Cited by 106Functional Brain Connectivity StudiesAutism Spectrum Disorder ResearchAction Observation and Synchronization

Underconnected, but not broken? Dynamic functional connectivity MRI shows underconnectivity in autism is linked to increased intra-individual variability across time

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Falahpour, Maryam, Thompson, Wesley K., Abbott, Angela E., Jahedi, Afrooz, Mulvey, Mark E., Datko, Michael, Liu, Thomas T., Müller, Ralph-Axel·2016·Brain Connectivity

Abstract

Autism spectrum disorder (ASD) is characterized by core sociocommunicative impairments. Atypical intrinsic functional connectivity (iFC) has been reported in numerous studies of ASD. A majority of findings has indicated long-distance underconnectivity. However, fMRI studies have thus far exclusively examined static iFC across several minutes of scanning. We examined temporal variability of iFC, using sliding window analyses in selected high-quality (low-motion) consortium datasets from 76 ASD and 76 matched typically developing (TD) participants (Study 1) and in-house data from 32 ASD and 32 TD participants. Mean iFC and standard deviation of the sliding window correlation (SD-iFC) were computed for regions of interest (ROIs) from default mode and salience networks, as well as amygdala and thalamus. In both studies, ROI pairings with significant underconnectivity (ASD

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  • In 8- to 18-year-olds, reduced static functional connectivity in adolescents with ASD was related to increased temporal variability of the BOLD signal for multiple region-of-interest pairs.

    “The first study of 8–18 year olds focused on the M-FPN, M-CIN, amygdala and thalamus and examined standard deviation of the sliding window correlation, which indicates intra-individual variability over time. For multiple region-of-interest (ROI) pairs, reduced static functional connectivity in adolescents with ASD was related to increased temporal variability of the BOLD signal (113).”

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Authors
Falahpour, M., Thompson, W. K., Abbott, A. E., Jahedi, A., Mulvey, M. E., Datko, M., Liu, T. T., & Müller, R.-A.
Affiliations
  • University of California San Diego (US)
  • San Diego State University (US)
Corresponding author
  • Liu, Thomas T.
  • Müller, Ralph-Axel
Venue
Brain Connectivity
Published
2016-06
Volume
6
Issue
5
Pages
403-414
ISSN
  • 2158-0014 (ISSN-L)
  • 2158-0022
OpenAlex
W2299886504
Cited by
106
References
82
Citations by year
2026: 2 · 2025: 5 · 2024: 4 · 2023: 7 · 2022: 11 · 2021: 16 · 2020: 18 · 2019: 14 · 2018: 16 · 2017: 10 · 2016: 3
FWCI
9.12
Type
journal article
Language
en
Open access
Locations
  • Brain Connectivity (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • National Institute of Mental Health (K01MH097972, R01MH081023, R21MH102578)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
Keywords
autism spectrum disorder, intrinsic functional connectivity, sliding window analysis, default mode network, salience network, amygdala, thalamus, interindividual variability
MeSH terms
Autism Spectrum Disorder, Adolescent, Adult, Amygdala, Autistic Disorder, Brain, Brain Mapping, Cerebral Cortex, Child, Female, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Thalamus, Young Adult, Connectome

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