ArticleHuman brain mapping2015
Resting-state functional connectivity predicts the strength of hemispheric lateralization for language processing in temporal lobe epilepsy and normals.
Article in Human brain mapping, 2015. 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, 63 citations in OpenAlex.
- Individual-specific resting-state networks predict language dominance in drug-resistant epilepsy.Epilepsia · 2026Article
- Stronger right-hemispheric involvement in language processing is associated with greater functional connectivity between the left-lateralized language-related network and the cingulo-opercular network.Brain structure & function · 2026Article
- Noninvasive imaging techniques to map language areas using BOLD signal fluctuations in pediatric epilepsy: a review.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026Review
- Individual-specific resting-state networks predict language dominance in drug-resistant epilepsy.medRxiv : the preprint server for health sciences · 2025Article
- Exploring the Relationship Between White Matter Tracts and Resting-State Functional Language Lateralization Index.Neurobiology of language (Cambridge, Mass.) · 2025Article
- When Age Tips the Balance: a Dual Mechanism Affecting Hemispheric Specialization for Language.bioRxiv : the preprint server for biology · 2023Article
- Diffusion magnetic resonance imaging connectome features are predictive of functional lateralization of semantic processing in the anterior temporal lobes.Human brain mapping · 2023Article
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- Clinical applications of neurolinguistics in neurosurgery.Frontiers of medicine · 2021Review
- Correlation of language lateralization with resting state hippocampal connectivity in temporal lobe epilepsy patientsTurkish journal of medical sciences · 2020Article
- Language lateralization from task-based and resting state functional MRI in patients with epilepsy.Human brain mapping · 2020Article
- Lesion-Specific Language Network Alterations in Temporal Lobe Epilepsy.AJNR. American journal of neuroradiology · 2020Article
- Mapping language networks and their association with verbal abilities in paediatric epilepsy using MEG and graph analysis.NeuroImage. Clinical · 2020Article
- Determination of Differences in Seed-Based Resting State Functional Magnetic Resonance Imaging Language Networks in Pediatric Patients with Left- and Right-Lateralized Language: A Pilot Study.Journal of epilepsy research · 2019Article
- Resting fMRI as an alternative for task-based fMRI for language lateralization in temporal lobe epilepsy patients: a study using independent component analysis.Neuroradiology · 2019Article
- Neuroimaging correlates of language network impairment and reorganization in temporal lobe epilepsy.Brain and language · 2019Review
- A SENtence Supramodal Areas AtlaS (SENSAAS) based on multiple task-induced activation mapping and graph analysis of intrinsic connectivity in 144 healthy right-handers.Brain structure & function · 2019Article
- Resting-State Functional Connectivity of the Middle Frontal Gyrus Can Predict Language Lateralization in Patients with Brain Tumors.AJNR. American journal of neuroradiology · 2019Article
- Language network measures at rest indicate individual differences in naming decline after anterior temporal lobe resection.Human brain mapping · 2018Article
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Authors and funding
6 authors at 1 institution in 1 country.
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Abstract
In temporal lobe epilepsy (TLE), determining the hemispheric specialization for language before surgery is critical to preserving a patient's cognitive abilities post-surgery. To date, the major techniques utilized are limited by the capacity of patients to efficiently realize the task. We determined whether resting-state functional connectivity (rsFC) is a reliable predictor of language hemispheric dominance in right and left TLE patients, relative to controls. We chose three subregions of the inferior frontal cortex (pars orbitalis, pars triangularis, and pars opercularis) as the seed regions. All participants performed both a verb generation task and a resting-state fMRI procedure. Based on the language task, we computed a laterality index (LI) for the resulting network. This revealed that 96% of the participants were left-hemisphere dominant, although there remained a large degree of variability in the strength of left lateralization. We tested whether LI correlated with rsFC values emerging from each seed. We revealed a set of regions that was specific to each group. Unique correlations involving the epileptic mesial temporal lobe were revealed for the right and left TLE patients, but not for the controls. Importantly, for both TLE groups, the rsFC emerging from a contralateral seed was the most predictive of LI. Overall, our data depict the broad patterns of rsFC that support strong versus weak left hemisphere language laterality. This project provides the first evidence that rsFC data may potentially be used on its own to verify the strength of hemispheric dominance for language in impaired or pathologic populations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.