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. 2023 Apr 29;2022:1135–1144.

Table 2.

Five test queries expressed in both natural language and NeuroBridge ontology concepts.

Query ID Expressed in natural language Expressed in NeuroBridge ontology concepts # of articles judged # (%) of relevant articles
Q1 Papers that had schizophrenia as some of the subject types, along with resting state fMRI, and any cognitive measure. Schizophrenia AND (RestingStateImaging OR RestingStateImagingProtocol) AND NeurocognitiveTest 31 15 (48.39%)
Q2 Papers that had healthy controls (“No known disorder”), and resting state fMRI. NoKnownDisorder AND (RestingStateImaging OR RestingStateImagingProtocol) 40 27 (67.50%)
Q3 Papers that had some measure of impulsivity, and structural imaging (T1-weighted) data. ImpulsivityScale AND (T1WeightedImaging OR T1WeightedImagingProtocol) 26 12 (46.13%)
Q4 Papers that had subjects with alcohol use disorder, a personality questionnaire, and a task-based fMRI method. AlcoholAbuse AND PersonalityRatingScale AND (TaskParadigmImaging OR TaskParadigmImagingProtocol) 32 12 (37.50%)
Q5 Papers that had subjects with cannabis use disorder, neurocognitive assessment, and resting-state fMRI. CannabisAbuse AND NeurocognitiveTest AND (RestingStateImaging OR RestingStateImagingProtocol) 30 8 (26.66%)