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: ["Disease", "Chemical"].

Please return the output as a JSON object of the format: {"Chemical" : ["Naloxone", ...], "Disease" : ["Hypotensive", ...]}. 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:

Worsening of levodopa-induced dyskinesias by motor and mental tasks. Ten patients who had Parkinson's disease with disabling dyskinesia were included in this study to evaluate the role of mental (mental calculation) and motor (flexion/extension of right fingers, flexion/extension of left fingers, flexion/extension of the neck, speaking aloud) tasks on the worsening of peak-dose dyskinesia following administration of an effective single dose of apomorphine. Compared with the score at rest (1.3+/-0.3), a significant aggravation of the dyskinesia score was observed during speaking aloud (5.2+/-1.1, p<0.05), movements of right (4.5+/-1.0, p<0.05) and left (3.7+/-0.8, p<0.05) fingers, movements of the neck (5.1+/-1.0, p<0.05), and mental calculation (3.1+/-1.0, p<0.05). These results suggest that activation tasks such as "speaking aloud" could be used for objective assessment of dyskinesia severity.
{"Chemical": ["apomorphine", "levodopa"], "Disease": ["dyskinesias", "dyskinesia", "Parkinson\u0027s disease"]}