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Predictive processing in the brain, involving interaction between interoceptive (bodily signal) and exteroceptive (sensory) processing, is essential for understanding music as it encompasses musical temporality dynamics and affective responses. This study explores the relationship between neural correlates and subjective certainty of chord prediction in both musically appropriate chord progressions and random chord sequences. Participants were asked to predict the final chord in sequences while their brain activity was measured using electroencephalography (EEG). We found that the stimulus preceding negativity (SPN), an EEG component associated with predictive processing of sensory stimuli, was larger for random chord sequences than for chord progressions. Additionally, the heartbeat evoked potential (HEP), an EEG component related to interoceptive processing, was larger for random chord sequences and correlated with prediction certainty ratings. HEP also correlated with the N5 component, found while listening to the final chord. Our results suggest that SPN may be linked to the emotional detection of chord sequences, while HEP may reflect motivational differences during the task. These findings offer new insights into the neural mechanisms underlying music perception and prediction, emphasizing the importance of considering auditory prediction certainty when examining the neural basis of music cognition.

Muscle sympathetic nerve activity (MSNA) is known as an effective measure to evaluate peripheral sympathetic activity; however, it requires invasive measurement with the microneurography method. In contrast, peripheral arterial stiffness affected by MSNA is a measure that allows non-invasive evaluation of mechanical changes of arterial elasticity. This paper aims to clarify the features of peripheral arterial stiffness to determine whether it inherits MSNA features towards non-invasive evaluation of its activity. To this end, we propose a method to estimate peripheral arterial stiffness $$\beta$$ β at a high sampling rate. Power spectral analysis of the estimated $$\beta$$ β was then performed on data acquired from 15 patients ($$23.7 \pm 9.0$$ 23.7 ± 9.0 years) who underwent endoscopic thoracic sympathectomy. We examined whether $$\beta$$ β exhibited the features of MSNA where its frequency components synchronise with heart and respiration rates and correlates with the low-frequency component of systolic blood pressure. Regression analysis revealed that the local peak frequency in the range of heartbeat frequency highly correlate with the heart rate ($$R^{2}=0.85$$ R 2 = 0.85 , $$p=6.3\times 10^{-13}$$ p = 6.3 × 10 - 13 ) where the regression slope was approximately 1 and intercept was approximately 0. Frequency analysis then found spectral peaks of $$\beta$$ β approximately 0.2 Hz that correspond to the respiratory cycle. Finally, cross power spectral analysis showed a significant magnitude squared coherence between $$\beta$$ β and systolic blood pressure in the frequency band from 0.04 to 0.2 Hz. These results indicate that $$\beta$$ β inherits the features observed in MSNA that require invasive measurements, and thus $$\beta$$ β can be an effective non-invasive substitution for MSNA measure.

To date, a neuroscientific investigation of drivers’ steering behavior has never been performed because the reaction forces generated by the mechanical characteristics of a steering wheel have been difficult to assess in a magnetic resonance imaging (MRI) environment. In this study, using our previously developed MRI-compatible unit for steering reaction force generation, we investigated changes in human brain activity induced by varying the viscoelastic characteristics associated with manipulating a car steering wheel. Participants performed a simulated driving task with three levels of stiffness and viscosity. An amplitude effect of reaction forces on the measured brain activity due to varying stiffness was found in the primary motor cortex (M1) associated with hand representation. Conversely, the changes in the brain activity induced by varying viscosity were found more dorsally in the premotor cortex and the M1 than in regions associated with hand representation. These results are the first to demonstrate that various viscoelastic characteristics activate different motor regions; more specifically, stiffness and viscosity of the steering wheel mainly affected the motor control of the distal and proximal muscles, respectively.

It is known that the value of an object can be increased by forming an image of owning the object without actually possessing it. However, the detailed mechanism behind this phenomenon remains unknown. In this study, we conducted two experiments using newly created three-dimensional abstract objects to examine whether the formation of a mental image of ownership increases the value of an object when a participant has a haptic experience of the object. The results suggest that when participants’ mental visual imagery ability was relatively high, having a haptic experience increased the value of the object through their image of ownership. For others, however, imagining ownership lowered the value of the object. The results also indicate that obtaining spatial information about an object through a haptic experience increases the value of the object. This study suggests that haptic information about an object contributes to the mechanism modulating how the value of an object is influenced by individual differences in visuospatial imagery ability.

Interoception plays an important role in emotion processing, but the relationship between the physiological responses associated with emotional experience and interoception is unclear. In this study, we measured interoceptive sensitivity using the heartbeat discrimination task and investigated the effects of individual differences in interoceptive sensitivity on changes in heart rate and insula activity in response to music-induced emotions. We found that the heart rate increased when listening to the music pieces rated as emotionally high-touching in the high interoceptive sensitivity group only. Compared to the emotionally low-touching music, listening to the emotionally high-touching music was associated with higher insula activity. Furthermore, relative to individuals with low interoceptive sensitivity, the region of interest analysis of the insula subregions for individuals with high interoceptive sensitivity revealed significant activity in the bilateral dorsal granular insula, the right ventral dysgranular insula, and the right granular and dorsal dysgranular insula while listening to the high-touching music pieces. Our results suggest that individuals with high interoceptive sensitivity use their physical condition to assess their emotional level when listening to music. Furthermore, the insula activity may reflect the use of interoception to estimate emotions.

Precise temporal synchronisation between action and perception is crucial in daily life. Interestingly, synchronised tapping for every other tone or more (1:n tapping) is more precise than that for each tone (1:1 tapping), and this phenomenon is called 'subdivision benefit'. One hypothesis to explain this phenomenon is that there is a tendency to underestimate an empty interval, but the subdivision is used as an additional temporal reference and causes an illusionary longer intertap interval (ITI). The other hypothesis is based on strong/weak beats in a tone sequence made by subdivision. Because the strong beat improves the sensitivity of duration perception, synchronisation with strong beats should be better compared with other beats. Instead, the first hypothesis suggests that the subdivision benefit occurs irrespective of beat strength. The present study aimed to clarify this discrepancy using a 1:3 tapping task for a sequence of three-tone patterns and a 1:1 tapping task for a sequence of a single tone repetition. A further aim was to clarify the effect of musical experience. When the ITI was 900 ms or more, the variability of tapping showed the subdivision benefit, irrespective of beat strength. This result supports the first hypothesis, and musicians obtained more benefits than non-musicians. Instead, the timing of tap did not shorten by subdivision, except for the ITI of 900 ms. The findings implicate that the subdivision benefit is due to the additional temporal reference by the subdivided tones, and the benefit is dependent on the ITI length.

A major hurdle in the development of automobiles that are easy to operate and pleasant to drive is ignorance of the influence of the characteristics of the steering force on the driver based on an understanding of the brain. To address this problem, it is suitable to measure brain activity by using functional magnetic resonance imaging (fMRI), which can measure activity in the entire brain at a high spatial resolution. In this study, we develop an fMRI-compatible steering force generation unit and verify its performance. To avoid disturbance due to the electromagnetic field of the MRI, the unit was configured as follows: a motor installed outside a scan room generated a reaction force that was transmitted to a steering wheel placed in the hands of a subject using a nonmagnetic transmission unit. To verify the performance of the unit, we measured the brain activity of participants of an experiment by using fMRI while they performed steering operations using their arm/arms under various steering forces. The results were consistent with those for motor-related brain activity obtained in past neuroimaging studies. We conclude that the proposed unit can measure brain activity through fMRI in the presence of a steering reaction force.

Brain activity associated with pain perception has been revealed by numerous PET and fMRI studies over the past few decades. These findings helped to establish the concept of the pain matrix, which is the distributed brain networks that demonstrate pain-specific cortical activities. We previously found that peripheral arterial stiffness $${\beta }_{\text{art}}$$ β art responds to pain intensity, which is estimated from electrocardiography, continuous sphygmomanometer, and photo-plethysmography. However, it remains unclear whether and to what extent $${\beta }_{\text{art}}$$ β art aligns with pain matrix brain activity. In this fMRI study, 22 participants received different intensities of pain stimuli. We identified brain regions in which the blood oxygen level-dependent signal covaried with $${\beta }_{\text{art}}$$ β art using parametric modulation analysis. Among the identified brain regions, the lateral and medial prefrontal cortex and ventral and dorsal anterior cingulate cortex were consistent with the pain matrix. We found moderate correlations between the average activities in these regions and $${\beta }_{\text{art}}$$ β art (r = 0.47, p $${\beta }_{\text{art}}$$ β art was also significantly correlated with self-reported pain intensity (r = 0.44, p r = 0.43, p $${\beta }_{\text{art}}$$ β art is positively correlated with pain-related brain activity and subjective pain intensity. This study may thus represent a basis for adopting peripheral arterial stiffness as an objective pain evaluation metric.

Background: Achieving clear visibility through a windshield is one of the crucial factors in manufacturing a safe and comfortable vehicle. The optic flow (OF) through the windshield has been reported to divert attention and could impair visibility. Although a growing number of behavioral and neuroimaging studies have assessed drivers' attention in various driving scenarios, there is still little evidence of a relationship between OF, windshield shape, and driver's attentional efficacy. The purpose of this research was to examine this relationship. Methods: First, we quantified the OF across the windshield in a simulated driving scenario with either of two types of the windshield (a tilted or vertical pillar) at different speeds (60 km/h or 160 km/h) and found more upward OF along the tilted pillar than along the vertical pillar. Therefore, we hypothesized that the predominance of upward OF around the windshield along a tilted pillar could distract a driver and that we could observe the corresponding neural activity. Magnetic resonance scans were then obtained while the subjects performed a visual detection task while watching the driving scene used in the OF analysis. The subjects were required to press a button as rapidly as possible when a target appeared at one of five positions (leftmost, left, center, right, and rightmost). Results: We found that the reaction time (RT) on exposure to a tilted pillar was longer than that on exposure to a vertical pillar in the leftmost and rightmost conditions. Furthermore, there was more brain activity in the precuneus when the pillar was tilted than when it was vertical in the rightmost condition near the pillar. In a separate analysis, activation in the precuneus was found to reflect relative changes in the amount of upward OF when the target was at the rightmost position. Conclusions: Overall, these observations suggest that activation in the precuneus may reflect extraneous cognitive load driven by upward OF along the pillar and could distract visual attention. The findings of this study highlight the value of a cognitive neuroscientific approach to research and development in the motor vehicle manufacturing industry.

Objective. Multiple facets of human emotion underlie diverse and sparse neural mechanisms. Among the many existing models of emotion, the two-dimensional circumplex model of emotion is an important theory. The use of the circumplex model allows us to model variable aspects of emotion; however, such momentary expressions of one’s internal mental state still lacks a notion of the third dimension of time. Here, we report an exploratory attempt to build a three-axis model of human emotion to model our sense of anticipatory excitement, ‘Waku-Waku’ (in Japanese), in which people predictively code upcoming emotional events. Approach. Electroencephalography (EEG) data were recorded from 28 young adult participants while they mentalized upcoming emotional pictures. Three auditory tones were used as indicative cues, predicting the likelihood of the valence of an upcoming picture: positive, negative, or unknown. While seeing an image, the participants judged its emotional valence during the task and subsequently rated their subjective experiences on valence, arousal, expectation, and Waku-Waku immediately after the experiment. The collected EEG data were then analyzed to identify contributory neural signatures for each of the three axes. Main results. A three-axis model was built to quantify Waku-Waku. As expected, this model revealed the considerable contribution of the third dimension over the classical two-dimensional model. Distinctive EEG components were identified. Furthermore, a novel brain-emotion interface was proposed and validated within the scope of limitations. Significance. The proposed notion may shed new light on the theories of emotion and support multiplex dimensions of emotion. With the introduction of the cognitive domain for a brain-computer interface, we propose a novel brain-emotion interface. Limitations of the study and potential applications of this interface are discussed.

Using appropriate stimuli to evoke emotions is especially important for researching emotion. Psychologists have provided several standardized affective stimulus databases-such as the International Affective Picture System (IAPS) and the Nencki Affective Picture System (NAPS) as visual stimulus databases, as well as the International Affective Digitized Sounds (IADS) and the Montreal Affective Voices as auditory stimulus databases for emotional experiments. However, considering the limitations of the existing auditory stimulus database studies, research using auditory stimuli is relatively limited compared with the studies using visual stimuli. First, the number of sample sounds is limited, making it difficult to equate across emotional conditions and semantic categories. Second, some artificially created materials (music or human voice) may fail to accurately drive the intended emotional processes. Our principal aim was to expand existing auditory affective sample database to sufficiently cover natural sounds. We asked 207 participants to rate 935 sounds (including the sounds from the IADS-2) using the Self-Assessment Manikin (SAM) and three basic-emotion rating scales. The results showed that emotions in sounds can be distinguished on the affective rating scales, and the stability of the evaluations of sounds revealed that we have successfully provided a larger corpus of natural, emotionally evocative auditory stimuli, covering a wide range of semantic categories. Our expanded, standardized sound sample database may promote a wide range of research in auditory systems and the possible interactions with other sensory modalities, encouraging direct reliable comparisons of outcomes from different researchers in the field of psychology.

ObjectivesMultiple facets of human emotions underlie diverse and sparse neural mechanisms. Amongst many models of emotions, the circumplex model of emotion is one of a significant theory. The use of the circumplex model allows us to model variable aspects of emotion; however, such momentary expression of one’s internal mental state still lacks to consider another, the third dimension of time. Here, we report an exploratory attempt to build a three-axial model of human emotion to model our sense of anticipatory excitement, “Waku-Waku (in Japanese),” when people are predictively coding upcoming emotional events.ApproachElectroencephalography (EEG) was recorded from 28 young adult participants while they mentalized upcoming emotional pictures. Three auditory tones were used as indicative cues, predicting the likelihood of valence of an upcoming picture, either positive, negative, or unknown. While seeing an image, participants judged its emotional valence during the task, and subsequently rated their subjective experiences on valence, arousal, expectation, and Waku-Waku immediately after the experiment. The collected EEG data were then analyzed to identify contributory neural signatures for each of the three axes.Main ResultsA three axial model was built to quantify Waku-Waku. As was expected, this model revealed considerable contribution of the third dimension over the classical two-dimension model. Distinctive EEG components were identified. Furthermore, a novel brain-emotion interface is proposed and validated within the scope of limitations.SignificanceThe proposed notion may shed new light on the theories of emotion and supports multiplex dimensions of emotion. With an introduction of the cognitive domain for a brain-computer-interface, we propose a novel brain-emotion-interface. Limitations and potential applications are discussed.

This paper proposes an olfactory stimulation-biological response measurement system aiming for quantitative and objective evaluation the odor quality. The system calculates arterial stiffness index $\beta $ proposed by our group, the low frequency/high frequency (LF/HF), and heart rate (HR) during presenting odor stimuli. An experiment of olfactory sensory assessment using the proposed system is conducted. The experiment results showed that unpleasant odor increases arterial stiffness index $\beta $ and (LF/HF).

In this paper, we report a novel approach to automobile development based on the understanding of the brain mechanism. We aim to realize fun to drive applying the neuroscientific findings of affective states. There are few studies about it, therefore using newly developed experimental unit, we are examining participants' brain activity affected by the load of steering operation task in the MRI scanner. We focused on the brain activity while waiting to steer, assuming that it reflects participants' affective state in preparation of the upcoming steering task. We observed activations in the anterior cingulate and insular cortices comprising the salience network, which is one of the intrinsic brain networks and involved in preparation for an upcoming task. Intriguingly, when waiting for the steering task having larger reaction force, the anterior cingulate cortex, known to be related to anxiety, was more active. Moreover, waiting for the condition in which the steering had to be operated with only the non-dominant arm, the amygdala, known to be associated with negative emotion, was significantly activated. Thus, our results newly show that the steering reaction force and the hand used for steering operation may influence brain activity while waiting for the upcoming steering task.

Depression has various symptoms, such as depressed mood or loss of motivation, and the pathophysiological mechanisms remain unclear. Recent studies have increased the understanding of the role of the habenula, since the habenula is reported to control the metabolism of monoamine neurotransmitters in the brain through direct projections to the ventral tegmental area and raphe nucleus. Human neuroimaging studies have been performed to attempt to clarify the mechanisms of depression. This manuscript mainly introduces human neuroimaging studies of the role of the habenula in depression.

Active exploration of views of 3-D objects by manually controlling a device, such as a trackball, facilitates subsequent object recognition, suggesting that motor simulation contributes to object recognition. Further, biomechanical constraints, such as range of hand rotation, can affect mental rotation. Thus, the ease with which an object can be rotated by hand may modulate the facilitative effect active exploration through manual control has on object recognition. In our experiment, participants performed two sessions of a view-matching task, with a learning task administered between the two. In the learning task, one group of participants (active group) viewed and explored a novel 3-D object using their hand to rotate a handle attached to a cathode-ray tube monitor. The other group (passive group) observed on the monitor a replay of the movements of the 3-D object as manipulated by an active-group participant. Active-group participants were interviewed to determine the direction they found easiest to rotate their hand. The view-generalization performances were compared between the pre and post sessions. Although we observed a facilitative effect on the view-matching process in both groups, the active group exhibited view-dependent facilitation. The view-generalization range of the active group in the post-session was asymmetric in terms of the rotation direction. Most intriguingly, for most participants, this asymmetric change corresponded to the direction that afforded the easiest hand rotation (ulnar deviation). These findings suggest that the object-recognition process can be affected by ease of hand rotation, which is based on the biomechanical constraints of the wrist joint.

Previous studies have suggested that the posterior parietal cortices and premotor areas are involved in mental image transformation. However, it remains unknown whether these regions really cooperate to realize mental image transformation. In this study, simultaneous EEG and fMRI were performed to clarify the spatio-temporal properties of neural networks engaged in mental image transformation. We adopted a modified version of the mental clock task used by Sack et al. [Sack, A. T., Camprodon, J. A., Pascual-Leone, A., & Goebel, R. The dynamics of interhemispheric compensatory processes in mental imagery. Science, 308, 702–704, 2005; Sack, A. T., Sperling, J. M., Prvulovic, D., Formisano, E., Goebel, R., Di Salle, F., et al. Tracking the mind's image in the brain II: Transcranial magnetic stimulation reveals parietal asymmetry in visuospatial imagery. Neuron, 35, 195–204, 2002]. In the modified mental clock task, participants mentally rotated clock hands from the position initially presented at a learned speed for various durations. Subsequently, they matched the position to the visually presented clock hands. During mental rotation of the clock hands, we observed significant beta EEG suppression with respect to the amount of mental rotation at the right parietal electrode. The beta EEG suppression accompanied activity in the bilateral parietal cortices and left premotor cortex, representing a dynamic cortical network for mental image transformation. These results suggest that motor signals from the premotor area were utilized for mental image transformation in the parietal areas and for updating the imagined clock hands represented in the right posterior parietal cortex.

In clinical practice, subjective pain evaluations, e.g., the visual analogue scale and the numeric rating scale, are generally employed, but these are limited in terms of their ability to detect inaccurate reports, and are unsuitable for use in anesthetized patients or those with dementia. We focused on the peripheral sympathetic nerve activity that responds to pain, and propose a method for evaluating pain sensation, including intensity, sharpness, and dullness, using the arterial stiffness index. In the experiment, electrocardiogram, blood pressure, and photoplethysmograms were obtained, and an arterial viscoelastic model was applied to estimate arterial stiffness. The relationships among the stiffness index, self-reported pain sensation, and electrocutaneous stimuli were examined and modelled. The relationship between the stiffness index and pain sensation could be modelled using a sigmoid function with high determination coefficients, where R2 ≥ 0.88, p, This work was supported by the Center of Innovation Program from Japan Science and Technology Agency., Supplementary information accompanies this paper at https://doi.org/10.1038/s41598-018-21223-1.