Dr. Arkan Al-Zubaidi
Kontakt
Dr. Arkan Al-Zubaidi
Research Interests
- Features extraction of natural sounds
- Neural mechanisms underlying processing of speech
- Machine learning approaches (Encoding and Decoding models)
- Resting-state fMRI connectivity-modeling
Project
Objective characterization of hearing loss in quasi-natural sound environments.
The goal is to establish neurophysiological (fMRI) and machine learning methods to a) characterize hearing loss with encoding models based on sound descriptors using realistic speech and sounds-capes, and to b) drive brain mechanism of speech and natural sound processing with minimal a prior assumptions, and c) combine these mechanisms across individuals models to allow for the characterization of sub-groups.
Publications
Journal & Full paper conferences
Al-Zubaidi, A., Bräuer, S., Holdgraf, C. R., Schepers, I. M., & Rieger, J. W. (2022). Sublexical cues affect degraded speech processing: insights from fMRI. Cerebral cortex communications, 3(1), tgac007. doi.org/10.1093/texcom/tgac007
Obst, M.A., Al-Zubaidi, A., Heldmann, M. et al. Five weeks of intermittent transcutaneous vagus nerve stimulation shape neural networks: a machine learning approach. Brain Imaging and Behavior (2021). doi.org/10.1007/s11682-021-00572-y
Nolde, J. M., Connor, S. G., Al-Zubaidi, A., Obst, M. A., Laupenmühlen, J., Heldmann, M., ... & Münte, T. F. (2021). Brain activations show association with subsequent endocrine responses to oral glucose challenge in a satiation-level dependent manner. Comprehensive Psychoneuroendocrinology, 6, 100055. (open access)
Al-Zubaidi, A., Iglesias, S., Stephan, K. E., Buades-Rotger, M., Heldmann, M., Nolde, J. M., ... & Münte, T. F. (2020). Effects of hunger, satiety and oral glucose on effective connectivity between hypothalamus and insular cortex. NeuroImage, 116931. (open access)
Nolde, J. M., Connor, S. G., Al-Zubaidi, A., Laupenmühlen, J., Heldmann, M., Jauch-Chara, K., & Münte, T. F. (2019). Endocrine profile dataset of fasting and normally eating young, healthy men and following activation of brain areas involved in ingestive behaviour. Data in brief, 27, 104676. (open access)
Hanssen, H., Steinhardt, J., Münchau, A., Al-Zubaidi, A., Tzvi, E., Heldmann, M., Schramm, P., Neumann, A., Rasche, D., Saryyeva, A. and Voges, J., (2019). Cerebello-striatal interaction mediates effects of subthalamic nucleus deep brain stimulation in Parkinson's disease. Parkinsonism & related disorders, 67, 99-104. www.sciencedirect.com/science/article/abs/pii/S1353802019303785
Noldea, NM., Laupenmühlenb, J., Al-Zubaidi, A., Heldmanna, M., Jauch-Charac, K., Müntea, TF. (2019). Modulation of brain activity by hormonal factors in the context of ingestive behavior. Metabolism, 99, 11-18. www.sciencedirect.com/science/article/abs/pii/S0026049519301295
Al-Zubaidi, A., Mertins, A., Heldmann, M., Jauch-Chara, K., & Münte, T. F. (2019). Machine learning based classification of resting-state fMRI features exemplified by metabolic state (hunger/satiety). Frontiers in human neuroscience, 13, 164. www.frontiersin.org/articles/10.3389/fnhum.2019.00164/full
Al-Zubaidi, A., Heldmann, M., Mertins, A., Brabant, G., Nolde J., Jauch- Chara, K., & Münte, T. F. (2019). Impact of hunger, satiety, and oral glucose on the association between insulin and resting-state human brain activity. Frontiers in human neuroscience, 13, p.162. https://www.frontiersin.org/articles/10.3389/fnhum.2019.00162/full
Nolde, J., Laupenmühlen J., Al-Zubaidi, A., Heldmann, M., Münte T. F., Kamila Jauch-Chara, K. (2019). Endocrine responses and food intake in fasted individuals under the influence of glucose ingestion. PLOS ONE, Jan 25;14(1):e0211514. journals.plos.org/plosone/article?id=10.1371/journal.pone.0211514
Al-Zubaidi, A., Heldmann, M., Mertins, A., Jauch-Chara, K., & Münte, T. F. (2018). Influences of Hunger, Satiety and Oral Glucose on Functional Brain Connectivity: A Multimethod Resting-State fMRI Study. Neuroscience, 382, 80-92. www.sciencedirect.com/science/article/abs/pii/S030645221830294X?via%3Dihub
Al-Zubaidi, A., Chen, L., Hagenah, J. and Mertins, A., (2013). Robust feature for transcranial sonography image classification using rotation-invariant Gabor filter. In Bildverarbeitung für die Medizin, pp. 271- 276. Springer, Berlin, Heidelberg. link.springer.com/chapter/10.1007/978-3-642-36480-8_48
Conference Abstracts
Al-Zubaidi, A., Rieger, J. (2022). Human cortical auditory processing of naturalistic speech with simulated hearing loss: A data-driven fMRI approach. Abstract and Poster. FENS2022. https://kenesvm.azureedge.net/public/general/FENS2022.pdf#page=5733
Al-Zubaidi, A., Michalke, L., Rieger, J. (2022). Encoding of naturalistic speech with simulated hearing loss in fMRI Responses. Abstract and Poster. Speech in noise workshop 2022. https://2022.speech-in-noise.eu/files/SPIN2022-Programme.pdf#page=51
Al-Zubaidi, A., Iglesias, S., Stephan, K. E., Buades-Rotger, M, Heldmann, M., Noldea, N. M., Kirchner, H., Mertins, A., Jauch-Chara, K., & Münte, T. F. (2019). Hunger status, not oral glucose, affects posterior-anterior insula connectivity: A spectral DCM study. Abstract and Poster. Organization for Human Brain Mapping (OHBM) Annual Meeting, Rome, Italy, June 2019. ww5.aievolution.com/hbm1901/index.cfm?do=abs.viewAbs&abs=1755
Al-Zubaidi, A., Mertins A., Heldmann M., Jauch-Chara K., Münte T.F. (2019). Evaluation of resting-state fMRI features to classify hunger/satiety status based on machine learning. Abstract and Poster. 2nd Adipocyte-Brain Crosstalk Symposium, Lübeck, Germany, March 2019. www.grk1957.uni-luebeck.de/training/symposium-2019.html
Al-Zubaidi, A., Mertins A., Heldmann M., Jauch-Chara K., Münte T.F. (2018). Amplitude of brain signals classify hunger status based on machine learning in resting-state fMRI. Abstract and Talk. Bildverarbeitung für die Medizin 2018. Springer Vieweg, Berlin, Heidelberg. www.springerprofessional.de/en/abstract-amplitude-of-brain-signals-classify-hunger-status-based/15478824
Al-Zubaidi, A., Mertins A., Heldmann M., Jauch-Chara K., Münte T.F. (2017). Impact of hunger, satiety, and oral glucose on the association of insulin with human brain network. Abstract and Talk. 1st Adipocyte-Brain Crosstalk Symposium, Lübeck, Germany, March 2017. www.grk1957.uni-luebeck.de/training/symposium-2017.html
Al-Zubaidi, A., Heldmann, M., Mertins, A., Jauch-Chara, K., & Münte, T. F. (2016). Influence of oral glucose tolerance test on multimethod brain functional connectivity for resting state fMRI data. Abstract and Poster. 5th Biennial Conference on Resting State and Brain Connectivity, Vienna, Austria, September 2016. www.semanticscholar.org/paper/Influence-of-oral-glucose-tolerance-test-on-brain-Al-Zubaidi-Heldmann/8a6c0a71f24a427591ae9d0f82233153494e4dc8
CV
- Post-Doctoral Position, School of Medicine and Health Sciences and Cluster of Excellence "Hearing4all", Department of Psychology, Applied Neurocognitive Psychology Lab, Carl von Ossietzky University Oldenburg: Since 09.2019
- Supervisor: Prof. Dr. Jochem Rieger
- Doctoral Program, Adipocyte-Brain Crosstalk, Department of Neurology, University of Lübeck, Germany: 08.2014 - 08.2019
- Thesis: Modulatory impact of metabolic states on the functional connectivity of the resting human brain
- Supervisor: Prof. Dr. Thomas F. Münte
- Research Stay, Translational Neuromodeling Unit (TNU), ETH Zürich, Switzerland: 01.2017 - 04.2017
- M.Sc. in Biomedical Engineering, University of Lübeck, Germany: 10.2010 - 06.2013
- Topic: Rotation-invariant Gabor features for robus Transactional image classification
- Supervisor: Prof. Dr.-Ing. Alfred Mertins
- B.Sc. in Biomedical Engineering, University of Baghdad, Iraq: 09.2002 - 09.2007
- Topic: Design a medical device for ECG measurement
- Supervisor: Dr. Nebras Hussein