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<p>Intelligence is a broad mental capability influencing human performance across tasks. Individual differences in intelligence have been linked to characteristics of structural and functional brain networks. Here, we consider their alignment, the structural-functional brain network coupling (SC-FC coupling) during resting state and during&#xa0;active cognition, to predict general intelligence. Using diffusion-weighted and functional magnetic resonance imaging data from 764 participants of the Human Connectome Project (replication: <i>N</i><sub><i>1</i></sub> = 126, <i>N</i><sub><i>2</i></sub> = 180), we model SC-FC coupling with similarity and communication measures that capture functional interactions unfolding on top of structural brain networks. By accounting for variations in brain region-specific neural signaling strategies, we show that individual differences in SC-FC coupling patterns predict individual intelligence scores. Most robust predictions result from cognitively demanding tasks and task combinations. Our study suggests the existence of an intrinsic SC-FC coupling organization enabling fine-drawn intelligence-relevant adaptations that support efficient information processing by facilitating brain region-specific adjustment to external task demands.</p>

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Structural-functional brain network coupling during cognitive demand reveals intelligence-relevant communication strategies

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月4日

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  • Johanna L. Popp,
  • Jonas A. Thiele,
  • Joshua Faskowitz,
  • Caio Seguin,
  • Olaf Sporns,
  • Kirsten Hilger

摘要

Intelligence is a broad mental capability influencing human performance across tasks. Individual differences in intelligence have been linked to characteristics of structural and functional brain networks. Here, we consider their alignment, the structural-functional brain network coupling (SC-FC coupling) during resting state and during active cognition, to predict general intelligence. Using diffusion-weighted and functional magnetic resonance imaging data from 764 participants of the Human Connectome Project (replication: N1 = 126, N2 = 180), we model SC-FC coupling with similarity and communication measures that capture functional interactions unfolding on top of structural brain networks. By accounting for variations in brain region-specific neural signaling strategies, we show that individual differences in SC-FC coupling patterns predict individual intelligence scores. Most robust predictions result from cognitively demanding tasks and task combinations. Our study suggests the existence of an intrinsic SC-FC coupling organization enabling fine-drawn intelligence-relevant adaptations that support efficient information processing by facilitating brain region-specific adjustment to external task demands.