Dr. Eike Middell
Dr. Eike Middell
Postdoctoral Researcher
Eike Middell graduated in astroparticle physics while working on neutrino telescopes in Siberia and Antarctica. These experiments instrumented large bodies of water and glacial ice with optical sensors to detect the faint light created by cosmic-ray particles interacting with matter. Subsequently, he transitioned to the field of neuroimaging with a focus on improving the digital signal processing of functional near-infrared spectroscopy (fNIRS) imagers, specifically in the context of assessing side-effects and potential improvements of deep brain stimulation for Parkinson's disease. Eventually, his role in a small team involved overseeing the software development of a portable near-infrared spectrometer from conception to market release. Further on, as a freelancing scientific software developer he contributed to diverse projects, such as forecasting financial time series and improving the safety of industrial plants by using spectroscopic measurements from remote sensors to infer the distribution of leaked gas clouds.
- Functional near-infrared spectroscopy (fNIRS) measurement and analysis techniques
- Inverse problems, particularly fNIRS image reconstruction
- Machine learning methods for multimodal sensor data to improve the utilization of physiological information during data analysis
Thomas Fischer, Eike Middell, Shakiba Moradi, Alexander von Lühmann
fNIRSSingle-TrialDecodingImprovesSystematicallyWith 3 HigherOptodeDensity,Model-BasedNoiseRegression,and 4 ImageReconstruction
Laura B. Carlton, Miray Altınkaynak, Shannon Kelley, Bernhard B. Zimmermann, Sreekanth Kura, Eike Middell, Alexander von Lühmann, Emily P. Stephen, Meryem A. Yücel, David A. Boas
Surface-based image reconstruction optimization for high-density functional near-infrared spectroscopy
E. Middell, L. Carlton, S. Moradi, T. Codina, T. Fischer, J. Cutler, S. Kelley, J. Behrendt, T. Dissanayake, N. Harmening, M. A. Yücel, D. A. Boas, A. von Lühmann
Cedalion Tutorial: A Python-based framework for comprehensive analysis of multimodal fNIRS & DOT from the lab to the everyday world
Meryem A. Yücel, Robert Luke, Rickson C. Mesquita, Alexander von Lühmann, David M. A. Mehler, Michael Lührs, Jessica Gemignani, Androu Abdalmalak, Franziska Albrecht, Iara de Almeida Ivo, Christina Artemenko, Kira Ashton, Paweł Augustynowicz, Aahana Bajracharya, Elise Bannier, Beatrix Barth, Laurie Bayet, Jacqueline Behrendt, Hadi Borj Khani, Lenaic Borot, Jordan A. Borrell, Sabrina Brigadoi, Kolby Brink, Chiara Bulgarelli, Emmanuel Caruyer, Hsin-Chin Chen, Christopher Copeland, Isabelle Corouge, Simone Cutini, Renata Di Lorenzo, Thomas Dresler, Adam T. Eggebrecht, Ann-Christine Ehlis, Sinem B. Erdoğan, Danielle Evenblij, Talukdar Raian Ferdous, Victoria Fracalossi, Erika Franzén, Anne Gallagher, Christian Gerloff, Judit Gervain, Noy Goldhamer, Louisa K. Gossé, Ségolène M. R. Guérin, Edgar Guevara, SM Hadi Hosseini, Hamish Innes-Brown, Isabell Int-Veen, Sagi Jaffe-Dax, Nolwenn Jégou, Hiroshi Kawaguchi, Caroline Kelsey, Michaela Kent, Roman Kessler, Nadeen Kherbawy, Franziska Klein, Nofar Kochavi, Matthew Kolisnyk, Yogev Koren, Agnes Kroczek, Alexander Kvist, Chen-Hao Paul Lin, Andreas Löw, Siying Luan, Darren Mao, Giovani G. Martins, Eike Middell, Samuel Montero-Hernandez, Murat Can Mutlu, Sergio L. Novi, Natacha Paquette, Ishara Paranawithana, Yisrael Parmet, Jonathan E. Peelle, Ke Peng, Tommy Peng, João Pereira, Paola Pinti, Luca Pollonini, Ali Rahimpour Jounghani, Vanessa Reindl, Wiebke Ringels, Betti Schopp, Alina Schulte, Martin Schulte-Rüther, Ari Segel, Tirdad Seifi Ala, Maureen J. Shader, Hadas Shavit, Arefeh Sherafati, Mojtaba Soltanlou, Bettina Sorger, Emma Speh, Kevin D. Stubbs, Katharina Stute, Eileen F. Sullivan, Sungho Tak, Zeus Tipado, Julie Tremblay, Homa Vahidi, Maaike Van Eeckhoutte, Phetsamone Vannasing, Gregoire Vergotte, Marion A. Vincent, Eileen Weiss, Dalin Yang, Gülnaz Yükselen, Dariusz Zapała & Vit Zemanek
fNIRS reproducibility varies with data quality, analysis pipelines, and researcher experience
Alexander von Lühmann, Eike Middell, Thomas Fischer, Christian Tesch, Bilal Siddique, Bernhard B. Zimmermann, Shakiba Moradi, David A. Boas, Klaus-Robert Müller
Improving Performance in fNIRS Single Trial Analysis: Multidisciplinary Opportunities and Perspective
IBS Lab Contribution to fNIRS UK 2025
At fNIRS UK 2025 in Cambridge, IBS Lab will showcase ERC-funded research on multimodal neuroimaging, including a Cedalion toolbox workshop, advances in fNIRS-EEG fusion, and deep learning transfer from fMRI to fNIRS/DOT.