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Proton Density MR Imaging: A Simple and Powerful Sequence to Visualise Anatomical Structures in Functional Neurosurgery.

Overview

Authors: Ludvic Zrinzo1, Anastasia Papadaki2, Harith Akram1, Marwan Hariz3, Marie Therese Krueger1
  1. UCL Functional Neurosurgery Unit, Department of Clinical and Motor Neurosciences, Institute of Neurology, University College London and National Hospital for Neurology and Neurosurgery – UCLH, Queen Square, London, UK
  2. Radiology, Institute of Neurology, University College London and National Hospital for Neurology and Neurosurgery – UCLH, Queen Square, London, UK
  3. Department of Neurosurgery, University Hospital of Umea, Umeå, Sweden
Dates: received 24 February 2026; accepted 12 April 2026; published online 23 April 2026; in print April 2026
Type: Review · Language: English
License: CC BY-NC
Identifiers: DOI 10.1159/000552105 · PMID 42024653 · PMCID PMC13299127 · OpenAlex W7155378624
Open access: hybrid, a free copy (OpenAlex)
Status: data only
Categories: structural MRI / diffusion (modality), human (organism), clinical / translational (subfield)
Keywords: Functional imaging, Functional neurosurgery, Magnetic resonance imaging, Image-guided neurosurgery, Proton density
Topic: Neurological disorders and treatments (Neurology, Medicine), according to OpenAlex
Citations: not cited yet (Europe PMC); 53 references in the paper

Abstract

Introduction: Direct visualisation of subcortical structures has become increasingly important in functional neurosurgery, improving targeting accuracy and enabling reliable postoperative verification. Proton density weighted (PDW) MRI is widely accessible, rapid, and provides exceptional grey-white matter contrast, yet its full utility for functional neurosurgical targeting has not been comprehensively reviewed. This study summarises the available evidence and illustrates the use of PDW imaging to identify key anatomical targets relevant to deep brain stimulation, radiofrequency ablation, and focused ultrasound.

Methods: A systematic review of the literature following PRISMA guidelines was performed using predefined terms related to PDW imaging and functional neurosurgery. In vivo studies describing PDW visualisation of basal ganglia nuclei, thalamic subnuclei, white matter pathways, and brain stem targets were included. To complement the literature, representative PDW images from the authors’ clinical practice were analysed and correlated with established human anatomy. These images were used to demonstrate relevant radiological anatomy and postoperative confirmation of electrode placement or lesion location across a range of functional neurosurgical procedures.

Results: Thirteen studies comprising 326 subjects met the inclusion criteria. Published work described PDW visualisation of the ventral intermediate nucleus, globus pallidus, habenula, mammillothalamic tract, centromedian nucleus, and pedunculopontine nucleus. Additional important structures in functional neurosurgery that are visible on PDW images, and used by the authors in clinical practice, but not yet mentioned in the literature, include the pallidothalamic tract, leading to the ventral oral nuclei; anterior limb of the internal capsule; fornix; bed nucleus of the stria terminalis; nucleus accumbens; and anterior cingulum.

Conclusion: PDW MRI is a powerful and underutilised technique for direct, anatomy-based targeting in functional neurosurgery. Its robustness, accessibility, and high-quality structural contrast support accurate stereotactic planning and objective postoperative verification. Wider adoption of PDW imaging may improve surgical precision, reduce reliance on indirect targeting methods, and expand the range of structures amenable to image-guided functional neurosurgical intervention.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

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Data

Datasets cited

Data Availability Statement

No new datasets were generated or analysed for this review. The literature reviewed is publicly available. Clinical images shown are illustrative examples from routine clinical practice and are not publicly available due to patient privacy and data protection restrictions. Further enquiries can be directed to the corresponding author.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 29 September 2026: the first record

Recorded: type, language, journal, pages, dates, 5 authors, 5 keywords, 50 references.

Cite

This paper

Zrinzo, L., Papadaki, A., Akram, H., Hariz, M., & Krueger, M. T. (2026). Proton Density MR Imaging: A Simple and Powerful Sequence to Visualise Anatomical Structures in Functional Neurosurgery. Stereotactic and functional neurosurgery, 1-12. https://doi.org/10.1159/000552105

BibTeX

@article{zrinzo2026proton,
author = {Zrinzo, Ludvic and Papadaki, Anastasia and Akram, Harith and Hariz, Marwan and Krueger, Marie Therese},
title = {{Proton Density MR Imaging: A Simple and Powerful Sequence to Visualise Anatomical Structures in Functional Neurosurgery}},
journal = {Stereotactic and functional neurosurgery},
year = {2026},
month = apr,
pages = {1--12},
publisher = {Karger Publishers},
issn = {1011-6125},
doi = {10.1159/000552105},
url = {https://doi.org/10.1159/000552105},
pmid = {42024653},
pmcid = {PMC13299127}
}

RIS

TY - JOUR
AU - Zrinzo, Ludvic
AU - Papadaki, Anastasia
AU - Akram, Harith
AU - Hariz, Marwan
AU - Krueger, Marie Therese
TI - Proton Density MR Imaging: A Simple and Powerful Sequence to Visualise Anatomical Structures in Functional Neurosurgery
T2 - Stereotactic and functional neurosurgery
J2 - Stereotact Funct Neurosurg
PY - 2026
DA - 2026/04/23
SP - 1
EP - 12
SN - 1011-6125
PB - Karger Publishers
DO - 10.1159/000552105
UR - https://doi.org/10.1159/000552105
LA - en
ER -

CSL-JSON

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