Evidence map›Paper›PMID 31942767›Full record

ArticleJournal of clinical neurology (Seoul, Korea)2020

Individual-Level Lesion-Network Mapping to Visualize the Effects of a Stroke Lesion on the Brain Network: Connectograms in Stroke Syndromes.

Jae Sung Lim, Jae Joong Lee, Choong Wan Woo, Jooyeon Song, Mi Sun Oh, Kyung Ho Yu, Byung Chul Lee

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical neurology (Seoul, Korea), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
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

7 authors at 2 institutions in 1 country.

Jae Sung Lim *Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Korea. jaesunglim@hallym.ac.kr.ORCID https://orcid.org/0000-0001-6157-2908
Jae Joong Lee *Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea.ORCID https://orcid.org/0000-0002-7353-8683
Choong Wan WooDepartment of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea.ORCID https://orcid.org/0000-0002-7423-5422
Jooyeon SongDepartment of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Korea.ORCID https://orcid.org/0000-0003-2640-2107
Mi Sun OhDepartment of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Korea.ORCID https://orcid.org/0000-0002-6741-0464
Kyung Ho YuDepartment of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Korea.ORCID https://orcid.org/0000-0002-8997-5626
Byung Chul LeeDepartment of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Korea.ORCID https://orcid.org/0000-0002-3885-981X
Hallym University · KRInstitute for Basic Science · KR

Funding

Hallym University HURF-2017-03National Research Foundation of Korea 2017R1C1B5018132National Research Foundation of Korea 2019R1C1C1004512
6 · The paper itself

Abstract

background and purposeSimilar-sized stroke lesions at similar locations can have different prognoses in clinical practice. Lesion-network mapping elucidates network-level effects of lesions that cause specific neurologic symptoms and signs, and also provides a group-level understanding. This study visualized the effects of stroke lesions on the functional brain networks of individual patients.

methodsWe enrolled patients with ischemic stroke who were hospitalized within 1 week of the stroke occurrence. Resting-state functional magnetic resonance imaging was performed 3 months after the index stroke. For image preprocessing, acute stroke lesions were visually delineated based on diffusion-weighted images obtained at admission, and the lesion mask was drawn using MRIcron software. Correlation matrices were calculated from 280 brain regions using the Brainnetome Atlas, and connectograms were visualized using in-house MATLAB code.

resultsWe found characteristic differences in connectograms between pairs of patients who had comparable splenial, frontal cortical, cerebellar, and thalamocapsular lesions. Two representative patients with bilateral thalamic infarctions showed significant differences in their reconstructed connectograms. The cognitive function had recovered well at 3 months after stroke occurrence in patients with well-maintained interhemispheric and intrahemispheric connectivities.

conclusionsThis pilot study has visualized the effects of stroke lesions on the functional brain networks of individual patients. Consideration of the neurobiologic mechanisms underlying the differences between their connectograms has yielded new hypotheses about differences in the effects of stroke lesions.

Indexed as

cerebral infarctionconnectomefunctional neuroimagingmagnetic resonance imaging

Identifiers

PMID31942767
PMCPMC6974837
OpenAlexW3000373522

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.