You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Traumatic Brain Injury and Depression in a Community - Based Sample: A Cohort Study Across the Adult Life Span To determine whether self-reported traumatic brain injuries (TBIs) are associated with " cases " of clinically significant depression in the general community. To examine interactions between variables previously linked to depression after a TBI. Population -based community study (Canberra and Queanbeyan, Australia). Three age cohorts: young, middle-aged, and older adults (aged 20-24, 40-44, and 60-64 years at baseline) randomly selected from the electoral roll and followed across 3 waves (4 years apart). A total of 7397, 6621, and 6042 people provided their TBI history in waves 1 to 3. Lifetime (TBIlifetime: sustained at any time since birth), recent (TBIrecent: in the preceding 4 years), and multiple (TBImultiple: more than 1) TBIs, current depression, and known risk factors for depression (age, sex, marital / employment status, prior history of depression, medical conditions, recent life events, alcohol consumption, social support, physical activity). Generalized estimating equations demonstrated a significant association between sustaining a TBI and experiencing clinically significant depression (cases), even after controlling for multiple demographic and health / lifestyle factors. There is an enduring association between depression and TBI, suggesting that, following a TBI, individuals should be monitored and supported to optimize their long-term psychological health.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["psychological health", "Depression", "depression", "birth"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["clinically significant", "medical conditions", "risk factors", "employment status"], "Food": [], "HealthCareActivity": [], "InjuryOrPoisoning": ["TBIs", "Traumatic Brain Injury", "traumatic brain injuries", "TBI"], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["age cohorts", "Population", "people", "individuals", "older"], "ProfessionalOrOccupationalGroup": ["monitored"], "ResearchActivity": ["study"], "SpatialConcept": ["Australia", "Canberra"], "Virus": []}