Bidirectional chemogenetic modulation of claustral activity causes altered cortical dynamics
Bibliographic record
Abstract
Abstract In recent years, there has been a growing interest in understanding the function of the claustrum. The claustrum is a thin, long, subcortical structure with dense connections to the cortex. Despite these extensive connections, the manner in which the claustrum influences broader cortical activity remains unclear. We used mesoscale calcium fluorescence imaging to examine resting state cortical activity (1-5Hz) and sensory-evoked responses in lightly anesthetized mice, before and after bi-directional chemogenetic modulation of claustrum-prefrontal neurons. Claustrum inhibition resulted in increased activity in anterior-medial cortical areas, whereas claustrum excitation resulted in decreased activity in anterior-medial cortical regions. Claustrum inhibition also led to an increased local coupling between areas of frontal cortex, a decreased correlation between anterior medial regions-of-interest (ROIs) and lateral and posterior ROIs, and an increased sensory evoked response in the visual cortex. These results are consistent with the finding that the claustrum has a large feed-forward inhibitory effect on the PFC, and the concept that specific claustrocortical pathways may modulate recruit and synchronize activity in topographically distinct cortical modules. Together these results show that neural activity in the claustrum modulates the excitability of prefrontal cortical networks, suggesting a potential target for prefrontal-dependent behaviors such as learning, attention, and stress regulation.
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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".