Vani Pariyadath

Affiliations: 
National Institute on Drug Abuse 
Area:
Time perception, Drug addiction
Google:
"Vani Pariyadath"
Mean distance: 13.72 (cluster 23)
 
SNBCP
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Publications

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Dick AS, Lopez DA, Watts AL, et al. (2021) Meaningful Associations in the Adolescent Brain Cognitive Development Study. Neuroimage. 118262
Hagler DJ, Hatton S, Cornejo MD, et al. (2019) Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. Neuroimage. 116091
Pariyadath V, Gowin JL, Stein EA. (2016) Resting state functional connectivity analysis for addiction medicine: From individual loci to complex networks. Progress in Brain Research. 224: 155-73
Pariyadath V, Stein EA, Ross TJ. (2014) Machine learning classification of resting state functional connectivity predicts smoking status. Frontiers in Human Neuroscience. 8: 425
Pariyadath V, Plitt MH, Churchill SJ, et al. (2012) Why overlearned sequences are special: distinct neural networks for ordinal sequences. Frontiers in Human Neuroscience. 6: 328
Pariyadath V, Eagleman DM. (2012) Subjective duration distortions mirror neural repetition suppression. Plos One. 7: e49362
Sutherland MT, McHugh MJ, Pariyadath V, et al. (2012) Resting state functional connectivity in addiction: Lessons learned and a road ahead. Neuroimage. 62: 2281-95
Sadeghi NG, Pariyadath V, Apte S, et al. (2011) Neural correlates of subsecond time distortion in the middle temporal area of visual cortex. Journal of Cognitive Neuroscience. 23: 3829-40
Pariyadath V, Eagleman D. (2010) Using the proliferation effect to study subjective duration at brief timescales Journal of Vision. 9: 1089-1089
Eagleman DM, Pariyadath V. (2009) Is subjective duration a signature of coding efficiency? Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 364: 1841-51
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