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Cerebral Cortex: The frontal control network predicts memory inhibition ability

 Last Update: 2021-03-21
 Source: Internet
 Author: User

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Memory suppression (MS) is essential for mental health.

The study uses the thinking/no-thinking paradigm to assess MS ability through MS-induced forgetting.

The FPCN-specific model can predict MS ability well.

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The unique functional connection model of the frontal control network can predict the suppression-induced forgetting (SIF) score.

The predictive performance of different networks, cross-validation (CV) strategies and feature selection thresholds.

The FPCN network is of great significance to the establishment of MS prediction models .

oup.
com/cercor/advance-article/doi/10.
1093/cercor/bhab024/6154511" target="_blank" rel="noopener">Memory Suppression Ability can be Robustly Predicted by the Internetwork Communication of Frontoparietal Control Network in this message

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