Dynamic lag analysis reveals atypical brain information flow in autism spectrum disorder

Ville Raatikainen, Vesa Korhonen, Viola Borchardt, Niko Huotari, Heta Helakari, Janne Kananen, Lauri Raitamaa, Leena Joskitt, Soile Loukusa, Tuula Hurtig, Hanna Ebeling, Lucina Q. Uddin, Vesa Kiviniemi

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


This study investigated whole-brain dynamic lag pattern variations between neurotypical (NT) individuals and individuals with autism spectrum disorder (ASD) by applying a novel technique called dynamic lag analysis (DLA). The use of 3D magnetic resonance encephalography data with repetition time = 100 msec enables highly accurate analysis of the spread of activity between brain networks. Sixteen resting-state networks (RSNs) with the highest spatial correlation between NT individuals (n = 20) and individuals with ASD (n = 20) were analyzed. The dynamic lag pattern variation between each RSN pair was investigated using DLA, which measures time lag variation between each RSN pair combination and statistically defines how these lag patterns are altered between ASD and NT groups. DLA analyses indicated that 10.8% of the 120 RSN pairs had statistically significant (P-value <0.003) dynamic lag pattern differences that survived correction with surrogate data thresholding. Alterations in lag patterns were concentrated in salience, executive, visual, and default-mode networks, supporting earlier findings of impaired brain connectivity in these regions in ASD. 92.3% and 84.6% of the significant RSN pairs revealed shorter mean and median temporal lags in ASD versus NT, respectively. Taken together, these results suggest that altered lag patterns indicating atypical spread of activity between large-scale functional brain networks may contribute to the ASD phenotype. Autism Res 2020, 13: 244–258.

Original languageEnglish (US)
Pages (from-to)244-258
Number of pages15
JournalAutism Research
Issue number2
StatePublished - Feb 1 2020


  • ASD
  • MREG
  • dynamic lag analysis
  • human brain
  • lag pattern
  • resting state fMRI

ASJC Scopus subject areas

  • Neuroscience(all)
  • Clinical Neurology
  • Genetics(clinical)


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