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fMRI-Targeted High-Angular Resolution Diffusion MR Tractography to Identify Functional Language Tracts in Healthy Controls and Glioma Patients
BACKGROUND: MR Tractography enables non-invasive preoperative depiction of language subcortical tracts, which is crucial for the presurgical work-up of brain tumors; however, it cannot evaluate the exact function of the fibers. PURPOSE: A systematic pipeline was developed to combine tractography rec...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136614/ https://www.ncbi.nlm.nih.gov/pubmed/32296301 http://dx.doi.org/10.3389/fnins.2020.00225 |
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author | Sanvito, Francesco Caverzasi, Eduardo Riva, Marco Jordan, Kesshi M. Blasi, Valeria Scifo, Paola Iadanza, Antonella Crespi, Sofia Allegra Cirillo, Sara Casarotti, Alessandra Leonetti, Antonella Puglisi, Guglielmo Grimaldi, Marco Bello, Lorenzo Gorno-Tempini, Maria Luisa Henry, Roland G. Falini, Andrea Castellano, Antonella |
author_facet | Sanvito, Francesco Caverzasi, Eduardo Riva, Marco Jordan, Kesshi M. Blasi, Valeria Scifo, Paola Iadanza, Antonella Crespi, Sofia Allegra Cirillo, Sara Casarotti, Alessandra Leonetti, Antonella Puglisi, Guglielmo Grimaldi, Marco Bello, Lorenzo Gorno-Tempini, Maria Luisa Henry, Roland G. Falini, Andrea Castellano, Antonella |
author_sort | Sanvito, Francesco |
collection | PubMed |
description | BACKGROUND: MR Tractography enables non-invasive preoperative depiction of language subcortical tracts, which is crucial for the presurgical work-up of brain tumors; however, it cannot evaluate the exact function of the fibers. PURPOSE: A systematic pipeline was developed to combine tractography reconstruction of language fiber bundles, based on anatomical landmarks (Anatomical-T), with language fMRI cortical activations. A fMRI-targeted Tractography (fMRI-T) was thus obtained, depicting the subsets of the anatomical tracts whose endpoints are located inside a fMRI activation. We hypothesized that fMRI-T could provide additional functional information regarding the subcortical structures, better reflecting the eloquent white matter structures identified intraoperatively. METHODS: Both Anatomical-T and fMRI-T of language fiber tracts were performed on 16 controls and preoperatively on 16 patients with left-hemisphere brain tumors, using a q-ball residual bootstrap algorithm based on High Angular Resolution Diffusion Imaging (HARDI) datasets (b = 3000 s/mm(2); 60 directions); fMRI ROIs were obtained using picture naming, verbal fluency, and auditory verb generation tasks. In healthy controls, normalized MNI atlases of fMRI-T and Anatomical-T were obtained. In patients, the surgical resection of the tumor was pursued by identifying eloquent structures with intraoperative direct electrical stimulation mapping and extending surgery to the functional boundaries. Post-surgical MRI allowed to identify Anatomical-T and fMRI-T non-eloquent portions removed during the procedure. RESULTS: MNI Atlases showed that fMRI-T is a subset of Anatomical-T, and that different task-specific fMRI-T involve both shared subsets and task-specific subsets – e.g., verbal fluency fMRI-T strongly involves dorsal frontal tracts, consistently with the phonogical-articulatory features of this task. A quantitative analysis in patients revealed that Anatomical-T removed portions of AF-SLF and IFOF were significantly greater than verbal fluency fMRI-T ones, suggesting that fMRI-T is a more specific approach. In addition, qualitative analyses showed that fMRI-T AF-SLF and IFOF predict the exact functional limits of resection with increased specificity when compared to Anatomical-T counterparts, especially the superior frontal portion of IFOF, in a subcohort of patients. CONCLUSION: These results suggest that performing fMRI-T in addition to the ‘classic’ Anatomical-T may be useful in a preoperative setting to identify the ‘high-risk subsets’ that should be spared during the surgical procedure. |
format | Online Article Text |
id | pubmed-7136614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71366142020-04-15 fMRI-Targeted High-Angular Resolution Diffusion MR Tractography to Identify Functional Language Tracts in Healthy Controls and Glioma Patients Sanvito, Francesco Caverzasi, Eduardo Riva, Marco Jordan, Kesshi M. Blasi, Valeria Scifo, Paola Iadanza, Antonella Crespi, Sofia Allegra Cirillo, Sara Casarotti, Alessandra Leonetti, Antonella Puglisi, Guglielmo Grimaldi, Marco Bello, Lorenzo Gorno-Tempini, Maria Luisa Henry, Roland G. Falini, Andrea Castellano, Antonella Front Neurosci Neuroscience BACKGROUND: MR Tractography enables non-invasive preoperative depiction of language subcortical tracts, which is crucial for the presurgical work-up of brain tumors; however, it cannot evaluate the exact function of the fibers. PURPOSE: A systematic pipeline was developed to combine tractography reconstruction of language fiber bundles, based on anatomical landmarks (Anatomical-T), with language fMRI cortical activations. A fMRI-targeted Tractography (fMRI-T) was thus obtained, depicting the subsets of the anatomical tracts whose endpoints are located inside a fMRI activation. We hypothesized that fMRI-T could provide additional functional information regarding the subcortical structures, better reflecting the eloquent white matter structures identified intraoperatively. METHODS: Both Anatomical-T and fMRI-T of language fiber tracts were performed on 16 controls and preoperatively on 16 patients with left-hemisphere brain tumors, using a q-ball residual bootstrap algorithm based on High Angular Resolution Diffusion Imaging (HARDI) datasets (b = 3000 s/mm(2); 60 directions); fMRI ROIs were obtained using picture naming, verbal fluency, and auditory verb generation tasks. In healthy controls, normalized MNI atlases of fMRI-T and Anatomical-T were obtained. In patients, the surgical resection of the tumor was pursued by identifying eloquent structures with intraoperative direct electrical stimulation mapping and extending surgery to the functional boundaries. Post-surgical MRI allowed to identify Anatomical-T and fMRI-T non-eloquent portions removed during the procedure. RESULTS: MNI Atlases showed that fMRI-T is a subset of Anatomical-T, and that different task-specific fMRI-T involve both shared subsets and task-specific subsets – e.g., verbal fluency fMRI-T strongly involves dorsal frontal tracts, consistently with the phonogical-articulatory features of this task. A quantitative analysis in patients revealed that Anatomical-T removed portions of AF-SLF and IFOF were significantly greater than verbal fluency fMRI-T ones, suggesting that fMRI-T is a more specific approach. In addition, qualitative analyses showed that fMRI-T AF-SLF and IFOF predict the exact functional limits of resection with increased specificity when compared to Anatomical-T counterparts, especially the superior frontal portion of IFOF, in a subcohort of patients. CONCLUSION: These results suggest that performing fMRI-T in addition to the ‘classic’ Anatomical-T may be useful in a preoperative setting to identify the ‘high-risk subsets’ that should be spared during the surgical procedure. Frontiers Media S.A. 2020-03-31 /pmc/articles/PMC7136614/ /pubmed/32296301 http://dx.doi.org/10.3389/fnins.2020.00225 Text en Copyright © 2020 Sanvito, Caverzasi, Riva, Jordan, Blasi, Scifo, Iadanza, Crespi, Cirillo, Casarotti, Leonetti, Puglisi, Grimaldi, Bello, Gorno-Tempini, Henry, Falini and Castellano. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Sanvito, Francesco Caverzasi, Eduardo Riva, Marco Jordan, Kesshi M. Blasi, Valeria Scifo, Paola Iadanza, Antonella Crespi, Sofia Allegra Cirillo, Sara Casarotti, Alessandra Leonetti, Antonella Puglisi, Guglielmo Grimaldi, Marco Bello, Lorenzo Gorno-Tempini, Maria Luisa Henry, Roland G. Falini, Andrea Castellano, Antonella fMRI-Targeted High-Angular Resolution Diffusion MR Tractography to Identify Functional Language Tracts in Healthy Controls and Glioma Patients |
title | fMRI-Targeted High-Angular Resolution Diffusion MR Tractography to Identify Functional Language Tracts in Healthy Controls and Glioma Patients |
title_full | fMRI-Targeted High-Angular Resolution Diffusion MR Tractography to Identify Functional Language Tracts in Healthy Controls and Glioma Patients |
title_fullStr | fMRI-Targeted High-Angular Resolution Diffusion MR Tractography to Identify Functional Language Tracts in Healthy Controls and Glioma Patients |
title_full_unstemmed | fMRI-Targeted High-Angular Resolution Diffusion MR Tractography to Identify Functional Language Tracts in Healthy Controls and Glioma Patients |
title_short | fMRI-Targeted High-Angular Resolution Diffusion MR Tractography to Identify Functional Language Tracts in Healthy Controls and Glioma Patients |
title_sort | fmri-targeted high-angular resolution diffusion mr tractography to identify functional language tracts in healthy controls and glioma patients |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136614/ https://www.ncbi.nlm.nih.gov/pubmed/32296301 http://dx.doi.org/10.3389/fnins.2020.00225 |
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