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As medial prefrontal cortex (mPFC) and hippocampus play important roles in memory and emotion, we used multi-site, multi-electrode recordings of oscillatory neuronal activity in local field potentials (LFPs) in awake, head-fixed mice to determine if the functioning of these regions was abnormal after mTBI, using a closed-skull focal cranial blast model. We evaluated mPFC, hippocampus CA1, and primary somatosensory\/visual cortical areas (S1\/V1). Although mTBI did not alter the power of oscillations, it did cause increased coherence of \u03b8 (4-10 Hz) and \u03b2 (10-30 Hz) oscillations within mPFC and S1\/V1, reduced CA1 sharp-wave ripple (SWR)-evoked LFP activity in mPFC, downshifted SWR frequencies in CA1, and enhanced \u03b8-\u03b3 phase-amplitude coupling (PAC) within mPFC. These abnormalities might be linked to the impaired memory, depression, and persevering fear seen after mTBI. Treatment with the cannabinoid type-2 (CB2) receptor inverse agonist SMM-189 has been shown to mitigate functional deficits and neuronal injury after mTBI in mice. We found that SMM-189 also reversed most of the observed neurophysiological abnormalities. This neurophysiological rescue is likely to stem from the previously reported reduction in neuron loss and\/or the preservation of neuronal function and connectivity resulting from SMM-189 treatment, which appears to stem from the biasing of microglia from the proinflammatory M1 state to the prohealing M2 state by SMM-189.<\/jats:p>","DOI":"10.1523\/eneuro.0387-16.2017","type":"journal-article","created":{"date-parts":[[2017,7,27]],"date-time":"2017-07-27T00:10:09Z","timestamp":1501114209000},"page":"ENEURO.0387-16.2017","source":"Crossref","is-referenced-by-count":17,"title":["Abnormalities in Dynamic Brain Activity Caused by Mild Traumatic Brain Injury Are Partially Rescued by the Cannabinoid Type-2 Receptor Inverse Agonist SMM-189"],"prefix":"10.1523","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7384-6176","authenticated-orcid":false,"given":"Yu","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel S.","family":"McAfee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Natalie M.","family":"Guley","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nobel","family":"Del Mar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Bu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Scott A.","family":"Heldt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcia G.","family":"Honig","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"II","given":"Bob M.","family":"Moore","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2146-5232","authenticated-orcid":false,"given":"Anton","family":"Reiner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Detlef H.","family":"Heck","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"393","published-online":{"date-parts":[[2017,7,24]]},"reference":[{"key":"2023041302120641000_4.4.ENEURO.0387-16.2017.1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0293-14.2014"},{"key":"2023041302120641000_4.4.ENEURO.0387-16.2017.2","doi-asserted-by":"crossref","unstructured":"Antonakakis M , Dimitriadis SI , Zervakis M , Rezaie R , Babajani-Feremi A , Micheloyannis S , Zouridakis G , Papanicolaou AC (2015) Comparison of brain connectivity models using cross-frequency coupling and attack strategies. 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