Predicting the effects of deep brain stimulation with diffusion tensor based electric field models.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2006 · Unclear · Insufficient evidence

← Research stream

UnclearInsufficient evidencePaper 3501

Study snapshot

PublicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2006

Study typeengineering

Reported directionUnclear

Evidence ratingInsufficient

Abstract

Deep brain stimulation (DBS) is an established therapy for the treatment of movement disorders, and has shown promising results for the treatment of a wide range of other neurological disorders. However, little is known about the mechanism of action of DBS or the volume of brain tissue affected by stimulation. We have developed methods that use anatomical and diffusion tensor MRI (DTI) data to predict the volume of tissue activated (VTA) during DBS. We co-register the imaging data with detailed finite element models of the brain and stimulating electrode to enable anatomically and electrically accurate predictions of the spread of stimulation. One critical component of the model is the DTI tensor field that is used to represent the 3-dimensionally anisotropic and inhomogeneous tissue conductivity. With this system we are able to fuse structural and functional information to study a relevant clinical problem: DBS of the subthalamic nucleus for the treatment of Parkinsons disease (PD). Our results show that inclusion of the tensor field in our model caused significant differences in the size and shape of the VTA when compared to a homogeneous, isotropic tissue volume. The magnitude of these differences was proportional to the stimulation voltage. Our model predictions are validated by comparing spread of predicted activation to observed effects of oculomotor nerve stimulation in a PD patient. In turn, the 3D tissue electrical properties of the brain play an important role in regulating the spread of neural activation generated by DBS.

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeengineering

Effect directionunclear

PopulationParkinsons disease (PD) patient (DBS of the subthalamic nucleus)

Sample sizeNot supplied

ExposureNot supplied

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

Finite element DBS electric field models incorporating DTI-derived anisotropic conductivity produced significant differences in the predicted size and shape of the volume of tissue activated compared with homogeneous isotropic tissue models, with differences increasing with stimulation voltage. Model predictions were compared to observed effects of oculomotor nerve stimulation in a PD patient as validation.

Outcomes measured

Predicted volume of tissue activated (VTA) during DBS
Differences in VTA size and shape with anisotropic (DTI-based) vs homogeneous isotropic conductivity models
Validation against observed oculomotor nerve stimulation effects

Limitations

Mechanistic/engineering modeling study rather than a health outcome study
Sample size not reported; validation described for a single PD patient
Stimulation parameters (e.g., frequency, pulse width) not reported in abstract

View raw extracted JSON

{
  "study_type": "engineering",
  "exposure": {
    "band": null,
    "source": "deep brain stimulation (DBS) electrode",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": "Parkinsons disease (PD) patient (DBS of the subthalamic nucleus)",
  "sample_size": null,
  "outcomes": [
    "Predicted volume of tissue activated (VTA) during DBS",
    "Differences in VTA size and shape with anisotropic (DTI-based) vs homogeneous isotropic conductivity models",
    "Validation against observed oculomotor nerve stimulation effects"
  ],
  "main_findings": "Finite element DBS electric field models incorporating DTI-derived anisotropic conductivity produced significant differences in the predicted size and shape of the volume of tissue activated compared with homogeneous isotropic tissue models, with differences increasing with stimulation voltage. Model predictions were compared to observed effects of oculomotor nerve stimulation in a PD patient as validation.",
  "effect_direction": "unclear",
  "limitations": [
    "Mechanistic/engineering modeling study rather than a health outcome study",
    "Sample size not reported; validation described for a single PD patient",
    "Stimulation parameters (e.g., frequency, pulse width) not reported in abstract"
  ],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "deep brain stimulation",
    "DBS",
    "diffusion tensor imaging",
    "DTI",
    "finite element model",
    "electric field model",
    "tissue conductivity",
    "anisotropy",
    "volume of tissue activated",
    "subthalamic nucleus",
    "Parkinsons disease"
  ],
  "suggested_hubs": []
}

AI can be wrong. Always verify against the paper.

AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1007/11866763_53
PubMed: 17354801

Read the original paper →

Related papers

← Back to the Research Library