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Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence

Author

Listed:
  • Erhan Genç

    (Ruhr University Bochum)

  • Christoph Fraenz

    (Ruhr University Bochum)

  • Caroline Schlüter

    (Ruhr University Bochum)

  • Patrick Friedrich

    (Ruhr University Bochum)

  • Rüdiger Hossiep

    (Ruhr University Bochum)

  • Manuel C. Voelkle

    (Humboldt University Berlin)

  • Josef M. Ling

    (The Mind Research Network/Lovelace Biomedical and Environmental Research Institute)

  • Onur Güntürkün

    (Ruhr University Bochum
    Wallenberg Research Centre at Stellenbosch University)

  • Rex E. Jung

    (University of New Mexico)

Abstract

Previous research has demonstrated that individuals with higher intelligence are more likely to have larger gray matter volume in brain areas predominantly located in parieto-frontal regions. These findings were usually interpreted to mean that individuals with more cortical brain volume possess more neurons and thus exhibit more computational capacity during reasoning. In addition, neuroimaging studies have shown that intelligent individuals, despite their larger brains, tend to exhibit lower rates of brain activity during reasoning. However, the microstructural architecture underlying both observations remains unclear. By combining advanced multi-shell diffusion tensor imaging with a culture-fair matrix-reasoning test, we found that higher intelligence in healthy individuals is related to lower values of dendritic density and arborization. These results suggest that the neuronal circuitry associated with higher intelligence is organized in a sparse and efficient manner, fostering more directed information processing and less cortical activity during reasoning.

Suggested Citation

  • Erhan Genç & Christoph Fraenz & Caroline Schlüter & Patrick Friedrich & Rüdiger Hossiep & Manuel C. Voelkle & Josef M. Ling & Onur Güntürkün & Rex E. Jung, 2018. "Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04268-8
    DOI: 10.1038/s41467-018-04268-8
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    Cited by:

    1. 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).
    2. Hilger, Kirsten & Spinath, Frank M. & Troche, Stefan & Schubert, Anna-Lena, 2022. "The biological basis of intelligence: Benchmark findings," Intelligence, Elsevier, vol. 93(C).
    3. Drakulich, Stefan & Sitartchouk, Arseni & Olafson, Emily & Sarhani, Reda & Thiffault, Anne-Charlotte & Chakravarty, Mallar & Evans, Alan C. & Karama, Sherif, 2022. "General cognitive ability and pericortical contrast," Intelligence, Elsevier, vol. 91(C).
    4. Protzko, John & Colom, Roberto, 2021. "A new beginning of intelligence research. Designing the playground," Intelligence, Elsevier, vol. 87(C).

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