Accepting Things as They Are: Dispositional Mindfulness, Decentering, Self-Compassion, and the Impact of Stuttering on Adults Who Stutter

PURPOSE

Mindfulness is defined as intentional, present-moment, nonjudgmental awareness. Previous studies have proposed that mindfulness practice may benefit people who stutter. This study aimed to test the relationship between levels of dispositional mindfulness in people who stutter and the impact of stuttering and whether self-compassion and the metacognitive ability of shifting to an objective perspective (decentering) mediate this relationship. It is hypothesized that greater dispositional mindfulness is associated with attenuated negative impact of stuttering on a person's life through a higher capability to shift into an objective and compassionate perspective.

METHOD

A total of 150 Israeli adults who stutter completed a full online survey in Hebrew to assess their levels of dispositional mindfulness, self-compassion, decentering capability, and impact of stuttering on their lives. The relationships between constructs were assessed using Pearson's correlation and mediation analysis.

RESULTS

The adverse impact of stuttering was negatively and moderately associated with dispositional mindfulness, such that individuals with greater self-reported dispositional mindfulness reported fewer reactions to stuttering, difficulty in communication, and higher quality of life. This relationship was fully and sequentially mediated via decentering and self-compassion, which were also negatively and moderately associated with the impact of stuttering.

CONCLUSIONS

People who stutter with greater dispositional mindfulness have an increased ability to view their experiences in a more objective and compassionate manner, which is associated with an attenuated impact of stuttering on their lives. As these capabilities can be cultivated through practice, this study proposes mindfulness practice as an additional beneficial tool for people who stutter.

The moderating role of attachment in the association between physiological synchrony in married couples and supportive behavior in the transition to parenthood

Despite supportive behaviors playing a central role in intimate relationships, the extent to which physiological and psychological factors are involved in the quality of the observed spousal support, remains largely unknown. From a physiological stance, cardiac synchrony has been identified as an important component involved in dyadic interpersonal interactions. This study aims to examine whether individual differences in attachment determine, at least to some extent, whether cardiac synchrony enhances or impedes the quality of the observed spousal support. Specifically, this study examines whether attachment style moderates the biobehavioral link between positive cardiac synchrony and observed spousal support. A total of 58 couples expecting their first child participated in a supportive interaction while their cardiovascular responses were recorded, and the quality of their caregiving behaviors was coded. Results indicated that couples' cardiovascular dynamics were synchronized during the supportive interaction. Furthermore, attachment moderated the association between positive cardiac synchrony and the behavioral manifestation of support, such that cardiac synchrony was negatively associated with the quality of support when offered by caregivers with higher scores of attachment anxiety. Our findings show that for those caregivers who have higher levels of anxious attachment-being synchronized with their care seeking spouses is associated with difficulties in providing effective support. We discuss these findings in the context of the emotion regulation difficulties characteristic of anxious attachment patterns. These findings suggest that future work could benefit from performing comprehensive studies that consider physiological, behavioral, and psychological constructs simultaneously.

From Oxytocin to Compassion: The Saliency of Distress

Compassion is a warm response of care and concern for those who are suffering, which drives individuals to devote their resources for the sake of others. A prominent neuroevolutionary framework grounds compassion in the neurobiology of the mammalian caregiving system. Accordingly, it has been suggested that the oxytocinergic system, which plays a central role in parental caregiving and bonding, provides the neurobiological foundation for compassion towards strangers. Yet, the specific role of oxytocin in compassion is far from clear. The current paper aims to target this gap and offer a theoretical framework that integrates the state-of-the-art literature on oxytocin with research on compassion. We suggest that oxytocin mediates compassion by enhancing the saliency of cues of pain and distress and discuss the plausible underlying neurobiological substrates. We further demonstrate how the proposed framework can account for individual differences in compassion, focusing on the effects of attachment on caregiving and support. The proposed framework integrates the current scientific understanding of oxytocin function with compassion-related processes. It thus highlights the largely ignored attentional processes in compassion and taps into the vast variability of responses in social contexts involving pain and suffering.

Integrating mind and body: Investigating differential activation of nodes of the default mode network

BACKGROUND

The default mode network (DMN) is a large-scale brain network tightly correlated with self and self-referential processing, activated by intrinsic tasks and deactivated by externally-directed tasks.

OBJECTIVE

In this study, we aim to investigate the novel approach of default mode activation during progressive muscle relaxation and examine whether differential activation patterns result from the movement of different body parts.

METHODS

We employed neuroimaging to investigate DMN activity during simple body movements, while performing progressive muscle relaxation. We focused on differentiating the neural response between facial movements and movements of other body parts.

RESULTS

Our results show that the movement of different body parts led to deactivation in several DMN nodes, namely the temporal poles, hippocampus, medial prefrontal cortex (mPFC), and posterior cingulate cortex. However, facial movement induced an inverted and selective positive BOLD pattern in some of these areas precisely. Moreover, areas in the temporal poles selective for face movement showed functional connectivity not only with the hippocampus and mPFC but also with the nucleus accumbens.

CONCLUSIONS

Our findings suggest that both conceptual and embodied self-related processes, including body movements during progressive muscle relaxation, may be mapped onto shared brain networks. This could enhance our understanding of how practices like PMR influence DMN activity and potentially offer insights to inform therapeutic strategies that rely on mindful body movements.

Steady-state visual evoked potentials differentiate between internally and externally directed attention

While attention to external visual stimuli has been extensively studied, attention directed internally towards mental contents (e.g., thoughts, memories) or bodily signals (e.g., breathing, heartbeat) has only recently become a subject of increased interest, due to its relation to interoception, contemplative practices and mental health. The present study aimed at expanding the methodological toolbox for studying internal attention, by examining for the first time whether the steady-state visual evoked potential (ssVEP), a well-established measure of attention, can differentiate between internally and externally directed attention. To this end, we designed a task in which flickering dots were used to generate ssVEPs, and instructed participants to count visual targets (external attention condition) or their heartbeats (internal attention condition). We compared the ssVEP responses between conditions, along with alpha-band activity and the heartbeat evoked potential (HEP) - two electrophysiological measures associated with internally directed attention. Consistent with our hypotheses, we found that both the magnitude and the phase synchronization of the ssVEP decreased when attention was directed internally, suggesting that ssVEP measures are able to differentiate between internal and external attention. Additionally, and in line with previous findings, we found larger suppression of parieto-occipital alpha-band activity and an increase of the HEP amplitude in the internal attention condition. Furthermore, we found a trade-off between changes in ssVEP response and changes in HEP and alpha-band activity: when shifting from internal to external attention, increase in ssVEP response was related to a decrease in parieto-occipital alpha-band activity and HEP amplitudes. These findings suggest that shifting between external and internal directed attention prompts a re-allocation of limited processing resources that are shared between external sensory and interoceptive processing.

Mindfulness-Based Stress Reduction Increases Mental Wellbeing and Emotion Regulation During the First Wave of the COVID-19 Pandemic: A Synchronous Online Intervention Study

The COVID-19 pandemic imposed extreme living conditions of social distancing, which triggered negative mental health problems and created challenges in seeking mental health support. Mindfulness-based interventions (MBIs) have been found to enhance wellbeing and mental health by reducing stress and anxiety and improving emotion regulation. Preliminary evidence suggests that online, synchronous MBIs may produce beneficial effects similar to face-to-face programs. However, the effectiveness of such online-MBIs to support mental health in highly stressful times, such as a global pandemic, requires further study. To this end, we investigated the effect of an online 8-week Mindfulness-Based Stress Reduction (MBSR) program on aspects of mental health during the first wave of the COVID-19 pandemic. Participants (N=92) who expressed interest in discounted online-MBSR programs were recruited for the study. The division into experimental and control groups was based on actual enrollment to the courses. Those who enrolled in a program were assigned to the experimental condition and those who decided not to enroll served as controls. Participants were assessed pre-intervention, post-intervention, and 1-month post-intervention for levels of mindfulness, perceived stress, anxiety, emotion regulation, and intolerance of uncertainty. Differences between the groups were tested using the general linear mixed effects model (GLMM) and Individual Growth Curve Models (IGCM) in intent to treat analysis. The findings indicated that, relative to the control group, MBSR improved mindfulness abilities (p <0.001), decreased anxiety (p <0.001), and stress (p <0.001) and increased emotion regulation (p <0.001). These effects were found to persist 1 month after the end of the program, despite the increased governmental public-health restrictions due to COVID-19 at that time. The ability to tolerate uncertainty, a central characteristic of the pandemic, was not found to be affected by the program. A mediation analysis revealed that the effect of the intervention on mental health improvement was partially mediated by the improvement in emotion regulation. Overall, the findings provide positive evidence for the feasibility of an online-MBSR program to support the mental health of individuals from the general population through the mediation of emotion regulation in challenging times, such as a global pandemic.

The Mindfulness Map: A Practical Classification Framework of Mindfulness Practices, Associated Intentions, and Experiential Understandings

When considering the numerous mindfulness-based and mindfulness-informed programs that have flourished in the past decades it is not always clear that they all refer to the same “mindfulness. ” To facilitate more clarity and precision in describing, researching and teaching mindfulness in the secular settings, we propose a classification framework of mindfulness practices, intentions behind them and the experiential understandings the practices may aim to develop. Accordingly, the proposed framework, called the Mindfulness Map, has two axes. The first axis outlines mindfulness practices (and associated instructions) classified into four groups (MGs), e.g. the MG1 focuses on cultivating attention to the present moment somatic and sensory experience while the MG4 focuses on cultivating the ability to recognize and deconstruct perceptual, cognitive and emotional experiences and biases. The second axis outlines possible intentions (INTs) to cultivate particular experiential understanding (EU) via teaching and practicing the MGs, e.g., the INT1 designates the intention to gain EU of how our relationship to experience contributes to wellbeing, the INT2 refers to the intention to gain EU of the changing nature of body, mind and external phenomenon. We suggest that the same MG can lead to different EUs outcomes based on the specific INTs applied in their teaching or practice. The range of INTs and EUs included here is not exhaustive, there are further types the Map could be expanded toward. Aside from encouraging more fine-grained distinctions of mindfulness practices, the proposed Map aims to open discussions about interactions between MGs, INTs, EUs and practice outcomes. The Map may facilitate more nuanced and precise approaches to researching the range of outcomes cultivated by mindfulness practices, help bridge contradictory findings, and catalyze further debate and research into ethical aspects of mindfulness. The Map also highlights the need for further teaching development and research on longer-term trajectories of mindfulness practice. While the proposed Mindfulness Map organises the mindfulness practice territory along two axes, it is aimed as a starting point for further discussion and can be further revised and/or expanded by other axes.

The Effects of Mindfulness-Based Stress Reduction on the Association Between Autonomic Interoceptive Signals and Emotion Regulation Selection

OBJECTIVE

The ability to select the most adaptive regulatory strategy as a function of the emotional context plays a pivotal role in psychological health. Recently, we showed that mindfulness-based interventions (MBIs) can improve the sensitivity of regulatory strategy selection to emotional intensity. However, the mechanisms underlying this improvement are unclear. In this study, we tested the hypothesis that MBIs support adaptive regulatory selection by increasing sensitivity to interoceptive signals associated with the emotional stimuli.

METHODS

Participants (n = 84, mean [standard deviation {SD}] age = 30.9 [8.3] years; 54% women) were randomized to either a mindfulness-based stress reduction (MBSR) program or a wait-list control condition. Before and after the MBSR program, physiological measures for autonomic nervous system activity were obtained, and participants performed a task examining emotion regulation selections (reappraisal versus distraction) when confronted with low or high negative intensity images. They also completed a battery of mindfulness, interoception, and well-being self-report measures. A cross-classified model was used for the main analyses.

RESULTS

The participants assigned to the MBSR were overall more likely to choose reappraisal than distraction (b = 0.26, posterior SD = 0.13, 95confidence interval = 0.02-0.52) after the program. Interoceptive signals in response to negative images were associated with subsequent regulatory selections (b = 0.02, posterior SD = 0.01, 95% confidence interval = 0.01-0.03) in the MBSR group. Specifically, lower cardiac reactivity was associated with the choice to reappraise, whereas higher cardiac reactivity was related to the choice to distract. Greater differences in cardiac reactivity between states that prompt reappraisal and states that prompt distraction were associated with higher well-being (Satisfaction With Life Scale, Pearson r (29) = 0.527, p = .003).

CONCLUSIONS

Mindfulness seems to increase the sensitivity of regulatory selections to interoceptive signals, and this is associated with subjective well-being. This may be a central pathway through which MBIs exert their positive effects on mental health and resilience.

Synchrony with distress in affective empathy and compassion

Sensitivity to suffering of others is a core factor in social cohesion and evolutionary success. The emergence of such sensitivity may occur via two neuro-functional mechanisms. One is sharing the pain and distress of others, which relies on affective empathy. The other involves a caring concern for others' wellbeing, termed compassion. Both affective empathy and compassion are triggered by cues of pain and distress, exhibited by suffering targets. Yet, the mechanisms underlying distress processing in empathy and compassion are not clear. In the current research, we investigated synchrony with a target's distress, as a putative mechanism for continuous processing of distress cues. Participants viewed a video of a target in distress when given two different instructions: they were asked to continuously rate their distress in the affective empathy condition, or their feelings of care in the compassion condition. We used these dynamic ratings as well as participants' autonomic and facial responses to assess multi-channel synchrony with the target's self-rated distress fluctuations. Dynamic ratings and facial corrugator responses were significantly positively synchronized with the target's distress. For the corrugator responses, synchrony with the target was more pronounced than synchrony with participants' own ratings. Autonomic responses exhibited negative synchrony with the target's distress. Synchrony was higher in the affective empathy than in the compassion condition, across channels. These results point to the key role of subjective and physiological synchrony with the target's distress in empathic sharing of negative experiences. They also highlight the attenuation of embodied resonance with distress in compassionate experiences.

A Contemplative Biofeedback Intervention for Adults with Autism Spectrum Disorder: Feasibility of a Community-Based Treatment

As the number of diagnosed adults living with autism spectrum disorder (ASD) continues to grow, a lack of resources and lack of available interventions exacerbate their low quality of life, including low levels of education and employment, and high levels of co-morbid anxiety and depression. Here we build upon existing research showing the effectiveness of contemplative interventions on individuals with ASD, to provide a low-cost biofeedback-enhanced training which can be implemented by non-professional staff, and may help autistic individuals grasp abstract contemplative techniques. We hypothesize that the intervention will decrease participants' anxiety and autism symptoms, and increase their self-awareness, self-determination, and empathy. Fourteen adults with ASD, residing in assisted living, were provided with 16 weekly half-hour contemplative-biofeedback sessions with non-professional trainers, in which they learned to reduce their arousal levels through combined biofeedback and contemplative techniques, and apply those to everyday life. Quantitative and qualitative data was collected pre- and post-intervention, to determine changes in participants' self-awareness, self-determination, anxiety, autism symptoms, and empathy. Participants were capable of successfully improving their physiological arousal levels on the biofeedback setup, indicating feasibility of the technique. Further, we found initial indications for reduction in autism symptoms and increased self-determination. Qualitative reports by participants and counselors revealed that participants applied the techniques in many real-life situations, and these had far-ranging effects on their emotional regulation, work and social motivation, and self-determination. The study provides proof-of-concept for a low-cost, community-based intervention which can ameliorate the lives of adults with ASD.

The interactive effects of test-retest and methylphenidate administration on cognitive performance in youth with ADHD: A double-blind placebo-controlled crossover study

Studies have shown that Methylphenidate (MPH) affects cognitive performance on the neuropsychological tests and clinical symptoms of individuals diagnosed with attention deficit/hyperactivity disorder (ADHD). This study investigated the acute effects of MPH on neuropsychological tests to explore the interaction between MPH and test-retest effects. Twenty youths with ADHD were tested before and after MPH intake in a double-blind placebo-controlled crossover design and compared to twenty matched controls. Participants were tested on a range of standardized tasks including sustained attention to response, N-Back, and Word/Color Stroop. Identical tasks were administered twice each testing day, before and 1 hour after MPH/Placebo administration. Healthy controls were tested similarly with no intervention. Decreases in response time (RT) variability across tasks and in commission errors were found in ADHD after MPH. Conversely, a significant increase in RT variability and increase in omission errors were observed after the placebo. In the control group, RT variability and omission errors increased whereas commission errors decreased, suggesting fatigue and practice effects, respectively. Test-retest reliability was higher in controls than ADHD. It is suggested that cognitive tests are sensitive objective measures for the assessment of responses to MPH in ADHD but are also affected by repetition and fatigue.

Phase-Amplitude Markers of Synchrony and Noise: A Resting-State and TMS-EEG Study of Schizophrenia

The electroencephalogram (EEG) of schizophrenia patients is known to exhibit a reduction of signal-to-noise ratio and of phase locking, as well as a facilitation of excitability, in response to a variety of external stimuli. Here, we demonstrate these effects in transcranial magnetic stimulation (TMS)-evoked potentials and in the resting-state EEG. To ensure veracity, we used 3 weekly sessions and analyzed both resting-state and TMS-EEG data. For the TMS responses, our analysis verifies known results. For the resting state, we introduce the methodology of mean-normalized variation to the EEG analysis (quartile-based coefficient of variation), which allows for a comparison of narrow-band EEG amplitude fluctuations to narrow-band Gaussian noise. This reveals that amplitude fluctuations in the delta, alpha, and beta bands of healthy controls are different from those in schizophrenia patients, on time scales of tens of seconds. We conclude that the EEG-measured cortical activity patterns of schizophrenia patients are more similar to noise, both in alpha- and beta-resting state and in TMS responses. Our results suggest that the ability of neuronal populations to form stable, locally, and temporally correlated activity is reduced in schizophrenia, a conclusion, that is, in accord with previous experiments on TMS-EEG and on resting-state EEG.

The association between mothers' and daughters' positive affect is moderated by child cardiac vagal regulation

INTRODUCTION

Extensive research has supported the importance of children's positive affect in fostering prosperous psychosocial adjustment. Children's positive affect is believed to be significantly shaped by their environment in general and their caregivers' positive affect in particular. The current study investigates the role of child cardiac vagal regulation, a psychophysiological marker for social engagement, in shaping the association between maternal positive affect and child positive affect.

METHODS

Mothers and daughters (n_dyads  = 28) participated in two experimental conditions. In the non-interactive condition, they separately drew a picture without interacting. In the cooperative condition, they drew a picture together. We measured child respiratory sinus arrhythmia (RSA), a widely used indicator of cardiac vagal regulation, during both conditions. We also coded maternal and child positive affect during the cooperative condition.

RESULTS

Maternal positive affect was related to child positive affect, but only for children with medium-to-high tonic levels of RSA and RSA increases from non-interaction to interaction.

DISCUSSION

Results suggest that child RSA plays a significant role in positive emotion socialization, by making children more susceptible to the emotional cues of their caregivers. Hence, child RSA should be taken into account in preventive and therapeutic efforts regarding child positive affect socialization.

Sleepless and desynchronized: Impaired inter trial phase coherence of steady-state potentials following sleep deprivation

Sleep loss has detrimental effects on cognitive and emotional functioning. These impairments have been associated with alterations in EEG measures of power spectrum and event-related potentials, however the impact of sleep loss on inter trial phase coherence (ITPC), a measure of phase consistency over experimental trials, remains mostly unknown. ITPC is thought to reflect the ability of the neural response to temporally synchronize with relevant events, thus optimizing information processing. In the current study we investigated the effects of sleep deprivation on information processing by evaluating the phase consistency of steady-state visual evoked potentials (ssVEPs) as well as amplitude-based measures of ssVEPs, obtained from a group of 18 healthy individuals following 24 h of total sleep deprivation and after a night of habitual sleep. An ssVEP task was utilized, which included the presentation of dots flickering at 7.5 Hz, along with a cognitive-emotional task. Our results show that ITPC is significantly reduced under sleep deprivation relative to habitual sleep. Interestingly, decreased ITPC under sleep deprivation was associated with decreased behavioral performance in the psychomotor vigilance task (PVT), a validated measure of reduced vigilance following a lack of sleep. The results suggest that the capability of the brain to synchronize with rhythmic stimuli is disrupted without sleep. Thus, decreased ITPC may represent an objective and mechanistic measure of sleep loss, allowing future work to study the relation between brain-world synchrony and the specific functional impairments associated with sleep deprivation.

Effects of methylphenidate on the ERP amplitude in youth with ADHD: A double-blind placebo-controlled cross-over EEG study

Methylphenidate (MPH) is a first line drug for attention-deficit/hyperactivity disorder (ADHD), yet the neuronal mechanisms underlying the condition and the treatment are still not fully understood. Previous EEG studies on the effect of MPH in ADHD found changes in evoked response potential (ERP) components that were inconsistent between studies. These inconsistencies highlight the need for a well-designed study which includes multiple baseline sessions and controls for possible fatigue, learning effects and between-days variability. To this end, we employ a double-blind placebo-controlled cross-over study and explore the effect of MPH on the ERP response of subjects with ADHD during a Go/No-Go cognitive task. Our ERP analysis revealed significant differences in ADHD subjects between the placebo and MPH conditions in the frontal-parietal region at 250ms-400ms post stimulus (P3). Additionally, a decrease in the late 650ms-800ms ERP component (LC) is observed in frontal electrodes of ADHD subjects compared to controls. The standard deviation of response time of ADHD subjects was significantly smaller in the MPH condition compared to placebo and correlated with the increased P3 ERP response in the frontoparietal electrodes. We suggest that mental fatigue plays a role in the decrease of the P3 response in the placebo condition compared to pre-placebo, a phenomenon that is significant in ADHD subjects but not in controls, and which is interestingly rectified by MPH.

Electroencephalography Functional Networks Reveal Global Effects of Methylphenidate in Youth with Attention Deficit/Hyperactivity Disorder

Methylphenidate (MPH) is the leading drug for treatment of attention deficit/hyperactivity disorder (ADHD), yet its underlying neuronal mechanisms are still unclear. Here, we use a dynamical brain networks approach to explore the effects of cognitive effort and MPH on ADHD subjects. Electroencephalography data were recorded from 19 ADHD subjects and 18 controls during a Go/No-Go Task. ADHD subjects completed the task twice a day over 2 days. The second session was administered post-ingestion of placebo/MPH (alternately). Controls performed two tasks in 1 day. The data were divided into 300 ms windows from -300 pre-stimulus until 1200 ms post-stimulus. Brain networks were constructed per subject and window, from which network metrics were extracted and compared across the experimental conditions. We identified an immediate shift of global connectivity and of network segregation after the stimulus for both groups, followed by a gradual return to baseline. Decreased global connectivity was found to be 400-700 ms post-stimulus in ADHD compared with controls, and it was normalized post-MPH. An increase of the networks' segregation occurred post-placebo at 100-400 and 400-700 ms post-stimulus, yet it was inhibited post-MPH. These global alterations resulted mainly from changes in task-relevant frontal and parietal regions. The networks of medicated ADHD subjects and controls exhibited a more significant and lasting change, relative to baseline, compared with those of nonmedicated ADHD. These results suggest impaired network flexibility in ADHD, corrected by MPH.

An eight-week mindfulness-based stress reduction (MBSR) workshop increases regulatory choice flexibility

Individuals encounter a variety of emotional challenges daily, with optimal emotion modulation requiring adaptive choice among available means of regulation. However, individuals differ in the ability to flexibly and adaptively move between engaging and disengaging emotion regulation (ER) strategies as per contextual demands, referred to as regulatory choice flexibility. Greater regulatory choice flexibility is associated with greater mental health, well-being and resilience, warranting the development of interventions to increase such flexibility. We hypothesized that a mindfulness-based stress reduction (MBSR) program would fulfill this goal. To test our hypothesis, we recruited college students to either participate in an 8-week MBSR workshop or join a waiting list for a later workshop (i.e., control participants). After the workshop's completion, all participants were invited to the laboratory and completed several computerized tasks examining their regulatory choice flexibility when exposed to universally emotion-laden stimuli as well as stimuli specifically related to the students' social and political environment. The regulatory choice patterns of participants who underwent MBSR training were found to be more flexible than those of participants who had not yet completed the workshop, with the former more likely than the latter to favor an engaging ER strategy (i.e., reappraisal) when faced with low-intensity stimuli and a disengaging strategy (i.e., distraction) when faced with high-intensity stimuli. The findings' importance is discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Neural dynamics underlying emotional transmissions between individuals

Emotional experiences are frequently shaped by the emotional responses of co-present others. Research has shown that people constantly monitor and adapt to the incoming social–emotional signals, even without face-to-face interaction. And yet, the neural processes underlying such emotional transmissions have not been directly studied. Here, we investigated how the human brain processes emotional cues which arrive from another, co-attending individual. We presented continuous emotional feedback to participants who viewed a movie in the scanner. Participants in the social group (but not in the control group) believed that the feedback was coming from another person who was co-viewing the same movie. We found that social–emotional feedback significantly affected the neural dynamics both in the core affect and in the medial pre-frontal regions. Specifically, the response time-courses in those regions exhibited increased similarity across recipients and increased neural alignment with the timeline of the feedback in the social compared with control group. Taken in conjunction with previous research, this study suggests that emotional cues from others shape the neural dynamics across the whole neural continuum of emotional processing in the brain. Moreover, it demonstrates that interpersonal neural alignment can serve as a neural mechanism through which affective information is conveyed between individuals.

Hierarchy measurement for modeling network dynamics under directed attacks

A fundamental issue in the dynamics of complex systems is the resilience of the network in response to targeted attacks. This paper explores the local dynamics of the network attack process by investigating the order of removal of the nodes that have maximal degree, and shows that this dynamic network response can be predicted from the graph's initial connectivity. We demonstrate numerically that the maximal degree M(τ) of the network at time step τ decays exponentially with τ via a topology-dependent exponent. Moreover, the order in which sites are removed can be approximated by considering the network's "hierarchy" function h, which measures for each node V_{i} how many of its initial nearest neighbors have lower degree versus those that have a higher one. Finally, we show that the exponents we identified for the attack dynamics are related to the exponential behavior of spreading activation dynamics. The results suggest that the function h, which has both local and global properties, is a novel nodal measurement for network dynamics and structure.

Patterns of Joint Improvisation in Adults with Autism Spectrum Disorder

Recent research on autism spectrum disorders (ASDs) suggests that individuals with autism may have a basic deficit in synchronizing with others, and that this difficulty may lead to more complex social and communicative deficits. Here, we examined synchronization during an open-ended joint improvisation (JI) paradigm, called the mirror game (MG). In the MG, two players take turns leading, following, and jointly improvising motion using two handles set on parallel tracks, while their motion tracks are recorded with high temporal and spatial resolution. A series of previous studies have shown that players in the MG attain moments of highly synchronized co-confident (CC) motion, in which there is no typical kinematic pattern of leader and reactive follower. It has been suggested that during these moments players act as a coupled unit and feel high levels of connectedness. Here, we aimed to assess whether participants with ASD are capable of attaining CC, and whether their MG performance relates to broader motor and social skills. We found that participants with ASD (n = 34) can indeed attain CC moments when playing with an expert improviser, though their performance was attenuated in several ways, compared to typically developing (TD) participants (n = 35). Specifically, ASD participants had lower rates of CC, compared with TD participants, which was most pronounced during the following rounds. In addition, the duration of their CC segments was shorter, across all rounds. When controlling for participants' motor skills (both on the MG console, and more broadly) some of the variability in MG performance was explained, but group differences remained. ASD participants' alexithymia further correlated with their difficulty following another's lead; though other social skills did not relate to MG performance. Participants' subjective reports of the game suggest that other cognitive and emotional factors, such as attention, motivation, and reward-processing, which were not directly measured in the experiment, may impact their performance. Together, these results show that ASD participants can attain moments of high motor synchronization with an expert improviser, even during an open-ended task. Future studies should examine the ways in which these skills may be further harnessed in clinical settings.

The Mere Co-Presence: Synchronization of Autonomic Signals and Emotional Responses across Co-Present Individuals Not Engaged in Direct Interaction

Existing evidence suggests that in social contexts individuals become coupled in their emotions and behaviors. Furthermore, recent biological studies demonstrate that the physiological signals of interacting individuals become coupled as well, exhibiting temporally synchronized response patterns. However, it is yet unknown whether people can shape each other's responses without the direct, face-to-face interaction. Here we investigated whether the convergence of physiological and emotional states can occur among "merely co-present" individuals, without direct interactional exchanges. To this end, we measured continuous autonomic signals and collected emotional responses of participants who watched emotional movies together, seated side-by-side. We found that the autonomic signals of co-present participants were idiosyncratically synchronized and that the degree of this synchronization was correlated with the convergence of their emotional responses. These findings suggest that moment-to-moment emotional transmissions, resulting in shared emotional experiences, can occur in the absence of direct communication and are mediated by autonomic synchronization.

A wait-list randomized controlled trial of loving-kindness meditation programme for self-criticism

Self-criticism is a vulnerability risk factor for a number of psychological disorders, and it predicts poor response to psychological and pharmacological treatments. In the current study, we evaluated the efficacy of a loving-kindness meditation (LKM) programme designed to increase self-compassion in a sample of self-critical individuals. Thirty-eight individuals with high scores on the self-critical perfectionism subscale of the Dysfunctional Attitude Scale were randomized to an LKM condition (n = 19) or a wait-list (WL) condition (n = 19). Measures of self-criticism, self-compassion and psychological distress were administered before and immediately following the intervention (LKM or WL). WL participants received the intervention immediately after the waiting period. Both groups were assessed 3 months post-intervention. Intent-to-treat (n = 38) and per-protocol analyses (n = 32) showed significant reductions in self-criticism and depressive symptoms as well as significant increases in self-compassion and positive emotions in the LKM condition compared with the WL condition. A follow-up per-protocol analysis in both groups together (n = 20) showed that these gains were maintained 3 months after the intervention. These preliminary results suggest that LKM may be efficacious in alleviating self-criticism, increasing self-compassion and improving depressive symptoms among self-critical individuals.

KEY PRACTITIONER MESSAGE

Self-criticism plays a major role in many psychological disorders and predicts poor response to brief psychological and pharmacological treatments for depression. The current study shows that loving-kindness meditation, designed to foster self-compassion, is efficacious in helping self-critical individuals become less self-critical and more self-compassionate. The study also suggests that practising loving-kindness may reduce depressive symptoms and increase positive emotions.

Sensory and motor secondary symptoms as indicators of brain vulnerability

In addition to the primary symptoms that distinguish one disorder from the next, clinicians have identified, yet largely overlooked, another set of symptoms that appear across many disorders, termed secondary symptoms. In the emerging era of systems neuroscience, which highlights that many disorders share common deficits in global network features, the nonspecific nature of secondary symptoms should attract attention. Herein we provide a scholarly review of the literature on a subset of secondary symptoms––sensory and motor. We demonstrate that their pattern of appearance––across a wide range of psychopathologies, much before the full-blown disorder appears, and in healthy individuals who display a variety of negative symptoms––resembles the pattern of appearance of network abnormalities. We propose that sensory and motor secondary symptoms can be important indicators of underlying network aberrations and thus of vulnerable brain states putting individuals at risk for psychopathology following extreme circumstances.

Finding behavioral and network indicators of brain vulnerability

Resilience research has usually focused on identifying protective factors associated with specific stress conditions (e.g., war, trauma) or psychopathologies (e.g., post-traumatic stress disorder [PTSD]). Implicit in this research is the concept that resilience is a global construct, invariant to the unfavorable circumstances or the psychopathologies that may develop (i.e., the mechanisms underlying the resilience of an individual in all cases are expected to be similar). Here we contribute to the understanding of resilience—and its counterpart, vulnerability—by employing an approach that makes use of this invariant quality. We outline two main characteristics that we would expect from indicators of a vulnerable state: that they should appear across disorders regardless of specific circumstances, and that they should appear much before the disorder is evident. Next, we identify two sets of factors that exhibit this pattern of association with psychopathological states. The first was a set of “low-level” sensory, motor and regulatory irregularities that have been reported across the clinical literature; we suggest that these can serve as behavioral indicators of a vulnerable state. The second was the set of aberrations in network metrics that have been reported in the field of systems neuroscience; we suggest that these can serve as network indicators of a vulnerable state. Finally, we explore how behavioral indicators may be related to network indicators and discuss the clinical and research-related implications of our work.

Neural representations of kinematic laws of motion: evidence for action-perception coupling

Behavioral and modeling studies have established that curved and drawing human hand movements obey the 2/3 power law, which dictates a strong coupling between movement curvature and velocity. Human motion perception seems to reflect this constraint. The functional MRI study reported here demonstrates that the brain's response to this law of motion is much stronger and more widespread than to other types of motion. Compliance with this law is reflected in the activation of a large network of brain areas subserving motor production, visual motion processing, and action observation functions. Hence, these results strongly support the notion of similar neural coding for motion perception and production. These findings suggest that cortical motion representations are optimally tuned to the kinematic and geometrical invariants characterizing biological actions.

Transcranial Magnetic Stimulation at M1 disrupts cognitive networks in schizophrenia

Transcranial Magnetic Stimulation (TMS) is rapidly gaining acceptance as a non-invasive probe into brain functionality. We utilize TMS to study the connectivity of a simple motor network in patients of schizophrenia (N=19), and in healthy control subjects (N=9). TMS was used in an externally paced finger tapping task, perturbing the internal network oscillations invoked by the finger motion as it keeps pace with a metronome. TMS perturbations were synchronized to the metronome and applied to the network at the level of the primary motor cortex (M1). Contrary to initial expectations, TMS did not affect the sensorimotor synchronization of subjects with schizophrenia or their tapping accuracy. TMS did cause extreme deviations in the finger's trajectory, and altered the timing perceptions of subjects with schizophrenia. Additionally, it invoked high-level deficiencies related to attention and volition in the form of lapses, implying that the connectivity between modules in the brain that underlie motor control, sensorimotor synchronization, timing perception and awareness of action, can be disrupted by TMS in subjects with schizophrenia, but not in healthy subjects. The ability to disrupt high level network functions with perturbations to the lower level of M1 supports models describing deficits in connectivity of distributed networks in the brains of schizophrenia patients. It also demonstrates the use of TMS to probe connectivity between components of such networks.

Transcranial magnetic stimulation in a finger-tapping task separates motor from timing mechanisms and induces frequency doubling

We study the interplay between motor programs and their timing in the brain by using precise pulses of transcranial magnetic stimulation (TMS) applied to the primary motor cortex. The movement of the finger performing a tapping task is periodically perturbed in synchronization with a metronome. TMS perturbation can profoundly affect both the finger trajectory and its kinematics, but the tapping accuracy itself is surprisingly not affected. The motion of the finger during the TMS perturbation can be categorized into two abnormal behaviors that subjects were unaware of: a doubling of the frequency of the tap and a stalling of the finger for half the period. More stalls occurred as the tapping frequency increased. In addition, an enhancement of the velocity of the finger on its way up was observed. We conclude that the timing process involved in controlling the tapping movement is separate from the motor processes in charge of execution of the motor commands. We speculate that the TMS is causing a release of the motor plan ahead of time into activation mode. The observed doubles and stalls are then the result of an indirect interaction in the brain, making use of an existing motor plan to correct the preactivation and obtain the temporal goal of keeping the beat.

On the similarities between the perception and production of elliptical trajectories

In an earlier study, Viviani and Stucchi (J Exp Psychol Hum Percept Perform 18:603-623, 1992) have introduced a visual illusion, whereby it was shown that when subjects are asked to determine what movement of a light spot, when tracing an elliptical trajectory, appears to be most uniform, they tend to choose movements that are close to obeying the 2/3 power law (Lacquaniti et al. Acta Psychol 54:115-130, 1983) rather than constant speed movements, even though the actual changes in velocity could exceed 200%. Here we have extended the study of this illusion by directly testing the effect of the shape (eccentricity) and size (perimeter) of the elliptical trajectory, the duration of the tracing of the ellipse and the effect of fixation on the subjects' decision regarding movement uniformity. We found that the ellipse's eccentricity and tracing out speed of the elliptical trajectory significantly affect the subjects' decisions, although the effect of eccentricity seems to be stronger than that of speed. Our findings also indicated that fixation significantly affects the subject's decision for ellipses that are more eccentric. Surprisingly, the ellipse's perimeter had a much smaller effect on the subjects' decisions, although changes in the ellipse's perimeter should have the same effect on the average velocity as changes in the time it takes to trace out the ellipse. This suggested the possibility that the subjects based their decision regarding movement uniformity on other velocity variables in addition to tangential velocity. Computer simulations we have performed have led us to conclude that the subjects' perception of movement uniformity may also be based on assessing the variations in angular velocity and possibly also in affine velocity. Our behavioral and simulation studies thus suggest that the motion perception system is quite responsive to variations in the velocity along an elliptical trajectory but in a way that depends on the path's curvature. Furthermore, the movement is judged to be more uniform when there are minimal differences in angular, tangential and perhaps also in affine velocities, along the trajectory. Our results suggest the existence of similar underlying constraints that affect both the motion perception and production systems when the movements are associated with very large velocities or large changes in velocity along more curved portions of the trajectory. Our observations therefore provide further insight into the possibility that these constraints are either imposed by the underlying neuronal dynamics, the internal architecture of the cortical neural populations or the variables used in the coding of both sensory and motor information regarding movement.

Quantitative detection of protein arrays

We introduce a quantitative method that utilizes scanning electron microscopy for the analysis of protein chips (SEMPC). SEMPC is based upon counting target-coated gold particles interacting specifically with ligands or proteins arrayed on a derivative microscope glass slide by utilizing backscattering electron detection. As model systems, we quantified the interactions of biotin and streptavidin and of an antibody with its cognate hapten. Our method gives quantitative molecule-counting capabilities with an excellent signal-to-noise ratio and demonstrates a broad dynamic range while retaining easy sample preparation and realistic automation capability. Increased sensitivity and dynamic range are achieved in comparison to currently used array detection methods such as fluorescence, with no signal bleaching, affording high reproducibility and compatibility with miniaturization. Thus, our approach facilitates the determination of the absolute number of molecules bound to the chip rather than their relative amounts, as well as the use of smaller samples.