@article {Bonab1191, author = {Ali Bonab and Michael Campos and Jennifer Camacho and Donald McLaren and Alan Fischman and Elisabeth Ludlage Moeller and Amanda Duffy and Steven Niemi and Emad Eskandar and Darin Dougherty}, title = {FDG PET imaging of rhesus monkeys with symptoms characteristic of obsessive compulsive disorder (OCD) in humans}, volume = {52}, number = {supplement 1}, pages = {1191--1191}, year = {2011}, publisher = {Society of Nuclear Medicine}, abstract = {1191 Objectives Human Obsessive Compulsive Disorder (OCD) has not been identified in non-human primates (NHP). Recently we have identified abnormal behaviors in monkeys that are similar to OCD in humans. In this report we used FDG brain PET imaging to assess these behavioral issues. Methods Methods: We imaged 4 normal monkeys and 4 monkeys with substantial expression of abnormal behavior based on continuous observation and assessment. After injection of ~4 mCi of 18FDG each monkeys was imaged for 60 minutes in list mode. Images were acquired with a Siemens P4 microPET. Data was Fourier rebind and reconstructed using map reconstruction in 256x256 matrices. Images were corrected for randoms, attenuation, scatter and dead time. P4 microPET has in-plane resolution of ~1.75 mm FWHM (Tai, et al Phys Med Biol 46:(2201) 1845-1862). Images were intensity normalized to the same global mean, spatially normalized to the 112RM-SL rhesus macaque atlas, and analyzed with statistical parametric mapping (SPM5). Results Preliminary results with this small sample indicate a significant activation in the anterior cingulate in monkeys exhibiting OCD-like behaviors compared with controls. This pattern corresponds to known activation patterns of human OCD patients. Conclusions These results suggest that NHPs that spontaneously exhibit OCD-like abnormal behaviors could be a useful model for human OCD, since they share a common endophenotype}, issn = {0161-5505}, URL = {https://jnm.snmjournals.org/content/52/supplement_1/1191}, eprint = {https://jnm.snmjournals.org/content}, journal = {Journal of Nuclear Medicine} }