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Cited by 153Functional Brain Connectivity StudiesAutism Spectrum Disorder ResearchMental Health Research Topics

The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.

A Shift to Randomness of Brain Oscillations in People with Autism

Lai, Meng-Chuan, Lombardo, Michael V., Chakrabarti, Bhismadev, Sadek, Susan A., Pasco, Greg, Wheelwright, Sally J., Bullmore, Edward T., Baron-Cohen, Simon, Suckling, John·2010·Biological Psychiatry
DOI 10.1016/j.biopsych.2010.06.027
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Abstract

Background Resting-state functional magnetic resonance imaging (fMRI) enables investigation of the intrinsic functional organization of the brain. Fractal parameters such as the Hurst exponent, H, describe the complexity of endogenous low-frequency fMRI time series on a continuum from random (H = .5) to ordered (H = 1). Shifts in fractal scaling of physiological time series have been associated with neurological and cardiac conditions.Methods Resting-state fMRI time series were recorded in 30 male adults with an autism spectrum condition (ASC) and 33 age- and IQ-matched male volunteers. The Hurst exponent was estimated in the wavelet domain and between-group differences were investigated at global and voxel level and in regions known to be involved in autism.Results Complex fractal scaling of fMRI time series was found in both groups but globally there was a significant shift to randomness in the ASC (mean H = .758, SD = .045) compared with neurotypical volunteers (mean H = .788, SD = .047). Between-group differences in H, which was always reduced in the ASC group, were seen in most regions previously reported to be involved in autism, including cortical midline structures, medial temporal structures, lateral temporal and parietal structures, insula, amygdala, basal ganglia, thalamus, and inferior frontal gyrus. Severity of autistic symptoms was negatively correlated with H in retrosplenial and right anterior insular cortex.Conclusions Autism is associated with a small but significant shift to randomness of endogenous brain oscillations. Complexity measures may provide physiological indicators for autism as they have done for other medical conditions.

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  1. Lombardo MV, Baron-Cohen S, Belmonte MK, Chakrabarti B (in press): Neural endophenotypes for social behaviour in autism spectrum conditions. In: Decety J, Cacioppo J, editors. Handbook of Social Neuroscience. Oxford, UK: Oxford University Press.

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Metadata

Authors
Lai, M.-C., Lombardo, M. V., Chakrabarti, B., Sadek, S. A., Pasco, G., Wheelwright, S. J., Bullmore, E. T., Baron-Cohen, S., & Suckling, J.
Affiliations
University of Cambridge (GB)
Corresponding author
Lai, Meng-Chuan
ORCID
Venue
Biological Psychiatry
Publisher
Elsevier BV
Published
2010-12
Volume
68
Issue
12
Pages
1092-1099
ISSN
0006-3223 (ISSN-L)
DOI
10.1016/j.biopsych.2010.06.027
OpenAlex
W2091912373
Cited by
153
References
110
Citations by year
2026: 5 · 2025: 7 · 2024: 2 · 2023: 9 · 2022: 7 · 2021: 8 · 2020: 9 · 2019: 9 · 2018: 8 · 2017: 14 · 2016: 10 · 2015: 8 · 2014: 8 · 2013: 22 · 2012: 18
FWCI
9.31
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Biological Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion)
Funders
  • Cambridge Overseas Trust
  • Medical Research Council
  • Girton College, University of Cambridge
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
autism spectrum disorder, Hurst exponent, fractal scaling, resting-state fMRI, neural oscillations, wavelet analysis, autism severity, anterior insula, retrosplenial cortex, cortical midline structures
MeSH terms
Adult, Autistic Disorder, Brain, Humans, Magnetic Resonance Imaging, Male, Fractals, Nonlinear Dynamics, Brain Waves

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