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Extending metabolic considerations to the default mode network.

Yi-Sheng Wong

Behavioral and Brain Sciences October 2, 2026 DOI: 10.1017/s0140525x26106074 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Topics Default mode network
Key points Argues that the default mode network's elevated aerobic glycolysis acts as a metabolic constraint on spontaneous thought, shaping its richness across varying task demands and predicting load-dependent phenomenological shifts via inter-network resource competition. This extends Haueis and Colaço's evaluative and generative framework for metabolic considerations in cognitive modeling.

Abstract

Haueis and Colaço distinguish evaluative and generative roles for metabolic considerations in cognitive modeling. I extend this framework to the default mode network, arguing that this network's elevated aerobic glycolysis constitutes a metabolic constraint on spontaneous thought. This constraint shapes the richness of spontaneous thought across varying task demands and predicts load-dependent phenomenological shifts through inter-network resource competition.

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  • Argues that the DMN's elevated aerobic glycolysis constitutes a metabolic constraint on spontaneous thought, predicting load-dependent phenomenological shifts through inter-network resource competition.

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