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: ["Outcome", "Participant", "Intervention"].

Please return the output as a JSON object of the format: {"Participant" : ["patients with COPD", ...], "Intervention" : ["Atenolol", ...], "Outcome" : ["blood pressure", ...]}. 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:

The neural correlates of semantic richness : evidence from an fMRI study of word learning . We investigated the neural correlates of concrete nouns with either many or few semantic features . A group of 21 participants underwent two days of training and were then asked to categorize 40 newly learned words and a set of matched familiar words as living or nonliving in an MRI scanner . Our results showed that the most reliable effects of semantic richness were located in the left angular gyrus ( AG ) and middle temporal gyrus ( MTG ) , where activation was higher for semantically rich than poor words . Other areas showing the same pattern included bilateral precuneus and posterior cingulate gyrus . Our findings support the view that AG and anterior MTG , as part of the multimodal network , play a significant role in representing and integrating semantic features from different input modalities . We propose that activation in bilateral precuneus and posterior cingulate gyrus reflects interplay between AG and episodic memory systems during semantic retrieval .
{"Intervention": ["training", "matched familiar words as living or nonliving in an MRI scanner"], "Outcome": ["located in the left angular gyrus ( AG )", "integrating semantic features", "middle temporal gyrus ( MTG )", "most reliable effects of semantic richness"], "Participant": ["21"]}