Evidence map›Paper›PMID 38439939›Full record

ArticleFrontiers in human neuroscience2024

DiMANI: diffusion MRI for anatomical nuclei imaging-Application for the direct visualization of thalamic subnuclei.

Rémi Patriat, Tara Palnitkar, Jayashree Chandrasekaran, Karianne Sretavan, Henry Braun, Essa Yacoub, Robert A McGovern, Joshua Aman, Scott E Cooper, Jerrold L Vitek and 1 more

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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  5. Review
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

11 authors.

Rémi PatriatCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States.
Tara PalnitkarCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States.
Jayashree ChandrasekaranCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States.
Karianne SretavanCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States.
Henry BraunCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States.
Essa YacoubCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States.
Robert A McGovernDepartment of Neurosurgery, University of Minnesota, Minneapolis, MN, United States.
Joshua AmanDepartment of Neurology, University of Minnesota, Minneapolis, MN, United States.
Scott E CooperDepartment of Neurology, University of Minnesota, Minneapolis, MN, United States.
Jerrold L VitekDepartment of Neurology, University of Minnesota, Minneapolis, MN, United States.
Noam HarelCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States.

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Mehmet Akcakaya · 2019 to 2026
$11.7M
Understanding Circuit Dynamics in Parkinson's Disease using Real-Time Neural ControlP50NS123109 · NINDS · UNIVERSITY OF MINNESOTA · PI AMAN, JOSHUA E · 2021 to 2025
$11.3M
Algorithms for programming deep brain stimulation systemsR01NS081118 · NINDS · UNIVERSITY OF MINNESOTA · PI HAREL, NOAM, JOHNSON, MATTHEW DOUGLAS · 2012 to 2023
$4.0M
Corticosubthalamic Plasticity in the Parkinsonian StateR01NS113746 · NINDS · EMORY UNIVERSITY · PI HAREL, NOAM, MACKINNON, COLUM D · 2019 to 2023
$3.5M
Computer Aided Diagnostic System for Prostate Cancer Detection Using Quantitative Multiparametric MRIR01CA241159 · NCI · UNIVERSITY OF MINNESOTA · PI METZGER, GREGORY JOHN · 2021 to 2025
$3.0M
7 Tesla Terra InstrumentS10OD025256 · OD · UNIVERSITY OF MINNESOTA · PI HAREL, NOAM · 2018 to 2018
$2.0M
NCI NIH HHS R01 CA241159NIBIB NIH HHS P41 EB027061NIH HHS S10 OD025256NINDS NIH HHS P50 NS123109NINDS NIH HHS R01 NS081118NINDS NIH HHS R01 NS113746
6 · The paper itself

Abstract

The thalamus is a centrally located and heterogeneous brain structure that plays a critical role in various sensory, motor, and cognitive processes. However, visualizing the individual subnuclei of the thalamus using conventional MRI techniques is challenging. This difficulty has posed obstacles in targeting specific subnuclei for clinical interventions such as deep brain stimulation (DBS). In this paper, we present DiMANI, a novel method for directly visualizing the thalamic subnuclei using diffusion MRI (dMRI). The DiMANI contrast is computed by averaging, voxelwise, diffusion-weighted volumes enabling the direct distinction of thalamic subnuclei in individuals. We evaluated the reproducibility of DiMANI through multiple approaches. First, we utilized a unique dataset comprising 8 scans of a single participant collected over a 3-year period. Secondly, we quantitatively assessed manual segmentations of thalamic subnuclei for both intra-rater and inter-rater reliability. Thirdly, we qualitatively correlated DiMANI imaging data from several patients with Essential Tremor with the localization of implanted DBS electrodes and clinical observations. Lastly, we demonstrated that DiMANI can provide similar features at 3T and 7T MRI, using varying numbers of diffusion directions. Our results establish that DiMANI is a reproducible and clinically relevant method to directly visualize thalamic subnuclei. This has significant implications for the development of new DBS targets and the optimization of DBS therapy.

Indexed as

DBSdiffusion MRIDiMANIdirect visualizationthalamic subnucleithalamusthalamus parcellation

Identifiers

PMID38439939
PMCPMC10910100

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.