Dr. Hamid Karimi-Rouzbahani

Email:  h.karimi-rouzbahani@uq.edu.au  

Current research

Hamid's interests are at the intersection of Computational, Cognitive and Clinical Neuroscience and combine neural signal processing (e.g., EEG, MEG and fMRI), machine learning (e.g., deep neural networks) and mathematical modelling.
His computational work involves the development of multidimensional connectivity and decoding analysis methods to study information coding and transfer across the brain. His cognitive interests include research into the neural bases of visual perception, attention and the multiple-demand system. His clinical work develops methods to quantify and localise brain areas involved in epilepsy.

Research interests

• Visual perception and attention

• Neural information coding and transfer

• Epilepsy localisation

Published papers

Karimi-Rouzbahani, H., and McGonigal, A. (2025). Directionality of neural activity in and out of the seizure onset zone in focal epilepsy. Network Neuroscience,  9(2) 798-823. https://doi.org/10.1162/netn_a_00454

Sina, F., Hemasian, H., Abdi, A., Heidari, V., Ghadirivasfi, M., Sheikhbahaei, E., Salehian, R.,  and Karimi-Rouzbahani, H. (2025). Establishing a stereo-electroencephalography center for epilepsy in Iran. Neurophysiologie Clinique, 55 (1)  103032 1-2. https://doi.org/10.1016/j.neucli.2024.103032

Karimi-Rouzbahani, H., Vogrin, S., Cao, M., Plummer, C.,  and McGonigal, A. (2024). Multimodal and quantitative analysis of the epileptogenic zone network in the pre-surgical evaluation of drug-resistant focal epilepsy. Neurophysiologie Clinique,  54 (6)  103021 1-14. https://doi.org/10.1016/j.neucli.2024.103021

Rich, A., Lowe, B., Karimi-Rouzbahani, H., Hensley, K., Moerel, D.,  and Woolgar, A. (2024). Sustaining attention under monitoring conditions: What changes in the brain when attention lapses?. Vision Sciences Society Annual Meeting. https://doi.org/10.1167/jov.24.10.739

Karimi-Rouzbahani, H. and McGonigal, A.  (2024). Generalisability of epileptiform patterns across time and patients. Scientific Reports,  14 (1)  6293 1-14. https://doi.org/10.1038/s41598-024-56990-7

Karimi-Rouzbahani, H. (2024). Evidence for multiscale multiplexed representation of visual features in EEG. Neural Computation,  36 (3) 412-436. https://doi.org/10.1162/neco_a_01649

Karimi-Rouzbahani, H., Woolgar, A.,  and Rich, A. N. (2023). Correction: Neural signatures of vigilance decrements predict behavioural errors before they occur. eLife,  12   . https://doi.org/10.7554/elife.91529

Mokari-Mahallati, M., Ebrahimpour, R., Bagheri, N.,  and Karimi-Rouzbahani, H. (2023). Deeper neural network models better reflect how humans cope with contrast variation in object recognition. Neuroscience Research, 192 48-55. https://doi.org/10.1016/j.neures.2023.01.007

Karimi-Rouzbahani, H., Woolgar, A., Henson, R.,  and Nili, H. (2022). Caveats and nuances of model-based and model-free representational connectivity analysis. Frontiers in Neuroscience,  16. 755988. https://doi.org/10.3389/fnins.2022.755988

Karimi-Rouzbahani, H. and Woolgar, A. (2022). When the whole is less than the sum of its parts: maximum object category information and behavioral prediction in multiscale activation patterns. Frontiers in Neuroscience, 16. 825746 16. https://doi.org/10.3389/fnins.2022.825746.

Pavlov, Y. G., A., Nika, A., Stefan, A., Mahnaz, B., Christopher S. Y., Beste, C., Bland, A. R., Bradford, D. E., Bublatzky, F., Busch, N. A., Clayson, P. E., Cruse, D., Czeszumski, A., Dreber, A., Dumas, G., Ehinger, B., Ganis, G., He, X., Hinojosa, J. A., Huber-Huber, C., Inzlicht, M., Jack, B. N., Johannesson, M., Jones, R., Kalenkovich, E., Kaltwasser, L., Karimi-Rouzbahani, H.,... Mushtaq, F. (2021). #EEGManyLabs: Investigating the replicability of influential EEG experiments. Cortex,  144 213-229. https://doi.org/10.1016/j.cortex.2021.03.013

Karimi-Rouzbahani, H., Shahmohammadi, M., Vahab, E. Setayeshi, S.,  and Carlson, T. (2021). Temporal variabilities provide additional category-related information in object category decoding: a systematic comparison of informative eeg features. Neural Computation,  33 (11) 3027-3072. https://doi.org/10.1162/neco_a_01436

Merrikhi, Y., Shams-Ahmar, M., Karimi-Rouzbahani, H., Clark, K., Ebrahimpour, R.,  and Noudoost, B. (2021). Dissociable contribution of extrastriate responses to representational enhancement of gaze targets. Journal of Cognitive Neuroscience,  33 (10) 2167-2180. https://doi.org/10.1162/jocn_a_01750

Karimi-Rouzbahani, H., Ramezani, F., Woolgar, A., Rich, A., & Ghodrati, M. (2021). Perceptual difficulty modulates the direction of information flow in familiar face recognition. NeuroImage, 233, 117896.

Karimi-Rouzbahani, H., Woolgar, A., & Rich, A. N. (2021). Neural signatures of vigilance decrements predict behavioural errors before they occur. eLife, 10, e60563.

Karimi-Rouzbahani, H. (2018). Three-stage processing of category and variation information by entangled interactive mechanisms of peri-occipital and peri-frontal cortices. Scientific reports, 8(1), 12213.

Karimi-Rouzbahani, H., Bagheri, N., & Ebrahimpour, R. (2017). Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models. Scientific reports, 7(1), 14402.

Karimi-Rouzbahani, H., Bagheri, N., & Ebrahimpour, R. (2017). Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition. Neuroscience, 349, 48-63.