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Record W1544975792 · doi:10.1113/jphysiol.2011.225060

Intrinsic oscillatory activity arising within the electrically coupled AII amacrine–ON cone bipolar cell network is driven by voltage‐gated Na<sup>+</sup> channels

2012· article· en· W1544975792 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Journal of Physiology · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsUniversity of VictoriaDalhousie University
FundersNeurosciences FoundationCanadian Institutes of Health ResearchUniversity of OttawaNatural Sciences and Engineering Research Council of CanadaFoundation Fighting BlindnessNational Science Foundation
KeywordsAmacrine cellRetinaHyperpolarization (physics)BiophysicsNeuroscienceGap junctionChemistryPhysicsBiologyIntracellularBiochemistryStereochemistry

Abstract

fetched live from OpenAlex

Key points In mouse models for retinal degeneration, photoreceptor death leads to membrane oscillation in the remnant AII amacrine–ON cone bipolar cell network through an unknown mechanism. We found such oscillations require voltage‐gated Na + channels and gap junctions but not hyperpolarization‐activated currents ( I h ). Na + channels are expressed predominantly in AII amacrine cells and I h in ON cone bipolar cells, and appear to interact via gap junctions to shape oscillations. Similar intrinsic oscillations arose in the wild‐type (wt) AII amacrine–ON cone bipolar cell network when photoreceptor inputs to bipolar cells were pharmacologically occluded. Computational modelling captures experimental findings when a low level of cellular heterogeneity is introduced in the coupled network. These unique insights into the cellular mechanisms underlying spontaneous activity in the degenerating retina might aid in designing the most effective strategies to restore vision using retinal prosthesis. Abstract In the rd1 mouse model for retinal degeneration, the loss of photoreceptors results in oscillatory activity (∼10–20 Hz) within the remnant electrically coupled network of retinal ON cone bipolar and AII amacrine cells. We tested the role of hyperpolarization‐activated currents ( I h ), voltage‐gated Na + channels and gap junctions in mediating such oscillatory activity. Blocking I h (1 m m Cs + ) hyperpolarized the network and augmented activity, while antagonizing voltage‐dependent Na + channels (1 μ m TTX) abolished oscillatory activity in the AII amacrine–ON cone bipolar cell network. Voltage‐gated Na + channels were only observed in AII amacrine cells, implicating these cells as major drivers of activity. Pharmacologically uncoupling the network (200 μ m meclofenamic acid (MFA)) blocked oscillations in all cells indicating that Na + channels exert their influence over multiple cell types within the network. In wt retina, occluding photoreceptor inputs to bipolar cells (10 μ m NBQX and 50 μ m l ‐AP4) resulted in a mild (∼10 mV) hyperpolarization and the induction of oscillatory activity within the AII amacrine–ON cone bipolar cell network. These oscillations had similar properties to those observed in rd1 retina, suggesting that no major degeneration‐induced network rewiring is required to trigger spontaneous oscillations. Finally, we constructed a simplified computational model that exhibited Na + channel‐dependent network oscillations. In this model, mild heterogeneities in channel densities between individual neurons reproduced our experimental findings. These results indicate that TTX‐sensitive Na + channels in AII amacrine cells trigger degeneration‐induced network oscillations, which provide a persistent synaptic drive to downstream remnant neurons, thus appearing to replace photoreceptors as the principal drivers of retinal activity.

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.

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)0.001
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.018
GPT teacher head0.239
Teacher spread0.221 · 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