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Test-retest reliability and predictive utility of a macroscale principal functional connectivity gradient.

Publication ,  Journal Article
Knodt, AR; Elliott, ML; Whitman, ET; Winn, A; Addae, A; Ireland, D; Poulton, R; Ramrakha, S; Caspi, A; Moffitt, TE; Hariri, AR
Published in: Human brain mapping
December 2023

Mapping individual differences in brain function has been hampered by poor reliability as well as limited interpretability. Leveraging patterns of brain-wide functional connectivity (FC) offers some promise in this endeavor. In particular, a macroscale principal FC gradient that recapitulates a hierarchical organization spanning molecular, cellular, and circuit level features along a sensory-to-association cortical axis has emerged as both a parsimonious and interpretable measure of individual differences in behavior. However, the measurement reliabilities of this FC gradient have not been fully evaluated. Here, we assess the reliabilities of both global and regional principal FC gradient measures using test-retest data from the young adult Human Connectome Project (HCP-YA) and the Dunedin Study. Analyses revealed that the reliabilities of principal FC gradient measures were (1) consistently higher than those for traditional edge-wise FC measures, (2) higher for FC measures derived from general FC (GFC) in comparison with resting-state FC, and (3) higher for longer scan lengths. We additionally examined the relative utility of these principal FC gradient measures in predicting cognition and aging in both datasets as well as the HCP-aging dataset. These analyses revealed that regional FC gradient measures and global gradient range were significantly associated with aging in all three datasets, and moderately associated with cognition in the HCP-YA and Dunedin Study datasets, reflecting contractions and expansions of the cortical hierarchy, respectively. Collectively, these results demonstrate that measures of the principal FC gradient, especially derived using GFC, effectively capture a reliable feature of the human brain subject to interpretable and biologically meaningful individual variation, offering some advantages over traditional edge-wise FC measures in the search for brain-behavior associations.

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Published In

Human brain mapping

DOI

EISSN

1097-0193

ISSN

1065-9471

Publication Date

December 2023

Volume

44

Issue

18

Start / End Page

6399 / 6417

Related Subject Headings

  • Young Adult
  • Reproducibility of Results
  • Magnetic Resonance Imaging
  • Humans
  • Experimental Psychology
  • Connectome
  • Cognition
  • Brain
  • 5204 Cognitive and computational psychology
  • 5202 Biological psychology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Knodt, A. R., Elliott, M. L., Whitman, E. T., Winn, A., Addae, A., Ireland, D., … Hariri, A. R. (2023). Test-retest reliability and predictive utility of a macroscale principal functional connectivity gradient. Human Brain Mapping, 44(18), 6399–6417. https://doi.org/10.1002/hbm.26517
Knodt, Annchen R., Maxwell L. Elliott, Ethan T. Whitman, Alex Winn, Angela Addae, David Ireland, Richie Poulton, et al. “Test-retest reliability and predictive utility of a macroscale principal functional connectivity gradient.Human Brain Mapping 44, no. 18 (December 2023): 6399–6417. https://doi.org/10.1002/hbm.26517.
Knodt AR, Elliott ML, Whitman ET, Winn A, Addae A, Ireland D, et al. Test-retest reliability and predictive utility of a macroscale principal functional connectivity gradient. Human brain mapping. 2023 Dec;44(18):6399–417.
Knodt, Annchen R., et al. “Test-retest reliability and predictive utility of a macroscale principal functional connectivity gradient.Human Brain Mapping, vol. 44, no. 18, Dec. 2023, pp. 6399–417. Epmc, doi:10.1002/hbm.26517.
Knodt AR, Elliott ML, Whitman ET, Winn A, Addae A, Ireland D, Poulton R, Ramrakha S, Caspi A, Moffitt TE, Hariri AR. Test-retest reliability and predictive utility of a macroscale principal functional connectivity gradient. Human brain mapping. 2023 Dec;44(18):6399–6417.
Journal cover image

Published In

Human brain mapping

DOI

EISSN

1097-0193

ISSN

1065-9471

Publication Date

December 2023

Volume

44

Issue

18

Start / End Page

6399 / 6417

Related Subject Headings

  • Young Adult
  • Reproducibility of Results
  • Magnetic Resonance Imaging
  • Humans
  • Experimental Psychology
  • Connectome
  • Cognition
  • Brain
  • 5204 Cognitive and computational psychology
  • 5202 Biological psychology