Localizing and Lateralizing Language in Patients with Brain Tumors: Feasibility of Routine Preoperative Functional MR Imaging in 81 Consecutive Patients<sup>1</sup>

Stippich, Christoph; Rapps, Nora; Dreyhaupt, Jens; Durst, Anita; Kress, Bodo; Nennig, Ernst; Tronnier, V.; Sartor, Klaus

doi:10.1148/radiol.2433060068

Cited by 118 publications

(89 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Information from language task fMRI can be used to non-invasively lateralize (Binder et al, 1996;Woermann et al, 2003) and localize (Carpentier et al, 2001;Brannen et al, 2001) language regions in the brain. Language fMRI is also applied to define spatial relationships between brain lesions and language areas for pre-surgical mapping (Stippich et al, 2007). The sensitivity and specificity of language fMRI are major concerns in generating language maps for clinical use (Tharin and Golby, 2007).…”

Section: Introductionmentioning

confidence: 99%

Group independent component analysis of language fMRI from word generation tasks

et al. 2008

View full text Add to dashboard Cite

Language fMRI has been used to study brain regions involved in language processing and has been applied to pre-surgical language mapping. However, in order to provide clinicians with optimal information, the sensitivity and specificity of language fMRI needs to be improved. Type II error of failing to reach statistical significance when the language activations are genuinely present may be particularly relevant to pre-surgical planning, by falsely indicating low surgical risk in areas where no activations are shown. Furthermore, since the execution of language paradigms involves cognitive processes other than language function per se, the conventional general linear model (GLM) method may identify non-language-specific activations. In this study, we assessed an exploratory approach, independent component analysis (ICA), as a potential complementary method to the inferential GLM method in language mapping applications. We specifically investigated whether this approach might reduce type II error as well as generate more language-specific maps. Fourteen right-handed healthy subjects were studied with fMRI during two word generation tasks. A similarity analysis across tasks was proposed to select components of interest. Union analysis was performed on the languagespecific components to increase sensitivity, and conjunction analysis was performed to identify language areas more likely to be essential. Compared with GLM, ICA identified more activated voxels in the putative language areas, and signals from other sources were isolated into different components. Encouraging results from one brain tumor patient are also presented. ICA may be used as a complementary tool to GLM in improving pre-surgical language mapping.

show abstract

Section: Introductionmentioning

confidence: 99%

Group independent component analysis of language fMRI from word generation tasks

et al. 2008

View full text Add to dashboard Cite

show abstract

“…49 Another patient study even reported 100% sensitivity for both Broca and Wernicke regions. 50 However, all these results were achieved with rather low statistical thresholds.…”

Section: Percentage Of Subjects Activating Normally Expected Languagementioning

confidence: 99%

Improvement of Clinical Language Localization with an Overt Semantic and Syntactic Language Functional MR Imaging Paradigm

Gartus

Foki²,

Geißler³

et al. 2009

AJNR Am J Neuroradiol

View full text Add to dashboard Cite

BACKGROUND AND PURPOSE:Functional MR imaging (fMRI) is a promising but, in some aspects, still debated noninvasive tool for functional language mapping. We developed a clinical fMRI overt language design at the sentential level to optimize sensitivity for language-related areas of the brain. To evaluate applicability and sensitivity, we investigated a consecutive series of presurgical patients with epilepsy with minimal morphologic brain abnormalities.

show abstract

“…Brain tumors, growing in a rigid structure, cause a buildup of intracranial pressure, altering the normal hemodynamic process of hemoglobin oxygenation in surrounding veins. 30,31 Brain tumors may influence BOLD effect by releasing vasoactive substances and/or neurotransmitters. 32 Disease-induced pathology and/or medications may alter psychological factors such as cognition and attention; this change compromises normal execution of tasks and subsequently renders rigid data analysis ineffective.…”

Section: 27mentioning

confidence: 99%

Comparison of Hypothesis- and a Novel Hybrid Data/Hypothesis-Driven Method of Functional MR Imaging Analysis in Patients with Brain Gliomas

Caulo¹,

Esposito²,

Mantini³

et al. 2011

AJNR Am J Neuroradiol

View full text Add to dashboard Cite

BACKGROUND AND PURPOSE:An alternative technique, which is less influenced by tumor-and patient-related factors, is required to overcome the limits of GLM analysis of fMRI data in patients. The aim of this study was to statistically assess differences in the identification of language regions and hemispheric lateralization of language function between controls and patients as estimated by both the GLM and a novel combined ICA-GLM procedure.

show abstract

Localizing and Lateralizing Language in Patients with Brain Tumors: Feasibility of Routine Preoperative Functional MR Imaging in 81 Consecutive Patients¹

Abstract: Functional MR imaging proved to be feasible during routine diagnostic neuroimaging for localizing and lateralizing language function preoperatively.

Cited by 118 publications

References 26 publications

Group independent component analysis of language fMRI from word generation tasks

Group independent component analysis of language fMRI from word generation tasks

Improvement of Clinical Language Localization with an Overt Semantic and Syntactic Language Functional MR Imaging Paradigm

Comparison of Hypothesis- and a Novel Hybrid Data/Hypothesis-Driven Method of Functional MR Imaging Analysis in Patients with Brain Gliomas

Contact Info

Product

Resources

About

Localizing and Lateralizing Language in Patients with Brain Tumors: Feasibility of Routine Preoperative Functional MR Imaging in 81 Consecutive Patients1

Abstract: Functional MR imaging proved to be feasible during routine diagnostic neuroimaging for localizing and lateralizing language function preoperatively.

Cited by 118 publications

References 26 publications

Group independent component analysis of language fMRI from word generation tasks

Group independent component analysis of language fMRI from word generation tasks

Improvement of Clinical Language Localization with an Overt Semantic and Syntactic Language Functional MR Imaging Paradigm

Comparison of Hypothesis- and a Novel Hybrid Data/Hypothesis-Driven Method of Functional MR Imaging Analysis in Patients with Brain Gliomas

Contact Info

Product

Resources

About

Localizing and Lateralizing Language in Patients with Brain Tumors: Feasibility of Routine Preoperative Functional MR Imaging in 81 Consecutive Patients¹