Name
Abstract | ||
|---|---|---|
Brain connectivity profiles seeding from deep brain stimulation (DBS) electrodes have emerged as informative tools to estimate outcome variability across DBS patients. Given the limitations of acquiring and processing patient-specific diffusion-weighted imaging data, a number of studies have employed normative atlases of the human connectome. To date, it remains unclear whether patient-specific connectivity information would strengthen the accuracy of such analyses. Here, we compared similarities and differences between patient-specific, disease-matched and normative structural connectivity data and their ability to predict clinical improvement. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neuroimage.2020.117307 | NeuroImage |
Keywords | DocType | Volume |
Deep brain stimulation,Subthalamic nucleus,Parkinson's disease,Human connectome,Tractography | Journal | 224 |
ISSN | Citations | PageRank |
1053-8119 | 1 | 0.34 |
References | Authors | |
15 | 13 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiang Wang | 1 | 1 | 0.34 |
| Harith Akram | 2 | 9 | 2.31 |
| Muthuraman Muthuraman | 3 | 2 | 3.42 |
| Gabriel Gonzalez-Escamilla | 4 | 1 | 0.34 |
| Sheth | 5 | 12 | 4.26 |
| Simón Oxenford | 6 | 1 | 0.34 |
| Fang-Cheng Yeh | 7 | 53 | 4.57 |
| Sergiu Groppa | 8 | 10 | 3.14 |
| Nora Vanegas-Arroyave | 9 | 1 | 0.34 |
| Ludvic Zrinzo | 10 | 34 | 3.51 |
| Ningfei Li | 11 | 32 | 2.68 |
| Andrea A Kühn | 12 | 69 | 5.74 |
| Andreas Horn | 13 | 96 | 7.92 |