Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Oct 1;31(11):4916-4932.
doi: 10.1093/cercor/bhab131.

Symptom-Related Differential Neuroimaging Biomarkers in Children with Corpus Callosum Abnormalities

Yurui Guo  1 , Alpen Ortug  1 , Rodney Sadberry  1   2 , Arthur Rezayev  1   3 , Jacob Levman  1   4 , Tadashi Shiohama  1   5 , Emi Takahashi  1
Affiliations

Symptom-Related Differential Neuroimaging Biomarkers in Children with Corpus Callosum Abnormalities

Yurui Guo et al. Cereb Cortex. .

Abstract

We aimed to identify symptom-related neuroimaging biomarkers for patients with dysgenesis of the corpus callosum (dCC) by summarizing neurological symptoms reported in clinical evaluations and correlating them with retrospectively collected structural/diffusion brain magnetic resonance imaging (MRI) measures from 39 patients/controls (mean age 8.08 ± 3.98). Most symptoms/disorders studied were associated with CC abnormalities. Total brain (TB) volume was related to language, cognition, muscle tone, and metabolic/endocrine abnormalities. Although white matter (WM) volume was not related to symptoms studied, gray matter (GM) volume was related to cognitive, behavioral, and metabolic/endocrine disorders. Right hemisphere (RH) cortical thickness (CT) was linked to language abnormalities, while left hemisphere (LH) CT was linked to epilepsy. While RH gyrification index (GI) was not related to any symptoms studied, LH GI was uniquely related to cognitive disorders. Between patients and controls, GM volume and LH/RH CT were significantly greater in dCC patients, while WM volume and LH/RH GI were significantly greater in controls. TB volume and diffusion indices for tissue microstructures did not show differences between the groups. In summary, our brain MRI-based measures successfully revealed differential links to many symptoms. Specifically, LH GI abnormality can be a predictor for dCC patients, which is uniquely associated with the patients' symptom. In addition, patients with CC abnormalities had normal TB volume and overall tissue microstructures, with potentially deteriorated mechanisms to expand/fold the brain, indicated by GI.

Keywords: agenesis of corpus callosum; cognitive outcome; corpus callosum; epilepsy.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Flow diagram for inclusion, exclusion, overall analysis, and statistics.
Figure 2
Figure 2
CC disorders: abnormal shape of the CC (A), hypoplasia of the CC (B), absence of rostrum (C), genu and splenium (D), body (E), and body and splenium (F) of the CC. The complete absence of the CC is shown in (G).
Figure 3
Figure 3
Venn diagram showing detailed classifications of brain abnormalities in all dCC patients (A), subgroup Hypoplasia (B), and subgroup Absence (C).
Figure 4
Figure 4
Pie chart showing detailed classifications of symptoms in isolated dCC group (A), dCC with Brain Size abnormalites group (B), and dCC with Gray Matter abnormalities group (C).
Figure 5
Figure 5
Forest plot of additional disorders (on the left) with the logarithmically scaled values of the odds ratios (red squares) and associated CIs (lateral tips of the squares) for the dCC patients and controls.
Figure 6
Figure 6
Scatterplots showing the comparison of mean brain volume (A), volume of the WM (B), mean cortical GM volume (C), and GI of the left (D) and right (E) hemisphere between the control group (blue) and dCC hypoplasia patients (orange), dCC absence patients (yellow). The black dots represent the means in each group.
Figure 7
Figure 7
Scatter plots showing the comparison of mean CT of the LH (A) and mean CT of the RH (B) between the control group (blue) and dCC hypoplasia patients (orange), dCC absence patients (yellow). The black dots represent the means in each group. Regional CT maps of the LH in 10-year-old control subject (C, D) and 10-year-old dCC patient with hypoplastic CC (E, F). CT was color coded according to the map in the middle of the figure.
Figure 8
Figure 8
Scatter plots showing the comparison of mean cortical FA (A) and mean cortical ADC (B) between the control group (blue) and dCC hypoplasia patients (orange), dCC absence patients (yellow). The black dots represent the means in each group.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Abreu-Villaça Y, Silva WC, Manhães AC, Schmidt SL. 2002. The effect of corpus callosum agenesis on neocortical thickness and neuronal density of BALB/cCF mice. Brain Res Bull. 58(4):411–416. - PubMed
    1. Albert A, Anderson JA. 1984. On the existence of maximum likelihood estimates in logistic regression models. Biometrika. 71(1):1–10.
    1. Badaruddin DH, Andrews GL, Bölte S, Schilmoeller KJ, Schilmoeller G, Paul LK, Brown WS. 2007. Social and behavioral problems of children with agenesis of the corpus callosum. Child Psychiatry Hum Dev. 38(4):287–302. - PubMed
    1. Ball G, Srinivasan L, Aljabar P, Counsell SJ, Durighel G, Hajnal JV, Rutherford MA, Edwards AD. 2013. Development of cortical microstructure in the preterm human brain. Proc Natl Acad Sci U S A. 110(23):9541–9546. - PMC - PubMed
    1. Batalle D, O'Muircheartaigh J, Makropoulos A, Kelly CJ, Dimitrova R, Hughes EJ, Hajnal JV, Zhang H, Alexander DC, Edwards AD et al. 2019. Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo. Neuroimage. 185:764–775. - PMC - PubMed

Publication types