A Data-Based Approach for Selecting Pre- and Intra-Operative Language Mapping Tasks

Background: Pre- and intra-operative language mapping in neurosurgery patients frequently involves an object naming task. The choice of the optimal object naming paradigm remains challenging due to lack of normative data and standardization in mapping practices. The aim of this study was to identify...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Justyna O. Ekert, Matthew A. Kirkman, Mohamed L. Seghier, David W. Green, Cathy J. Price
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	neurosurgery fMRI brain mapping direct electrical stimulation (DES) language object naming Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/d27b843d9685455b96f600aaa42db4e8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d27b843d9685455b96f600aaa42db4e8
record_format	dspace
spelling	oai:doaj.org-article:d27b843d9685455b96f600aaa42db4e82021-12-01T02:20:29ZA Data-Based Approach for Selecting Pre- and Intra-Operative Language Mapping Tasks1662-453X10.3389/fnins.2021.743402https://doaj.org/article/d27b843d9685455b96f600aaa42db4e82021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnins.2021.743402/fullhttps://doaj.org/toc/1662-453XBackground: Pre- and intra-operative language mapping in neurosurgery patients frequently involves an object naming task. The choice of the optimal object naming paradigm remains challenging due to lack of normative data and standardization in mapping practices. The aim of this study was to identify object naming paradigms that robustly and consistently activate classical language regions and could therefore be used to improve the sensitivity of language mapping in brain tumor and epilepsy patients.Methods: Functional magnetic resonance imaging (fMRI) data from two independent groups of healthy controls (total = 79) were used to generate threshold-weighted voxel-based consistency maps. This novel approach allowed us to compare inter-subject consistency of activation for naming single objects in the visual and auditory modality and naming two objects in a phrase or a sentence.Results: We found that the consistency of activation in language regions was greater for naming two objects per picture than one object per picture, even when controlling for the number of names produced in 5 s.Conclusion: More consistent activation in language areas for naming two objects compared to one object suggests that two-object naming tasks may be more suitable for delimiting language eloquent regions with pre- and intra-operative language testing. More broadly, we propose that the functional specificity of brain mapping paradigms for a whole range of different linguistic and non-linguistic functions could be enhanced by referring to databased models of inter-subject consistency and variability in typical and atypical brain responses.Justyna O. EkertMatthew A. KirkmanMohamed L. SeghierMohamed L. SeghierDavid W. GreenCathy J. PriceFrontiers Media S.A.articleneurosurgeryfMRIbrain mappingdirect electrical stimulation (DES)languageobject namingNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Neuroscience, Vol 15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	neurosurgery fMRI brain mapping direct electrical stimulation (DES) language object naming Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	neurosurgery fMRI brain mapping direct electrical stimulation (DES) language object naming Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Justyna O. Ekert Matthew A. Kirkman Mohamed L. Seghier Mohamed L. Seghier David W. Green Cathy J. Price A Data-Based Approach for Selecting Pre- and Intra-Operative Language Mapping Tasks
description	Background: Pre- and intra-operative language mapping in neurosurgery patients frequently involves an object naming task. The choice of the optimal object naming paradigm remains challenging due to lack of normative data and standardization in mapping practices. The aim of this study was to identify object naming paradigms that robustly and consistently activate classical language regions and could therefore be used to improve the sensitivity of language mapping in brain tumor and epilepsy patients.Methods: Functional magnetic resonance imaging (fMRI) data from two independent groups of healthy controls (total = 79) were used to generate threshold-weighted voxel-based consistency maps. This novel approach allowed us to compare inter-subject consistency of activation for naming single objects in the visual and auditory modality and naming two objects in a phrase or a sentence.Results: We found that the consistency of activation in language regions was greater for naming two objects per picture than one object per picture, even when controlling for the number of names produced in 5 s.Conclusion: More consistent activation in language areas for naming two objects compared to one object suggests that two-object naming tasks may be more suitable for delimiting language eloquent regions with pre- and intra-operative language testing. More broadly, we propose that the functional specificity of brain mapping paradigms for a whole range of different linguistic and non-linguistic functions could be enhanced by referring to databased models of inter-subject consistency and variability in typical and atypical brain responses.
format	article
author	Justyna O. Ekert Matthew A. Kirkman Mohamed L. Seghier Mohamed L. Seghier David W. Green Cathy J. Price
author_facet	Justyna O. Ekert Matthew A. Kirkman Mohamed L. Seghier Mohamed L. Seghier David W. Green Cathy J. Price
author_sort	Justyna O. Ekert
title	A Data-Based Approach for Selecting Pre- and Intra-Operative Language Mapping Tasks
title_short	A Data-Based Approach for Selecting Pre- and Intra-Operative Language Mapping Tasks
title_full	A Data-Based Approach for Selecting Pre- and Intra-Operative Language Mapping Tasks
title_fullStr	A Data-Based Approach for Selecting Pre- and Intra-Operative Language Mapping Tasks
title_full_unstemmed	A Data-Based Approach for Selecting Pre- and Intra-Operative Language Mapping Tasks
title_sort	data-based approach for selecting pre- and intra-operative language mapping tasks
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/d27b843d9685455b96f600aaa42db4e8
work_keys_str_mv	AT justynaoekert adatabasedapproachforselectingpreandintraoperativelanguagemappingtasks AT matthewakirkman adatabasedapproachforselectingpreandintraoperativelanguagemappingtasks AT mohamedlseghier adatabasedapproachforselectingpreandintraoperativelanguagemappingtasks AT mohamedlseghier adatabasedapproachforselectingpreandintraoperativelanguagemappingtasks AT davidwgreen adatabasedapproachforselectingpreandintraoperativelanguagemappingtasks AT cathyjprice adatabasedapproachforselectingpreandintraoperativelanguagemappingtasks AT justynaoekert databasedapproachforselectingpreandintraoperativelanguagemappingtasks AT matthewakirkman databasedapproachforselectingpreandintraoperativelanguagemappingtasks AT mohamedlseghier databasedapproachforselectingpreandintraoperativelanguagemappingtasks AT mohamedlseghier databasedapproachforselectingpreandintraoperativelanguagemappingtasks AT davidwgreen databasedapproachforselectingpreandintraoperativelanguagemappingtasks AT cathyjprice databasedapproachforselectingpreandintraoperativelanguagemappingtasks
_version_	1718405929176662016

A Data-Based Approach for Selecting Pre- and Intra-Operative Language Mapping Tasks

Ejemplares similares