The project started in January 2020.
Listed in the below table, you will find all scientific publications by the UNITI consortium published during the entire project duration.
2020 - 2021
Journal publications
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Schoisswohl, S., Langguth, B., Schecklmann, M., Boecking, B., Cederroth, C., Chalanouli, D., ... & Schlee, W. (2021). Unification of treatments and interventions for tinnitus patients (UNITI): a study protocol for a multi-center randomized clinical trial. Trials 22, 875 (2021). https://doi.org/10.1186/s13063-021-05835-z |
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Amanat, S., Gallego-Martinez, A., Sollini, J., Perez-Carpena, P., Espinosa-Sanchez, J. M., Aran, I., ... & Lopez-Escamez, J. A. (2021). Burden of rare variants in synaptic genes in patients with severe tinnitus: An exome based extreme phenotype study. EBioMedicine, 66, 103309. |
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Trochidis I, Lugo A, Borroni E, Cederroth CR, Cima R, Kikidis D, Langguth B, Schlee W, Gallus S. Systematic Review on Healthcare and Societal Costs of Tinnitus. International Journal of Environmental Research and Public Health. 2021; 18(13):6881. https://doi.org/10.3390/ijerph18136881. |
| only abstract available |
Schlee, W., Langguth, B., Pryss, R., Allgaier, J., Mulansky, L., Vogel, C., Spiliopoulou, M., Schleicher, M., Unnikrishnan, V., Puga, C., Manta, O., Sarafidis, M., Kouris, I., Vellidou, E., Koutsouris, D., Koloutsou, K., Spanoudakis, G., Cederroth, C., & Kikidis, D. (2021). Using Big Data to Develop a Clinical Decision Support System for Tinnitus Treatment. Current topics in behavioral neurosciences, 10.1007/7854_2021_229. Advance online publication. https://doi.org/10.1007/7854_2021_229. |
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Kikidis, D., Vassou, E., Schlee, W., Iliadou, E., Markatos, N., Triantafyllou, A., & Langguth, B. (2021). Methodological Aspects of Randomized Controlled Trials for Tinnitus: A Systematic Review and How a Decision Support System Could Overcome Barriers. Journal of clinical medicine, 10(8), 1737. https://doi.org/10.3390/jcm10081737. |
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Schleicher, M., Unnikrishnan, V., Neff, P., Simoes, J., Probst, T., Pryss, R., Schlee, W. & Spiliopoulou, M. (2020). Understanding adherence to the recording of ecological momentary assessments in the example of tinnitus monitoring. Scientific Reports, 10, 22459 (2020). https://doi.org/10.1038/s41598-020-79527-0. |
| only abstract available |
Schlee W, Schoisswohl S, Staudinger S, Schiller A, Lehner A, Langguth B, Schecklmann M, Simoes J, Neff P, Marcrum SC, Spiliopoulou M, Niemann U, Schleicher M, Unnikrishnan V, Puga C, Mulansky L, Pryss R, Vogel C, Allgaier J, Giannopoulou E, Birki K, Liakou K, Cima R, Vlaeyen JWS, Verhaert N, Ranson S, Mazurek B, Brueggemann P, Boecking B, Amarjargal N, Specht S, Stege A, Hummel M, Rose M, Oppel K, Dettling-Papargyris J, Lopez-Escamez JA, Amanat S, Gallego-Martinez A, Escalera-Balsera A, Espinosa-Sanchez JM, Garcia-Valdecasas J, Mata-Ferron M, Martin-Lagos J, Martinez-Martinez M, Martinez-Martinez MJ, Müller-Locatelli N, Perez-Carpena P, Alcazar-Beltran J, Hidalgo-Lopez L, Vellidou E, Sarafidis M, Katrakazas P, Kostaridou V, Koutsouris D, Manta R, Paraskevopoulos E, Haritou M, Elgoyhen AB, Goedhart H, Koller M, Shekhawat GS, Crump H, Hannemann R, Holfelder M, Oberholzer T, Vontas A, Trochidis I, Moumtzi V, Cederroth CR, Koloutsou K, Spanoudakis G, Basdekis I, Gallus S, Lugo A, Stival C, Borroni E, Markatos N, Bibas A, Kikidis D. (2021). Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI. Progress in brain research, 260, 441–451. https://doi.org/10.1016/bs.pbr.2020.12.005. |
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Unnikrishnan, V., Schleicher, M., Shah, Y., Jamaludeen, N., Pryss, R., Schobel, J., Kraft, R., Schlee, W., & Spiliopoulou, M. (2020). The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications. Brain sciences, 10(12), 924. https://doi.org/10.3390/brainsci10120924. |
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Trpchevska, N., Bulla, J., Prada Hellberg, M., Edvall, N. K., Lazar, A., Mehraei, G., Uhlen, I., Schlee, W., Canlon, B., Gallus, S., Lopez-Escamez, J. A., & Cederroth, C. R. (2020). Sex-Dependent Aggregation of Tinnitus in Swedish Families. Journal of clinical medicine, 9(12), 3812. https://doi.org/10.3390/jcm9123812. |
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Schlee, W., Hølleland, S., Bulla, J., Simoes, J., Neff, P., Schoisswohl, S., Woelflick, S., Schecklmann, M., Schiller, A., Staudinger, S., Probst, T., & Langguth, B. (2020). The Effect of Environmental Stressors on Tinnitus: A Prospective Longitudinal Study on the Impact of the COVID-19 Pandemic. Journal of clinical medicine, 9(9), 2756. https://doi.org/10.3390/jcm9092756. |
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Cederroth, C. R., Lugo, A., Edvall, N. K., Lazar, A., Lopez-Escamez, J. A., Bulla, J., Uhlen, I., Hoare, D. J., Baguley, D. M., Canlon, B., & Gallus, S. (2020). Association between Hyperacusis and Tinnitus. Journal of clinical medicine, 9(8), 2412. https://doi.org/10.3390/jcm9082412. |
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Niemann, U., Brueggemann, P., Boecking, B., Mebus, W., Rose, M., Spiliopoulou, M., & Mazurek, B. (2020). Phenotyping chronic tinnitus patients using self-report questionnaire data: Cluster analysis and visual comparison. Scientific reports, 10(1), 1-10. ISO 690. https://doi.org/10.1038/s41598-020-73402-8. |
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Niemann, U., Boecking, B., Brueggemann, P., Mazurek, B., & Spiliopoulou, M. (2020). Gender-Specific Differences in Patients With Chronic Tinnitus-Baseline Characteristics and Treatment Effects. Frontiers in neuroscience, 14, 487. https://doi.org/10.3389/fnins.2020.00487. |
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Niemann U, Brueggemann P, Boecking B, Mazurek B, Spiliopoulou M. (2020) Development and internal validation of a depression severity prediction model for tinnitus patients based on questionnaire responses and socio-demographics. Scientific reports. 2020 Mar 13;10(1):1-9. https://doi.org/10.1038/s41598-020-61593-z. |
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Niemann U, Boecking B, Brueggemann P, Mebus W, Mazurek B, Spiliopoulou M. (2020) Tinnitus related distress after multimodal treatment can be characterized using a key subset of baseline variables. PLoS One. 2020 Jan 30;15(1):e0228037. PMID: 31999776; PMCID: PMC6991951. https://doi.org/10.1371/journal.pone.0228037. |
Conference technical papers
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Shahania, S., Unnikrishnan, V., Pryss, R., Kraft, R., Schobel, J., Hannemann, R., Schlee, W., & Spiliopoulou, M. (2021, June). User-centric vs whole-stream learning for EMA prediction. In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 307-312). IEEE. https://doi.org/10.1109/CBMS52027.2021.00033. |
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Unnikrishnan, V., Shah, Y., Schleicher, M., Fernández-Viadero, C., Strandzheva, M., Velikova, D., Schlee, W., & Spiliopoulou, M. (2021, June). Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data. In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 295-300). IEEE. https://doi.org/10.1109/CBMS52027.2021.00080. |
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Jamaludeen, N., Unnikrishnan, V., Pryss, R., Schobel, J., Schlee, W., & Spiliopoulou, M. (2021, June). Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App. In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 354-359). IEEE. https://doi.org/10.1109/CBMS52027.2021.00110. |
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Sarafidis, M., Manta, O., Kouris, I.N., Schlee, W., Kikidis, D., Vellidou, E., & Koutsouris, D.D. (2021). Why a Clinical Decision Support System is needed for Tinnitus?. 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). |
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Allgaier, J., Neff, P., Schlee, W., Schoisswohl, S., & Pryss, R. (2021). Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data. 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). |
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Vogel, C., Schobel, J., Schlee, W., Engelke, M., & Pryss, R. (2021). UNITI Mobile - EMI-Apps for a Large-Scale European Study on Tinnitus. ArXiv, abs/2107.14029. 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). |
