Microstructural Abnormalities in Language and Limbic Pathways in Orphanage-Reared Children: A Diffusion Tensor Imaging Study
Open accessAbstract
This study utilized diffusion tensor imaging fiber tractography to examine the miscrostructural integrity of limbic and paralimbic white matter tracts in 36 children (age M = 124 months) with histories of early deprivation, raised from birth in orphanages and subsequently adopted into the United States, compared to 16 age-matched typically developing children. We found increased mean diffusivity bilaterally in the arcuate fasciculus and increased mean diffusivity and reduced fractional anisotropy bilaterally in the uncinate fasciculus and cingulum in children with early deprivation. Microstructural integrity of the left arcuate fasciculus and right cingulum was related to language and behavioral functioning, respectively. White matter abnormalities were also associated with length of deprivation and time in the adoptive home. Our findings suggest that white matter pathways, connecting limbic and paralimbic brain regions is abnormal in children with histories of early deprivation, with some pathways appearing more susceptible to early deprivation than others.
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Children with histories of early deprivation have reduced structural connectivity of white matter tracts involved in limbic circuitry, frontostriatal circuitry, and sensory processing.
“We and others have shown that children with histories of early deprivation have reduced structural connectivity of white matter tracts involved in limbic circuitry, frontostriatal circuitry, and sensory processing (28–30).”
From Long-term effects of institutional rearing, foster care, and brain activity on memory and executive functioning (2019) · cites this paper as [29]
The Results (Fiber Tracking: Between-Group Analysis; page not provided) report reduced microstructural integrity in limbic and paralimbic tracts among children with histories of early deprivation. They do not report reduced integrity in frontostriatal tracts, and they found essentially similar measures between groups for the corticospinal tract, which the Introduction identifies as a sensory-motor pathway. This source therefore supports the limbic portion, but not the full range of circuitry claimed. (LLM, conf=0.90)
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- Authors
- Kumar, A., Behen, M. E., Singsoonsud, P., Veenstra, A. L., Wolfe-Christensen, C., Helder, E., & Chugani, H. T.
- Affiliations
- Wayne State University (US)
- Children's Hospital of Michigan (US)
- Calvin University (US)
- Corresponding author
- Behen, Michael E.
- Venue
- Journal of Child Neurology
- Publisher
- SAGE Publications
- Published
- 2013-01-28
- Volume
- 29
- Issue
- 3
- Pages
- 318-325
- ISSN
- 0883-0738 (ISSN-L)
- 1708-8283
- PMC
- PMC3659189
- OpenAlex
- W1994476770
- Cited by
- 46
- References
- 45
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 3 · 2022: 3 · 2021: 4 · 2020: 3 · 2019: 7 · 2018: 3 · 2017: 8 · 2016: 4 · 2015: 4 · 2013: 3
- FWCI
- 9.67
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Journal of Child Neurology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (K08MH079176)
- Topics
- Social Sciences › Safety Research › Child Welfare and Adoption
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
- Keywords
- early deprivation, white matter microstructure, arcuate fasciculus, uncinate fasciculus, cingulum, language development, behavioral functioning, mean diffusivity, fractional anisotropy, adoption
- MeSH terms
- Adoption, Brain, Child, Child, Preschool, Family Relations, Female, Humans, Infant, Infant, Newborn, Language, Language Tests, Limbic System, Male, Nerve Fibers, Myelinated, Neural Pathways, Neuropsychological Tests, Psychosocial Deprivation, Time Factors, Anisotropy, Orphanages, Diffusion Tensor Imaging
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