Ibrahim BA, Shinagawa Y, Douglas A, Xiao G, Asilador AR, DA Llano (2023) Microprism-based two-photon imaging of the lateral cortex of the mouse inferior colliculus reveals novel organizational principles of the auditory midbrain. eLife, Reviewed preprint [pdf]
Issa LK, Vaithiyalingam Chandra Sekaran N, DA Llano (2023) Highly branched and complementary distributions of layer 5 and layer 6 auditory corticofugal axons in mouse. Cerebral Cortex, Aug 8;33(16):9566-9582 [pdf]
Ibrahim BA, Louie JJ, Shinagawa Y, Xiao G, Asilador AR, Sable HK, Schantz S, DA Llano (2023) Developmental exposure to polychlorinated biphenyls prevents recovery from noise-induced hearing loss and disrupts the functional organization of the inferior colliculus. Journal of Neuroscience, Jun 21;43(25):4580-4597 [pdf]
Ghimire M, Cai R, Ling L, Brownell KA, Hackett TA, Llano DA, DM Caspary (2023) Increased pyramidal and VIP neuronal excitability in primary auditory cortex directly correlates with tinnitus behavior Journal of Physiology, Jun;601(12):2493-2511.
Naik AG, Kenyon RV, Taheri A, Berger-Wolf T, Ibrahim B, Shinagawa and DA Llano (2023) V-Neurostack: Open-source 3D time stack software for identifying patterns in neuronal data. Journal of Neuroscience Research, Feb;101(2):217-231 [pdf]
Yudintsev, G, Asilador A, Sons S, Vaithiyalingam Chandra Sekaran N, Coppinger M, Nair K, Prasad M, Xiao G, Ibrahim BA, Yoshitaka Shinagawa Y, DA Llano (2021) Evidence for layer-specific connectional heterogeneity in the mouse auditory corticocollicular system. Journal of Neuroscience, Dec 1;41(48):9906-9918 [pdf]
Chandrasekaran NV, Deshpande MS, Ibrahim BA, Xiao G, Shinagawa Y, Llano DA (2021) Patterns of unilateral and bilateral projections from layer 5 and 6 of the auditory cortex to the inferior colliculus in mouse. Frontiers in Systems Neuroscience, Oct 21;15:674098. [pdf]
Ibrahim BA, Murphy C, Yudintsev G, Shinagawa Y, Banks MI, Llano DA (2021) Corticothalamic gating of population auditory thalamocortical transmission in mouse. eLife, May 24;10:e56645. [pdf]
Llano DA , Ma C, Di Fabrizio U, Taheri A, Stebbings KA, Yudintsev G, Xiao G, Kenyon RV, Berger-Wolf TY (2021) A novel dynamic network imaging analysis method reveals aging-related fragmentation of cortical networks in mouse. Network Neuroscience, Jun 21;5(2):569-590. [pdf]
Asilador A, D.A. Llano (2021) Top-down inference in the auditory system: Potential roles for corticofugal projections. Frontiers in Neural Circuits, Jan 22;14:615259. [pdf]
Lee CM, Sadowski RN, Schantz SL, Llano DA (2021) Developmental PCB exposure disrupts synaptic transmission and connectivity in the rat auditory cortex, independent of its effects on peripheral hearing threshold. eNeuro, Jan 14:ENEURO.0321-20. [pdf]
Lesicko A.M.H., Sons S.K., D.A. Llano (2020) Circuit mechanisms underlying the segregation and integration of parallel processing streams in the inferior colliculus. Journal of Neuroscience, Aug 12;40(33):6328-6344. [pdf]
Brown J.W., Taheri A., Kenyon R.V., Berger-Wolf T., D.A. Llano (2020) Propagation of cortical activity via open-loop intrathalamic architectures: a computational analysis. eNeuro, Feb 25;7(1). [pdf]
Zhao Y., Maguluri G., Ferguson R.D., Tu H., Paul K., Boppart S.A., Llano D.A., Iftimia N. (2020) A portable low-cost two-photon microscope using a fiber-delivered supercontinuum generation source. Optics Letters, Feb 15;45(4):909-912.
Liu Y-Z, Renteria C, Courtney CD, Ibrahim B, You S, Chaney EG, Barkalifa R, Iyer RR, Zurauskas M, Tu H, Llano DA, Christian CA, SA Boppart (2020) Simultaneous two-photon activation and imaging of neural activity based on spectral-temporal modulation of supercontinuum light. Neurophotonics, Oct;7(4):045007.
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]
Kwok SS, Nguyen X-MT, Wu D, Mudar RA, and DA Llano (2022) Pure tone audiometry and hearing loss in Alzheimer's disease: A metaanalysis. Frontiers in Psychology. Jan 21;12:788045.
Llano, D.A., Kwok S.S. and V. Devanarayan (2021). Reported hearing loss in Alzheimer disease is associated with loss of brainstem and cerebellar volume. Frontiers in Human Neuroscience. Sep 24;15:739754.
Llano, D.A. and V. Devanarayan (2021). Serum phosphatidylethanolamine and lysophosphatidylethanolamine levels differentiate Alzheimer Disease from controls and predict progression from mild cognitive impairment. Journal of Alzheimer Disease. 80(1):311-319.
Llano, D.A., Issa, L.K., Devanarayan, P., and V. Devanarayan (2020). Hearing loss in Alzheimer Disease is associated with altered serum lipidomic biomarker profiles. Cells. Nov 28;9(12):E2556. [pdf]
Nadhimi Y. and Llano, D.A. (2020). Does hearing loss cause dementia? A review of the literature. Hearing Research, Jul 30:108038. [pdf]
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, Oct-Dec;33(4):307-314. [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, Volume 103, August 2019, Pages 337-351. [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.
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]