Literature DB >> 34764223

Fluid intelligence and the locus coeruleus-norepinephrine system.

Jason S Tsukahara1, Randall W Engle2.   

Abstract

The last decade has seen significant progress identifying genetic and brain differences related to intelligence. However, there remain considerable gaps in our understanding of how cognitive mechanisms that underpin intelligence map onto various brain functions. In this article, we argue that the locus coeruleus-norepinephrine system is essential for understanding the biological basis of intelligence. We review evidence suggesting that the locus coeruleus-norepinephrine system plays a central role at all levels of brain function, from metabolic processes to the organization of large-scale brain networks. We connect this evidence with our executive attention view of working-memory capacity and fluid intelligence and present analyses on baseline pupil size, an indicator of locus coeruleus activity. Using a latent variable approach, our analyses showed that a common executive attention factor predicted baseline pupil size. Additionally, the executive attention function of disengagement--not maintenance--uniquely predicted baseline pupil size. These findings suggest that the ability to control attention may be important for understanding how cognitive mechanisms of fluid intelligence map onto the locus coeruleus-norepinephrine system. We discuss how further research is needed to better understand the relationships between fluid intelligence, the locus coeruleus-norepinephrine system, and functionally organized brain networks.

Entities:  

Keywords:  brain basis of intelligence; cognitive ability; individual differences; locus coeruleus; pupil size

Mesh:

Substances:

Year:  2021        PMID: 34764223      PMCID: PMC8609644          DOI: 10.1073/pnas.2110630118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  111 in total

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4.  Resource allocation and fluid intelligence: insights from pupillometry.

Authors:  Elke van der Meer; Reinhard Beyer; Judith Horn; Manja Foth; Boris Bornemann; Jan Ries; Juerg Kramer; Elke Warmuth; Hauke R Heekeren; Isabell Wartenburger
Journal:  Psychophysiology       Date:  2009-09-15       Impact factor: 4.016

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Authors:  Ming Song; Yong Liu; Yuan Zhou; Kun Wang; Chunshui Yu; Tianzi Jiang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

6.  Pupillometry and P3 index the locus coeruleus-noradrenergic arousal function in humans.

Authors:  Peter R Murphy; Ian H Robertson; Joshua H Balsters; Redmond G O'connell
Journal:  Psychophysiology       Date:  2011-07-18       Impact factor: 4.016

7.  Resting-state networks predict individual differences in common and specific aspects of executive function.

Authors:  Andrew E Reineberg; Jessica R Andrews-Hanna; Brendan E Depue; Naomi P Friedman; Marie T Banich
Journal:  Neuroimage       Date:  2014-10-02       Impact factor: 6.556

Review 8.  New perspectives on catecholaminergic regulation of executive circuits: evidence for independent modulation of prefrontal functions by midbrain dopaminergic and noradrenergic neurons.

Authors:  Daniel J Chandler; Barry D Waterhouse; Wen-Jun Gao
Journal:  Front Neural Circuits       Date:  2014-05-21       Impact factor: 3.492

9.  Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity.

Authors:  Emily S Finn; Xilin Shen; Dustin Scheinost; Monica D Rosenberg; Jessica Huang; Marvin M Chun; Xenophon Papademetris; R Todd Constable
Journal:  Nat Neurosci       Date:  2015-10-12       Impact factor: 24.884

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Authors:  Kirsten Hilger; Makoto Fukushima; Olaf Sporns; Christian J Fiebach
Journal:  Hum Brain Mapp       Date:  2019-10-06       Impact factor: 5.038

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  2 in total

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Journal:  J Physiol Sci       Date:  2022-09-24       Impact factor: 2.257

2.  Publication guidelines and recommendations for pupillary measurement in psychophysiological studies.

Authors:  Stuart R Steinhauer; Margaret M Bradley; Greg J Siegle; Kathryn A Roecklein; Annika Dix
Journal:  Psychophysiology       Date:  2022-04       Impact factor: 4.348

  2 in total

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