Avram J. Holmes

Affiliations: 
Harvard University, Cambridge, MA, United States 
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"Avram Holmes"
Mean distance: 14.49 (cluster 23)
 
SNBCP

Parents

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Diego Pizzagalli grad student 2003-2009 Harvard
 (Action monitoring in depression: ERP and fMRI correlates.)
Randy L. Buckner post-doc 2009-2012 Harvard

Children

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Kevin M. Anderson grad student 2014- Yale
Erica J. Ho grad student 2016- Yale
Lauren M. Patrick grad student 2016- Yale
Monica Rosenberg post-doc Yale
Jenna M. Reinen post-doc 2014-2017 Yale
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Publications

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Baker JT, Dillon DG, Patrick LM, et al. (2019) Functional connectomics of affective and psychotic pathology. Proceedings of the National Academy of Sciences of the United States of America
Li J, Kong R, Liégeois R, et al. (2019) Global signal regression strengthens association between resting-state functional connectivity and behavior. Neuroimage
DeCross SN, Farabaugh AH, Holmes AJ, et al. (2019) Increased amygdala-visual cortex connectivity in youth with persecutory ideation. Psychological Medicine. 1-11
Kernbach JM, Yeo BTT, Smallwood J, et al. (2018) Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants. Proceedings of the National Academy of Sciences of the United States of America
Kong R, Li J, Orban C, et al. (2018) Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion. Cerebral Cortex (New York, N.Y. : 1991)
Anderson KM, Krienen FM, Choi EY, et al. (2018) Gene expression links functional networks across cortex and striatum. Nature Communications. 9: 1428
Reinen JM, Chén OY, Hutchison RM, et al. (2018) The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis. Nature Communications. 9: 1157
Holmes AJ, Patrick LM. (2018) The Myth of Optimality in Clinical Neuroscience. Trends in Cognitive Sciences
Rosenberg MD, Casey BJ, Holmes AJ. (2018) Prediction complements explanation in understanding the developing brain. Nature Communications. 9: 589
Ge T, Holmes AJ, Buckner RL, et al. (2017) Reply to Risk and Zhu: Mixed-effects modeling as a principled approach to heritability analysis with repeat measurements. Proceedings of the National Academy of Sciences of the United States of America
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