Kimberlee D'Ardenne

Affiliations: 
2008 Princeton University, Princeton, NJ 
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"Kimberlee D'Ardenne"
Mean distance: 14.5 (cluster 23)
 
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Jonathan D. Cohen grad student 2008 Princeton
 (Brainstem neuroimaging: The human dopamine system.)
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Publications

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Elliott BL, D'Ardenne K, Murty VP, et al. (2022) Midbrain-Hippocampus Structural Connectivity Selectively Predicts Motivated Memory Encoding. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Elliott BL, D'Ardenne K, Mukherjee P, et al. (2021) Limbic and Executive Meso- and Nigro-striatal Tracts Predict Impulsivity Differences in ADHD. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
Patock-Peckham JA, Belton DA, D'Ardenne K, et al. (2020) Dimensions of childhood trauma and their direct and indirect links to PTSD, impaired control over drinking, and alcohol-related-problems. Addictive Behaviors Reports. 12: 100304
Hétu S, Luo Y, D'Ardenne K, et al. (2017) Human substantia nigra and ventral tegmental area involvement in computing social error signals during the ultimatum game. Social Cognitive and Affective Neuroscience
Hétu S, Luo Y, Saez I, et al. (2016) Asymmetry in functional connectivity of the human habenula revealed by high-resolution cardiac-gated resting state imaging. Human Brain Mapping
Hennigan K, D'Ardenne K, McClure SM. (2015) Distinct midbrain and habenula pathways are involved in processing aversive events in humans. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 198-208
D'Ardenne K, Lohrenz T, Bartley KA, et al. (2013) Computational heterogeneity in the human mesencephalic dopamine system. Cognitive, Affective & Behavioral Neuroscience. 13: 747-56
D'Ardenne K, Eshel N, Luka J, et al. (2012) Role of prefrontal cortex and the midbrain dopamine system in working memory updating. Proceedings of the National Academy of Sciences of the United States of America. 109: 19900-9
Daubechies I, Roussos E, Takerkart S, et al. (2009) Independent component analysis for brain fMRI does not select for independence. Proceedings of the National Academy of Sciences of the United States of America. 106: 10415-22
McClure SM, D'Ardenne K. (2009) Computational neuroimaging. Monitoring reward learning with blood flow Handbook of Reward and Decision Making. 229-247
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