Use of fMRI language lateralization for quantitative prediction of naming and verbal memory outcome in left temporal lobe epilepsy surgery
fMRI: Basics and Clinical Applications, Vol: 9783642343421, Page: 119-139
2013
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
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Book Chapter Description
Partial removal of the anterior temporal lobe (ATL) is a highly effective surgical treatment for intractable epilepsy, yet roughly half of patients who undergo left ATL resection show decline in language or verbal memory function postoperatively. Preoperative fMRI has been shown in several studies to predict postoperative naming and verbal memory outcome in such patients. Most importantly, fMRI significantly improves the accuracy of prediction relative to other noninvasive measures used alone. Addition of language and memory lateralization data from the intracarotid amobarbital (Wada) test did not improve prediction accuracy in these studies. Thus, fMRI provides patients and practitioners with a safe, noninvasive, and well-validated tool for making better-informed decisions regarding elective surgery based on a quantitative assessment of cognitive risk.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84929134433&origin=inward; http://dx.doi.org/10.1007/978-3-642-34342-1_10; https://link.springer.com/10.1007/978-3-642-34342-1_10; https://dx.doi.org/10.1007/978-3-642-34342-1_10; https://link.springer.com/chapter/10.1007/978-3-642-34342-1_10
Springer Science and Business Media LLC
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