The DOI matches its Crossref record.
Calculation difficulties in children of very low birthweight: A neural correlate
Abstract
Learning difficulties, including problems with numeracy, are common in Western populations. Many children with learning difficulty are survivors of preterm birth. Although some of these children have neurological disabilities, many are neurologically normal, and the latter group provides us with an important opportunity to investigate the neural bases of learning problems. We have conducted a neuroimaging study of adolescent children who had been born preterm at 30 weeks gestation or less, to investigate the relationship between brain structure and a specific difficulty in arithmetic calculation. Using voxel-based morphometry, we have been able to demonstrate that there is an area in the left parietal lobe where children without a deficit in calculation ability have more grey matter than those who do have this deficit. To our knowledge, this is the first report establishing a structural neural correlate of calculation ability in a group of neurologically normal individuals.
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.
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
Cited by
Mapping brain maturation and cognitive development during adolescence
Paus, T. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.12.008 · Cited by 1,348
The Infancy of the Human Brain
Dehaene-Lambertz, G., & Spelke, E. S. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.026 · Cited by 264
Effects of very low birthweight on brain structure in adulthood
Allin, M., Henderson, M., Suckling, J., Nosarti, C., Rushe, T., Fearon, P., Stewart, A. L., Bullmore, E., Rifkin, L., & Murray, R. (2004) · Developmental Medicine & Child Neurology · doi:10.1111/j.1469-8749.2004.tb00433.x · Cited by 102
Metadata
- Authors
- Isaacs, E. B.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-09-01
- Volume
- 124
- Issue
- 9
- Pages
- 1701-1707
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2099388927
- Cited by
- 349
- References
- 0
- FWCI
- 13.10
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Calculation difficulties in children of very low birthweight: A neural correlate. https://app.cochat.ai/papers/10.1093/brain/124.9.1701
- The paper
- Isaacs, E. B. (2001). Calculation difficulties in children of very low birthweight: A neural correlate. Brain. https://doi.org/10.1093/brain/124.9.1701
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.