Intelligence and neural efficiency.

By Aljoscha C. Neubauer, Andreas Fink. Neuroscience and Biobehavioral Reviews, 2009

877 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/15693ecd04c34ed9e0293fb60113249792f4b051

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Developmental and Educational Psychology

In Experimental and Cognitive Psychology

Citations in the corpus

Conceptions of Efficiency: Applications in Learning and Problem Solving (2010, background): “These studies suggest the existence of a general efficiency component during information processing (Grabner, Neubauer, & Stern, 2006; Neubauer & Fink, 2009).”
Dissecting the social brain: Introducing the EmpaToM to reveal distinct neural networks and brain-behavior relations for empathy and Theory of Mind (2015, neutral): “…to the neural efficiency hypothesis, claiming that expertise in a specific task comes with reduced activation of the underlying neural network (Neubauer and Fink, 2009) and behavioral impairments relate to activation increase (Kanske et al., 2013a; Wessa et al., 2013), our results clearly…”
A distributed brain network predicts general intelligence from resting-state human neuroimaging data (2018, background): “As we know that task functional MRI [31,34] and structural MRI data (brain size [44], as well as morphometric features [63]) also hold information that is predictive of cognitive ability, a natural question is whether combining functional and structural data will allow us to account for more varianc”
Contemplating Mindfulness at Work (2016, background): “Considered as a whole, these results suggest that mindfulness increases cognitive capacity and flexibility, at least in part via its effects on attention.”
Exploring the brain network: a review on resting-state fMRI functional connectivity. (2010, background): “Indeed, supporting an information integration efficiency hypothesis of intelligence (Jung and Haier, 2007; Neubauer and Fink, 2009; van den Heuvel et al., 2009), EEG findings have indicated that higher educated participants have on average a shorter path length than lower educated subjects…”
Higher integration of the whole-brain resting state theta band network is associated with spatial working memory (2026, unknown): “The negative association between characteristic path length and SWM performance aligns with the neural efficiency hypothesis, which posits that individuals with higher cognitive abilities exhibit lower and more efficient brain activation (Neubauer and Fink, 2009).”