Clinical Standardized fMRI Reveals Altered Language Lateralization in Patients with Brain Tumor

Partovi, Sasan; Jacobi, Bjoern; Rapps, Nora; Zipp, Lisa; Karimi, Sasan; Rengier, Fabian; Lyo, John; Stippich, Christoph

doi:10.3174/ajnr.a3137

Cited by 75 publications

(75 citation statements)

References 55 publications

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“…High mean LIs of between 0.74 and 0.89 have been reported for sentence generation, both when sentences are pre-learnt prior to scanning (e.g., Stippich et al, 2003), and when they are actively generated during the scan (e.g., Tzourio- Mazoyer et al, 2016). However, other studies have reported more modest laterality estimates of between 0.48 and 0.65, again with both variants of the task (Mazoyer et al, 2014;Partovi et al, 2012a;Partovi et al, 2012b). Thus, it does not appear to be the case that strength of laterality differs according to whether sentences are generated spontaneously during the scanning session, or learnt prior to scanning.…”

Section: Strength Reliability and Robustnessmentioning

confidence: 84%

“…Thus, it does not appear to be the case that strength of laterality differs according to whether sentences are generated spontaneously during the scanning session, or learnt prior to scanning. Two studies within our search measured laterality for semantic fluency and sentence generation within the same participants (Partovi et al, 2012a;Stippich et al, 2003); however, these studies reported differences in strength of laterality between the tasks in different directions. Further, they used the version of the sentence generation task in which sentences are learnt prior to scanning, so task demands were not well matched.…”

Section: Strength Reliability and Robustnessmentioning

confidence: 99%

“…Verbal fluency tasks tend to induce the strongest laterality in frontal ROIs (Gaillard et al, 2003;Niskanen et al, 2012;Ocklenburg, Hugdahl & Westerhausen, 2013;Partovi et al, 2012a;Partovi et al, 2012b;Propper et al, 2010;Szaflarski et al, 2008;Vernooij et al, 2007;Vikingstad et al, 2000;Vingerhoets et al, 2013;Zaca, Jarso & Pillai, 2013). Although they can induce strong laterality in temporoparietal ROIs (Harrington, Buonocore & Farias, 2006;Jensen-Kondering et al, 2012;Stippich et al, 2003), this may not be significantly greater than other tasks within this ROI (Zaca, Jarso & Pillai, 2013).…”

Section: Effect Of Region Of Interestmentioning

confidence: 99%

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CANDICE A1: Measuring language lateralisation with different language tasks: A systematic review

Bradshaw¹,

Thompson²,

Wilson³

et al. 2017

Preprint

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Language lateralisation refers to the phenomenon in which one hemisphere (typically the left) shows greater involvement in language functions than the other. Measurement of laterality is of interest both to researchers investigating the neural organisation of the language system and to clinicians needing to establish an individual's hemispheric dominance for language prior to surgery, as in patients with intractable epilepsy. Recently, there has been increasing awareness of the possibility that different language processes may develop hemispheric lateralisation independently, and to varying degrees. However, it is not always clear whether differences in laterality across language tasks with fMRI are reflective of meaningful variation in hemispheric lateralisation, or simply of trivial methodological differences between paradigms. This systematic review aims to assess different language tasks in terms of the strength, reliability and robustness of the laterality measurements they yield with fMRI, to look at variability that is both dependent and independent of aspects of study design, such as the baseline task, region of interest, and modality of the stimuli. Recommendations are made that can be used to guide task design; however, this review predominantly highlights that the current high level of methodological variability in language paradigms prevents conclusions as to how different language functions may lateralise independently. We conclude with suggestions for future research using tasks that engage distinct aspects of language functioning, whilst being closely matched on non-linguistic aspects of task design (e.g., stimuli, task timings etc); such research could produce more reliable and conclusive insights into language lateralisation. This systematic review was registered as a protocol on Open Science Framework: https://osf.io/5vmpt/.

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Section: Strength Reliability and Robustnessmentioning

confidence: 84%

Section: Strength Reliability and Robustnessmentioning

confidence: 99%

Section: Effect Of Region Of Interestmentioning

confidence: 99%

See 1 more Smart Citation

CANDICE A1: Measuring language lateralisation with different language tasks: A systematic review

Bradshaw¹,

Thompson²,

Wilson³

et al. 2017

Preprint

View full text Add to dashboard Cite

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“…Many studies on the feasibility of fMRI in presurgical mapping for brain tumors have been introduced [5]- [7] [16]. Because the fMRI study of cancer patients is difficult, SPAM-assisted presurgical mapping for brain tumor patients would be a more feasible option for clinics.…”

Section: Discussionmentioning

confidence: 99%

“…For example, functional magnetic resonance imaging is used to assess laterality in preoperative brain tumor cases [5]- [7]. In addition, navigated transcranial magnetic stimulation (nTMS) is increasingly used in presurgical brain mapping.…”

Section: Introductionmentioning

confidence: 99%

Presurgical Mapping of Brain Tumors Using Statistical Probabilistic Anatomical Maps

Kim¹,

Cheon²,

Lim³

2015

JBiSE

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Purpose: Multi-tracer neuroimaging is widely used for the diagnosis, radiotherapy, and neurosurgery of brain gliomas. Anatomical and functional information is important to avoid having neurological deficits induced during the resection or radiation therapy of brain gliomas. The aim of this study was to investigate presurgical anatomical labeling of brain gliomas on FLT and FET using statistical probabilistic anatomic maps (SPAM), which are images of cerebral cortical, cerebellar, and subcortical volumes of interest (VOIs). Methods: FDG, FLT, and FET PET scans were acquired. FLT and FET PET images were coregistered to the FDG PET images, which were then spatially normalized onto the target brain. An inverse spatial normalization parameter was calculated and applied to SPAM. For the anatomical labeling of brain glioma regions, the volumes of brain gliomason FLT and FET images were extracted using segmentation. Probabilistic information of the glioma region was then calculated using SPAM and the segmented glioma volumes. SPM and an in-house program were used for image processing. Results: The probability of SPAM labeling a brain glioma region could be extracted using the inverse normalized SPAM and segmented glioma regions. In a sample case, the probabilistic anatomical region of the glioma included 21% of the postcentral gyrus, 12% of the superior parietal gyrus, and 6% of the angular gyrus. Conclusion: Anatomical information about brain gliomas could be extracted using SPAM. This proposed method would be optional for presurgical mapping, to avoid an additional functional mapping study that might otherwise be necessary to avoid producing neurological deficits.

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More widespread functionality of posterior language area in patients with brain tumors

Nakajima,

Osada,

Kinoshita

et al. 2024

Human Brain Mapping

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Damage to the posterior language area (PLA), or Wernicke's area causes cortical reorganization in the corresponding regions of the contralateral hemisphere. However, the details of reorganization within the ipsilateral hemisphere are not fully understood. In this context, direct electrical stimulation during awake surgery can provide valuable opportunities to investigate neuromodulation of the human brain in vivo, which is difficult through the non‐invasive approaches. Thus, in this study, we aimed to investigate the characteristics of the cortical reorganization of the PLA within the ipsilateral hemisphere. Sixty‐two patients with left hemispheric gliomas were divided into groups depending on whether the lesion extended to the PLA. All patients underwent direct cortical stimulation with a picture‐naming task. We further performed functional connectivity analyses using resting‐state functional magnetic resonance imaging (MRI) in a subset of patients and calculated betweenness centrality, an index of the network importance of brain areas. During direct cortical stimulation, the regions showing positive (impaired) responses in the non‐PLA group were localized mainly in the posterior superior temporal gyrus (pSTG), whereas those in the PLA group were widely distributed from the pSTG to the posterior supramarginal gyrus (pSMG). Notably, the percentage of positive responses in the pSMG was significantly higher in the PLA group (47%) than in the non‐PLA group (8%). In network analyses of functional connectivity, the pSMG was identified as a hub region with high betweenness centrality in both the groups. These findings suggest that the language area can spread beyond the PLA to the pSMG, a hub region, in patients with lesion progression to the pSTG. The change in the pattern of the language area may be a compensatory mechanism to maintain efficient brain networks.

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Clinical Standardized fMRI Reveals Altered Language Lateralization in Patients with Brain Tumor

Cited by 75 publications

References 55 publications

CANDICE A1: Measuring language lateralisation with different language tasks: A systematic review

CANDICE A1: Measuring language lateralisation with different language tasks: A systematic review

Presurgical Mapping of Brain Tumors Using Statistical Probabilistic Anatomical Maps

More widespread functionality of posterior language area in patients with brain tumors

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