2023
DOI: 10.1212/wnl.0000000000206862
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Contribution of White Matter Fiber Bundle Damage to Language Change After Surgery for Temporal Lobe Epilepsy

Abstract: Background and Objectives:In medically refractory temporal lobe epilepsy (TLE), 30-50% of patients experience substantial language decline following resection in the language dominant hemisphere. Here, we investigate the contribution of white matter fiber bundle damage to language change at 3- and 12-months after surgery.Methods:We studied 127 patients who underwent TLE surgery from 2010–2019. Neuropsychological testing included picture naming, semantic, and phonemic verbal fluency, performed pre-operatively, … Show more

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Cited by 7 publications
(6 citation statements)
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“…Reduced white matter connectivity between these regions could impair visual recognition and memory retrieval. We can infer that this supports our previous research which linked the integrity of the inferior-fronto-occipital fasciculus (IFOF), which interconnects these regions, to picture naming decline at 3 months post-injury ( Binding et al, 2023 ). While our previous analysis did not find a relationship between IFOF integrity and naming decline at 12 months, the IFOF encapsulates cortical connections to many regions beyond the two regions we included in our analysis.…”
Section: Discussionsupporting
confidence: 90%
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“…Reduced white matter connectivity between these regions could impair visual recognition and memory retrieval. We can infer that this supports our previous research which linked the integrity of the inferior-fronto-occipital fasciculus (IFOF), which interconnects these regions, to picture naming decline at 3 months post-injury ( Binding et al, 2023 ). While our previous analysis did not find a relationship between IFOF integrity and naming decline at 12 months, the IFOF encapsulates cortical connections to many regions beyond the two regions we included in our analysis.…”
Section: Discussionsupporting
confidence: 90%
“…Our study found that estimated changes in all graph theory metrics (i.e., clustering coefficient, betweenness centrality, and strength) and clinical factors were able to classify decline in picture naming at 3 months after ATLR with an AUC of 0.89. Previous research showed that language function dips immediately after surgery followed by some patients improving ( Binding et al, 2023 ). As such, our results suggest that all clustering coefficient, betweenness centrality, strength, and clinical factors play a role in the preparedness of the brain to a temporal lobe resection.…”
Section: Discussionmentioning
confidence: 99%
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“…Multiple previous studies have predicted language outcomes with preoperative imaging while others have documented associations between resections and postoperative language decline. [19][20][21][22][23][24][25] However, in our view, this study has unique clinical value. Here we report novel data that can directly inform operative decisions by predicting the long-term functional impact of individual tumor-removal strategies with strong accuracy (>90%).…”
Section: Discussionmentioning
confidence: 84%
“…Nonetheless, the prediction of postoperative language dysfunction is crucial because patients whose language-dominant hemispheres are resected have a substantial risk (ranging from 30% to 50%) of experiencing a decline in their language-related function after the surgical procedure. For instance, Binding et al 64 used probabilistic tractography to map language-related white matter tracts (such as the AF, uncinate fasciculus, inferior longitudinal fasciculus, middle longitudinal fasciculus, and inferior fronto-occipital fasciculus) in 127 patients undergoing TLE surgery to explore the correlation between postoperative language function assessment and the percentage of white matter tracts impaired by the surgery. According to their findings, in language-dominant hemispherectomy, the greater the surgical damage to the AF and inferior fronto-occipital fasciculus, the worse the language function at 3 months.…”
Section: Diffusion Mri Tractographymentioning
confidence: 99%