Literature DB >> 29167088

Network Neuroscience Theory of Human Intelligence.

Aron K Barbey1.   

Abstract

An enduring aim of research in the psychological and brain sciences is to understand the nature of individual differences in human intelligence, examining the stunning breadth and diversity of intellectual abilities and the remarkable neurobiological mechanisms from which they arise. This Opinion article surveys recent neuroscience evidence to elucidate how general intelligence, g, emerges from individual differences in the network architecture of the human brain. The reviewed findings motivate new insights about how network topology and dynamics account for individual differences in g, represented by the Network Neuroscience Theory. According to this framework, g emerges from the small-world topology of brain networks and the dynamic reorganization of its community structure in the service of system-wide flexibility and adaptation.
Copyright © 2017 The Author. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  brain network dynamics; crystallized intelligence; fluid intelligence; general intelligence; intrinsic connectivity networks; small-world network

Mesh:

Year:  2017        PMID: 29167088     DOI: 10.1016/j.tics.2017.10.001

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  49 in total

1.  Differential Contribution of Cortical Thickness, Surface Area, and Gyrification to Fluid and Crystallized Intelligence.

Authors:  Ehsan Tadayon; Alvaro Pascual-Leone; Emiliano Santarnecchi
Journal:  Cereb Cortex       Date:  2020-01-10       Impact factor: 5.357

2.  Statistical Significance Assessment of Phase Synchrony in the Presence of Background Couplings: An ECoG Study.

Authors:  Parham Mostame; Ali Moharramipour; Gholam-Ali Hossein-Zadeh; Abbas Babajani-Feremi
Journal:  Brain Topogr       Date:  2019-05-25       Impact factor: 3.020

3.  Nutrient biomarkers shape individual differences in functional brain connectivity: Evidence from omega-3 PUFAs.

Authors:  Tanveer Talukdar; Marta K Zamroziewicz; Christopher E Zwilling; Aron K Barbey
Journal:  Hum Brain Mapp       Date:  2018-12-16       Impact factor: 5.038

4.  The relationship between cognitive ability and BOLD activation across sleep-wake states.

Authors:  Zhuo Fang; Dylan M Smith; Evan Houldin; Laura Ray; Adrian M Owen; Stuart Fogel
Journal:  Brain Imaging Behav       Date:  2021-08-25       Impact factor: 3.978

5.  A survey of brain network analysis by electroencephalographic signals.

Authors:  Cuihua Luo; Fali Li; Peiyang Li; Chanlin Yi; Chunbo Li; Qin Tao; Xiabing Zhang; Yajing Si; Dezhong Yao; Gang Yin; Pengyun Song; Huazhang Wang; Peng Xu
Journal:  Cogn Neurodyn       Date:  2021-06-14       Impact factor: 5.082

6.  Inner Hemispheric and Interhemispheric Connectivity Balance in the Human Brain.

Authors:  Ronnie Krupnik; Yossi Yovel; Yaniv Assaf
Journal:  J Neurosci       Date:  2021-08-31       Impact factor: 6.167

Review 7.  On the nature and use of models in network neuroscience.

Authors:  Danielle S Bassett; Perry Zurn; Joshua I Gold
Journal:  Nat Rev Neurosci       Date:  2018-09       Impact factor: 34.870

8.  Distributed functional connectivity predicts neuropsychological test performance among older adults.

Authors:  Seyul Kwak; Hairin Kim; Hoyoung Kim; Yoosik Youm; Jeanyung Chey
Journal:  Hum Brain Mapp       Date:  2021-05-07       Impact factor: 5.038

Review 9.  Integrated Intelligence from Distributed Brain Activity.

Authors:  John Duncan; Moataz Assem; Sneha Shashidhara
Journal:  Trends Cogn Sci       Date:  2020-08-05       Impact factor: 20.229

10.  Bridging Brain and Cognition: A Multilayer Network Analysis of Brain Structural Covariance and General Intelligence in a Developmental Sample of Struggling Learners.

Authors:  Ivan L Simpson-Kent; Eiko I Fried; Danyal Akarca; Silvana Mareva; Edward T Bullmore; Rogier A Kievit
Journal:  J Intell       Date:  2021-06-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.