Cited by 483Autism Spectrum Disorder ResearchFunctional Brain Connectivity StudiesGenetics and Neurodevelopmental Disorders

The DOI matches its Crossref record; 99 of the 100 references it cites were found in a registry or an index; 7 of the 96 sources its claims cite were checked for support.

Aberrant Striatal Functional Connectivity in Children with Autism

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Di Martino, Adriana, Kelly, Clare, Grzadzinski, Rebecca, Zuo, Xi-Nian, Mennes, Maarten, Mairena, Maria Angeles, Lord, Catherine, Castellanos, F. Xavier, Milham, Michael P.·2011·Biological Psychiatry

Abstract

Background Models of Autism Spectrum Disorders (ASD) as neural dysconnection syndromes have been predominantly supported by examinations of abnormalities in cortico-cortical networks in adults with autism. A broader body of research implicates subcortical structures, particularly the striatum, in the physiopathology of autism. Resting state fMRI has revealed detailed maps of striatal circuitry in healthy and psychiatric populations, and vividly captured maturational changes in striatal circuitry during typical development. Methods Using resting state fMRI, we examined striatal functional connectivity in 20 children with ASD and 20 typically developing children (TDC) between the age of 7.6 and 13.5 years. Whole-brain voxel-wise statistical maps quantified within-group striatal FC and between-group differences for three caudate and three putamen seeds, for each hemisphere. Results Children with ASD mostly exhibited prominent patterns of ectopic striatal functional connectivity (i.e., functional connectivity present in ASD but not in TDC), with increased functional connectivity between nearly all striatal subregions and heteromodal associative and limbic cortex previously implicated in the physiopathology of ASD (e.g., insular and right superior temporal gyrus). Additionally, we found striatal functional hyperconnectivity with the pons, thus expanding the scope of functional alterations implicated in ASD. Secondary analyses revealed ASD-related hyperconnectivity between the pons and insular cortex. Conclusions Examination of functional connectivity of striatal networks in children with ASD revealed abnormalities in circuits involving early developing areas such as the brainstem and insula, with a pattern of increased functional connectivity in ectopic circuits that likely reflects developmental derangement rather than immaturity of functional circuits.

Overview

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TL;DR

In 20 children with ASD and 20 typically developing children (TDC) aged 7.6–13.5 years, resting-state fMRI showed predominantly ectopic striatal functional connectivity in ASD, with increased connectivity between nearly all striatal subregions and heteromodal associative/limbic cortex plus striatal hyperconnectivity with the pons. Secondary analyses found ASD-related pons–insula hyperconnectivity, and symptom correlations with restrictive repetitive behavior scores were tentative and did not survive Bonferroni correction.

Key findings

  • Children with ASD showed stronger and more diffuse striatal FC with heteromodal associative and limbic cortex; examples included right VSi–right STG/right mid-insula, left VSs–left central operculum, and right vrP–right STG/planum temporale. Left VSi–left supramarginal gyrus was positively connected in TDC but negatively connected in ASD.
  • Dorsal caudate findings included ASD-related positive FC with regions negatively correlated with DC in TDC: right DC–left temporal fusiform gyrus and left DC–bilateral supramarginal gyrus.
  • Putamen/brainstem findings included strong correlation between both right dorsal putamen seeds and the pons in ASD; right dcP also extended to right parahippocampal gyrus and hippocampus, and left dcP was more correlated with right temporal-occipital fusiform gyrus. Right vrP showed the one ASD-related hypoconnectivity finding, with left lateral occipital cortex.
  • In 17 children with research-reliable ADOS scores, RRB scores correlated with right vrP/right STG FC (partial r(13)=0.69, p=0.005) and right dcP/right pons FC (partial r(13)=−0.64, p=0.011), but these did not survive Bonferroni correction (p<0.004). Age-sensitive analyses suggested ectopic FC rather than delayed development for nearly all aberrant circuits except right VSi.

Methods

  • Twenty children with ASD (after excluding 6 of 26 for excessive movement) and 20 TDC, aged 7.6–13.5 years, were group-matched for age, sex, estimated IQ, and handedness; diagnoses were supported by ADI-R/ADOS and DSM-IV-TR. Secondary analyses included 35 adults (mean age 28.4±8.5 years) from a previous study.
  • Resting-state fMRI acquisition was 6 min 38 s, 197 EPI volumes, 3.0 Tesla, TR=2000 ms, TE=25 ms, 39 slices, 3 mm³ voxels; preprocessing used AFNI and FSL, with displacement <2.5 mm/2.5°, nuisance regression, and MNI152 normalization.
  • Seed-based FC used six striatal seeds (VSi, VSs, DC, dcP, drP, vrP) per hemisphere (12 seeds total), whole-brain voxel-wise correlations, Fisher r-to-z transformation, and group-level ordinary least squares covarying age and full-scale IQ; cluster correction used min Z>2.3, p<0.05 corrected. Secondary TDC vs. typical adult comparisons covaried age and sex.

Limitations

  • Stated in the paper: sample size was on par with ASD functional imaging studies but larger samples are needed for ASD heterogeneity; failure to detect robust FC–symptom relationships may reflect not sampling symptoms beyond cardinal diagnostic domains; too few females were included to examine group-by-sex interactions; incomplete cerebellar coverage in some participants prevented full striatal-cerebellar analyses; the thalamus was not examined directly due to limitations on thalamic functional parcellation; and the ectopic FC model remains speculative until validated by cross-sectional and longitudinal studies beginning in early development.
  • Stated in the paper: the symptom correlations did not survive Bonferroni correction for multiple comparisons.
  • Evident from the text: the design is cross-sectional, so it cannot establish developmental trajectories; medication status was mixed (10 medication-naïve, 7 off psychoactive medications for varying periods, 2 on psychostimulants discontinued 24 hours before scanning, 1 on melatonin), which may affect FC; and only school-age children were studied, so findings may not generalize to younger or older ASD groups.

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Integrity signals

Registry

Crossref · 10.1016/j.biopsych.2010.10.029

Cites

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Show all 45 claims

  • Probably not a substantial claim. 42
  • It may state two separate claims as one. 16
50 of 50
  • The paper relies on this without support.

    Resting-state fMRI functional connectivity provides a valid measure of functional brain connectivity.

    “For each subject, we derived whole-brain voxel-wise correlations associated with the mean time-series for each of the 12 seeds (six per hemisphere) using 3dfim+ (AFNI).”
  • The paper relies on this without support.

    Cross-sectional differences between children and adults reflect developmental maturational changes.

    “Thirty-five adults (mean age: 28.4±8.5 years) described in our previous study (42) were included for secondary analyses of striatal age-related changes.”
  • The paper relies on this without support.

    The 20 children with ASD and 20 TDC are representative of children with ASD and typically developing children, respectively.

    “Twenty TDC selected from a larger pool of children participating in ongoing studies were group-matched for age, sex, estimated IQ, and handedness.”
  • The paper relies on this without support.

    Brainstem dysfunction has been rarely considered in imaging studies of ASD.

    “Despite these convergent lines of evidence, brainstem dysfunction has been rarely considered in imaging studies of ASD.”
  • The paper relies on this without support.

    The ventral striatum (VSi) plays a role in reward mechanisms.

    “Given the role of the VSi in reward mechanisms, abnormal FC between these regions may underlie the hypothesized deficiency of social rewards in ASD (93).”
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  • Consistentr(13) = 0.69reported p = .005 · recomputed p = .004

    “r(13)=0.69, p = .005”

  • Consistentr(13) = -0.64reported p = .011 · recomputed p = .010

    “r(13)= -0.64, p = .011”

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Metadata

Authors
Di Martino, A., Kelly, C., Grzadzinski, R., Zuo, X.-N., Mennes, M., Mairena, M. A., Lord, C., Castellanos, F. X., & Milham, M. P.
Affiliations
  • NYU Langone Health (US)
  • Chinese Academy of Sciences (CN)
  • University of Michigan (US)
  • Nathan Kline Institute for Psychiatric Research (US)
Venue
Biological Psychiatry
Publisher
Elsevier BV
Published
2011-05
Volume
69
Issue
9
Pages
847-856
ISSN
0006-3223 (ISSN-L)
OpenAlex
W2076683771
Cited by
483
References
100
Citations by year
2026: 20 · 2025: 19 · 2024: 28 · 2023: 25 · 2022: 20 · 2021: 40 · 2020: 48 · 2019: 33 · 2018: 34 · 2017: 31 · 2016: 32 · 2015: 50 · 2014: 27 · 2013: 42 · 2012: 27
FWCI
16.72
Type
journal article
Language
en
Open access
Locations
  • Biological Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion)
  • UNICA IRIS Institutional Research Information System (University of Cagliari) (submittedVersion)
Funders
  • National Alliance for Research on Schizophrenia and Depression
  • National Institute of Mental Health (K23MH087770)
  • National Institute of Child Health and Human Development (R01HD065282)
  • Autism Speaks
  • Stavros Niarchos Foundation
  • Alicia Koplowitz Foundation
  • Leon Levy Foundation
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, striatum, functional connectivity, children, caudate nucleus, putamen, insula, passive optical networks, brainstem, resting-state functional connectivity
MeSH terms
Adolescent, Autistic Disorder, Brain Mapping, Cerebral Cortex, Child, Corpus Striatum, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Neural Pathways

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