Evidence map›Paper›PMID 28163141›Full record

ArticleNeuroImage2017

Probabilistic conversion of neurosurgical DBS electrode coordinates into MNI space.

Andreas Horn, Andrea A Kühn, Angela Merkl, Ludy Shih, Ron Alterman, Michael Fox

Open access · greenAbstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 4 pooled it
9.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 4 syntheses or guidelines pooled it, 162 citations in OpenAlex.

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  16. Deep brain stimulation is well tolerated and effective following ProSavin® gene therapy for Parkinson's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
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  19. Evaluating the Relationship Between Motor and Cognitive Impairment and Lesion Size and Location Post-Stroke Using CT Scans.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  20. Article

15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Andreas HornBerenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Charité - University Medicine Berlin, Department of Neurology, Movement Disorder and Neuromodulation Unit, Germany. Electronic address: ahorn1@bidmc.harvard.edu.
Andrea A KühnCharité - University Medicine Berlin, Department of Neurology, Movement Disorder and Neuromodulation Unit, Germany.
Angela MerklCharité - University Medicine Berlin, Department of Neurology, Movement Disorder and Neuromodulation Unit, Germany.
Ludy ShihBerenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Ron AltermanBerenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Beth Israel Deaconess Medical Center, Neurosurgery Department, Harvard Medical School, Boston, MA 02215.
Michael FoxBerenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA.
Berenson Allen Center for Noninvasive Brain Stimulation · USCharité - Universitätsmedizin Berlin · DEHarvard University · USMassachusetts General Hospital · US

Funding

Use of Resting-State Networks to Predict the Ideal Site for Brain StimulationK23NS083741 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FOX, MICHAEL D · 2013 to 2017
$980k
NINDS NIH HHS K23 NS083741
6 · The paper itself

Abstract

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.

Indexed as

Atlases as TopicAdultAgedAged, 80 and overBrainBrain MappingDeep Brain StimulationFemaleHumansMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID28163141
PMCPMC6050588
OpenAlexW2583340629

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.