The DOI matches its Crossref record; 222 of the 222 references it cites were found in a registry or an index.
The neural circuitry of restricted repetitive behavior: Magnetic resonance imaging in neurodevelopmental disorders and animal models
Open accessAbstract
Restricted, repetitive behaviors (RRBs) are patterns of behavior that exhibit little variation in form and have no obvious function. RRBs although transdiagonstic are a particularly prominent feature of certain neurodevelopmental disorders, yet relatively little is known about the neural circuitry of RRBs. Past work in this area has focused on isolated brain regions and neurotransmitter systems, but implementing a neural circuit approach has the potential to greatly improve understanding of RRBs. Magnetic resonance imaging (MRI) is well-suited to studying the structural and functional connectivity of the nervous system, and is a highly translational research tool. In this review, we synthesize MRI research from both neurodevelopmental disorders and relevant animal models that informs the neural circuitry of RRB. Together, these studies implicate distributed neural circuits between the cortex, basal ganglia, and cerebellum. Despite progress in neuroimaging of RRB, there are many opportunities for conceptual and methodological improvement. We conclude by suggesting future directions for MRI research in RRB, and how such studies can benefit from complementary approaches in neuroscience.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
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?
In the citing paper
“Studies of the neural circuitry underlying RRBs transdiagostically point to a critical role for frontostriatal systems in mediating these behaviours71.”
From Cognitive and behavioural flexibility: Neural mechanisms and clinical considerations (2021) · cites this paper as [71]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
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 · cited 1×
“The cerebellar crus has been shown to be functionally connected with regions of the frontal and temporal cortices (Buckner et al., 2008) that have been independently linked to RRB (Kana et al.”
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Parallel organization of functionally segregated circuits linking basal ganglia and cortex
Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
The brain's default mode network
Raichle, M. E. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014030 · Cited by 3,904
Ogawa, S., Tank, D. W., Menon, R., Ellermann, J. M., Kim, S. G., Merkle, H., & Ugurbil, K. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.13.5951 · Cited by 3,681
Neural systems supporting interoceptive awareness
Critchley, H. D., Wiens, S., Rotshtein, P., Öhman, A., & Dolan, R. J. (2004) · Nature Neuroscience · doi:10.1038/nn1176 · Cited by 3,406 · cited 1×
“In support of this notion, the insular cortex, which is also thought to mediate interoception (Critchley et al., 2004), has been repeatedly implicated in neuroimaging of RRB in ASD and FXS (Cascio et al.”
Inhibition and the right inferior frontal cortex
Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.02.010 · Cited by 3,197
Cited by
Sorted by citations
Cognitive and behavioural flexibility: Neural mechanisms and clinical considerations
Uddin, L. Q. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00428-w · Cited by 698
Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder
Buch, A. M., Vértes, P. E., Seidlitz, J., Kim, S. H., Grosenick, L., & Liston, C. M. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01259-x · Cited by 163
The autism advantage at work: A critical and systematic review of current evidence
Bury, S. M., Hedley, D., Uljarević, M., & Gal, E. (2020) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2020.103750 · Cited by 149
Tian, J., Gao, X., & Yang, L. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.780407 · Cited by 136
Neural Mechanisms Underlying Repetitive Behaviors in Rodent Models of Autism Spectrum Disorders
Gandhi, T., & Lee, C. C. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.592710 · Cited by 97
Metadata
- Authors
- Wilkes, B. J., & Lewis, M. H.
- Affiliations
- University of Florida (US)
- Corresponding author
- Wilkes, B.J.
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 92
- Pages
- 152-171
- ISSN
- 0149-7634 (ISSN-L)
- PMC
- PMC6169529
- OpenAlex
- W2803633340
- Cited by
- 64
- References
- 178
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 7 · 2023: 8 · 2022: 10 · 2021: 18 · 2020: 6 · 2019: 6 · 2018: 2
- FWCI
- 1.07
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (R21MH110911, R01MH080055)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Social Sciences › Psychology › Clinical Psychology › Obsessive-Compulsive Spectrum Disorders
- Keywords
- restricted and repetitive behaviors, neural circuits, neurodevelopmental disorders, autism spectrum disorder, functional connectivity, structural connectivity, basal ganglia, cerebellum, cortex, animal models, neuroimaging
- MeSH terms
- Animals, Brain, Disease Models, Animal, Humans, Neural Pathways, Cumulative Trauma Disorders, Neurodevelopmental Disorders
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