Publications

Preprints: bioRxiv

Basic Science

Slater, B.J., Sons S.K., Yudintsev G., Lee C.M. and D.A. Llano (2019). Thalamocortical and intracortical inputs differentiate layer-specific mouse auditory corticocollicular neurons. Journal of Neuroscience, Jan 9;39(2):256-270. [pdf]

Gribkova, E.D., Ibrahim, B.A. and D.A. Llano (2018). A novel mutual information estimator to measure spike train correlations in a model thalamocortical network. Journal of Neurophysiology, Dec 1;120(6):2730-2744. [pdf]

Sottile S.Y., Hackett T.A., Cai R., Llano D.A., and D.M. Caspary (2017). Presynaptic neuronal nicotinic receptors differentially shape select inputs to auditory thalamus and are negatively impacted by aging. Journal of Neuroscience, Nov 22;37(47):11377-11389. [pdf]

Ibrahim, B. A., Wang, H., Lesicko, A. M. H., Bucci, B., Paul, K., & Llano, D. A. (2017). Effect of temperature on FAD and NADH-derived signals and neurometabolic coupling in the mouse auditory and motor cortex. JPflügers Archiv - European Journal of Physiology, Dec;469(12):1631-1649. [pdf]

Patel, M., Sons, S., Yudintsev, G., Lesicko, A. M. H., Yang, L., Taha, G. A., Pierce, S. M., & Llano, D. A. (2017). Anatomical characterization of subcortical descending projections to the inferior colliculus in mouse. Journal of Comparative Neurology, 525(4), 885-900. [pdf]

Lesicko, A. M. H., Hristova, T. S., Maigler, K. C., & Llano, D. A. (2016). Connectional modularity of top-down and bottom-up multimodal inputs to the lateral cortex of the inferior colliculus. Journal of Neuroscience, 36(43), 11037-11050. [pdf]

Paul, K., Cauller, L. J., & Llano, D. A. (2016). Presence of a chaotic region at the sleep-wake transition in a simplified thalamocortical circuit model. Frontiers in Computational Neuroscience, 10. [pdf]

Stebbings, K. A., Choi, H. W., Ravindra, A., & Llano, D. A. (2016). The impact of aging, hearing loss and body weight on mouse hippocampal redox state, measured in brain slices using fluorescence imaging. Neurobiology of Aging, 42, 101-9. [pdf]

Stebbings, K. A., Choi, H. W., Ravindra, A., Caspary, D. M., Turner, J. G., & Llano, D. A. (2016). Aging-related changes in GABAergic inhibition in the mouse auditory cortex, measured using in vitro flavoprotein autofluoresence imaging. Journal of Physiology, 594(1), 207-21. [pdf]

Willis, A. M., Slater, B. J., Gribkova, E., & Llano, D. A. (2015). Open-loop organization of thalamic reticular nucleus and dorsal thalamus: A computational model. Journal of Neurophysiology, 114(4), 2353-67. [pdf]

Slater, B. J., Fan, A., Stebbings, K. A., Saif, T., & Llano, D. A. (2015). Modification of a colliculo-thalamocortical mouse brain slice, incorporating 3-D printing of chamber components and multi-scale optical imaging. Journal of Visualized Experiments (JoVE), (103), e53067-e53067. [pdf]

Llano, D. A., Slater, B. J., Lesicko, A. M. H., & Stebbings, K. A. (2014). An auditory colliculo-thalamocortical brain slice preparation in mouse. Journal of Neurophysiology, 111(1):197-207. [pdf]

Llano, D. A., Turner, J., & Caspary, D. M. (2012). Diminished cortical inhibition in an aging mouse model of chronic tinnitus. Journal of Neuroscience, 32(46), 16141-8. [pdf]

Varela, C., Llano, D. A., & Theyel, B. B. (2012). An Introduction to in vitro slice approaches for the study of neuronal circuitry. In Neuronal Network Analysis (pp. 103-125). Humana Press. [pdf]


Clinical & Translational

Llano, D.A., Devanarayan, P., and V. Devanarayan (2019). VGF in cerebrospinal fluid combined with conventional biomarkers enhances prediction of conversion from MCI to Alzheimer’s Disease. Alzheimer Disease and Associated Disorders, In Press. [pdf]

Esmaeeli, S., Murphy K., Swords, GM, Ibrahim BA, Brown JW, D.A. Llano (2019). Visual hallucinations, thalamocortical physiology and Lewy Body Disease: A review. Neuroscience and Biobehavioral Reviews, In Press. [pdf]

Devanarayan, P., Devanarayan, V. and D.A. Llano (2019). Identification of a simple and novel cut-point based CSF and MRI signature for predicting Alzheimer’s disease progression that reinforces the 2018 NIA-AA research framework. Journal of Alzheimer Disease, 68(2):537-550. [pdf]

Swords G.M., Nguyen L.T., Mudar R.A. and D.A. Llano (2018). Auditory system dysfunction in Alzheimer Disease and its prodromal states: A review. Ageing Reseaerch Reviews, Apr 6;44:49-59. [pdf]

Llano, D. A., Mudar, R., Bundela, S., & Devanarayan, D. (2017). A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progression. PLOS One, Aug 3;12(8):e0182098. [pdf]

Wang, H., Kim, M., Normoyle, K. P., Llano, D. (2016). Thermal regulation of the brain – an anatomical and physiological review for clinical neuroscientists. Frontiers in Neuroscience, 9. [pdf]

Llano, D. A., & Small, S. L. (2015). Pharmacotherapy for aphasia. In Hickok, G., & Small, S. (Eds.), The Neurobiology of Language. Elsevier Publishers.

Llano, D. A., & Small, S. L. (2015). Biological approaches to treatment of aphasia. In A. E., Hillis (Ed.), Handbook on Adult Language Disorders. Taylor & Francis Publishers.

Llano, D. A., Devanarayan, V., & Simon, A. (2013). Evaluation of plasma proteomic data for Alzheimer’s Disease state classification and for prediction of progression from mild cognitive impairment to Alzheimer Disease. Alzheimer Disease and Associated Disorders, 27(3), 233-43. [pdf]

Llano, D. A., Li, J., Lenz, R. A., Ellis, T., Cassar, S., Groebe, D., Gopalakrishnan, M., & Waring, J. F. (2012). Evidence for disrupted CNS inflammatory dynamics in Alzheimer’s Disease. Alzheimer Disease and Associated Disorders, 26(4), 322-8. [pdf]

Llano, D. A., Laforet G., & Devanarayan V. (2011). Derivation of a new ADAS-cog composite using tree-based multivariate analysis: prediction of conversion from mild cognitive impairment to Alzheimer disease. Alzheimer Disease and Associated Disorders, 25(1), 73-84. [pdf]

Small, S. L., & Llano D. A. (2009). Biological approaches to aphasia treatment. Current Neurology and Neuroscience Reports, 9(6), 443-50. [pdf]