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Predicting hemispheric dominance for language production in healthy individuals using support vector machine

机译:使用支持向量机预测健康个体语言产生的半球优势

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摘要

We used a Support Vector Machine (SVM) classifier to assess hemispheric pattern of language dominance of 47 individuals categorized as non‐typical for language from their hemispheric functional laterality index (HFLI) measured on a sentence word‐list production fMRI‐BOLD contrast map. The SVM classifier was trained at discriminating between and hemispheric language production activation pattern on a group of 250 participants previously identified as Typicals (HFLI strongly leftward). Then, SVM was applied to each hemispheric language activation pattern of 47 non‐typical individuals. The results showed that at least one hemisphere (left or right) was found to be in every, except 3 individuals, indicating that the “dominant” type of functional organization is the most frequent in non‐typicals. Specifically, left hemisphere dominance was predicted in all non‐typical right‐handers (RH) and in 57.4% of non‐typical left‐handers (LH). When both hemisphere classifications were jointly considered, four types of brain patterns were observed. The most often predicted pattern (51%) was left‐dominant ( left‐hemisphere and right‐hemisphere), followed by right‐dominant (23%, right‐hemisphere and left‐hemisphere) and co‐dominant (19%, 2 hemispheres) patterns. Co‐non‐dominant was rare (6%, 2 hemispheres), but was normal variants of hemispheric specialization. In RH, only left‐dominant (72%) and co‐dominant patterns were detected, while for LH, all types were found, although with different occurrences. Among the 10 LH with a strong rightward HFLI, 8 had a right‐dominant brain pattern. Whole‐brain analysis of the right‐dominant pattern group confirmed that it exhibited a functional organization strictly mirroring that of left‐dominant pattern group. . ©
机译:我们使用支持向量机(SVM)分类器,根据在句子词表产生功能MRI-BOLD对比图上测得的半球功能偏侧性指数(HFLI),评估了被分类为非典型语言的47个人的语言优势的半球模式。对SVM分类器进行了训练,以区分先前已确定为典型的250名参与者(HFLI强烈向左)上的半球语言产生激活模式。然后,将SVM应用于47个非典型个体的每个半球语言激活模式。结果表明,除3个人外,每个人至少发现一个半球(左或右),这表明“主导”类型的功能组织在非典型人群中最为常见。具体而言,在所有非典型右撇子(RH)和57.4%的非典型左撇子(LH)中都预测了左半球优势。当同时考虑两个半球分类时,观察到四种类型的大脑模式。最常预测的模式(51%)为左主导(左半球和右半球),其次是右主导(23%,右半球和左半球)和共主导(19%,2个半球) )模式。 Co-non-dominant很少见(6%,2个半球),但是半球专业化的正常变体。在RH中,仅检测到左主导(72%)和共主导模式,而在LH中,发现了所有类型,尽管发生的次数不同。在10个LH中,HFLI向右强,其中8个的大脑模式为右主导。对右主导模式组的全脑分析证实,它表现出严格类似于左主导模式组的功能组织。 。 ©

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