Yi-Hsuan Chang’s research while affiliated with Taipei Medical University and other places

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Publications (11)


Pupil and Eye Blink Response Abnormalities During Emotional Conflict Processing in Late-Life Depression
  • Article

April 2025

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10 Reads

Journal of Geriatric Psychiatry and Neurology

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Yi-Hsuan Chang

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Cesar Barquero

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[...]

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Introduction This study aims to investigate the locus coeruleus-norepinephrine system (LC-NE) function in late-life depression (LLD) patients by examining task-evoked pupil dilation in the emotional face-word Stroop task, given the recently established coupling between task-evoked pupil dilation and LC-NE activation. Materials and Methods Using video-based eye-tracking and principal component analysis, we explored task-evoked pupil responses and eye blinks in LLD patients (N = 25) and older healthy controls (CTRL) (N = 29) to determine whether there were alterations in pupil responses and eye blinks in LLD compared to CTRL. Results LLD patients exhibited significantly different pupil and eye-blink behavior compared to CTRL, with dampened task-evoked pupil dilation associated with emotional congruency and valence processing mediated by the sympathetic system compared to CTRL. Eye-blink rates associated with emotional valence were also altered in LLD compared to CTRL Moreover, Geriatric Depression Scale-15 scores in LLD correlated with emotional congruency effects revealed by task-evoked pupil dilation. Conclusion The findings demonstrate that LLD patients display altered pupil behavior compared to CTRL. These altered responses correlated with the severity of depressive symptoms, indicating their potential as objective biomarkers for use in large at-risk populations for LLD.



Microsaccade dynamics between LLD and CTRL. (A) Dynamics of microsaccade rates following background luminance changes between LLD and CTRL, and mean rates (− 700 to 1700 ms) for each group. (B) Microsaccade main sequence, intercept, and slope between LLD and CTRL. (C) Dynamics of microsaccade peak velocity following background luminance changes between LLD and CTRL, and mean peak velocities (− 700 to 1700 ms) for each group. (D) Dynamics of microsaccade amplitude following background luminance changes between LLD and CTRL, and mean amplitudes (− 700 to 1700 ms) for each group. (E) Microsaccade direction density between LLD and CTRL. In (A), (C) and (D), the shaded colored regions surrounding microsaccadic dynamics curves represent the ± standard error range (across participants) for different groups. In (A–D), the color-filled squares and error-bars represent mean value ± standard error (across participants) for each group, and the small circles represent mean value for each subject. Circle color dots represent each subject data point. In (E), the colored-bars represent ± standard error (across participants) for each angle condition. CTRL: healthy age-matched older adults, LLD: late-life depression patients, Bkgd: background. *Indicates differences are statistically significant.
Microsaccadic inhibition and rebound after background luminance decreases between LLD and CTRL. (A) Dynamics of microsaccade rates following background luminance changes in different conditions in CTRL. (B) Dynamics of microsaccade rates following background luminance changes in different conditions in LLD. (C) Mean microsaccade rates in the inhibition epoch (60–330 ms) in the NoChange (no background luminance change) and Change (background luminance changes: Dark and Black) condition between LLD and CTRL. (D) Mean microsaccade rates in the rebound epoch (350 to 550 ms) in the NoChange and Change condition between LLD and CTRL. (E) Normalized microsaccade rate (Change minus NoChange condition) between LLD and CTRL. (F) Mean normalized microsaccade rates in the inhibition epoch in different conditions between LLD and CTRL. (G) Mean normalized microsaccade rates in the rebound epoch in different conditions between LLD and CTRL. In (A), (B) and (E), the shaded colored regions surrounding microsaccade dynamics curves represent the ± standard error range (across participants) for different groups. The gray area represents the epoch selected for analyses. In (C), (D), (F) and (G), the color-filled squares and error-bars represent mean value ± standard error (across participants) for each group, and the small circles represent mean value for each subject. Circle color dots represent each subject data point. CTRL: healthy age-matched older adults. LLD: late-life depression patients. Dark: 50% decrease in contrast relative to the gray background. Black: 100% decrease in contrast relative to the gray background. Bkgd: background. *Indicates differences are statistically significant.
Microsaccadic inhibition and rebound after background luminance increases between LLD and CTRL. (A) Dynamics of microsaccade rates following background luminance changes in different conditions in CTRL. (B) Dynamics of microsaccade rates following background luminance changes in different conditions in LLD. (C) Mean microsaccade rates in the inhibition epoch (60–330 ms) in the NoChange (no background luminance change) and Change (background luminance changes: Light and White) condition between LLD and CTRL. (D) Mean microsaccade rates in the rebound epoch (350–550 ms) in the NoChange and Change condition between LLD and CTRL. (E) Normalized microsaccade rate (Change minus NoChange condition) between LLD and CTRL. (F) Mean normalized microsaccade rates in the inhibition epoch in different conditions between LLD and CTRL. (G) Mean normalized microsaccade rates in the rebound epoch in different conditions between LLD and CTRL. In (A), (B) and (E), the shaded colored regions surrounding microsaccadic dynamics curves represent the ± standard error range (across participants) for different groups. The gray area represents the epoch selected for analyses. In (C), (D), (F) and (G), the color-filled squares and error-bars represent mean value ± standard error (across participants) for each group, and the small circles represent mean value for each subject. Circle color dots represent each subject data point. CTRL: healthy age-matched older adults, LLD: late-life depression patients. Light: 50% increase in contrast relative to the gray background. White: 100% increase in contrast relative to the gray background. Bkgd: background. *Indicates differences are statistically significant.
Microsaccadic inhibition and rebound in different polarity conditions between LLD and CTRL. (A) Normalized dynamics of microsaccade rates following background luminance decreases and increases between LLD and CTRL. (B) Mean normalized microsaccade rates in the inhibition epoch in different polarity conditions between LLD and CTRL. (C) Mean normalized microsaccade rates in the rebound epoch in different polarity conditions between LLD and CTRL. In A, the shaded colored regions surrounding microsaccadic dynamics curves represent the ± standard error range (across participants) for different groups. The gray area represents the epoch selected for analyses. In (B) and (C), the color-filled squares and error-bars represent mean value ± standard error (across participants) for each group, and the small circles represent mean value for each subject. Circle color dots represent each subject data point. CTRL: healthy age-matched older adults, LLD: late-life depression patients, Neg: background luminance decrease conditions, Pos: background luminance increase conditions, Bkgd: background.
Disrupted microsaccade responses in late-life depression
  • Article
  • Full-text available

January 2025

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31 Reads

Late-life depression (LLD) is a psychiatric disorder in older adults, characterized by high prevalence and significant mortality rates. Thus, it is imperative to develop objective and cost-effective methods for detecting LLD. Individuals with depression often exhibit disrupted levels of arousal, and microsaccades, as a type of fixational eye movement that can be measured non-invasively, are known to be modulated by arousal. This makes microsaccades a promising candidate as biomarkers for LLD. In this study, we used a high-resolution, video-based eye-tracker to examine microsaccade behavior in a visual fixation task between LLD patients and age-matched healthy controls (CTRL). Our goal was to determine whether microsaccade responses are disrupted in LLD compared to CTRL. LLD patients exhibited significantly higher microsaccade peak velocities and larger amplitudes compared to CTRL. Although microsaccade rates were lower in LLD than in CTRL, these differences were not statistically significant. Additionally, while both groups displayed microsaccadic inhibition and rebound in response to changes in background luminance, this modulation was significantly blunted in LLD patients, suggesting dysfunction in the neural circuits responsible for microsaccade generation. Together, these findings, for the first time, demonstrate significant alterations in microsaccade behavior in LLD patients compared to CTRL, highlighting the potential of these disrupted responses as behavioral biomarkers for identifying individuals at risk for LLD.

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Pupil size correlates with heart rate, skin conductance, pulse wave amplitude, and respiration responses during emotional conflict and valence processing

November 2024

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39 Reads

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3 Citations

Psychophysiology

Pupil size is a non‐invasive index for autonomic arousal mediated by the locus coeruleus–norepinephrine (LC‐NE) system. While pupil size and its derivative (velocity) are increasingly used as indicators of arousal, limited research has investigated the relationships between pupil size and other well‐known autonomic responses. Here, we simultaneously recorded pupillometry, heart rate, skin conductance, pulse wave amplitude, and respiration signals during an emotional face–word Stroop task, in which task‐evoked (phasic) pupil dilation correlates with LC‐NE responsivity. We hypothesized that emotional conflict and valence would affect pupil and other autonomic responses, and trial‐by‐trial correlations between pupil and other autonomic responses would be observed during both tonic and phasic epochs. Larger pupil dilations, higher pupil size derivative, and lower heart rates were observed in the incongruent condition compared to the congruent condition. Additionally, following incongruent trials, the congruency effect was reduced, and arousal levels indexed by previous‐trial pupil dilation were correlated with subsequent reaction times. Furthermore, linear mixed models revealed that larger pupil dilations correlated with higher heart rates, higher skin conductance responses, higher respiration amplitudes, and lower pulse wave amplitudes on a trial‐by‐trial basis. Similar effects were seen between positive and negative valence conditions. Moreover, tonic pupil size before stimulus presentation significantly correlated with all other tonic autonomic responses, whereas tonic pupil size derivative correlated with heart rates and skin conductance responses. These results demonstrate a trial‐by‐trial relationship between pupil dynamics and other autonomic responses, highlighting pupil size as an effective real‐time index for autonomic arousal during emotional conflict and valence processing.


Experimental paradigm. Each trial began with the appearance of a central FP within a large white circle (151 cd/m²) on one of three possible background luminance levels (Bright: 137 cd/m²; Mid: 36 cd/m²; Dark: 0.1 cd/m²). After a delay, the central FP was removed for 100 ms (gap) before the optotype target stimulus appeared. Participants were required to report the orientation of the optotype using the four arrow keys (Up, Down, Left, Right) on a keyboard. Note that the optotype shown here is for illustration purposes only.
Effect of background luminance on absolute pupil size. Absolute pupil diameter following optotype (target) appearance for each background luminance level (A). Mean absolute pupil diameter (−50 to 50 ms after optotype onset) for each background luminance level and contrast condition (B). In A, the shaded colored regions surrounding the pupillary response curves represent the ± standard error range (across participants). The target epoch is shaded in gray. In B, the large squares and error bars represent the mean values ± standard error across participants. The small dots represent the mean value for each participant. Bright: high background luminance, Mid: middle background luminance, Dark: low background luminance. High: high target visual contrast, Low: low target visual contrast. * indicates statistically significant.
Effect of background luminance and target contrast on task accuracy and reaction time. Discrimination accuracy (A) and reaction time (B) shown for different target contrast conditions and background luminance levels. The large squares and error bars represent the mean values ± standard error across participants. The small dots represent the mean value for each participant. Bright: high background luminance, Mid: middle background luminance, Dark: low background luminance, Low: low target visual contrast. * indicates statistically significant.
Effect of background luminance and target contrast on visually evoked potentials. Amplitude dynamics for high-contrast (A) and low-contrast (B) conditions shown for different background luminance levels. Mean amplitude in C1 (C), P1 (E), and N1 (G) components shown for different target contrast conditions and background luminance levels. Topographies of mean C1 (D), P1 (F), and N1 (H) amplitude shown for different target contrast conditions and background luminance levels. In (A) and (B), the gray area represents the epoch selected for analyses. In (C,E,G) the large squares and error bars represent the mean values ± standard error across participants. The small dots represent the mean value for each participant. Bright: high background luminance, Mid: middle background luminance, Dark: low background luminance. High: high target visual contrast, Low: low target visual contrast. * indicates statistically significant.
Investigating causal effects of pupil size on visual discrimination and visually evoked potentials in an optotype discrimination task

October 2024

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55 Reads

Pupil size primarily changes to regulate the amount of light entering the retina, optimizing the balance between visual acuity and sensitivity for effective visual processing. However, research directly examining the relationship between pupil size and visual processing has been limited. While a few studies have recorded pupil size and EEG signals to investigate the role of pupil size in visual processing, these studies have predominantly focused on the domain of visual sensitivity. Causal effects of pupil size on visual acuity, therefore, remain poorly understood. By manipulating peripheral background luminance levels and target stimulus contrast while simultaneously recording pupillometry and EEG signals, we examined how absolute pupil size affects visual discrimination and visually evoked potentials (VEP) in a task using optotype mimicking the Snellen eye chart, the most common assessment of visual acuity. Our findings indicate that both higher background luminance levels and higher target contrast were associated with improved target discrimination and faster correct reaction times. Moreover, while higher contrast visual stimuli evoked larger VEPs, the effects of pupil size on VEPs were not significant. Additionally, we did not observe inter-individual correlations between absolute pupil size and discrimination performance or VEP amplitude. Together, our results demonstrate that absolute pupil size, regulated by global luminance level, played a functional role in enhancing visual discrimination performance in an optotype discrimination task. The differential VEP effects of pupil size compared to those of stimulus contrast further suggested distinct neural mechanisms involved in facilitating visual acuity under small pupils.


Pupillary response during social emotion tasks in autism spectrum disorder

August 2024

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24 Reads

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2 Citations

Autism Research

Autistic individuals encounter challenges in recognizing emotional expressions of others. Pupillary response has been proposed as an indicator of arousal dysregulation or cognitive load. The pupillary response of autistic individuals during socio‐affective tasks remains unclear. This study investigated pupillary response in autistic adults when viewing emotional faces/eyes and recognizing emotions during the Reading the Mind in the Eyes Test (RMET) and watching interpersonal touch scenes in the social touch task. The study included 98 participants diagnosed with autism spectrum disorder and 37 typically developing controls (TD). Pupil size was measured using the Tobii X2‐30 Eye Tracker. The results showed that autistic adults had larger maximal pupil sizes, smaller minimal pupil sizes, and greater change rates of pupil size, particularly during the RMET Eyes task. Clinical correlations revealed that attention switching difficulty positively correlated with mean pupil size in TD participants, while social communication deficits positively correlated with mean pupil size in autistic participants. In conclusion, our findings suggest atypical pupillary responses in autistic adults during socio‐affective tasks, indicating heightened cognitive demand. Further investigation is necessary to understand the underlying mechanisms and their association with autistic traits.


Altered pupil light and darkness reflex and eye-blink responses in late-life depression

June 2024

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32 Reads

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3 Citations

BMC Geriatrics

Background Late-life depression (LLD) is a prevalent neuropsychiatric disorder in the older population. While LLD exhibits high mortality rates, depressive symptoms in older adults are often masked by physical health conditions. In younger adults, depression is associated with deficits in pupil light reflex and eye blink rate, suggesting the potential use of these responses as biomarkers for LLD. Methods We conducted a study using video-based eye-tracking to investigate pupil and blink responses in LLD patients (n = 25), older (OLD) healthy controls (n = 29), and younger (YOUNG) healthy controls (n = 25). The aim was to determine whether there were alterations in pupil and blink responses in LLD compared to both OLD and YOUNG groups. Results LLD patients displayed significantly higher blink rates and dampened pupil constriction responses compared to OLD and YOUNG controls. While tonic pupil size in YOUNG differed from that of OLD, LLD patients did not exhibit a significant difference compared to OLD and YOUNG controls. GDS-15 scores in older adults correlated with light and darkness reflex response variability and blink rates. PHQ-15 scores showed a correlation with blink rates, while MoCA scores correlated with tonic pupil sizes. Conclusions The findings demonstrate that LLD patients display altered pupil and blink behavior compared to OLD and YOUNG controls. These altered responses correlated differently with the severity of depressive, somatic, and cognitive symptoms, indicating their potential as objective biomarkers for LLD.


Linking tonic and phasic pupil responses to P300 amplitude in an emotional face‐word Stroop task

November 2023

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285 Reads

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9 Citations

Psychophysiology

The locus coeruleus‐norepinephrine (LC‐NE) system, which regulates arousal levels, is important for cognitive control, including emotional conflict resolution. Additionally, the LC‐NE system is implicated in P300 generation. If the P300 is mediated by the LC‐NE system, and considering the established correlations between LC activity and pupil dilation, P300 amplitude should correlate with task‐evoked (phasic) pupil dilation on a trial‐by‐trial basis. However, prior studies, predominantly utilizing oddball‐type paradigms, have not demonstrated correlations between concurrently recorded task‐evoked pupil dilation and P300 responses. Using a recently developed emotional face‐word Stroop task that links pupil dilation to the LC‐NE system, here, we examined both intra‐ and inter‐individual correlations between task‐evoked pupil dilation and P300 amplitude. We found that lower accuracy, slower reaction times, and larger task‐evoked pupil dilation were obtained in the incongruent compared to the congruent condition. Furthermore, we observed intra‐individual correlations between task‐evoked pupil dilation and P300 amplitude, with larger pupil dilation correlating with a greater P300 amplitude. In contrast, pupil dilation did not exhibit consistent correlations with N450 and N170 amplitudes. Baseline (tonic) pupil size also showed correlations with P300 and N170 amplitudes, with smaller pupil size corresponding to larger amplitude. Moreover, inter‐individual differences in task‐evoked pupil dilation between the congruent and incongruent conditions correlated with differences in reaction time and P300 amplitude, though these effects only approached significance. To summarize, our study provides evidence for a connection between task‐evoked pupil dilation and P300 amplitude at the single‐trial level, suggesting the involvement of the LC‐NE system in P300 generation.


Fig. 1. (A) Experimental paradigm. Each trial started with a central fixation point on a black background. After a delay, there was presentation of a target stimulus, and after a random delay the central fixation point disappeared and participants were required to move their eyes to the target. During the delay period, a bright circular patch stimulus was presented briefly (50 ms), with the patch being spatially aligned with the target location or the opposite location of the target in the consistent and inconsistent condition, respectively. The memory-delay task was similar to the visual-delay task except the target stimulus was only presented briefly (100 ms). Note that the figure only shows left-target conditions for illustration of the paradigm. (B) Measurements of pupillary metrics. PROL: pupil response onset latency. Peak Velocity: peak pupil constriction velocity. Amplitude: peak pupil constriction size. Slope: pupil main sequence slope, peak velocity / amplitude. PeakTime: time to peak constriction.
Fig. 3. Model predicted best fit lines for the interaction effect between trial and stimulation in the visual-delay task. (A) Interaction effects between trial sequence and stimulation on baseline pupil size. (B) Interaction effects between trial sequence squared and stimulation on amplitude. (C) Interaction effects between trial sequence and stimulation on peak time. The shaded colored regions surrounding the predicted lines represent the ± 95% confidence interval for different conditions. Baseline: baseline pupil size. Amplitude: peak pupil constriction size.
Time-on-task effects on human pupillary and saccadic metrics after theta burst transcranial magnetic stimulation over the frontal eye field

November 2023

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34 Reads

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1 Citation

IBRO Neuroscience Reports

Pupil size undergoes constant changes primarily influenced by ambient luminance. These changes are referred to as the pupillary light reflex (PLR), where the pupil transiently constricts in response to light. PLR kinematics provides valuable insights into autonomic nervous system function and have significant clinical applications. Recent research indicates that attention plays a role in modulating the PLR, and the circuit involving the frontal eye field (FEF) and superior colliculus is causally involved in controlling this pupillary modulation. However, there is limited research exploring the role of the human FEF in these pupillary responses, and its impact on PLR metrics remains unexplored. Additionally, although the protocol of continuous theta-burst stimulation (cTBS) is well-established, the period of disruption after cTBS is yet to be examined in pupillary responses. Our study aimed to investigate the effects of FEF cTBS on pupillary and saccadic metrics in relation to time spent performing a task (referred to as time-on-task). We presented a bright stimulus to induce the PLR in visual- and memory-delay saccade tasks following cTBS over the right FEF or vertex. FEF cTBS, compared to vertex cTBS, resulted in decreased baseline pupil size, peak constriction velocities, and amplitude. Furthermore, the time-on-task effects on baseline pupil size, peak amplitude, and peak time differed between the two stimulation conditions. In contrast, the time-on-task effects on saccadic metrics were less pronounced between the two conditions. In summary, our study provides the first evidence that FEF cTBS affects human PLR metrics and that these effects are modulated by time-on-task.


Figure 4
Investigating causal effects of pupil size on visual discrimination and visually evoked potentials in a Snellen eye chart task

October 2023

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25 Reads

Pupil size primarily changes to regulate the amount of light entering the retina, optimizing the balance between visual acuity and sensitivity for effective visual processing. However, research directly examining the relationship between pupil size and visual processing has been limited. While a few studies have recorded pupil size and EEG signals to investigate the role of pupil size in visual processing, these studies have predominantly focused on the domain of visual sensitivity. Causal effects of pupil size on visual acuity, therefore, remain poorly understood. By manipulating peripheral background luminance levels and target stimulus contrast while simultaneously recording pupillometry and EEG signals, we examined how absolute pupil size impacts visual discrimination and visually evoked potentials (VEP) in a task mimicking the Snellen eye chart, the most common assessment of visual acuity. Our findings indicate that both higher background luminance levels and higher target contrast were associated with improved target discrimination and faster correct reaction times. Moreover, while higher contrast visual stimuli evoked larger VEPs, the effects of pupil size on VEPs were not significant. Additionally, we did not observe inter-individual correlations between absolute pupil size and discrimination performance or VEP amplitude. Together, our results demonstrate that absolute pupil size, regulated by global luminance level, played a functional role in enhancing visual discrimination performance in a Snellen eye chart task. The differential VEP effects of pupil size compared to those of stimulus contrast further suggested distinct neural mechanisms involved in facilitating visual acuity under small pupils.


Citations (5)


... SCL increases with stress or arousal, while NP.SCR increases with acute stress or emotional arousal but may decrease or remain stable during relaxation or low arousal [56,73]. Pupil diameter is a physiological marker of arousal, reflecting autonomic nervous system activation and emotional engagement [18]. ...

Reference:

Effects of Information Widgets on Time Perception during Mentally Demanding Tasks
Pupil size correlates with heart rate, skin conductance, pulse wave amplitude, and respiration responses during emotional conflict and valence processing
  • Citing Article
  • November 2024

Psychophysiology

... Adults with high autistic traits rate visually presented gentle stroking touch as less pleasant than those with low autistic traits [47]. Autistic adults (AUT) exert more cognitive effort, as indicated by larger pupil dilation, when observing social touch compared to non-autistic adults (NON-AUT) [65]. These behavioral and physiological differences are also reflected in the brain. ...

Pupillary response during social emotion tasks in autism spectrum disorder
  • Citing Article
  • August 2024

Autism Research

... Data collected from previously published research were used to analyze microsaccade behavior in the current study, where the method regarding task, procedure as well as pupillary results are described in detail 52 . Briefly, experimental procedures were approved by the Institutional Review Board of the Taipei Medical University, Taiwan, in accordance with the Declaration of Helsinki 53 . ...

Altered pupil light and darkness reflex and eye-blink responses in late-life depression

BMC Geriatrics

... The above criteria resulted in the removal of 6.95% of trials. Pupil metrics were analyzed [9,16,[68][69][70][71], and similar to our previous research [72,73], four pupil indices were reported (Fig. 1B). We first calculated pupil response onset latencies (PROL) that were defined as the time point at which pupil acceleration reached its maximal and pupil velocity was negative (i.e. ...

Time-on-task effects on human pupillary and saccadic metrics after theta burst transcranial magnetic stimulation over the frontal eye field

IBRO Neuroscience Reports

... Consistent with prior observations that pupillary responses correlate with high gamma activity in the salience network 42 , and beta and alpha [43][44][45] activity over extracranial temporoparietal regions, group-level correlational analyses (Fig. 2h) showed a significant positive relationship between pupil responses and high gamma responses (r = 0.57; p-adj = 0.046), and a significant negative relationship between pupil responses and low beta (r=-0.79; p-adj = 0.0002) and alpha (r=-0.56;p-adj ...

Linking tonic and phasic pupil responses to P300 amplitude in an emotional face‐word Stroop task

Psychophysiology