
Mother-child similarity in brain morphology : a comparison of structural characteristics of the brain's reading network
- Author
- Lynn Fehlbaum, Lien Peters (UGent) , Plamina Dimanova, Margot Roell, Reka Borbas, Daniel Ansari and Nora M. Raschle
- Organization
- Abstract
- Background: Substantial evidence acknowledges the complex gene-environment interplay impacting brain development and learning. Intergenerational neuroimaging allows the assessment of familial transfer effects on brain structure, function and behavior by investigating neural similarity in caregiver-child dyads. Methods: Neural similarity in the human reading network was assessed through well-used measures of brain structure (i.e., surface area (SA), gyrification (lG), sulcal morphology, gray matter volume (GMV) and cortical thickness (CT)) in 69 mother-child dyads (children's age similar to 11 y). Regions of interest for the reading network included left-hemispheric inferior frontal gyrus, inferior parietal lobe and fusiform gyrus. Mother-child similarity was quantified by correlation coefficients and familial specificity was tested by comparison to random adult-child dyads. Sulcal morphology analyses focused on occipitotemporal sulcus interruptions and similarity was assessed by chi-square goodness of fit. Results: Significant structural brain similarity was observed for mother-child dyads in the reading network for lG, SA and GMV (r = 0.349/0.534/0.542, respectively), but not CT. Sulcal morphology associations were non-significant. Structural brain similarity in lG, SA and GMV were specific to mother-child pairs. Furthermore, structural brain similarity for SA and GMV was higher compared to CT. Conclusion: Intergenerational neuroimaging techniques promise to enhance our knowledge of familial transfer effects on brain development and disorders.
- Keywords
- Intergenerational neuroimaging, Reading, Brain structure, Development, MRI, Brain similarity, GRAY-MATTER VOLUME, CORTICAL THICKNESS, SURFACE-AREA, CEREBRAL-CORTEX, INTERGENERATIONAL TRANSMISSION, ENVIRONMENTAL-INFLUENCES, DEVELOPMENTAL DYSLEXIA, LONGITUDINAL CHANGES, PRESCHOOL-CHILDREN, FAMILIAL RISK
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HS1627W9B6BY9R4G1QXMXRFA
- MLA
- Fehlbaum, Lynn, et al. “Mother-Child Similarity in Brain Morphology : A Comparison of Structural Characteristics of the Brain’s Reading Network.” DEVELOPMENTAL COGNITIVE NEUROSCIENCE, vol. 53, 2022, doi:10.1016/j.dcn.2022.101058.
- APA
- Fehlbaum, L., Peters, L., Dimanova, P., Roell, M., Borbas, R., Ansari, D., & Raschle, N. M. (2022). Mother-child similarity in brain morphology : a comparison of structural characteristics of the brain’s reading network. DEVELOPMENTAL COGNITIVE NEUROSCIENCE, 53. https://doi.org/10.1016/j.dcn.2022.101058
- Chicago author-date
- Fehlbaum, Lynn, Lien Peters, Plamina Dimanova, Margot Roell, Reka Borbas, Daniel Ansari, and Nora M. Raschle. 2022. “Mother-Child Similarity in Brain Morphology : A Comparison of Structural Characteristics of the Brain’s Reading Network.” DEVELOPMENTAL COGNITIVE NEUROSCIENCE 53. https://doi.org/10.1016/j.dcn.2022.101058.
- Chicago author-date (all authors)
- Fehlbaum, Lynn, Lien Peters, Plamina Dimanova, Margot Roell, Reka Borbas, Daniel Ansari, and Nora M. Raschle. 2022. “Mother-Child Similarity in Brain Morphology : A Comparison of Structural Characteristics of the Brain’s Reading Network.” DEVELOPMENTAL COGNITIVE NEUROSCIENCE 53. doi:10.1016/j.dcn.2022.101058.
- Vancouver
- 1.Fehlbaum L, Peters L, Dimanova P, Roell M, Borbas R, Ansari D, et al. Mother-child similarity in brain morphology : a comparison of structural characteristics of the brain’s reading network. DEVELOPMENTAL COGNITIVE NEUROSCIENCE. 2022;53.
- IEEE
- [1]L. Fehlbaum et al., “Mother-child similarity in brain morphology : a comparison of structural characteristics of the brain’s reading network,” DEVELOPMENTAL COGNITIVE NEUROSCIENCE, vol. 53, 2022.
@article{01HS1627W9B6BY9R4G1QXMXRFA, abstract = {{Background: Substantial evidence acknowledges the complex gene-environment interplay impacting brain development and learning. Intergenerational neuroimaging allows the assessment of familial transfer effects on brain structure, function and behavior by investigating neural similarity in caregiver-child dyads. Methods: Neural similarity in the human reading network was assessed through well-used measures of brain structure (i.e., surface area (SA), gyrification (lG), sulcal morphology, gray matter volume (GMV) and cortical thickness (CT)) in 69 mother-child dyads (children's age similar to 11 y). Regions of interest for the reading network included left-hemispheric inferior frontal gyrus, inferior parietal lobe and fusiform gyrus. Mother-child similarity was quantified by correlation coefficients and familial specificity was tested by comparison to random adult-child dyads. Sulcal morphology analyses focused on occipitotemporal sulcus interruptions and similarity was assessed by chi-square goodness of fit. Results: Significant structural brain similarity was observed for mother-child dyads in the reading network for lG, SA and GMV (r = 0.349/0.534/0.542, respectively), but not CT. Sulcal morphology associations were non-significant. Structural brain similarity in lG, SA and GMV were specific to mother-child pairs. Furthermore, structural brain similarity for SA and GMV was higher compared to CT. Conclusion: Intergenerational neuroimaging techniques promise to enhance our knowledge of familial transfer effects on brain development and disorders.}}, articleno = {{101058}}, author = {{Fehlbaum, Lynn and Peters, Lien and Dimanova, Plamina and Roell, Margot and Borbas, Reka and Ansari, Daniel and Raschle, Nora M.}}, issn = {{1878-9293}}, journal = {{DEVELOPMENTAL COGNITIVE NEUROSCIENCE}}, keywords = {{Intergenerational neuroimaging,Reading,Brain structure,Development,MRI,Brain similarity,GRAY-MATTER VOLUME,CORTICAL THICKNESS,SURFACE-AREA,CEREBRAL-CORTEX,INTERGENERATIONAL TRANSMISSION,ENVIRONMENTAL-INFLUENCES,DEVELOPMENTAL DYSLEXIA,LONGITUDINAL CHANGES,PRESCHOOL-CHILDREN,FAMILIAL RISK}}, language = {{eng}}, pages = {{10}}, title = {{Mother-child similarity in brain morphology : a comparison of structural characteristics of the brain's reading network}}, url = {{http://doi.org/10.1016/j.dcn.2022.101058}}, volume = {{53}}, year = {{2022}}, }
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