News
The journal articles by UMRAM researchers published in October 2026.
- Understanding Older Adults’ And Caretakers’ Attitudes Toward Social Robots Using Natural Language Processing and Thematic Analysis, International Journal of Social Robotics. Authors: Begüm Çonka, Burcu Aysen Urgen, Yasemin Afacan
- A recurrent neuronal model for the effect of predictions on sensory processes, Scientific Reports. Authors: Buse Merve Ürgen, Hilal İrem Baştürk, Hüseyin Boyacı

Our faculty member Burcu Ayşen Ürgen published a new paper titled “A parietal region processing numerosity of observed actions: An fMRI study” in European Journal of Neuroscience. The other authors of the…


A work from UMRAM focused on the fast methods for designing RF transmit array coils resulted in a manuscript entitled “Accelerating the co-simulation method for the design of transmit array coils for MRI.” In…


Görkem Er, Zahide Pamir and Hüseyin Boyaci have published an article titled ''Distinct patterns of surround modulation in V1 and hMT+'' in NeuroImage. Using fMRI and a well-studied motion paradigm, in which…

Abstract
Modulation of a neuron’s responses by the stimuli presented outside of its classical receptive field is ubiquitous in the visual system. This “surround modulation” mechanism is believed to be critical for efficient processing and leads to many well-known perceptual effects. The details of surround modulation, however, are still not fully understood. One of the open questions is related to the differences in surround modulation mechanisms in different cortical areas, and their interactions. Here we study patterns of surround modulation in primary visual cortex (V1) and middle temporal complex (hMT+) utilizing a well-studied effect in motion perception, where human observers’ ability to discriminate the drift direction of a grating improves as its size gets bigger if the grating has a low contrast, and deteriorates if it has a high contrast. We first replicated the findings in the literature with a behavioral experiment using small and large (1.67 and 8.05 degrees of visual angle) drifting gratings with either low (2%) or high (99%) contrast presented at the periphery. Next, using functional MRI, we found that in V1 with increasing size cortical responses increased at both contrast levels. Whereas in hMT+ with increasing size cortical responses remained unchanged or decreased at high contrast, and increased at low contrast, reflecting the perceptual effect. We also show that the divisive normalization model successfully predicts these activity patterns, and establishes a link between the behavioral results and hMT+ activity. We conclude that surround modulation patterns in V1 and hMT+ are different, and that the size-contrast interaction in motion perception is likely to originate in hMT+.

Mehdi Shafiei Aporvari, Mustafa Utkur, and Emine Ulku Saritas have published an article titled "Anisotropic Dynamics of a Self-assembled Colloidal Chain in an Active Bath" in Soft Matter. This paper was a…

Anisotropic macromolecules exposed to non-equilibrium (active) noise are very common in biological systems, and an accurate understanding of their anisotropic dynamics is therefore crucial. Here, we experimentally investigate the dynamics of isolated chains assembled from magnetic microparticles at a liquid-air interface and moving in an active bath consisting of motile E. coli bacteria. We investigate both the internal chain dynamics and the anisotropic center-of-mass dynamics through particle tracking. We find that both the internal and center-of-mass dynamics are greatly enhanced compared to the passive case, i.e., a system without bacteria, and that the center-of-mass diffusion coefficient D features a non- monotonic dependence as a function of the chain length. Furthermore, our results show that the relationship between the components of D parallel and perpendicular with respect to the direction of the applied magnetic field is preserved in the active bath compared to the passive case, with a higher diffusion in the parallel direction, in contrast to previous findings in the literature. We argue that this qualitative difference is due to subtle differences in the experimental geometry and conditions and the relative roles played by long-range hydrodynamic interactions and short-range collisions.

Emine Ülkü Sarıtaş, faculty member at UMRAM and Department of Electrical and Electronics Engineering (EEE) of Bilkent, has been promoted to Associate Professor level. Prior to joining Bilkent as a faculty member…

Dear 3T users, We would like to kindly ask all investigators to provide us the ethical and/or institutional approvals of their studies. Such an approval is required for all human and animal…
Dear 3T Users,
Thank you all for strictly following the rules previously announced. So far the 3T scanner is running smoothly. Nevertheless, in order to increase the efficiency of the usage we are making the following updates:
1. The obligatory gap after human and animal exams is reduced to three hours
2. The morning appointment MUST end latest at 14:00. This includes the subsequent obligatory gap. For example, if it is a human exam, the actual exam MUST end at 11:00.
3. The afternoon appointment MUST start after 14:00. If possible please start the exam as early as possible after 14:00, this would give a reasonable amount of time for a third session at night.
The Rules of using the UMRAM Schedule
1. It is not permitted to make resevations of a duration of 3 hours or more between 09:00-17:30, 2 or more work days prior to the day for which the reservation is made. For special cases, please contact the administrator.
2. Appointments for which the owner is more than 15 minutes late, without prior notification about the delay, may be cancelled and transfered to other users.
3. Users who have cancelled their appointments at least 24 hour prior to the scheduled time need to notify the group via e mail.
4. Users who cancel their appointment with short notice are required to find a replacement for their time slot. Therefore, they are advised to get in touch with the following appointment owners. If this is not possible they may cancel their appointment by notifying the administrator and the group.
5. If a user does not keep his/her appointment two times within a period of 30 days with no prior notification he/ she may lose their authorisation of acessing the MR calender and may thus be prohibited to schedule their own appointments.
6. Unforeseen delays in the scanner schedule due to technical problems will be compensated on the same day – as much as possible – depending on the availability in the schedule and the assessment by the administrator.
7. You must use the same colour with other user when you get a reservation on UMRAM 3T schedule.
For Hygiene Procedures please click; https://umram.bilkent.edu.tr/index.php/2020/06/15/umram-mri-scanner-hygiene-procedures-for-covid-19/

Alireza Sadeghi-Tarakameh, who is a PhD student of Ergin Atalar, published the results of a collaborative work between CMRR and UMRAM in a paper entitled “Improving radiofrequency power and specific absorption rate management…

Abstract
Purpose
In this study, we investigate a strategy to reduce the local specific absorption rate (SAR) while keeping B1+ constant inside the region-of-interest (ROI) at the ultra-high field (B0 ≥ 7 T) MRI.
Methods Locally raising the resonance structure under the discontinuity (i.e., creating a bump) increases the distance between the accumulated charges and the tissue. As a result, it reduces the electric field and local SAR generated by these charges inside the tissue. The B1+ at a point that is sufficiently far from the coil however is not affected by this modification. In this study, three different resonant elements (i.e., loop coil, snake antenna, and fractionated dipole (FD)) are investigated. For experimental validation, a bumped FD is further investigated at 10.5 T. After the validation, the transmit performances of eight-channel arrays of each element are compared through EM simulations. Results Introducing a bump reduced the peak 10g-averaged SAR by 21, 26, 23% for the loop and snake antenna at 7 T, and FD at 10.5 T, respectively. In addition, eight-channel bumped FD array at 10.5 T had a 27% lower peak 10g-averaged SAR in a realistic human body simulation (i.e., prostate imaging) compared to an eight-channel FD array. Conclusion In this study, we investigated a simple design strategy based on adding bumps to a resonant element to reduce the local SAR while maintaining B1+ inside an ROI. As an example, we modified an FD and performed EM simulations and phantom experiments with a 10.5T scanner. Results show that the peak 10g-averaged SAR can be reduced more than 25%.

Work of Koc Lab on natural language processing has resulted in an article entitled “Imparting interpretability to word embeddings while preserving semantic structure” published in Natural Language Engineering Journal of the Cambridge University Press. Authors of the article are Lüfti Kerem Şenel, İhsan Utlu, Furkan Şahinuç, Haldun Özaktaş and Aykut Koç.
Word embeddings are the crucial tools in many NLP tasks. However, their black-box nature restrains word embeddings from being explainable and interpretable. In this study, for the first time, by adding an external objective function to the conventional GloVe algorithm, words embeddings are given the feature of being interpretable. Furthermore, joint learning of interpretable word embeddings does not distort the underlying semantic structure of word embeddings.
The increase in the degree of interpretability within the word embeddings is shown by manual evaluations of human subjects as well as by qualitative and quantitative tests. Obtained results show that imparted word embeddings outperform similar studies in the literature.
Contribution of the study is essential to enhance explainable AI algorithms in the NLP field.
Abstract
As a ubiquitous method in natural language processing, word embeddings are extensively employed to map semantic properties of words into a dense vector representation. They capture semantic and syntactic relations among words, but the vectors corresponding to the words are only meaningful relative to each other. Neither the vector nor its dimensions have any absolute, interpretable meaning. We introduce an additive modification to the objective function of the embedding learning algorithm that encourages the embedding vectors of words that are semantically related to a predefined concept to take larger values along a specified dimension, while leaving the original semantic learning mechanism mostly unaffected. In other words, we align words that are already determined to be related, along predefined concepts. Therefore, we impart interpretability to the word embedding by assigning meaning to its vector dimensions. The predefined concepts are derived from an external lexical resource, which in this paper is chosen as Roget’s Thesaurus. We observe that alignment along the chosen concepts is not limited to words in the thesaurus and extends to other related words as well. We quantify the extent of interpretability and assignment of meaning from our experimental results. Manual human evaluation results have also been presented to further verify that the proposed method increases interpretability. We also demonstrate the preservation of semantic coherence of the resulting vector space using word-analogy/word-similarity tests and a downstream task. These tests show that the interpretability-imparted word embeddings that are obtained by the proposed framework do not sacrifice performances in common benchmark tests.


A collaborative work between CMRR and UMRAM resulted in a manuscript entitled “In vivo human head MRI at 10.5T: A radiofrequency safety study and preliminary imaging results.” In this study, the first human brain images obtained from a 10.5T system are shown. 10.5T is currently the highest field strength full-body imaging system in the world and housed at CMRR in the University of Minnesota. The first author of the paper is Alireza Sadeghi‐Tarakameh who is a PhD student of Ergin Atalar. The senior author of the article, Yiğitcan Eryaman is an assistant professor at CMRR and received his PhD degree from Bilkent University. The other authors of the paper are Lance DelaBarre, Russell L. Lagore, Angel Torrado-Carvajal, Xiaoping Wu, Andrea Grant, Gregor Adriany, Gregory J. Metzger, Pierre-Francois Van de Moortele, and Kamil Ugurbil of CMRR.
Abstract
Purpose
The purpose of this study is to safely acquire the first human head images at 10.5 T.
Methods
In order to ensure safety of subjects, we validated the electromagnetic (EM) simulation model of our coil. We obtained quantitative agreement between simulated and experimental B1+ and specific absorption rate (SAR). Using the validated coil model, we calculated radiofrequency (RF) power levels to safely image human subjects. We conducted all experiments and imaging sessions in a controlled RF safety lab and the whole-body 10.5T scanner in the Center for Magnetic Resonance Research (CMRR).
Results
Quantitative agreement between the simulated and experimental results was obtained including S-parameters, B1+ maps, and SAR. We calculated peak 10 g average SAR using four different realistic human body models for a quadrature excitation and demonstrated that the peak 10 g SAR variation between subjects was less than 30%. We calculated safe power limits based on this set and used those limits to acquire T2- and T2*-weighted images of human subjects at 10.5 T.
Conclusion
In this study, we acquired the first in vivo human head images at 10.5 T using an eight-channel transmit/receive (Tx/Rx) coil. We implemented and expanded a previously proposed workflow to validate the EM simulation model of the eight-channel Tx/Rx coil. Using the validated coil model, we calculated RF power levels to safely image human subjects.


The following hygiene procedures have been prepared for the safety of examiners, human participants and patients, our animal friends, and everyone working in UMRAM. Everyone MUST follow these rules strictly. Examiners, who…