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A quantitative approach for measuring laterality in clinical fMRI for preoperative language mapping
PURPOSE: fMRI is increasingly used for presurgical language mapping, but lack of standard methodology has made it difficult to combine/compare data across institutions or determine the relative efficacy of different approaches. Here, we describe a quantitative analytic framework for determining lang...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376727/ https://www.ncbi.nlm.nih.gov/pubmed/33772347 http://dx.doi.org/10.1007/s00234-021-02685-z |
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author | Olaru, Maria Nillo, Ryan M. Mukherjee, Pratik Sugrue, Leo P. |
author_facet | Olaru, Maria Nillo, Ryan M. Mukherjee, Pratik Sugrue, Leo P. |
author_sort | Olaru, Maria |
collection | PubMed |
description | PURPOSE: fMRI is increasingly used for presurgical language mapping, but lack of standard methodology has made it difficult to combine/compare data across institutions or determine the relative efficacy of different approaches. Here, we describe a quantitative analytic framework for determining language laterality in clinical fMRI that addresses these concerns. METHODS: We retrospectively analyzed fMRI data from 59 patients who underwent presurgical language mapping at our institution with identical imaging and behavioral protocols. First, we compared the efficacy of different regional masks in capturing language activations. Then, we systematically explored how laterality indices (LIs) computed from these masks vary as a function of task and activation threshold. Finally, we determined the percentile threshold that maximized the correlation between the results of our LI approach and the laterality assessments from the original clinical radiology reports. RESULTS: First, we found that a regional mask derived from a meta-analysis of the fMRI literature better captured language task activations than masks based on anatomically defined language areas. Then, we showed that an LI approach based on this functional mask and percentile thresholding of subject activation can quantify the relative ability of different language tasks to lateralize language function at the population level. Finally, we determined that the 92nd percentile of subject-level activation provides the optimal LI threshold with which to reproduce the original clinical reports. CONCLUSION: A quantitative framework for determining language laterality that uses a functionally-derived language mask and percentile thresholding of subject activation can combine/compare results across tasks and patients and reproduce clinical assessments of language laterality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00234-021-02685-z. |
format | Online Article Text |
id | pubmed-8376727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-83767272021-09-02 A quantitative approach for measuring laterality in clinical fMRI for preoperative language mapping Olaru, Maria Nillo, Ryan M. Mukherjee, Pratik Sugrue, Leo P. Neuroradiology Functional Neuroradiology PURPOSE: fMRI is increasingly used for presurgical language mapping, but lack of standard methodology has made it difficult to combine/compare data across institutions or determine the relative efficacy of different approaches. Here, we describe a quantitative analytic framework for determining language laterality in clinical fMRI that addresses these concerns. METHODS: We retrospectively analyzed fMRI data from 59 patients who underwent presurgical language mapping at our institution with identical imaging and behavioral protocols. First, we compared the efficacy of different regional masks in capturing language activations. Then, we systematically explored how laterality indices (LIs) computed from these masks vary as a function of task and activation threshold. Finally, we determined the percentile threshold that maximized the correlation between the results of our LI approach and the laterality assessments from the original clinical radiology reports. RESULTS: First, we found that a regional mask derived from a meta-analysis of the fMRI literature better captured language task activations than masks based on anatomically defined language areas. Then, we showed that an LI approach based on this functional mask and percentile thresholding of subject activation can quantify the relative ability of different language tasks to lateralize language function at the population level. Finally, we determined that the 92nd percentile of subject-level activation provides the optimal LI threshold with which to reproduce the original clinical reports. CONCLUSION: A quantitative framework for determining language laterality that uses a functionally-derived language mask and percentile thresholding of subject activation can combine/compare results across tasks and patients and reproduce clinical assessments of language laterality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00234-021-02685-z. Springer Berlin Heidelberg 2021-03-26 2021 /pmc/articles/PMC8376727/ /pubmed/33772347 http://dx.doi.org/10.1007/s00234-021-02685-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Functional Neuroradiology Olaru, Maria Nillo, Ryan M. Mukherjee, Pratik Sugrue, Leo P. A quantitative approach for measuring laterality in clinical fMRI for preoperative language mapping |
title | A quantitative approach for measuring laterality in clinical fMRI for preoperative language mapping |
title_full | A quantitative approach for measuring laterality in clinical fMRI for preoperative language mapping |
title_fullStr | A quantitative approach for measuring laterality in clinical fMRI for preoperative language mapping |
title_full_unstemmed | A quantitative approach for measuring laterality in clinical fMRI for preoperative language mapping |
title_short | A quantitative approach for measuring laterality in clinical fMRI for preoperative language mapping |
title_sort | quantitative approach for measuring laterality in clinical fmri for preoperative language mapping |
topic | Functional Neuroradiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376727/ https://www.ncbi.nlm.nih.gov/pubmed/33772347 http://dx.doi.org/10.1007/s00234-021-02685-z |
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