Literature DB >> 35908147

Comparison between inferior frontal gyrus intrinsic connectivity network and verb-generation task fMRI network for presurgical language mapping in healthy controls and in glioma patients.

Sara Cirillo1, Giovanni Battistella2, Antonella Castellano3,4, Francesco Sanvito5, Antonella Iadanza1, Michele Bailo5,6, Raffaella Lina Barzaghi6, Stefania Acerno6, Pietro Mortini5,6, Maria Luisa Gorno-Tempini2,7, Maria Luisa Mandelli2, Andrea Falini1,5.   

Abstract

Task-based functional MRI (tb-fMRI) represents an extremely valuable approach for the identification of language eloquent regions for presurgical mapping in patients with brain tumors. However, its routinely application is limited by patient-related factors, such as cognitive disability and difficulty in coping with long-time acquisitions, and by technical factors, such as lack of equipment availability for stimuli delivery. Resting-state fMRI (rs-fMRI) instead, allows the identification of distinct language networks in a 10-min acquisition without the need of performing active tasks and using specific equipment. Therefore, to test the feasibility of rs-fMRI as a preoperative mapping tool, we reconstructed a lexico-semantic intrinsic connectivity network (ICN) in healthy controls (HC) and in a case series of patients with gliomas and compared the organization of this language network with the one derived from tb-fMRI in the patient's group. We studied three patients with extra-frontal gliomas who underwent functional mapping with auditory verb-generation (AVG) task and rs-fMRI with a seed in the left inferior frontal gyrus (IFG). First, we identified the functional connected areas to the IFG in HC. We qualitatively compared these areas with those that showed functional activation in AVG task derived from Neurosynth meta-analysis. Last, in each patient we performed single-subject analyses both for rs- and tb-fMRI, and we evaluated the spatial overlap between the two approaches. In HC, the IFG-ICN network showed a predominant left fronto-temporal functional connectivity in regions overlapping with the AVG network derived from a meta-analysis. In two patients, rs- and tb-fMRI showed comparable patterns of activation in left fronto-temporal regions, with different levels of contralateral activations. The third patient could not accomplish the AVG task and thus it was not possible to make any comparison with the ICN. However, in this patient, task-free approach disclosed a consistent network of fronto-temporal regions as in HC, and additional parietal regions. Our preliminary findings support the value of rs-fMRI approach for presurgical mapping, particularly for identifying left fronto-temporal core language-related areas in glioma patients. In a preoperative setting, rs-fMRI approach could represent a powerful tool for the identification of eloquent language areas, especially in patients with language or cognitive impairments.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Glioma; Language; Resting-state fMRI; Seed-based functional connectivity; Task-based fMRI

Year:  2022        PMID: 35908147     DOI: 10.1007/s11682-022-00712-y

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.224


  48 in total

1.  Unified segmentation.

Authors:  John Ashburner; Karl J Friston
Journal:  Neuroimage       Date:  2005-04-01       Impact factor: 6.556

2.  A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.

Authors:  Yashar Behzadi; Khaled Restom; Joy Liau; Thomas T Liu
Journal:  Neuroimage       Date:  2007-05-03       Impact factor: 6.556

3.  Nouns and verbs in the brain: grammatical class and task specific effects as revealed by fMRI.

Authors:  Manuela Berlingeri; Davide Crepaldi; Rossella Roberti; Giuseppe Scialfa; Claudio Luzzatti; Eraldo Paulesu
Journal:  Cogn Neuropsychol       Date:  2008-06       Impact factor: 2.468

4.  Females and males are highly similar in language performance and cortical activation patterns during verb generation.

Authors:  Jane B Allendorfer; Christopher J Lindsell; Miriam Siegel; Christi L Banks; Jennifer Vannest; Scott K Holland; Jerzy P Szaflarski
Journal:  Cortex       Date:  2011-05-26       Impact factor: 4.027

5.  Limitations of functional neuroimaging for patient selection and surgical planning in glioma surgery.

Authors:  Tej D Azad; Hugues Duffau
Journal:  Neurosurg Focus       Date:  2020-02-01       Impact factor: 4.047

6.  Disentangling subgroups of participants recruiting shared as well as different brain regions for the execution of the verb generation task: A data-driven fMRI study.

Authors:  Leonardo Cerliani; Rajat M Thomas; Domenico Aquino; Valeria Contarino; Alberto Bizzi
Journal:  Cortex       Date:  2016-12-07       Impact factor: 4.027

Review 7.  Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies.

Authors:  Jeffrey R Binder; Rutvik H Desai; William W Graves; Lisa L Conant
Journal:  Cereb Cortex       Date:  2009-03-27       Impact factor: 5.357

8.  Relation between brain activation and lexical performance.

Authors:  James R Booth; Douglas D Burman; Joel R Meyer; Darren R Gitelman; Todd B Parrish; M Marsel Mesulam
Journal:  Hum Brain Mapp       Date:  2003-07       Impact factor: 5.038

9.  Resting-State Functional Magnetic Resonance Imaging for Language Preoperative Planning.

Authors:  Paulo Branco; Daniela Seixas; Sabine Deprez; Silvia Kovacs; Ronald Peeters; São L Castro; Stefan Sunaert
Journal:  Front Hum Neurosci       Date:  2016-02-01       Impact factor: 3.169

10.  Pre-operative language ability in patients with presumed low-grade glioma.

Authors:  Malin Antonsson; Francesca Longoni; Asgeir Jakola; Magnus Tisell; Magnus Thordstein; Lena Hartelius
Journal:  J Neurooncol       Date:  2017-12-01       Impact factor: 4.130

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