Network homogeneity reveals decreased integrity of default-mode network in ADHD

  • Lucina Q. Uddin
  • , A. M.Clare Kelly
  • , Bharat B. Biswal
  • , Daniel S. Margulies
  • , Zarrar Shehzad
  • , David Shaw
  • , Manely Ghaffari
  • , John Rotrosen
  • , Lenard A. Adler
  • , F. Xavier Castellanos
  • , Michael P. Milham

Research output: Contribution to journalArticlepeer-review

384 Scopus citations

Abstract

Examination of spontaneous intrinsic brain activity is drawing increasing interest, thus methods for such analyses are rapidly evolving. Here we describe a novel measure, "network homogeneity", that allows for assessment of cohesiveness within a specified functional network, and apply it to resting-state fMRI data from adult ADHD and control participants. We examined the default mode network, a medial-wall based network characterized by high baseline activity that decreases during attention-demanding cognitive tasks. We found reduced network homogeneity within the default mode network in ADHD subjects compared to age-matched controls, particularly between the precuneus and other default mode network regions. This confirms previously published results using seed-based functional connectivity measures, and provides further evidence that altered precuneus connectivity is involved in the neuropathology of ADHD. Network homogeneity provides a potential alternative method for assessing functional connectivity of specific large-scale networks in clinical populations.

Original languageEnglish (US)
Pages (from-to)249-254
Number of pages6
JournalJournal of Neuroscience Methods
Volume169
Issue number1
DOIs
StatePublished - Mar 30 2008
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Neuroscience

Keywords

  • Attention
  • Attention-deficit/hyperactivity disorder
  • Functional connectivity
  • Posterior cingulate
  • Precuneus
  • Resting state networks
  • fMRI

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