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Individual-Level Lesion-Network Mapping to Visualize the Effects of a Stroke Lesion on the Brain Network: Connectograms in Stroke Syndromes
BACKGROUND AND PURPOSE: Similar-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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Neurological Association
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6974837/ https://www.ncbi.nlm.nih.gov/pubmed/31942767 http://dx.doi.org/10.3988/jcn.2020.16.1.116 |
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author | Lim, Jae-Sung Lee, Jae-Joong Woo, Choong-Wan Song, Jooyeon Oh, Mi-Sun Yu, Kyung-Ho Lee, Byung-Chul |
author_facet | Lim, Jae-Sung Lee, Jae-Joong Woo, Choong-Wan Song, Jooyeon Oh, Mi-Sun Yu, Kyung-Ho Lee, Byung-Chul |
author_sort | Lim, Jae-Sung |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Similar-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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: This 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. |
format | Online Article Text |
id | pubmed-6974837 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Korean Neurological Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-69748372020-02-04 Individual-Level Lesion-Network Mapping to Visualize the Effects of a Stroke Lesion on the Brain Network: Connectograms in Stroke Syndromes Lim, Jae-Sung Lee, Jae-Joong Woo, Choong-Wan Song, Jooyeon Oh, Mi-Sun Yu, Kyung-Ho Lee, Byung-Chul J Clin Neurol Original Article BACKGROUND AND PURPOSE: Similar-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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: This 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. Korean Neurological Association 2020-01 2019-12-30 /pmc/articles/PMC6974837/ /pubmed/31942767 http://dx.doi.org/10.3988/jcn.2020.16.1.116 Text en Copyright © 2020 Korean Neurological Association http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Lim, Jae-Sung Lee, Jae-Joong Woo, Choong-Wan Song, Jooyeon Oh, Mi-Sun Yu, Kyung-Ho Lee, Byung-Chul Individual-Level Lesion-Network Mapping to Visualize the Effects of a Stroke Lesion on the Brain Network: Connectograms in Stroke Syndromes |
title | Individual-Level Lesion-Network Mapping to Visualize the Effects of a Stroke Lesion on the Brain Network: Connectograms in Stroke Syndromes |
title_full | Individual-Level Lesion-Network Mapping to Visualize the Effects of a Stroke Lesion on the Brain Network: Connectograms in Stroke Syndromes |
title_fullStr | Individual-Level Lesion-Network Mapping to Visualize the Effects of a Stroke Lesion on the Brain Network: Connectograms in Stroke Syndromes |
title_full_unstemmed | Individual-Level Lesion-Network Mapping to Visualize the Effects of a Stroke Lesion on the Brain Network: Connectograms in Stroke Syndromes |
title_short | Individual-Level Lesion-Network Mapping to Visualize the Effects of a Stroke Lesion on the Brain Network: Connectograms in Stroke Syndromes |
title_sort | individual-level lesion-network mapping to visualize the effects of a stroke lesion on the brain network: connectograms in stroke syndromes |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6974837/ https://www.ncbi.nlm.nih.gov/pubmed/31942767 http://dx.doi.org/10.3988/jcn.2020.16.1.116 |
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