High Arousal States Research Articles

Sex differences in specific aspects of two animal tests of anxiety-like behavior.

Anxiety, a negative state of high arousal and vigilance, is especially prevalent in women, making identification of underlying mechanisms critical for developing effective therapies. With the challenge of disentangling biological and social factors in humans, animal tests can provide valuable insights, although such tests, developed in males, have unclear validity for females. To better understand patterns of sex differences across multiple measures within two classical rodent anxiety tests. We examined female and male adult Wistar rats (n = 15-18/group) that were single-housed in the novelty suppression of feeding test (NSFT) that involves food under a bright light in food-restricted animals, and light-dark test (LDT), which reflects innate aversion to bright light. To further validate these tests in females, we also examined the impact of 1mg/kg diazepam. NSFT measures of the most direct interaction with food, latency to grab food and food consumed, indicated increased anxiety-like behavior in females versus males, with diazepam altering these behaviors in females but not males. Most other measures showed more similar effects of diazepam across the sexes, with some evidence of reduced anxiety-like behavior in LDT for females. Principal component analyses indicated limited relationships across behavioral factors, underscoring previous suggestions of the importance of assessing multiple measures to maximize information and ethological relevance. Combining our findings and previous studies, we speculate that increased anxiety-like behavior in females manifests especially when there is a specific, life-relevant condition (e.g., food in the NSFT). Our findings also validate NSFT and LDT use in females.

NDNF interneurons in layer 1 gain-modulate whole cortical columns according to an animal’s behavioral state

Processing of sensory information in neural circuits is modulated by an animal's behavioral state, but the underlying cellular mechanisms are not well understood. Focusing on the mouse visual cortex, here we analyze the role of GABAergic interneurons that are located in layer 1 and express Ndnf (L1 NDNF INs) in the state-dependent control over sensory processing. We find that the ongoing and sensory-evoked activity of L1 NDNF INs is strongly enhanced when an animal is aroused and that L1 NDNF INs gain-modulate local excitatory neurons selectively during high-arousal states by inhibiting their apical dendrites while disinhibiting their somata via Parvalbumin-expressing interneurons. Because active NDNF INs are evenly spread in L1 and can affect excitatory neurons across all cortical layers, this indicates that the state-dependent activation of L1 NDNF INs and the subsequent shift of inhibition in excitatory neurons toward their apical dendrites gain-modulate sensory processing in whole cortical columns.

Towards on-site automatic detection of noxious events in dairy cows

Successful detection of pain in cows could circumscribe the therapeutic window for treatment before the cow's condition deteriorates further. While severe clinical cases that are characterized as painful have clear behavioral and physiological manifestations, mild pain may go unnoticed in cows due to their stoic nature. This work presents the first step in developing a warning system that will enable the identification of mild pain in dairy cows. In a set of three experiments, a topical application of 10 % capsaicin cream was used to elicit a noxious sensation. Experiment 1 was aimed at establishing capsaicin as a noxious model for bovines (n = 11). Each cow was treated with neutral cream on day one and the noxious cream on day two. Since the duration of capsaicin effects on bovine skin is unknown, Experiment 2 was designed to evaluate capsaicin's impact on bovines 30 min after application (n = 17). Physiological signs were collected in response to the capsaicin cream application and were compared to the application of the neutral cream. In Experiment 3 physiological signs and continuous behavioral data were recorded (n = 22, four cows participated in Experiment 1). Each cow was treated with neutral cream on day one and the noxious cream on days two and three, i.e., repeated exposure to the noxious stimulus. Heart and breathing rates were elevated soon after the noxious treatment but not for the neutral cream. Blood oxygen saturation was inconclusive. Changes in daily activity patterns consecutive to the noxious challenge included a decrease in rumination time and an increase in lying bouts. These results are in line with what would be expected for physiological and behavioral effects of pain in cows. Additional data are required to rule out habituation or sensitization to the procedure. The resulting database was then used to develop a machine-learning algorithm to detect noxious sensations by applying random forest classifiers trained with two different approaches. The learning herd approach, in which a specialist labels a set of observations and uses them to derive a classifier for new observations from the same herd, achieved 82 % ±9% accuracy. The unlearning herd approach, in which a single database is used to train a classifier that can be applied to members of other herds, resulted in an accuracy of 86 %±18 %. The data discussed in this study meet the requirements of an automatic on-site noxious detection system; real-time on-farm measurements, informative of negative high-arousal states.

Insomnia and social network use among secondary school female students in Abha Sector

Background: Internet addiction and other problematic internet use behaviors can dramatically affect sleep hygiene, resulting in sleeplessness and other sleep disturbances. Excess internet and social media use are mainly associated with insomnia and increased time spent on the internet leads to the important disturbance of sleep. One psychophysical mechanism that could help to clarify the negative influence of problematic internet use on sleeping habits can be that nighttime computer use causes a state of high arousal, therefore, interfering with the soothing procedures that are essential for sleep. Sleep disturbance may result in stress which in turn affects student’s scholastic performance. Aim: The current study aimed to assess prevalence of internet addiction with its association with insomnia and scholastic achievement among secondary school females in Abha city, Saudi Arabia. Methodology: A correlational cross-sectional approach was applied for the current research. The research targeted all secondary school female students in Abha city. A multistage cluster sample was applied by selecting schools and students from the Directorate of Education in Abha. Self-administered questionnaire sheets were distributed to students in their classes. The questionnaire covered students’ socio-demographic data like age, grade, parents’ education, work, and living conditions. Also, the tool included scales for internet addiction and perceived stress. Scholastic performance was measured by grades in the last year with absenteeism. Results: The study included 3 50 female students whose ages ranged from 15 to 22 years old with mean age of 16.9 ± 1.1 years. Regarding father’s education, 214 students’ fathers were university graduated (61.5%) and 108 (31%) had secondary level of education. Regarding frequency of using social internet, 85.3% of the students reported usual use. Also, 83.9% of the students spend more than three hours daily using social networks. Internet addiction was reported among more than one third of the sampled students. Conclusions & recommendations: In conclusion, the study revealed that more internet addiction was a significant problem among secondary school female students and affected their scholastic achievement and their life due to high stress. Key words: Internet addiction, students. Secondary school, stress, school performance

A novel dynamic brain network in arousal for brain states and emotion analysis.

Brain network can be well used in emotion analysis to analyze the brain state of subjects. A novel dynamic brain network in arousal is proposed to analyze brain states and emotion with Electroencephalography (EEG) signals. New Method: Time factors is integrated to construct a dynamic brain network under high and low arousal conditions. The transfer entropy is adopted in the dynamic brain network. In order to ensure the authenticity of dynamics and connections, surrogate data are used for testing and analysis. Channel norm information features are proposed to optimize the data and evaluate the level of activity of the brain. The frontal lobe, temporal lobe, and parietal lobe provide the most information about emotion arousal. The corresponding stimulation state is not maintained at all times. The number of active brain networks under high arousal conditions is generally higher than those under low arousal conditions. More consecutive networks show high activity under high arousal conditions among these active brain networks. The results of the significance analysis of the features indicates that there is a significant difference between high and low arousal. Comparison with Existing Method(s): Compared with traditional methods, the method proposed in this paper can analyze the changes of subjects' brain state over time in more detail. The proposed features can be used to quantify the brain network for accurate analysis. The proposed dynamic brain network bridges the research gaps in lacking time resolution and arousal conditions in emotion analysis. We can clearly get the dynamic changes of the overall and local details of the brain under high and low arousal conditions. Furthermore, the active segments and brain regions of the subjects were quantified and evaluated by channel norm information.This method can be used to realize the feature extraction and dynamic analysis of the arousal dimension of emotional EEG, further explore the emotional dimension model, and also play an auxiliary role in emotional analysis.

In infancy, it's the extremes of arousal that are 'sticky': Naturalistic data challenge purely homeostatic approaches to studying self-regulation.

Most theoretical models of arousal/regulatory function emphasise the maintenance of homeostasis; consistent with this, most previous research into arousal has concentrated on examining individuals' recovery following the administration of experimentally administered stressors. Here, we take a different approach: we recorded day-long spontaneous fluctuations in autonomic arousal (indexed via electrocardiogram, heart rate variability and actigraphy) in a cohort of 82 typically developing 12-month-old infants while they were at home and awake. Based on the aforementioned models, we hypothesised that extreme high or low arousal states might be more short-lived than intermediate arousal states. Our results suggested that, contrary to this, both low- and high-arousal states were more persistent than intermediate arousal states. The same pattern was present when the data were viewed over multiple epoch sizes from 1s to 5min; over 10-15-minute time-scales, high-arousal states were more persistent than low- and intermediate states. One possible explanation for these findings is that extreme arousal states have intrinsically greater hysteresis; another is that, through 'metastatic' processes, small initial increases and decreases in arousal can become progressively amplified over time. Rather than exclusively using experimental paradigms to study recovery, we argue that future research should also use naturalistic data to study the mechanisms through which states can be maintained or amplified over time.

Independent Components of EEG Activity Correlating with Emotional State.

Among brain-computer interface studies, electroencephalography (EEG)-based emotion recognition is receiving attention and some studies have performed regression analyses to recognize small-scale emotional changes; however, effective brain regions in emotion regression analyses have not been identified yet. Accordingly, this study sought to identify neural activities correlating with emotional states in the source space. We employed independent component analysis, followed by a source localization method, to obtain distinct neural activities from EEG signals. After the identification of seven independent component (IC) clusters in a k-means clustering analysis, group-level regression analyses using frequency band power of the ICs were performed based on Russell’s valence–arousal model. As a result, in the regression of the valence level, an IC cluster located in the cuneus predicted both high- and low-valence states and two other IC clusters located in the left precentral gyrus and the precuneus predicted the low-valence state. In the regression of the arousal level, the IC cluster located in the cuneus predicted both high- and low-arousal states and two posterior IC clusters located in the cingulate gyrus and the precuneus predicted the high-arousal state. In this proof-of-concept study, we revealed neural activities correlating with specific emotional states across participants, despite individual differences in emotional processing.

Effects of music tempo on perceived exertion, attention, affect, heart rate, and performance during isometric strength exercise

ABSTRACT This study examined the effects of slow and fast music tempi on effort-related thoughts, rating of perceived exertion (RPE), affect, heart rate, and performance during isometric strength exercises. Participants were randomly assigned to one of three conditions (no-music control, fast-tempo music, and slow-tempo music) and performed two isometric strength exercises (wall-sit and plank). RPE, attention allocation, and affect were measured during each exercise task. Participants in both the fast- and slow-tempo music conditions maintained a dissociative state for longer than those in the no-music control condition during the wall-sit exercise; however, this effect did not manifest during the plank exercise. Neither music condition influenced HR, RPE, time to volitional exhaustion, or affect. Within the first few minutes of exercise, participants exhibited an increase in HR and perceived exertion, as well as a corresponding shift towards associative attention and a high arousal state. The results are discussed with reference to potential underlying mechanisms and current theories pertaining to RPE, attention allocation, and affect.

Effects of Autonomous Sensory Meridian Response on the Functional Connectivity as Measured by Functional Magnetic Resonance Imaging.

Autonomous sensory meridian response (ASMR) is a sensory phenomenon in which audio-visual stimuli evoke a tingling sensation and is accompanied by a feeling of calm and relaxation. Therefore, there has been an increasing interest in using stimuli that elicit ASMR in cognitive and clinical neuroscience studies. However, neurophysiological basis of sensory-emotional experiences evoked by ASMR remain largely unexplored. In this study, we investigated how functional connectivity is changed while watching ASMR video, compared to resting state, and assessed its potential association with affective state induced by ASMR. 28 subjects participated in fMRI experiment consisting of 2 sessions (resting-state and task of viewing ASMR-eliciting video). Using a seed-based correlation analysis, we found that functional connections between the posterior cingulate cortex, and superior/middle temporal gyri, cuneus, and lingual gyrus were significantly increased during ASMR compared to resting state. In addition, we found that with the pregenual anterior cingulate cortex seed region, functional connectivity of the medial prefrontal cortex was increased during ASMR condition, relative to resting state. These results imply that ASMR can be elicited and maintained by ongoing interaction between regional activity that are mainly involved in the mentalizing and self-referential processing. We also found that ASMR-induced affective state changes (high activation negative and high activation positive state) were negatively correlated with functional connectivity involved in visual information processing, suggesting that visual information processing in response to high arousal states can be weakened by ASMR-eliciting stimuli.

Effect of greeting and departure interactions on the development of increased separation-related behaviors in newly adopted adult dogs

Canine separation anxiety is a common problem behavior with little known about the factors that lead to its development. This study investigated whether high arousal/excited departures and greetings with a dog may lead to the development of increased frequency of separation-related behavior in newly adopted dogs. In experiment 1, we exposed two groups of dogs to a series of either high or low arousal human experimenter interactions. We hypothesized there would be an increase in activity, vocalizations, and time in proximity to door for the dogs in the high arousal condition compared with the low arousal condition, when left alone, and that these behaviors would increase across 10 sessions. Our results did not show this, indicating high arousal departures and arrivals may not play a role in the development of increased separation-related behavior. In experiment 2, we used a survey to ask owners of dogs with, and without, canine separation anxiety about their arousal levels during arrivals and departures at home with their pet dog. We hypothesized dogs with reported canine separation anxiety would have been exposed to higher arousal levels during departures and arrivals. Our results showed a small difference between the groups, in the opposite direction of our hypothesis, where the dogs with reported canine separation anxiety were exposed to slightly lower arousal levels than dogs without, but the difference was small. From both experiment 1 and 2, our results indicate that high excitement and playful levels of owners during departures and arrivals is not associated with the development of increased separation-related behavior in newly adopted dogs. It is important to make the distinction, however, that low arousal departures and arrivals are a well-documented treatment for separation-related behavior, and our results only reflect that these arousal levels do not appear to play a causal role in the development of an increased frequency of them.

0143 Vigilance Declines Following Sleep Deprivation are Associated with Two Previously Identified Dynamic Connectivity States

Abstract Introduction Dynamic functional connectivity (DFC) analysis of resting-state fMRI data has been successfully used to track fluctuations in arousal in the human brain. Changes in DFC have also been reported with acute sleep deprivation. Here, we demonstrate that dynamic connectivity states (DCS) previously related to arousal are reproducible, and are associated with individual differences in sustained attention declines after one night of total sleep deprivation. Methods 32 participants underwent two counterbalanced resting-state fMRI scans: during rested wakefulness (RW) and following total sleep deprivation (SD). They also completed the Psychomotor Vigilance Test (PVT), a sustained attention task that is highly sensitive to the effects of sleep loss. SD vulnerability was computed as the decrease in response speed (∆RS) and increase in lapses (∆lapse) in SD compared with RW. Dynamic functional connectivity analysis was conducted on rs-fMRI data. Connectivity matrices were clustered to obtain 5 prototypical DCS. We calculated the proportion of time participants spent in each of these DCS, as well as how often participants transitioned between DCSs. Relationships between SD vulnerability and connectivity metrics were then correlated. Results We recovered two DCS that were highly similar (ρ = .89-.91) to arousal-related DCS observed in previous work (high arousal state (HAS); low arousal state (LAS)). After sleep deprivation, the proportion of time spent in the LAS increased significantly (t29=3.16, p=.0039), while there was no significant change in HAS (t29=-1.43, p=.16). We observed significantly more state transitions in RW compared with SD. Change in LAS and HAS across sleep conditions correlated significantly with SD vulnerability (ΔLASxΔRS: r=-0.64, p<.0001; ΔLASxΔlapse: r=0.43, p=.018; ΔHASxΔRS; r=0.43, p=.019; ΔHASxΔlapse; r=-0.39, p=.033). Finally, Δ%transitions was correlated with ΔRS but not Δlapse. Conclusion This study adds to the evidence that two specific reproducible DCS are robust markers of arousal and attention, and may be useful indicators of SD vulnerability. Support This work was supported by the National Medical Research Council, Singapore (STaR/0015/2013), and the National Research Foundation Science of Learning (NRF2016-SOL002-001).

Women with Major Depressive Disorder, Irrespective of Comorbid Anxiety Disorders, Show Blunted Bilateral Frontal Responses during Win and Loss Anticipation

BackgroundElectroencephalography (EEG) studies suggest that major depressive disorder (MDD) is associated with lower left than right frontal brain activity (asymmetry), a pattern appearing stronger in women than men, and when elicited during emotionally-relevant paradigms versus an uncontrolled resting state. However, it is unclear whether this asymmetry pattern generalizes to the common presentation of MDD with co-occurring anxiety. Moreover, asymmetry may differ for anxiety subtypes, wherein anxious apprehension (AnxApp: worry characteristic of generalized anxiety disorder) appears left-lateralized, but anxious arousal (AnxAro: panic characteristic of social anxiety, posttraumatic stress, and panic disorders) may be right-lateralized. MethodsThis analysis attempted to replicate frontal EEG asymmetry patterns using functional magnetic resonance imaging (fMRI). Participants completed clinical interviews and a monetary incentive delay (MID) task during fMRI recording. We compared five groups of right-handed women from the Tulsa 1000 study, MDD (n=40), MDD-AnxApp (n=26), MDD-AnxAro (n=34), MDD-Both (with AnxApp and AnxAro; n=26), and healthy controls (CTL; n=24), as a function of MID anticipation condition (no win/loss, win, loss) and hemisphere on frontal blood oxygen-level-dependent (BOLD) signal. ResultsCTL exhibited higher bilateral superior, middle, and inferior middle frontal gyrus BOLD signal than the four MDD groups for high arousal (win and loss) conditions. However, frontal attenuations were unrelated to current depression/anxiety symptoms, suggestive of a trait as opposed to a state marker. LimitationsThis was a cross-sectional analysis restricted to women. ConclusionsReduced prefrontal cortex recruitment during processing of both positively and negatively valenced stimuli is consistent with the emotion context insensitivity theory of MDD.

EEG Functional Connectivity Underlying Emotional Valance and Arousal Using Minimum Spanning Trees

In recent years, traditional methods such as power spectrum and amplitude analysis have been used to research the emotional electroencephalogram (EEG). The brain network method is also used in emotional EEG research, which can better reflect the activity of brains. A minimum spanning tree (MST) represents the key information flow in the weighted brain network, and it provides a sensitive method to capture subtle information in network organization while effectively avoiding the shortcomings of traditional brain networks. The DEAP dataset provides electroencephalogram (EEG) data for four categories of emotions: high arousal and high valence (HAHV), high arousal and low valence (HALV), low arousal and high valence (LAHV), and low arousal and low valence (LALV). Phase lag index (PLI) weighted matrices were calculated in five frequency bands. On this basis, the minimum spanning trees were constructed. At the same valence level in the gamma (γ) band, HAHV and HALV showed significant higher mean PLI (MPLI), maximum degree (Degreemax) and leaf fraction and significant lower diameter and eccentricity than LAHV and LALV. At the same arousal level in the γ band, HALV showed significant higher MPLI, Degreemax and leaf fraction and significant lower diameter and eccentricity than HAHV. These results indicate that the low-arousal showed more line-shaped configurations than the high-arousal. Additionally, in the high-arousal condition, a shift toward more star-shaped trees from high-valence to low-valence supports the trend toward randomness of the brain network with negative emotions and that the brain is more activated when faced with negative emotions. From a brain network perspective, this phenomenon provides a theoretical basis for negative bias.

Individualized Modeling to Distinguish Between High and Low Arousal States Using Physiological Data.

With wearable, relatively unobtrusive health monitors and smartphone sensors, it is increasingly easy to collect continuously streaming physiological data in a passive mode without placing much burden on participants. At the same time, smartphones provide the ability to survey participants to provide "ground-truth" reporting on psychological states, although this comes at an increased cost in participant burden. In this paper, we examined how analytical approaches from the field of machine learning could allow us to distill the collected physiological data into actionable decision rules about each individual's psychological state, with the eventual goal of identifying important psychological states (e.g., risk moments) without the need for ongoing burdensome active assessment (e.g., self-report). As a first step towards this goal, we compared two methods: (1) a k-nearest neighbor classifier that uses dynamic time warping distance, and (2) a random forests classifier to predict low and high states of affective arousal states based on features extracted using the tsfresh python package. Then, we compared random-forest-based predictive models tailored for the individual with individual-general models. Results showed that the individual-specific model outperformed the general one. Our results support the feasibility of using passively collected wearable data to predict psychological states, suggesting that by relying on both types of data, the active collection can be reduced or eliminated.

Impact of Chronic BDNF Depletion on GABAergic Synaptic Transmission in the Lateral Amygdala.

Brain-derived neurotrophic factor (BDNF) has previously been shown to play an important role in glutamatergic synaptic plasticity in the amygdala, correlating with cued fear learning. While glutamatergic neurotransmission is facilitated by BDNF signaling in the amygdala, its mechanism of action at inhibitory synapses in this nucleus is far less understood. We therefore analyzed the impact of chronic BDNF depletion on GABAA-mediated synaptic transmission in BDNF heterozygous knockout mice (BDNF+/−). Analysis of miniature and evoked inhibitory postsynaptic currents (IPSCs) in the lateral amygdala (LA) revealed neither pre- nor postsynaptic differences in BDNF+/− mice compared to wild-type littermates. In addition, long-term potentiation (LTP) of IPSCs was similar in both genotypes. In contrast, facilitation of spontaneous IPSCs (sIPSCs) by norepinephrine (NE) was significantly reduced in BDNF+/− mice. These results argue against a generally impaired efficacy and plasticity at GABAergic synapses due to a chronic BDNF deficit. Importantly, the increase in GABAergic tone mediated by NE is reduced in BDNF+/− mice. As release of NE is elevated during aversive behavioral states in the amygdala, effects of a chronic BDNF deficit on GABAergic inhibition may become evident in response to states of high arousal, leading to amygdala hyper-excitability and impaired amygdala function.

Metacognition: A potential mechanism of change in the psychotherapy of perpetrators of domestic violence.

The perpetration of domestic violence against individuals is responsible for untold pain, suffering, and premature mortality. Research into outcome effectiveness of perpetrator interventions show inconsistent and inconclusive results. Tailoring treatments based on perpetrator typology has the potential to improve outcomes. Metacognition, referring to understanding self and others’ mental states, points to an important dimension of perpetrator typology. Diminished metacognitive capacity is also related to high arousal states and potential for violence. This article provides a brief review of influences on current treatment approaches and explores metacognition as a psychological factor necessitating greater attention when considering perpetration of domestic violence. The proposed theory is supported through the use of a case presentation based upon the theory proposed. Future research is recommended to include the impact of social roles and relationships in enhancing metacognitive capacity.

Multivariate associations of ideal affect with clinical symptoms.

Prior research has indicated that ideal affect (i.e., the affective states that people value and would ideally like to experience) may be relevant to mental health outcomes. Studies to date, however, have not used comprehensive multivariate models that account for covariation among facets of ideal affect and incorporate multiple clinical outcomes. In the present studies, we used structural equation modeling to examine the multivariate effects of ideal affect on symptoms of depression, anxiety, and alcohol abuse in 2 moderately large samples of undergraduates (N = 293 and N = 146). Exploratory results of Study 1 indicated that valuation of high arousal positive affective states was significantly associated with lower depression symptoms but higher anxiety and alcohol abuse symptoms and that valuation of high arousal negative states was specifically associated with greater anxiety symptoms. These results were shown to be structurally invariant across samples and ethnicities in Study 2, which also found that ideal-actual affect discrepancies were significantly associated with symptoms of depression and anxiety. These findings support and extend the hypothesis that ideal affect is implicated in clinical outcomes by highlighting the importance of jointly considering multiple facets of ideal and actual affect as they relate to a range of clinical syndromes. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Should job applicants be excited or calm? The role of culture and ideal affect in employment settings.

Do cultural differences in emotion play a role in employment settings? We predicted that cultural differences in ideal affect-the states that people value and ideally want to feel-are reflected in: (a) how individuals present themselves when applying for a job, and (b) what individuals look for when hiring someone for a job. In Studies 1-2 (NS1 = 236, NS2 = 174), European Americans wanted to convey high arousal positive states (HAP; excitement) more and low arousal positive states (LAP; calm) less than did Hong Kong Chinese when applying for a job. European Americans also used more HAP words in their applications and showed more "high intensity" smiles in their video introductions than did Hong Kong Chinese. In Study 3 (N = 185), European American working adults rated their ideal job applicant as being more HAP and less LAP than did Hong Kong Chinese, and in Study 4a (N = 125), European American Masters of Business Administration (MBAs) were more likely to hire an excited (vs. calm) applicant for a hypothetical internship than were Hong Kong Chinese MBAs. Finally, in Study 4b (N = 300), employees in a U.S. company were more likely to hire an excited (vs. calm) applicant for a hypothetical internship. In Studies 1-4a, observed differences were partly related to European Americans valuing HAP more than Hong Kong Chinese. These findings support our predictions that culture and ideal affect shape behavior in employment settings, and have important implications for promoting cultural diversity in the workplace. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Commercial wireless versus standard stationary EEG systems for personalized emotional brain-computer interfaces: a preliminary reliability check

We present a preliminary data-based assessment of measurement reliability of the commercial 14-electrode Emotiv EPOCTM EEG wireless system in distinguishing between electrophysiological states of emotional function, as compared to a standard research-lab stationary 32-electrode EEG system for personalized single-individual use. Individual observers completed two tasks designed to elicit neural changes in emotional arousal and valence while simultaneously recording their EEGs with both systems in separate sessions. Participants observed emotion-laden words from the ANEW database and images from the IAPS database, both widely used and validated databases for emotional processes in multidisciplinary research. The pattern of results distinguished between high and low arousal and valence states using the stationary traditional system, but not the commercial device. Also, the latter device recorded EEG band frequencies at a much lower resolution and frequency range than the standard system. These findings suggest poor validity when using the commercial device and therefore should be cautioned against in a research setting.

Decreased functional brain response to emotional arousal and increased psychiatric symptomology in FMR1 premutation carriers

The FMR1 premutation is an expansion of the CGG repeat island in the FMR1 gene to between 55 and 200 repeats. Evidence suggests that as well as conferring risk for neurodegeneration, the premutation is also associated with increased risk for autistic traits and psychiatric symptoms. An emotional processing fMRI task was used to examine the response to a change in emotional arousal in 17 male carriers and 17 matched controls. A psychiatric symptom checklist (SCL-90-R), autism spectrum and empathy quotients (AQ and EQ), and the Ekman Faces Test were used to investigate clinical symptoms and emotional processing. Carriers exhibited significantly lower activation compared to controls at the bilateral superior parietal lobe, bilateral Brodmann Area (BA) 17 (V1), right intraparietal area and right BA18 (V2) when comparing high and low arousal conditions. Group by age analyses were not significant. Assessments revealed that carriers displayed significantly worse symptoms of psychiatric symptoms and higher levels of autistic traits, as well as impaired facial emotion recognition. No measurements revealed an association with age. Here, we show significantly altered emotional processing in carriers which display stability over age, suggesting that, unlike degenerative aspects, emotional symptoms may be consistent over the lifespan in carriers.