Brain cognition gaps reveal associations with dopamine and factors related to brain health through artificial intelligence prediction of functional connectome
· 2026-09-02 · 原文
A key question in human neuroscience is to understand how individual differences in brain function relate to cognitive differences. However, the optimal condition of brain function to study between-person differences in cognition remains unclear. While many studies have developed objective biomarkers to accurately predict intelligence and general cognition, consensus on domain-specific markers has not yet emerged. Brain age has been proposed as a potential candidate, but recent research suggests that brain age offers minimal additional information on cognitive decline beyond what chronological age provides, prompting a shift toward approaches focused directly on cognitive prediction. Using a deep learning approach, we evaluated the predictive power of the functional connectome during vario
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1. 人话版
A key question in human neuroscience is to understand how individual differences in brain function relate to cognitive differences.
However, the optimal condition of brain function to study between-person differences in cognition remains unclear.
2. 领域脉络
While many studies have developed objective biomarkers to accurately predict intelligence and general cognition, consensus on domain-specific markers has not yet emerged.
3. 机制拆解
Using a deep learning approach, we evaluated the predictive power of the functional connectome during vario
4. 证据与数字
摘要未给出量化结果——留意原文的实验与数据。
5. 反例与边界
Brain age has been proposed as a potential candidate, but recent research suggests that brain age offers minimal additional information on cognitive decline beyond what chronological age provides, prompting a shift toward approaches focused directly on cognitive prediction.
6. 跨领域连接与意外收获
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7. 可复用方法
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8. 术语表
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