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Functional alignment with anatomical networks is associated with cognitive flexibility

Author

Listed:
  • John D. Medaglia

    (Drexel University
    University of Pennsylvania)

  • Weiyu Huang

    (University of Pennsylvania)

  • Elisabeth A. Karuza

    (University of Pennsylvania)

  • Apoorva Kelkar

    (Drexel University)

  • Sharon L. Thompson-Schill

    (University of Pennsylvania)

  • Alejandro Ribeiro

    (University of Pennsylvania)

  • Danielle S. Bassett

    (University of Pennsylvania
    University of Pennsylvania)

Abstract

Cognitive flexibility describes the human ability to switch between modes of mental function to achieve goals. Mental switching is accompanied by transient changes in brain activity, which must occur atop an anatomical architecture that bridges disparate cortical and subcortical regions via underlying white matter tracts. However, an integrated understanding of how white matter networks might constrain brain dynamics during cognitive processes requiring flexibility has remained elusive. Here, to address this challenge, we applied emerging tools from graph signal processing to examine whether blood oxygen level-dependent signals measured at each point in time correspond to complex underlying anatomical networks in 28 individuals performing a perceptual task that probed cognitive flexibility. We found that the alignment between functional signals and the architecture of the underlying white matter network was associated with greater cognitive flexibility across subjects. By computing a concise measure using multi-modal neuroimaging data, we uncovered an integrated structure–function relation of human behaviour.

Suggested Citation

  • John D. Medaglia & Weiyu Huang & Elisabeth A. Karuza & Apoorva Kelkar & Sharon L. Thompson-Schill & Alejandro Ribeiro & Danielle S. Bassett, 2018. "Functional alignment with anatomical networks is associated with cognitive flexibility," Nature Human Behaviour, Nature, vol. 2(2), pages 156-164, February.
  • Handle: RePEc:nat:nathum:v:2:y:2018:i:2:d:10.1038_s41562-017-0260-9
    DOI: 10.1038/s41562-017-0260-9
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    Cited by:

    1. Jie Xia & Cirong Liu & Jiao Li & Yao Meng & Siqi Yang & Huafu Chen & Wei Liao, 2024. "Decomposing cortical activity through neuronal tracing connectome-eigenmodes in marmosets," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Yaqian Yang & Zhiming Zheng & Longzhao Liu & Hongwei Zheng & Yi Zhen & Yi Zheng & Xin Wang & Shaoting Tang, 2023. "Enhanced brain structure-function tethering in transmodal cortex revealed by high-frequency eigenmodes," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    3. Panagiotis Fotiadis & Matthew Cieslak & Xiaosong He & Lorenzo Caciagli & Mathieu Ouellet & Theodore D. Satterthwaite & Russell T. Shinohara & Dani S. Bassett, 2023. "Myelination and excitation-inhibition balance synergistically shape structure-function coupling across the human cortex," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    4. Evan Collins & Omar Chishti & Sami Obaid & Hari McGrath & Alex King & Xilin Shen & Jagriti Arora & Xenophon Papademetris & R. Todd Constable & Dennis D. Spencer & Hitten P. Zaveri, 2024. "Mapping the structure-function relationship along macroscale gradients in the human brain," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

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