Longitudinal structural MRI and behavioural data for mice prenatally exposed to maternal immune activation either early or late in gestation
Bibliographic record
Abstract
Prenatal maternal immune activation (MIA) is a risk factor for neurodevelopmental disorders. How the gestational timing of MIA-exposure differentially impacts downstream development remains unclear. The data presented here includes longitudinal structural magnetic resonance imaging (MRI) data from weaning to adulthood, and behavioural testing in adolescence and adulthood on C57BL/6 mice exposed to MIA induced by the viral mimetic, polyinosinic:polycytidylic acid (poly I:C) either early (gestational day [GD]9) or late (GD17) in gestation. The data published here was collected and analyzed for the following publication, where more details can be found (Guma et al., 2021 https://doi.org/10.1016/j.biopsych.2021.03.017). Briefly, we found that early MIA-exposure was associated with accelerated brain volume increases in adolescence/early-adulthood that normalized in later adulthood, in regions including the striatum, hippocampus, and cingulate cortex. Similarly, alterations in anxiety-like, stereotypic, and sensorimotor gating behaviours observed in adolescence normalized in adulthood. In contrast, MIA-exposure in late gestation had less impact on anatomical and behavioural profiles. In addition to the univariate analyses described above, we also undertook a multivariate analysis (partial least squares) to relate imaging and behavioural variables for the time of greatest alteration, i.e. adolescence/early adulthood. We further explored the molecular underpinnings of region-specific alterations in early MIA-exposed mice in adolescence using RNA sequencing (data for differentially expressed genes in the anterior cingulate cortex, dorsal hippocampus, and ventral hippocampus are available via the original publication https://doi.org/10.1016/j.biopsych.2021.03.017 for a separate cohort of adolescent mice prenatally exposed to MIA or vehicle at GD9). In this dataset, you will find a total of <strong>376 preprocessed structural MRIs</strong> (in MINC format) acquired at postnatal day ~21, ~38, ~60, and ~90 in mice exposed to poly I:C or vehicle control (0.9% sterile saline) at GD9 or 17. These are T1-weighted, manganese enhanced (50mg/kg 24 hours pre-scan), structural images at 100 micron isotropic resolution acquired on a 7 Tesla Bruker Biospec 70/30; matrix size of 180 x 160 x 90; 14.5 minutes, 2 averages, using 5% isoflurane for induction, 1.5% for maintenance of anesthesia during the scan. T1-weighted scans were preprocessed by stripping native coordinates, flipping left-right to maintain fidelity, denoising, correcting inhomogeneities in the bias field using the N4 algorithm, and registering in LSQ6 alignment (i.e. 6 degrees of freedom are allowed for imagine alignment: translations and rotations along x, y, and z dimensions). The demographics information for each animal is included in the <strong>demographics.csv</strong> file. Behavioural tests were performed following the postnatal day 38 and 90 scans in all animals with a 2 day rest period. These include: open field test, marble burying test, three chambered social approach, and prepulse inhibition. The attentional set shifting task was also performed following the final behavioural test in the postnatal day 90 wave of behaviours. The data for all of these tests is presented in its own individual .csv spreadsheet and includes data for both the timepoints evaluated. Included in this data set are the structural MRIs in MINC format, the behavioural .csv data, and a <strong>readme.txt</strong> file providing further detail on the data structure and content, and on how to interpret the data column titles. DICOMS are also available for the structural MRI data, as are the raw (not-preprocessed) MINC files, available upon request to the authors. Finally, the authors would like to acknowledge the funding bodies that supported the completion of this work including the Canadian Institute for Health Research, the Fonds de Recherche du Québec en Santé, and the Healthy Brains for Healthy Lives at McGill University.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".