Publications

Singh. S*, Zendehrouh. E, Calhoun. V. D, Sendi. M. S. E. (2026). Static and dynamic brain connectivity patterns across sleep duration. 2026 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).   

Hinojosa. C. A, Sun. D, Russell. C, Baird. C. L, Hussain. A, Sendi. M. S. E, Jahanshad. N, Salminen. L. E, Olff. M, Frijling. J. L, Veltman. D. J, Koch. S. B. J, Nawijn. L, van Zuiden. M, Wang. L, Zhu. Y, Li. G, Stein. D. J, Ipser. J, Koopowitz. S.-M, Neria. Y, Zhu. X, Ravid. O, Zilcha-Mano. S, Lazarov. A, Suarez-Jimenez. B, Huggins. A. A, Kerssler. K, Jovanovic. T, Fani. N, Mueller. S. C, Hudson. A. R, Daniels. J. K, Sierk. A, Manthey. A, Walter. H, van der Wee. N. J. A, van der Werff. S. J. A, Vermeiren. R. R. J. M, Rektor. I, Říha. P, Kaufman. M. L, Lebois. L. A. M, Baker. J. T, King. A, Liberzon. I, Angstadt. M, Davenport. N. D, Disner. S. G, Sponheim. S. R, Straube. T, Hofmann. D, Lu. G. M, Qi. R, Wang. X, Kunch. A, Xie. H, Quidé. Y, El-Hage. W, Lissek. S, Berg. H, Cisler. J, Ross. M, Herringa. R. J, Grupe. D. W, Nitschke. J. B, Davidson. R. J, Larson. C. L, deRoon-Cassini. T. A, Tomas. C. W, Fitzgerald. J. M, Feola. B, Urbano-Blackford. J, Olatunji. B. O, May. G, Nelson. S. M, Gordon. E. M, Abdallah. C. G, Lanius. R, Densmore. M, Théberge. J, Neufeld. R. W. J, Baugh. L. A, Simons. R. M, Simons. J. S, Magnotta. V. A, Fercho. K. A, Elman. J, Panizzon. M, Franz. C, Lyons. M. J, Kremen. W, McLaughlin. K. A, Peverill. M, Sambrook. K, Thompson. P. M, Stevens. J. S, Morey. R. A, van Rooij. S. J. H. (2026). Resting-state functional connectivity of the amygdala and hippocampus in PTSD: results from the PGC-ENIGMA PTSD working group. American Journal of Psychiatry, 183(5), 333–342.

Peddi. A*,†, Sendi. M. S. E†, Minton. S. T, Langhinrichsen-Rohling. R, Hinojosa. C. A, West. E, Ressler. K. J, Calhoun. V. D, van Rooij. S. J. H. (2025). Towards predicting posttraumatic stress symptom severity using portable EEG-derived biomarkers. Scientific Reports, 15(1), 5344. 

Noble. N. C†, Sendi. M. S. E†, Merker. J. B, Linton. S. R, Webber. T. K, Toll. R. T, Etkin. A, Wu. W, Ressler. K. J, Seligowski. A. V. (2025). PTSD-related differences in neural connectivity among female trauma survivors. Biological Psychiatry Global Open Science, 5(4), 100491. 

Sendi. M. S. E†, Itkyal. V. S†, Edwards-Stewart*. S, Chun. J. Y*, Mathalon. D, Ford. J, Preda. A, van Erp. T. G. M, Pearlson. G, Turner. J, Calhoun. V. D. (2025). Visualizing functional network connectivity differences using an explainable machine-learning method. Physiological Measurement, 46, 045009. 

Sendi. M. S. E. (2025). Dry EEG—From Laboratory to Living Room. JAMA Psychiatry, 82(7).  

Daskalakis. N. P, Iatrou. A, Chatzinakos. C, Jajoo. A, Snijders. C, Wylie. D, DiPietro. C. P, Tsatsani. I, Chen. C, Pernia. C. H, Soliva-Estruch. M, Arasappan. D, Bharadwaj. R. A, Collado-Torres. L, Wuchty. S, Alvarez. V. E, Dammer. E. B, Deep-Soboslay. A, Duong. D. M, Eagles. N, Huber. B. R, Hudik. L, Holstein. V. L, Logue. M. W, Luykx. J. J, Maihofer. A. X, Miller. M. W, Nievergelt. C. M, Pertea. G, Ross. D, Sendi. M. S. E, Sun. B, Tao. R, Tooke. J, Wolf. E. J, Zeier. Z, PTSD Working Group of Psychiatric Genomics Consortium, Berretta. S, Champagne. F. A, Hyde. T, Seyfried. N. T, Shin. J. H, Weinberger. D. R, Nemeroff. C. B, Kleinman. J. E, Ressler. K. J, AURORA Study, Estonian Biobank Research Team, FinnGen Investigators, HUNT All-In Psychiatry. (2024). Systems biology dissection of PTSD and MDD across brain regions, cell types, and blood. Science, 384(6698), eadh3707.    

Dini H, Bruni. L. E, Ramsøy. T. Z, Calhoun. V. D, Sendi. M.S.E. (2024). The overlap across psychotic disorders: A functional network connectivity analysis. International Journal of Psychophysiology, 201 (112354).

Connolly. Mark J, Piallat. Brigitte, Sendi. M.S.E, Mahmoudi. Babak, Higgins. Melinda K, Gutekunst. Claire-Anne, Devergnas. Annaelle, Gross. Robert E. (2024). Effects of acute hippocampal stimulation in the nonhuman primate penicillin model of temporal lobe seizures. Heliyon, 10 (14).

Cole. E. R, Connolly. M. J, Ghetya. M, Sendi. M. S. E, Kashlan. A, Eggers. T. E, Gross. R.E. (2024). SAFE-OPT: a Bayesian optimization algorithm for learning optimal deep brain stimulation parameters with safety constraints. Journal of Neural Engineering, 21(4). 

Sendi. M. S. E, et al. (2024). Brain dynamics reflecting an intra-network brain state is associated with increased posttraumatic stress symptoms in the early aftermath of trauma. Nature Mental Health, 3(2), 185-198. 

Zendehrouh. E, Sendi. M.S.E, Abrol. Anees, Batta. Ishaan, Hassanzadeh. R, Calhoun. D. V. (2024). A multimodal Neuroimaging-Based risk score for mild cognitive impairment. NeuroImage: Clinical, 45, 103719.    

Sendi, M.S.E., Zendehrouh, E., Ellis, C.A., Fu, Z., Chen, J., Miller, R.L., Mormino, E.C., Salat, D.H., & Calhoun, V.D. (2023). The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease. NeuroImage: Clinical, 37, 103363. DOI: 10.1016/j.nicl.2023.103363.

Sendi, M.S.E., Zendehrouh, E., Fu, Z., Liu, J., Du, Y., Mormino, E., Salat, D.H., Calhoun, V.D., & Miller, R.L. (2023). Disrupted dynamic functional network connectivity among cognitive control networks in the progression of Alzheimer's disease. Brain Connectivity, 13(6), 334-343. DOI: 10.1089/brain.2020.0847. 

Fu, Z., Abbott, C.C., Miller, J., Deng, Z.D., McClintock, S.M., Sendi, M.S.E., Sui, J., & Calhoun, V.D. (2023). Cerebro-cerebellar functional neuroplasticity mediates the effect of electric field on electroconvulsive therapy outcomes. Translational Psychiatry, 13(1), 43. DOI: 10.1038/s41398-023-02312-w.

Ellis, C.A., Sendi, M.S.E., Zhang, R., Carbajal, D.A., Wang, M.D., Miller, R.L., & Calhoun, V.D. (2023). Novel methods for elucidating modality importance in multimodal electrophysiology classifiers. Frontiers in Neuroinformatics, 17, 1123376. DOI: 10.3389/fninf.2023.1123376.

Zendehrouh, E., Sendi, M.S.E., & Calhoun, V.D. (2023). Towards a multimodal neuroimaging-based risk score for Alzheimer's disease by combining clinical and large N> 37000 population data. Proceedings of the 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 1-4. 

Sendi, M.S.E., Salat, D.H., Miller, R.L., & Calhoun, V.D. (2022). Two-step clustering-based pipeline for big dynamic functional network connectivity data. Frontiers in Neuroscience, 16, 895637. DOI: 10.3389/fnins.2022.895637.

Sendi, M.S.E., Dini, H.*, Bruni, L.E., & Calhoun, V.D. (2022). Default mode network dynamic functional network connectivity predicts psychotic symptom severity. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022, 247-250. DOI: 10.1109/EMBC48229.2022.9871542.

Sendi, M.S.E., Miller, R.L., Salat, D.H., & Calhoun, V.D. (2022). A two-step clustering-based pipeline for big dynamic functional network connectivity data. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022, 3741-3744. DOI: 10.1109/EMBC48229.2022.9871997.

Ellis, C.A., Sendi, M.S.E., Miller, R.L., & Calhoun, V.D. (2022). An unsupervised feature learning approach for elucidating hidden dynamics in rs-fMRI functional network connectivity. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022, 4449-4452. DOI: 10.1109/EMBC48229.2022.9871548

Fu, Z., Sui, J., Espinoza, R., Narr, K., Qi, S., Sendi, M.S.E., Abbott, C.C., & Calhoun, V.D. (2022). Whole-brain functional connectivity dynamics associated with electroconvulsive therapy treatment response. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7(3), 312-322. DOI: 10.1016/j.bpsc.2021.07.004. 

Sendi, M.S.E., Inman, C.S., Bijanki, K.R., Blanpain, L., Park, J.K., Hamann, S., Gross, R.E., Willie, J.T., & Mahmoudi, B. (2021). Identifying the neurophysiological effects of memory-enhancing amygdala stimulation using interpretable machine learning. Brain Stimulation, 14(6), 1511-1519. DOI: 10.1016/j.brs.2021.09.009.

Sendi, M.S.E., Zendehrouh, E., Turner, J.A., & Calhoun, V.D. (2021). Dynamic patterns within the default mode network in schizophrenia subgroups. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021, 1640-1643. DOI: 10.1109/EMBC46164.2021.9629825.

Sendi, M.S.E., Zendehrouh, E., Sui, J., Fu, Z., Zhi, D., Lv, L., Ma, X., Ke, Q., Li, X., Wang, C., Abbott, C.C., Turner, J.A., Miller, R.L., & Calhoun, V.D. (2021). Abnormal dynamic functional network connectivity estimated from default mode network predicts symptom severity in major depressive disorder. Brain Connectivity, 11(10), 838-849. DOI: 10.1089/brain.2020.0748.

Sendi, M.S.E. †, Waters, A.C. †, Tiruvadi, V., Riva-Posse, P., Crowell, A., Isbaine, F., Gale, J.T., Choi, K.S., Gross, R.E., Mayberg, H.S., & Mahmoudi, B. (2021). Intraoperative neural signals predict rapid antidepressant effects of deep brain stimulation. Translational Psychiatry, 11(1), 551. DOI: 10.1038/s41398-021-01669-0.

Sendi, M.S.E., Salat, D.H., Calhoun, V.D. (2021). Brain age gap difference between healthy and mild dementia subjects: Functional network connectivity analysis. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021, 1636-1639. DOI: 10.1109/EMBC46164.2021.9630648.

Ellis, C.A., Sendi, M.S.E., Miller, R., & Calhoun, V. (2021). A novel activation maximization-based approach for insight into electrophysiology classifiers. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Houston, TX, USA, 2021, 3358-3365. DOI: 10.1109/BIBM52615.2021.9669593.

Dini, H.†,*, Sendi, M.S.E†., Sui, J., Fu, Z., Espinoza, R., Narr, K.L., Qi, S., Abbott, C.C., van Rooij, S.J.H., Riva-Posse, P., Bruni, L.E., Mayberg, H.S., & Calhoun, V.D. (2021). Dynamic functional connectivity predicts treatment response to electroconvulsive therapy in major depressive disorder. Frontiers in Human Neuroscience, 15, 689488. DOI: 10.3389/fnhum.2021.689488. 

Sendi, M.S.E., Pearlson, G.D., Mathalon, D.H., Ford, J.M., Preda, A., van Erp, T.G.M., & Calhoun, V.D. (2021). Multiple overlapping dynamic patterns of the visual sensory network in schizophrenia. Schizophrenia Research, 228, 103-111. DOI: 10.1016/j.schres.2020.11.055.

Sendi, M.S.E., Zendehrouh, E., Miller, R.L., Fu, Z., Du, Y., Liu, J., Mormino, E.C., Salat, D.H., & Calhoun, V.D. (2021). Alzheimer's disease projection from normal to mild dementia reflected in functional network connectivity: A longitudinal study. Frontiers in Neural Circuits, 14, 593263. DOI: 10.3389/fncir.2020.593263.

Sendi, M.S.E. †, Zendehrouh, E. †, Ellis, C.A., Liang, Z., Fu, Z., Mathalon, D.H., Ford, J.M., Preda, A., van Erp, T.G.M., Miller, R.L., Pearlson, G.D., Turner, J.A., & Calhoun, V.D. (2021). Aberrant dynamic functional connectivity of default mode network in schizophrenia and links to symptom severity. Frontiers in Neural Circuits, 15, 649417. DOI: 10.3389/fncir.2021.649417.

Ellis, C.A., Sendi, M.S.E., Willie, J.T., & Mahmoudi, B. (2021). Hierarchical neural network with layer-wise relevance propagation for interpretable multiclass neural state classification. Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering (NER), Italy, 2021, 351-354. DOI: 10.1109/NER49283.2021.9441217.

Sendi, M.S.E., Zendehrouh, E., Fu, Z., Mahmoudi, B., Miller, R.L., & Calhoun, V.D. (2020). A machine learning model for exploring aberrant functional network connectivity transition in schizophrenia. Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), Albuquerque, NM, USA, 2020, 112-115. DOI: 10.1109/SSIAI49293.2020.9094620.

Sendi, M.S.E., Kanta, V., Inman, C.S., Manns, J.R., Hamann, S., Gross, R.E., Willie, J.T., & Mahmoudi, B. (2020). Amygdala stimulation leads to functional network connectivity state transitions in the hippocampus. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 3625-3628. DOI: 10.1109/EMBC44109.2020.9176742.

Chun, J.Y.*, Sendi, M.S.E., Sui, J., Zhi, D., & Calhoun, V.D. (2020). Visualizing functional network connectivity difference between healthy control and major depressive disorder using an explainable machine-learning method. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020, 1424-1427. DOI: 10.1109/EMBC44109.2020.9175685.

Dini, H.*, Ghassemi, F., & Sendi, M.S.E.(2020). Investigation of brain functional networks in children suffering from attention deficit hyperactivity disorder. Brain Topography, 33, 733-750. DOI: 10.1007/s10548-020-00794-1.

Sendi, M.S.E., Chun, J.Y.*, & Calhoun, V.D. (2020). Visualizing functional network connectivity difference between middle adult and older subjects using an explainable machine-learning method. Proceedings of the IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), Cincinnati, OH, USA, 2020, 955-960. DOI: 10.1109/BIBE50027.2020.00162.

Ellis, C.A., Gu, P., Sendi, M.S.E., Huddleston, D., Sharma, A., & Mahmoudi, B. (2019). A cloud-based framework for implementing portable machine learning pipelines for neural data analysis. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, 4466-4469. DOI: 10.1109/EMBC.2019.8856929. 

Sendi, M.S.E., Heydarzadeh, M., & Mahmoudi, B. (2018). A Spark-based analytic pipeline for seizure detection in EEG big data streams. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, 4003-4006. DOI: 10.1109/EMBC.2018.8513385.

Latchoumane, C.V., Jackson, L., Sendi, M.S.E., Tehrani, K.F., Mortensen, L.J., Stice, S.L., Ghovanloo, M., & Karumbaiah, L. (2018). Chronic electrical stimulation promotes the excitability and plasticity of ESC-derived neurons following glutamate-induced inhibition in vitro. Scientific Reports, 8(1), 10957. DOI: 10.1038/s41598-018-29069-3.

Munge, A., Sankar, V.*, Sendi, M.S.E., Ghovanloo, M., & Guler, U. (2018). A bio-impedance measurement IC for neural interface applications. Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), Cleveland, OH, USA, 1-4. DOI: 10.1109/BIOCAS.2018.8584750.

Lee, B., Koripalli, M.K., Jia, Y., Acosta, J., Sendi, M.S.E., Choi, Y., & Ghovanloo, M. (2018). An implantable peripheral nerve recording and stimulation system for experiments on freely moving animal subjects. Scientific Reports, 8(1), 6115.