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Musical engagement can be conceptualized through various activities, modes of listening and listener states. Recent research has reported that a state of focused engagement can be indexed by the inter‐subject correlation (ISC) of audience responses to a shared naturalistic stimulus. While statistically significant ISC has been reported during music listening, we lack insight into the temporal dynamics of engagement over the course of musical works—such as those composed in the Western classical style—which involve the formulation of expectations that are realized or derailed at subsequent points of arrival. Here, we use the ISC of electroencephalographic (EEG) and continuous behavioural (CB) responses to investigate the time‐varying dynamics of engagement with functional tonal music. From a sample of adult musicians who listened to a complete cello concerto movement, we found that ISC varied throughout the excerpt for both measures. In particular, significant EEG ISC was observed during periods of musical tension that built to climactic highpoints, while significant CB ISC corresponded more to declarative entrances and points of arrival. Moreover, we found that a control stimulus retaining envelope characteristics of the intact music, but little other temporal structure, also elicited significantly correlated EEG and CB responses, though to lesser extents than the original version. In sum, these findings shed light on the temporal dynamics of engagement during music listening and clarify specific aspects of musical engagement that may be indexed by each measure. [ABSTRACT FROM AUTHOR]

The recent legalization of sports wagering in many regions of North America has renewed attention on the practice of sports betting. Although considerable effort has been previously devoted to the analysis of sportsbook odds setting and public betting trends, the principles governing optimal wagering have received less focus. Here the key decisions facing the sports bettor are cast in terms of the probability distribution of the outcome variable and the sportsbook's proposition. Knowledge of the median outcome is shown to be a sufficient condition for optimal prediction in a given match, but additional quantiles are necessary to optimally select the subset of matches to wager on (i.e., those in which one of the outcomes yields a positive expected profit). Upper and lower bounds on wagering accuracy are derived, and the conditions required for statistical estimators to attain the upper bound are provided. To relate the theory to a real-world betting market, an empirical analysis of over 5000 matches from the National Football League is conducted. It is found that the point spreads and totals proposed by sportsbooks capture 86% and 79% of the variability in the median outcome, respectively. The data suggests that, in most cases, a sportsbook bias of only a single point from the true median is sufficient to permit a positive expected profit. Collectively, these findings provide a statistical framework that may be utilized by the betting public to guide decision-making. [ABSTRACT FROM AUTHOR]

We report on the rationale and design of an ongoing National Institute of Mental Health (NIMH) sponsored R61-R33 project in major depressive disorder (MDD). Current treatments for MDD have significant limitations in efficacy and side effect burden. There is a critical need for device-based treatments in MDD that are efficacious, well-tolerated, and easy to use. This project focuses on the adjunctive use of the transcranial photobiomodulation (tPBM) with near-infrared (NIR) light for the treatment of MDD. tPBM with NIR light penetrates robustly into the cerebral cortex, stimulating the mitochondrial respiratory chain, and also significantly increases cerebral blood flow (CBF). In the R61 phase, we will conduct target engagement studies to demonstrate dose-dependent effects of tPBM on the prefrontal cortex (PFC) CBF, using the increase in fMRI blood-oxygenation-level-dependent (BOLD) signal levels as our Go/No-go target engagement biomarker. In the R33 phase, we will conduct a randomized clinical trial of tPBM vs. sham in MDD to establish the target engagement and evaluate the association between changes in the biomarker (BOLD signal) and changes in clinical symptoms, while also collecting important information on antidepressant effects, safety, and tolerability. The study will be done in parallel at New York University/the Nathan Kline Institute (NYU/NKI) and at Massachusetts General Hospital (MGH). The importance of this study is threefold: 1. it targets MDD, a leading cause of disability worldwide, which lacks adequate treatments; 2. it evaluates tPBM, which has a well-established safety profile and has the potential to be safe in at-home administration; and 3. it uses fMRI BOLD changes as a target engagement biomarker. If effects are confirmed, the present study will both support short-term clinical development of an easy to scale device for the treatment of MDD, while also validating a biomarker for the development of future, novel modulation strategies. [ABSTRACT FROM AUTHOR]

Musical minimalism utilizes the temporal manipulation of restricted collections of rhythmic, melodic, and/or harmonic materials. One example, Steve Reich's Piano Phase , offers listeners readily audible formal structure with unpredictable events at the local level. For example, pattern recurrences may generate strong expectations which are violated by small temporal and pitch deviations. A hyper-detailed listening strategy prompted by these minute deviations stands in contrast to the type of listening engagement typically cultivated around functional tonal Western music. Recent research has suggested that the inter-subject correlation (ISC) of electroencephalographic (EEG) responses to natural audio-visual stimuli objectively indexes a state of "engagement," demonstrating the potential of this approach for analyzing music listening. But can ISCs capture engagement with minimalist music, which features less obvious expectation formation and has historically received a wide range of reactions? To approach this question, we collected EEG and continuous behavioral (CB) data while 30 adults listened to an excerpt from Steve Reich's Piano Phase , as well as three controlled manipulations and a popular-music remix of the work. Our analyses reveal that EEG and CB ISC are highest for the remix stimulus and lowest for our most repetitive manipulation, no statistical differences in overall EEG ISC between our most musically meaningful manipulations and Reich's original piece, and evidence that compositional features drove engagement in time-resolved ISC analyses. We also found that aesthetic evaluations corresponded well with overall EEG ISC. Finally we highlight co-occurrences between stimulus events and time-resolved EEG and CB ISC. We offer the CB paradigm as a useful analysis measure and note the value of minimalist compositions as a limit case for the neuroscientific study of music listening. Overall, our participants' neural, continuous behavioral, and question responses showed strong similarities that may help refine our understanding of the type of engagement indexed by ISC for musical stimuli. [ABSTRACT FROM AUTHOR]

It is well established that neural responses to visual stimuli are enhanced at select locations in the visual field. Although spatial selectivity and the effects of spatial attention are well understood for discrete tasks (e.g. visual cueing), little is known for naturalistic experience that involves continuous dynamic visual stimuli (e.g. driving). Here, we assess the strength of neural responses across the visual space during a kart‐race game. Given the varying relevance of visual location in this task, we hypothesized that the strength of neural responses to movement will vary across the visual field, and it would differ between active play and passive viewing. To test this, we measure the correlation strength of scalp‐evoked potentials with optical flow magnitude at individual locations on the screen. We find that neural responses are strongly correlated at task‐relevant locations in visual space, extending beyond the focus of overt attention. Although the driver's gaze is directed upon the heading direction at the centre of the screen, neural responses were robust at the peripheral areas (e.g. roads and surrounding buildings). Importantly, neural responses to visual movement are broadly distributed across the scalp, with visual spatial selectivity differing across electrode locations. Moreover, during active gameplay, neural responses are enhanced at select locations in the visual space. Conventionally, spatial selectivity of neural response has been interpreted as an attentional gain mechanism. In the present study, the data suggest that different brain areas focus attention on different portions of the visual field that are task‐relevant, beyond the focus of overt attention. [ABSTRACT FROM AUTHOR]

While it is well known that vision guides movement, less appreciated is that the motor cortex also provides input to the visual system. Here, we asked whether neural processing of visual stimuli is acutely modulated during motor activity, hypothesizing that visual evoked responses are enhanced when engaged in a motor task that depends on the visual stimulus. To test this, we told participants that their brain activity was controlling a video game that was in fact the playback of a prerecorded game. The deception, which was effective in half of participants, aimed to engage the motor system while avoiding evoked responses related to actual movement or somatosensation. In other trials, subjects actively played the game with keyboard control or passively watched a playback. The strength of visually evoked responses was measured as the temporal correlation between the continuous stimulus and the evoked potentials on the scalp. We found reduced correlation during passive viewing, but no difference between active and sham play. Alpha‐band (8–12 Hz) activity was reduced over central electrodes during sham play, indicating recruitment of motor cortex despite the absence of overt movement. To account for the potential increase of attention during gameplay, we conducted a second study with subjects counting screen items during viewing. We again found increased correlation during sham play, but no difference between counting and passive viewing. While we cannot fully rule out the involvement of attention, our findings do demonstrate an enhancement of visual evoked responses during active vision. [ABSTRACT FROM AUTHOR]

Although techniques for noninvasive brain stimulation are under intense investigation, an approach that has received limited attention is transcranial photobiomodulation (tPBM), the delivery of near-infrared light to the brain with a laser or light-emitting diode directed at the scalp. Here we employed functional magnetic resonance imaging to measure the blood-oxygenation-level-dependent signal in n =20 healthy human participants while concurrently stimulating their right frontal pole with a near-infrared laser. Functional connectivity with the illuminated region increased by up to 15% during stimulation, with a quarter of all connections experiencing a significant increase. The time course of connectivity exhibited a sharp rise approximately 1 min after illumination onset. Brain-wide connectivity increases were also observed, with connections involving the stimulated hemisphere showing a significantly larger increase than those in the contralateral hemisphere. We subsequently employed magnetic resonance thermometry to measure brain temperature during tPBM (separate cohort, n =20) and found no significant temperature differences between active and sham stimulation. Our findings suggest that near-infrared light synchronizes brain activity with a nonthermal mechanism, underscoring the promise of tPBM as a new technique for stimulating brain function. [ABSTRACT FROM AUTHOR]

Background: Heavy carrying and lifting (HCL) is a common activity among farmers that may be related to health. The aim of this study was to examine HCL as a proxy for occupational physical activity (PA) among farm residents. The secondary objective was to evaluate PA based on HCL. Methods: Data from 21,296 farmers and 30,951 spouses in the Agricultural Health Study examined the relationship between HCL and farm activities and individual/farm characteristics. HCL was categorized as = 1 or < 1 hours per day. The association between HCL and farm activities (15 for farmers; 16 for spouses) and individual/farm characteristics was examined using adjusted logistic regression. To evaluate PA, we created a PA activity index using metabolic equivalents for HCL, and compared PA weekly averages with national guidelines. Results: In adjusted results, most farm activities were significantly associated with HCL. Based on HCL, farmers had a median of 1.5 hours and spouses 0.5 hours of vigorous or muscle-strengthening PA per day. Most farmers (94%) and about 60% of spouses meet or exceed 2008 national guidelines for vigorous or muscle-strengthening PA. Conclusion: Findings suggest the HCL measure may be useful as a PA metric in future studies of occupational PA among farm residents. [ABSTRACT FROM AUTHOR]

In-vivo measurements of human brain tissue conductivity at body temperature were conducted using focal electrical currents injected through intracerebral multicontact electrodes. A total of 1,421 measurements in 15 epileptic patients (age: 28 ± 10) using a radiofrequency generator (50 kHz current injection) were analyzed. Each contact pair was classified as being from healthy (gray matter, n = 696; white matter, n = 530) or pathological (epileptogenic zone, n = 195) tissue using neuroimaging analysis of the local tissue environment and intracerebral EEG recordings. Brain tissue conductivities were obtained using numerical simulations based on conductivity estimates that accounted for the current flow in the local brain volume around the contact pairs (a cube with a side length of 13 mm). Conductivity values were 0.26 S/m for gray matter and 0.17 S/m for white matter. Healthy gray and white matter had statistically different median impedances ( P < 0.0001). White matter conductivity was found to be homogeneous as normality tests did not find evidence of multiple subgroups. Gray matter had lower conductivity in healthy tissue than in the epileptogenic zone (0.26 vs. 0.29 S/m; P = 0.012), even when the epileptogenic zone was not visible in the magnetic resonance image (MRI) ( P = 0.005). The present in-vivo conductivity values could serve to create more accurate volume conduction models and could help to refine the identification of relevant intracerebral contacts, especially when located within the epileptogenic zone of an MRI-invisible lesion. Hum Brain Mapp 38:974-986, 2017. © 2016 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]

The mechanisms of perceptual decision-making are frequently studied through measurements of reaction time (RT). Classical sequential-sampling models (SSMs) of decision-making posit RT as the sum of non-overlapping sensory, evidence accumulation, and motor delays. In contrast, recent empirical evidence hints at a continuous-flow paradigm in which multiple motor plans evolve concurrently with the accumulation of sensory evidence. Here we employ a trial-to-trial reliability-based component analysis of encephalographic data acquired during a random-dot motion task to directly image continuous flow in the human brain. We identify three topographically distinct neural sources whose dynamics exhibit contemporaneous ramping to time-of-response, with the rate and duration of ramping discriminating fast and slow responses. Only one of these sources, a parietal component, exhibits dependence on strength-of-evidence. The remaining two components possess topographies consistent with origins in the motor system, and their covariation with RT overlaps in time with the evidence accumulation process. After fitting the behavioral data to a popular SSM, we find that the model decision variable is more closely matched to the combined activity of the three components than to their individual activity. Our results emphasize the role of motor variability in shaping RT distributions on perceptual decision tasks, suggesting that physiologically plausible computational accounts of perceptual decision-making must model the concurrent nature of evidence accumulation and motor planning. [ABSTRACT FROM AUTHOR]

BACKGROUND: Transcranial direct current stimulation (tDCS) enhances treatment outcomes post-stroke. Feasibility and tolerability of high-definition (HD) tDCS (a technique that increases current focality and intensity) for consecutive weekdays as an adjuvant to behavioral treatment in a clinical population has not been demonstrated. OBJECTIVE: To determine HD-tDCS feasibility outcomes: 1) ability to implement study as designed, 2) acceptability of repeated HD-tDCS administration to patients, and 3) preliminary efficacy. METHODS: Eight patients with chronic post-stroke aphasia participated in a randomized crossover trial with two arms: conventional sponge-based (CS) tDCS and HD-tDCS. Computerized anomia treatment was administered for five consecutive days during each treatment arm. RESULTS: Individualized modeling/targeting procedures and an 8-channel HD-tDCS device were developed. CS-tDCS and HD-tDCS were comparable in terms of implementation, acceptability, and outcomes. Naming accuracy and response time improved for both stimulation conditions. Change in accuracy of trained items was numerically higher (but not statistically significant) for HD-tDCS compared to CS-tDCS for most patients. CONCLUSIONS: Regarding feasibility, HD-tDCS treatment studies can be implemented when designed similarly to documented CS-tDCS studies. HD-tDCS is likely to be acceptable to patients and clinicians. Preliminary efficacy data suggest that HD-tDCS effects, using only 4 electrodes, are at least comparable to CS-tDCS. [ABSTRACT FROM AUTHOR]

Measurements of sexual intercourse frequency are informative for research on pregnancy, contraception, and the transmission of sexually transmitted infections; however, efficiently collecting data on this sensitive topic is complex. The purpose of this study was to determine whether retrospective recall of sexual intercourse frequency was consistent with information obtained through the use of prospective daily diary methods corresponding to the same time period in a diverse sample of women. A total of 185 women participated in a longitudinal, prospective cohort study of oral contraceptive users and 98 of these women provided complete information on sexual intercourse frequency on diaries (prospective) and postcards (retrospective). Linear mixed models were used to test for variation in response within categories of demographic and other variables. The mean number of days women had sexual intercourse per week was 1.5 days using prospective diary information versus 2.0 days when using 3-month retrospective recall ( p < 0.001). Mean differences for the various sociodemographic subgroups were positive for all groups indicating that women consistently reported a higher frequency of sexual intercourse on the retrospective postcards than they recorded on their prospective diaries; however, these mean differences did not vary significantly. If confirmed in other samples, the use of retrospective methods may be adequate to accurately collect data on sexual intercourse frequency-and may be preferable. Using only retrospective measurements could decrease study costs, the burden to participants, and have a higher response rate. [ABSTRACT FROM AUTHOR]

Objective: To examine the association between breakfast skipping and physical activity among US adolescents aged 12-19 years.Design: A cross-sectional study of nationally representative 2007-2008 National Health and Nutrition Examination Survey (NHANES) data.Setting: Breakfast skipping was assessed by two 24 h dietary recalls. Physical activity was self-reported by participants and classified based on meeting national recommendations for physical activity for the appropriate age group. Multiple logistic regression analysis was used to model the association between breakfast skipping and physical activity while controlling for confounders.Subjects: A total of 936 adolescents aged 12-19 years in the USA.Results: After adjusting for family income, there was no association between breakfast skipping and meeting physical activity guidelines for age among adolescents aged 12-19 years (OR = 0.95, 95% CI 0.56, 1.32).Conclusions: Findings from the study differ from previous research findings on breakfast skipping and physical activity. Therefore, further research that uses large, nationally representative US samples and national recommended guidelines for physical activity is needed. [ABSTRACT FROM AUTHOR]

ObjectiveTo examine the association between breakfast skipping and physical activity among US adolescents aged 12–19 years.DesignA cross-sectional study of nationally representative 2007–2008 National Health and Nutrition Examination Survey (NHANES) data.SettingBreakfast skipping was assessed by two 24 h dietary recalls. Physical activity was self-reported by participants and classified based on meeting national recommendations for physical activity for the appropriate age group. Multiple logistic regression analysis was used to model the association between breakfast skipping and physical activity while controlling for confounders.SubjectsA total of 936 adolescents aged 12–19 years in the USA.ResultsAfter adjusting for family income, there was no association between breakfast skipping and meeting physical activity guidelines for age among adolescents aged 12–19 years (OR = 0·95, 95 % CI 0·56, 1·32).ConclusionsFindings from the study differ from previous research findings on breakfast skipping and physical activity. Therefore, further research that uses large, nationally representative US samples and national recommended guidelines for physical activity is needed. [ABSTRACT FROM AUTHOR]

This study compared personality risk factors and readiness to change drinking behavior among mandated and volunteer college students. The sample ( N = 583) completed three measures of motivation to change and personality risk factors at baseline, 3 months, and 6 months between 2011 and 2012. Linear mixed models were used to determine an association of continuous outcome variable(s) with covariates over time. Participants in the action stage had lower impulsivity scores. Gender was significant, with females showing the highest anxiety and lowest sensation seeking. The findings indicate a number of future directions to advance innovative alcohol intervention and treatment programs on college campuses. [ABSTRACT FROM AUTHOR]

Introduction: Alcohol consumption and illicit drug use among college students are national public health concerns. Mandated students who have violated campus alcohol policies often are at higher risk for heavy drinking and illicit drug use. Purpose: This longitudinal study compared the effectiveness of the Brief Motivational Intervention (BMI) in decreasing alcohol consumption and illicit drug use, as well as the associated negative consequences among mandated students (Group 1) and voluntary students (Group 2). Methods: Eligible participants (436 voluntary, 147 mandated, N = 583) who agreed to be in the study received the BMI at baseline and again at 2 weeks, with boosters at 3 months and 6 months. Descriptive statistics, frequency tables and summary graphs were used to summarize the study variables in both groups. Results: Alcohol and drug use in both groups decreased between baseline and 6 months, with drug use in the mandated group declining to 10% by 6 months. The consequences, including blackouts, decreased significantly for both groups at baseline and 3 months, and then plateaued at 6 months. Conclusions: The results from this study showed that the BMI was effective in decreasing alcohol consumption and illegal drug use, along with the associated negative consequences, among freshman students and voluntary students who were mandated to attend the program. [ABSTRACT FROM AUTHOR]

Purpose Alcohol and illicit drug abuse is a serious public health issue facing college students. This study examined the impact of motivational interviewing (MI) as an intervention on the rate of blackouts among freshmen who engaged in high-risk drinking and illicit drug use. Design A sample of 188 volunteer freshmen from a university were administered the Daily Drinking Questionnaire, the Rutgers Alcohol Problem Index, and the Government Performance and Results Act at baseline and again at 6 months postintervention. MI was applied at baseline and then again at 2 weeks, 3 months, and 6 months. Methods Generalized estimated equations and logistic regression models were used to determine associations between the rate of blackouts and time, ethnicity, gender, illicit drug use, and alcohol consumption. Findings At 6 months, the rate of blackouts decreased from 40% at baseline to 16% (p < .0001). The average number, time, and days of drinking and frequency of drug use also decreased significantly (p < .0001). An association between rate of blackouts and gender was observed, but not with ethnicity. Conclusions MI had an impact on reducing alcohol consumption and the rate of blackouts among college freshmen who were engaging in high-risk drinking and illicit drug use. Clinical Relevance The findings support the importance of using MI with freshmen college students to decrease drinking and the associated negative consequences, including blackouts, which has particular relevance for advanced practice registered nurses, physicians, and community health nurses who conduct MI as an intervention with college students. [ABSTRACT FROM AUTHOR]

Rational development of transcranial current stimulation (tCS) requires solving the 'forward problem': the computation of the electric field distribution in the head resulting from the application of scalp currents. Derivation of forward models has represented a major effort in brain stimulation research, with model complexity ranging from spherical shells to individualized head models based on magnetic resonance imagery. Despite such effort, an easily accessible benchmark head model is greatly needed when individualized modeling is either undesired (to observe general population trends as opposed to individual differences) or unfeasible. Here, we derive a closed-form linear system which relates the applied current to the induced electric potential. It is shown that in the spherical harmonic (Fourier) domain, a simple scalar multiplication relates the current density on the scalp to the electric potential in the brain. Equivalently, the current density in the head follows as the spherical convolution between the scalp current distribution and the point spread function of the head, which we derive. Thus, if one knows the spherical harmonic representation of the scalp current (i.e. the electrode locations and current intensity to be employed), one can easily compute the resulting electric field at any point inside the head. Conversely, one may also readily determine the scalp current distribution required to generate an arbitrary electric field in the brain (the 'backward problem' in tCS). We demonstrate the simplicity and utility of the model with a series of characteristic curves which sweep across a variety of stimulation parameters: electrode size, depth of stimulation, head size and anode-cathode separation. Finally, theoretically optimal montages for targeting an infinitesimal point in the brain are shown. [ABSTRACT FROM AUTHOR]

Background & Aims: This study investigated high-risk drinking and polydrug use (PU) over 6 months for freshmen college students. Methods: The Brief Alcohol Screening and Intervention for College Students (BASICS) brief motivational interviewing (BMI) intervention was implemented at a public university as a 3-year programme designed to reduce underage drinking among freshmen with a secondary focus on PU. Participants were 299 freshmen from a state-supported university. Participants attended baseline visit, 2-week, 3- and 6-month visits. Analysis: Paired t-tests were used to determine the differences between alcohol consumption at different time points. McNemar's test was used to compare correlated proportions. Results: At the baseline, 30% of the participants were drinking and using illicit drugs, compared with 25% at the sixth month visit. Conclusion: The findings suggest that a decrease in alcohol consumption will also reduce the probability of PU. These findings can assist in developing health professional strategies for effective use of BMI interventions aimed at alcohol and PU. [ABSTRACT FROM AUTHOR]

Recent evidence from functional magnetic resonance imaging suggests that cortical hemodynamic responses coincide in different subjects experiencing a common naturalistic stimulus. Here we utilize neural responses in the electroencephalogram (EEG) evoked by multiple presentations of short film clips to index brain states marked by high levels of correlation within and across subjects. We formulate a novel signal decomposition method which extracts maximally correlated signal components from multiple EEG records. The resulting components capture correlations down to a one-second time resolution, thus revealing that peak correlations of neural activity across viewings can occur in remarkable correspondence with arousing moments of the film. Moreover, a significant reduction in neural correlation occurs upon a second viewing of the film or when the narrative is disrupted by presenting its scenes scrambled in time. We also probe oscillatory brain activity during periods of heightened correlation, and observe during such times a significant increase in the theta band for a frontal component and reductions in the alpha and beta frequency bands for parietal and occipital components. Low-resolution EEG tomography of these components suggests that the correlated neural activity is consistent with sources in the cingulate and orbitofrontal cortices. Put together, these results suggest that the observed synchrony reflects attention- and emotion-modulated cortical processing which may be decoded with high temporal resolution by extracting maximally correlated components of neural activity. [ABSTRACT FROM AUTHOR]

This longitudinal pilot study investigated the effectiveness of a Brief Alcohol Screening and Intervention for College Students (BASICS) Brief Motivational Intervention (BMI) in decreasing the quantity and frequency of high-risk drinking and associated negative consequences for freshmen. The treatment effects of the intervention (n = 110) were obtained using a quasi-experimental design. Alcohol consumption and risk behaviors were assessed for the intervention and the control group. Freshmen students who received the intervention reported a greater decrease in alcohol consumption and negative consequences than freshmen students assigned to the control group. This study supported the effectiveness of the BASICS BMI intervention for freshmen students with high-risk drinking behaviors. This pilot study has implications for the sustainability of the intervention for freshmen students and supports further research for the remaining 2-year intervention program. [ABSTRACT FROM AUTHOR]

This study examined the effectiveness of the Brief Alcohol Screening and Intervention for College Students using theory-driven harm reduction brief motivational interviewing (BMI) for decreasing high-risk drinking and negative consequences. Three surveys were administered to 102 volunteer freshmen college students at baseline and 3 months postintervention. The BMI intervention was administered at baseline and 2 weeks later. Descriptive statistics and summary graphs were used to determine longitudinal changes in drinking quantity, frequency, and negative outcomes. Number of drinks, hours of drinking, and negative consequences decreased, indicating a significant decrease in alcohol consumption and negative consequences. This study contributes valuable implications for the design of theory-driven harm reduction, evidence-based interventions for high-risk drinking among freshmen college students. INSET: KEYPOINTS. [ABSTRACT FROM AUTHOR]

Our society's information technology advancements have resulted in the increasingly problematic issue of information overload--i.e., we have more access to information than we can possibly process. This is nowhere more apparent than in the volume of imagery and video that we can access on a daily basis--for the general public, availability of YouTube video and Google Images, or for the image analysis professional tasked with searching security video or satellite reconnaissance. Which images to look at and how to ensure we see the images that are of most interest to us, begs the question of whether there are smart ways to triage this volume of imagery. Over the past decade, computer vision research has focused on the issue of ranking and indexing imagery. However, computer vision is limited in its ability to identify interesting imagery, particularly as "interesting" might be defined by an individual. In this paper we describe our efforts in developing brain-computer interfaces (BCIs) which synergistically integrate computer vision and human vision so as to construct a system for image triage. Our approach exploits machine learning for real-time decoding of brain signals which are recorded noninvasively via electroencephalography (EEG). The signals we decode are specific for events related to imagery attracting a user's attention. We describe two architectures we have developed for this type of cortically coupled computer vision and discuss potential applications and challenges for the future. [ABSTRACT FROM AUTHOR]

The article discusses a study which investigated the link between rapid eye movement (REM) sleep and the adverse effect of body position in patients with obstructive sleep apnea (OSA). The researchers analyzed overnight polysomnography from 80 sequential patients referred to Buffalo VA Sleep Lab for potential OSA. It was concluded that both sleep stage and body position have significant effects in mild and moderate but not severe OSA.

Endovascular treatment of stroke, a leading cause of death in the United States, involves guidance of devices to the intervention site often through tortuous vessels. Typically, these interventions are performed under two- dimensional (2D) fluoroscopy. To facilitate these procedures, we developed and previously presented a multiple-view self-calibration method involving two steps: (1) calibration of the imaging geometry, and (2) reconstruction of the 3D vessel centerline. Only those 2D angiograms obtained during the procedure are used for reconstruction. In this manuscript, we evaluate this technique on a large set (117 cases) of clinical data obtained over a 12-month period. We evaluated the technique using (1) the RMS difference between the calculated 3D centerlines and the average centerline (before and after application of our method), (2) the difference between the projected 3D centerlines and the 2D indicated centerlines, (3) the translations and rotations calculated by our technique, and (4) intra- and inter-user variations. Our approach (1) reduces the RMS 3D differences by a factor of 10, (2) increases the number of projected 3D centerline points lying within 1 mm of the indicated 2D centerline points by over a factor of 2 (from 28 to 71%), (3) provides an assessment of the variations in the gantry geometry as provided by the imaging system, and (4) is insensitive to user variations in indication (<1 mm differences in 3D are seen). These results indicate that this technique will provide more reliable vessel centerlines in the clinical setting without requiring additional acquisitions or increasing dose to the patient. [ABSTRACT FROM AUTHOR]

Microphone arrays sample the sound field in both space and time with the major objective being the extraction of the signal propagating from a desired direction-of-arrival (DOA). In order to reconstruct a spatial sinusoid from a set of discrete samples, the spatial sampling must occur at a rate greater than a half of the wavelength of the sinusoid. This principle has long been adapted to the microphone array context: in order to form an unambiguous beampattern, the spacing between elements in a microphone array needs to conform to this spatial Nyquist criterion. The implicit assumption behind the narrowband beampattern is that one may use linearity and Fourier analysis to describe the response of the array to an arbitrary wideband plane wave. In this paper, this assumption is analyzed. A formula for the broadband beampattern is derived. It is shown that in order to quantify the spatial filtering abilities of a broadband array, the incoming signal's bifrequency spectrum must be taken into account, particularly for nonstationary signals such as speech. Multi-dimensional Fourier analysis is then employed to derive the broadband spatial transform, which is shown to be the limiting case of the broadband beampattern as the number of sensors tends to infinity. The conditions for aliasing in broadband arrays are then determined by analyzing the effect of computing the broadband spatial transform with a discrete spatial aperture. It is revealed that the spatial Nyquist criterion has little importance for microphone arrays. Finally, simulation results show that the well-known steered response power (SRP) method is formulated with respect to stationary signals, and that modifications are necessary to properly form steered beams in nonstationary signal environments. [ABSTRACT FROM AUTHOR]

Latinos are the largest minority group in the U.S. For Latino immigrants, a shift in migration from larger to smaller cities has recently occurred; the Latino immigrant population in Charlotte, North Carolina, has increased by 634% since 1990. The extent to which immigrants can achieve health and well-being is often related to employment, healthcare access, and social support. This study explored the human, social, and financial capital circumstances of Latino immigrants new to Charlotte and examined the effects of different aspects of capital on health outcomes. Findings indicate that capital is significantly associated with functional status and depression. Implications for social work are discussed. [ABSTRACT FROM AUTHOR]

The removal of noise and interference from an array of received signals is a most fundamental problem in signal processing research. To date, many well-known solutions based on second-order statistics (SOS) have been proposed. This paper views the signal enhancement problem as one of maximizing the mutual information between the source signal and array output. It is shown that if the signal and noise are Gaussian, the maximum mutual information estimation (MMIE) solution is not unique but consists of an infinite set of solutions which encompass the SOS-based optimal filters. The application of the MM1E principle to Laplacian signals is then examined by considering the important problem of estimating a speech signal from a set of noisy observations. It is revealed that while speech (well modeled by a Laplacian distribution) possesses higher order statistics (HOS), the well-known SOS-based optimal filters maximize the Laplacian mutual information as well; that is, the Laplacian mutual information differs from the Gaussian mutual information by a single term whose dependence on the beamforming weights is negligible. Simulation results verify these findings. [ABSTRACT FROM AUTHOR]

The article offers the results of a study on the role of endothelial and inflammation biomarkers in the prediction of type 2 diabetes conducted in New York. The higher levels of high sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6), white blood cell (WBC) and e-selectin increased the risk of the disease. The higher levels of serum albumin and adiponectin reduced the risk of the disease. There were no correllations between the disease and fibrinogen, plasminogen activator inhibitor-1 and soluble intercellular adhesion molecule-1 (sICAM-1).

The number of minimally invasive vascular interventions is increasing. In these interventions, a variety of devices are directed to and placed at the site of intervention. The device used in almost all of these interventions is the guidewire, acting as a monorail for all devices which are delivered to the intervention site. However, even with the guidewire in place, clinicians still experience difficulties during the interventions. As a first step toward understanding these difficulties and facilitating guidewire and device guidance, we have investigated the reproducibility of the final paths of the guidewire in vessel phantom models on different factors: user, materials and geometry. Three vessel phantoms (vessel diameters ∼4 mm) were constructed having tortuousity similar to the internal carotid artery from silicon tubing and encased in Sylgard elastomer. Several trained users repeatedly passed two guidewires of different flexibility through the phantoms under pulsatile flow conditions. After the guidewire had been placed, rotational c-arm image sequences were acquired (9 in. II mode, 0.185 mm pixel size), and the phantom and guidewire were reconstructed (5123, 0.288 mm voxel size). The reconstructed volumes were aligned. The centerlines of the guidewire and the phantom vessel were then determined using region-growing techniques. Guidewire paths appear similar across users but not across materials. The average root mean square difference of the repeated placement was 0.17±0.02 mm (plastic-coated guidewire), 0.73±0.55 mm (steel guidewire) and 1.15±0.65 mm (steel versus plastic-coated). For a given guidewire, these results indicate that the guidewire path is relatively reproducible in shape and position. [ABSTRACT FROM AUTHOR]

The objective of this study is to measure the effectiveness of three commonly used changeable message sign (CMS) messages in reducing vehicular speeds and variances in highway work zones. This paper presents the results of a field study conducted on Interstate-90 in western New York State to evaluate the use of three different types of messages displayed on a CMS, as a speed control measure. The study included speed measurements of nearly 180,000 vehicles. The three types of CMS messages tested were: (1) RIGHT|LANE|CLOSED∼KEEP|LEFT; (2) WORK ZONE|MAX SPEED|45 MPH∼BE|PREPARED|TO STOP; and (3) LEFT|LANE|CLOSED∼KEEP|RIGHT. Of the three CMS messages tested, the CMS message stating “WORK ZONE|MAX SPEED|45 MPH∼BE|PREPARED|TO STOP” proved the most effective, significantly reducing vehicle speeds by 3.3–6.7 mi/h(5.3–10.8 km/h). The other two CMS messages were not as effective. The standard deviation of speed for the CMS message: WORK ZONE|MAX SPEED|45 MPH∼BE|PREPARED|TO STOP increased by 1.1–1.7 mi/h(1.8–2.7 km/h) in the driving lane and 0.2–2.0 mi/h(0.3–3.2 km/h) in the passing lane. The speed variances for the other two CMS messages ranged from -2.00 to 1.13 mi/h (from -3.23 km/h to 1.83 km/h). [ABSTRACT FROM AUTHOR]

The process of locating an acoustic source given measurements of the sound field at multiple microphones is of significant interest as both a classical array signal processing problem, and more recently, as a solution to the problems of automatic camera steering, teleconferencing, hands-free processing, and others. Despite the proven efficacy of steered-beamformer approaches to localization in harsh conditions, their practical application to real-time settings is hindered by undesirably high computational demands. This paper presents a computationally viable implementation of the steered response power (SRP) source localization method. The conventional approach is generalized by introducing an inverse mapping that maps relative delays to sets of candidate locations. Instead of traversing the three-dimensional location space, the one-dimensional relative delay space is traversed; at each lag, all locations which are inverse mapped by that delay are updated. This means that the computation of the SRP map is no longer performed sequentially in space. Most importantly, by subsetting the space of relative delays to only those that achieve a high level of cross-correlation, the required number of algorithm updates is drastically reduced without compromising localization accuracy. The generalization is scalable in the sense that the level of subsetting is an algorithm parameter. It is shown that this generalization may be viewed as a spatial decomposition of the SRP energy map into weighted basis functions--in this context, it becomes evident that the full SRP search considers all basis functions (even the ones with very low weighting). On the other hand, it is shown that by only including a few basis functions per microphone pair, the SRP map is quite accurately represented. As a result, in a real environment, the proposed generalization achieves virtually the same anomaly rate as the full SRP search while only performing 10% the amount of algorithm updates as the full search. [ABSTRACT FROM AUTHOR]

OBJECTIVE -- We conducted a nested case-control investigation to examine whether elevated baseline concentrations of cystatin C predicted progression from normoglycemia to prediabetes over 6 years of follow-up from the Western New York Health Study. RESEARCH DESIGN AND METHODS -- In 2002-2004, 1,455 participants from the Western New York Health Study, who were free of type 2 diabetes and known cardiovascular disease at baseline (1996-2001), were reexamined. An incident case of pre-diabetes was defined as an individual with fasting glucose <100 mg/dl at the baseline examination and ≥l00 and ≤125 mg/dl at the follow-up examination, thereby eliminating individuals with prevalent pre-diabetics. All case patients (n = 91) were matched 1:3 to control participants based on sex, race/ethnicity, and year of study enrollment. All control subjects had fasting glucose levels < 100 mg/dl at both baseline and follow-up examinations. Cystatin C concentrations and the urinary albumin-to-creatinine ratio were measured from frozen (-196°C) baseline blood and urine samples. Serum creatinine concentrations were available from the baseline examination only. RESULTS -- Multivariate conditional logistic regression analyses adjusted for age, baseline glucose level, homeostasis model assessment of insulin resistance, BMI, hypertension, estimated glomerular filtration rate, cigarette smoking, and alcohol use revealed a significantly increased risk of progression to pre-diabetes among those with elevated baseline concentrations of cystatin C (odds ratio 3.28 [95% CI 1.43-7.54]) (upper quintile versus the remainder). Results of secondary analyses that considered high-sensitivity C-reactive protein, interleukin-6, E-selectin, or soluble intercellular adhesion molecule-1 did not alter these results. CONCLUSIONS -- These results suggest that cystatin C was associated with a threefold excess risk of progression to pre-diabetes in this population. [ABSTRACT FROM AUTHOR]

The estimation of the direction-of-arrival (DOA) of one or more acoustic sources is an area that has generated much interest in recent years, with applications like automatic video camera steering and multiparty stereophonic teleconferencing entering the market. DOA estimation algorithms are hindered by the effects of background noise and reverberation. Methods based on the time-differences-of-arrival (TDOA) are commonly used to determine the azimuth angle of arrival of an acoustic source. TDOA-based methods compute each relative delay using only two microphones, even though additional microphones are usually available. This paper deals with DOA estimation based on spatial spectral estimation, and establishes the parameterized spatial correlation matrix as the framework for this class of DOA estimators. This matrix jointly takes into account all pairs of microphones, and is at the heart of several broadband spatial spectral estimators, including steered-response power (SRP) algorithms. This paper reviews and evaluates these broadband spatial spectral estimators, comparing their performance to TDOA-based Iocators. In addition, an eigenanalysis of the parameterized spatial correlation matrix is performed and reveals that such analysis allows one to estimate the channel attenuation from factors such as uncalibrated microphones. This estimate generalizes the broadband minimum variance spatial spectral estimator to more general signal models. A DOA estimator based on the multichannel cross correlation coefficient (MCCC) is also proposed. The performance of all proposed algorithms is included in the evaluation. It is shown that adding extra microphones helps combat the effects of background noise and reverberation. Furthermore, the link between accurate spatial spectral estimation and corresponding DOA estimation is investigated. The application of the minimum variance and MCCC methods to the spatial spectral estimation problem leads to better resolution than that of the commonly used fixed-weighted SRP spectrum. However, this increased spatial spectral resolution does not always translate to more accurate DOA estimation. [ABSTRACT FROM AUTHOR]

Although many microphone-array beamforming algorithms have been developed over the past few decades, most such algorithms so far can only offer limited performance in practical acoustic environments. The reason behind this has not been fully understood and further research on this matter is indispensable. In this paper, we treat a microphone array as a multiple-input multiple-output (MIMO) system and study its signal-enhancement performance. Our major contribution is fourfold. First, we develop a general framework for analyzing performance of beamforming algorithms based on the acoustic MIMO channel impulse responses. Second, we study the bounds for the length of the beamforming filler, which in turn shows the performance bounds of beamforming in terms of speech dereverberation and interference suppression. Third, we address the connection between beamforming and the multiple-input/output inverse theorem (MINT). Finally, we discuss the intrinsic relationships among different classical beamforming techniques and explain, from the channel condition perspective, what the prerequisites are for those techniques to work. [ABSTRACT FROM AUTHOR]

OBJECTIVE -- We examined whether biomarkers of endothelial function, fibrinolysis/thrombosis and adiponectin, predict the progression from normal to pre-diabetes more strongly among women than men over 6 years of follow-up from the Western New York Health Study. RESEARCH DESIGN AND METHODS -- In 2002-2004, 1,455 participants from the Western New York Health Study, who were free of type 2 diabetes and cardiovascular disease at baseline (1996-2001), were selected for reexamination. An incident case of pre-diabetes was defined as fasting glucose <100 mg/dl at the baseline examination and ≥100 and <126 mg/dl at the follow-up examination. Biomarkers of endothelial function (E-selectin and soluble intracellular adhesion molecule-1 [sICAM-1]), fibrinolysis/thrombosis (plasminogen activator inhibitor-1 [PAI-1]), and fasting insulin, adiponectin, and inflammation (high-sensitivity C-reactive protein) were measured in frozen (-190°C) baseline samples. RESULTS -- Multivariate analyses revealed higher adjusted mean values of biomarkers of endothelial dysfunction (E-selectin and sICAM-1) and fibrinolysis (PAI-1) and lower mean values of adiponectin only among women who developed pre-diabetes compared with control subjects. Formal tests for interaction between sex and case/control status were statistically significant for E-selectin (P = 0.042), PAI-1 (P = 0.001), sICAM-1 (P = 0.011), and frequency of hypertension (P < 0.001). CONCLUSIONS -- These results support the concept that women who progressed from normoglycemia to pre-diabetes have greater endothelial dysfunction than men as well as more hypertension and a greater degree of fibrinolysis/thrombosis. Whether this relates to the higher risk of heart disease among diabetic women awaits further study. [ABSTRACT FROM AUTHOR]