Abstract TMP34: Longitudinal Calcium Imaging Reveals Circuit Switching and Abnormal Response Fidelity in Somatosensory Vip Interneuron Circuits in the Stroke Damaged Brain
Bibliographic record
Abstract
Although inhibitory cortical interneurons play a critical role in regulating brain excitability and function, the effects of stroke on these neurons is poorly understood. In particular, interneurons expressing vasoactive intestinal peptide (VIP) specialize in inhibiting other classes of inhibitory neurons, and thus serve to modulate cortical sensory processing. To understand how stroke affects this circuit, we imaged VIP neuron structure and function (using GCaMP6s) before and after focal stroke in forelimb somatosensory cortex. Stroke led to a significant loss of peri-infarct pre-synaptic boutons and dendritic spines that was followed by a wave of bouton/spine production. Larger-scale changes, such as pruning/growth of axons or dendritic branches was observed, albeit on a limited scale. Functionally, the fraction of forelimb responsive VIP interneurons and their response fidelity (defined as the % of forelimb responsive trials) was significantly reduced in the first week after stroke. The loss of responsiveness was most evident in highly active VIP neurons (defined by their level of responsiveness before stroke), whereas less active neurons were minimally affected. Of note, a small fraction of VIP neurons that were minimally active before stroke, became responsive afterwards suggesting that stroke may unmask sensory responses in some neurons. Although VIP responses to forepaw stimulation generally improved although not fully from 2-5 weeks recovery, the variance in response fidelity after stroke was comparatively high and therefore less predictable than that observed before stroke. Lastly, stroke related changes to synaptic structure and response properties were both restricted to within 400μm of the infarct border. These findings reveal the dynamic and resilient nature of VIP neurons and suggest that a sub-population of these cells are more apt to lose sensory responsiveness during the initial phase of stroke, whereas some minimally responsive cells are progressively recruited into the forelimb sensory circuit. Furthermore, stroke appears to disrupt the predictability of sensory evoked responses in these cortical interneurons which could have important consequences for sensory perception.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".