Lead DBS

@leaddbs

Open source toolbox to model deep brain stimulation electrodes in the human brain. Part of Lead Neuroimaging Suite () Tweets by .

Berlin
Vrijeme pridruživanja: veljača 2016.

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  1. prije 1 sat

    Interesting case on DBS for genet. confirmed Chorea-Acanthocytosis from the team at . DBS between GPe and putamen led to improvement of speech, swallowing and chorea, weight gain and improvements in daily living.

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  2. 4. velj

    Very interesting case about GPe stimulation for insomnia with good results and work up by team

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  3. proslijedio/la je Tweet
    31. sij
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  4. proslijedio/la je Tweet
    28. sij

    Next milestones for open DBS imaging ! Great work from the team.

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  5. 26. sij

    Extraordinary has-it-all study with i) novel way to parcellate the thamalus based on MP2RAGE, ii) largest cohort of patients N=19 with LGS epilepsy iii) electrode reconstructions in CM nucleus, iv) micro-electrode recordings and v) rs-fMRI connectivity! 👏👏

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  6. 25. sij

    It just became pretty easy to compare patient-specific electrode localizations to literature-based DBS targets within Lead-DBS.

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  7. proslijedio/la je Tweet
    25. sij

    my paper is finally out in JNNP! we describe a new method for targeting the centromedian nucleus for deep brain stimulation using MP2RAGE MRI, intraop microelectrode recordings, and resting-state fMRI connectivity

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  8. 24. sij
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    23. sij

    So exciting to see that labs are using the template in ! If people are interested in the native-space or MNI-coregistered datasets, they are at Dryad and OpenNeuro Additional details:

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  10. proslijedio/la je Tweet
    20. sij

    If you’re in Germany, conduct research related to Parkinson’s Disease and are looking to go abroad, consider applying for a fellowship with the Thiemann foundation!

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  11. 20. sij

    It's now possible to plan trajectories (for research purposes) and visualize them as electrodes of different type on the fly. Helpful for creating figures or literature-based electrodes.

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  12. 20. sij

    From now on, volumes of tissue activated will be estimated in native space and ported to template on the fly in Lead-DBS. Also much more flexible parameters for VTAs in general. New release this Friday!

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  13. 19. sij

    Interesting study by Hai Lin et al. that extracted connectiity of electrode localizations with random forrest classifiers to predict effective vs. ineffective DBS contacts with 85% accuracy in the validation group.

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  14. proslijedio/la je Tweet
    16. sij

    Study by introducing a tool for group level analyses in the deep brain stimulation imaging field 👇👇👇

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  15. proslijedio/la je Tweet
    16. sij

    Comparison of data driven Connectome filtering (based on dMRI, A&B) with a holographic tract atlas by Petersen et al. recently published in give similar result of the hyperdirect pathway.

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  17. proslijedio/la je Tweet
    16. sij

    Overly happy and grateful for being part of this project! Check out this wonderful toolbox :

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  18. 16. sij

    Finally, we estimate which fibertracts are exclusively connected with good responders, thus isolating the hyperdirect pathway in a data-driven fashion from a whole-brain connectome. Comparison with the Petersen tract atlas of the hyperdirect pathway.

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  19. 16. sij

    We then explore connectivity, how structural connections to different cortical regions correlate with improvement. This figure done outside of with Chris Rorden's excellent Surfice tool.

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  20. 16. sij

    Some analyses in Lead group require group assignments, so we split the cohort in half to have the top responding half vs. the poorest responding half. Those have significantly different overlaps with the target structure (STN).

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