Peer-reviewed journal articles, conference papers, and preprints.

He, H.; Chang, C.; Sun, X.; Doose, J.; Faller, J.; McIntosh, J. R.; Saber, G. T.; Huffman, S.; Hong, L.; Pantazatos, S. P.; Yuan, H.; McTeague, L. M.; Goldman, R. I.; Brown, T. R.; George, M. S.; Sajda, P. (2026). Perturbation-Based Brain Mapping of Prefrontal Alpha Phase Multiplex Networks: A Concurrent TMS-EEG-fMRI Study. IEEE EMBC.

Oral presentation. Full conference name: International Conference of the IEEE Engineering in Medicine and Biology Society.

He, H.; Sun, X.; Doose, J.; Faller, J.; McIntosh, J. R.; Saber, G. T.; Huffman, S.; Hong, L.; Pantazatos, S. P.; Yuan, H.; McTeague, L. M.; Goldman, R. I.; Brown, T. R.; George, M. S.; Sajda, P. (2025). TMS-induced modulation of brain networks and its associations to rTMS treatment for depression: a concurrent fMRI-EEG-TMS study. Brain Stimulation. https://doi.org/10.1016/j.brs.2025.10.013

He, H.; Razlighi, Q.; Gazes, Y.; Habeck, C.; Stern, Y. (2025). Integrating individualized connectome with amyloid pathology improves predictive modeling of future cognitive decline. Communications Medicine. https://doi.org/10.1038/s43856-025-01170-5

Hong, L.; He, H.; Sajda, P. (2023). Capturing interactions between arousal and cortical dynamics with simultaneous pupillometry and EEG-fMRI. IEEE ACII. https://doi.org/10.1109/ACIIW59127.2023.10388080

Hong, L. and He, H. contributed equally. International Conference on Affective Computing and Intelligent Interaction.

He, H.; Ettehadi, N.; Shmuel, A.; Razlighi, Q. R. (2022). Evidence suggesting common mechanisms underlie contralateral and ipsilateral negative BOLD responses in human visual cortex. NeuroImage. https://www.sciencedirect.com/science/article/pii/S1053811922005572

He, H.; Razlighi, Q. R. (2020). Volumetric registration of brain cortical regions by automatic landmark matching and large deformation diffeomorphisms. IEEE ISBI. https://doi.org/10.1109/ISBI45749.2020.9098572

Tahmi, M.; Rippon, B.; Palta, P.; Sherwood, G.; Hernandez, G.; Soto, L.; Ceballos, F.; Laing, K.; Igwe, K.; He, H.; Teresi, J.; Moreno, H.; Kreisl, W.; Razlighi, Q.; Brickman, A. M.; Luchsinger, J. A. (2024). Relationship between Alzheimer disease imaging biomarkers and performance on the NIH Toolbox Cognition Battery in late-middle age Hispanics. Alzheimer Disease & Associated Disorders. https://pubmed.ncbi.nlm.nih.gov/39588688/

Rippon, B.; Palta, P.; Tahmi, M.; Sherwood, G.; Soto, L.; Cespedes, S.; Mesen, Y.; He, H.; Laing, K.; Moreno, H.; Teresi, J.; Razlighi, Q.; Brickman, A. M.; Zetterberg, H.; Luchsinger, J. A. (2022). Plasma amyloid and in vivo brain amyloid in late middle-aged Hispanics. Journal of Alzheimer's Disease. https://doi.org/10.3233/JAD-210391

Palta, P.; Rippon, B.; Tahmi, M.; Sherwood, G.; Soto, L.; Ceballos, F.; He, H.; Laing, K.; Reitz, C.; Razlighi, Q.; Teresi, J.; Moreno, H.; Brickman, A. M.; Luchsinger, J. A. (2021). Metabolic syndrome and its components in relation to in-vivo brain amyloid and neurodegeneration in late middle-age. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2020.09.023

Tahmi, M.; Rippon, B.; Palta, P.; Sherwood, G.; Hernandez, G.; Soto, L.; Ceballos, F.; Pardo, M.; Laing, K.; Igwe, K.; He, H.; Teresi, J.; Moreno, H.; Razlighi, Q.; Brickman, A. M.; Luchsinger, J. A. (2021). In Vivo Amyloid, Neurodegeneration, and Verbal Learning in Late Middle-Aged Hispanics. Journal of Alzheimer's Disease. https://doi.org/10.3233/JAD-201304

Palta, P.; Rippon, B.; Tahmi, M.; Pardo, M.; Johnson, A.; Tomljanovic, Z.; He, H.; Laing, K.; Razlighi, Q.; Teresi, J.; Moreno, H.; Brickman, A. M.; Kreisl, W.; Luchsinger, J. A. (2021). Sex differences in in-vivo tau neuropathology in a multi-ethnic sample of late middle-aged adults. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2021.03.007

Tahmi, M.; Rippon, B.; Palta, P.; Sherwood, G.; Soto, L.; Ceballos, F.; Pardo, M.; Hernandez, G.; Arevalo, R.; He, H.; Sedaghat, A.; Arabshahi, S.; Teresi, J.; Moreno, H.; Brickman, A. M.; Razlighi, Q.; Luchsinger, J. A. (2020). Brain amyloid burden and resting-state functional connectivity in late middle-aged Hispanics. Frontiers in Neurology. https://doi.org/10.3389/fneur.2020.529930

Luchsinger, J. A.; Palta, P.; Rippon, B.; Sherwood, G.; Soto, L.; Ceballos, F.; Laing, K.; Igwe, K.; He, H.; Razlighi, Q.; Teresi, J.; Moreno, H.; Brickman, A. M. (2020). Pre-diabetes, but not type 2 diabetes, is related to brain amyloid in late middle-age. Journal of Alzheimer's Disease. https://doi.org/10.3233/JAD-200232

Luchsinger, J. A.; Palta, P.; Rippon, B.; Sherwood, G.; Soto, L.; Ceballos, F.; Pardo, M.; Laing, K.; Igwe, K.; Johnson, A.; Tomljanovic, Z.; He, H.; Reitz, C.; Kreisl, W.; Razlighi, Q.; Teresi, J.; Moreno, H.; Brickman, A. M. (2020). Sex differences in Alzheimer's disease neuropathology in late middle-age. Journal of Alzheimer's Disease. https://doi.org/10.3233/JAD-191183

Palta, P.; Rippon, B.; Reitz, C.; He, H.; Sherwood, G.; Ceballos, F.; Teresi, J.; Razlighi, Q.; Moreno, H.; Brickman, A. M.; Luchsinger, J. A. (2020). Apolipoprotein E genotype and in-vivo amyloid burden in middle-aged Hispanics. Neurology. https://doi.org/10.1212/WNL.0000000000010707

Lv, W.; Yu, D.; He, H.; Liu, Q. (2016). Monte Carlo simulations for dosimetry in prostate radiotherapy with different intravesical volumes and planning target volume margins. PLOS ONE. https://doi.org/10.1371/journal.pone.0159497