Dynamic lag analysis reveals atypical brain information flow in autism spectrum disorder. Issue 2 (22nd October 2019)

• Record Type: Journal Article
• Authors: Raatikainen, Ville; Korhonen, Vesa; Borchardt, Viola; Huotari, Niko; Helakari, Heta; Kananen, Janne; Raitamaa, Lauri; Joskitt, Leena; Loukusa, Soile; Hurtig, Tuula; Ebeling, Hanna; Uddin, Lucina Q.; Kiviniemi, Vesa
• Is Part Of: Autism research. Volume 13:Issue 2(2020)
• Page Start: 244
• Page End: 258
• Publication Date: 2019-10-22
• Subjects: dynamic lag analysis -- MREG -- resting state fMRI -- lag pattern -- ASD -- human brain; Autism -- Periodicals; Autism -- Research -- Periodicals; 616.85882005
• DOI: 10.1002/aur.2218
• Languages: English
• ISSNs: 1939-3792

Abstract

Abstract : 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 . © 2019 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc. Lay Summary: Autism spectrum disorder (ASD) is characterized by atypical neurodevelopment. Using an ultra‐fast neuroimaging procedure, we investigated communication across brain regions in adults with ASD compared with neurotypical (NT) individuals. We found that ASD individuals had altered information flow patterns across brain regions. Atypical patterns were concentrated in salience, executive, visual, and default‐mode network areas of the brain that have previously been implicated in the pathophysiology of the disorder.