Methods for decoding cortical gradients of functional connectivity Article

Peraza, Julio A, Salo, Taylor, Riedel, Michael C et al. (2024). Methods for decoding cortical gradients of functional connectivity . 2 26-32. 10.1162/imag_a_00081

cited authors

  • Peraza, Julio A; Salo, Taylor; Riedel, Michael C; Bottenhorn, Katherine L; Poline, Jean-Baptiste; Dockes, Jerome; Kent, James D; Bartley, Jessica E; Flannery, Jessica S; Hill-Bowen, Lauren D; Lobo, Rosario Pintos; Poudel, Ranjita; Ray, Kimberly L; Robinson, Jennifer L; Laird, Robert W; Sutherland, Matthew T; de la Vega, Alejandro; Laird, Angela R

authors

publication date

  • February 2, 2024

keywords

  • ACTIVATION
  • BEHAVIOR
  • CORTEX
  • DEFAULT-MODE NETWORK
  • HETEROGENEITY
  • INDEPENDENT COMPONENT ANALYSIS
  • Life Sciences & Biomedicine
  • METAANALYSIS
  • NEUROIMAGING DATA
  • Neuroimaging
  • Neurosciences
  • Neurosciences & Neurology
  • PARCELLATION
  • SUBSPECIALIZATION
  • Science & Technology
  • fMRI
  • functional connectivity
  • functional decoding
  • gradients
  • meta-analysis
  • meta-analytic decoding

Digital Object Identifier (DOI)

publisher

  • MIT PRESS

start page

  • 26

end page

  • 32

volume

  • 2