ArticlePloS one2020
Mapping language function with task-based vs. resting-state functional MRI.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Resting-State vs. Task-Based Functional Magnetic Resonance Imaging in Neurosurgical Planning: A Narrative Review of Clinical Applications.Biomedicines · 2026Review
- Leveraging Task FMRI Data to Extract Resting-State Metrics in Brain Tumor and Healthy Populations.Clinical neuroradiology · 2026Article
- Application of Electric-Field-Optimized Augmented Reality-Guided Neuronavigation in Transcranial Magnetic Stimulation.Journal of clinical medicine · 2026Article
- A Rapid fMRI Paradigm for Localisation of the Language Network.The European journal of neuroscience · 2026Article
- Brain function in language and associated networks in non- or minimally verbal children.Brain communications · 2026Article
- Advances in Preoperative and Intraoperative Technologies for Safe Resection of Gliomas in Cognitive Regions.Cancers · 2025Review
- Thalamic nuclei volume changes associated with cognitive and motor manifestations of Parkinson's disease.NPJ Parkinson's disease · 2025Article
- The role of spatial processing in verbal serial order working memory.Cognitive, affective & behavioral neuroscience · 2025Article
- Consensus recommendations for clinical functional MRI applied to language mapping.Aperture neuro · 2025Article
- The promise of precision functional mapping for neuroimaging in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights.BMC neurology · 2024Review
- Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning.Journal of neuro-oncology · 2024Article
- 7 T and beyond: toward a synergy between fMRI-based presurgical mapping at ultrahigh magnetic fields, AI, and robotic neurosurgery.European radiology experimental · 2024Review
- Optimal approaches to analyzing functional MRI data in glioma patients.Journal of neuroscience methods · 2024Article
- A Comprehensive Review on the Role of Resting-State Functional Magnetic Resonance Imaging in Predicting Post-Stroke Motor and Sensory Outcomes.Neurology international · 2024Review
- Personalized connectivity-based network targeting model of transcranial magnetic stimulation for treatment of psychiatric disorders: computational feasibility and reproducibility.Frontiers in psychiatry · 2024Article
- Systematic Review Between Resting-State fMRI and Task fMRI in Planning for Brain Tumour Surgery.Journal of multidisciplinary healthcare · 2024Review
- Design and methodology for a proof of mechanism study of individualized neuronavigated continuous Theta burst stimulation for auditory processing in adolescents with autism spectrum disorder.Frontiers in psychiatry · 2024Article
- Data-efficient resting-state functional magnetic resonance imaging brain mapping with deep learning.Journal of neurosurgery · 2023Article
- 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
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundUse of functional MRI (fMRI) in pre-surgical planning is a non-invasive method for pre-operative functional mapping for patients with brain tumors, especially tumors located near eloquent cortex. Currently, this practice predominantly involves task-based fMRI (T-fMRI). Resting state fMRI (RS-fMRI) offers an alternative with several methodological advantages. Here, we compare group-level analyses of RS-fMRI vs. T-fMRI as methods for language localization. PURPOSE: To contrast RS-fMRI vs. T-fMRI as techniques for localization of language function.
methodsWe analyzed data obtained in 35 patients who had both T-fMRI and RS-fMRI scans during the course of pre-surgical evaluation. The RS-fMRI data were analyzed using a previously trained resting-state network classifier. The T-fMRI data were analyzed using conventional techniques. Group-level results obtained by both methods were evaluated in terms of two outcome measures: (1) inter-subject variability of response magnitude and (2) sensitivity/specificity analysis of response topography, taking as ground truth previously reported maps of the language system based on intraoperative cortical mapping as well as meta-analytic maps of language task fMRI responses.
resultsBoth fMRI methods localized major components of the language system (areas of Broca and Wernicke) although not with equal inter-subject consistency. Word-stem completion T-fMRI strongly activated Broca's area but also several task-general areas not specific to language. RS-fMRI provided a more specific representation of the language system.
conclusionWe demonstrate several advantages of classifier-based mapping of language representation in the brain. Language T-fMRI activated task-general (i.e., not language-specific) functional systems in addition to areas of Broca and Wernicke. In contrast, classifier-based analysis of RS-fMRI data generated maps confined to language-specific regions of the brain.
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