Evidence map›Paper›PMID 22173294›Full record

ArticleNeuroImage2012

Confirmation of functional zones within the human subthalamic nucleus: patterns of connectivity and sub-parcellation using diffusion weighted imaging.

Christian Lambert, Ludvic Zrinzo, Zoltan Nagy, Antoine Lutti, Marwan Hariz, Thomas Foltynie, Bogdan Draganski, John Ashburner, Richard Frackowiak

Abstract read
In one paragraph

Article in NeuroImage, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 4 pooled it
–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

141 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  19. Subthalamic nucleus-language network connectivity predicts dopaminergic modulation of speech function in Parkinson's disease.Proceedings of the National Academy of Sciences of the United States of America · 2024
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81 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

9 authors.

Christian LambertWellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, UK. clambert112358@gmail.com
Ludvic Zrinzo
Zoltan Nagy
Antoine Lutti
Marwan Hariz
Thomas Foltynie
Bogdan Draganski
John Ashburner
Richard Frackowiak

Funding

Wellcome Trust 075696/Z/04/ZWellcome Trust 091593Wellcome Trust 091593/Z/10/Z
6 · The paper itself

Abstract

The subthalamic nucleus (STN) is a small, glutamatergic nucleus situated in the diencephalon. A critical component of normal motor function, it has become a key target for deep brain stimulation in the treatment of Parkinson's disease. Animal studies have demonstrated the existence of three functional sub-zones but these have never been shown conclusively in humans. In this work, a data driven method with diffusion weighted imaging demonstrated that three distinct clusters exist within the human STN based on brain connectivity profiles. The STN was successfully sub-parcellated into these regions, demonstrating good correspondence with that described in the animal literature. The local connectivity of each sub-region supported the hypothesis of bilateral limbic, associative and motor regions occupying the anterior, mid and posterior portions of the nucleus respectively. This study is the first to achieve in-vivo, non-invasive anatomical parcellation of the human STN into three anatomical zones within normal diagnostic scan times, which has important future implications for deep brain stimulation surgery.

Indexed as

Diffusion Magnetic Resonance ImagingDiffusion Tensor ImagingAdultBrain MappingFemaleHumansMaleReview Literature as TopicSubthalamic Nucleus

Identifiers

PMID22173294
PMCPMC3315017

What OpenQuestion holds

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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.