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Record W2123447182 · doi:10.1111/acer.12051

The Influence of Fetal Ethanol Exposure on Subsequent Development of the Cerebral Cortex as Revealed by Magnetic Resonance Imaging

2013· article· en· W2123447182 on OpenAlexaff
Lindsey A. Leigland, Matthew M. Ford, Jason P. Lerch, Christopher D. Kroenke

Bibliographic record

VenueAlcoholism Clinical and Experimental Research · 2013
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsHospital for Sick Children
FundersNational Center for Research ResourcesNational Institute of Neurological Disorders and StrokeNational Institute on Alcohol Abuse and AlcoholismNational Institute on AgingNational Institutes of HealthU.S. Department of Veterans Affairs
KeywordsMagnetic resonance imagingFetusGestationMedicineCerebral cortexNeuroimagingPathologyBrain sizePhysiologyHuman brainInternal medicinePregnancyRadiologyBiologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Fetal alcohol syndrome and related disorders (commonly referred to as fetal alcohol spectrum disorder, or FASD) cause significant hardships to the individuals affected. Previously, histological studies in animals have characterized developmental cerebral cortical abnormalities that result from prenatal ethanol (EtOH) exposure. Additionally, magnetic resonance imaging (MRI) studies have identified abnormalities associated with fetal EtOH exposure in the cerebral cortices of human children and adolescents. However, there is still a need to bridge the gap between human MRI studies and animal histological studies. The goal of the research presented here was to perform postmortem MRI experiments on rodents, during time periods relative to late human gestation through adulthood, to characterize anomalies associated with FASD throughout development. Additionally, by determining how histologically identified abnormalities are manifest in MRI measurements specifically during the critical early time points, neuroimaging-based biomarkers of FASD can potentially be identified at much earlier ages in humans, thus reducing the impact of these disorders. METHODS: Cerebral cortical volume, thickness, and surface area were characterized by ex vivo MRI in Long-Evans rat pups born from dams that were EtOH-treated, maltose/dextrin-treated, or untreated throughout gestation at 6 developmental time points (postnatal day [P] 0, P3, P6, P11, P19, and P60). RESULTS: Brain volume, isocortical volume, isocortical thickness, and isocortical surface area were all demonstrated to be reduced following prenatal exposure to EtOH. Significant differences among the treatment groups were observed throughout the range of time points studied, allowing for a comprehensive view of FASD influenced MRI outcomes throughout development. Isocortical surface area and isocortical thickness results contributed independent information important to interpreting effects of prenatal EtOH exposure on cerebral cortical development. Additionally, regional patterns in cortical thickness differences suggested primary sensory areas were particularly vulnerable to gestational EtOH exposure. CONCLUSIONS: Structural MRI measurements were in accordance with previous histological studies performed in animal models of FASD. In addition to establishing a summary of MRI outcomes throughout development in FASD, this research suggests that MRI techniques are sufficiently sensitive to detect neuroanatomical effects of fetal EtOH exposure on development of the cerebral cortex during the period of time corresponding to late gestation in humans. Importantly, this research provides a link between animal histological data and human MRI data.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.386
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations40
Published2013
Admission routes1
Has abstractyes

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