Article
Psychology, Multidisciplinary
Shao Li, Qi Ding, Yichen Yuan, Zhenzhu Yue
Summary: The study found that audio-visual causality increases sensitivity to audio-visual onset asynchrony, while there is an interaction between stimulus reliability and audio-visual causality. Participants were more tolerant of asynchrony in speech stimuli under high causality, and synchronous responses were higher for audio-visual intact stimuli under low causality, indicating a synergistic effect of top-down and bottom-up processing in audio-visual synchrony perception.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Engineering, Biomedical
Haoyin Xu, Sheng-Hsiou Hsu, Masaki Nakanishi, Yufan Lin, Tzyy-Ping Jung, Gert Cauwenberghs
Summary: Visual stimuli design in brain-computer interfaces based on visual evoked potentials (VEPs) plays a crucial role. This study comprehensively compared different combinations of stimulus parameters and their impact on decoding accuracy and subject comfort. The results revealed a trade-off relationship between decoding accuracy and subjective comfort level, with code-modulated VEPs (c-VEPs) being recommended for achieving reliable decoding accuracy while maintaining a reasonable level of comfortability.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Psychology, Developmental
Paige M. Siper, Mikaela A. Rowe, Sylvia B. Guillory, Audrey A. Rouhandeh, Julia L. George-Jones, Teresa Tavassoli, Stacey Lurie, Jessica Zweifach, Jordana Weissman, Jennifer Foss-Feig, Danielle Halpern, M. Pilar Trelles, Maureen S. Mulhern, Chloe Brittenham, James Gordon, Vance Zemon, Joseph D. Buxbaum, Alexander Kolevzon
Summary: This study examined excitatory and inhibitory postsynaptic activity in children with Phelan-McDermid syndrome (PMS) using visual evoked potentials (VEPs) and explored the association with genetic factors. The results showed distinct VEP waveform abnormalities in children with PMS, which might reflect underlying glutamatergic deficits associated with deletion size. VEPs offer a noninvasive measure that holds promise for clinical trials in PMS and ASD.
JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY
(2022)
Article
Ophthalmology
Shuting Liu, Kangjian Xiang, Qiannan Lei, Suo Qiu, Mengqing Xiang, Kangxin Jin
Summary: Visual evoked potential (VEP) is commonly used to evaluate visual acuity. This study established a new invasive procedure for VEP recording in mice and compared VEP parameters recorded under different conditions. The results show that VEP is greatly influenced by electrode locations and the difference between day and night. The newly established VEP procedure is reliable and stable, and is particularly useful for detecting loss of retinal ganglion cells (RGCs) in mouse models.
EXPERIMENTAL EYE RESEARCH
(2022)
Article
Psychology, Developmental
Amanda Cremone-Caira, Yael Braverman, Gabrielle A. A. MacNaughton, Julia I. I. Nikolaeva, Susan Faja
Summary: Given the overlap between autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), the study aimed to identify transdiagnostic markers by comparing visual evoked potential (VEP) between autistic children, autistic children with ADHD features, and neurotypical children. P1 mean amplitude was found to be reduced in autistic children with ADHD features compared to those without ADHD and neurotypical children, indicating distinct brain activity patterns.
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2023)
Article
Clinical Neurology
Xiaorong Tao, Xiaocui Yang, Xing Fan, Hao You, Yanwen Jin, Jiajia Liu, Dongze Guo, Chuzhong Li, Hui Qiao
Summary: The study demonstrates the effectiveness of intraoperative VEP monitoring in predicting post-operative visual deterioration in craniopharyngioma resection via EEEA. An extension over 8.61% in VEP latency is identified as a critical cut-off value for predicting post-operative visual deterioration.
FRONTIERS IN NEUROLOGY
(2021)
Review
Engineering, Biomedical
Victor Martinez-Cagigal, Jordy Thielen, Eduardo Santamaria-Vazquez, Sergio Perez-Velasco, Peter Desain, Roberto Hornero
Summary: The study shows that state-of-the-art c-VEP-based BCIs can provide accurate control of the system with a large number of commands, high selection speeds, and even without calibration, suggesting the potential for developing self-paced c-VEP-based portable BCIs for real-world environments. However, there is a lack of validation in real setups, especially with disabled populations, indicating the need for further research and development in this area.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Psychology, Multidisciplinary
Shuo Cao, Fang Yue, Shihui Zheng, Yang Fu, Jing Huang, Huili Wang
Summary: This study investigates the match between different verbalization forms and types of pictorial metaphors. The results show that "A(is)B" is more effective in expressing differentiated metaphoric meanings compared to "A(is like)B". In addition, A(is)B shows an interference effect in metaphor processing for both words and images. This study reveals the neuro-cognitive mechanism of processing verbo-pictorial metaphors and provides theoretical guidance for the design of multi-modal metaphors.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Neurosciences
Oliver R. Marmoy, Lisanne A. Horvat-Gitsels, Mario Cortina-Borja, Dorothy A. Thompson
Summary: Using an additional inferior electrode at the inion (Iz) improves the sensitivity of the pattern-reversal visual evoked potential (prVEP) in young persons, making it more effective for assessing visual pathway function in children. This finding has important implications for the evaluation of visual function in children. Routine use of the Iz electrode is recommended for prVEP recording in children.
JOURNAL OF PHYSIOLOGY-LONDON
(2023)
Article
Engineering, Biomedical
Masaki Nakanishi, Annalise Miner, Tzyy-Ping Jung, Jennifer Graves
Summary: Afferent and efferent visual dysfunction are important features of multiple sclerosis, and visual outcomes have been proven to be reliable biomarkers of the overall disease state. However, precise measurement of these dysfunctions is limited to specialized facilities, and the measurements are currently unavailable in acute care facilities. In this study, a novel moving mfSSVEP stimulus was developed to evaluate afferent and efferent visual function simultaneously on a mobile platform.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Clinical Neurology
Riccardo Carrai, Cristiana Martinelli, Fabrizio Baldanzi, Simonetta Gabbanini, Benedetta Gori, Giulia Masi, Simone Troiano, Camilla Bonaudo, Alice Esposito, Giovanni Muscas, Serena Tola, Riccardo Caramelli, Maddalena Spalletti, Francesco Lolli, Antonello Grippo, Luca Bucciardini, Andrea Amadori, Alessandro Della Puppa
Summary: This study investigated the feasibility of intraoperative VEP recording using a strip cortical electrode during neurosurgical procedures. The results showed that VEPs recorded with the strip electrode had greater stability and amplitude compared to those recorded with scalp electrodes. Further studies with larger sample sizes are needed to assess the clinical reliability of this technique.
WORLD NEUROSURGERY
(2023)
Article
Neurosciences
Alice Mado Proverbio, Veronica Broido, Francesco De Benedetto, Alberto Zani
Summary: The study reveals that N40 in the visual modality is modulated by alertness and selective attention, showing stronger responses to target stimuli and primarily sourced from the bilateral thalamic nuclei of pulvinar. Additionally, another component N80 responds more strongly to high frequency stimuli, while N40 is insensitive to spatial frequency and does not exhibit polarity inversion with frequency changes.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Ruchi Singh, Nirendra Kumar Rai, Ashish Gupta, Sunil Chouhan, Ankur Joshi, Manish Goyal
Summary: This study investigated the association between visual evoked potential (VEP) recordings and check size and reversal rates in migraineurs. The results showed that migraineurs had different VEP patterns compared to the control group, with higher latencies and amplitudes at smaller check sizes.
INTERNATIONAL JOURNAL OF NEUROSCIENCE
(2023)
Article
Chemistry, Analytical
Nannaphat Siribunyaphat, Yunyong Punsawad
Summary: This study proposes two SSVEP improvements to enhance the accuracy and reduce visual fatigue in brain-computer interface (BCI) systems. The first improvement involves modifying the flicker pattern to increase SSVEP response, while the second improvement utilizes QR code visual stimulus patterns to enhance SSVEP response and minimize visual fatigue. The results demonstrate that QR code patterns outperform the checkerboard patterns in terms of accuracy, and low-frequency QR code patterns can alleviate visual fatigue.
Article
Neurosciences
Chi Ieong Lau, Lin-Yuan Tseng, Vincent Walsh, Tzu-Yu Hsu
Summary: The study found no significant after-effects of tDCS on VEP amplitudes or habituation slopes in the visual cortex, nor any effects on EEG power of the frequency of stimulus presentation, theta or alpha band.
NEUROSCIENCE LETTERS
(2021)
Article
Multidisciplinary Sciences
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc J. Gollub, Stephan H. Heckers, Henkjan Huisman, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Jennifer S. Golia Pernicka, Kawal Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sebastien Ourselin, Manuel Wiesenfarth, Pablo Arbelaez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Ildoo Kim, Klaus Maier-Hein, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
Summary: This article presents the results of a biomedical image segmentation challenge and suggests that a method capable of performing well on multiple tasks will also generalize well to previously unseen tasks. By organizing the Medical Segmentation Decathlon (MSD), the study confirms that state-of-the-art image segmentation algorithms can generalize well when retrained on unseen tasks, and that consistent performance across multiple tasks is a strong indicator of algorithmic generalizability.
NATURE COMMUNICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Victor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant RaviKumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Summary: Accurate computing, analysis, and modeling of ventricles and myocardium are crucial for the diagnosis and treatment management of patients with myocardial infarction. This paper presents the selective results from a Multi-Sequence Cardiac MR Segmentation challenge, which provided a dataset of paired MS-CMR images for algorithm development and benchmarking. The results showed that the top-ranking algorithms could generate reliable and robust segmentation results, thanks to the inclusion of auxiliary sequences from MS-CMR images.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Nanoscience & Nanotechnology
Xingchen Dong, Yucheng Zhang, Hongwei Li, Yuntian Yan, Jianqing Li, Jian Song, Kun Wang, Martin Jakobi, Ali K. Yetisen, Alexander W. Koch
Summary: In this study, a deep-learning-based microscopic imagery deblurring (MID) technique was developed to restore the structural and color information of out-of-focus microscopic images. A pre-trained U-Net model was implemented for the segmentation and prediction of layer numbers of 2D nanosheets. This method enables accurate and large-area characterization of 2D semiconductors, providing valuable insights into local optical properties.
ACS APPLIED NANO MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Lukas Hiendlmeier, Francisco Zurita, Jonas Vogel, Fulvia Del Duca, George Al Boustani, Hu Peng, Inola Kopic, Marta Nikic, Tetsuhiko F. Teshima, Bernhard Wolfrum
Summary: A nerve interface that can fold itself to a cuff around a small nerve has been developed, improving the handling and implantation of electrodes for peripheral nerve interfacing. The self-folding electrodes are robust, stretchable, and can be easily implanted and extracted, showing potential for broader clinical applications.
ADVANCED MATERIALS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sarah Schlaeger, Hongwei Bran Li, Thomas Baum, Claus Zimmer, Julia Moosbauer, Sebastian Byas, Mark Muehlau, Benedikt Wiestler, Tom Finck
Summary: In this study, synthetic DIR images generated using deep learning techniques were found to effectively detect disease progression in patients with multiple sclerosis (MS). Compared to standard sequences, synthDIR images were able to detect more newly formed MS-specific lesions, increasing the rates of detected disease activity and potentially improving clinical decision-making.
INVESTIGATIVE RADIOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Patrick Bilic, Patrick Christ, Hongwei Bran Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohoefer, Julian Walter Holch, Wieland Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipkova, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Huelsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giro-I-Nieto, Felix Gruen, Xu Han, Pheng-Ann Heng, Jurgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jaeger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John Lowengrub, Jun Ma, Klaus Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern Menze
Summary: This study reports the setup and results of the Liver Tumor Segmentation Benchmark (LiTS), which involved diverse image datasets and evaluated multiple segmentation algorithms. The best algorithms achieved high scores for liver segmentation, but varied performance for tumor segmentation. Further research is needed for tumor detection. LiTS remains an active benchmark and resource for liver-related segmentation tasks.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Neuroimaging
Antonia Neubauer, Aurore Menegaux, Jil Wendt, Hongwei Bran Li, Benita Schmitz-Koep, Tobias Ruzok, Melissa Thalhammer, David Schinz, Peter Bartmann, Dieter Wolke, Josef Priller, Claus Zimmer, Daniel Rueckert, Dennis M. Hedderich, Christian Sorg
Summary: The claustrum structure in preterm-born neonates is found to be altered compared to term-born ones, showing increased volume, increased extracellular matrix, and impaired axonal integrity. These alterations in claustrum development may be relevant for later cognitive performance. The findings indicate the potential impact of prematurity on claustrum microstructure.
NEUROIMAGE-CLINICAL
(2023)
Article
Materials Science, Multidisciplinary
Leroy Grob, Lennart J. K. Weiss, Emir Music, Ilja Schwertfeger, George Al Boustani, Julian Feuerbach, Marta Nikic, Lukas Hiendlmeier, Philipp Rinklin, Bernhard Wolfrum
Summary: With the increasing use of silver nanoparticles in consumer products, there is a demand for cost-effective and on-site monitoring of their impact on the environment. This study introduces a method using screen-printed and laser-ablated microelectrode arrays for electrochemical detection of 20 nm-sized silver nanoparticles through collision chemistry. The electrodes' morphology is analyzed and their electrochemical properties are characterized, leading to the calibration of the microelectrode arrays and the demonstration of on-site applications with a portable nanoparticle detection device.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
Article
Clinical Neurology
A. Zhylka, N. Sollmann, F. Kofler, A. Radwan, A. De Luca, J. Gempt, B. Wiestler, B. Menze, A. Schroeder, C. Zimmer, J. S. Kirschke, S. Sunaert, A. Leemans, S. M. Krieg, J. Pluim
Summary: This study compared multilevel fiber tractography with functional motor cortex mapping and conventional deterministic tractography algorithms. The results showed that multilevel fiber tractography improved the coverage of the motor cortex by corticospinal tract fibers and provided a more detailed and complete visualization of the fiber trajectories.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2023)
Article
Engineering, Biomedical
Nouran Adly, Tetsuhiko F. Teshima, Hossein Hassani, George Al Boustani, Lennart J. K. Weiss, Gordon Cheng, Joe Alexander, Bernhard Wolfrum
Summary: Soft microelectrode arrays made of silk fibroin (SF) films are developed for recording cells' electrical activity and as a drug delivery system. Inkjet printing is used to fabricate carbon microelectrodes for in vitro cell action potential recordings. The study also demonstrates the tuning of SF to produce a permeable layer for on-demand drug delivery systems. This multifunctional MEA can enable in vitro drug screening with time-resolved and localized chemical stimuli.
ADVANCED HEALTHCARE MATERIALS
(2023)
Article
Oncology
Josef A. Buchner, Jan C. Peeken, Lucas Etzel, Ivan Ezhov, Michael Mayinger, Sebastian M. Christ, Thomas B. Brunner, Andrea Wittig, Bjoern H. Menze, Claus Zimmer, Bernhard Meyer, Matthias Guckenberger, Nicolaus Andratschke, Rami A. El Shafie, Juergen Debus, Susanne Rogers, Oliver Riesterer, Katrin Schulze, Horst J. Feldmann, Oliver Blanck, Constantinos Zamboglou, Konstantinos Ferentinos, Angelika Bilger, Anca Grosu, Robert Wolff, Jan S. Kirschke, Kerstin Eitz, Stephanie Combs, Denise Bernhardt, Daniel Rueckert, Marie Piraud, Benedikt Wiestler, Florian Kofler
Summary: This study compares the performance of different MRI sequences in automated brain metastasis (BM) segmentation. The T1-CE sequence alone achieved the best segmentation performance for BM, while the combination of T1-CE and T2-FLAIR sequences was important for edema segmentation.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yu Zhao, Chunmeng Tang, Bihao Cui, Arun Somasundaram, Johannes Raspe, Xiaobin Hu, Christina Holzapfel, Daniela Junker, Hans Hauner, Bjoern Menze, Mingming Wu, Dimitrios Karampinos
Summary: In this study, a multi-modal deep neural network-based method for the segmentation of supraclavicular brown adipose tissue (BAT) was proposed. The results showed that the proposed method outperformed the independent use of 2D or 3D networks, demonstrating the potential of deep learning-based segmentation methods for automated BAT segmentation.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia J. Wagner, Rami Al-Maskari, Emilia Gryska, Mihail Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertuerk, Daniel Rueckert, Rolf Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern Menze, Marie Piraud
Summary: Machine learning models are often evaluated and trained based on their similarity with reference annotations. However, in the biomedical domain, subjective annotations and low reliability among raters can lead to sub-optimal predictions. The concept of Peak Ground Truth (PGT) is introduced to determine the point where increasing similarity with reference annotations no longer leads to better Real World Model Performance (RWMP). A quantitative technique is proposed to approximate PGT by assessing inter- and intra-rater reliability. Four categories of PGT-aware strategies to evaluate and improve model performance are discussed.
2023 IEEE 20TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Anjany Sekuboyina, Jannik Irmai, Suprosanna Shit, Jan Kirschke, Bjoern Andres, Bjoern Menze
Summary: This work proposes a simple pipeline for labelling vertebrae in a spine CT image, which combines a fully convolutional neural network and a conditional random field. The pipeline achieves high levels of automation in the labelling task.
2023 IEEE 20TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI
(2023)
Article
Multidisciplinary Sciences
Jana Lipkova, Bjoern Menze, Benedikt Wiestler, Petros Koumoutsakos, John S. Lowengrub
Summary: Increased intracranial pressure is a major source of critical symptoms and death in patients with glioma. Existing models are unable to simulate pressure distribution accurately due to the complexity of model parameters. This study presents a novel model that directly derives pressure from tumor dynamics and patient-specific anatomy, providing non-invasive insights into the patient's condition.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2022)