Cited by 680Functional Brain Connectivity StudiesAutism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

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Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients

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Assaf, Michal, Jagannathan, Kanchana, Calhoun, Vince D., Miller, Laura, Stevens, Michael C., Sahl, Robert, O'Boyle, Jacqueline G., Schultz, Robert T., Pearlson, Godfrey D.·2010·NeuroImage

DOI 10.1016/j.neuroimage.2010.05.067PMC PMC3058935

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Abstract

Autism spectrum disorders (ASDs) are characterized by deficits in social and communication processes. Recent data suggest that altered functional connectivity (FC), i.e. synchronous brain activity, might contribute to these deficits. Of specific interest is the FC integrity of the default mode network (DMN), a network active during passive resting states and cognitive processes related to social deficits seen in ASD, e.g. Theory of Mind. We investigated the role of altered FC of default mode sub-networks (DM-SNs) in 16 patients with high-functioning ASD compared to 16 matched healthy controls of short resting fMRI scans using independent component analysis (ICA). ICA is a multivariate data-driven approach that identifies temporally coherent networks, providing a natural measure of FC. Results show that compared to controls, patients showed decreased FC between the precuneus and medial prefrontal cortex/anterior cingulate cortex, DMN core areas, and other DM-SNs areas. FC magnitude in these regions inversely correlated with the severity of patients' social and communication deficits as measured by the Autism Diagnostic Observational Schedule and the Social Responsiveness Scale. Importantly, supplemental analyses suggest that these results were independent of treatment status. These results support the hypothesis that DM-SNs under-connectivity contributes to the core deficits seen in ASD. Moreover, these data provide further support for the use of data-driven analysis with resting-state data for illuminating neural systems that differ between groups. This approach seems especially well suited for populations where compliance with and performance of active tasks might be a challenge, as it requires minimal cooperation.

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Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
Autism Diagnostic Interview-Revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders
Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
The Autism Diagnostic Observation Schedule—Generic: A Standard Measure of Social and Communication Deficits Associated with the Spectrum of Autism
Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., & Rutter, M. (2000) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1005592401947 · Cited by 7,520
The precuneus: a review of its functional anatomy and behavioural correlates
Cavanna, A. E., & Trimble, M. R. (2006) · Brain · doi:10.1093/brain/awl004 · Cited by 5,128
An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets
Maldjian, J. A., Laurienti, P. J., Kraft, R., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,066
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326

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Zhang, Q., Shen, J., Wu, J., Xiao, Y., Lou, W., Fan, H., Shi, L., & Wang, D. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.10.013 · Cited by 27
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Cheah, P., & Looi, L. (1999) · PubMed · Cited by 24
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Fine-scale functional connectivity in somatosensory cortex revealed by high-resolution fMRI
Chen, L., Mishra, A., Newton, A. T., Morgan, V. L., Stringer, E. A., Rogers, B. P., & Gore, J. C. (2011) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2011.08.001 · Cited by 23
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Xiao, Z., Wang, C., Jia, N., & Wu, J. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-5625-1 · Cited by 24
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Authors: Assaf, M., Jagannathan, K., Calhoun, V. D., Miller, L., Stevens, M. C., Sahl, R., O'Boyle, J. G., Schultz, R. T., & Pearlson, G. D.
Affiliations: Hartford Hospital (US)
Children's Hospital of Philadelphia (US)
Corresponding author: Assaf, Michal
ORCID: Assaf, Michal
Jagannathan, Kanchana
Calhoun, Vince D.
Stevens, Michael C.
Schultz, Robert T.
Pearlson, Godfrey D.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2010-10
Volume: 53
Issue: 1
Pages: 247-256
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2010.05.067
PMC: PMC3058935
OpenAlex: W2063167566
Cited by: 680
References: 71
Citations by year: 2026: 28 · 2025: 37 · 2024: 33 · 2023: 28 · 2022: 39 · 2021: 52 · 2020: 52 · 2019: 60 · 2018: 53 · 2017: 39 · 2016: 41 · 2015: 47 · 2014: 47 · 2013: 46 · 2012: 43
FWCI: 23.60
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: Autism Speaks
National Institute of Biomedical Imaging and Bioengineering (R01EB000840, R01EB020407, R01EB006841)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
Keywords: autism spectrum disorder, default mode network, functional connectivity, resting-state fMRI, independent component analysis, precuneus, medial prefrontal cortex, anterior cingulate cortex, theory of mind, high-functioning autism
MeSH terms: Adolescent, Brain, Child, Child Development Disorders, Pervasive, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Neural Pathways, Sensitivity and Specificity, Reproducibility of Results, Young Adult

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Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients

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