Burma, Joel S Johnson, Nathan E Oni, Ibukunoluwa K Lapointe, Andrew P Debert, Chantel T Schneider, Kathryn J Dunn, Jeff F Smirl, Jonathan D
Published in
Journal of Neural Engineering
Objective. The current paper describes the creation of a simultaneous trimodal neuroimaging protocol. The authors detail their methodological design for a subsequent large-scale study, demonstrate the ability to obtain the expected physiologically induced responses across cerebrovascular domains, and describe the pitfalls experienced when developin...
Torma, Szabolcs Szegletes, Luca
Published in
Journal of Neural Engineering
Objective. The development of deep learning models for electroencephalography (EEG) signal processing is often constrained by the limited availability of high-quality data. Data augmentation techniques are among the solutions to overcome these challenges, and deep neural generative models, with their data synthesis capabilities, are potential candi...
H Liu, Deland Hsieh, Ju-Chun Alawieh, Hussein Kumar, Satyam Iwane, Fumiaki Pyatnitskiy, Ilya Ahmad, Zoya J Wang, Huiliang Millán, José del R
Published in
Journal of Neural Engineering
Objective. Non-invasive electroencephalograms (EEG)-based brain–computer interfaces (BCIs) play a crucial role in a diverse range of applications, including motor rehabilitation, assistive and communication technologies, holding potential promise to benefit users across various clinical spectrums. Effective integration of these applications into da...
Hinss, Marcel F Jahanpour, Emilie S Brock, Anke M Roy, Raphaëlle N
Published in
Journal of Neural Engineering
Objective: A central component of search and rescue missions is the visual search of survivors. In large parts, this depends on human operators and is, therefore, subject to the constraints of human cognition, such as mental fatigue (MF). This makes detecting MF a critical step to be implemented in future systems. However, to the best of our knowle...
Tremmel, Christoph Krusienski, Dean J schraefel, mc
Published in
Journal of Neural Engineering
Objective. This study investigated the potential of estimating various mental workload levels during two different tasks using a commercial in-ear electroencephalography (EEG) system, the IDUN ‘Guardian’. Approach. Participants performed versions of two classical workload tasks: an n-back task and a mental arithmetic task. Both in-ear and conventio...
Estiveira, João Soares, Ernesto Pires, Gabriel Nunes, Urbano J Sousa, Teresa Ribeiro, Sidarta Castelo-Branco, Miguel
Published in
Journal of Neural Engineering
Objective. Neuronal oscillatory patterns are believed to underpin multiple cognitive mechanisms. Accordingly, compromised oscillatory dynamics were shown to be associated with neuropsychiatric conditions. Therefore, the possibility of modulating, or controlling, oscillatory components of brain activity as a therapeutic approach has emerged. Typical...
Katana, Dzana Jayasinghe, Suwan N Trbojevic, Sara Yin, Casey M Rodgers, Vanessa R Almarza, Alejandro J Marra, Kacey G
Published in
Journal of Neural Engineering
Objectives. Peripheral nerve injuries (PNI) represent the most common type of nervous system injuries, resulting in 5 million injuries per year. Current gold standard, autografts, still carry several limitations, including the inappropriate type, size, and function matches in grafted nerves, lack of autologous donor sites, neuroma formation, and se...
Han, Mingxiu Wang, Yuwen Liu, Xinyi Cheng, Xiangxin Niu, Haijun Liu, Tao
Published in
Journal of Neural Engineering
Objective. Prolonged engagement in tasks with varying attention demands is thought to elicit distinct forms of mental fatigue, potentially indicating variations in neural activity. This study aimed to investigate the association between mental fatigue and changes in electroencephalogram microstate dynamics during tasks with varying attention demand...
Kim, Jongsu Cho, Yang Seok Kim, Sung-Phil
Published in
Journal of Neural Engineering
Objective. In the pursuit of refining P300-based brain–computer interfaces (BCIs), our research aims to propose a novel stimulus design focused on selective attention and task relevance to address the challenges of P300-based BCIs, including the necessity of repetitive stimulus presentations, accuracy improvement, user variability, and calibration ...
Li, Zhongrui Tong, Li Zeng, Ying Gao, Yuanlong Gong, Diankun Yang, Kai Hu, Yidong Yan, Bin
Published in
Journal of Neural Engineering
Objective. Cognitive overload, as an overload state of cognitive workload, negatively impacts individuals’ task performance and mental health. Cognitive overload assessment models based on electroencephalography (EEG) can effectively prevent the occurrence of overload through early warning, thereby enhancing task execution efficiency and safeguardi...
