Evidence map›Paper›PMID 36038737›Full record

ArticleBrain structure & function2023

Quantitative susceptibility atlas construction in Montreal Neurological Institute space: towards histological-consistent iron-rich deep brain nucleus subregion identification.

Chenyu He, Xiaojun Guan, Weimin Zhang, Jun Li, Chunlei Liu, Hongjiang Wei, Xiaojun Xu, Yuyao Zhang

Erratum issuedAbstract read
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In one paragraph

Article in Brain structure & function, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Chenyu He *School of Information Science and Technology, ShanghaiTech University, 393 Huaxia Road, Shanghai, 201210, China.
Xiaojun Guan *Department of Radiology of The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
Weimin ZhangSchool of Information Science and Technology, ShanghaiTech University, 393 Huaxia Road, Shanghai, 201210, China.
Jun LiSchool of Information Science and Technology, ShanghaiTech University, 393 Huaxia Road, Shanghai, 201210, China.
Chunlei LiuElectrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, 94720, United States.
Hongjiang WeiSchool of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200030, China.
Xiaojun XuDepartment of Radiology of The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
Yuyao ZhangSchool of Information Science and Technology, ShanghaiTech University, 393 Huaxia Road, Shanghai, 201210, China. zhangyy8@shanghaitech.edu.cn.
ShanghaiTech University · CNSecond Affiliated Hospital of Zhejiang University · CNShanghai Jiao Tong University · CNUniversity of California, Berkeley · US

Funding

National Natural Science Foundation of China 61901256National Natural Science Foundation of China 62071299National Natural Science Foundation of China 82001767National Natural Science Foundation of China 91949120
6 · The paper itself

Abstract

Iron-rich deep brain nuclei (DBN) of the human brain are involved in various motoric, emotional and cognitive brain functions. The abnormal iron alterations in the DBN are closely associated with multiple neurological and psychiatric diseases. Quantitative susceptibility mapping (QSM) provides the spatial distribution of the magnetic susceptibility of human brain tissues. Compared to traditional structural imaging, QSM provides superiority for imaging the iron-rich DBN owing to the susceptibility difference existing between brain tissues. In this study, we constructed a Montreal Neurological Institute (MNI) space unbiased QSM human brain atlas via group-wise registration from 100 healthy subjects aged 19-29 years. The atlas construction process was guided by hybrid images that were fused from multi-modal magnetic resonance images (MRI). We named it as Multi-modal-fused magnetic Susceptibility (MuSus-100) atlas. The high-quality susceptibility atlas provides extraordinary image contrast between iron-rich DBN with their surroundings. Parcellation maps of DBN and their subregions that are highly related to neurological and psychiatric pathology were then manually labeled based on the atlas set with the assistance of an image border-enhancement process. Especially, the bilateral thalamus was delineated into 64 detailed subregions referring to the Schaltenbrand-Wahren stereotactic atlas. To our best knowledge, the histological-consistent thalamic nucleus parcellation map is well defined for the first time in the MNI space. Compared with existing atlases that emphasizing DBN parcellation, the newly proposed atlas outperforms on the task of atlas-guided individual brain image DBN segmentation both in accuracy and robustness. Moreover, we applied the proposed DBN parcellation map to conduct detailed identification of the pathology-related iron content alterations in subcortical nuclei for Parkinson's Disease (PD) patients. We envision that the MuSus-100 atlas can play a crucial role in improving the accuracy of DBN segmentation for the research of neurological and psychiatric disease progress and also be helpful for target planning in deep brain stimulation surgery.

Indexed as

Gray MatterIronBrainBrain MappingHumansMagnetic Resonance ImagingIronBasal gangliaDeep brain nucleiMulti-modal atlasesParcellationQuantitative susceptibility atlasQuantitative susceptibility mappingThalamus

Identifiers

PMID36038737
OpenAlexW4293499234

What OpenQuestion holds

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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 OpenQuestion graph.