ArticleDevelopmental cognitive neuroscience2022
Mother-child similarity in brain morphology: A comparison of structural characteristics of the brain's reading network.
Article in Developmental cognitive neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Genetic Influences on the Developing Young Brain and Risk for Neuropsychiatric Disorders.Biological psychiatry · 2023Pooled it
- Parent-Child Cortical Similarity Indexes Multiple Dimensions of Sensitivity in the Association Between Family Environment and Adolescent Internalizing Symptoms.bioRxiv : the preprint server for biology · 2026Article
- Family-Level Brain Pattern Similarities and Their Clinical Significance in Young Offspring of Individuals With Psychotic Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- The Impact of Childhood Trauma on Neuropsychological Disorders and Its Intergenerational Transmission Mechanisms.Behavioral sciences (Basel, Switzerland) · 2026Review
- Intergenerational transmission of the structure of the auditory cortex and reading skills.Developmental cognitive neuroscience · 2026Article
- Investigating the impact of stressful life events on neuroanatomy across adolescence.bioRxiv : the preprint server for biology · 2026Article
- Developmental patterns of mother-child similarity in executive function and electroencephalogram coherence.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2026Article
- Structural brain alterations associated with brain age may link to social dysfunction in male adults with autism spectrum disorder.Frontiers in neuroscience · 2026Article
- Intergenerational neuroimaging's present and future: Considering sex as a biological variable to enhance knowledge of brain development through parent-offspring similarity.Developmental cognitive neuroscience · 2025Review
- Morphometric Analysis of Neocortical and Infratentorial Structures: Genetic and Environmental Insights from a Twin Neuroanatomical Study.Medicina (Kaunas, Lithuania) · 2025Article
- Maternal Immune Activation and Child Brain Development: A Longitudinal Population-Based Multimodal Neuroimaging Study.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Interactive roles of preterm-birth and socioeconomic status in cortical thickness of language-related brain structures: Findings from the Adolescent Brain Cognitive Development (ABCD) study.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Unique longitudinal contributions of sulcal interruptions to reading acquisition in children.bioRxiv : the preprint server for biology · 2024Article
- Intergenerational transmission of brain structure and function in humans: a narrative review of designs, methods, and findings.Brain structure & function · 2024Review
- From mother to child: How intergenerational transfer is reflected in similarity of corticolimbic brain structure and mental health.Developmental cognitive neuroscience · 2023Article
- Transmit Radiant Individuality to Offspring (TRIO) study: investigating intergenerational transmission effects on brain development.Frontiers in psychiatry · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSubstantial 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.
methodsNeural 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~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.
resultsSignificant 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.
conclusionIntergenerational neuroimaging techniques promise to enhance our knowledge of familial transfer effects on brain development and disorders.
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