基于深度聚类的功能成像衍生ADHD生物型可能引导个性化药物治疗.
Aichen Feng1,2, Yuan Feng3, Dongmei Zhi4
1Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 100190.
Research square
|October 4, 2023
概括
研究人员使用脑成像识别了注意力缺陷多动障碍 (ADHD) 的两种不同的亚型. 这一发现可能使个性化多动症治疗策略成为可能,提高药物有效性,以便更好地恢复症状.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 计算生物学 计算生物学
背景情况:
- 注意缺陷多动症 (ADHD) 是一种常见的神经发育障碍,缺乏明显的亚型-药物相关性.
- 客观的神经成像标记物是个性化,生物型导向的ADHD治疗所需的.
结论:
- 深度学习算法可以从神经成像数据中识别新的ADHD生物型.
- 这种方法促进了个性化治疗选择,以提高药物的有效性.
- 进一步探索ADHD生物型发现的深度学习是有必要的.
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