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Stereo-electroencephalography (SEEG) is the gold standard to delineate surgical targets in focal drug-resistant epilepsy. SEEG uses electrodes placed directly into the brain to identify the seizure-onset zone (SOZ). However, its major constraint is limited brain coverage, potentially leading to misidentification of the 'true' SOZ. Here, we propose a framework to assess adequate SEEG sampling by coupling epileptic biomarkers with their spatial distribution and measuring the system's response to a perturbation of this coupling. We demonstrate that the system's response is strongest in well-sampled patients when virtually removing the measured SOZ. We then introduce the spatial perturbation map, a tool that enables qualitative assessment of the implantation coverage. Probability modelling reveals a higher likelihood of well-implanted SOZs in seizure-free patients or non-seizure free patients with incomplete SOZ resections, compared to non-seizure-free patients with complete resections. This highlights the framework's value in sparing patients from unsuccessful surgeries resulting from poor SEEG coverage.
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http://dx.doi.org/10.1038/s41467-024-49470-z | DOI Listing |
Neural Netw
September 2025
School of Electronic Science and Engineering, Nanjing University, China. Electronic address:
The Segment Anything Model (SAM) is a cornerstone of image segmentation, demonstrating exceptional performance across various applications, particularly in autonomous driving and medical imaging, where precise segmentation is crucial. However, SAM is vulnerable to adversarial attacks that can significantly impair its functionality through minor input perturbations. Traditional techniques, such as FGSM and PGD, are often ineffective in segmentation tasks due to their reliance on global perturbations that overlook spatial nuances.
View Article and Find Full Text PDFSci Adv
September 2025
Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China.
Organoids have emerged as powerful models for recapitulating tissue physiology and pathology in biomedical research. However, the need for consistent and complex manufacturing of organoids remains a challenge. The absence of standardization and quality control of cells dispersed within extracellular matrices impedes the widespread application of organoids.
View Article and Find Full Text PDFChem Sci
August 2025
School of Chemistry, University of Glasgow Joseph Black Building, University Avenue Glasgow G12 8QQ UK
Fluorescence imaging has become an indispensable tool in modern biology, enabling the visualisation of dynamic molecular processes with spatial and temporal precision. Traditional strategies rely heavily on the conjugation of large, extrinsic fluorophores, such as green fluorscent protein or organic dyes, through linkers to proteins or peptides of interest. While sometimes effective, these bulky labels can interfere with native protein structure, function, and interactions, limiting their utility in studying sensitive or compact biological systems.
View Article and Find Full Text PDFFront Artif Intell
August 2025
Aviation Industry Development Research Center of China, Beijing, China.
Autonomous systems operating in high-dimensional environments increasingly rely on prioritization heuristics to allocate attention and assess risk, yet these mechanisms can introduce cognitive biases such as salience, spatial framing, and temporal familiarity that influence decision-making without altering the input or accessing internal states. This study presents Priority Inversion via Operational Reasoning (PRIOR), a black-box, non-perturbative diagnostic framework that employs structurally biased but semantically neutral scenario cues to probe inference-level vulnerabilities without modifying pixel-level, statistical, or surface semantic properties. Given the limited accessibility of embodied vision-based systems, we evaluate PRIOR using large language models (LLMs) as abstract reasoning proxies to simulate cognitive prioritization in constrained textual surveillance scenarios inspired by Unmanned Aerial Vehicle (UAV) operations.
View Article and Find Full Text PDFJ Anim Ecol
September 2025
School of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Understanding how animals respond to ecological constraints is crucial for interpreting the dynamics of social networks in the wild. We investigated how experimentally induced changes in perceived predation risk and food abundance influence the social behaviour of wild rock hyraxes (Procavia capensis), using experimental manipulations and a meta-analytical framework. We used proximity sensors, trail cameras and observations to record multiple aspects of social interactions.
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