New Haven, CT 06519
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Anticevic A, Cole MW, Repovs G, Savic A, Driesen NR, Yang G, Cho YT, Murray JD, Glahn DC, Wang XJ, Krystal JH. Connectivity, pharmacology, and computation: toward a mechanistic understanding of neural system dysfunction in schizophrenia. Front Psychiatry. 2013 Dec 24;4:169. doi: 10.3389/fpsyt.2013.00169. PubMed PMID: 24399974; PubMed Central PMCID: PMC3871997.
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Pictured is a parameter space of a biophysically-realistic computational model of working memory, with hypothesized neural system effects of N-methyl-D-aspartate receptor antagonism. Anticevic et al. report a pharmacological neuroimaging study illustrating glutamateÃ¢â‚¬â„¢s key role in typically observed anti-correlation pattern in the human brain during working memory. Authors propose a parsimonious computational model for observed effects, suggesting that long-distance inhibitory projections mediate the observed anti-correlation. Image courtesy of John D. Murray and Alan Anticevic.
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Prefrontal dysconnectivity in schizophrenia. Cole, M.W., Anticevic, A., Repovs, G., Barch, D.M. (In Press). Variable Global Dysconnectivity and Individual Differences in Schizophrenia. Biological Psychiatry.
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Regions showing suppression during successful encoding of information into working memory. Selected from: Anticevic, A., Repovs, G., Shulman, G.L., & Barch, D.M. (2009). When less is more: TPJ and default network deactivation during encoding predicts working memory performance. Neuroimage, 41(2010), 2638-48.
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Amygdala functional connectivity in healthy adults. Anticevic, A., Repovs, G., Barch. (2010). Resisting emotional interference: brain regions facilitating working memory performance during negative distraction. Cognitive, Affective & Behavioral Neuroscience, 10(2), 159-173.