EEG Reactivity Research Articles

Soundscape components, perceptions, and EEG reactions in typical mountainous urban parks

The soundscape quality of an urban park can affect human comfort and well-being. This paper investigated the components, assessments, and EEG reactions to soundscapes in mountainous urban parks. Four mountainous urban parks in Chongqing, China, were selected as the areas of study. The results indicate that biological and human sounds make up more than 84.4 % of the overall soundscape components in the mountainous urban parks. The influence of mountainous topography on spatial variation of noise levels was greater than that on temporal variation. The fields for dancing activity were limited and fixed due to the limitations of mountainous topography, but singing activities were not constrained by fields and were distributed widely. The temporal variations in noise levels are known to be affected by the daily activities of visitors, categorised by the time periods of ‘all day’, ‘weekday’, and ‘weekend’. The levels during the weekends were usually 8.0–9.8 dBA higher than those of weekdays. Mountainous landscapes are characterised by abundant visual diversity and flexible spatial scale. The site with greater visual diversity may have higher assessments of sound comfort and soundscape diversity. On the other hand, the naturalness of the soundscape had a significantly negative correlation with spatial openness in the mountainous urban parks. The restorative EEG rhythm was more remarkable at the birdsong-dominant site than at the traffic-noise-dominant site, under both the audio-only condition and the audio-visual condition. Interestingly, more restorative EEG reactions were observed with the audio stimuli than with the audio-visual stimuli, as people may pay more attention to the visual stimuli under the audio-visual condition, which could lead to an EEG rhythm indicative of a tense state.

Quantitative analysis of EEG reactivity for neurological prognostication after cardiac arrest

ObjectiveTo test whether 1) quantitative analysis of EEG reactivity (EEG-R) using machine learning (ML) is superior to visual analysis, and 2) combining quantitative analyses of EEG-R and EEG background pattern increases prognostic value for prediction of poor outcome after cardiac arrest (CA). MethodsSeveral types of ML models were trained with twelve quantitative features derived from EEG-R and EEG background data of 134 adult CA patients. Poor outcome was a Cerebral Performance Category score of 3–5 within 6 months. ResultsThe Random Forest (RF) trained on EEG-R showed the highest AUC of 83% (95-CI 80–86) of tested ML classifiers, predicting poor outcome with 46% sensitivity (95%-CI 40–51) and 89% specificity (95%-CI 86–92). Visual analysis of EEG-R had 80% sensitivity and 65% specificity. The RF was also the best classifier for EEG background (AUC 85%, 95%-CI 83–88) at 24 h after CA, with 62% sensitivity (95%-CI 57–67) and 84% specificity (95%-CI 79–88). Combining EEG-R and EEG background RF classifiers reduced the number of false positives. ConclusionsQuantitative EEG-R using ML predicts poor outcome with higher specificity, but lower sensitivity compared to visual analysis of EEG-R, and is of some additional value to ML on EEG background data. SignificanceQuantitative EEG-R using ML is a promising alternative to visual analysis and of some added value to ML on EEG background data.

Localizing focal brain injury via EEG spectral variance

In this study, we consider the problem of localizing focal brain injuries from surface electroencephalogram (EEG) recordings. To this end, we introduce a new analysis technique termed frequency-based intrinsic network dynamic reactivity (FINDR), which quantifies the extent to which different brain regions (defined in EEG channel space) are responsive to each other in terms of their frequency-domain activity. The technique generalizes the idea of EEG reactivity, a measure of how well EEG signals react/respond to exogenous stimuli. In the present work we generalize this notion to endogenous ‘stimuli,’ defined as short-time window frequency domain motifs that are most predominant on a per channel basis. For each of these predominant motifs, we quantify the variance of the activity in all other channels as a measure of ‘intrinsic reactivity’, under the hypothesis that channels proximal to injured regions will be systematically disassociated from other brain areas. We use this method as a front-end to a neural network classifier to predict injury location in a cohort of etiologically heterogeneous comatose patients. We achieve a 0.6 correlation between the predicted injury location and the actual brain injury. These results suggest a possibility of precise localization of brain injury using EEG.

Frequency-dependent effects of EEG phase resetting on reaction time

There is trial-to-trial variability in the reaction time to stimulus presentation. Since this variability exists even in an identical stimulus condition, it reflects the internal neural dynamics of the brain. To understand the neural dynamics that influence the reaction time, we conducted an electroencephalogram (EEG) experiment in which participants were asked to press a response button as quickly as possible when a stimulus was visually presented. Phase-locking factor analysis revealed that phase resetting in two frequency bands, which appeared 0.2 s after the stimulus presentation, characterized the reaction time. The combination of the theta band phase resetting in the left parietal region and the delta band phase resetting mainly in the posterior region was associated with the fastest reaction time, whereas delta band phase resetting without theta band phase resetting was associated with the faster reaction time. The results indicated that there were frequency-dependent effects in the relationships between the EEG phase resetting and reaction time.

Assessment of a standardized EEG reactivity protocol after cardiac arrest

ObjectiveReactivity assessment during EEG might provide important prognostic information in post-anoxic coma. It is still unclear how best to perform reactivity testing and how it might be affected by hypothermia. Our primary aim was to determine and compare the effectiveness, inter-rater reliability and prognostic value of different types of stimulus for EEG reactivity testing, using a standardized stimulation protocol and standardized definitions. Our secondary aims were to assess the effect of hypothermia on these measures, and to determine the prognostic value of a simplified sequence with the three most efficient stimuli. MethodsProspective single-center cohort of post-anoxic comatose patients admitted to the intensive care unit of an academic medical center between January 1, 2016 and December 31, 2018 and receiving continuous EEG monitoring (CEEG). Reactivity was assessed using standardized definitions and standardized sequence of stimuli: auditory (mild noise and loud noise), tactile (shaking), nociceptive (nostril tickling, trapezius muscle squeezing, endotracheal tube suctioning), and visual (passive eye opening). Gwet’s AC1 and percent agreement (PA) were used to measure inter-rater agreement (IRA). Ability to predict favorable neurological outcome (defined as a Cerebral Performance Category of 1 to 2: no disability to moderate disability) was measured with sensitivity (Se), specificity (Sp), accuracy, and odds ratio [OR]. These were calculated for each stimulus type and at the level of the entire sequence comprising all the stimuli. ResultsOne-hundred and fifteen patients were included and 242 EEG epochs were analyzed. Loud noise, shaking and trapezius muscle squeezing most frequently elicited EEG reactivity (42%, 38% and 38%, respectively) but were all inferior to the entire sequence, which elicited reactivity in 58% cases. The IRA for reactivity to individual stimuli varied from moderate to good (AC1:58–69%; PA:56–68%) and was the highest for loud noise (AC1:69%; PA:68%), trapezius muscle squeezing (AC1:67%; PA:65%) and passive eye opening (AC1:68%; PA:64%). Mild (odds ratio [OR]:11.0; Se:70% and Sp:86%) and loud noises (OR:27.0; Se:73% and Sp:75%), and trapezius muscle squeezing (OR:15.3; Se:76% and Sp:83%) during hypothermia had the best predictive value for favorable neurological outcome, although each was inferior to the whole sequence (OR:60.2; Se:91% and Sp:73%). A simplified sequence of loud noise, shaking and trapezius muscle squeezing had the same performance for predicting neurological outcome as the entire sequence. Hypothermia did not significantly affect the effectiveness of stimulation, but IRA was slightly better during hypothermia, for all stimuli. Similarly, the predictive value was higher during hypothermia than during normothermia. ConclusionsDespite a standardized stimulation protocol and standardized definitions, the IRA of EEG reactivity testing in post-anoxic comatose patients was only good at best (AC1 < 70%), and its predictive value for neurological outcome remained imperfect, in particular with Sp values < 90%. While no single stimulus appeared superior to others, a full sequence using all stimuli or a simplified sequence comprising loud noise, shaking and trapezius muscle squeezing had the best combination of IRA and predictive value. SignificanceThis study stresses the necessity to use multiple stimulus types to improve the predictive value of reactivity testing in post-anoxic coma and confirms that it is not affected by hypothermia.

개인용 치유공간 계획기준 설정을 위한 뇌파분석 실험연구

In order to prepare an appropriate planning standard for a personal healing space, the experiment space of the minimum size was composed of VR, and the EEG reaction according to the conditions of interior finishing materials, lighting, and furniture was tested using the EEG analysis method. For the analysis, the performance metrics of Emotiv were used. The following implications could be drawn. First, As for the interior finishing material for the healing space, among white gray wallpaper, cedar, and walnut, cedar has the highest value in areas such as Engagement, Interest, and Relaxation, and the lowest measured value for stress. It was found that it was necessary to construct a healing space with interior finishing materials with soft, warm colors and natural feelings. Second, as for the lighting conditions, the lighting with a color temperature of 6000K also showed higher Excitement, Stress, and Interest and Focus than the 3000K lighting. It was confirmed that 3000K lighting is more appropriate for the healing environment. Third, even though the personal healing space is the smallest and narrow space, it was confirmed that having familiar furniture lowered Stress and Focus while increasing Engagement, Excitement, Relaxation, and Interest compared to a space without furniture at all. When composing a healing space, it was found that visually familiar furniture arrangements were necessary.

Hemispheric differences in altered reactivity of brain oscillations at rest after posterior lesions

A variety of evidence supports the dominance of the right hemisphere in perceptual and visuo-spatial processing. Although growing evidence shows a strong link between alpha oscillations and the functionality of the visual system, asymmetries in alpha oscillatory patterns still need to be investigated. Converging findings indicate that the typical alpha desynchronization occurring in the transition from the eyes-closed to the eyes-open resting state might represent an index of reactivity of the visual system. Thus, investigating hemispheric asymmetries in EEG reactivity at the opening of the eyes in brain-lesioned patients may shed light on the contribution of specific cortical sites and each hemisphere in regulating the oscillatory patterns reflecting the functionality of the visual system. To this aim, EEG signal was recorded during eyes-closed and eyes-open resting state in hemianopic patients with posterior left or right lesions, patients without hemianopia with anterior lesions and healthy controls. Hemianopics with both left and right posterior lesions showed a reduced alpha reactivity at the opening of the eyes, suggesting that posterior cortices have a pivotal role in the functionality of alpha oscillations. However, right-lesioned hemianopics showed a greater dysfunction, demonstrated by a reactivity reduction more distributed over the scalp, compared to left-lesioned hemianopics. Moreover, they also revealed impaired reactivity in the theta range. This favors the hypothesis of a specialized role of the right hemisphere in orchestrating oscillatory patterns, both coordinating widespread alpha oscillatory activity and organizing focal processing in the theta range, to support visual processing at the opening of the eyes.

EEG Reactivity and Evoked Response Testing Predict Positive Outcomes Following Cardiac Arrest (1189)

EEG Reactivity and Evoked Response Testing Predict Positive Outcomes Following Cardiac Arrest (1189)

A novel nomogram for early prediction of death in severe neurological disease patients with electroencephalographic periodic discharges

ObjectiveTo investigate death-related factors in patients with electroencephalographic (EEG) periodic discharges (PDs) and to construct a model for death prediction. MethodsThis case-control study enrolled a total of 80 severe neurological disease patients with EEG PDs within 72 h of admission to the neuroscience intensive care unit (NICU). According to modified Rankin scale (mRS) scores half a year after discharge, patients were divided into a survival group (<6 points) and a death group (6 points). Their relevant clinical and biochemical indicators as well as EEG characteristics were retrospectively analyzed. Logistic regression analysis was used to identify the risk factors associated with the death of patients with EEG PDs. A death risk prediction model and an individualized nomogram prediction model were constructed, and the prediction performance and concordance of the models were evaluated. ResultsMultivariate logistic regression analysis showed that the involvement of both gray and white matter in imaging, disappearance of EEG reactivity, occurrence of stimulus-induced rhythmic, periodic, or ictal discharges (SIRPIDs), and an interval time of 0.5–4 s were independent risk factors for death. A regression model was established according to the multivariate logistic regression analysis, and the area under the curve of this model was 0.9135. The accuracy of the model was 87.01%, the sensitivity was 87.17%, and the specificity was 89.17%. A nomogram model was constructed, and a concordance index of 0.914 was obtained after internal validation. ConclusionThe regression model based on risk factors has high accuracy in predicting the risk of death of patients with EEG PDs. SignificanceThis model can help clinicians in the early assessment of the prognosis of severe neurological disease patients with EEG PDs.

Multimodal Long-Term Predictors of Outcome in Out of Hospital Cardiac Arrest Patients Treated with Targeted Temperature Management at 36 °C.

Introduction: Early prediction of long-term outcomes in patients resuscitated after cardiac arrest (CA) is still challenging. Guidelines suggested a multimodal approach combining multiple predictors. We evaluated whether the combination of the electroencephalography (EEG) reactivity, somatosensory evoked potentials (SSEPs) cortical complex and Gray to White matter ratio (GWR) on brain computed tomography (CT) at different temperatures could predict survival and good outcome at hospital discharge and six months after the event. Methods: We performed a retrospective cohort study including consecutive adult, non-traumatic patients resuscitated from out-of-hospital CA who remained comatose on admission to our intensive care unit from 2013 to 2017. We acquired SSEPs and EEGs during the treatment at 36 °C and after rewarming at 37 °C, Gray to white matter ratio (GWR) was calculated on the brain computed tomography scan performed within six hours of the hospital admission. We primarily hypothesized that SSEP was associated with favor-able functional outcome at distance and secondarily that SSEP provides independent information from EEG and CT. Outcomes were evaluated using the Cerebral Performance Category (CPC) scale at six months from discharge. Results: Of 171 resuscitated patients, 75 were excluded due to missing data or uninterpretable neurophysiological findings. EEG reactivity at 37 °C has been shown the best single predictor of good out-come (AUC 0.803) while N20P25 was the best single predictor for survival at each time point. (AUC 0.775 at discharge and AUC 0.747 at six months follow up). The predictive value of a model including EEG reactivity, average GWR, and SSEP N20P25 amplitude was superior (AUC 0.841 for survival and 0.920 for good out-come) to any combination of two tests or any single test. Conclusions: Our study, in which life-sustaining treatments were never suspended, suggests SSEP cortical complex N20P25, after normothermia and off sedation, is a reliable predictor for survival at any time. When SSEP cortical complex N20P25 is added into a model with GWR average and EEG reactivity, the predictivity for good outcome and survival at distance is superior than each single test alone.

Sympathetic Nervous System and Exercise Affects Cognition in Youth (SNEACY): study protocol for a randomized crossover trial

BackgroundThere is an increasing prevalence of physical inactivity during childhood, which is associated with a variety of health problems. However, the mechanisms by which acute exercise benefits cognition in childhood remains unknown. Here we describe the protocol for a randomized crossover trial called SNEACY (Sympathetic Nervous System & Exercise Affects Cognition in Youth), a study designed to better understand mechanisms linking acute exercise and cognition in 9–10-year-old healthy, cognitively normal children.MethodsChildren from the Greater Boston, MA region will be recruited to participate in this single center study. A randomized crossover design will be utilized, such that participants will act as their own controls, through initial randomization to condition assignment and condition counterbalancing across participants. One hundred three children will participate in three randomized acute interventions: moderate intensity treadmill exercise (20 min, 70–75% of their maximal heart rate), seated rest (20 min), and a Trier Social Stress Test for Children (14 min). These visits will occur on 3 three separate days, approximately 5–8 days apart. Before and after each intervention, children complete a variety of cognitive tasks measuring attentional inhibition while their neuroelectric activity is recorded. Variables of interest include EEG data, accuracy and reaction time, academic achievement, and salivary alpha amylase. Academic achievement is also assessed following interventions. In addition, children provide passive drool samples throughout the interventions to measure various biomarkers that may explain the acute exercise benefit on cognition.DiscussionThe results from this study could influence educational and public health recommendations to enhance cognition and learning in pre-adolescent children.Trial registrationClinicalTrials.gov NCT03592238. Registered on 19 July 2018

ELECTROENCEPHALOGRAPHIC MONITORING OF THE BRAIN FUNCTIONAL CONDITION IN MODERN UKRANIAN SCHOOLCHILDREN

The aim: To monitor the brain functional state of generally healthy Ukrainian schoolchildren according to computer electroencephalography (EEG). Materials and methods: EEG examination of 125 practically healthy (according to medical records) schoolchildren of both sexes, which were divided into 3 age groups: 1) 8-12 years old (n = 49); 2) 13-16 years old (n = 42); 3) 17-18 years old (n = 34). EEG was recorded at rest with eyes closed and during functional tests (eye opening, hyperventilation). Visual and spectral analyzes of the EEG were carried out, types of EEG were determined according to A.E. Zhirmunskaya. (1991) in the adaptation of N.L. Gorbachevskaya et al. (1999). Results: The peak frequency of alpha activity is in the range of 9 to 11.5 Hz, with a tendency to increase as you grow older. A disorganized type of EEG with a predominance of alpha activity dominates with an organized type of EEG. For most schoolchildren, normal EEG reactivity predominates in response to functional tests. The detection rate of short fragments of pathological activity in the background did not exceed 8%, but increased to 20% with hyperventilation. Conclusions: Only a third of modern Ukrainian schoolchildren classified as "healthy" have a physiological type of EEG, which indicates the optimal functional state of the brain. The remaining part of generally healthy schoolchildren have EEG changes, which reflect initial functional disorders mainly at the level of nonspecific structures and the brain stem.

Predicting the prognosis for severe brain injury patients: short-latency somatosensory evoked potential combined with electroencephalogram reactivity

Objective: To explore the the effectiveness of using short-latency somatosensory evoked potential(SLSEP) combined with electroencephalogram(EEG) reactivity to predict the prognosis of severe brain injury(SBI) patients. Methods: Consecutive patients with SBI admitted in neurosurgery intensive care unit(NSICU) at Xiangya Hospital of Central South University from July 2018 to January 2019 were prospectively collected. SLSEP and EEG were recorded in these patients in NSICU within two weeks after injury onset. EEG reactivity(EEG-R) was tested during EEG signal stabilization. In addition, the concentrations of serum neuron-specific enolase (NSE) and S100 protein were also detected. All patients were evaluated with Glasgow Outcome Scale(GOS) during 12 months' follow-up. GOS grade 3 to 5 was defined as favorable group, and GOS grade 1 to 2 was defined as unfavorable group. The association of relevant predictors with patient's prognosis was assessed. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate each potential predictor. Results: Forty-three patients were included in the study, with 26 patients of favorable outcomes and 17 patients with unfavorable prognosis. Univariate analysis revealed that the Glasgow Coma Scale (GCS) score, the concentration of serum NSE, EEG-R, the amplitude of SLSEP were all associated with the prognosis after 12 months' follow-up. Moreover, the AUC for prediction of favorable prognosis by GCS, NSE, EEG-R, SLSEP was 0.661(95%CI: 0.493-0.829), 0.697(95%CI: 0.531-0.862), 0.718(95%CI: 0.557-0.879) and 0.758(95%CI: 0.609-0.907) respectively. However, there was no significant difference of age, gender, pupillary light reflex and S100 protein between the two groups. Furthermore, multiple logistic regression analysis showed that only SLSEP amplitude (OR=2.058, 95%CI: 0.867-4.888) and EEG-R(OR=3.748, 95%CI: 0.857-16.394) were independent predictors of favorable prognosis, and the prognostic model containing these two variables yielded an predictive performance with an AUC of 0.798. Conclusion: The higher amplitude of SLSEP and the existence of EEG-R are predictors of good prognosis in SBI patients, and the combined use of SLSEP and EEG-R in predicting the prognosis of SBI patients is more reliable.

Multicenter prospective study on predictors of short-term outcome in disorders of consciousness.

ObjectiveThis international multicenter, prospective, observational study aimed at identifying predictors of short-term clinical outcome in patients with prolonged disorders of consciousness (DoC) due to acquired severe brain injury.MethodsPatients in vegetative state/unresponsive wakefulness syndrome (VS/UWS) or in minimally conscious state (MCS) were enrolled within 3 months from their brain injury in 12 specialized medical institutions. Demographic, anamnestic, clinical, and neurophysiologic data were collected at study entry. Patients were then followed up for assessing the primary outcome, that is, clinical diagnosis according to standardized criteria at 6 months postinjury.ResultsWe enrolled 147 patients (44 women; mean age 49.4 [95% confidence interval 46.1–52.6] years; VS/UWS 71, MCS 76; traumatic 55, vascular 56, anoxic 36; mean time postinjury 59.6 [55.4–63.6] days). The 6-month follow-up was complete for 143 patients (VS/UWS 70; MCS 73). With respect to study entry, the clinical diagnosis improved in 72 patients (VS/UWS 27; MCS 45). Younger age, shorter time postinjury, higher Coma Recovery Scale–Revised total score, and presence of EEG reactivity to eye opening at study entry predicted better outcome, whereas etiology, clinical diagnosis, Disability Rating Scale score, EEG background activity, acoustic reactivity, and P300 on event-related potentials were not associated with outcome.ConclusionsMultimodal assessment could identify patients with higher likelihood of clinical improvement in order to help clinicians, families, and funding sources with various aspects of decision-making. This multicenter, international study aims to stimulate further research that drives international consensus regarding standardization of prognostic procedures for patients with DoC.

EEG reactivity testing for prediction of good outcome in patients after cardiac arrest.

To determine the additional value of EEG reactivity (EEG-R) testing to EEG background pattern for prediction of good outcome in adult patients after cardiac arrest (CA). In this post hoc analysis of a prospective cohort study, EEG-R was tested twice a day, using a strict protocol. Good outcome was defined as a Cerebral Performance Category score of 1-2 within 6 months. The additional value of EEG-R per EEG background pattern was evaluated using the diagnostic odds ratio (DOR). Prognostic value (sensitivity and specificity) of EEG-R was investigated in relation to time after CA, sedative medication, different stimuli, and repeated testing. Between 12 and 24 hours after CA, data of 108 patients were available. Patients with a continuous (n = 64) or discontinuous (n = 19) normal voltage background pattern with reactivity were 3 and 8 times more likely to have a good outcome than without reactivity (continuous: DOR, 3.4; 95% confidence interval [CI], 0.97-12.0; p = 0.06; discontinuous: DOR, 8.0; 95% CI, 1.0-63.97; p = 0.0499). EEG-R was not observed in other background patterns within 24 hours after CA. In 119 patients with a normal voltage EEG background pattern, continuous or discontinuous, any time after CA, prognostic value was highest in sedated patients (sensitivity 81.3%, specificity 59.5%), irrespective of time after CA. EEG-R induced by handclapping and sternal rubbing, especially when combined, had highest prognostic value. Repeated EEG-R testing increased prognostic value. EEG-R has additional value for prediction of good outcome in patients with discontinuous normal voltage EEG background pattern and possibly with continuous normal voltage. The best stimuli were clapping and sternal rubbing.

Anaesthesia-dependent oscillatory EEG features in the super-elderly

ObjectiveAlthough the characteristics of electroencephalograms (EEGs) have been reported to change with age, anaesthesia-dependent oscillatory features and reactivity of the super-elderly EEG to anaesthesia have not been examined in detail. MethodsParticipants comprised 20 super-elderly patients (age; mean ± standard deviation, 87.1 ± 3.8 years) and 20 young adult patients (35.5 ± 8.5 years). At three levels of sevoflurane anaesthesia (minimum alveolar concentration [MAC] of 0.3, 0.7, and 1.4), oscillatory features of the frontal EEG were examined by analysing quadratic phase coupling (bicoherence) and power spectrum in α and δ-θ areas and compared in an anaesthesia-dependent manner, using the Friedman test. ResultsAmong super-elderly individuals, bicoherences in the δ-θ area showed anaesthesia-dependent increases (median [interquartile range], 12.9% [5.2%], 19.2% [9.1%], 23.3% [8.7%]; 0.3, 0.7, 1.4 MAC sevoflurane, p = 0.000), whereas bicoherence in the α area did not change at these different anaesthesia levels (11.2% [3.9%], 12.5% [4.4%], 14.1% [5.7%], respectively; p = 0.142), counter to the results found in young adult patients, where both δ-θ and α bicoherences changed with anaesthesia. ConclusionsIn the super-elderly, δ-θ bicoherence of EEG shows anaesthesia- dependent changes, whereas α activity remains small irrespective of anaesthesia level. SignificanceQuantification of δ-θ bicoherence is a candidate for anaesthesia monitoring in the super-elderly.

Do negative emotions in social advertising really work? Confrontation of classic vs. EEG reaction toward advertising that promotes safe driving.

Social campaigns are persuasive messages that attempt to communicate positive ideas and practices. One of the main challenges in designing effective social campaigns is the need to compete with other advertisements for viewers’ attention. One of the most widely used methods of drawing attention to social advertising is the use of negative emotions. However, the effectiveness of negative emotional appeals in social campaigns is still a topic of debates. The aim of the study was to use both declarative and neural (EEG) measures to examine whether increasing the intensity of negative emotions in a social campaign enhances its effectiveness linearly or only to a certain level (curvilinear relation). The experimental study was conducted (N = 62) with road safety campaign, using three different levels of negative emotional intensity. The results showed that even though advertising with the strongest negative stimuli evoked the strongest negative emotions, it had no significantly stronger influence on behavioral intention (driving less risky) than moderately negative stimuli. Moreover, neural reaction to the negative stimuli in advertising depended on driving style–people with risky driving style payed less attention to more threatening message (higher beta oscillations).

The song of Anorexia Nervosa: a specific evoked potential response to musical stimuli in affected participants.

Research applying electroencephalography (EEG) to Anorexia Nervosa (AN) is still limited, even though in other psychiatric disorders EEG has permitted to find out the hallmarks of the disorder. The aim of the study was to explore whether EEG basal activity and reactivity to musical stimulation differ in participants with AN as compared to healthy subjects (HS). Twenty female participants (respectively 10 with AN and 10 healthy controls) were administered a battery of psychometric tests and underwent EEG under three different conditions: (1) at baseline; (2) after a generic music stimulation; and (3) after a favorite musical stimulation. In participants with AN, basal EEG showed the higher absolute amplitude of cortical slow waves (theta) in the parieto-occipital and temporal derivations, with a deficit in the beta band. In AN, there was a higher N100 latency and a reduced P300 latency compared to HS. While the N100 and P300 latencies were sensitive to the musical stimulus in HS, there was no difference after music stimulation in AN. These data suggest that AN is accompanied by a state of brain hyperarousal with abnormal reactivity to environmental stimuli, similar to the state of HS after musical stimulation. If confirmed, this finding may have treatment implications. III, Evidence obtained from well-designed cohort or case-control analytic studies.

Reliability of EEG Reactivity in the Assessment of Comatose Patients Under Standardized Protocol (4692)

Reliability of EEG Reactivity in the Assessment of Comatose Patients Under Standardized Protocol (4692)

Noninvasive Neurological Monitoring in Extracorporeal Membrane Oxygenation.

Optimal neurologic monitoring methods have not been characterized for patients on extracorporeal membrane oxygenation (ECMO). We assessed the feasibility of noninvasive multimodal neuromonitoring (NMN) to prognosticate outcome. In this prospective observational study, neurologic examinations, transcranial Doppler (TCD), electroencephalography (EEG), and somatosensory evoked potentials (SSEPs) were performed at prespecified intervals. Outcome at discharge was defined as favorable when modified Rankin Scale (mRS) 0-3; unfavorable when mRS >3. Of 20 patients (median age 60 years), 17 had TCDs, 13 had EEGs, and seven had SSEPs. With NMN, 17 (85%) were found to have neurologic complications. Fourteen (70%) had unfavorable outcomes. The unfavorable outcome was associated with absent EEG reactivity, coma, central cannulation, higher transfusion requirement, and higher Acute Physiology and Chronic Health Evaluation II and Sepsis-related Organ Failure Assessment scores. Seven patients had both SSEPs and EEGs and exhibited intact N20 responses despite poor outcomes. Four of these seven showed absent EEG reactivity despite intact N20. Eighteen thromboembolic events were observed, 14 of which had positive microembolic signals (MESs) in TCD. All 10 patients with arterial-sided thrombotic events had positive MES. NMN caused no adverse effects. NMN during ECMO is feasible and found high neurologic complication rate. EEG and TCD showed potential for prognostication of neurologic outcome.