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Cited by 228

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Heterogeneity within Autism Spectrum Disorders: What have We Learned from Neuroimaging Studies?

Open access
Lenroot, Rhoshel K., Yeung, Pui Ka·2013·Frontiers in Human Neuroscience

Abstract

Autism spectrum disorders (ASD) display significant heterogeneity. Although most neuroimaging studies in ASD have been designed to identify commonalities among affected individuals, rather than differences, some studies have explored variation within ASD. There have been two general types of approaches used for this in the neuroimaging literature to date: comparison of subgroups within ASD, and analyses using dimensional measures to link clinical variation to brain differences. This review focuses on structural and functional magnetic resonance imaging studies that have used these approaches to begin to explore heterogeneity between individuals with ASD. Although this type of data is yet sparse, recognition is growing of the limitations of behaviorally defined categorical diagnoses for understanding neurobiology. Study designs that are more informative regarding the sources of heterogeneity in ASD have the potential to improve our understanding of the neurobiological processes underlying ASD.

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Metadata

Authors
Lenroot, R. K., & Yeung, P. K.
Venue
Frontiers in Human Neuroscience
Published
2013
Volume
7
Pages
733-733
ISSN
1662-5161 (ISSN-L)
OpenAlex
W2021466515
Cited by
228
References
63
FWCI
8.75
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Heterogeneity within Autism Spectrum Disorders: What have We Learned from Neuroimaging Studies? https://app.cochat.ai/papers/10.3389/fnhum.2013.00733
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Lenroot, R. K., & Yeung, P. K. (2013). Heterogeneity within Autism Spectrum Disorders: What have We Learned from Neuroimaging Studies? Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2013.00733

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.