Feasibility, Contrast Sensitivity and Network Specificity of Language fMRI in Presurgical Evaluation for Epilepsy and Brain Tumor Surgery

Kokkinos, Vasileios; Selviaridis, Panagiotis; Seimenis, Ioannis

doi:10.1007/s10548-021-00839-z

Cited by 5 publications

(18 citation statements)

References 102 publications

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“…Details regarding the design of all language fMRI tasks used in this study and their respective screening procedures can be found in our prior work. 68 The language fMRI tasks below showed high feasibility in our patient cohort. In addition, they demonstrated specificity in terms of lateralizing either expressive or receptive language-related areas.…”

Section: Language Fmri Tasksmentioning

confidence: 80%

“…In addition, all selected patients successfully performed three language fMRI tasks in the same scanning session: (1) a semantic description (SD) task that maps sentence formation, (2) a reading comprehension (RC) task that maps reading-related regions, and (3) a listening comprehension (LC) task that maps speech reception language skills. 68 All patients who were ultimately included in this study had successfully passed the screening process for all memory and language fMRI tasks mentioned above. Care was taken so that words presented during the word memory tasks did not match any of the words presented during the SD task.…”

Section: Fmri Tasksmentioning

confidence: 99%

“…This task demonstrated high specificity for mapping expressive language areas in our patient cohort. 68…”

Section: Sd Taskmentioning

confidence: 99%

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Concordance of verbal memory and language fMRI lateralization in people with epilepsy

Kokkinos,

Seimenis

2023

Journal of Neuroimaging

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Background and PurposeThis work investigates verbal memory functional MRI (fMRI) versus language fMRI in terms of lateralization, and assesses the validity of performing word recognition during the functional scan.MethodsThirty patients with a diagnosis of epilepsy underwent verbal memory, visuospatial memory, and language fMRI. We used word encoding, word recognition, image encoding, and image recognition memory tasks, and semantic description, reading comprehension, and listening comprehension language tasks. We used three common lateralization metrics: network spatial distribution, maximum statistical value, and laterality index (LI).ResultsLateralization of signal spatial distribution resulted in poor similarity between verbal memory and language fMRI tasks. Signal maximum lateralization showed significant (>.8) but not perfect (1) similarity. Word encoding LI showed significant correlation only with listening comprehension LI (p = .016). Word recognition LI was significantly correlated with expressive language semantic description LI (p = .024) and receptive language reading and listening comprehension LIs (p = .015 and p = .019, respectively). There was no correlation between LIs of the visuospatial tasks and LIs of the language tasks.ConclusionsOur results support the association between language and verbal memory lateralization, optimally determined by LI quantification, and the introduction of quantitative means for language fMRI interpretation in clinical settings where verbal memory lateralization is imperative.

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Section: Language Fmri Tasksmentioning

confidence: 80%

Section: Fmri Tasksmentioning

confidence: 99%

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Concordance of verbal memory and language fMRI lateralization in people with epilepsy

Kokkinos,

Seimenis

2023

Journal of Neuroimaging

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“…Kokkinos et al. ( 2021 ) exploring the feasibility of language task‐fMRI in patients discovered that it can be applied even to severe tumor cases activating both Broca's and Wernicke's regions independent of covariates such as age, gender, handedness, and education level. A study not limited to the Wernicke–Lichtheim–Geschwind was made by Protopapas et al.…”

Section: Introductionmentioning

confidence: 99%

Standardization of presurgical language fMRI in Greek population: Mapping of six critical regions

et al. 2022

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Background Mapping the language system has been crucial in presurgical evaluation especially when the area to be resected is near relevant eloquent cortex. Functional magnetic resonance imaging (fMRI) proved to be a noninvasive alternative of Wada test that can account not only for language lateralization but also for localization when appropriate tasks and MRI sequences are being used. The tasks utilized during the fMRI acquisition are playing a crucial role as to which areas will be activated. Recent studies demonstrated that key language regions exist outside the classical model of “Wernicke–Lichtheim–Geschwind,” but sensitive tasks must take place in order to be revealed. On top of that, the tasks should be in mother tongue for appropriate language mapping to be possible. Methods For that reason, in this study, we adopted an English protocol that can reveal six language critical regions even in clinical setups and we translated it into Greek to prove its efficacy in Greek population. Twenty healthy right‐handed volunteers were recruited and performed the fMRI acquisition in a standardized manner. Results Results demonstrated that all six language critical regions were activated in all subjects as well as the group mean map. Furthermore, activations were found in the thalamus, the caudate, and the contralateral cerebellum. Conclusion In this study, we standardized an fMRI protocol in Greek and proved that it can reliably activate six language critical regions. We have validated its efficacy for presurgical language mapping in Greek patients capable to be adopted in clinical setup.

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“…Functional magnetic resonance imaging (fMRI) is a technique that uses the blood-oxygen-level-dependent (BOLD) effect to identify active regions in the brain. [1][2][3] In recent years, it has been used in an increasingly wide range of research and clinical applications, such as an ancillary tool for the diagnosis of schizophrenia, [4][5][6] Alzheimer's disease, [7][8][9][10] epilepsy, [11][12][13][14] and many other psychiatric disorders, for determining the efficacy of therapeutic drugs, and for preoperative planning to identify function before neurosurgery. [15][16][17][18][19] Conversely, in task-based fMRI, the change in signal intensity (SI) with the corresponding change in neural activity is usually very small (a few percent).…”

Section: Introductionmentioning

confidence: 99%

Development of a novel task‐based functional magnetic resonance imaging phantom based on a bubble‐compression approach

2022

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Phantoms used in previous functional magnetic resonance imaging (fMRI) studies have drawbacks, such as a complicated circuit and equipment use, a single signal-change rate, and T 2 * values that do not correspond to those of living human brains. We aimed to develop a phantom for use in task-based fMRI studies (gradient-echo echo-planar imaging; GRE-EPI) with bioequivalent T 1 and T 2 * values, using an innovative method to control the rate of signal change. Methods: A gel phantom with T 1 and T 2 * values equivalent to that of the living brain gray matter was fixed in a 150 mm diameter container, with five holes, each of which could hold a 30-ml syringe. The gel phantom contained microscopic air bubbles; this made it possible to control the percent signal change by injector-induced water pressure changes. Using this phantom, we investigated the percent signal change, derived an equation that can approximately reproduce an arbitrary percent signal change, compared different gel phantom samples, investigated the change in relaxation time and bubble size during signal change, and assessed the change in values in each sample over time. Results:The relaxation time of the gel phantom was similar to the literature values for gray matter. The percent signal change achieved was approximately 0%-13.51% and was dependent on the water pressure change. The derived equation was y = 0.000008x 3 − 0.000771x 2 + 0.034222x − 0.026054, with y being the percent signal change and x being the pressure in kPa; the reproducibility was high. No significant difference was detected among samples of gray matter gel phantoms (P > 0.05). The change in the rate of signal change with the change in water pressure was due to the change in T 2 * value with the change in bubble size. With pressure increasing from 0 to 151.7 kPa, the T 2 * value increased from 52 ms to 85 ms. The newly developed gel phantom was stable for 60 days, but its bubble size changed after 21 days. Conclusion:We developed a novel phantom for use in fMRI, which could reproduce minute signal changes similar to the blood-oxygen-level-dependent effect and with bioequivalent T 1 and T 2 * values,and used an innovative method to control the percent signal change by compressing the air contained in the phantom for validation of fMRI using GRE-EPI. This phantom reproduced the percent signal change due to changes in T 2 * values, which is very similar to scanning a human body. This phantom is expected to be a powerful tool for advancing the study of task-based fMRI.

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Feasibility, Contrast Sensitivity and Network Specificity of Language fMRI in Presurgical Evaluation for Epilepsy and Brain Tumor Surgery

Cited by 5 publications

References 102 publications

Concordance of verbal memory and language fMRI lateralization in people with epilepsy

Concordance of verbal memory and language fMRI lateralization in people with epilepsy

Standardization of presurgical language fMRI in Greek population: Mapping of six critical regions

Development of a novel task‐based functional magnetic resonance imaging phantom based on a bubble‐compression approach

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