2019
DOI: 10.1016/j.bandl.2016.06.002
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Neuroimaging correlates of language network impairment and reorganization in temporal lobe epilepsy

Abstract: Advanced, noninvasive imaging has revolutionized our understanding of language networks in the brain and is reshaping our approach to the presurgical evaluation of patients with epilepsy. Functional magnetic resonance imaging (fMRI) has had the greatest impact, unveiling the complexity of language organization and reorganization in patients with epilepsy both pre- and postoperatively, while volumetric MRI and diffusion tensor imaging have led to a greater appreciation of structural and microstructural correlat… Show more

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Cited by 33 publications
(24 citation statements)
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References 143 publications
(189 reference statements)
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“…2A and Supporting Information, Table S1). Evidence of abnormal language networks in TLE has been consistently described and interpreted in association with language deficits (see reviews by Balter et al, 2016 andHamberger andCole, 2011). These areas have been associated with various aspects of reading and lexical responses (Schwartz et al, 1999).…”
Section: Discussionmentioning
confidence: 99%
“…2A and Supporting Information, Table S1). Evidence of abnormal language networks in TLE has been consistently described and interpreted in association with language deficits (see reviews by Balter et al, 2016 andHamberger andCole, 2011). These areas have been associated with various aspects of reading and lexical responses (Schwartz et al, 1999).…”
Section: Discussionmentioning
confidence: 99%
“…Interestingly, our lexical‐semantic task was associated with preserved left frontal activation in TLE‐LI. This is important to note, because many fMRI tasks currently implemented for language mapping (eg, covert word generation) primarily demonstrate robust and reliable frontal lobe activations but less reliable temporal lobe activations. Our findings suggest that lexical‐semantic tasks designed to elicit temporal lobe activation may be a promising way to assess language network dysfunction in TLE.…”
Section: Discussionmentioning
confidence: 99%
“…For use in the ROI analysis, fMRI voxel activations were corrected for multiple comparisons by using a significance level of P < .01 and a cluster size ≥ 20, for a corrected α of .05 as determined by 3dClustSim. To probe possible network reorganization differences between groups, language laterality indices were calculated (LI = [L − R] / [L + R]) using a lateral temporal ROI …”
Section: Methodsmentioning
confidence: 99%
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