کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5631653 | 1580860 | 2017 | 10 صفحه PDF | دانلود رایگان |

- Conversion tool between MNI space (used in neuroimaging) and AC/PC coordinates (used in neurosurgical literature).
- Approach validated using deep brain stimulation electrodes in Parkinson's Disease and Treatment-resistant Depression.
- Deep brain stimulation target definitions within MNI space across eight diseases.
- Characterization of deep brain stimulation target for Essential Tremor using multiple subcortical atlases and standardized structural and functional connectomes.
In neurosurgical literature, findings such as deep brain stimulation (DBS) electrode positions are conventionally reported in relation to the anterior and posterior commissures of the individual patient (AC/PC coordinates). However, the neuroimaging literature including neuroanatomical atlases, activation patterns, and brain connectivity maps has converged on a different population-based standard (MNI coordinates). Ideally, one could relate these two literatures by directly transforming MRIs from neurosurgical patients into MNI space. However obtaining these patient MRIs can prove difficult or impossible, especially for older studies or those with hundreds of patients. Here, we introduce a methodology for mapping an AC/PC coordinate (such as a DBS electrode position) to MNI space without the need for MRI scans from the patients themselves. We validate our approach using a cohort of DBS patients in which MRIs are available, and test whether several variations on our approach provide added benefit. We then use our approach to convert previously reported DBS electrode coordinates from eight different neurological and psychiatric diseases into MNI space. Finally, we demonstrate the value of such a conversion using the DBS target for essential tremor as an example, relating the site of the active DBS contact to different MNI atlases as well as anatomical and functional connectomes in MNI space.
Journal: NeuroImage - Volume 150, 15 April 2017, Pages 395-404