Cited by 259Autism Spectrum Disorder ResearchFunctional Brain Connectivity StudiesGenetics and Neurodevelopmental Disorders

The implications of brain connectivity in the neuropsychology of autism

Open access
Maximo, Jose O., Cadena, Elyse J., Kana, Rajesh K.·2014·Neuropsychology Review

Abstract

Autism is a neurodevelopmental disorder that has been associated with atypical brain functioning. Functional connectivity MRI (fcMRI) studies examining neural networks in autism have seen an exponential rise over the last decade. Such investigations have led to the characterization of autism as a distributed neural systems disorder. Studies have found widespread cortical underconnectivity, local overconnectivity, and mixed results suggesting disrupted brain connectivity as a potential neural signature of autism. In this review, we summarize the findings of previous fcMRI studies in autism with a detailed examination of their methodology, in order to better understand its potential and to delineate the pitfalls. We also address how a multimodal neuroimaging approach (incorporating different measures of brain connectivity) may help characterize the complex neurobiology of autism at a global level. Finally, we also address the potential of neuroimaging-based markers in assisting neuropsychological assessment of autism. The quest for a neural marker for autism is still ongoing, yet new findings suggest that aberrant brain connectivity may be a promising candidate.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s11065-014-9250-0

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 175 · Cited by 259

Authors
Maximo, J. O., Cadena, E. J., & Kana, R. K.
Affiliations
University of Alabama at Birmingham (US)
Corresponding author
Kana, Rajesh K.
Venue
Neuropsychology Review
Published
2014-02-05
Volume
24
Issue
1
Pages
16-31
ISSN
  • 1040-7308 (ISSN-L)
  • 1573-6660
OpenAlex
W2023044037
Cited by
259
References
175
Citations by year
2026: 10 · 2025: 14 · 2024: 23 · 2023: 23 · 2022: 25 · 2021: 25 · 2020: 12 · 2019: 19 · 2018: 15 · 2017: 30 · 2016: 29 · 2015: 22 · 2014: 11
FWCI
2.96
Type
journal article
Language
en
Open access
Locations
  • Neuropsychology Review (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (UL1TR000165)
  • Center for Clinical and Translational Sciences, University of Texas Health Science Center at Houston
  • Department of Psychology, University of Alabama at Birmingham
  • National Center for Advancing Translational Sciences
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, functional connectivity MRI, artificial neural networks, multimodal neuroimaging, neural markers, neuropsychological assessment
MeSH terms
Autistic Disorder, Brain, Brain Mapping, Cognition, Humans, Magnetic Resonance Imaging, Neural Pathways, Neuropsychology, Rest

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review