Presurgical brain mapping of the language network in patients with brain tumors using resting‐state f<scp>MRI</scp>: Comparison with task f<scp>MRI</scp>

Sair, Haris I.; Yahyavi-Firouz-Abadi, Noushin; Calhoun, Vince D.; Airan, Raag D.; Agarwal, Shruti; Intrapiromkul, Jarunee; Choe, Ann S.; Gujar, Sachin K.; Caffo, Brian; Lindquist, Martin A.; Pillai, Jay J.

doi:10.1002/hbm.23075

Cited by 106 publications

(95 citation statements)

References 53 publications

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“…Successful T-fMRI mapping requires patient cooperation and depends on modest radiological expertise in acquiring and processing the data. Resting state fMRI is an alternative method of brain mapping, with substantial and growing support in the literature 4–16 . Several publications have demonstrated how RS-fMRI has been able to help individual patients in situations where T-fMRI was not available 11,42,43 .…”

Section: Discussionmentioning

confidence: 99%

“…The numerical criteria they used are not directly comparable to the present JI . We considered metrics like those used in Rosazza et al 27 and Sair et al 16 , but ultimately chose to compare overlap of T-fMRI and RS-fMRI with a neutral anatomical ROI. Rosazza et al report that RS-fMRI can localize the SM successfully, with partial agreement with T-fMRI and also describe larger areas of correlated activity defined with the RS-fMRI data.…”

Section: Discussionmentioning

confidence: 99%

“…To compute the overlap with the anatomical SM parcellation, we adapted methods similar to Sair et al 16 , choosing the task threshold with the maximum JI overlap with the anatomical ROI. We first zeroed out all negative activations and included zero voxels when computing the percentile, then iterated task threshold from 1 to 100 percentile.…”

Section: Methodsmentioning

confidence: 99%

“…The associated topographies are known as resting state networks (RSNs). Advances in our understanding of resting state functional connectivity and improved data processing techniques have enabled clinical application of resting state fMRI (RS-fMRI) for purposes of presurgical planning 4–16 . RS-fMRI is efficient and robust.…”

Section: Introductionmentioning

confidence: 99%

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Resting-state Functional Magnetic Resonance Imaging in Presurgical Functional Mapping

Dierker

Roland

Kamran

et al. 2017

Neuroimaging Clinics of North America

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Synopsis The goal of this article is to compare resting state fMRI with task fMRI as a tool for presurgical functional mapping of the sensorimotor (SM) region. Prior to tumor resection, 38 patients were scanned using both methods. The SM area was anatomically defined using two different software tools. Overlap of anatomical regions of interest with task activation maps and resting state networks was measured in the SM region. A paired t-test showed higher overlap between resting state maps and anatomical references as compared to task activation when using a maximal overlap criterion. Resting state derived maps are more comprehensive than those derived from task fMRI.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Resting-state Functional Magnetic Resonance Imaging in Presurgical Functional Mapping

Dierker

Roland

Kamran

et al. 2017

Neuroimaging Clinics of North America

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“…With advances in technology, scanning times may be shortened and it is conceivable that a combination of complementary imaging methodologies could be used in the clinical setting and imaging sequences added to routine clinical scanning procedures to inform prognosis and treatment directions. Whilst this suggestion might appear overly optimistic or unrealistic, task-based fMRI investigations are currently being employed clinically for the purpose of language mapping in adults with brain tumours (Peck et al, 2009;Sair et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Neurophysiological Markers of Language Recovery in Subacute Stroke

Roxbury¹

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Most patients with aphasia recover language function to some degree, but there is significant variability in the speed, nature, and extent of language recovery that occurs in the months following a stroke. Currently, there is no effective method available to predict how an individual with aphasia will recover. The most accurate predictors of recovery to date rely on global outcome measures which do not provide relevant information regarding recovery of symptoms that are targeted in therapy. The overall goal of this thesis was to examine whether language-related brain activity predicted recovery of specific symptoms in aphasia. The first aim was to gain a clearer understanding of the neural mechanisms which underpin word processing in healthy individuals.Brain activity associated with spoken word processing was investigated firstly in a group of healthy young adults, then in a healthy older cohort in order to ascertain whether task performance was preserved in ageing and if so, whether a preserved performance was underpinned by age-related changes in the neural mechanisms. The second main aim was to investigate the neural substrates which underpin language processing in the subacute (2-6 weeks) and chronic (6 months) phases of aphasia recovery and to determine whether the timing and extent to which these mechanisms are recruited contributes to a good or poor language outcome. An auditory lexical decision task with a novel pseudoword condition was employed to investigate language recovery mechanisms and was selected to ensure that patients with aphasia in the subacute stage would be able to perform the task with sufficient accuracy. The real word stimuli consisted of concrete and abstract items. The stimuli were presented in an event-related fMRI task to young healthy controls, older healthy controls, and patients with aphasia during the subacute and chronic phases post-stroke. A range of behavioural language measures was administered to all three cohorts and at both time points for patients with aphasia.In the healthy young group, concrete words elicited increased activity in a widely distributed network of brain regions including bilateral angular gyrus (AG), left posterior cingulate and left dorsolateral prefrontal cortex, compared to abstract words. Meanwhile, no region showed increased activity for abstract compared to concrete words, rather differences were only observed in bilateral AG when abstract words were contrasted with pseudowords. In the healthy older group, region of interest (ROI) results identified that a preserved performance was associated with an altered pattern of left hemisphere activity in the inferior and middle frontal regions, the AG and the fusiform gyrus.Differences between the healthy older and healthy young group were identified in key language regions, with the left inferior frontal gyrus (IFG) showing increased activity for abstract and pseudowords compared to concrete words while increased activity in the left AG was observed in the younger group only.ii In patients with a...

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Resting‐state functional magnetic resonance imaging versus task‐based activity for language mapping and correlation with perioperative cortical mapping

et al. 2019

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Introduction Preoperative language mapping using functional magnetic resonance imaging (fMRI) aims to identify eloquent areas in the vicinity of surgically resectable brain lesions. fMRI methodology relies on the blood‐oxygen‐level‐dependent (BOLD) analysis to identify brain language areas. Task‐based fMRI studies the BOLD signal increase in brain areas during a language task to identify brain language areas, which requires patients' cooperation, whereas resting‐state fMRI (rsfMRI) allows identification of functional networks without performing any explicit task through the analysis of the synchronicity of spontaneous BOLD signal oscillation between brain areas. The aim of this study was to compare preoperative language mapping using rsfMRI and task fMRI to cortical mapping (CM) during awake craniotomies. Methods Fifty adult patients surgically treated for a brain lesion were enrolled. All patients had a presurgical language mapping with both task fMRI and rsfMRI. Identified language networks were compared to perioperative language mapping using electric cortical stimulation. Results Resting‐state fMRI was able to detect brain language areas during CM with a sensitivity of 100% compared to 65.6% with task fMRI. However, we were not able to perform a specificity analysis and compare task‐based and rest fMRI with our perioperative setting in the current study. In second‐order analysis, task fMRI imaging included main nodes of the SN and main areas involved in semantics were identified in rsfMRI. Conclusion Resting‐state fMRI for presurgical language mapping is easy to implement, allowing the identification of functional brain language network with a greater sensitivity than task‐based fMRI, at the cost of some precautions and a lower specificity. Further study is required to compare both the sensitivity and the specificity of the two methods and to evaluate the clinical value of rsfMRI as an alternative tool for the presurgical identification of brain language areas.

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Presurgical brain mapping of the language network in patients with brain tumors using resting‐state fMRI: Comparison with task fMRI

Abstract: Overall there is moderate group level rs-vs-task fMRI language network concordance, however substantial subject-level variability exists; iRMS may be used to determine reliability of rs-fMRI derived language networks.

Cited by 106 publications

References 53 publications

Resting-state Functional Magnetic Resonance Imaging in Presurgical Functional Mapping

Resting-state Functional Magnetic Resonance Imaging in Presurgical Functional Mapping

Neurophysiological Markers of Language Recovery in Subacute Stroke

Resting‐state functional magnetic resonance imaging versus task‐based activity for language mapping and correlation with perioperative cortical mapping

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