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Hulusi Kafalıgönül and colleagues have published “Biological motion is perceived as faster with shorter auditory time intervals” in Scientific Reports (June 2026).

Participants judged the walking speed of point-light figures, simple animations of a person made of dots, while hearing footstep sounds. When the gaps between footsteps were shorter, the same walker was seen as moving faster, and the effect did not depend on the timing of the first or last step alone. The study shows that what we hear can change how fast we see others move.

Authors: Sudenur Özkan, Seyma Koc Yilmaz, Hulusi Kafalıgönül

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Aykut Koç and colleagues have published “Fractional Fourier transform based visibility graphs” in Digital Signal Processing (June 2026).

Visibility graphs turn a time series, such as a biomedical or energy signal, into a network that is easy to interpret. This paper weights the links of these graphs using the fractional Fourier transform, a generalization of the familiar Fourier transform, and lets the method learn the best transform setting from the data. Tested on biomedical, industrial and energy benchmarks, the approach gives signal analysis a more flexible way to represent data.

Authors: Ecem Şimşek, Haldun M. Özaktaş, Aykut Koç

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Ergin Atalar and colleagues have published “SAR-Efficient Sub-Volume Imaging Using Nonlinear Gradient Magnetic Fields” in Journal of Imaging (June 2026).

The study shows how nonlinear gradient magnetic fields can be used to image only a small region of the body with MRI. Because these fields encode in two directions at once, they allow fast reduced field-of-view imaging with standard radiofrequency pulses. The authors compare the approach with conventional selective pulses in scan time, echo time and tissue heating (SAR). Imaging only the region of interest could make targeted scans faster while depositing less RF energy in the body.

Authors: Emre Kopanoğlu, Ergin Atalar, Robert Todd Constable

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Oktay Algın and colleagues have published “The Cribriform Plate: A Multifaceted Neuroimmune Hub in CNS Health and Disease” in Medicina (June 2026).

This review looks at the cribriform plate, the thin bone at the base of the skull through which the nerves of smell pass. Recent evidence points to it as a hub for draining brain fluid and for immune activity, rather than a passive barrier. The authors discuss what this means for diagnosing neurological diseases and for delivering drugs through the nose to the brain.

Authors: Kadir Çetinkaya, Oktay Algın

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Tolga Çukur and colleagues have published “MicroKAN: Mapping human brain microstructure using diffusion MRI and adaptive nonlinear modeling” in NeuroImage (June 2026).

Diffusion MRI can reveal the fine structure of brain tissue, but conventional analysis needs long scans and heavy computation. The paper presents MicroKAN, a deep learning framework based on Kolmogorov-Arnold Networks that maps diffusion signals to tissue properties and can be trained with or without reference data. Shorter scans and faster analysis could make these detailed brain measurements more practical in research and in the clinic.

Authors: Yifei Chen, Zihan Li, Yuanhan Wang, Yijin Li, Jialan Zheng, Hongjia Yang, Mingxuan Liu, Tolga Çukur, Qiuyun Fan, Ziyu Li, Jie Lu, Qiyuan Tian

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Burcu Aysen Urgen and colleagues have published “A database of digital line drawıngs that depict expected and unexpected action-place relationships” in Vision Research (June 2026).

The paper presents a database of digital line drawings that show actions taking place in expected or unexpected locations. Such standardized images give researchers ready-made material for studying how the setting of an action shapes the way we perceive it.

Authors: Sabiha Tezcan Aydemir, Seray Tezcan Umul, Burcu Aysen Urgen

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Burcu Aysen Urgen and colleagues have published “Direction selectivity in naturalistic action observation: distributed representations across the action observation network” in Brain Structure and Function (May 2026).

Using fMRI and 96 videos of everyday actions performed left-right, up-down or front-back, the study asks how the brain encodes the direction of naturalistic actions. The direction of an action could be decoded from activity in visual, parietal and motor areas, most strongly in visual, primary motor and somatosensory regions. Direction helps us read others’ intentions, and the results show this information is spread across the brain’s action observation network.

Authors: Zelal Eltas, Murat Batu Tunca, Burcu Aysen Urgen

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Oktay Algın and colleagues have published “Nimodipine and enoxaparin improve neurological outcomes and reduce cerebral edema by modulating glymphatic perivascular spaces in a rabbit model of subarachnoid hemorrhage” in Journal of Stroke and Cerebrovascular Diseases (May 2026).

In an exploratory study in rabbits with experimentally induced subarachnoid hemorrhage, a type of bleeding around the brain, the researchers tested two drugs already used in clinical care, nimodipine and enoxaparin. Both improved neurological outcomes and reduced brain swelling, with changes in the perivascular spaces of the glymphatic system, the brain’s fluid clearance pathway. The study offers early clues on how these standard treatments may act after this kind of brain bleed.

Authors: Kadir Çetinkaya, Yasar Ünsal, Mehmet Özgür Özateş, Oktay Algın, Gıyas Ayberk

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Oktay Algın and colleagues have published “Integrated Image Enhancement and Radiomic Analysis for Ultra-High-Field 7T Time-of-Flight MR Angiography” in Applied Sciences (April 2026).

The study presents TOFR-VET, a MATLAB toolkit that brings vessel enhancement, image quality measurement and radiomic feature extraction into one workflow for 7 Tesla time-of-flight MR angiography of brain vessels. Tested on scans from 120 people, it shows how different enhancement methods change image quality and the quantitative features extracted from the images. A standard workflow makes measurements from these detailed vessel images more consistent and comparable.

Authors: Hussain A. Jaber, İlyas Çankaya, Oktay Algın

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Michelle M. Adams and colleagues have published “Selection of appropriate reference genes in Apoe-/- mouse brain” in IBRO Neuroscience Reports (April 2026).

Gene expression measurements by qPCR depend on reference genes whose activity stays stable. The study tested six commonly used reference genes in three brain regions of normal and Apoe-deficient mice fed a standard or a Western diet, to find which ones are reliable. Choosing the right reference genes makes brain studies in this widely used mouse model more accurate.

Authors: N. Mengi, Büşranur Şeker, Fulya Kızıldağ, Tülin Yanık, Michelle M. Adams

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Hüseyin Boyacı and Katja Doerschner and colleagues have published “Perceiving material qualities from moving contours” in Scientific Reports (April 2026).

Can the way an object’s outline moves tell us what it is made of? This study separates contour motion from surface appearance to test whether moving outlines alone carry information about material qualities. The work adds to our understanding of how we judge materials at a glance.

Authors: Amna Malik, Ying Yu, Hüseyin Boyacı, Katja Doerschner

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Aykut Koç and Tolga Çukur and colleagues have published “Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models” in IEEE Journal of Biomedical and Health Informatics (March 2026).

Medical vision-language models read chest X-rays together with their radiology reports, and their accuracy depends on how well images and text are aligned. The paper introduces MedTrim, which uses details extracted from the reports, such as the location, size and severity of findings, to align the two more precisely. Better alignment can make AI tools that support radiologists with growing workloads more reliable.

Authors: Melih Yilmaz, Şaban Öztürk, Muti Kara, M. Talat Yavuz, Ekim Gümeler, Aykut Koç, Tolga Çukur

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