Investigating glial dynamics in the developing hippocampus
Bibliographic record
Abstract
Glial cells represent the most abundant cell population in the central nervous system (CNS), and yet, have historically been thought of as merely support cells for neurons. Over the past few decades, however, the number of identified roles that glial cells play in the CNS has expanded at an exponential rate, revealing new and exciting functions in neuron-glial communication. At synapses, astrocytes are now recognized as part of a "tripartite" complex with pre- and postsynaptic structures and can modulate synaptic transmission and plasticity. Accumulating evidence has also revealed new roles for oligodendrocytes in regulating axon diameter and integrity, and ion channel clustering. Despite our knowledge of the physiological connections between neurons and glia, relatively little is known about the morphological interplay of these cells during development and in the mature brain. The results presented in this thesis reveal the extent and time-course of rapid remodelling of astrocytes and oligodendrocytes in close proximity to dendritic spines and axons respectively. These findings provide further evidence that glia play an important role in regulating the structural plasticity of the brain. The methodology developed also provides a powerful system for the study of neuron-glial structural dynamics and may contribute to the development of novel therapeutic strategies for diseases affecting the central nervous system.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 source (direct Gemma or distilled Codex), 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".