2019

Huckins, J.F., daSilva, A.W., Wang, R., Wang, W., Hedlund, E.L., Murphy, E.I., … Wagner, D.D., Haxby, J.V., Campbell, A.T. (2019). Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students. Frontiers in Neuroscience, 13(March), 1–15. https://doi.org/10.3389/fnins.2019.00248

Huckins, J.F., Adeyemo, B., Miezin, F.M., Power, J.D., Gordon, E.M., Laumann, T.O., … (2019). Reward-related regions form a preferentially coupled system at rest. Human Brain Mapping, 40(2), 361–376. https://doi.org/10.1002/hbm.24377

DaSilva, A.W., Huckins, J.F., Wang, R., Wang, W., Wagner, D.D., & Campbell, A.T. (2019). Correlates of Stress in the College Environment Uncovered by the Application of Penalized Generalized Estimating Equations to Mobile Sensing Data. JMIR MHealth and UHealth, 7(3), e12084. https://doi.org/10.2196/12084

2018

Wang, R., Wang, W., DaSilva, A., Huckins, J.F., … & Campbell, A.T. (2018). Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(1), 1–26. https://doi.org/10.1145/3191775

Cleary, S.E., Barnett, E.R., Huckins, J.F., Butcher, R.L., & Jankowski, M.K. (2018). A comparison of foster and adoptive parent satisfaction and commitment. Children and Youth Services Review, 88(March), 205–210. https://doi.org/10.1016/j.childyouth.2018.03.010

2016

Gordon, E.M., Laumann, T.O., Adeyemo, B., Huckins, J.F., … & Petersen, S.E. (2016). Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations. Cerebral Cortex, 26(1), 288–303. https://doi.org/10.1093/cercor/bhu239

Rapuano, K.M., Huckins, J.F., Sargent, J.D., … (2016). Individual Differences in Reward and Somatosensory-Motor Brain Regions Correlate with Adiposity in Adolescents. Cerebral Cortex, 26(6), 2602–2611. https://doi.org/10.1093/cercor/bhv097

2014

Zuo, X.-N., Anderson, J.S., … Huckins, J., … Milham, M.P. (2014). An open science resource for establishing reliability and reproducibility in functional connectomics. Scientific Data, 1(1), 140049. https://doi.org/10.1038/sdata.2014.49

2013

Lord, L.D., Expert, P., Huckins, J.F., & Turkheimer, F.E. (2013). Cerebral Energy Metabolism and the Brain’s Functional Network Architecture: An Integrative Review. Journal of Cerebral Blood Flow & Metabolism, 33(9), 1347–1354. https://doi.org/10.1038/jcbfm.2013.94

2012 and earlier

Sigoillot, F.D., Lyman, S., Huckins, J.F., Adamson, B., Chung, E., Quattrochi, B., & King, R.W. (2012). A bioinformatics method identifies prominent off-targeted transcripts in RNAi screens. Nature Methods, 9(4), 363–366. https://doi.org/10.1038/nmeth.1898

Sigoillot, F.D., Huckins, J.F., Li, F., Zhou, X., Wong, S.T.C., & King, R.W. (2011). A Time-Series Method for Automated Measurement of Changes in Mitotic and Interphase Duration from Time-Lapse Movies. PLoS ONE, 6(9), e25511. https://doi.org/10.1371/journal.pone.0025511

Wang, M., Zhou, X., Li, F., Huckins, J., King, R.W., & Wong, S.T.C. (2008). Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy. Bioinformatics, 24(1), 94–101. https://doi.org/10.1093/bioinformatics/btm530

Liang, L., Zhou, X., Li, F., Wong, S.T., Huckins, J., & King, R.W. (2007). Mitosis cell identification with conditional random fields. In 2007 IEEE/NIH Life Science Systems and Applications Workshop (pp. 9–12). IEEE. https://doi.org/10.1109/LSSA.2007.4400872