Anticipated moments: temporal structure in attention

Predicting time, shaping control: Unveiling age-related effects of temporal predictability on the dynamics of cognitive control in 5- to 14-year-old children

Understanding how individuals learn to synchronize actions with the temporal structure of their environment is crucial for understanding goal-directed behavior. This study investigated the effects of temporal predictability on cognitive control and action regulation in children aged 5 to 14 years. In our temporally cued version of the Simon task, children were explicitly informed that visual cues would either predict (temporal cues) or not predict (neutral cues) the onset of a target. They used this information to respond to lateralized targets when the target position was either compatible or incompatible with the response hand. Temporal cues speeded reaction times (RTs) to compatible targets in the older (11- to 14-year-old) children and induced a greater number of fast impulsive errors to incompatible targets across all age groups. This pattern replicates previous results in adults and demonstrates that knowing when an event is likely to occur induces a fast, although impulsive, response style. Surprisingly, in the youngest age group (5- and 6-year-olds), temporal cues speeded RTs to incompatible, as well as compatible, targets and helped children to inhibit fast impulsive errors to incompatible targets more efficiently. In summary, the youngest children appeared to effectively leverage the information conveyed by temporal cues to mitigate impulsive response tendencies. However, the benefits of temporal cues on impulse control started to diminish from 7 years of age, when children begin to show more mature inhibitory patterns. Nevertheless, by 11 years of age children achieve performance comparable to that of adults, with faster responses to compatible targets and impulsive responses to incompatible targets.

The illusion of orientation repulsion is weakened in a temporally more predictable visual target

Anticipating the occurrence of future events enables our adaptive behavior by facilitating processing at various stages from perception to action. While the functional benefits of temporal expectation are well acknowledged, its phenomenological effects remain unknown. Focusing on the phenomenon of orientation repulsion, wherein a vertical target is perceived as tilted against surrounding stimuli, we examined how the size of the illusion varies with developing temporal expectation. In Experiment 1, a multimodal cue predicted impending target onset through its validity and rhythmicity. We found that repulsion decreased when the target appeared at or later than the moment predicted by the cue. In Experiment 2, rhythmic cues did not significantly influence repulsion without explicit instruction or subjective awareness of the cue-target contingency. In Experiment 3, a single cue was provided, and the target appeared after one of three foreperiods. The occurrence probability of the target was equalized across foreperiods to isolate the effect of the conditional probability given that the target had not yet occurred (hazard rate). Repulsion decreased as the hazard rate increased with the foreperiod. Heightened temporal expectations inevitably produce a phenomenological change in orientation repulsion by reducing perceptual latency, whereby a premature target representation that has not completely undergone contextual modulation is brought upon one's perception.

How might interoceptive accuracy training work?

With growing interest in interoceptive training to enhance the perception of internal bodily signals, there is a need to consider the mechanisms by which training may improve performance on tests of interoceptive accuracy (i.e., tests designed to measure how well signals from the body can be perceived). In this brief paper we use the example of cardiac interoceptive accuracy training to outline several possible mechanisms by which such training may result in improvement on tests of cardiac interoceptive accuracy. We show that under many of these mechanisms, evidence of improvement on tasks that claim to measure cardiac interoceptive accuracy does not reflect improvement in the perception of cardiac signals. We provide several recommendations to mitigate the potential influence of factors unrelated to interoceptive accuracy, enabling it to be determined that an improvement in interoceptive accuracy has occurred following training.

Portable EEG for assessing attention in educational settings: A scoping review

BACKGROUND

Portable EEG provides the opportunity to capture neural correlates of attention in a more naturalistic environment. However, the field is still in its infancy, with varied research aims and methodologies. The current scoping review aims to clarify: (1) the research aims of the studies, (2) the portable EEG collection methodologies, and (3) the EEG measures of attention.

METHOD

The review followed the Preferred Reporting Items for Systematic Review and Meta-Analysis - Scoping Review extension. Two authors extracted data items from 45 eligible studies.

RESULTS

Three research aims were identified in previous studies: examining the effects of learning-related factors on attention captured by portable EEG (n = 23), developing attention classification algorithms (n = 7) and software for monitoring and promoting attention (n = 10), and verifying the signal quality of EEG derived from portable EEG in attentional tasks (n = 5). The testing sites and tasks were predominantly out-of-lab controlled settings and structured learning materials. To quantify attention, 8 studies employed a theory-driven approach, e.g., using EEG measures based on prior research correlating specific spectral power with attention. In contrast, 37 studies used data-driven approaches, e.g., using spectral power as input features for machine learning models to index attention.

DISCUSSION

Portable EEG has been a promising approach to measuring attention in educational settings. Meanwhile, there are challenges and opportunities related to the better translation of cognitive neuroscience research into practice.

The effect of stimulus type and tempo on sensorimotor synchronization during finger-tapping in cerebellar ataxia: Behavioral and neural evidence

Sensorimotor synchronization, coordination of movements with external rhythms, occurs daily. Finger-tapping tasks are often used to study biological mechanisms underlying sensorimotor synchronization. This study investigates how deviations in auditory stimulus tempo from spontaneous motor tempo affect sensorimotor synchronization in patients with cerebellar ataxia during active listening and finger-tapping. Specifically, the cerebellum's role in these tasks is investigated by quantifying behavioral and neural dynamics of auditory-motor coupling. Sixteen patients with cerebellar ataxia and 14 healthy controls listened and tapped to music and metronomes at seven tempi (-12%, -8%, -4%, 0%, +4%, +8%, +12% of spontaneous tapping tempo) in randomized order. Sixty-four channel EEG, stimulus beat- and finger-tapping onsets were recorded during each trial. Behavioral synchronization was quantified by synchronization precision and accuracy, whereas neural entrainment was quantified with the stability index. Cerebellar patients displayed higher, more variable spontaneous tapping tempi than controls. Although precision was lower in patients than controls, they achieved high precision values. Differences in synchronizing between metronomes and music were observed for both precision and accuracy, favoring metronomes in both groups. Accuracy was impacted, with lowest asynchrony observed in patients with music, and across groups at the slowest tempi (-12%) and highest tempi (4, 8 and 10%). EEG results revealed greater stability for music during tapping. Although patients with cerebellar ataxia showed synchronization deficits, they could sufficiently synchronize with isochronous metronomes and music containing higher complexity, likely through sensory accumulation as a compensation strategy. These findings support the use of sensorimotor synchronization strategies in rehabilitation for cerebellar disorders.

Costs and benefits of temporal expectations on somatosensory perception and decision-making

Our perception is shaped by prior expectations, including those about the timing of our sensations. These temporal expectations can be formed by recognizing patterns in the onset of sensory inputs. However, in the somatosensory domain, it remains unclear how these expectations impact the speed and accuracy of somatosensory judgments, as previous research has yielded mixed results. Here, participants used auditory tones to anticipate the onset of forces applied to their fingers and discriminated their intensity compared to a reference force. Experiment 1 showed that participants had worse discrimination sensitivity and higher thresholds for expected versus unexpected forces. Experiment 2 replicated and extended these costs to include perceptual accuracy, even when comparing expected to expectation-free forces, and further revealed reaction time benefits. Drift-diffusion modelling suggested that expectations speeded non-decisional processes while simultaneously slowing somatosensory evidence accumulation. These findings demonstrate both costs and benefits of temporal expectations in somatosensory perception and decision-making.

Saccade-induced temporal distortion: opposing effects of time expansion and compression

Saccadic eye movements, or saccades, can distort our perception of time, as evidenced by the phenomenon of Chronostasis, where the first event after a saccade appears to last longer than it actually does. However, the impact of saccades on events following the first has never been explored. Here, we compared how participants perceived durations of first and second intervals after a saccade with their perceived durations during fixation, where no saccades occurred. We found that saccades lengthened the perceived duration of the first event, confirming Chronostasis. Moreover, when the second event occurred right after the first, its duration was perceived as shorter. Interestingly, when the second event was used as a reference, the Chronostasis effect was even stronger. Notably, this shortening of the second event persisted even when we ruled out processes like the "attentional blink" that might interfere with the timing between the two events. Our findings suggest that saccades induce a brief, uneven distribution of attentional processing in time, leading to an overestimation of the first and an underestimation of the second interval when the two intervals occur close together.

Dynamic modulation of spatial selection: Online and anticipatory adjustments in the flanker task

To track the spatiotemporal dynamics of selective attention, we constructed four theory-driven variants of Eriksen's flanker task. In each, subjects made speeded binary categorizations of target arrowhead direction while ignoring surrounding flanker arrowheads, whose direction was either congruent or incongruent to the target. Experiment 1 tracked the temporal evolution of target selection by systematically manipulating onset asynchrony between the target and flankers. In Experiments 2A and 2B, we increased flanker strength (both experiments) and reduced target strength (Experiment 2B only) at various times relative to target onset, exploring the effects of dynamic perceptual inputs on flanker congruency effects. Experiment 3 measured how uncertainty about stimulus location impeded spatial selection. Our findings demonstrate that spatial selection in the flanker task is dynamically modulated by both intra- and supra-trial factors.

Eyes on the past: Gaze stability differs between temporal expectation and temporal attention

Does the timing of a preceding visual event affect when people deploy attention in the future? Temporal expectation and temporal attention are two distinct processes that interact at the behavioral and neural levels, improving performance and gaze stability. The preceding foreperiod-the interval between the preparatory signal and stimulus onset in the previous trial-modulates expectation at the behavioral and oculomotor levels. Here, we investigated whether the preceding foreperiod also modulates the effects of temporal attention and whether such effects interact with expectation. We found that, regardless of whether the stimulus occurred earlier than, later than, or at the expected moment in the preceding foreperiod, temporal attention improved performance and accelerated gaze stability onset and offset consistently by shifting microsaccade timing. However, overall, only with expected preceding foreperiods, attention inhibited microsaccade rates. Moreover, late preceding foreperiods weakened the expectation effects on microsaccade rates, but this weakening was overridden by attention. Altogether, these findings reveal that the oculomotor system's flexibility does not translate to performance, and suggest that, although selection history can be used as one of the sources of expectation in subsequent trials, it does not necessarily determine, strengthen, or guide attentional deployment.

From reactions to reflection: A recursive framework for the evolution of cognition and complexity

This paper presents a comprehensive framework that traces the evolution of consciousness through a continuum of recursive processes spanning reaction, temporogenesis, symbiogenesis, and cognogenesis. By integrating biological cooperation, temporal structuring, and self-referential processing, our model provides a novel perspective on how complexity emerges and scales across evolutionary time. Reaction is established as the foundational mechanism that enables adaptive responses to environmental stimuli, which, through recursive refinement, transitions into temporogenesis-the synchronization of internal processes with external temporal rhythms. Symbiogenesis further enhances this process by fostering cooperative interactions at multiple biological levels, facilitating the emergence of higher-order cognitive functions. Cognogenesis represents the culmination of these recursive processes, where self-awareness and intentionality arise through iterative feedback loops. Our framework offers a biologically grounded pathway to addressing the "hard problem" of consciousness by proposing that subjective experience emerges as a result of progressively complex recursive interactions rather than as a static or isolated phenomenon. In comparing our approach with established theories such as Integrated Information Theory, Global Workspace Theory, and enactive cognition, we highlight its unique contributions in situating consciousness within a broader evolutionary and biological context. This work aims to provide a foundational model that bridges the gap between reaction and reflection, offering empirical avenues for further exploration in neuroscience, evolutionary biology, and artificial intelligence.

Choice anticipation as gated accumulation of sensory predictions

Predictions are combined with sensory information when making choices. Accumulator models have conceptualized predictions as trial-by-trial updates to a baseline evidence level. These models have been successful in explaining the influence of choice history across-trials, however, they do not account for how sensory information is transformed into choice evidence. Here, we derive a gated accumulator that models the onset of evidence accumulation as a combination of delayed sensory information and a prediction of sensory timing. To test how delays interact with predictions, we designed a free-choice saccade task where participants directed eye movements to either of two targets that appeared with variable delays and asynchronies. Despite instructions not to anticipate, participants responded before target onset on some trials. We reasoned that anticipatory responses reflected a trade-off between inhibiting and facilitating the onset of evidence accumulation via a gating mechanism as target appearance became more likely. We then found that anticipatory responses were more likely following repeated choices, suggesting that the balance between anticipatory and sensory responses was driven by a prediction of sensory timing. By fitting the gated accumulator model to the data, we found that variance in within-trial fluctuations in baseline evidence best explained the joint increase of anticipatory responses and faster sensory-guided responses with longer delays. Thus, we conclude that a prediction of sensory timing is involved in balancing the costs of anticipation with lowering the amount of accumulated evidence required to trigger saccadic choice.NEW & NOTEWORTHY Evidence accumulation models are used to study how recent history impacts the processes underlying how we make choices. Biophysical evidence suggests that the accumulation of evidence is gated, however, classic accumulator models do not account for this. In this work, we show that predictions of the timing of sensory information are important in controlling how evidence accumulation is gated and that signatures of these predictions can be detected even in randomized task environments.

Temporal context modulates the recovery of the attentional blink

Humans usually adjust their attentional mode to tackle the challenges posed by environmental inputs. Depending on the uncertainty level, different attentional strategies may be adopted. As people face increasingly complicated daily situations-e.g., driving a car or chatting online-where intervals between significant events do not necessarily follow certain rules but are likely random, it appears important to understand how temporal contexts with different uncertainty levels affect temporal attention allocation when processing rapid serial inputs. We pursued this issue by employing a task examining the temporal limit of attention-the attentional blink (AB). The manipulation of temporal context was achieved by presenting trials with different inter-target intervals following either a "random-walk" or a "random" sequence. The results suggest a facilitated recovery from the AB deficit in the "random" compared to "random-walk" context, without a corresponding change in AB magnitude. Such effect is likely attributed to the higher perceived uncertainty in the former, and could be attenuated by a decrease in the temporal uncertainty level. These observations suggest that observers likely adopted a more flexible temporal attention allocation in the more unpredictable "random" context; they also support non-overlapping mechanisms responsible for AB width/duration and amplitude or lag-1 sparing. The flexibility of temporal attentional control may provide an evolutionary advantage for organisms to deal with unpredictable changes and is likely to be exploited for reference in the design of human-machine interacting platforms.

Neural entrainment to the beat and working memory predict sensorimotor synchronization skills

Neural entrainment to rhythmic patterns has been proposed as a mechanism that underlies beat perception and could explain individual differences in sensorimotor synchronization abilities. Nevertheless, the neural and cognitive mechanisms behind beat perception remain an active research area. Our study examined whether neural entrainment to rhythmic patterns, cognitive resources, specifically working memory and musical background predict sensorimotor synchronization skills in adults. Using electroencephalogram (EEG), we recorded steady-state evoked potentials (SS-EPs) while participants passively listened to short tone sequences featuring syncopated (tones missing from certain beats) and unsyncopated (tones present on every beat) rhythms. Participants also completed a finger-tapping task, measuring tapping consistency and asynchrony, and a counting span task to assess working memory. Results showed increased steady-state evoked potentials (SS-EPs) at beat-related frequencies (1.25 Hz and its harmonics, 2.10/2.50 Hz, 5 Hz), indicating faithful neural tracking of the rhythms. Contrary to expectations, stronger neural entrainment to unsyncopated rhythms was associated with greater tapping variability and lower synchronization accuracy. In contrast, working memory capacity positively predicted tapping consistency, suggesting that automatic beat-based predictions as reflected in neural entrainment may reduce the flexibility needed for rhythm production. Musical background was not a significant predictor of tapping performance, while working memory was suggesting that working memory capacity support rhythm production skills by maintaining internal representations of time intervals. Our results challenged the assumption that stronger neural entrainment universally enhances synchronization skills and highlighted the multidimensionality of rhythm processing, and the complex relationship between neural entrainment, cognitive resources, and sensorimotor synchronization skills.

The impact of emotion on temporal prediction ability in different timing contexts

Our ability to predict temporal events (TP) is dynamically modulated by contextual factors (i.e., different predictive contexts) and closely intertwined with emotional states, shaping our adaptive responses within the environment. While studies have extensively probed how emotions distort time perception, their impact on predictive ability remains unexplored. Here, we investigated emotions' impact on temporal prediction. Participants (N = 23) completed a standard implicit TP task and its emotional version (TP-E), using positive (i.e., joy), negative (i.e., fear), and neutral faces as visual stimuli. Reaction times (RTs) to the target were recorded in two predictive contexts: rhythmic (i.e., interstimulus intervals (ISIs) were constant, 900 ms) and single-interval condition (i.e., target's timing estimation was based on the prior exposure of the train of stimuli) and random (no-time context). We found a specific decrease in RTs, in the single-interval context, when fearful stimuli were used, compared to neutral stimuli. This suggests that negative emotion influences temporal prediction, aligning with emotional adjustments in processing threatening situations, including modulation of physiological arousal, cognitive appraisal, and time estimation. Indeed, such modulation of RTs, specifically in the single-interval condition, may be attributed to improved memory and attention, essential cognitive abilities for single-based predictions, enhanced by the exposure to fearful stimuli.

Registered Report: Replication and Extension of

Cognitive neuroscience research has attempted to disentangle stimulus-driven processing from conscious perceptual processing for decades. Some prior evidence for neural processing of perceived musical beat (periodic pulse) may be confounded by stimulus-driven neural activity. However, one study used frequency tagging, which measures electrical brain activity at frequencies present in a stimulus, to show increased brain activity at imagery-related frequencies when listeners imagined a metrical pattern while listening to an isochronous auditory stimulus (Nozaradan et al., 2011) in a manner that controlled for stimulus factors. It is unclear though whether this represents repeatable evidence for conscious perception of beat and whether the effect is influenced by relevant music experience, such as music and dance training. This registered report details the results of 13 independent conceptual replications of Nozaradan et al. (2011), all using the same vetted protocol. Listeners performed the same imagery tasks as in Nozaradan et al. (2011), with the addition of a behavioral task on each trial to measure conscious perception. Meta-analyses examined the effect of imagery condition, revealing smaller raw effect sizes (Binary: 0.03 μV, Ternary: 0.03 μV) than in the original study (Binary: 0.12 μV, Ternary: 0.20 μV) with no moderating effects of music or dance training. The difference in estimated effects sizes (this study: n = 152, η p 2 =.03 - .04; 2011 study: n = 8, η p 2 =.62 - .76) suggests that large sample sizes may be required to reliably observe these effects, which challenges the use of frequency tagging as a method to study (neural correlates of) beat perception. Furthermore, a binary logistic regression on individual trials revealed that only neural activity at the stimulus frequency predicted performance on the imagery-related task; contrary to our hypothesis, the neural activity at the imagery-related frequency was not a significant predictor. We discuss possible explanations for discrepancies between these findings and the original study and implications of the extensions provided by this registered report.

Hippocampal sequences represent working memory and implicit timing

Working memory (WM) and timing are considered distinct cognitive functions, yet the neural signatures underlying both can be similar. To address the hypothesis that WM and timing may be multiplexed we developed a novel rodent task where 1st odor identity predicts the delay duration. We found that WM performance decreased when delay expectations were violated. Performance was worse for unexpected long delays than for unexpected short delays, suggesting that WM may be tuned to expire in a delay-dependent manner. Calcium imaging of dorsal CA1 neurons revealed odor-specific sequential activity tiling the short and long delays. Neural sequence structure also reflected expectation of the timing of the 2nd odor-i.e., of the expected delay. Consistent with the hypothesis that WM and timing may be multiplexed, our findings suggest that neural sequences in dorsal CA1 may encode cues and cue-specific elapsed time during the delay period of a WM task.

Neural signatures of temporal anticipation in human cortex represent event probability density

Temporal prediction is a fundamental function of neural systems. Recent results show that humans anticipate future events by calculating probability density functions, rather than hazard rates. However, direct neural evidence for this hypothesized mechanism is lacking. We recorded neural activity using magnetoencephalography as participants anticipated auditory and visual events distributed in time. We show that temporal anticipation, measured as reaction times, approximates the event probability density function, but not hazard rate. Temporal anticipation manifests as spatiotemporally patterned activity in three anatomically and functionally distinct parieto-temporal and sensorimotor cortical areas. Each of these areas revealed a marked neural signature of anticipation: Prior to sensory cues, activity in a specific frequency range of neural oscillations, spanning alpha and beta ranges, encodes the event probability density function. These neural signals predicted reaction times to imminent sensory cues. These results demonstrate that supra-modal representations of probability density across cortex underlie the anticipation of future events.

Extremely low frequency magnetic field distracts zebrafish from a visual cognitive task

Electromagnetic fields emitted from overhead power lines and subsea cables are widely regarded to be a disruptive factor for animals using the natural magnetic field as orientation cue for guiding their directed movements. However, it is not known if anthropogenic electromagnetic fields also have the potential to disturb animals attending to information from other sensory modalities. To find out, we trained adult zebrafish (Danio rerio) individually to perform avoidance behavior in response to a visual signal (green LED light spot), which in the exposure group was presented simultaneously with a sinusoidally changing magnetic field (0.3 Hz, group A: 0.015 mT, group B: 0.06 mT). Despite the salience of the visual signal, which was both sufficient and necessary to elicit conditioned avoidance responses, the 0.06 mT magnetic condition had a negative impact on learning performance and response behavior. This suggests that extremely low frequency technical magnetic fields of Earth strength amplitude can act as cross-modal distractor that diverts the attention of animals away from environmentally relevant cues based on nonmagnetic sensory modalities. Our research highlights the need to study the role of anthropogenic magnetic fields as sensory pollutant beyond the scope of magnetic orientation behavior.

Global to local influences on temporal expectation in marmosets and humans

Marmosets are emerging rapidly as experimental models for studying the neural bases of cognition and, importantly, for modeling disorders of human cognition, but many aspects of their mental attributes remain to be characterized. When judging elapsed time, humans implicitly use prior information to predict upcoming events and reduce perceptual and decision-making uncertainty. An influential model of temporal expectation is the hazard rate model, which posits the likelihood of an event occurring in the future, provided it has not occurred already. Here, we report that marmosets trained on a reaction time task acquire the hazard rate model of expectation, consistent with the global task structure. The model emerges progressively with learning but unexpectedly continues to be modified by local contingencies, as demonstrated by a serial effect of trial duration on responses. The combined effects of global and local task structure are well described by a multiple regression model and computationally by Bayesian updating of the hazard function. Parallel experiments in human subjects similarly demonstrate global followed by local influences on reaction times and temporal expectation. Thus, in both marmosets and humans, task history and local structure continuously update task-specific responses, surprisingly at the expense of optimal responses after the competent acquisition of an internal model.

Enhancing visual perception: The independent and additive effects of temporal and feature-based attention

Researchers often study selective attention in the temporal domain in isolation, but in real-life situations, it typically works together with other types of attention. The interplay between temporal attention (focusing on when) and feature-based attention (focusing on what) is one important aspect of attention that remains poorly understood. To investigate this, we asked subjects to report the orientation of one of the two stimuli sequentially presented at the same position. We used a cue consisting of two arrows to manipulate both temporal and feature-based attention: arrow size conveyed timing information, while direction conveyed orientation information of the upcoming target. This design effectively elicited temporal and feature-based attention to comparable extents, allowing us to examine their isolated and combined effects on perceptual sensitivity systematically. We observed that perceptual sensitivity was significantly influenced by the accuracy of the cue in predicting either target features or timing. When both aspects of the cue were accurate, perceptual sensitivity was maximized. Conversely, when both predictions were incorrect, perceptual sensitivity was minimized. When only one aspect of the cue was accurate, perceptual sensitivity showed an intermediate level. Crucially, our findings demonstrate that temporal and feature-based attention independently and additively affect perceptual sensitivity, suggesting that these attentional mechanisms operate autonomously and in concert to shape visual perception.

Rhythm-based Temporal Expectations: Unique Contributions of Predictability and Periodicity

Anticipating events and focusing attention accordingly are crucial for navigating our dynamic environment. Rhythmic patterns of sensory input offer valuable cues for temporal expectations and facilitate perceptual processing. Rhythm-based temporal expectations may rely on oscillatory entrainment, where neural activity and perceptual sensitivity synchronize with periodic stimuli. However, whether entrainment models can account for aperiodic predictable rhythms remains unclear. Our study aimed to delineate the distinct roles of predictability and periodicity in rhythm-based expectations. Participants performed a pitch-identification task preceded by periodic predictable, aperiodic predictable, or aperiodic unpredictable temporal sequences. By manipulating the temporal position of the target sound, we observed how auditory perceptual performance was modulated by the target position's relative phase relationship to the preceding sequences. Results revealed a significant performance advantage for predictable sequences, both periodic and aperiodic, compared with unpredictable ones. However, only the periodic sequence induced an entrained modulation pattern, with performance peaking in synchrony with the inherent sequence continuation. Event-related brain potentials corroborated these findings. The target-evoked P3b, possibly a neural marker of attention allocation, mirrored the behavioral performance patterns. This supports our hypothesis that temporal attention guided by rhythm-based expectations modulates perceptual performance. Furthermore, the predictive sequences were associated with enhanced target-preceding negativity (akin to the contingent negative variation), indicating enhanced target preparation. The periodic-specific modulation likely reflects more precise temporal expectations, potentially involving neural entrainment and/or more focused attention. Our findings suggest that predictability and periodicity influence perception through distinct mechanisms.

The effect of auditory rhythm on the temporal allocation of visual attention in aging

Introduction

Isochronous rhythm has been shown to induce temporal expectation, allocated attention to specific points in time to optimize behavioral performance, both within a single modality and across different modalities, in younger adults. However, it remains unclear how an isochronous rhythm in one modality influences the temporal allocation of attention in another modality among older adults. Moreover, whether the cross-modal temporal expectation effect in aging is influenced by tempo has not yet been explored.

Methods

To address these issues, both younger and older participants performed a rhythmic temporal expectation task in which auditory isochronous rhythms, presented at either 600 ms (faster) or 1,400 ms (slower) tempo, were used to trigger temporal expectation for a visual target.

Results

The results demonstrated a cross-modal temporal expectation effect, with participants exhibiting significantly faster responses when the visual target appeared in synchrony with the preceding auditory rhythm compared to out-of-synchrony trials. This effect was evident in both younger and older groups and was not influenced by tempo.

Discussion

These findings suggest that the ability to utilize auditory isochronous rhythms to drive the temporal allocation of visual attention can be preserved in normal aging, highlighting the robustness of cross-modal temporal expectations across both younger and older adults.

Temporal attention modulates distraction resistance of visual working memory representations

The regulation of Visual Working Memory (VWM) distraction resistance by internal attention remains debated with four hypotheses: the null hypothesis (attentional priorities don't affect distraction resistance), protection hypothesis (higher priority, greater distraction resistance), vulnerability hypothesis (higher priority, lower distraction resistance), and available resource threshold hypothesis (distraction resistance depends on attentional resource allocation exceed required thresholds). A recent study found that temporal attention can influence VWM priorities, yet this hasn't been explored from the perspective of temporal attention. This study used a continuous reporting task to examine these issues. Experiment 1 established stable attentional priority using an auditory cue, while Experiment 2 removed this cue to introduce dynamic priority changes. To explore neural mechanisms, Experiment 3 employed EEG to measure contingent negative variation (CNV) and decode priority representations during the delay period. Behavioral results confirmed that visual distractors increased memory deviation during maintenance, but deviations were smaller for anticipated high-priority items, suggesting better memory accuracy. High-priority items showed greater resistance to distraction at long intervals. Without the auditory cue, high-priority items resisted distraction better at short intervals. EEG results revealed enhanced CNV before long interval targets and better decoding of priority with distractors during long intervals. In summary, distraction affects different priority items equally when resources exceed requirements. High-priority items resist interference when adequately resourced but suffer if resources are insufficient, supporting the available resource threshold hypothesis. This study highlights the temporal dynamics of distraction resistance in VWM representations.

Statistical learning of spatiotemporal target regularities in the absence of saliency

In previous studies, it was established that individuals can implicitly learn spatiotemporal regularities related to how the distribution of target locations unfolds across the time course of a single trial. However, these regularities were tied to the appearance of salient targets that are known to capture attention in a bottom-up way. The current study investigated whether the saliency of target is necessary for this type of learning to occur. In a visual search task, participants were instructed to search for a unique circle with a gap (Landolt C) among two other circles and indicate the location of the gap. Unbeknownst to them, the onset timing of search displays predicted the target location. Specifically, the target appeared more frequently at one peripheral location with an early onset of the search display and at the opposite peripheral location with a late onset of the search display. Additionally, we manipulated the gap size of the Landolt C to create either nonsalient (small gap) or salient (big gap) target events. Results showed that, regardless of prior exposure to salient targets (Experiment 1) or nonsalient targets (Experiment 2), visual search efficiency increased when the target appeared at the temporally valid location compared with the temporally invalid location. In conclusion, the saliency of targets and the associated bottom-up capture is not a prerequisite for learning dynamic distributional regularities of target locations during visual search.

Pre-stimulus activities affect subsequent visual processing: Empirical evidence and potential neural mechanisms

PURPOSE

Humans obtain most of their information from visual stimuli. The perception of these stimuli may be modulated by the ongoing pre-stimulus brain activities. Depending on the task design, the processing of different cognitive functions such as spatial attention, feature-based attention, temporal attention, arousal, and mental imagery may start prior to the stimulus onset.

METHOD

This process is typically accompanied by changes in pre-stimulus oscillatory activities including power, phase, or connectivity in different frequency bands. To explain the effect of these changes, several mechanisms have been proposed. In this article, we review these changes and the potential mechanisms in the context of the pre-stimulus enabled cognitive functions. We provide evidence both in favor of and against the most documented mechanisms and conclude that no single mechanism can solely delineate the effects of pre-stimulus brain activities on later processing. Instead, multiple mechanisms may work in tandem to guide pre-stimulus brain activities.

FINDING

Additionally, our findings indicate that in many studies a combination of these cognitive functions begins prior to stimulus onset.

CONCLUSION

Thus, dissociating these cognitive functions is challenging based on the current literature, and the need for precise task designs in later studies to differentiate between them is crucial.

Beta oscillations predict the envelope sharpness in a rhythmic beat sequence

Periodic sensory inputs entrain oscillatory brain activity, reflecting a neural mechanism that might be fundamental to temporal prediction and perception. Most environmental rhythms and patterns in human behavior, such as walking, dancing, and speech do not, however, display strict isochrony but are instead quasi-periodic. Research has shown that neural tracking of speech is driven by modulations of the amplitude envelope, especially via sharp acoustic edges, which serve as prominent temporal landmarks. In the same vein, research on rhythm processing in music supports the notion that perceptual timing precision varies systematically with the sharpness of acoustic onset edges, conceptualized in the beat bin hypothesis. Increased envelope sharpness induces increased precision in localizing a sound in time. Despite this tight relationship between envelope shape and temporal processing, it is currently unknown how the brain uses predictive information about envelope features to optimize temporal perception. With the current EEG study, we show that the predicted sharpness of the amplitude envelope is encoded by pre-target neural activity in the beta band (15-25 Hz), and has an impact on the temporal perception of target sounds. We used probabilistic sound cues in a timing judgment task to inform participants about the sharpness of the amplitude envelope of an upcoming target sound embedded in a beat sequence. The predictive information about the envelope shape modulated task performance and pre-target beta power. Interestingly, these conditional beta-power modulations correlated positively with behavioral performance in the timing judgment task and with perceptual temporal precision in a click-alignment task. This study provides new insight into the neural processes underlying prediction of the sharpness of the amplitude envelope during beat perception, which modulate the temporal perception of sounds. This finding could reflect a process that is involved in temporal prediction, exerting top-down control on neural entrainment via the prediction of acoustic edges in the auditory stream.

Human response times are governed by dual anticipatory processes with distinct neural signatures

Human behavior is strongly influenced by anticipation, but the underlying neural mechanisms are poorly understood. We obtained intracranial electrocephalography (iEEG) measurements in neurosurgical patients as they performed a simple sensory-motor task with variable (short or long) foreperiod delays that affected anticipation of the cue to respond. Participants showed two forms of anticipatory response biases, distinguished by more premature false alarms (FAs) or faster response times (RTs) on long-delay trials. These biases had distinct neural signatures in prestimulus neural activity modulations that were distributed and intermixed across the brain: the FA bias was most evident in preparatory motor activity immediately prior to response-cue presentation, whereas the RT bias was most evident in visuospatial activity at the beginning of the foreperiod. These results suggest that human anticipatory behavior emerges from a combination of motor-preparatory and attention-like modulations of neural activity, implemented by anatomically widespread and intermixed, but functionally identifiable, brain networks.

Prior knowledge changes initial sensory processing in the human spinal cord

Prior knowledge changes how the brain processes sensory input. Whether knowledge influences initial sensory processing upstream of the brain, in the spinal cord, is unknown. Studying electric potentials recorded invasively and noninvasively from the human spinal cord at millisecond resolution, we find that the cord generates electric potentials at 600 hertz that are modulated by prior knowledge about the time of sensory input, as early as 13 to 16 milliseconds after stimulation. Our results reveal that already in the spinal cord, sensory processing is under top-down, cognitive control, and that 600-hertz signals, which have been identified as a macroscopic marker of population spiking in other regions of the nervous system, play a role in early, context-dependent sensory processing. The possibility to examine these signals noninvasively in humans opens up avenues for research into the physiology of the spinal cord and its interaction with the brain.

High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain-Computer Interface

Active brain-computer interface (BCI) provides a natural way for direct communications between the brain and devices. However, its detectable intention is very limited, let alone of detecting dual intentions from a single electroencephalography (EEG) feature. This study aims to develop time-based active BCI, and further investigate the feasibility of detecting time-movement dual intentions using a single EEG feature. A time-movement synchronization experiment was designed, which contained the intentions of both time (500 ms vs. 1000 ms) and movement (left vs. right). Behavioural and EEG data of 22 healthy participants were recorded and analyzed in both the before (BT) and after (AT) timing prediction training sessions. Consequently, compared to the BT sessions, AT sessions led to substantially smaller absolute deviation time behaviourally, along with larger high-frequency event-related desynchronization (ERD) in frontal-motor areas, and significantly improved decoding accuracy of time. Moreover, AT sessions achieved enhanced motor-related contralateral dominance of event-related potentials (ERP) and ERDs than the BT, which illustrated a synergistic relationship between the two intentions. The feature of 20-60 Hz power can simultaneously reflect the time and movement intentions, achieving a 73.27% averaged four-classification accuracy (500 ms-left vs. 500 ms-right vs. 1000 ms-left vs.1000 ms-right), with the highest up to 93.81%. The results initiatively verified the dual role of high-frequency (20-60 Hz) power in representing both the time and movement intentions. It not only broadens the detectable intentions of active BCI, but also enables it to read user's mind concurrently from two information dimensions.

Stable sequential dynamics in prefrontal cortex represents subjective estimation of time

Time estimation is an essential prerequisite underlying various cognitive functions. Previous studies identified 'sequential firing' and 'activity ramps' as the primary neuron activity patterns in the medial frontal cortex (mPFC) that could convey information regarding time. However, the relationship between these patterns and the timing behavior has not been fully understood. In this study, we utilized in vivo calcium imaging of mPFC in rats performing a timing task. We observed cells that showed selective activation at trial start, end, or during the timing interval. By aligning long-term time-lapse datasets, we discovered that sequential patterns of time coding were stable over weeks, while cells coding for trial start or end showed constant dynamism. Furthermore, with a novel behavior design that allowed the animal to determine individual trial interval, we were able to demonstrate that real-time adjustment in the sequence procession speed closely tracked the trial-to-trial interval variations. And errors in the rats' timing behavior can be primarily attributed to the premature ending of the time sequence. Together, our data suggest that sequential activity maybe a stable neural substrate that represents time under physiological conditions. Furthermore, our results imply the existence of a unique cell type in the mPFC that participates in the time-related sequences. Future characterization of this cell type could provide important insights in the neural mechanism of timing and related cognitive functions.

Gaze Behavior Reveals Expectations of Potential Scene Changes

Even if the scene before our eyes remains static for some time, we might explore it differently compared with how we examine static images, which are commonly used in studies on visual attention. Here we show experimentally that the top-down expectation of changes in natural scenes causes clearly distinguishable gaze behavior for visually identical scenes. We present free-viewing eye-tracking data of 20 healthy adults on a new video dataset of natural scenes, each mapped for its potential for change (PfC) in independent ratings. Observers looking at frozen videos looked significantly more often at the parts of the scene with a high PfC compared with static images, with substantially higher interobserver coherence. This viewing difference peaked right before a potential movement onset. Established concepts like object animacy or salience alone could not explain this finding. Images thus conceal experience-based expectations that affect gaze behavior in the potentially dynamic real world.

Temporal attention amplifies stimulus information in fronto-cingulate cortex at an intermediate processing stage

The human brain faces significant constraints in its ability to process every item in a sequence of stimuli. Voluntary temporal attention can selectively prioritize a task-relevant item over its temporal competitors to alleviate these constraints. However, it remains unclear when and where in the brain selective temporal attention modulates the visual representation of a prioritized item. Here, we manipulated temporal attention to successive stimuli in a two-target temporal cueing task, while controlling for temporal expectation with fully predictable stimulus timing. We used magnetoencephalography and time-resolved decoding to track the spatiotemporal evolution of stimulus representations in human observers. We found that temporal attention enhanced the representation of the first target around 250 ms after target onset, in a contiguous region spanning left frontal cortex and cingulate cortex. The results indicate that voluntary temporal attention recruits cortical regions beyond the ventral stream at an intermediate processing stage to amplify the representation of a target stimulus. This routing of stimulus information to anterior brain regions may provide protection from interference in visual cortex by a subsequent stimulus. Thus, voluntary temporal attention may have distinctive neural mechanisms to support specific demands of the sequential processing of stimuli.

Resting-state functional connectome predicts sleep quality two months after the first negative COVID-19 antigen test

BACKGROUND

The COVID-19 pandemic has led to long-term neurological and psychological effects, including sleep disturbances. While prior studies have identified altered brain function post-COVID-19, specific functional connectivity (FC) patterns predicting sleep quality after recovery remain unclear. This study aims to identify FC patterns associated with sleep quality two months after the first negative COVID-19 antigen test.

METHODS

Using a connectome-based predictive modeling (CPM) approach, we identified the functional connectome regulating sleep quality based on a 164-region parcellation. Significant connections were analyzed using mediation models to examine their role in the relationship between anxiety, depression, and sleep.

RESULTS

FC between the right cerebellar peduncle and the left VIII of the cerebellum, and between the left middle temporal pole (MTP) and left ventral tegmental area (VTA), significantly predicted Pittsburgh Sleep Quality Index (PSQI) scores for sleep disturbances two months post-recovery (q2 = 0.059, MSE = 0.154, p = 0.017, r = 0.350). Mediation analysis showed a significant indirect effect of FC between the left MTP and VTA on the relationship between generalized anxiety and sleep disturbances (indirect effect = 0.013, 95% CI = [0.002, 0.03], pfdr <0.05). FC between the right dorsal raphe nucleus and ipsilateral regions-including occipital, parietal, and temporal areas-predicted PSQI scores for daytime dysfunction (q2 = 0.092, MSE = 0.678, p = 0.025, r = 0.342).

CONCLUSION

Post-COVID-19 brain connectivity and anxiety predict sleep quality. These findings highlight the potential for targeted therapeutic strategies to improve sleep and identify patients at risk for prolonged disturbances through FC biomarkers.

Theta Rhythm-Based Attention Switch Training Effectively Modified Negative Attentional Bias

BACKGROUND

Attentional bias modification training (ABMT) is commonly employed to regulate negative attentional bias (NAB) and, in turn, to prevent or alleviate depressive symptoms. Recent advancements in attention switch theory have facilitated the development of a novel training paradigm that may enhance the efficacy of such interventions.

METHODS

A total of fifty-seven college students were assigned to two groups: one exhibiting NAB and the other without. Both groups underwent training with a novel paradigm integrating theta rhythm with the traditional dot-probe task (DPT). The DPT was also administered as a pre- and post-test measure.

RESULTS

For individuals with NAB, rhythmic DPT effectively alleviates their NAB. Additionally, within the training procedure's DPT, flashing negative stimuli elicits faster responses when the probe appears at the positive stimulus' location. Baseline attention scores can negatively predict changes in subsequent corresponding attentional performance.

CONCLUSIONS

This study presents a novel training paradigm-the theta rhythm-based DPT-that effectively modifies NAB. The mechanism underlying this intervention may be driven by positive salient stimuli at the critical trough, facilitating the switch of attention from negative to positive stimuli.

Distinguishing expectation and attention effects in processing temporal patterns of visual input

The current study investigated how the brain sets up expectations from stimulus regularities by evaluating the neural responses to expectations driven implicitly (by the stimuli themselves) and explicitly (by task demands). How the brain uses prior information to create expectations and what role attention plays in forming or holding predictions to efficiently respond to incoming sensory information is still debated. We presented temporal patterns of visual input while recording EEG under two different task conditions. When the patterns were task-relevant and pattern recognition was required to perform the button press task, three different event-related brain potentials (ERPs) were elicited, each reflecting a different aspect of pattern expectation. In contrast, when the patterns were task-irrelevant, none of the neural indicators of pattern recognition or pattern violation detection were observed to the same temporally structured sequences. Thus, results revealed a clear distinction between expectation and attention that was prompted by task requirements. These results provide complementary pieces of evidence that implicit exposure to a stimulus pattern may not be sufficient to drive neural effects of expectations that lead to predictive error responses. Task-driven attentional control can dissociate from stimulus-driven expectations, to effectively minimize distracting information and maximize attentional regulation.

The effect of temporal predictability on sensory gating: Cortical responses inform perception

Prepulse inhibition of perceived stimulus intensity (PPIPSI) is a phenomenon where a weak stimulus preceding a stronger one reduces the perceived intensity of the latter. Previous studies have shown that PPIPSI relies on attention and is sensitive to stimulus onset asynchrony (SOA). Longer SOAs may increase conscious awareness of the impact of gating mechanisms on perception by allowing more time for attention to be directed toward relevant processing channels. In other psychophysiological paradigms, temporal predictability improves attention to task relevant stimuli and processes. We hypothesized that temporal predictability may similarly facilitate attention being directed toward the pulse and its processing in PPIPSI. To examine this, we conducted a 2 (SOA: 90 ms, 150 ms) × 2 (predictability: low, high) experiment, where participants were tasked with comparing the perceived intensity of an acoustic pulse-alone against one preceded by a prepulse. The relationship between PPIPSI and cortical PPI (N1-P2 inhibition) was also investigated. Significant main effects of temporal predictability, SOA, and cortical PPI were revealed. Under high temporal predictability, both SOAs (90 and 150 ms) elicited greater PPIPSI. The findings indicate that temporal predictability enhances the timely allocation of finite attentional resources, increasing PPIPSI observations by facilitating perceptual access to the gated pulse signal. Moreover, the finding that reductions in N1-P2 magnitude by a prepulse are associated with increased probability of the participants perceiving the pulse "with prepulse" as less intense, suggests that under various experimental conditions, the link between these cortical processes and perception is similarly engaged.

Temporal attention amplifies stimulus information in fronto-cingulate cortex at an intermediate processing stage

The human brain faces significant constraints in its ability to process every item in a sequence of stimuli. Voluntary temporal attention can selectively prioritize a task-relevant item over its temporal competitors to alleviate these constraints. However, it remains unclear when and where in the brain selective temporal attention modulates the visual representation of a prioritized item. Here, we manipulated temporal attention to successive stimuli in a two-target temporal cueing task, while controlling for temporal expectation with fully predictable stimulus timing. We used MEG and time-resolved decoding to track the spatiotemporal evolution of stimulus representations in human observers. We found that temporal attention enhanced the representation of the first target around 250 milliseconds after target onset, in a contiguous region spanning left frontal cortex and cingulate cortex. The results indicate that voluntary temporal attention recruits cortical regions beyond the ventral stream at an intermediate processing stage to amplify the representation of a target stimulus. This routing of stimulus information to anterior brain regions may provide protection from interference in visual cortex by a subsequent stimulus. Thus, voluntary temporal attention may have distinctive neural mechanisms to support specific demands of the sequential processing of stimuli.

Significance statement

When viewing a rapid sequence of visual input, the brain cannot fully process every item. Humans can attend to an item they know will be important to enhance its processing. However, how the brain selects one moment over others is little understood. We found that attending to visual information at a precise moment in time enhances visual representations around 250 ms after an item appears. Unexpectedly, this enhancement occurred not in the visual cortex, but in the left fronto-cingulate cortex. The involvement of frontal rather than posterior cortical regions in representing visual stimuli has not typically been observed for spatial or feature-based attention, suggesting that temporal attention may have specialized neural mechanisms to handle the distinctive demands of sequential processing.

Different effects of smooth pursuit eye movements on motion-based stimulus response congruency

In the motion-based stimulus-response compatibility (SRC) effect, responses are faster when the task-irrelevant stimulus motion is congruent with the response movement performance. In the present study, we tested whether smooth pursuit eye movements, related to tracking a moving object, influence motion-based SRC when present on their own or when combined with position-based SRC. We examined the motion-based SRC effect during both the response selection and response execution stages. When investigating motion-based SRC alone, participants responded with left or right movements of the single hand to the left or right movements of a centrally presented stimulus, either with their eyes fixated at the center or tracking the moving object. In the case of combined motion-based and position-based SRC, participants responded with left or right movements of the left or right hand to stimulus motion presented on the left or right side of the screen, again with eyes either fixated at the center or following the moving target. Results showed that during the response selection stage, smooth pursuit type eye movements had no effect on the motion-based SRC when the stimulus moved in the center, whereas the effect was enhanced when the stimulus presentation was lateralized. This aligns with the idea that attentional shifts differ between central and peripheral vision and that cognitive system computes various spatial maps for stimulus and response. In the case of response execution, smooth pursuit type eye movements had no effect on the motion-based SRC effect, regardless of stimulus location.

Unconscious temporal attention induced by invisible temporal association cues

Temporal attention is the ability to prioritize information based on timing. While conscious perception of temporally structured information is known to generate temporal attention, whether it occurs unconsciously remains uncertain. This study used a temporal cueing paradigm with masking techniques to explore the differences between conscious and unconscious temporal attention mechanisms. Experiment 1 found that both visible and invisible cues triggered temporal attention, with stronger effects for visible cues. Experiment 2, using electroencephalogram (EEG) recordings, showed that both visible and invisible cues evoked contingent negative variation (CNV) component, albeit smaller with invisible cues. The P300 component further supported this pattern. Hierarchical drift-diffusion modeling (HDDM) analysis demonstrated that both conscious and unconscious temporal attention effects involve non-perceptual decision-making processes. These findings both align and challenge the Global Workspace Theory, suggesting that while consciousness enhances conscious attention via global broadcasting, unconscious attention may rely on more localized neural networks.

Influence of rhythmic contexts on perception: No behavioral and eye-tracker evidence for rhythmic entrainment

Entrainment theories propose that attention inherently oscillates between moments of attentional enhancement and disengagement. Consequently, perceptual and response benefits have been reported in tasks with a rhythmic structure. In the present study, we report two preregistered auditory experiments attempting to replicate previous supporting behavioral evidence of entrainment theories. In addition, we incorporated eye-tracker measures. Both Experiment 1 (duration discrimination task) and Experiment 2 (pitch discrimination task) showed no phase-specific benefit of rhythmic sequences compared to arrhythmic ones. Importantly, a tonic larger pupil size for arrhythmic conditions was observed irrespective of target phase, suggesting higher processing demands or arousal state imposed by a sustained uncertain context. Overall, the present results call into question whether the perceptual benefits predicted by entrainment theories are generalizable across all experimental designs and paradigms. On the contrary, our findings join a large group of studies that have failed to replicate the foundational results of attentional entrainment.

Scene context and attention independently facilitate MEG decoding of object category

Many of the objects we encounter in our everyday environments would be hard to recognize without any expectations about these objects. For example, a distant silhouette may be perceived as a car because we expect objects of that size, positioned on a road, to be cars. Reflecting the influence of such expectations on visual processing, neuroimaging studies have shown that when objects are poorly visible, expectations derived from scene context facilitate the representations of these objects in visual cortex from around 300 ms after scene onset. The current magnetoencephalography (MEG) study tested whether this facilitation occurs independently of attention and task relevance. Participants viewed degraded objects alone or within scene context while they either attended the scenes (attended condition) or the fixation cross (unattended condition), also temporally directing attention away from the scenes. Results showed that at 300 ms after stimulus onset, multivariate classifiers trained to distinguish clearly visible animate vs inanimate objects generalized to distinguish degraded objects in scenes better than degraded objects alone, despite the added clutter of the scene background. Attention also modulated object representations at this latency, with better category decoding in the attended than the unattended condition. The modulatory effects of context and attention were independent of each other. Finally, data from the current study and a previous study were combined (N = 51) to provide a more detailed temporal characterization of contextual facilitation. These results extend previous work by showing that facilitatory scene-object interactions are independent of the specific task performed on the visual input.

Anticipatory and evoked visual cortical dynamics of voluntary temporal attention

We can often anticipate the precise moment when a stimulus will be relevant for our behavioral goals. Voluntary temporal attention, the prioritization of sensory information at task-relevant time points, enhances visual perception. However, the neural mechanisms of voluntary temporal attention have not been isolated from those of temporal expectation, which reflects timing predictability rather than relevance. Here we use time-resolved steady-state visual evoked responses (SSVER) to investigate how temporal attention dynamically modulates visual activity when temporal expectation is controlled. We recorded magnetoencephalography while participants directed temporal attention to one of two sequential grating targets with predictable timing. Meanwhile, a co-localized SSVER probe continuously tracked visual cortical modulations both before and after the target stimuli. We find that in the pre-target period, the SSVER gradually ramps up as the targets approach, reflecting temporal expectation. Furthermore, we find a low-frequency modulation of the SSVER, which shifts approximately half a cycle in phase according to which target is attended. In the post-target period, temporal attention to the first target transiently modulates the SSVER shortly after target onset. Thus, temporal attention dynamically modulates visual cortical responses via both periodic pre-target and transient post-target mechanisms to prioritize sensory information at precise moments.

Temporal construal in sentence comprehension depends on linguistically encoded event structure

How events are ordered in time is one of the most fundamental pieces of information guiding our understanding of the world. Linguistically, this order is often not mentioned explicitly. Here, we propose that the mental construal of temporal order in language comprehension is based on event-structural properties. This prediction is based on a central distinction between states and events both in event perception and language: In perception, dynamic events are more salient than static states. In language, stative and eventive predicates also differ, both in their grammatical behavior and how they are processed. Consistent with our predictions, data from seven pre-registered video-sentence matching experiments, each conducted in English and German (total N = 674), show that people draw temporal inferences based on this difference: States precede events. Our findings not only arbitrate between different theories of temporal language comprehension; they also advance theoretical models of how two different cognitive capacities - event cognition and language - integrate to form a mental representation of time.

Self and time in individuals with schizophrenia: A motor component?

Phenomenology suggests a disruption in the experience of time in individuals with schizophrenia, related to disorders of the sense of self. Patients themselves relate a fragmentation of their temporal experience and of their sense of self. Temporal expectations help relate the present moment to the future and we have previously shown that temporal expectations are fragile in patients, and relate to disorders of the self. Here, we investigate whether patients' performance is still impaired when the motor response to the expected event can be prepared in advance. In two different experiments participants (41 patients vs. 43 neurotypicals in total) responded to a visual target occurring at a variable interval (or "foreperiod") after an initial warning signal. Moreover, in Experiment 1 we measured the sense of self with the EASE scale. We observed the usual benefit of the passage of time: the longer the waiting period, the better the preparation, and the faster the responses. However, this effect also comprises sequential (surprise) effects, when a target occurs earlier than on the preceding trial. We evaluated the effect of the passage of time, by isolating trials that followed a trial with the same foreperiod. The benefit of long, versus short, foreperiods was still observed in controls but disappeared in patients. The results suggest that the benefit of the passage of time is diminished in patients and relates to self disorders, even when the task allows for motor preparation. The results suggest that a non-verbal impairment sub-tends disorders of the sense of self.

Contingent magnetic variation and beta-band oscillations in sensorimotor temporal decision-making

The ability to accurately encode the temporal information of sensory events and hence to make prompt action is fundamental to humans' prompt behavioral decision-making. Here we examined the ability of ensemble coding (averaging multiple inter-intervals in a sound sequence) and subsequent immediate reproduction of target duration at half, equal, or double that of the perceived mean interval in a sensorimotor loop. With magnetoencephalography (MEG), we found that the contingent magnetic variation (CMV) in the central scalp varied as a function of the averaging tasks, with a faster rate for buildup amplitudes and shorter peak latencies in the "half" condition as compared to the "double" condition. ERD (event-related desynchronization) -to-ERS (event-related synchronization) latency was shorter in the "half" condition. A robust beta band (15-23 Hz) power suppression and recovery between the final tone and the action of key pressing was found for time reproduction. The beta modulation depth (i.e., the ERD-to-ERS power difference) was larger in motor areas than in primary auditory areas. Moreover, results of phase slope index (PSI) indicated that beta oscillations in the left supplementary motor area (SMA) led those in the right superior temporal gyrus (STG), showing SMA to STG directionality for the processing of sequential (temporal) auditory interval information. Our findings provide the first evidence to show that CMV and beta oscillations predict the coupling between perception and action in time averaging.

Influences of temporal and probabilistic expectation on subjective time of emotional stimulus

Subjective time perception can change based on a stimulus's valence and expectancy. Yet, it is unclear how these two factors might interact to shape our sense of how long something lasts. Here, we conducted two experiments examining the effects of temporal and probabilistic expectancy on the perceived duration of images with varying emotional valence. In Experiment 1, we varied the temporal predictive cue with varying stimulus-onset asynchronies (SOAs), while in Experiment 2, we manipulated the cue-emotion probabilistic associations. Our results revealed that stimuli appearing earlier than anticipated were perceived as shorter, whereas less infrequent stimuli seemed to last longer. In addition, negative images were perceived longer than neural ones. However, no significant interaction between expectancy and stimulus valence was observed. We interpret these using the internal clock model, suggesting that while emotional stimuli primarily affect the pacemaker's rhythm through arousal, expectation steers attention, influencing how we register time's passage.

Blocked versus interleaved: How range contexts modulate time perception and its EEG signatures

Accurate time perception is a crucial element in a wide range of cognitive tasks, including decision-making, memory, and motor control. One commonly observed phenomenon is that when given a range of time intervals to consider, people's estimates often cluster around the midpoint of those intervals. Previous studies have suggested that the range of these intervals can also influence our judgments, but the neural mechanisms behind this "range effect" are not yet understood. We used both behavioral tests and electroencephalographic (EEG) measures to understand how the range of sample time intervals affects the accuracy of people's subsequent time estimates. Study participants were exposed to two different setups: In the "blocked-range" (BR) session, short and long intervals were presented in separate blocks, whereas in the "interleaved-range" (IR) session, intervals of various lengths were presented randomly. Our findings indicated that the BR context led to more accurate time estimates compared to the IR context. In terms of EEG data, the BR context resulted in quicker buildup of contingent negative variation (CNV), which also reached higher amplitude levels and dissolved more rapidly during the encoding stage. We also observed an enhanced amplitude in the offset P2 component of the EEG signal. Overall, our results suggest that the variability in time intervals, as defined by their range, influences the neural processes that underlie time estimation.

ATLAS: Mapping ATtention's Location And Size to probe five modes of serial and parallel search

Conventional visual search tasks do not address attention directly and their core manipulation of 'set size' - the number of displayed items - introduces stimulus confounds that hinder interpretation. However, alternative approaches have not been widely adopted, perhaps reflecting their complexity, assumptions, or indirect attention-sampling. Here, a new procedure, the ATtention Location And Size ('ATLAS') task used probe displays to track attention's location, breadth, and guidance during search. Though most probe displays comprised six items, participants reported only the single item they judged themselves to have perceived most clearly - indexing the attention 'peak'. By sampling peaks across variable 'choice sets', the size and position of the attention window during search was profiled. These indices appeared to distinguish narrow- from broad attention, signalled attention to pairs of items where it arose and tracked evolving attention-guidance over time. ATLAS is designed to discriminate five key search modes: serial-unguided, sequential-guided, unguided attention to 'clumps' with local guidance, and broad parallel-attention with or without guidance. This initial investigation used only an example set of highly regular stimuli, but its broader potential should be investigated.

Rhythmic variance influences the speed but not the accuracy of complex averaging decisions

When a rhythm makes an event predictable, that event is perceived faster, and typically more accurately. However, the experiments showing this used simple tasks, and most manipulated temporal expectancy by using periodic or aperiodic precursors unrelated to stimulus and task. Three experiments tested the generality of these observations in a complex task in which rhythm was intrinsic to, rather than a precursor of, the information needed to respond: listeners averaged the laterality of a stream of noise bursts. We varied presentation rate, degree of periodicity, and average lateralisation. Decisions following a probe tone were fastest after periodic stimuli, and slowest after the most aperiodic stimuli. Without a probe tone, listeners responded sooner during periodic sequences, thus hearing less information. Periodicity did not benefit accuracy overall. This gain in speed but not accuracy for less information is not reported for simpler tasks. Neural entrainment supplemented by cognitive factors provide a tentative explanation. When the task is inherently complex and demands high attention over long durations, both expected-periodic and unexpected-aperiodic stimuli can increase response amplitude, enhancing stimulus representation, but periodicity increases confidence to respond early. Drift diffusion modelling supports this proposal: aperiodicity modulated the decision threshold, but not the drift rate or non-decision time. Together, these new data and the literature point towards task-dependent effects of temporal expectation on decision-making, showing interactions between rhythmic variance, task complexity, and sources of expectation about stimuli. We suggest the implications are worth exploring to extend understanding of rhythmicity on decision-making to everyday situations.

Cerebellar Direct Current Stimulation Reveals the Causal Role of the Cerebellum in Temporal Prediction

Temporal prediction (TP) influences our perception and cognition. The cerebellum could mediate this multi-level ability in a context-dependent manner. We tested whether a modulation of the cerebellar neural activity, induced by transcranial Direct Current Stimulation (tDCS), changed the TP ability according to the temporal features of the context and the duration of target interval. Fifteen healthy participants received anodal, cathodal, and sham tDCS (15 min × 2 mA intensity) over the right cerebellar hemisphere during a TP task. We recorded reaction times (RTs) to a target during the task in two contextual conditions of temporal anticipation: rhythmic (i.e., interstimulus intervals (ISIs) were constant) and single-interval condition (i.e., the estimation of the timing of the target was based on the prior exposure of the train of stimuli). Two ISIs durations were explored: 600 ms (short trials) and 900 ms (long trials). Cathodal tDCS improved the performance during the TP task (shorter RTs) specifically in the rhythmic condition only for the short trials and in the single-interval condition only for the long trials. Our results suggest that the inhibition of cerebellar activity induced a different improvement in the TP ability according to the temporal features of the context. In the rhythmic context, the cerebellum could integrate the temporal estimation with the anticipatory motor responses critically for the short target interval. In the single-interval context, for the long trials, the cerebellum could play a main role in integrating representation of time interval in memory with the elapsed time providing an accurate temporal prediction.