Data-driven spectral features of directional DBS electrodes and dDBS-ECoG connectivity
| Autor: | Jeffrey Herron, Andrew L. Ko, Jeffrey G. Ojemann, Lila H. Levinson, Courtnie Paschall |
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| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Computer science business.industry Satellite broadcasting Pattern recognition Neural engineering Broadband communication Data-driven 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Electrode Leverage (statistics) Artificial intelligence business 030217 neurology & neurosurgery |
| Zdroj: | NER |
| Popis: | Directional DBS electrodes are a novel probe design enabling targeted stimulation of subcortical structures. Here, we leverage methods of broadband time-amplitude correlation and spectral power comparison to demonstrate and characterize the unique directional sensing ability of these novel probes. This work avoids preset frequency banding to highlight the electrode- and anatomy-specific spectral characteristics within each subject's neural recordings. Using precise whole-brain reconstruction, spectral features are associated with specific subcortical structures across six patients implanted for treatment of neurological movement disorders, supporting the utility of directional leads as a tool for biomarker sensing and discovery. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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