Article

A distributed brain network predicts general intelligence from resting-state human neuroimaging data

2018-01-31

Abstract excerpt

Individual people differ in their ability to reason, solve problems, think abstractly, plan and learn. A reliable measure of this general ability, also known as intelligence, can be derived from scores across a diverse set of cognitive tasks. There is great interest in understanding the neural underpinnings of individual differences in intelligence, since it is the single best predictor of longterm life success. T...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7d75eb9e-1b23-571e-8d1d-68d0719eec92
DOI: 10.1101/257865

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A distributed brain network predicts general intelligence from resting-state human neuroimaging dataDOI 10.1101/257865Read

On the prediction of human intelligence from neuroimaging: A systematic review of methods and reportingSemantic proximity Read

Predicting intelligence from fMRI data of the human brain in a few minutes of scan timeSemantic proximity Read

Brain Network Mechanisms of General IntelligenceSemantic proximity Read

General Functional Connectivity: shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networksSemantic proximity Read

Towards a “Treadmill Test” for Cognition: Reliable Prediction of Intelligence From Whole-Brain Task Activation PatternsSemantic proximity Read

Regional structural-functional connectome coupling is heritable and associated with age, sex and cognitive scores in adultsSemantic proximity Read

Human Intelligence and the Connectome are Driven by Structural Brain Network ControlSemantic proximity Read

Choosing explanation over performance: Insights from machine learning-based prediction of human intelligence from brain connectivitySemantic proximity Read

Stable Individual Differences from Dynamic Patterns of Function: Brain Network Flexibility Predicts Openness/Intellect and IntelligenceSemantic proximity Read

Theory-based explorations of associations between human brain structure and intelligence from childhood to early adulthoodSemantic proximity Read

Structural-Functional Brain Network Coupling During Task Performance Reveals Intelligence-Relevant Communication StrategiesSemantic proximity Read

Predicting cognitive abilities across individuals using sparse EEG connectivitySemantic proximity Read