Evidence map›Paper›PMID 29246748›Full record

ArticleBrain stimulation

Impact of brain shift on subcallosal cingulate deep brain stimulation.

Ki Sueng Choi, Angela M Noecker, Patricio Riva-Posse, Justin K Rajendra, Robert E Gross, Helen S Mayberg, Cameron C McIntyre

Open access · greenAbstract read
In one paragraph

Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

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  6. StimVision v2: Examples and Applications in Subthalamic Deep Brain Stimulation for Parkinson's Disease.Neuromodulation : journal of the International Neuromodulation Society · 2021
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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

7 authors at 3 institutions in 1 country.

Ki Sueng ChoiDepartment of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States.
Angela M NoeckerDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Patricio Riva-PosseDepartment of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States.
Justin K RajendraScientific and Statistical Computational Core, National Institute of Mental Health, NIH, Bethesda, MD, United States.
Robert E GrossDepartment of Neurosurgery, Emory University, Atlanta, GA, United States.
Helen S MaybergDepartment of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States.
Cameron C McIntyreDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States. Electronic address: ccm4@case.edu.
Emory University · USCase Western Reserve University · USNational Institute of Mental Health · US

Funding

Scientific and Statistical Computing CoreZICMH002888 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI TAYLOR, PAUL · 2009 to 2025
$30.9M
Electrophysiological Biomarkers to Optimize DBS for DepressionUH3NS103550 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MAYBERG, HELEN S, RIVA-POSSE, PATRICIO · 2017 to 2023
$7.7M
Tractography-Activation Models for Neuropsychiatric Deep StimulationR01MH102238 · NIMH · DUKE UNIVERSITY · PI MCINTYRE, CAMERON · 2014 to 2025
$4.5M
NIMH NIH HHS R01 MH102238NINDS NIH HHS UH3 NS103550
6 · The paper itself

Abstract

backgroundDeep brain stimulation (DBS) of the subcallosal cingulate (SCC) is an emerging experimental therapy for treatment-resistant depression. New developments in SCC DBS surgical targeting are focused on identifying specific axonal pathways for stimulation that are estimated from preoperatively collected diffusion-weighted imaging (DWI) data. However, brain shift induced by opening burr holes in the skull may alter the position of the target pathways.

objectivesQuantify the effect of electrode location deviations on tractographic representations for stimulating the target pathways using longitudinal clinical imaging datasets.

methodsPreoperative MRI and DWI data (planned) were coregistered with postoperative MRI (1 day, near-term) and CT (3 weeks, long-term) data. Brain shift was measured with anatomical control points. Electrode models corresponding to the planned, near-term, and long-term locations were defined in each hemisphere of 15 patients. Tractography analyses were performed using estimated stimulation volumes as seeds centered on the different electrode positions.

resultsMean brain shift of 2.2 mm was observed in the near-term for the frontal pole, which resolved in the long-term. However, electrode displacements from the planned stereotactic target location were observed in the anterior-superior direction in both the near-term (mean left electrode shift: 0.43 mm, mean right electrode shift: 0.99 mm) and long-term (mean left electrode shift: 1.02 mm, mean right electrode shift: 1.47 mm). DBS electrodes implanted in the right hemisphere (second-side operated) were more displaced from the plan than those in the left hemisphere. These displacements resulted in 3.6% decrease in pathway activation between the electrode and the ventral striatum, but 2.7% increase in the frontal pole connection, compared to the plan. Remitters from six-month chronic stimulation had less variance in pathway activation patterns than the non-remitters.

conclusionsBrain shift is an important concern for SCC DBS surgical targeting and can impact connectomic analyses.

Indexed as

AdultAgedBrainDeep Brain StimulationDepressive Disorder, Treatment-ResistantDiffusion Tensor ImagingElectrodes, ImplantedFemaleHumansMaleMiddle AgedConnectomicElectrodeNeurosurgeryStereotacticTractography

Identifiers

PMID29246748
PMCPMC5803301
OpenAlexW2771175006

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.