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Updated: Feb 14, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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基于机器学习的功能性失调特征在双极性障碍青少年的核心大脑网络的识别使用任务fMRI

Peishan Dai1, Ting Hu1, Kaineng Huang1

  • 1School of Computer Science and Engineering, Central South University, Changsha 410083, China.

Diagnostics (Basel, Switzerland)
|February 13, 2026
PubMed
概括

神经成像揭示了双极性障碍 (BD) 青少年的独特大脑活动模式,即使在缓解期间. 这些发现可能有助于早期区分和理解青少年的BD.

关键词:
青少年双相情感障碍 青少年双相情感障碍默认模式网络模式 默认模式网络模式机器学习是机器学习.情绪状态 情绪状态神经成像生物标志物的生物标志物前额叶皮层前额叶皮层基于任务的fMRI.

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