Article
Computer Science, Artificial Intelligence
Hongze Zhao, Yuanfang Chen, Weihua Pei, Hongda Chen, Yijun Wang
Summary: This study proposed a VEP-based biometric system and found that codemodulated VEPs achieved the highest correct recognition rates in person identification compared to other VEP types.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Review
Neurosciences
Alexander Schielke, Bart Krekelberg
Summary: The author systematically reviewed studies on altered rhythmic responses to visual stimulation in individuals with schizophrenia using steady state visual evoked potentials (SSVEPs). The results indicated that people with schizophrenia exhibited decreased SSVEPs compared to controls across different frequencies and electrode locations, with null results being common. Most studies focused on frequencies within the alpha and beta bands, and investigations of the gamma band were rare.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Clinical Neurology
J. Castricum, J. H. M. Tulen, A. M. Heuvelmans, G. Geleijnse, D. C. G. Straver, W. Taal, S. A. Kushner, Y. Elgersma
Summary: The study investigates visual cortical plasticity in patients with neurofibromatosis type 1 (NF1) using visual evoked potentials (VEPs). The results show that individuals with NF1 may have reduced visual cortical plasticity compared to controls. These findings contribute to the assessment of using neurophysiological outcome measures in intervention studies of cognitive deficits among NF1 patients.
CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Neurosciences
Alexander M. Dreyer, Benjamin L. A. Heikkinen, Christoph S. Herrmann
Summary: This study evaluates the influence of different modulation indices on FM-SSVEPs and finds that increasing the modulation index enhances the FM-SSVEP responses but also decreases the user experience.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Computer Science, Information Systems
Masaki Nakanishi, Yutaro Tanji, Toshihisa Tanaka
Summary: This study introduces a novel waveform-coding method for multi-target SSVEP-based BCIs, achieving task identification and spelling tasks through a virtual keyboard design and TRCA algorithm, with promising results in both offline and online experiments.
Article
Computer Science, Information Systems
Yuanpei Gao, Aravind Ravi, Ning Jiang
Summary: Changes in proximity of stimuli affect the performance of brain computer interfaces based on SSVEP. SSMVEP has been proposed to overcome some limitations of SSVEP and in this study, it outperforms SSVEP in the presence of competing stimuli. SSVEP performs better at lower frequencies while SSMVEP excels at higher frequencies, indicating SSMVEP may be more practical in real-world applications.
Article
Behavioral Sciences
Kabilan Pitchaimuthu, Giulia Dormal, Suddha Sourav, Idris Shareef, Siddhart S. Rajendran, Jose Pablo Ossandon, Ramesh Kekunnaya, Brigitte Roeder
Summary: This study investigated the neural correlates of individuals with congenital pattern vision deprivation using steady state visual evoked potentials (SSVEPs). The results suggested a stronger experience dependence of extrastriate than striate cortical processing in individuals with congenital cataracts, and indicated a sensitive period for the development of neural mechanisms mediating visual feature binding.
Article
Neurosciences
Placido Sciortino, Christoph Kayser
Summary: Crossmodal correspondences refer to our tendency to associate sensory features from different modalities with each other. This study used steady-state visual evoked potentials (SSVEP) to investigate the neural processes underlying the pitch-size association. The results suggest that this association occurs in low-level visual cortices and may contribute to establishing causal relations between multisensory objects. Additionally, the study provides a paradigm that can be used to study other crossmodal associations involving visual stimuli in the future.
Article
Biophysics
Phenghai Li, Can Yin, Mingji Li, Hongji Li, Baohe Yang
Summary: A semi-flexible polydopamine (PDA)/Pt-TiO2 electrode was prepared for dry-contact acquisition of EEG signals, with low interface impedance with the scalp. In SSVEP-based BCI system, the dry electrode can collect high-quality EEG feedback signals and effectively control external devices.
BIOSENSORS & BIOELECTRONICS
(2021)
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
Engineering, Biomedical
Bingchuan Liu, Xinyi Yan, Xiaogang Chen, Yijun Wang, Xiaorong Gao
Summary: This study investigated the effect of tACS on healthy human subjects and found that tACS significantly boosted the frequency of SSVEP. Additionally, the aftereffect on SSVEP decreased with time and lasted up to 5 minutes.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Engineering, Biomedical
Xi Zhao, Zhenyu Wang, Min Zhang, Honglin Hu
Summary: This study proposes a new stimulation paradigm (SSPVEP) to reduce visual fatigue in long-term use of SSVEP-BCI by utilizing peripheral vision for better comfort. Through optimization schemes to improve the classification accuracy of SSPVEP signal detection, the results indicate that the method effectively reduces visual fatigue.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Psychology, Clinical
Alina T. Henn, Tiana Borgers, Silja Vocks, Claire-Marie Giabbiconi, Andrea S. Hartmann
Summary: This study experimentally tested key facets of body size evaluation processes in individuals with AN, revealing significant differences in cognitive and emotional arousal responses compared to healthy controls.
Article
Engineering, Biomedical
Aravind Ravi, Jing Lu, Sarah Pearce, Ning Jiang
Summary: This study evaluated the effect of background change on steady state visually evoked potentials (SSVEP) and steady state motion visually evoked potentials (SSMVEP) based brain computer interfaces (BCI) in a small-profile augmented reality (AR) headset. The results showed that SSMVEP was more robust to background change compared to SSVEP and had higher decoding accuracy using the C-CNN method.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Engineering, Biomedical
Xinyi Chi, Chunxiao Wan, Chunyan Wang, Yong Zhang, Xiaogang Chen, Hongyan Cui
Summary: This study proposes a novel hybrid BCI that combines MI and intermodulation SSVEPs to improve performance by reducing task complexity and improving user-friendliness. The results show high recognition accuracy, verifying the feasibility and robustness of the proposed system.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)