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This article proposes a robust end-to-end deep learning-induced fault recognition scheme by stacking multiple sparse-denoising autoencoders with a Softmax classifier, called stacked spare-denoising autoencoder (SSDAE)-Softmax, for the fault identification of complex industrial processes (CIPs). Specifically, sparse denoising autoencoder (SDAE) is established by integrating a sparse AE (SAE) with a denoising AE (DAE) for the low-dimensional but intrinsic feature representation of the CIP monitoring data (CIPMD) with possible noise contamination. SSDAE-Softmax is established by stacking multiple SDAEs with a layerwise pretraining procedure, and a Softmax classifier with a global fine-tuning strategy. Furthermore, SSDAE-Softmax hyperparameters are optimized by a relatively new global optimization algorithm, referred to as the state transition algorithm (STA). Benefiting from the deep learning-based feature representation scheme with the STA-based hyperparameter optimization, the underlying intrinsic characteristics of CIPMD can be learned automatically and adaptively for accurate fault identification. A numeric simulation system, the benchmark Tennessee Eastman process (TEP), and a real industrial process, that is, the continuous casting process (CCP) from a top steel plant of China, are used to validate the performance of the proposed method. Experimental results show that the proposed SSDAE-Softmax model can effectively identify various process faults, and has stronger robustness and adaptability against the noise interference in CIPMD for the process monitoring of CIPs.

The ability to recover from stress, which is essential for sleep quality, is characterized as psychological resilience. Meanwhile, poor sleep quality is commonly related to low psychological resilience. However, the neurological underpinnings of psychological resilience, as well as the neural substrates of the links between psychological resilience and sleep quality in healthy brains, remain not well understood. Based on the recent studies that the middle frontal gyrus (MFG) acted a important role in psychological resilience. The current study sought to determine the association between functional connectivity of the MFG and psychological resilience in 144 young college students using resting-state functional connectivity (rs-FC) analysis. Then, we examined how psychological resilience-related functional connectivity was linked to sleep quality. Results indicated that the MFG functional connectivity was observed to associate with psychological resilience. These connectivities involved the right middle cingulum gyrus (rMCG), the right precentral gyrus (rPreCG), the left postcentral gyrus (lPoCG), and the left thalamus. In addition, mediation analysis suggested that psychological resilience played a mediating role in the relationship among the rMFG-rMCG, the rMFG-rPreCG, the rMFG-lPoCG, and the lMFG-left thalamus and sleep quality. Overall, the current study offers new evidence for the neurological underpinnings of psychological resilience and brings to light an underlying mechanism that the relationship between MFG connectivity and sleep quality is mediated through psychological resilience.

Individual differences in the regulation of emotion are associated with trait self-esteem (TSE). However, how TSE is linked with emotion regulation at the neural level is still poorly understood. Accordingly, we adopted the resting-state functional connectivity (rsFC) analysis to identify the neural bases linking TSE with emotion regulation. 234 young adults (44.9% females, Mage = 21.36) were guided to undergo the MRI scans and then complete the Rosenberg Self-Esteem Scale and the Emotion Regulation Questionnaire formed by two dimensions: cognitive reappraisal and expressive suppression. Results found that TSE mediated the relationships between the precuneus functional connectivity and different emotion regulation strategies. Specifically, rsFC analysis showed that TSE was positively correlated with rsFC, including right precuneus (rPrcu)-left superior frontal gyrus (lSFG) and left precuneus cortex (lPrcu)-left superior temporal gyrus (lSTG). Further mediation analysis indicated a mediated role of TSE in the link between the two connectivity and cognitive reappraisal. In addition, TSE was positively correlated with rsFC rPrcu-right lateral occipital cortex (rLOC). Further mediation analysis indicated a mediated role of TSE in the link between rPrcu-rLOC and expressive suppression. Overall, we reveal the neurofunctional correlates why people with higher TSE prefer to use cognitive reappraisal rather than expressive suppression.

Despite a long history of interest in the relation of emotion regulation (ER) to sleep quality, how ER is linked with sleep quality at the neural level is still poorly understood. Accordingly, we adopted the resting-state functional connectivity (rsFC) analysis to identify the neural bases linking ER with sleep quality. 183 young adults (51.7% females, Mage = 22.16) were guided to undergo the MRI scans and then complete the Pittsburgh Sleep Quality Index (PSQI) and the emotion regulation Questionnaire (ERQ) formed by two dimensions: cognitive reappraisal and expressive suppression. Results found that ER mediated the association between functional connectivity within intrinsic default-mode network (DMN) and sleep quality. Specifically, rsFC analysis showed that cognitive reappraisal was positively correlated with rsFC within DMN, including left superior temporal gyrus (lSTG)-left lateral occipital cortex (lLOC), lSTG-left anterior cingulate gyrus (lACG), right lateral occipital cortex (rLOC)-left middle frontal gyrus (lMFG), and rLOC-lSTG. Further mediation analysis indicated a mediated role of cognitive reappraisal in the link between the four connectivity and sleep quality. In addition, expressive suppression was positively correlated with rsFC within DMN, including left precuneus cortex (lPrcu)-right Temporal Pole (rTP) and lPrcu- lSTG. Further mediation analysis indicated a mediated role of expressive suppression in the link between the two connectivity and sleep quality. Overall, this finding supports the process model of ER, in that the effects of reappraisal and suppression have varying neural circuits that impact that strategy’s effect on sleep quality.

Previous neuroimaging studies have demonstrated that sleep is associated with brain functional changes in some specific brain regions. However, few studies have examined the relationship between all possible functional connectivities (FCs) within the sensory/somatomotor network (SSN) and the sleep quality of young male samples. The SSN consists of two motor cortices and is known to play a critical role in sleep. Poor sleep quality may be associated with increased sensory/somatomotor functional connectivity during rest. Hence, 202 young male participants underwent a resting-state functional magnetic resonance imaging (fMRI) scan and completed the Pittsburgh Sleep Quality Index (PSQI). Results indicated that increased functional connectivity within the SSN was associated with poor sleep quality. Specifically, the total PSQI score was positively correlated with the increased functional connectivity of the left paracentral lobule (PCL), bilateral precentral gyrus (PreCG), supplementary motor area (SMA) and bilateral postcentral gyrus (PoCG). Additionally, our findings also exhibited that (a) the subjective sleep quality factor of PSQI was positively correlated with FC between the bilateral PoCG and the bilateral PCL as well as between the left PreCG and the right SMA; (b) the sleep latency factor of PSQI was positively correlated with FC between the left PoCG and the right precuneus (PCUN); (c) the sleep disturbances factor of PSQI was positively correlated with FC between the left PCL and the right PoCG, and (d) the daytime dysfunction factor of PSQI was positively correlated with FC between the bilateral PoCG and the left PCL as well as between the bilateral PreCG and the SMA. In short, our findings can be comprehensively understood as neural mechanisms of intrinsic SSN connectivity are associated with sleep quality of man. Meanwhile, it may expand our knowledge and provide new insight into a deeper understanding of the neurobiological mechanisms of sleep or sleep problems.

Many studies have focused on the gray matter volume associated with sleep quality, little is known about the relationship between white matter volume and sleep quality. Brain white structure is a crucial component in the structural neuroanatomy. Therefore, in this study, we investigated the association between white matter volume and sleep quality. Data were collected using the Pittsburgh Sleep Quality Index and voxel-based morphometry among 352 college students. Results showed that the global PSQI score was negatively associated with the white matter volume, including in the right middle occipital gyrus, the left superior temporal gyrus, the right the precentral gyrus, the left supramarginal gyrus, the left middle frontal gyrus, the left precunes, and the right superior frontal gyrus. Results also indicated that the white matter volume in specific regions negatively associated with the factor of PSQI. These specific brain regions may be replicated in brain areas related to sleep quality. In summary, we suggested that exploring brain white structure are related to sleep could help to expound the mechanisms by which sleep quality are associated with brain function, behavior and cognition, as well as potentially the networks and systems responsible for variations in sleep themselves.

Anecdotal experiences show that the human perception of time is subjective, and changes with one's emotional state. Over the past 25 years, increasing empirical evidence has demonstrated that emotions distort time perception and usually result in overestimation. Yet, some inconsistencies deserve clarification. Specifically, it remains controversial how valence (positive/negative), arousal (high/low), stimulus type (scenic picture/facial expression/word/sound), and temporal paradigm (reproduction/estimation/discrimination) modulate the effect of emotion on time perception. Thus, the current study aimed to conduct a meta-analysis to quantify evidence for these moderators. After searching the Web of Science, SpiScholar, and Google Scholar, 95 effect sizes from 31 empirical studies were calculated using Hedges'g. The included studies involved 3,776 participants. The results a highlighted significant moderating effect of valence, arousal, stimulus type, and temporal paradigm. Specifically, negative valence tends to result in overestimation relative to positive valence; the increasing arousal leads to increasing temporal dilating; scenic picture, facial picture, and sound are more effective in inducing distortions than word; the overestimation can be better observed by discrimination and estimation paradigms relative to reproduction paradigms, and estimation paradigm is likely to be the most effective. These results suggest that the effect of emotion on time perception is influenced by valence, arousal, stimulus type, and temporal paradigm. These mitigating factors should be considered by scientists when studying time perception.

Emotion plays an important role in sleep quality, meanwhile, poor sleep quality is usually correlated with high negative emotions (NES). However, less is known about the neural basis for NES and the underlying mechanism for how NES affect individuals' sleep quality in the health brain. The present study combined voxel-based morphometry and resting-state functional connectivity analysis to identify the relationship between brain regions and NES, and then explored how NES-related brain structures are related to sleep quality in a large sample of normal young adults.The present study used a fMRI procedure. Participants were 339 normal young adults. The NES was represented by the principal components of four measures: the Self-rating Anxiety Scale, Self-rating Depression Scale, Negative Affect Schedule, and Psychosomatic Tension Relaxation Inventory. Sleep quality was measured using the Pittsburgh Sleep Quality Index.Results showed that higher NES scores were associated with larger regional gray matter volume (rGMV) in the left parahippocampal gyrus, right superior temporal gyrus, and right postcentral gyrus. Further functional connectivity analysis demonstrated that the connectivity between these three brain regions and a specific set of emotion-related regions was also significantly associated with NES scores. Moreover, NES acted as a mediator of the relationship between the rGMV of the left parahippocampal gyrus, right superior temporal gyrus, and right postcentral gyrus and sleep quality. NES also mediated the relationship between the connectivity between the right superior temporal-supplementary motor area and the right superior temporal-right precentral gyrus and sleep quality.The present study provides the further evidence for neural substrates of NES and reveals a potential mechanism that NES mediates the effect of spontaneous brain activity on sleep quality. Meanwhile, these findings indicate that negative emotions share a common brain structure and function based on sleep quality.

Most previous studies have explored the relationship between gray matter volume and sleep quality, but little is known about the relationship between white matter volume and sleep quality. Data were collected using the Pittsburgh Sleep Quality Index and voxel-based morphometry among 352 healthy college students. Results showed that the global PSQI score was negatively associated with the white matter volume, including in the right middle occipital gyrus, the left superior temporal gyrus, the right the precentral gyrus, the left supramarginal gyrus, the left middle frontal gyrus, the left precunes, and the right superior frontal gyrus. Results also indicated that the white matter volume in specific regions negatively predicted the factor of PSQI. These specific brain regions may be replicated in brain areas related to sleep quality. In summary, we suggested that an investigation of white matter structural alterations in the specific regions might be beneficial to tackle underlying neurological mechanisms of sleep quality.

The role of brain regions in the relationship between psychological stress and sleep quality is unclear. This study investigates the neuroanatomical basis of the association between psychological stress and sleep quality. Data were collected using the Pittsburgh Sleep Quality Index, the Psychosomatic Tension Relaxation Inventory, and voxel-based morphometry among 318 healthy students. The results showed that psychological stress was negatively correlated with sleep quality. According to the mediation analysis results, the correlation between psychological stress and sleep quality was partially mediated by the region of the bilateral inferior temporal gyrus. These findings suggest that there is a strong link between sleep quality and psychological stress, highlighting the gray matter volume of the bilateral inferior temporal gyrus related to emotional processing, which plays an essential role in improving sleep quality.

Little is known about the electrophysiological basis of the effect of threat-related emotional stimuli with different motive directions on interval judgment. Thus, event-related potentials were employed to examine the effects of two threat-related emotional expressions (angry expressions and fearful expressions) on the judgment of intervals in the range of 490–910 ms. Behavioral results showed that there was a greater underestimation of the duration of angry expressions than fearful expressions (i.e., the generalization gradient for the angry expressions was shifted to the right more than for the fearful expressions) when compared with neutral expressions. Event-related potentials results showed that, compared with neutral expressions, a smaller area of contingent negative variation (an online event-related potentials index of timing) was observed in fearful expression conditions and was more apparent in the angry expression condition (angry expression = 1.87±.13μV•s; fearful expression = 2.24±.15μV•s; and neutral expression = 2.69±.15μV•s). The results revealed that precise neural mechanisms may underlie the attention effects of different subtypes of threat-associated emotions on interval judgment; compared with neutral expressions, angry expressions are likely to distract more attentional resources from timing than fearful expressions. The chief contribution of the current study is that it provides neural correlates of the difference between angry expressions and fearful expressions on interval judgment, and demonstrates beyond the behavioral level that the categorization of threat-related emotions should be refined so as to highlight the adaptability of the human defense system.

Accurate cardiac segmentation of multimodal images, e.g., magnetic resonance (MR), computed tomography (CT) images, plays a pivot role in auxiliary diagnoses, treatments and postoperative assessments of cardiovascular diseases. However, training a well-behaved segmentation model for the cross-modal cardiac image analysis is challenging, due to their diverse appearances/distributions from different devices and acquisition conditions. For instance, a well-trained segmentation model based on the source domain of MR images is often failed in the segmentation of CT images. In this work, a cross-modal images-oriented cardiac segmentation scheme is proposed using a symmetric full convolutional neural network (SFCNN) with the unsupervised multi-domain adaptation (UMDA) and a spatial neural attention (SNA) structure, termed UMDA-SNA-SFCNN, having the merits of without the requirement of any annotation on the test domain. Specifically, UMDA-SNA-SFCNN incorporates SNA to the classic adversarial domain adaptation network to highlight the relevant regions, while restraining the irrelevant areas in the cross-modal images, so as to suppress the negative transfer in the process of unsupervised domain adaptation. In addition, the multi-layer feature discriminators and a predictive segmentation-mask discriminator are established to connect the multi-layer features and segmentation mask of the backbone network, SFCNN, to realize the fine-grained alignment of unsupervised cross-modal feature domains. Extensive confirmative and comparative experiments on the benchmark Multi-Modality Whole Heart Challenge dataset show that the proposed model is superior to the state-of-the-art cross-modal segmentation methods.

This study investigated the neuroanatomical basis of the association between depression/anxiety and sleep quality among 370 college students. The results showed that there was a significant correlation between sleep quality and depression/anxiety. Moreover, mediation results showed that the gray matter volume of the right insula mediated the relationship between depression/anxiety and sleep quality, which suggested that depression/anxiety may affect sleep quality through the right insula volume. These findings confirmed a strong link between sleep quality and depression/anxiety, while highlighting the volumetric variation in the right insula associated with emotional processing, which may play a critical role in improving sleep quality.

It is unclear whether altering the activity of the right dorsolateral prefrontal cortex (right DLPFC) affects an individual’s timing performance in milliseconds- and seconds range timing. Here we investigated the causal role of right DLPFC in milliseconds- and seconds range timing with a temporal bisection task under the application of transcranial direct current stimulation (tDCS) that altered the neural activities of the right DLPFC. The tDCS conditions consisted of anodal, cathodal, and sham conditions. The electrodes were placed over the F4 position (10–20 system) and on the left supraorbital forehead. In current study, participants completed two blocks of trials involving short (“Short blocks”: 200–800 ms) or longer (“Long blocks”: 1400–2600 ms) durations. The results showed that no significant differences in the bisection point (BP) were found among anodal condition, sham condition and cathodal condition in “Short blocks”. However, in “Long blocks”, the BP were found to be shifted toward the left for the anodal condition, sham condition, compared to cathodal condition, suggesting that the stimulus duration was judged to last longer for anodal condition compared to sham condition, whereas shorter for cathodal condition compared to sham condition. The results demonstrated that the right DLPFC played a causal role in seconds range timing (average duration 2000 ms), but not in milliseconds range timing (average duration 500 ms), which is shown it might be involved in the cognitive processing (for example, working memory process) based on dual-timing system and scalar timing theory.

How the functional connectivity of brain networks affects the relationship between psychological stress and sleep quality remains unclear. To better understand the associations between psychological stress, resting-state functional connectivity (RSFC), and sleep quality, we used the RSFC, Pittsburgh Sleep Quality Index (PSQI), and Psychosomatic Tension Relaxation Inventory (PSTRI) to investigate the relationship between psychological stress, sleep quality, and RSFC in four brain networks, the sensory/somatomotor (SM) network, cigulo-opercular control (CO) network, default mode (DM) network, and dorsal attention (DA) network, in a large healthy sample of 315 college students from Southwest University. Results showed that the brain functional connectivity in the SM, CO, DM, and DA networks was significantly correlated to sleep quality. Meanwhile, we also found that the brain functional connectivity between the SM and CO networks partially mediated the relationship between psychological stress and sleep quality, suggesting that psychological stress has an important effect on individuals' sleep quality, and increased functional connectivity between the SM and CO networks provides a neural basis for the association between psychological stress and poor sleep quality.

Time perception plays a fundamental role in human social activities, and it can be influenced in social situations by various factors, including facial attractiveness. However, in the eyes of observers of different genders, the attractiveness of a face varies. The current study aimed to explore whether gender modulates the effect of facial attractiveness on time perception. To account for individual differences in esthetic standards, the critical stimuli presented to each participant were selected from an image pool based on the participant’s own attractiveness judgments. In Experiment 1, men and women performed a stimuli selection task followed by a temporal reproduction task to measure their time perception of faces of different attractiveness levels and gender. To control for the potential influence of task order, Experiment 2 flipped the order of the selection and temporal tasks. Taken together, the experiments showed that both men and women exhibited longer reproduced durations for attractive opposite-sex faces than for unattractive opposite-sex faces; conversely, in the same-sex face condition, women still exhibited longer reproduced durations for attractive faces than for unattractive faces, whereas the effect of facial attractiveness on time perception among men tended to be smaller or even fail to reach significance. These results suggest that gender differences play an important role in the effect of facial attractiveness on time perception.

It has been widely demonstrated that a prolonged adaptation to a relatively long or short stimulus leads to a robust repulsive duration aftereffect. However, little is known about the rapid adaptation to stimulus duration. In this study, we investigated whether the duration aftereffect could also be induced by short-term adaptation to stimuli of both sub- and supra-second durations. To control for the internal reference for duration judgment, participants were adapted to a stimulus of medium duration, and then tested with both longer and shorter stimuli. We found that the duration aftereffect was only observed after long-term adaptation to stimuli of both sub- and supra-second durations, which suggests that the exposure time to the adaptor is a fundamental factor in determining the duration aftereffect. Our findings offer further evidence of the duration aftereffect, which in this study was dissociated from the anchor effect and high-level aftereffects.

The most widely used measurements of mindfulness are the Mindful Attention Awareness Scale (MAAS) and the Five Facet Mindfulness Questionnaire (FFMQ). However, controversies exist regarding the application of these scales. Additionally, the neural mechanisms of dispositional mindfulness havebecome a topic of interest. In the current study, we used surface-based methodology to identify the brain regions underlying individual differences in dispositional mindfulness in a large non-clinical sampleand compared the two instruments for measuring the dispositional mindfulness. The results indicated that theMAAS scores were significantly associated with increased greymatter volumes in the right precuneus and the significant association between the precuneus and depression symptomatology was mediated by MAAS scores. Regarding the FFMQ, the Describing, Nonjudging, and Nonreactivity facets were selectively associated with the cortical volume, thickness and surface area of multiple prefrontal regions as well as the inferior parietal lobule. Importantly, Describing mediated the association between the dorsolateral PFC volume and the cognitive reappraisal strategies of emotion regulation. These resultssuggested that the MAASwere mainly associated with self-awareness, while the FFMQ facets were selectively involved in emotion regulation, attention control and self-awareness. Therefore, this study characterized the differences in inter-individual variability between the two typical measurements of dispositional mindfulnessand the correlations between those measurements and imaging analyses.

Perceptual synchrony and multisensory integration both vary as a function of stimulus onset asynchrony, but evidences from behavioral, patient, and lesion studies all support some dissociation between these two processes. Although it has been found that both perceptual synchrony and multisensory integration are recalibrated after exposure to asynchronous multisensory stimuli, no studies have directly compared these two recalibration patterns. We addressed this by using McGurk speech and requiring participants to perform simultaneity judgments and a syllable identification task in separate sessions. The results revealed that after exposure to asynchrony, both perceptual synchrony and McGurk fusion shifted toward the temporal lag. The recalibration aftereffects (i.e., the magnitude of shifts) of these two processes have no significant difference and correlation. In addition, McGurk fusion increased strongly at the direction of the temporal lag, which could not be fully explained by fusion shifts. Thus, the present research implies that recalibration patterns of explicit and implicit timing represented by perceptual synchrony and multisensory integration have both similarity and difference.

Recalibration of perceived simultaneity has been widely accepted to minimise delay between multisensory signals owing to different physical and neural conduct times. With concurrent exposure, temporal recalibration is either contextually or spatially based. Context-based recalibration was recently described in detail, but evidence for space-based recalibration is scarce. In addition, the competition between these two reference frames is unclear. Here, we examined participants who watched two distinct blob-and-tone couples that laterally alternated with one asynchronous and the other synchronous and then judged their perceived simultaneity and sequence when they swapped positions and varied in timing. For low-level stimuli with abundant auditory location cues space-based aftereffects were significantly more apparent (8.3%) than context-based aftereffects (4.2%), but without such auditory cues space-based aftereffects were less apparent (4.4%) and were numerically smaller than context-based aftereffects (6.0%). These results suggested that stimulus level and auditory location cues were both determinants of the recalibration frame. Through such joint judgments and the simple reaction time task, our results further revealed that criteria from perceived simultaneity to successiveness profoundly shifted without accompanying perceptual latency changes across adaptations, hence implying that criteria shifts, rather than perceptual latency changes, accounted for space-based and context-based temporal recalibration.

This study aimed to investigate the mechanisms underlying joke comprehension using event-related potentials (ERPs). Fourteen healthy college students were presented with the context of a story without its joke or nonjoke ending, and then, when the story ending was presented, they were asked to make a funny/unfunny judgment about these endings. The behavioral results showed that there was no significant difference between funny and unfunny items, which meant that subjects could understand funny items as easily as unfunny ones. However, the ERP results showed that funny items initially elicited a more negative ERP deflection (N350-450) over frontocentral scalp regions. Dipole analysis localized the generators in the left temporal gyrus and the left medial frontal gyrus; it is suggested that these areas might be involved in detecting the incongruent element in joke comprehension. Between 600 and 800 ms, funny items subsequently elicited a more negative ERP deflection (N600-800) over frontocentral scalp regions and a more positive ERP deflection (P600-800) over posterior scalp regions. Dipole analysis localized the generator in the anterior cingulate cortex (ACC), an area involved in the breaking of mental set/expectation and the forming of novel associations. Finally, funny items elicited a more positive ERP deflection (P1250-1400) over anterior and posterior scalp regions. Dipole analysis localized the generators in the middle frontal gyrus and the fusiform gyrus, areas that might be related to the affective appreciation stage in joke process. Unlike that of Coulson and Kutas (2001), the present study might support the hypothesis of a three stage model of humor processing (humor detection, resolution of incongruity and humor appreciation).

Event-related potentials (ERPs) were recorded to explore the electrophysiological correlates of self-referencial processing when subjects were asked to judge whether the stimuli (their hands) were their own or not. ERP results showed that: first, own hand elicited a greater positive component (P350-500) than did other hand in the time window of 350-500 ms, and the generator of P350-500 was localized in the anterior cingulate cortex (ACC), which might be related to retrieval and identification of self-referencial information due to their sensitivity to self-hand. Second, own hand elicited a more positive component (LPC) than did other hand in the later time window. Dipole analysis revealed that the generators were localized in the parahippocampal gyrus and the medial frontal gyrus, which might be involved in making a self-referencial decision based on retrieval of self-hand information.

The present study examined the neural mechanisms of attention modulation on timing using ERP and sLORETA measurements in a dual-task paradigm. We parametrically varied the attention to the durations of a 1000-Hz pure tone and further localized the cortical regions that were sensitive to the attention modulation on timing. Results demonstrated that the attention modulation might happen at early stage, approximately 200 ms after stimulus presentation. The P2 component at frontal area served as an early neural correlate of attention effects on timing. More importantly, the contingent negative variation (CNV) appeared at fronto-central area was sensitive to the attention effect. In addition, the supplementary motor area (SMA) was assumed to be one of the key regions for selectively attending to and estimating time. These findings provide temporal and spatial correlates of attention-modulated time processing and potentially help to investigate the neural mechanisms of patients with time perception deficits.