Details
- scope
- human PD patients, on/off levodopa, cognitive learning tasks
- claim_text
- Parkinson's patients off medication learn better from negative outcomes than positive ones, while levodopa reverses this bias, validating the differential D1/D2 prediction of Frank's BG-dopamine computational model.
- section_id
- section_13
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_13_evidence_package.json
- effect_size
- Off-medication patients better at learning to avoid negative outcomes; on-medication reverses bias
- review_repo
- ComputationalReviewLoops
- section_ref
- wiki_page:computationalreviewloops-13
- source_kind
- review_finding
- source_path
- evidence/section_13_evidence_package.json
- source_span
- Dopamine medication reverses this bias, making patients more sensitive to positive than negative outcomes.
- study_system
- human PD patients, on/off levodopa, cognitive learning tasks
- section_title
- Computational Models of Loop Function
- evidence_summary
- Two cognitive procedural learning tasks tested on/off medication in PD patients with computational-model predictions.
- review_bundle_ref
- analysis_bundle:ab-d49e54403ef9
- replication_status
- independently_replicated
- review_package_ref
- analysis_bundle:ab-d49e54403ef9
- source_artifact_ref
- wiki_page:computationalreviewloops-13
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_13_evidence_package.json
- commit_sha
- 0632aae8abc141909207fe91f6349b9e36489c3b
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewLoops
Raw fields (4)
- raw_fields
{ "n": 33, "doi": "10.1126/science.1102941", "claim": "Parkinson's patients off medication learn better from negative outcomes than positive ones, while levodopa reverses this bias, validating the differential D1/D2 prediction of Frank's BG-dopamine computational model.", "cite_key": "Frank2004", "evidence": "Two cognitive procedural learning tasks tested on/off medication in PD patients with computational-model predictions.", "effect_size": "Off-medication patients better at learning to avoid negative outcomes; on-medication reverses bias", "text_access": "abstract_only", "study_system": "human PD patients, on/off levodopa, cognitive learning tasks", "source_cluster_id": "cluster_12", "replication_status": "independently_replicated", "claim_source_sentence": "Dopamine medication reverses this bias, making patients more sensitive to positive than negative outcomes.", "replication_evidence_dois": [ "10.1162/0898929052880093", "10.1093/brain/awaa335" ], "effect_size_source_sentence": "Here, we show, using two cognitive procedural learning tasks, that Parkinson's patients off medication are better at learning to avoid choices that lead to negative outcomes than they are at learning from positive outcomes." }- source_refs
[ "paper:paper-739135a6cef4" ]
- evidence_refs
[ { "ref": "paper:paper-739135a6cef4" } ]- 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": "0632aae8abc141909207fe91f6349b9e36489c3b", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops" }