Network Neuroscience Methods for Studying Intelligence

doi:10.1017/9781108635462.004

2 - Network Neuroscience Methods for Studying Intelligence

from Part I - Fundamental Issues

Published online by Cambridge University Press: 11 June 2021

Kirsten Hilger and

Edited by

Sherif Karama and

Aron K. Barbey: Affiliation:
University of Illinois, Urbana-Champaign
Sherif Karama: Affiliation:
McGill University, Montréal
Richard J. Haier: Affiliation:
University of California, Irvine

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Summary

The human brain is a complex network consisting of numerous functionally specialized brain regions and their inter-regional connections. In recent years, much research has focused on identifying principles of the anatomical and functional organization of brain networks (Bullmore & Sporns, 2009; Sporns, 2014) and their relation to spontaneous (resting-state; Buckner, Krienen, & Yeo, 2013; Fox et al., 2005) or task-related brain activity (Cole, Bassett, Power, Braver, & Petersen, 2014). Numerous studies have identified relationships between variations in network elements or features and individual differences in behavior and cognition. In the context of this monograph, studies of general cognitive ability (often indexed as general intelligence) are of special interest. In this chapter we survey some of the methodological aspects surrounding studies of human brain networks using noninvasive large-scale imaging and electrophysiological techniques and discuss the application of such network approaches in studies of human intelligence.

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Type: Chapter
Information: The Cambridge Handbook of Intelligence and Cognitive Neuroscience , pp. 26 - 43

DOI: https://doi.org/10.1017/9781108635462.004 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2021

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