4.7 Article

Emerging functional connectivity differences in newborn infants vulnerable to autism spectrum disorders

Journal

TRANSLATIONAL PSYCHIATRY
Volume 10, Issue 1, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41398-020-0805-y

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Funding

  1. Wellcome Engineering and Physical Sciences Research Council (EPSRC) Centre for Medical Engineering at King's College London [WT 203148/Z/16/Z]
  2. Medical Research Council (UK) [MR/K006355/1, MR/LO11530/1]
  3. Medical Research Council (MRC) Clinician Scientist Fellowship [MR/P008712/1]
  4. Wellcome Trust Seed Award in Science [217316/Z/19/Z]
  5. Sackler Institute for Translational Neurodevelopment at King's College London
  6. BRAINVIEW European Training Network for Early Stage Researchers
  7. EU-AIMS - a European Innovative Medicines Initiative, developing human connectome project (dHCP) [ERC: 319456]
  8. Wellcome
  9. MRC
  10. MRC [MR/P008712/1, MR/N026063/1] Funding Source: UKRI
  11. Wellcome Trust [217316/Z/19/Z] Funding Source: Wellcome Trust

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Studies in animal models of autism spectrum disorders (ASD) suggest atypical early neural activity is a core vulnerability mechanism which alters functional connectivity and predisposes to dysmaturation of neural circuits. However, underlying biological changes associated to ASD in humans remain unclear. Results from functional connectivity studies of individuals diagnosed with ASD are highly heterogeneous, in part because of complex life-long secondary and/or compensatory events. To minimize these confounds and examine primary vulnerability mechanisms, we need to investigate very early brain development. Here, we tested the hypothesis that brain functional connectivity is altered in neonates who are vulnerable to this condition due to a family history of ASD. We acquired high temporal resolution multiband resting state functional magnetic resonance imaging (fMRI) in newborn infants with and without a first-degree relative with ASD. Differences in local functional connectivity were quantified using regional homogeneity (ReHo) analysis and long-range connectivity was assessed using distance correlation analysis. Neonates who have a first-degree relative with ASD had significantly higher ReHo within multiple resting state networks in comparison to age matched controls; there were no differences in long range connectivity. Atypical local functional activity may constitute a biomarker of vulnerability, that might precede disruptions in long range connectivity reported in older individuals diagnosed with ASD.

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