- claim_text
Cre-driver-line-based, layer- and projection-class-specific anterograde tracing across the mouse cortex and thalamus yields a connectivity model in which corticocortical, thalamocortical and corticothalamic projections form a shallow hierarchy of feedforward and feedback connections.
- raw_fields
{
"n": null,
"doi": "10.1038/s41586-019-1716-z",
"claim": "Cre-driver-line-based, layer- and projection-class-specific anterograde tracing across the mouse cortex and thalamus yields a connectivity model in which corticocortical, thalamocortical and corticothalamic projections form a shallow hierarchy of feedforward and feedback connections.",
"cite_key": "Harris2019",
"evidence": "About one thousand new anterograde AAV tracer experiments in mouse cortex and thalamus using Cre driver lines selective for layer/projection class.",
"effect_size": null,
"text_access": "abstract_only",
"study_system": "mouse cortex and thalamus, Cre-line anterograde AAV tracing, Allen Mouse Brain Connectivity Atlas expansion",
"argument_role": "supporting",
"replication_status": "replication_unknown",
"claim_source_sentence": "We have built a model to assign connection patterns between areas as either feedforward or feedback, and generated testable predictions of hierarchical positions for individual cortical and thalamic areas and for cortical network modules. Our results show that cell-class-specific connections are organized in a shallow hierarchy within the mouse corticothalamic network.",
"source_provenance_status": "non_substring_match",
"replication_evidence_dois": [],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-259a50694faa"
]
- source_span
We have built a model to assign connection patterns between areas as either feedforward or feedback, and generated testable predictions of hierarchical positions for individual cortical and thalamic areas and for cortical network modules. Our results show that cell-class-specific connections are organized in a shallow hierarchy within the mouse corticothalamic network.
- evidence_refs
[
{
"ref": "paper:paper-259a50694faa"
}
]- source_policy
{
"mode": "public_source_pointer_with_short_context",
"notes": [
"Local review repositories are read-only inputs.",
"SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
],
"source_commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
"source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}