Recent Publications from BIC Researchers

2017

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• Engelhardt LE, Roe MA, Juranek J, DeMaster D, Harden KP, Tucker-Drob EM, Church JA. "Children’s head motion during fMRI tasks is heritable and stable over time", Developmental Cognitive Neuroscience, 2017 Feb;pii: S1878-9293(16)30192-X. doi: 10.1016/j.dcn.2017.01.011.

2016

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• Demir-Lira ÖE, Voss JL, O’Neil JT, Briggs-Gowan MJ, Wakschlag LS, Booth JR. “Early-life stress exposure associated with altered prefrontal resting-state fMRI connectivity in young children”, Developmental Cognitive Neuroscience, 2016 Jun;19:107-14. doi: 10.1016/j.dcn.2016.02.003.
• Greene DJ, Church JA, Dosenbach NU, Nielsen AN, Adeyemo B, Nardos B, Petersen SE, Black KJ, Schlaggar BL. “Multivariate pattern classification of pediatric Tourette syndrome using functional connectivity MRI”, Developmental Science, 2016 Jul;19(4):581-98. doi: 10.1111/desc.12407.
• Shearrer GE, House BT, Gallas MC, Luci JJ, Davis JN. “Fat Imaging via Magnetic Resonance Imaging (MRI) in Young Children (Ages 1-4 Years) without Sedation”, PLoS One, 2016 Feb;11(2):e0149744. doi: 10.1371/journal.pone.0149744.
• Pasha EP, Birdsill A, Parker P, Elmenshawy A, Tanaka H, Haley AP. “Visceral adiposity predicts subclinical white matter hyperintensities in middle-aged adults”, Obesity Research & Clinical Practice, 2016 Apr 28. pii: S1871-403X(16)30015-1. doi: 10.1016/j.orcp.2016.04.003.
• Henry ML, Wilson SM, Babiak MC, Mandelli ML, Beeson PM, Miller ZA, Gorno-Tempini ML. “Phonological Processing in Primary Progressive Aphasia”, Journal of Cognitive Neuroscience, 2016 Feb;28(2):210-22. doi: 10.1162/jocn_a_00901.
• Bakkour A, Lewis-Peacock JA, Poldrack RA, Schonberg T. “Neural mechanisms of cue-approach training”, NeuroImage, 2016 Sep 24. pii: S1053-8119(16)30536-5. doi: 10.1016/j.neuroimage.2016.09.059.
• Schlichting ML, Guarino KF, Schapiro AC, Turk-Browne NB, Preston AR. “Hippocampal Structure Predicts Statistical Learning and Associative Inference Abilities during Development”, Journal of Cognitive Neuroscience, 2016 Aug 30:1-15. in press.
• Emmert K, Kopel R, Sulzer J, Brühl AB, Berman BD, Linden DE, Horovitz SG, Breimhorst M, Caria A, Frank S, Johnston S, Long Z, Paret C, Robineau F, Veit R, Bartsch A, Beckmann CF, Van De Ville D, Haller S. “Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated?”, NeuroImage, 2016 Jan 1;124(Pt A):806-12. doi: 10.1016/j.neuroimage.2015.09.042.
• Sorace AG, Syed AK, Barnes SL, Quarles CC, Sanchez V, Kang H, Yankeelov TE. “Quantitative [18F]FMISO PET Imaging Shows Reduction of Hypoxia Following Trastuzumab in a Murine Model of HER2+ Breast Cancer”, Molecular Imaging and Biology, 2016 Aug 9 doi:10.1007/s11307-016-0994-1.

2015

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• Schnyer DM, Beevers CG, deBettencourt MT, Sherman SM, Cohen JD, Norman KA, Turk-Browne NB. “Neurocognitive therapeutics: from concept to application in the treatment of negative attention bias”, Biology of Mood & Anxiety Disorders, (2015), doi: 10.1186/s13587-015-0016-y.
• Hammer R, Tennekoon M, Cooke GE, Gayda J, Stein MA, Booth JR. “Feedback associated with expectation for larger-reward improves visuospatial working memory performances in children with ADHD”, Developmental Cognitive Neuroscience, 2015 Aug;14:38-49. doi: 10.1016/j.dcn.2015.06.002.
• Kaur SS, Gonzales MM, Eagan DE, Goudarzi K, Tanaka H, Haley AP. “Inflammation as a mediator of the relationship between cortical thickness and metabolic syndrome”, Brain Imaging and Behavior, 2015 Dec;9(4):737-43. doi: 10.1007/s11682-014-9330-z.
• Lewis-Peacock JA, Drysdale AT, Postle BR. “Neural Evidence for the Flexible Control of Mental Representations”, Cerebral Cortex, 2015 Oct;25(10):3303-13. doi: 10.1093/cercor/bhu130.
• Schlichting ML, Mumford JA, Preston AR. “Learning-related representational changes reveal dissociable integration and separation signatures in the hippocampus and prefrontal cortex”, Nature Communications, 2015 Aug 25;6:8151. doi: 10.1038/ncomms9151.
• Blefari ML, Sulzer J, Hepp-Reymond MC, Kollias S, Gassert R. “Improvement in precision grip force control with self-modulation of primary motor cortex during motor imagery”, Frontiers in Behavioral Neuroscience, 2015 Feb 13;9:18. doi: 10.3389/fnbeh.2015.00018.
• Hormuth DA 2nd, Weis JA, Barnes SL, Miga MI, Rericha EC, Quaranta V, Yankeelov TE. “Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data”, Physical Biology, 2015 Jun 4;12(4):046006. doi: 10.1088/1478-3975/12/4/046006.
• Weis JA, Miga MI, Arlinghaus LR, Li X, Abramson V, Chakravarthy AB, Pendyala P, Yankeelov TE. “Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction-Diffusion Model”, Cancer Research, 2015 Nov 15;75(22):4697-707. doi: 10.1158/0008-5472.CAN-14-2945.

2014

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• Clasen PC, Beevers CG, Mumford JA, Schnyer DM. “Cognitive control network connectivity in adolescent women with and without a parental history of depression”, Developmental Cognitive Neuroscience, (2014), doi: 10.1016/j.dcn.2013.10.008.
• Gullick MM, Booth JR. “Individual differences in crossmodal brain activity predict arcuate fasciculus connectivity in developing readers”, Journal of Cognitive Neuroscience, 2014 Jul;26(7):1331-46. doi: 10.1162/jocn_a_00581.
• Church JA, Schlaggar BL. “Pediatric Tourette syndrome: insights from recent neuroimaging studies”, Journal of Obsessive-Compulsive and Related Disorders, 2014 Oct 1;3(4):386-393. doi: 10.1016/j.jocrd.2014.04.002
• Gonzales MM, Tarumi T, Mumford JA, Ellis RC, Hungate JR, Pyron M, Tanaka H, Haley AP. “Greater BOLD response to working memory in endurance-trained adults revealed by breath-hold calibration”, Human Brain Mapping, 2014 Jul;35(7):2898-910. doi: 10.1002/hbm.22372.
• Mandelli ML, Caverzasi E, Binney RJ, Henry ML, Lobach I, Block N, Amirbekian B, Dronkers N, Miller BL, Henry RG, Gorno-Tempini ML. “Frontal white matter tracts sustaining speech production in primary progressive aphasia”, Journal of Neuroscience, 2014 Jul 16;34(29):9754-67. doi: 10.1523/JNEUROSCI.3464-13.2014.
• Lewis-Peacock JA, Norman KA. “Competition between items in working memory leads to forgetting”, Nature Communications, 2014 Dec 18;5:5768. doi: 10.1038/ncomms6768.
• Schlichting ML, Preston AR. “Memory reactivation during rest supports upcoming learning of related content”, Proceedings of the National Academy of Sciences, 2014 Nov 4;111(44):15845-50. doi: 10.1073/pnas.1404396111.
• Brühl AB, Scherpiet S, Sulzer J, Stämpfli P, Seifritz E, Herwig U. “Real-time neurofeedback using functional MRI could improve down-regulation of amygdala activity during emotional stimulation: a proof-of-concept study”, Brain Topography, 2014 Jan;27(1):138-48. doi: 10.1007/s10548-013-0331-9.

2013

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• Yi, H., Smiljanic, R., & Chandrasekaran, B. (in press). The neural processing of foreign-accented speech and its relationship to listener bias. Frontiers in Human Neuroscience.
• Yi, H., Maddox, W. T., Mumford, J. A., & Chandrasekaran, B. (in press). The role of corticostriatal systems in speech category learning. Cerebral Cortex.
• Ress, D., & Chandrasekaran, B. (2013). "Tonotopic organization in the depth of human inferior colliculus", Frontiers in Human Neuroscience, 7:586, doi: 10.3389/fnhum.2013.00586.
• Flagan, T., Beer, J.S., “Three Ways in Which Midline Regions Contribute to Self-Evaluation”, Frontiers in Human Neuroscience, (2013), doi: 10.3389/fnhum.2013.00450
• Yuh, E.L., Mukherjee, P, Lingsma, H.F., Yue, J.K., Ferguson, A.R., Gordon, W.A., Valadka, A.B., Schnyer, D.M., Okonkwo, D.O., Maas, A.I.R., Manley, G.T., “MRI Improves 3-Month Outcome Prediction in Mild Traumatic Brain Injury”, Annals of Neurology, (2013), in press.
• Wolosin, S.M., Zeithamova, D., Preston, A.R., “Distributed hippocampal patterns that discriminate reward context are associated with enhanced associative binding”, Journal of Experimental Psychology: General, (2013), doi: 10.1037/a0033609.
• Mack, M.L., Preston, A.R., Love, B.C, “Decoding the brain’s algorithm for categorization from its neural implementation”, Current Biology, (2013), doi: 10.1016/j.cub.2013.08.035.
• Hugher, B.L., Beer, J.S., “Protecting the self: The effect of social-evaluative threat on neural representations of self”, Journal of Cognitive Neuroscience, (2013), doi: 10.1162/jocn_a_00343.
• Bhanji, J.P, Beer, J.S., “Dissociable neural modulation underlying lasting first impressions, changing your mind for the better, and changing it for the worse”, Journal of Neuroscience, (2013), doi: 10.1523/?JNEUROSCI.5634-12.2013.
• Davis, T., Poldrack, R.A., “Quantifying the Internal Structure of Categories Using a Neural Typicality Measure”, Frontiers in Neuroinformatics, (2013), doi: 10.1093/cercor/bht014
• Poldrack, R.A., Barch, D.M., Mitchell, J.P., Wagner, T.D., Wagner, A.D., Devlin, J.T., Cumba, C., Koyejo, O., Milham, M.P., “Toward open sharing of task-based fMRI data: the OpenfMRI project”, Frontiers in Neuroinformatics, (2013), doi:10.3389/fninf.2013.00012.
• Davis, T., Poldrack, R.A., “Measuring neural representations with fMRI: practices and pitfalls”, Annals of the New York Academy of Sciences, (2013), DOI: 10.1111/nyas.12156.
• Brakewood, B., Poldrack, R.A., “The ethics of secondary data analysis: Considering the application of Belmont principles to the sharing of neuroimaging data”, Neuroimage, (2013), DOI: 10.1016/j.neuroimage.2013.02.040.

2012

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• White, C.N., Mumford, J.A., Poldrack, R.A., “Perceptual Criteria in the Human Brain”, The Journal of Neuroscience,(2012), 32(47), 16716-16724.
• Mumford, J.A., “A power calculation guide for fMRI studies”, Social,Cognitive,and Affective Neuroscience,(2012), 7(6), 738-42.
• Zeithamova, D., Dominick, A.L., Preston, A.R. , “Hippocampal and ventral medial prefrontal activation during retrieval-mediated learning supports novel inference”, Neuron,(2012), 75(1), 168-179.
• Zeithamova, D., Dominick, A.L., Preston, A.R., “The hippocampus and inferential reasoning: Building memories to navigate future decisions”, Frontiers in Human Neuroscience,(2012), 6, 70.
• Davis, T.H., Love, B.C., Preston, A.R. , “Learning the exception to the rule: Model- based fMRI reveals specialized representations for surprising category members”, Cerebral Cortex,(2012), 22(2), 260-273.
• Hughes, B.L., Beer, J.S., “Orbitofrontal cortex and anterior cingulate cortex are modulated by motivated social cognition”, Cerebral Cortex,(2012), doi: 10.1093/cercor/bhr213.
• Wolosin, S.M., Zeithamova, D., Preston, A.R. “Reward modulation of hippocampal subfield activation during successful associative encoding and retrieval”, Journal of Cognitive Neuroscience,(2012), 24(7), 1532-47.
• Wetherill, R.R., Schnyer, D.M., Fromme, K., “Acute Alcohol Effects on Contextual Memory BOLD Response: Differences Based on Fragmentary Blackout History”, The Journal of Neuroscience,(2012), DOI: 10.1111/j.1530-0277.2011.01702.x.
• Davis, T.H., Love, B.C., Preston, A.R., “Striatal and hippocampal entropy and recognition signals in category learning: Simultaneous processes revealed by model- based fMRI”, The Journal of Experimental Psychology: Learning, Memory, & Cognition,(2012), 38(4), 821-39.
• Pacheco, J., Beevers, C.G., McGeary, J.E., Schnyer, D.M., “Memory monitoring performance and PFC activity are associated with 5-HTTLPR genotype in older adults”, Neuropsychologica, (2012), 50(9), 2257-2270.
• Hughes, B.L., Beer, J.S., “Medial orbitofrontal cortex is associated with shifting decision thresholds in self-serving cognition”, NeuroImage,(2012), doi: 10.1016/j.neuroimage.2012.03.011.
• Kornguth, S., Steinberg, R., Schnyer, D., Trujillo, L., “Integrating the Human in the the Total System: Degradation of Performance Under Stress”, Naval Engineers Journal,(2012).

2011

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• Gonzales, M.M., Tarumi, T., Miles, S., Tanaka, H., Shah, F., Haley A.P., “Functional MR Imaging Evidence of Altered Functional Activation in Metabolic Syndrome”, Journal of Neuroradiology, (2011), 132, 541-547.

2010

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• Freeman, H. D., Beer, J. S., “Frontal lobe activation mediates the relation between sensation-seeking and cortisol increases”, Journal of Personality, (2010)78(5), 1497-1528.
• Zeithamova, D., Preston, A.R., “Flexible memories: Differential roles for medial temporal lobe and prefrontal cortex in cross-episode binding”, Journal of Neuroscience, (2010) 30(44), 14676-84.
• Haley, A.P., Tarumi, T., Gonzales, M.M., Sugawara, J., Tanaka, H., “Subclinical atherosclerosis is related to lower neuronal integrity in middle-aged adults: a 1H MRS study”, Brain Research, (2010), 1344, 54-61.
• Saggar, M., Miikkulainen, R.P., Schnyer, D.M., “Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming”, Brain Research, (2010), 1315, 75-91.
• Beer, J. S., Hughes, B. L., “Neural systems of social comparison and the above-average effect”, NeuroImage, (2010), 49(3), 2671-2679.
• Beevers, C, Pacheco, J., Clasen, P. McGeary, J., Schnyer, D.M., “Prefrontal Morphology, 5-HTTLPR Polymorphism, and Biased Attention for Emotional Stimuli”, Genes, Brain and Behavior, (2010), 9(2), 224-233.
• Rocklage, M., Maddox, W.T., Trujillo, L.T., Schnyer, D.M. , “Individual differences to sleep deprivation vulnerability and the neural connection with task strategy, metacognition, visual spatial attention, and white matter differences”, In S. Kornguth, R. Steinberg, & M.D. Matthews (Eds). Neurocognitive and physiological factors during high-temp operations. Ashgate Publishing, Burlington. VT. (2010)
• Beevers, C, Clasen, P., Stice, E, Schnyer, D.M., “Depression Symptoms and Cognitive Control of Emotion Cues: An fMRI Study”, Brain and Cognition, Neuroscience, (2010), 167(1). 97-103.
• Gonzales, M.M., Tarumi, T., Tanaka, H., Sugawara, J., Swann-Sternberg, T., Goudarzi, K., Haley, A.P., “Functional imaging of working memory and peripheral endothelial function in middle-aged adults”, Brain and Cognition, 73, (2010), 146-151.
• Mehta, P., Beer, J. S. , “Neural mechanisms of the testosterone-aggression relation: The role of orbitofrontal cortex” Journal of Cognitive Neuroscience, (2010) 22, 2357-2368.

2009

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• Schnyer, D.M., Zeithamova, D., Williams, T., “Decision Making Under Conditions of Sleep Deprivation: Cognitive and Neural Consequences”, Military Psychology, (2009), 21(S1), S36-S45.
• Beevers, C.G., Schnyer, D.M., “An ERP Examination of the Differential Effects of Sleep Deprivation on Exogenously Cued and Endogenously Cued Attention”, Sleep, (2009), 32(10), 1285-1297.
• Rocklage, M, Williams, V, Pacheco, J., Schnyer, D.M. , “White matter differences predict cognitive vulnerability to sleep deprivation”, Sleep, (2009), 32(8), 1100-1103.
• Beevers, C.G., Schnyer, D.M., “Serotonin and Cognitive Control of Emotion in Depression Vulnerability”, Frontiers in Neuroscience, (2009), 3(2).
• Rokers, B, Cormack, L.K., Huk, A.C., “Disparity- and velocity-based signals for three-dimensional motion perception in human MT+”, Nature Neuroscience, (2009), 12, 1050-1055.
• Ress, D., Thompson, J.K., Rokers, B., Khan, R., Huk, A.C., “A model for transient oxygen delivery in cerebral cortex”, Frontiers in Neuroenergetics, (2009), 1:3, doi:10.3389/neuro.14.003.2009.
• Pacheco, J., Beevers, C.G., Benavides, C., McGeary, J., Stice, E., Schnyer, D.M., “Frontal-Limbic White Matter Pathway Associations with the Serotonin Transporter Gene Promoter Region (5-HTTLPR) Polymorphism”, The Journal of Neuroscience, (2009), 29:19, 6229-6233.
• Rocklage, M., Williams, V., Pacheco, J., Schnyer, D.M., “White Matter Differences Predict Cognitive Vulnerability to Sleep Deprivation”, Sleep, (2009), 32(8), 1100-1103.

2008

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• Zeithamova, D., Maddox, W.T., Schnyer, D.M. , “Dissociable Prototype Learning Systems: Evidence from Brain Imaging and Behavior”, Journal of Neuroscience, (2008), 28, 13194-13201.
• Andrew T. Heitsch, Danielle K. Smith, Reken N. Patel, David Ress, Brian A. Korgel, “Multifunctional particles: Magnetic nanocrystals and gold nanorods coated with ?uorescent dye-doped silica shells”, Journal of Solid State Chemistry, (2008), 181, 1590–1599.
• Rokers,B., Cormack,L.K., Huk,A.C., “Strong percepts of motion through depth without strong percepts of position in depth”, Journal of Vision, (2008), 8(4):6, 1-10.
• Huk, A.C., “Visual neuroscience: Retinotopy meets percep-otopy?”, Current Biology, (2008), 18, R1005-1007.
• Kirson, D., Huk, A.C., Cormack, L.K., “Quantifying spatial uncertainty of visual area boundaries in neuroimaging data”, Journal of Vision, (2008), 8(10), 1-15.