
    View in: PubMed
    Score: 0.197
  13. Genetic load determines atrophy in hand cortico-striatal pathways in presymptomatic Huntington's disease. Hum Brain Mapp. 2018 10; 39(10):3871-3883.
    View in: PubMed
    Score: 0.196
  14. Free water modeling of peritumoral edema using multi-fiber tractography: Application to tracking the arcuate fasciculus for neurosurgical planning. PLoS One. 2018; 13(5):e0197056.
    View in: PubMed
    Score: 0.196
  15. Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis. Neuroimage. 2018 05 01; 171:341-354.
    View in: PubMed
    Score: 0.191
  16. Image Registration to Compensate for EPI Distortion in Patients with Brain Tumors: An Evaluation of Tract-Specific Effects. J Neuroimaging. 2018 03; 28(2):173-182.
    View in: PubMed
    Score: 0.191
  17. SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research. Cancer Res. 2017 11 01; 77(21):e101-e103.
    View in: PubMed
    Score: 0.189
  18. Whole brain white matter connectivity analysis using machine learning: An application to autism. Neuroimage. 2018 05 15; 172:826-837.
    View in: PubMed
    Score: 0.188
  19. Performance of unscented Kalman filter tractography in edema: Analysis of the two-tensor model. Neuroimage Clin. 2017; 15:819-831.
    View in: PubMed
    Score: 0.184
  20. Automated white matter fiber tract identification in patients with brain tumors. Neuroimage Clin. 2017; 13:138-153.
    View in: PubMed
    Score: 0.177
  21. Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography. Int J Comput Assist Radiol Surg. 2016 Aug; 11(8):1475-86.
    View in: PubMed
    Score: 0.166
  22. Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? Med Image Anal. 2015 Dec; 26(1):316-31.
    View in: PubMed
    Score: 0.164
  23. Reconstruction of the arcuate fasciculus for surgical planning in the setting of peritumoral edema using two-tensor unscented Kalman filter tractography. Neuroimage Clin. 2015; 7:815-22.
    View in: PubMed
    Score: 0.157
  24. Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? Neuroimage. 2021 11; 243:118502.
    View in: PubMed
    Score: 0.061
  25. Exposure to Repetitive Head Impacts Is Associated With Corpus Callosum Microstructure and Plasma Total Tau in Former Professional American Football Players. J Magn Reson Imaging. 2021 Jun 16.
    View in: PubMed
    Score: 0.061
  26. Sex-Related Differences in White Matter Asymmetry and Its Implications for Verbal Working Memory in Psychosis High-Risk State. Front Psychiatry. 2021; 12:686967.
    View in: PubMed
    Score: 0.061
  27. 3D Exploration of the Brainstem in 50-Micron Resolution MRI. Front Neuroanat. 2020; 14:40.
    View in: PubMed
    Score: 0.058
  28. Individual variations of the human corticospinal tract and its hand-related motor fibers using diffusion MRI tractography. Brain Imaging Behav. 2020 Jun; 14(3):696-714.
    View in: PubMed
    Score: 0.056
  29. Longitudinal diffusion changes in prodromal and early HD: Evidence of white-matter tract deterioration. Hum Brain Mapp. 2017 03; 38(3):1460-1477.
    View in: PubMed
    Score: 0.045
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.