Blink Research Articles

Effect of Forward and Reverse Suturing on Nerve Regeneration Following Facial Nerve Axotomy

Background/Objectives: When the facial nerve is severed and a nerve graft is required, motor nerves are typically connected in the forward direction, while sensory nerves are connected in the reverse direction. However, there is limited research on the effects of reversing this connection, and no studies have been conducted using the same facial nerve. This study aimed to investigate the effects of forward and reverse suturing on nerve regeneration following facial nerve axotomy. Methods: The facial nerve trunk of male Sprague Dawley rats was incised to induce facial nerve injury, and autografts were sutured using both forward and reverse methods. Behavioral tests, including whisker reflex and eye blink tests, were conducted. Histological analyses, including toluidine blue staining and transmission electron microscopy (TEM), were performed to evaluate axon recovery. Results: Behavioral experiments showed signs of recovery at 3–4 weeks in both the forward and reverse suture groups, with no significant differences between the two methods (p < 0.01). Histological analysis showed partial recovery by 8 weeks in both groups. Toluidine blue staining indicated a reduction in the number of axons at 4 weeks, with partial recovery at 8 weeks (p < 0.001) in both groups. TEM analysis revealed that myelin fiber thickness was restored in both the forward and reverse suture groups, though it remained thinner compared to normal (p < 0.01). Conclusions: Our results suggest that the direction of nerve suturing (forward vs. reverse) does not significantly impact nerve regeneration or functional recovery. Both suturing methods demonstrated similar recovery effects, with no significant differences in microstructural regeneration. Future studies should investigate the molecular mechanisms underlying nerve regeneration and extend the observation period to provide a more comprehensive understanding of this process.

When noise becomes signal: a study of blink rate using an eye tracker.

Although blink rate is considered important for digital eye strain and dry eye conditions, its assessment has been mostly manual. This study aimed at quantifying blink rate automatically using the Eyelink 1000 Plus eye tracker and comparing it with manual counting. Additionally, blink rate was correlated with reading eye movements and reading speed. Thirty participants (mean age 26.8±3.5 years; 19 females) were enrolled. An on-screen reading task for 3 minutes duration, was repeated 3 times with a 2-minute break between the repetitions. During this task, eye movements and blinks were measured through the Eyelink 1000 Plus eye tracker. The blink was also counted manually by the examiner in real time from a video feed. The blink rate obtained by the eye tracker (median [Q1, Q3]:11.7 [6.8,15.5] blinks/min) and manual counting (11.6 [7.1, 15.4] blinks/min) were comparable (p>0.5). No significant correlations were observed between the blink rate and any of the reading eye movement parameters except saccadic amplitude (Spearman's rho, rs =0.506). No statistically significant correlation was found between the blink rate and reading speed. The Eyelink 1000 Plus eye tracker gives a comparable blink rate compared to that obtained through manual counting. A positive correlation between the blink rate and saccade amplitude could indicate a coupled interaction between the two mechanisms to minimize visual loss during reading. The option of using this tracker to investigate blinks in dry eye and binocular vision disorders can be further explored.

Clinically Probable Multiple System Atrophy Presenting Ptosis as an Early Manifestation

Many ocular features were found in patients with multiple system atrophy (MSA), which include dry eye, blepharospasm, eye movement problems, and blink reflex dysfunction. Some of these symptoms are associated with autonomic dysfunctions seen in MSA. We report a young clinically-probable MSA patient with bilateral ptosis at an early disease stage. Although there is no clear evidence that ptosis, in this case, was caused by abnormalities in the sympathetic cholinergic system, the selective impairment of sudomotor function implied an injured sympathetic cholinergic system secondary to MSA pathology. Ocular manifestations need more attention in clinical examinations of patients with MSA.

EEG Eye Blink Artifacts Removal with Wavelet Denoising and Bandpass Filtering

التحويل المويجي (WT) هو طريقة رياضية شائعة لاستخراج المعلومات من مصادر البيانات المختلفة. ومع ذلك ، عندما يتعلق الأمر بفصل المصدر الأعمى (BSS) ، فقد كان هناك بعض فقدان الإشارة المرتبط باستخدام WT. لمعالجة هذا الأمر ، تم استخدام خوارزمية هجينة تجمع بين ترشيح WT و Bandpass (BPF) لتصحيح الأخطاء. في هذه الدراسة ، تم اقتراح خوارزمية جديدة تستخدم مزيجًا من خوارزمية تحويل المويجات التطوري (EWT) ، والتي تسمى تقنية Wavelet De-Noising (WDT) ، وإجراء تصفية Band-Pass (BPF) للقضاء على رفرفة العين في مخطط كهربائية إشارات الدماغ (EEG). الهدف الرئيسي للخوارزمية هو إزالة إشارات EEG الناتجة عن حركات العين في قناة FP1 للحصول على إشارة EEG موثوقة. توضح النتائج أن هذا التكامل أكثر كفاءة من WT التقليدي ، كما تم تقييمه بواسطة قياسات نسبة الإشارة إلى الضوضاء (SNR) وقياسات الكثافة الطيفية للطاقة (PSD) التي تقيم كفاءة عملية الإزالة.

Accident Prevention System for Cars, Buses, Trucks

Driver drowsiness is a significant factor in road accidents, contributing to a large number of crashes annually. To enhance road safety, the development of a Drivers Drowsiness Detection System is essential. This system builds to detect early signs of lazyness in drivers and provide timely alerts to prevent accidents. The proposed system uses to track key indicators of drowsiness, such as eye closure, head position, yawning, and blink rate. By utilizing a camera-based real-time monitoring system, it continuously analyzes the driver’s facial expressions. The system employs cadcade algorithms to distinguish a featurebased object detection algorithm to detect objects from images between alert and drowsy states based on collected data. When drowsiness is detected, the system triggers alerts like audio warnings, seat vibrations, or even vehicle slowing mechanisms, depending on the integration. This technology has the potential to significantly reduce the number of road accidents related to driver fatigue and could be applied in both personal vehicles and commercial fleets. The implementation of such systems represents a critical step toward improving road safety and decreasing driver-related incidents. Nowadays it is very challenging to stay active all the time due to busy schedules. Falling asleep while driving can lead to serious consequences, accidents, and even death. This situation is much more common and therefore it is very important to solve this problem. So, to solve this problem, we developed a sleep alarm system for drivers. This system alerts the user when he falls asleep at the wheel, thus the main concern is preventing accidents and saving lives. This system is useful for long- distance travelers and late-night drivers.

High-Fidelity and High-Efficiency Talking Portrait Synthesis With Detail-Aware Neural Radiance Fields.

In this paper, we propose a novel rendering framework based on neural radiance fields (NeRF) named HH-NeRF that can generate high-resolution audio-driven talking portrait videos with high fidelity and fast rendering. Specifically, our framework includes a detail-aware NeRF module and an efficient conditional super-resolution module. Firstly, a detail-aware NeRF is proposed to efficiently generate a high-fidelity low-resolution talking head, by using the encoded volume density estimation and audio-eye-aware color calculation. This module can capture natural eye blinks and high-frequency details, and maintain a similar rendering time as previous fast methods. Secondly, we present an efficient conditional super-resolution module on the dynamic scene to directly generate the high-resolution portrait with our low-resolution head. Incorporated with the prior information, such as depth map and audio features, our new proposed efficient conditional super resolution module can adopt a lightweight network to efficiently generate realistic and distinct high-resolution videos. Extensive experiments demonstrate that our method can generate more distinct and fidelity talking portraits on high resolution (900 × 900) videos compared to state-of-the-art methods. Our code is available at https://github.com/muyuWang/HHNeRF.

Small Fiber Neuropathy in Burning Mouth Syndrome: A Systematic Review

Burning mouth syndrome (BMS) is a chronic idiopathic orofacial pain disorder, characterized by persistent burning sensations and pain without clear pathological causes. Recent research suggests that small fiber neuropathy (SFN) may play a significant role in the neuropathic pain and sensory disturbances associated with BMS. Following PRISMA guidelines, this systematic review aims to evaluate and synthesize current evidence supporting SFN’s involvement in BMS. The protocol is registered in PROSPERO (CRD42024555839). The results show eight studies reported reductions in nerve fiber density in tongue biopsies (ranging from 30% to 60%), along with morphological changes indicative of small fiber damage. Additionally, an increase in TRPV1-positive, NGF-positive, and P2X3-positive fibers, overexpression of Nav1.7, and slight underexpression of Nav1.9 mRNA were observed in BMS patients. Quantitative Sensory Testing in seven studies revealed sensory abnormalities such as reduced cool detection and cold pain thresholds. Blink reflex and corneal confocal microscopy also indicated peripheral and central small fiber damage, along with increased artemin mRNA expression. The evidence strongly supports SFN as a key factor in the pathophysiology of BMS, particularly due to reductions in nerve fiber density and altered sensory thresholds. However, variability across studies highlights the need for larger, standardized research to establish causal relationships and guide therapeutic strategies.

Comparative Analysis of Blink Rates During Printed and On-Screen Reading Across Varying Screen Sizes

Objective: To compare the blink rates during resting periods and while engaging in printed and on-screen reading across different digital screen dimensions.Material and Methods: This study involved thirty-two university students with normal vision, who were recorded during a 3-minute conversation to establish baseline blink rates and subsequently during four reading conditions. Participants read four passages under different conditions: printed text, smartphone, tablet, and computer screens. Video recordings were then analysed to quantify blink rates (blinks per minute, bpm) for each condition.Results: Blink rates significantly decreased in all reading scenarios compared to the baseline resting condition (p-value<0.05). Analysis via repeated measures ANOVA demonstrated significant differences in blink rates across all reading conditions (p-value<0.01). Pairwise comparisons revealed that blink rates during smartphone reading were notably lower than printed text, tablets, and computers (p-value<0.05). Conversely, blink rates exhibited no significant differences between printed text and tablet, printed text and computer, and computer and tablet readings (p-value>0.05).Conclusion: The study reveals a consistent decrease in blink rates during various reading conditions with different digital screens compared to resting states, highlighting the influence of visual engagement on ocular behaviour. Reading with a smartphone has decreased blink rates, which may affect eye health and device use. Understanding these dynamicscan guide ergonomic design to reduce visual discomfort from digital screen use, supporting healthy reading habits in the digital age.

AnEEG: leveraging deep learning for effective artifact removal in EEG data

In neuroscience and clinical diagnostics, electroencephalography (EEG) is a crucial instrument for capturing neural activity. However, this signal is polluted by different artifacts like muscle activity, eye blinks, environmental interference, etc., which makes it more difficult to retrieve important information from the signal. Deep learning methods have demonstrated the potential to lower these artifacts and enhance the EEG’s quality in recent years. In this work, a novel deep learning method,“AnEEG” is presented for eliminating artifacts from EEG signal. The quantitative matrices NMSE, RMSE, CC, SNR and SAR are calculated to confirm the effectiveness of the proposed model. Through this process, it was found that the suggested model outperformed wavelet decomposition techniques. The model achieves lower NMSE and RMSE values, which indicates better agreement with the original signal. Achieving higher CC values means stronger linear agreement with the ground truth signals. Additionally, the model shows improvements in both SNR and SAR values. Overall, this suggested approach showcases promising results in improving the quality of EEG data by utilizing deep learning.

Spontaneous eye blinking as a diagnostic and prognostic marker in disorders of consciousness: Protocol of an international multicentre longitudinal study.

Diagnostic and prognostic decision-making in patients with Disorders of Consciousness (DoC) is challenging. It has been suggested that spontaneous eye blink rate is an index of patients' level of consciousness easy to detect in clinical practice. Further blinking features (i.e., amplitude, duration, variability in intervals between blinks) may change as a function of cognitive load, but have not been investigated in patients with DoC. This multicentre, longitudinal study aims at exploring the diagnostic and prognostic value of spontaneous eye blinking features in DoC. Eight European medical institutions will enrol consecutively admitted adult patients with DoC. Within two weeks from study entry demographic, anamnestic and clinical data will be collected. Moreover, patients will undergo two 20-minute EEG-EOG recordings at rest, to collect blinking features and EEG activity. A clinical follow-up will be performed after 6 months. A group of healthy individuals will be enrolled for reference. Possible differences in blink features between patients and the reference group, differences across diagnostic sub-groups, and correlations between blinking features and clinical outcome will be investigated. The results of this study might help clinicians to reduce misdiagnosis rate in DoC and provide useful information for prognostication and care pathway plan.

Changes in the eye blink and half-blink rates in horses as a reaction to a stressor: A preliminary study

Changes in the eye blink and half-blink rates in horses as a reaction to a stressor: A preliminary study

Stimulated Blink Reflex Abnormalities Before And After Sport-related Concussion And Association With Self-reported Symptoms

Stimulated Blink Reflex Abnormalities Before And After Sport-related Concussion And Association With Self-reported Symptoms

Assessment Of Stimulated Blink Reflex And Symptoms Over Time In Collegiate Athletes With Sport-related Concussion

Assessment Of Stimulated Blink Reflex And Symptoms Over Time In Collegiate Athletes With Sport-related Concussion

Effect of Heating and Massaging of Meibomian Glands on Their Imaging

Background and Objectives: Infrared light is used to image the Meibomian glands through their thermal profile. This study aimed to investigate the effects of a combination of heating and an eyelid massage on Meibomian gland visibility and tear film parameters. Materials and Methods: Twenty-four participants (26 ± 6.9 years) were enrolled in this prospective study, which involved imaging the Meibomian glands of both the lower and upper eyelid and assessing the non-invasive breakup time (NIBUT), tear meniscus height (TMH), and blink rate (using the CA-800, Topcon) at baseline after five minutes of eyelid warming followed by a five-minute eyelid massage. The second session, which was randomised in sequence, repeated the same measurements but without the inclusion of any eyelid warming or massage as the control condition. Results: While there was no change in lower lid Meibomian gland appearance as a result of eyelid heating, eyelid massage, or multiple lid eversion (median 2.0, range 0.0 to 4.0; p = 0.782), there was a change in upper lid appearance 5 min after heating and lid massage (p = 0.025), but again, multiple lid eversion had no effect (p > 0.05). The NIBUT decreased on second lid eversion (p = 0.049), although this was not evident on the third lid eversion (p = 0.090). The effect on NIBUT was also apparent with heating (p = 0.034 immediately after) but was sustained with 5 min of eyelid massage (p = 0.031). The TMH increased with heating (p < 0.001), and this effect was sustained with 5 min of eyelid massage (p = 0.011), but there was no lid eversion effect (p > 0.05). The blink rate was unaffected by heating, eyelid massage, or multiple eversions of the eyelids (median 24 blinks/min, range 8 to 59 blinks/min; p = 0.61). Conclusions: Eyelid warming can increase the visibility of the Meibomian glands, although this effect was only observed with upper lid imaging and the effect dissipated after 5 min of eyelid massage. Warming and massage also disrupt the tear film, as does multiple lid eversion, emphasising the need to use the least invasive tear film assessment techniques first.

Evaluating Users’ Perception of Biologically Inspired Involuntary Behavior in Human–Robot Interaction

Multimodal communication is a human feature that enables diverse interactions. In human–robot interaction (HRI), robots have to communicate using human skills so that they can seem natural and assist effectively. Most research uses predefined gestures to equip robots with social abilities. However, researchers scarcely consider generating bioinspired involuntary behavior to improve a robot's expressiveness and communication. Human studies revealed that involuntary behavior affects how others perceive communicative intentions. Therefore, mimicking human involuntary behavior may positively affect HRI. This article extends our previous work on equipping robots with involuntary behavior with a user study that evaluates the use of bioinspiration for complementing gestures. A preliminary test is conducted with 15 participants to determine if they can perceive the intensities of the involuntary processes heart rate, pupil size, blink rate, breathing rate, and motor activity. 63 new participants interacted with a robot with bioinspired behaviors or a robot only showing predefined gestures to evaluate the robots’ warmth, competence, and discomfort. The results show that the preliminary test participants differentiated the intensities of the involuntary processes. Participants in the second study find the robot with bioinspired behaviors significantly warmer and more competent than the robot with predefined gestures, with no discomfort difference.

Electro-Stimulation System with Artificial-Intelligence-Based Auricular-Triggered Algorithm to Support Facial Movements in Peripheral Facial Palsy: A Simulation Pilot Study.

Facial palsy causes severe functional disorders and impairs quality of life. Disturbing challenges for patients with acute facial palsy, but also with those with chronic facial palsy with synkinesis, are the loss of the ability to smile and insufficient eyelid closure. A potential treatment for these conditions could be a closed-loop electro-stimulation system that stimulates the facial muscles on the paretic side as needed to elicit eye closure, eye blink and smile in a manner similar to the healthy side. This study focuses on the development and evaluation of such a system. An artificial intelligence (AI)-based auricular-triggered algorithm is used to classify the intended facial movements. This classification is based on surface electromyography (EMG) recordings of the extrinsic auricular muscles, specifically the anterior, superior, and posterior auricular muscle on the paretic side. The system then delivers targeted surface electrical stimulation to contract the appropriate facial muscles. The evaluation of the system was conducted with 17 patients with facial synkinesis, who performed various facial movements according to a paradigm video. The system's performance was evaluated through a simulation, using previously captured data as the inputs. The performance was evaluated by means of the median macro F1-score, which was calculated based on the stimulation signal (output of the system) and the actual movements the patients performed. This study showed that such a system, using an AI-based auricular-triggered algorithm, can support with a median macro F1-score of 0.602 for the facial movements on the synkinetic side in patients with unilateral chronic facial palsy with synkinesis.

The interactive effects of drawing task, prompt format, and visual aids on video-based learning: Attention and drawing accuracy as mediators

This study investigated the effects of open- and closed-book learning conditions either accompanied by visual aids or without on learners’ attention, drawing accuracy, and learning performance. Participants were 127 undergraduate learners randomly assigned to view either an open- or closed-book prompt, who then watched either a video lecture accompanied by visual aids or one without (i.e. visuals provided vs. no visuals). The results showed that for learners who were provided with visual aids, compared to the open-book condition, those in the closed-book condition demonstrated higher eye blink rate as well as improved immediate and delayed test scores. However, this advantage was not observed in the condition with no visual materials. Mediation analysis showed that increased immediate test scores in the visuals provided condition was due partly to improved drawing accuracy. Multiple mediation analyses showed that the open-book with visuals provided condition led to lower eye blink rate, increased fixation count, and improved drawing accuracy, which collectively resulted in decreased immediate test performance. These findings have implications for educators and instructional designers regarding how to tailor effective learning strategies; specifically, educators could consider using closed-book learning conditions with visual aids to enhance learners’ attention and improve their learning performance.

The effect of sunglass filters on contrast sensitivity, monocular eye closure, and blinking rate in people with intermittent exotropia

ABSTRACT Clinical relevance Transient monocular eye closure and photosensitivity under bright light have been reported in people with intermittent exotropia (IXT). The exact mechanism of these symptoms has not been established. Background This study examines the effect of sunglass filters on contrast sensitivity (CS), transient monocular eye closure, and blinking rate under bright light in people with IXT. Methods Forty participants with IXT and complaints of photosensitivity were included in the study. The binocular CS test was performed under mesopic and photopic conditions with and without glare, and with and without two filters with different grades of light transmission (filter 1: 44–80%; filter 2: 20–43% light transmittance). The effect of two filters on transient eye closure, contrast sensitivity, and blinking rate was assessed under bright light. Also, participants were divided into 3 groups based on their degree of control of fusion (good, fair, and poor control). Results The mean age of the participants was 12.0 years ± 8.0 (standard deviation) (range: 7–40 years). There was no significant difference between the age (p = 0.139), stereopsis (p = 0.134), as well as the near and far degree of deviation (p = 0.516, and p = 0.237) between the three groups of fusion control. Under mesopic conditions with glare, mean binocular CS was significantly higher with filters (p < 0.001). Without filters, 57.5% of the participants exhibited monocular eye closure under a photopic setting with additional glare. No participant showed eye closure using filter 2. People in the poor control group showed exodeviation before monocular eye closure (62.5% without filter and 12.5% with filter 1, p = 0.01). The blinking rate decreased from 36.0 ± 4.0 blinks per minute without filter to 21.0 ± 3.0 using filter 1, and 20.0 ± 3.0 with filter 2. Conclusion In people with IXT, wearing sunglass filters of different transmittance reduces monocular eye closure and blinking rate under bright light. To improve these symptoms, sunglasses can be considered for IXT.

Novelty Seeking Differences in Temporal Dynamics for Novelty and Appropriateness Processing of Creative Information: An ERP Investigation

ABSTRACTNovelty seeking has been found to affect creative performance, but its impact on the temporal dynamics of creative information processing remains unclear. Creative information is identified by two key indicators—novelty and appropriateness. To explore the effect of novelty seeking on the temporal processing of novelty and appropriateness, a revised alternative uses task (AUT) was conducted with 29 high novelty‐seeking (HNS) and 31 low novelty‐seeking (LNS) individuals. Event‐related potentials (ERPs) and spontaneous blink rate (EBR) were used to measure temporal dynamics and infer physiological mechanisms. (1) For novelty processing, HNS individuals performed quicker information processing (shorter N1/P2 latency) and had a greater capacity to recognize semantic distance (higher P600 peak amplitude). (2) For appropriate processing, HNS individuals also had a faster information processing rate (shorter N1/P2 latency). (3) HNS individuals had higher baseline EBR and showed enhancements in cognitive speed based on real‐time EBR. In contrast, the LNS group did not show the same improvement even with increased attention allocation. These findings expand the application of the Novelty Seeking Model (NGM) in creative information processing. Additionally, the results of EBR suggest that dopamine might be the critical physiological mechanism through which novelty‐seeking influences creative information processing.

Long-Term Evaluation of Patients with Neurotrophic Keratopathy Undergoing Staged Keratoplasty After Corneal Neurotization

Purpose Corneal neurotization (CN) is a novel, potentially curative surgical procedure for the treatment of neurothophic keratopathy (NK). Patients with severe NK can present with corneal opacification requiring optical keratoplasty, which would likely fail without a proper trophic support of corneal nerves in the recipient cornea. Methods This is a pilot study on 4 patients undergoing keratoplasty after CN. Pre- and postoperative data at 12, 24 months and at the last follow-up were collected for the examination of (i) best corrected visual acuity (BCVA), (ii) slit lamp examination and photograph acquisition with and without fluorescein staining, (iii) corneal aesthesiometry, (iv) in vivo confocal microscopy of the central cornea. Neurophysiological study of the corneal reflex before corneal graft and at last follow up was performed. Results Four female patients (47.25 ± 5.06 y.o.) underwent keratoplasty after CN (3 penetrating keratoplasty, 1 deep anterior lamellar keratoplasty). The mean interval between CN and keratoplasty was 22 (± 12) months. The mean graft survival time was 42 (± 25) months. Graft follow-up ranged from 72 to 132 months. At the final follow-up, BCVA was improved in 2 out of 4 patients. The mean corneal sensitivity was 11.9 ± 8.3 mm at last follow-up. In vivo confocal microscopy confirmed the presence of functioning nerves at the last follow-up in all patients. NK-related complications occurred in 3 eyes (2 persistent epithelial defect, 1 corneal melting). The former complication was successfully treated by autologous serum eye drops while the latter required repeated keratoplasty. Conclusions Keratoplasty is a viable strategy to improve visual acuity in patients with corneal opacity who underwent CN for the treatment of NK. Even in the presence of functioning corneal nerves before keratoplasty, surgeons should be aware of the increased rate of NK-related complications that could require the need for repeated procedure.