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  • Li G, Thung KH, Taylor HP, Huynh KM, Lin W, Ahmad S, Yap PT. The effective connectome over a century of human life. (under review).

Journal Papers

  • Li G, Hsu LM, Wu Y, Bozoki AC, Shih YY, Yap PT (2025) Revealing excitation-inhibition imbalance in Alzheimer’s disease using multiscale neural model inversion of resting-state fMRI. Communications Medicine 5: 17. [link]
  • Peace ST, Johnson BC, Li G, Kaiser M, Fukunaga I, Schaefer AT, Molnar AC, Cleland TA (2024) Coherent olfactory bulb gamma oscillations arise from coupling independent columnar oscillators. Journal of Neurophysiology 131: 492-508. [link]
  • Jiang W, Zhou Z, Li G, Yin W, Wu Z, et al. (2023) Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of life. Dev Cogn Neurosci 63: 101284. [link]
  • Ghanbari M, Li G, Hsu L-M, Yap PT (2023) Accumulation of network redundancy marks the early stage of Alzheimer’s disease. Human Brain Mapping 44: 2993-3006. [link]
  • Li G, Yap PT (2022) From descriptive connectome to mechanistic connectome: Generative modeling in fMRI analysis. Front Hum Neurosci 16: 940842. [link]
  • Ma L, Lian C, Kim D, Xiao D, Wei D, Liu Q, Kuang T, Ghanbari M, Li G, Gateno J, Shen SG, Wang L, Shen D, Xia JJ, Yap PT (2022) Bidirectional prediction of facial and bony shapes for orthognathic surgical planning. Medical Image Analysis 83: 102644. [link]
  • Li G, Liu Y, Zheng Y, Wu Y, Li D, Liang X, Chen Y, Cui Y, Yap PT, Qiu S, Zhang H, Shen D (2021) Multiscale neural modeling of resting-state fMRI reveals executive-limbic malfunction as a core mechanism in major depressive disorder. Neuroimage: Clinical 31: 102758. [link]
  • Hu D, Wang F, Zhang H, Wu Z, Zhou Z, Li G, Wang L, Lin W, Li G, UNC/UMN Baby Connectome Project Consortium (2021) Existence of functional connectome fingerprint during infancy and its stability over months. The Journal of Neuroscience 42: 377-389. [link]
  • Li G, Liu Y, Zheng Y, Li D, Liang X, Chen Y, Cui Y, Yap P, Qiu S,  Zhang H, Shen D (2020) Large-scale dynamic causal modeling of major depressive disorder based on resting-state fMRI. Human Brain Mapping 1-17. [link]
  • Li G, Henriquez CS, Fröhlich F (2019) Rhythmic modulation of thalamic oscillations depends on intrinsic cellular dynamics. Journal of Neural Engineering 16: 016013. [link]
  • Li G, Henriquez CS, Fröhlich F (2017) Unified thalamic model generates multiple distinct oscillations with state-dependent entrainment by stimulation. PLoS Computational Biology 13(10): e1005797. [link]
  • Li G, Cleland TA (2017) A coupled-oscillator model of olfactory bulb gamma oscillations. PLoS Computational Biology 13(11): e1005760. [link]
  • Li G, Linster C, Cleland TA (2015) Functional differentiation of cholinergic and noradrenergic modulation in a biophysical model of olfactory bulb granule cells. Journal of Neurophysiology 114: 3177-3200. [link]
  • Li G, Cleland TA (2013) A two-layer biophysical model of cholinergic neuromodulation in olfactory bulb. The Journal of Neuroscience 33:3037–3058. [link]
  • Sethupathy P, Rubin DB, Li G, Cleland TA (2013) A model of electrophysiological heterogeneity in periglomerular cells. Frontiers in Computational Neuroscience 7:49. [link]
  • Li G, Amano T, Pare D, Nair SS (2011) Impact of infralimbic inputs on intercalated amygdala neurons: a biophysical modeling study. Learning & Memory 18:226-240. [link]
  • Li G, Nair SS, Quirk GJ (2009) A biologically realistic network model of acquisition and extinction of conditioned fear associations in lateral amygdala neurons. Journal of Neurophysiology 101:1629-1646. [link]
  • Li G, Nair J, Quirk GJ, Nair SS (2008) Computational modeling: A tool for new psychiatric medication development. Psychiatric Annals 38(4):296-305. [link]

Book Chapters

  • Li G, Cleland TA (2018) Generative biophysical modeling of dynamical networks in the olfactory system. In: Simoes de Souza F., Antunes G. (eds) Olfactory Receptors. Methods in Molecular Biology, vol 1820. Humana Press, New York, NY. [link]
  • Li G (2017). Computational models of the amygdala in acquisition and extinction of conditioned fear, The Amygdala – Where Emotions Shape Perception, Learning and Memories, Dr. Barbara Ferry (Ed.), InTech, DOI: 10.5772/67834. [link]
  • Fröhlich F, Alagapan S, Boyle MR, Hamilton F, Li G, Lustenberger C, Schmidt SL (2016) Target engagement with transcranial current stimulation. In: Brunoni A, Nitsche M, Loo C (Eds.) Transcranial Direct Current Stimulation in Neuropsychiatric Disorders, Chapter 11, pp. 197-222, Springer International Publishing Switzerland, DOI: 10.1007/978-3-319-33967-2_11. [link]
  • Li G (2015) Biophysical models of olfactory mitral and granule cells. In: Jaeger D, Jung R. (Eds.) Encyclopedia of Computational Neuroscience, pp. 393-399, Springer-Verlag New York, DOI: 10.1007/978-1-4614-6675-8. [link]
  • Mohan A, Pendyam S, Gall J, Li G, Kalivas PW, Nair SS (2008) Computational models of neuronal networks- modeling neuroplasticity in PFC-NAc Glu transmission due to cocaine. In: Yoshida M, Sato H (Eds.) New Research on Neuronal Networks, Chapter 3, pp. 65-107, Nova Science Publishers, Inc. [link]

Conference Papers

  • Li G, Thung KH, Taylor HP, Wu Z, Li G, Wang L, Lin W, Ahmad S, Yap PT (2024) Development of effective connectome from infancy to adolescence. In: Linguraru, M.G., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. MICCAI 2024. Lecture Notes in Computer Science, vol 15003. Springer, Cham. [link]
  • Li G, Liu Y, Zheng Y, Wu Y, Yap P, Qiu S, Zhang H, Shen D (2019) Identification of abnormal circuit dynamics in major depressive disorder via multiscale neural modeling of resting-state fMRI. In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science, vol 11766, Pp. 682-690. Springer, Cham. [link]
  • Huang P, Li D, Jiao Z, Wei D, Li G, Wang Q, Zhang H, Shen D (2019) CoCa-GAN: Common-feature-learning-based context-aware generative adversarial network for glioma grading. In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science, vol 11766, Pp. 155-163. Springer, Cham. [link]
  • Jiang W, Zhang H, Hsu LM, Hu D, Li G, Wu Y, Shen D (2019) Early development of infant brain complex network. In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science, vol 11765, Pp. 832-840. Springer, Cham. [link]
  • Li G, Nair J, Quirk GJ, Nair SS (2008). Regulation of fear by amygdala intercalated (ITC) cells in a network model of fear acquisition and extinction. ASME Dynamic Systems and Control Conference, Oct 20-22, Ann Arbor, Michigan. [link]
  • Li G, Quirk GJ, Nair SS (2007) Modeling acquisition and extinction of conditioned fear in LA neurons using learning algorithm. American Control Conference, July 11-13, New York, NY. [link]
  • Li G, Cheng S, Ko F, Nair SS, Quirk GJ, Rauch SL (2006) Computational modeling of lateral amygdala neurons during acquisition and extinction of conditioned fear using Hebbian learning. ASME International Mechanical Engineering Congress and Exposition, Nov 5-11, Chicago, IL. [link]
  • Li G, Cline HC, Nair SS, Blier P (2006) Computational studies of gain modification by serotonin in pyramidal neurons of prefrontal cortex. ASME International Mechanical Engineering Congress and Exposition, Nov 5-11, Chicago, IL. [link]
  • Li G, Nair SS, Lees S and Booth F (2005) Regulation of G2/M transition in mammalian cells by oxidative Stress. ASME International Mechanical Engineering Congress and Exposition, Nov 5-11, Orlando, FL. [link]

Conference Abstracts/Posters

  • Li G, Boerwinkle V, Yap PT (2024) Accurate localization of seizure onset zone using multiscale neural model inversion of resting-state functional MRI. 2024 Annual Meeting of the American Epilepsy Society. Los Angels, CA.
  • Li G, Yap PT (2024) A large multiscale neural model inversion framework for quantifying excitation-inhibition balance. OHBM, June 23-27. Seoul, Korean.
  • Li G, Taylor HP, Thung KH, Wu Y, Wu Z, Li G, Wang L, Lin W, Ahmad S, Yap PT (2023) Development of effective connectome from infancy to adolescence. The SfN Annual Meeting, November 11-15, Washington, D.C.
  • Li G, Taylor HP, Wu Y, Ahmad S, Thung KH, Wu Z, Li G, Wang L, Lin W, Yap PT (2023) Effective connectome over the human lifespan. OHBM, July 22-26. Montreal, Canada (selected for oral presentation).
  • Li G, Taylor HP, Wu Y, Ahmad S, Thung KH, Wu Z, Li G, Wang L, Lin W, Yap PT (2022) Charting excitation-inhibition balance over the human lifespan. The SfN Annual Meeting, November 12-16, San Diego, CA.
  • Li G, Taylor HP, Wu Y, Ahmad S, Thung KH, Wu Z, Li G, Wang L, Lin W, Yap PT (2022) Cortical hierarchy in the infant brain revealed by a large-scale neural circuit model. OHBM, June 19-23. Glasgow, Scotland.
  • Ghanbari M, Li G, Taylor HP, Ahmad S, KH Thung, Wu Z, Li G, Wang L, Lin W, Yap PT (2022) Brain network redundancy across the human lifespan. OHBM, June 19-23. Glasgow, Scotland.
  • Li G, Taylor HP, Wu Y, Ahmad S, Wu Z, Wang L, Li G, Lin W, Yap PT (2021) Excitation-inhibition balance in the infant brain, OHBM, Virtual Meeting, June 21-25.
  • Ghanbari M, Li G, Taylor HP, Ahmad S, Wu Z, Wang L, Li G, Lin W, Yap PT (2021) Resilience of the Infant brain. OHBM, Virtual Meeting, June 21-25.
  • Li G, Liu Y, Zheng Y, Wu Y, Yap P, Qiu S, Zhang H, Shen D (2020) Aberrant limbic – executive rather than default mode – salience system in major depressive disorder. OHBM Annual Meeting, June 23-July 3.
  • Li G, Liu Y, Zheng Y, Hsu LM, Zhang H, Shen D (2019) Large-scale dynamic causal modeling of major depressive disorder based on resting-state fMRI, OHBM Annual Meeting, Rome, Italy, June 9-13.
  • Li G (2018) Biophysical models of cholinergic neuromodulation in olfactory bulb. AChemS XL conference, April 16-20, 2018, Bonita Springs, FL
  • Li G, Henriquez C, Fröhlich F (2016) State-dependent entrainment by stimulation and the emergence of an asymmetric arnold tongue in a biophysical thalamic network model. The 46th SfN Annual Meeting, November 12-16, San Diego, CA.
  • Rapp CD, Fröhlich F, Cleland TA, Li G (2016) Dynamic regulation of mitral cell spike synchronization and phase-locking by external tufted cells in a glomerular network model. The 46th SfN Annual Meeting, November 12-16, San Diego, CA.
  • Henriquez C, Li G, Fröhlich F (2016) Entrainment of thalamocortical networks by tACS is modulated by intra-area coupling. The 46th SfN Annual Meeting, November 12-16, San Diego, CA.
  • Li G, Fröhlich F (2015) Biophysical thalamic network model of alpha, gamma, and spindle oscillations dependent on cholinergic neuromodulatory state. The 45th SfN Annual Meeting, October 17-21, Chicago, IL.
  • Li G, Cleland TA (2014) A coupled-oscillator model of olfactory bulb gamma oscillations integrating both PING and STO mechanics. The 44th SfN Annual Meeting, November 15-19, Washington, DC.
  • Li G, Cleland TA (2011) A biophysical model of cholinergic modulation in the olfactory bulb. The 41st SfN Annual Meeting, November 12-16, Washington, DC.
  • Li G, Pare D, Nair SS (2009) Role of short-term plasticity in maintaining stability of firing patterns in amgydala intercalated neurons: A computational study. The 39th SfN Annual Meeting, October 17-21, Chicago, IL.
  • Li G, Pare D, Quirk GJ, Nair SS (2009) Biophysical modeling of the amygdala network in acquisition and extinction of conditioned fear. The 39th SfN Annual Meeting, October 17-21, Chicago, IL.
  • Li G, Quirk GJ, Nair SS (2008) Regulation of fear by intercalated cells in a computational model of the fear circuit. The 38th SfN Annual Meeting, November 15-19, Washington, DC.
  • Li G, Nair SS (2006) Computational modeling of lateral amygdala pyramidal neuron response to tone and shock inputs. The 36th SfN Annual Meeting, October 14-18, Atlanta, GA.