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Amplitude of low frequency fluctuations during resting state fMRI in autistic children. | LitMetric

Amplitude of low frequency fluctuations during resting state fMRI in autistic children.

Autism Res

Department of Psychology & The Center for Innovative Research in Autism, University of Alabama, Tuscaloosa, Alabama, USA.

Published: January 2023

AI Article Synopsis

  • Resting state fMRI (rs-fMRI) is a powerful tool for studying brain activity, particularly through measures like amplitude of low frequency fluctuations (ALFF) and fractional ALFF (fALFF), but these measures have rarely been applied to autism research.
  • The study analyzed rs-fMRI data from 69 children (40 with autism and 29 non-autistic) to compare ALFF and fALFF values and found that autistic children had significantly reduced ALFF in specific brain areas, indicating different functioning patterns.
  • Results suggest that age influences ALFF in autistic participants and highlight potential implications for cognitive functioning due to altered brain network responses in autism, particularly in key networks like the Default Mode Network (DMN) and Sal

Article Abstract

Resting state fMRI (rs-fMRI) provides an excellent platform for examining the amplitude of low frequency fluctuations (ALFF) and fractional amplitude of low frequency fluctuations (fALFF), which are key indices of brain functioning. However, ALFF and fALFF have been used only sporadically to study autism. rs-fMRI data from 69 children (40 autistic, mean age = 8.47 ± 2.20 years; age range: 5.2 to 13.2; and 29 non-autistic, mean age = 9.02 ± 1.97 years; age range 5.9 to 12.9) were obtained from the Autism Brain Imaging Data Exchange (ABIDE II). ALFF and fALFF were measured using CONN connectivity toolbox and SPM12, at whole-brain & network-levels. A two-sampled t-test and a 2 Group (autistic, non-autistic) × 7 Networks ANOVA were conducted to test group differences in ALFF and fALFF. The whole-brain analysis identified significantly reduced ALFF values for autistic participants in left parietal opercular cortex, precuneus, and right insula. At the network level, there was a significant effect of diagnostic group and brain network on ALFF values, and only significant effect of network, not group, on fALFF values. Regression analyses indicated a significant effect of age on ALFF values of certain networks in autistic participants. Such intrinsically different network-level responses in autistic participants may have implications for task-level recruitment and synchronization of brain areas, which may in turn impact optimal cognitive functioning. Moreover, differences in low frequency fluctuations of key networks, such as the DMN and SN, may underlie alterations in brain responses in autism that are frequently reported in the literature.

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Source
http://dx.doi.org/10.1002/aur.2846DOI Listing

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