The DOI matches its Crossref record, with a small difference in title or year; 95 of the 96 references it cites were found in a registry or an index.
Connectivity in Autism: A Review of MRI Connectivity Studies
Open accessAbstract
Autism spectrum disorder (ASD) affects 1 in 50 children between the ages of 6 and 17 years. The etiology of ASD is not precisely known. ASD is an umbrella term, which includes both low- (IQ < 70) and high-functioning (IQ > 70) individuals. A better understanding of the disorder and how it manifests in individual subjects can lead to more effective intervention plans to fulfill the individual's treatment needs.Magnetic resonance imaging (MRI) is a non-invasive investigational tool that can be used to study the ways in which the brain develops or deviates from the typical developmental trajectory. MRI offers insights into the structure, function, and metabolism of the brain. In this article, we review published studies on brain connectivity changes in ASD using either resting state functional MRI or diffusion tensor imaging.The general findings of decreases in white matter integrity and in long-range neural coherence are well known in the ASD literature. Nevertheless, the detailed localization of these findings remains uncertain, and few studies link these changes in connectivity with the behavioral phenotype of the disorder. With the help of data sharing and large-scale analytic efforts, however, the field is advancing toward several convergent themes, including the reduced functional coherence of long-range intra-hemispheric cortico-cortical default mode circuitry, impaired inter-hemispheric regulation, and an associated, perhaps compensatory, increase in local and short-range cortico-subcortical coherence.
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“reduced FA in the dorsal cingulum is also a frequent feature of ASD (Rane et al., 2015; Shukla et al., 2011; Travers et al., 2012; but see Aoki et al., 2013; Table 2).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Rane et al., 2015
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“though other studies have failed to find clear cingulum correlations (Rane et al., 2015).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Rane et al., 2015
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“Overall, there is a recurrent pattern of reduced FA and increased diffusivity, consistent with altered development (Ameis and Catani, 2015; Rane et al., 2015; Travers et al., 2012).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Rane et al., 2015
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“reduced frontal and posterior cingulate interconnectivity, as measured from resting state fMRI, is one the most reported effects (Rane et al., 2015)”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Rane et al., 2015
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Cites
Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970
Di Martino, A., Yan, C.-G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., Anderson, J. S., Assaf, M., Bookheimer, S. Y., Dapretto, M., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.78 · Cited by 2,780
Self-citationVan Dijk, K. R. A., Hedden, T., Venkataraman, A., Evans, K. C., Lazar, S. W., & Buckner, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00783.2009 · Cited by 1,844
Principles of diffusion tensor imaging and its applications to basic neuroscience research
Mori, S., & Zhang, J. (2006) · Neuron · doi:10.1016/j.neuron.2006.08.012 · Cited by 1,708
Autism From 2 to 9 Years of Age
Lord, C., Risi, S., DiLavore, P. S., Shulman, C., Thurm, A., & Pickles, A. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.6.694 · Cited by 973 · cited 1×
“Inmost cases, the initial behavioral signs of ASD present as early as 12 to 24 months of age.(6,7) The differences between ASD infants and normal infants in the first year of development, however, are not very apparent.”
BackgroundWillsey, A. J., Sanders, S. J., Li, M., Dong, S., Tebbenkamp, A. T., Muhle, R. A., Reilly, S. K., Lin, L., Fertuzinhos, S., Miller, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.10.020 · Cited by 934
Mapping early brain development in autism
Courchesne, E., Pierce, K., Schumann, C. M., Redcay, E., Buckwalter, J. A., Kennedy, D. P., & Morgan, J. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.016 · Cited by 860
Self-citationBlumberg, S. J., Bramlett, M. D., Kogan, M. D., Schieve, L. A., Jones, J. R., & Lu, M. C. (2013) · PubMed · Cited by 726
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Sorted by citations
Lord, C., Elsabbagh, M., Baird, G., & Veenstra-Vanderweele, J. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31129-2 · Cited by 2,819
The cingulum bundle: Anatomy, function, and dysfunction
Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.008 · Cited by 740
“Furthermore, as reduced frontal and posterior cingulate interconnectivity, as measured from resting state fMRI, is one the most reported effects (Rane et al., 2015), it should be no surprise that reduced FA in the dorsal cingulum is also a frequent feature of ASD (Rane et al.”
InfluentialDeriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
Abraham, A., Milham, M. P., Di Martino, A., Craddock, R. C., Samaras, D., Thirion, B., & Varoquaux, G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.045 · Cited by 701
Is functional brain connectivity atypical in autism? A systematic review of EEG and MEG studies
O’Reilly, C., Lewis, J. D., & Elsabbagh, M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175870 · Cited by 415
Horder, J., Petrinovic, M. M., Méndez, M. A., Bruns, A., Takumi, T., Spooren, W. P. J. M., Barker, G. J., Künnecke, B., & Murphy, D. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0155-1 · Cited by 321
Metadata
- Authors
- Rane, P., Cochran, D., Hodge, S. M., Haselgrove, C., Kennedy, D. N., & Frazier, J. A.
- Affiliations
- University of Massachusetts Chan Medical School (US)
- Corresponding author
- Kennedy, David N.
- ORCID
- Venue
- Harvard Review of Psychiatry
- Published
- 2015-07
- Volume
- 23
- Issue
- 4
- Pages
- 223-244
- ISSN
- 1067-3229 (ISSN-L)
- PMC
- PMC5083037
- OpenAlex
- W2292351724
- Cited by
- 234
- References
- 96
- Citations by year
- 2026: 10 · 2025: 15 · 2024: 21 · 2023: 21 · 2022: 25 · 2021: 29 · 2020: 35 · 2019: 20 · 2018: 19 · 2017: 27 · 2016: 9 · 2015: 3
- FWCI
- 1.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Harvard Review of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH083320)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P30HD004147)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- autism spectrum disorder, brain connectivity, resting-state fMRI, diffusion tensor imaging, white matter integrity, default mode network, behavioral phenotypes, brain development
- MeSH terms
- Autism Spectrum Disorder, Humans, Magnetic Resonance Imaging, Diffusion Tensor Imaging, White Matter
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