IDEAS home Printed from https://ideas.repec.org/a/eee/intell/v63y2017icp9-28.html
   My bibliography  Save this article

Dissecting the parieto-frontal correlates of fluid intelligence: A comprehensive ALE meta-analysis study

Author

Listed:
  • Santarnecchi, Emiliano
  • Emmendorfer, Alexandra
  • Pascual-Leone, Alvaro

Abstract

Recent advances in cognitive neuroscience have shown how experience-independent cognitive abilities termed fluid intelligence (Gf) can predict academic achievement, longevity and resilience to neurodegeneration. Therefore, the understanding of the neurobiological underpinnings of Gf becomes a crucial step for the implementation of cognitive rehabilitation as well as enhancement interventions. Here we present the result of a quantitative meta-analysis of available fMRI and PET literature about Gf in humans, including (i) distinct maps for verbal and visuospatial stimuli, (ii) an analysis of brain regions contributing to processing of more complex stimuli as well as (iii) a model-driven distinction of processing stages occurring during Gf-related problem solving. Results highlight the loading of Gf components over functionally defined resting-state fMRI networks, with different degrees of overlap in both hemispheres and subcortical structures. A major role for nodes of the dorsal attention network during both verbal and visuospatial abstract reasoning tasks represents the most consistent correlate of Gf, with additional contributions by regions of the anterior salience and left fronto-parietal control network. Increase in trial difficulty elicits a more pronounced engagement of the language and left fronto-parietal control networks, while inferring the rules subtending a given Gf task relies on a different anatomo-functional substrate than producing novel solutions. Current findings might allow a clearer association between Gf-related activity and brain connectivity, also providing quantitative ALE maps to be used in network-based brain stimulation and cognitive training interventions.

Suggested Citation

  • Santarnecchi, Emiliano & Emmendorfer, Alexandra & Pascual-Leone, Alvaro, 2017. "Dissecting the parieto-frontal correlates of fluid intelligence: A comprehensive ALE meta-analysis study," Intelligence, Elsevier, vol. 63(C), pages 9-28.
    • Handle: RePEc:eee:intell:v:63:y:2017:i:c:p:9-28
    DOI: 10.1016/j.intell.2017.04.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160289617300090
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.intell.2017.04.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Matthew F. Glasser & Timothy S. Coalson & Emma C. Robinson & Carl D. Hacker & John Harwell & Essa Yacoub & Kamil Ugurbil & Jesper Andersson & Christian F. Beckmann & Mark Jenkinson & Stephen M. Smith , 2016. "A multi-modal parcellation of human cerebral cortex," Nature, Nature, vol. 536(7615), pages 171-178, August.
    2. Matthew Botvinick & Leigh E. Nystrom & Kate Fissell & Cameron S. Carter & Jonathan D. Cohen, 1999. "Conflict monitoring versus selection-for-action in anterior cingulate cortex," Nature, Nature, vol. 402(6758), pages 179-181, November.
    3. Sprugnoli, Giulia & Rossi, Simone & Emmendorfer, Alexandra & Rossi, Alessandro & Liew, Sook-Lei & Tatti, Elisa & di Lorenzo, Giorgio & Pascual-Leone, Alvaro & Santarnecchi, Emiliano, 2017. "Neural correlates of Eureka moment," Intelligence, Elsevier, vol. 62(C), pages 99-118.
    4. Tirin Moore & Katherine M. Armstrong, 2003. "Selective gating of visual signals by microstimulation of frontal cortex," Nature, Nature, vol. 421(6921), pages 370-373, January.
    5. Ian Deary, 2008. "Why do intelligent people live longer?," Nature, Nature, vol. 456(7219), pages 175-176, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gągol, A. & Magnuski, M. & Kroczek, B. & Kałamała, P. & Ociepka, M. & Santarnecchi, E. & Chuderski, A., 2018. "Delta-gamma coupling as a potential neurophysiological mechanism of fluid intelligence," Intelligence, Elsevier, vol. 66(C), pages 54-63.
    2. Ünal, Zehra E. & Kartal, Gamze & Ulusoy, Serra & Ala, Aslı M. & Yilmaz, Munube & Geary, David C., 2023. "Relative contributions of g and basic domain-specific mathematics skills to complex mathematics competencies," Intelligence, Elsevier, vol. 101(C).
    3. Fraenz, Christoph & Schlüter, Caroline & Friedrich, Patrick & Jung, Rex E. & Güntürkün, Onur & Genç, Erhan, 2021. "Interindividual differences in matrix reasoning are linked to functional connectivity between brain regions nominated by Parieto-Frontal Integration Theory," Intelligence, Elsevier, vol. 87(C).
    4. Zurrin, Riley & Wong, Samantha Tze Sum & Roes, Meighen M. & Percival, Chantal M. & Chinchani, Abhijit & Arreaza, Leo & Kusi, Mavis & Momeni, Ava & Rasheed, Maiya & Mo, Zhaoyi & Goghari, Vina M. & Wood, 2024. "Functional brain networks involved in the Raven's standard progressive matrices task and their relation to theories of fluid intelligence," Intelligence, Elsevier, vol. 103(C).
    5. Bruton, Oliver J., 2021. "Is there a “g-neuron”? Establishing a systematic link between general intelligence (g) and the von Economo neuron," Intelligence, Elsevier, vol. 86(C).
    6. Hilger, Kirsten & Spinath, Frank M. & Troche, Stefan & Schubert, Anna-Lena, 2022. "The biological basis of intelligence: Benchmark findings," Intelligence, Elsevier, vol. 93(C).
    7. Jastrzębski, Jan & Ciechanowska, Iwona & Chuderski, Adam, 2018. "The strong link between fluid intelligence and working memory cannot be explained away by strategy use," Intelligence, Elsevier, vol. 66(C), pages 44-53.
    8. Ociepka, Michał & Kałamała, Patrycja & Chuderski, Adam, 2022. "High individual alpha frequency brains run fast, but it does not make them smart," Intelligence, Elsevier, vol. 92(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Santarnecchi, Emiliano & Emmendorfer, Alexandra & Tadayon, Sayedhedayatollah & Rossi, Simone & Rossi, Alessandro & Pascual-Leone, Alvaro, 2017. "Network connectivity correlates of variability in fluid intelligence performance," Intelligence, Elsevier, vol. 65(C), pages 35-47.
    2. Strulik, Holger, 2018. "The return to education in terms of wealth and health," The Journal of the Economics of Ageing, Elsevier, vol. 12(C), pages 1-14.
    3. Keita Kamijo & Seongryu Bae & Hiroaki Masaki, 2016. "The Association of Childhood Fitness to Proactive and Reactive Action Monitoring," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-13, March.
    4. Leon D. Lotter & Amin Saberi & Justine Y. Hansen & Bratislav Misic & Casey Paquola & Gareth J. Barker & Arun L. W. Bokde & Sylvane Desrivières & Herta Flor & Antoine Grigis & Hugh Garavan & Penny Gowl, 2024. "Regional patterns of human cortex development correlate with underlying neurobiology," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    5. Bijwaard, Govert E. & van Kippersluis, Hans & Veenman, Justus, 2015. "Education and health: The role of cognitive ability," Journal of Health Economics, Elsevier, vol. 42(C), pages 29-43.
    6. Samantha Huang & Stephanie Rossi & Matti Hämäläinen & Jyrki Ahveninen, 2014. "Auditory Conflict Resolution Correlates with Medial–Lateral Frontal Theta/Alpha Phase Synchrony," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-13, October.
    7. Haewon Nam & Chongwon Pae & Jinseok Eo & Maeng-Keun Oh & Hae-Jeong Park, 2021. "Inter-species cortical registration between macaques and humans using a functional network property under a spherical demons framework," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-22, October.
    8. Thomas Miconi & Rufin VanRullen, 2016. "A Feedback Model of Attention Explains the Diverse Effects of Attention on Neural Firing Rates and Receptive Field Structure," PLOS Computational Biology, Public Library of Science, vol. 12(2), pages 1-18, February.
    9. Arno Klein & Satrajit S Ghosh & Forrest S Bao & Joachim Giard & Yrjö Häme & Eliezer Stavsky & Noah Lee & Brian Rossa & Martin Reuter & Elias Chaibub Neto & Anisha Keshavan, 2017. "Mindboggling morphometry of human brains," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-40, February.
    10. Ann Hillier & Ryan P Kelly & Terrie Klinger, 2016. "Narrative Style Influences Citation Frequency in Climate Change Science," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-12, December.
    11. J.S. Cramer, 2011. "Childhood Intelligence and Adult Mortality in the Brabant Data Set: First Report," Tinbergen Institute Discussion Papers 11-097/4, Tinbergen Institute.
    12. Manish Saggar & James M. Shine & Raphaël Liégeois & Nico U. F. Dosenbach & Damien Fair, 2022. "Precision dynamical mapping using topological data analysis reveals a hub-like transition state at rest," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    13. Casey Paquola & Reinder Vos De Wael & Konrad Wagstyl & Richard A I Bethlehem & Seok-Jun Hong & Jakob Seidlitz & Edward T Bullmore & Alan C Evans & Bratislav Misic & Daniel S Margulies & Jonathan Small, 2019. "Microstructural and functional gradients are increasingly dissociated in transmodal cortices," PLOS Biology, Public Library of Science, vol. 17(5), pages 1-28, May.
    14. Peter Zhukovsky & Earvin S. Tio & Gillian Coughlan & David A. Bennett & Yanling Wang & Timothy J. Hohman & Diego A. Pizzagalli & Benoit H. Mulsant & Aristotle N. Voineskos & Daniel Felsky, 2024. "Genetic influences on brain and cognitive health and their interactions with cardiovascular conditions and depression," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    15. Tingting Bo & Jie Li & Ganlu Hu & Ge Zhang & Wei Wang & Qian Lv & Shaoling Zhao & Junjie Ma & Meng Qin & Xiaohui Yao & Meiyun Wang & Guang-Zhong Wang & Zheng Wang, 2023. "Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    16. Gustavo Deco & Diego Vidaurre & Morten L. Kringelbach, 2021. "Revisiting the global workspace orchestrating the hierarchical organization of the human brain," Nature Human Behaviour, Nature, vol. 5(4), pages 497-511, April.
    17. Sofie L. Valk & Ting Xu & Casey Paquola & Bo-yong Park & Richard A. I. Bethlehem & Reinder Vos de Wael & Jessica Royer & Shahrzad Kharabian Masouleh & Şeyma Bayrak & Peter Kochunov & B. T. Thomas Yeo , 2022. "Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    18. Thomas Faherty & Huda Badri & Dawei Hu & Aristeidis Voliotis & Francis D. Pope & Ian Mudway & Jacky Smith & Gordon McFiggans, 2024. "HIPTox—Hazard Identification Platform to Assess the Health Impacts from Indoor and Outdoor Air Pollutant Exposures, through Mechanistic Toxicology: A Single-Centre Double-Blind Human Exposure Trial Pr," IJERPH, MDPI, vol. 21(3), pages 1-18, February.
    19. Natalie Weed & Trygve Bakken & Nile Graddis & Nathan Gouwens & Daniel Millman & Michael Hawrylycz & Jack Waters, 2019. "Identification of genetic markers for cortical areas using a Random Forest classification routine and the Allen Mouse Brain Atlas," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-13, September.
    20. Baiwei Liu & Anna C. Nobre & Freek van Ede, 2022. "Functional but not obligatory link between microsaccades and neural modulation by covert spatial attention," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intell:v:63:y:2017:i:c:p:9-28. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.