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Dr. LaConte's Publications

For a more complete list of publications, visit the following publication sites: PubMed

Luo Y, Hétu S, Lohrenz T, Hula A, Dayan P, Ramey SL, Sonnier-Netto L, Lisinski J, LaConte S, Nolte T, Fonagy P, Rahmani E, Montague PR, Ramey C. (2018). Early childhood investment impacts social decision-making four decades later. Nature Communications 9(1): 4705. 

Snider SE, Deshpande HU, Lisinski JM, Koffarnus MN, LaConte SM, Bickel WK. (2018). orking memory training improves alcohol users’ episodic future thinking: a rate dependent analysis. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 3(2): 160-7.

Lee-Park JJ, Deshpande H, Lisinki J, LaConte S, Ramey SL, DeLuca S. (2018). Neuroimaging strategies addressing challenges in using fMRI for the children with cerebral palsy. Journal of Behavioral and Brain Science 8: 306-318.

Koffarnus MN, Deshpande HU, Lisinski JM, Eklund A, Bickel WK, LaConte SM. (2017). An adaptive, individualized fMRI delay discounting procedure to increase flexibility and optimize scanner time. Neuroimage 161: 56-66.

Li T, Murphy S, Kiselev B, Bakshi KS, Zhang J, Eltahir A, Zhang Y, Chen Y, Zhu J, Davis RM, Madsen LA, Morris JR, Karolyi DR, LaConte SM, Sheng Z, Dorn HC. (2015). A New Interleukin-13 Amino-Coated Gadolinium Metallofullerene Nanoparticle for Targeted MRI Detection of Glioblastoma Tumor Cells. Journal of the American Chemical Society 137(24): 7881-8.

Eklund A, Dufort P, Forsberg D, LaConte SM. (2013). Medical image processing on the GPU – Past, present and future. Medical Image Analysis 17(8): 1073-94.

Craddock RC, Milham MP, LaConte SM. (2013). Predicting intrinsic brain activity. Neuroimage 82: 127-36.

Sulzer J, Haller S, Scharnowski F, Weiskopf N, Birbaumer N, Blefari ML, Bruehl AB, Cohen LG, DeCharms RC, Gassert R, Goebel R, Herwig U, LaConte S, Linden D, Luft A, Seifritz E, Sitaram R. (2013). Real-time fMRI neurofeedback: Progress and challenges. Neuroimage 76: 386-99.

Eklund A, Villani M, LaConte SM. (2013). Harnessing graphics processing units for improved neuroimaging statistics. Cogn Affect Behav Neurosci 13: 587-97.

Yang Z, Zuo XN, Wang P, Li Z, LaConte SM, Bandettini PA, Hu XP. (2012). Generalized RAICAR: Discover homogeneous subject (sub)groups by reproducibility of their intrinsic connectivity networks. Neuroimage 63(1): 403-14.

Chiew M, LaConte SM, Graham SJ. (2012). Investigation of fMRI neurofeedback of differential primary motor cortex activity using kinesthetic motor imagery. Neuroimage 61(1): 21-31.

Sathian K, Lacey S, Stilla R, Gibson GO, Deshpande G, Hu X, Laconte S, Glielmi C. (2011). Dual pathways for haptic and visual perception of spatial and texture information. Neuroimage 57(2): 462-75.

M. A. McHenry and S. M. LaConte. (2011). Computer Speech Recognition as an Objective Measure of Intelligibility. J Med Speech Lang Pathol 18: 99-103.

S. M. LaConte. (2011). Decoding fMRI brain states in real-time. NeuroImage 56: 440-54.

S. M. LaConte. (2011). Decoding fMRI brain states in real-time. NeuroImage 56: 440-54.

Williams KA, Magnuson M, Majeed W, LaConte SM, Peltier SJ, Hu X, Keilholz SD. (2010). Comparison of alpha-chloralose, medetomidine and isoflurane anesthesia for functional connectivity mapping in the rat. Magn Reson Imaging 28(7): 995-1003.

Z. Yang, S. LaConte, X. Weng, and X. Hu. (2008). Ranking and averaging independent component analysis by reproducibility (RAICAR). Hum Brain Mapp 29: 711–725.

S. M. LaConte, S. J. Peltier, and X. P. Hu. (2007). Real-time fMRI using brain-state classification. Hum Brain Mapp 208: 1033–1044.

S. LaConte, S. Strother, V. Cherkassky, J. Anderson, and X. Hu. (2005). Support vector machines for temporal classification of block design fMRI data. Neuroimage 26: 317–329.