ArticleFrontiers in human neuroscience2016
Resting-State Functional Magnetic Resonance Imaging for Language Preoperative Planning.
Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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.Brain imaging and behavior · 2022Pooled it
- Mapping without tasks: resting-state fMRI for motor and language localization in neuro-oncology.Neuroradiology · 2026Article
- Spatially constrained ICA from a language task enables sensorimotor network extraction in patients with space-occupying brain lesions.Brain imaging and behavior · 2026Article
- Sex Classification Based on the Functional Connectivity Patterns of the Language Network: A Resting State fMRI Study.Human brain mapping · 2026Article
- Probabilistic template matching for detecting resting-state functional MRI language network in brain tumor patients.Medical physics · 2025Article
- Article
- Resting-state functional connectivity changes following audio-tactile speech training.Frontiers in neuroscience · 2025Article
- Probabilistic Presurgical Language fMRI Atlas of Patients with Brain Tumors.AJNR. American journal of neuroradiology · 2024Article
- A comparison of fMRI presurgical mapping techniques with intraoperative brain mapping-based validation.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Evaluating the concordance of functional MRI-based language lateralization and Wada testing in epilepsy patients: A single-center analysis.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2023Article
- Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain.Communications biology · 2023Article
- Individual Differences in Emotion Attenuation Brought by Indirect Replies Is Related to Resting-State Brain Activity.Brain sciences · 2023Article
- Implementation of Automated Pipeline for Resting-State fMRI Analysis with PACS Integration.Journal of digital imaging · 2023Article
- Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities.Frontiers in human neuroscience · 2023Review
- Review
- Preoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging.Journal of personalized medicine · 2021Article
- Overt speech critically changes lateralization index and did not allow determination of hemispheric dominance for language: an fMRI study.BMC neuroscience · 2021Article
- Resting-State Functional MRI for Determining Language Lateralization in Children with Drug-Resistant Epilepsy.AJNR. American journal of neuroradiology · 2021Article
- Organizing Variables Affecting fMRI Estimates of Language Dominance in Patients with Brain Tumors.Brain sciences · 2021Review
- Improved resting state functional connectivity sensitivity and reproducibility using a multiband multi-echo acquisition.NeuroImage · 2021Article
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7 authors.
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Abstract
Functional magnetic resonance imaging (fMRI) is a well-known non-invasive technique for the study of brain function. One of its most common clinical applications is preoperative language mapping, essential for the preservation of function in neurosurgical patients. Typically, fMRI is used to track task-related activity, but poor task performance and movement artifacts can be critical limitations in clinical settings. Recent advances in resting-state protocols open new possibilities for pre-surgical mapping of language potentially overcoming these limitations. To test the feasibility of using resting-state fMRI instead of conventional active task-based protocols, we compared results from fifteen patients with brain lesions while performing a verb-to-noun generation task and while at rest. Task-activity was measured using a general linear model analysis and independent component analysis (ICA). Resting-state networks were extracted using ICA and further classified in two ways: manually by an expert and by using an automated template matching procedure. The results revealed that the automated classification procedure correctly identified language networks as compared to the expert manual classification. We found a good overlay between task-related activity and resting-state language maps, particularly within the language regions of interest. Furthermore, resting-state language maps were as sensitive as task-related maps, and had higher specificity. Our findings suggest that resting-state protocols may be suitable to map language networks in a quick and clinically efficient way.
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