Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth.
Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth.
复制标题
自杀和情感概念神经表示的机器学习确定了自杀青年。
DOI：
10.1038/s41562-017-0234-y
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发表时间：
2017
影响因子：
29.9
通讯作者：
Brent D
中科院分区：
文献类型：
--
作者：
Just MA;Pan L;Cherkassky VL;McMakin DL;Cha C;Nock MK;Brent D
对自杀风险的临床评估将得到一项基于生物学的措施的显著补充，该措施评估参与自杀意念的人在与死亡和生命相关的概念的神经表征方面的变化。这项研究使用机器学习算法(高斯朴素贝叶斯)来识别这些个体(17个自杀意想者与17个对照组)，基于他们对死亡和生命相关概念的改变的fMRI神经信号，具有高(91%)的准确率。最具辨别力的概念是死亡、残忍、麻烦、无忧无虑、好和赞扬。一个类似的分类准确地(94%)区分了9个自杀意念者和8个没有自杀企图的自杀意念者。此外，概念变化的一个主要方面是诱发情绪，其神经特征作为准确(85%)群体分类的替代基础。这项研究为有自杀意念的参与者改变概念表征建立了生物学和神经认知基础，这使得高精度的群体成员分类成为可能。
The clinical assessment of suicidal risk would be significantly complemented by a biologically-based measure that assesses alterations in the neural representations of concepts related to death and life in people who engage in suicidal ideation. This study used machine-learning algorithms (Gaussian Naïve Bayes) to identify such individuals (17 suicidal ideators vs 17 controls) with high (91%) accuracy, based on their altered fMRI neural signatures of death and life-related concepts. The most discriminating concepts were death, cruelty, trouble, carefree, good, and praise. A similar classification accurately (94%) discriminated 9 suicidal ideators who had made a suicide attempt from 8 who had not. Moreover, a major facet of the concept alterations was the evoked emotion, whose neural signature served as an alternative basis for accurate (85%) group classification. The study establishes a biological, neurocognitive basis for altered concept representations in participants with suicidal ideation, which enables highly accurate group membership classification.
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影响因子：
25.8
作者：
Brent, David A.;Melhem, Nadine M.;Oquendo, Maria;Burke, Ainsley;Birmaher, Boris;Stanley, Barbara;Biernesser, Candice;Keilp, John;Kolko, David;Ellis, Steve;Porta, Giovanna;Zelazny, Jamie;Iyengar, Satish;Mann, John
通讯作者：
Mann, John
影响因子：
3.2
作者：
Jacobson, Colleen;Batejan, Kristen;Gould, Madelyn
通讯作者：
Gould, Madelyn
影响因子：
3.7
作者：
Dukart J;Schroeter ML;Mueller K;Alzheimer's Disease Neuroimaging Initiative
通讯作者：
Alzheimer's Disease Neuroimaging Initiative
影响因子：
2.8
作者：
Adler, Abby;Bush, Ashley;Brown, Gregory K.
通讯作者：
Brown, Gregory K.
影响因子：
5.5
作者：
Glenn CR;Nock MK
通讯作者：
Nock MK