Sleep spindles are critical in characterizing sleep and have been associated with cognitive function and pathophysiological assessment. Typically, their detection relies on the subjective and time-consuming visual examination of electroencephalogram (EEG) signal(s) by experts, and has led to large inter-rater variability as a result of poor definition of sleep spindle characteristics. Hitherto, many algorithmic spindle detectors inherently make signal stationarity assumptions (e.g., Fourier transform-based approaches) which are inappropriate for EEG signals, and frequently rely on additional information which may not be readily available in many practical settings (e.g., more than one EEG channels, or prior hypnogram assessment). This study proposes a novel signal processing methodology relying solely on a single EEG channel, and provides objective, accurate means toward probabilistically assessing the presence of sleep spindles in EEG signals. We use the intuitively appealing continuous wavelet transform (CWT) with a Morlet basis function, identifying regions of interest where the power of the CWT coefficients corresponding to the frequencies of spindles (11–16 Hz) is large. The potential for assessing the signal segment as a spindle is refined using local weighted smoothing techniques. We evaluate our findings on two databases: the MASS database comprising 19 healthy controls and the DREAMS sleep spindle database comprising eight participants diagnosed with various sleep pathologies. We demonstrate that we can replicate the experts’ sleep spindles assessment accurately in both databases (MASS database: sensitivity: 84%, specificity: 90%, false discovery rate 83%, DREAMS database: sensitivity: 76%, specificity: 92%, false discovery rate: 67%), outperforming six competing automatic sleep spindle detection algorithms in terms of correctly replicating the experts’ assessment of detected spindles.
by
Laura Schreibman;
Geraldine Dawson;
Aubyn C. Stahmer;
Rebecca Landa;
Sally J. Rogers;
Gail McGee;
Connie Kasari;
Brooke Ingersoll;
Ann P. Kaiser;
Yvonne Bruinsma;
Erin McNerney;
Amy Wetherby;
Alycia Halladay
Earlier autism diagnosis, the importance of early intervention, and development of specific interventions for young children have contributed to the emergence of similar, empirically supported, autism interventions that represent the merging of applied behavioral and developmental sciences. “Naturalistic Developmental Behavioral Interventions (NDBI)” are implemented in natural settings, involve shared control between child and therapist, utilize natural contingencies, and use a variety of behavioral strategies to teach developmentally appropriate and prerequisite skills. We describe the development of NDBIs, their theoretical bases, empirical support, requisite characteristics, common features, and suggest future research needs. We wish to bring parsimony to a field that includes interventions with different names but common features thus improving understanding and choice-making among families, service providers and referring agencies.
Although kindness-based contemplative practices are increasingly employed by clinicians and cognitive researchers to enhance prosocial emotions, social cognitive skills, and well-being, and as a tool to understand the basic workings of the social mind, we lack a coherent theoretical model with which to test the mechanisms by which kindness-based meditation may alter the brain and body. Here, we link contemplative accounts of compassion and loving-kindness practices with research from social cognitive neuroscience and social psychology to generate predictions about how diverse practices may alter brain structure and function and related aspects of social cognition. Contingent on the nuances of the practice, kindness-based meditation may enhance the neural systems related to faster and more basic perceptual or motor simulation processes, simulation of another's affective body state, slower and higher-level perspective-taking, modulatory processes such as emotion regulation and self/other discrimination, and combinations thereof. This theoretical model will be discussed alongside best practices for testing such a model and potential implications and applications of future work.
This special issue of the Journal of Autism and Developmental Disorders focuses on the contributions of psychophysiological research to scientific understanding of autism spectrum disorder (ASD). The past decade has brought considerable advances in the application of psychophysiology for examining mechanisms of function and dysfunction in ASD. These insights span the range of behaviors affected, including social communication, restricted and repetitive behaviors, sensory processing, and cognition. Psychophysiological methods hold promise to offer key insights into autism by elucidating the biological underpinnings of behavior, by informing clinical understanding through more nuanced characterization of the phenotype, and by guiding intervention via describing treatment targets, predicting response to intervention, and measuring outcomes. The current issue reflects the breadth and depth of these approaches to ASD by presenting in a single volume a range manuscripts employing electrophysiology, electromyography, cardiac measures, magnetoencephalography, and electrodermal response. The studies described in this special issue address scientific questions related to social perception, sensory attention, interpersonal responsivity, social ability, memory, language, and other areas, and the populations involved in this work range from infants to adults with ASD, typical development, and other neurodevelopmental disorders such as tuberous sclerosis and ADHD. The adoption of and enthusiasm for these techniques by ASD researchers is evident in the overwhelming response to our call for papers. A competitive review process yielded 25 outstanding manuscripts, representing the state of the science in psychophysiological ASD research. We are grateful to the editorial staff at Springer for embracing this enthusiasm and kicking off 2015 with publication of this “super issue” that exceeds standard limits for special issues or sections.
Previous studies report associations between conception with assisted reproductive technology (ART) and autism. Whether these associations reflect an ascertainment or biologic effect is undetermined. We assessed diagnosis age and initial autism symptom severity among >30,000 children with autism from a linkage study of California Department of Developmental Services records, birth records, and the National ART Surveillance System. Median diagnosis age and symptom severity levels were significantly lower for ART-conceived than non-ART-conceived children. After adjustment for differences in the socio-demographic profiles of the two groups, the diagnosis age differentials were greatly attenuated and there were no differences in autism symptomatology. Thus, ascertainment issues related to SES, not ART per se, are likely the driving influence of the differences we initially observed.
Oxytocin modulates many aspects of social cognition and behaviors, including maternal nurturing, social recognition and bonding. Natural variation in oxytocin receptor (OXTR) density in the nucleus accumbens (NAcc) is associated with variation in alloparental behavior, and artificially enhancing OXTR expression in the NAcc enhances alloparental behavior and pair bonding in socially monogamous prairie voles. Furthermore, infusion of an OXTR antagonist into the NAcc inhibits alloparental behavior and partner preference formation. However, antagonists can promiscuously interact with other neuropeptide receptors. To directly examine the role of OXTR signaling in social bonding, we used RNA interference to selectively knockdown, but not eliminate, OXTR in the NAcc of female prairie voles and examined the impact on social behaviors. Using an adeno-associated viral vector expressing a short hairpin RNA (shRNA) targeting Oxtr mRNA, we reduced accumbal OXTR density in female prairie voles from juvenile age through adulthood. Females receiving the shRNA vector displayed a significant reduction in alloparental behavior and disrupted partner preference formation. These are the first direct demonstrations that OXTR plays a critical role in alloparental behavior and adult social attachment, and suggest that natural variation in OXTR expression in this region alone can create variation in social behavior.
Purpose: Guidelines for optimal transition call for multidisciplinary teams, including psychologists, to address youth and young adults’ multifactorial needs. This study aimed to characterize psychologists’ roles in and barriers to involvement in transition from pediatric to adult healthcare.
Methods: Psychologists were invited via professional listservs to complete an online survey about practice settings, roles in transition programming, barriers to involvement, and funding sources. Participants also responded to open-ended questions about their experiences in transition programs.
Results: One hundred participants responded to the survey. Involvement in transition was reported at multiple levels from individual patient care to institutional transition programming, and 65% reported more than one level of involvement. Direct clinical care (88%), transition-related research (50%) and/or leadership (44%) involvement were reported, with 59% reporting more than one role. Respondents often described advocating for their involvement on transition teams. Various sources of funding were reported, yet 23% reported no funding for their work. Barriers to work in transition were common and included healthcare systems issues such as poor coordination among providers or lack of a clear transition plan within the clinic/institution.
Conclusions: Psychologists assume numerous roles in the transition of adolescents from pediatric to adult healthcare. With training in healthcare transition-related issues, psychologists are ideally positioned to partner with other health professionals to develop and implement transition programs in multi-disciplinary settings, provided healthcare system barriers can be overcome.
Posttraumatic stress disorder (PTSD) symptoms can result in functional impairment among service members (SMs), even in those without a clinical diagnosis. The variability in outcomes may be related to underlying catecholamine mechanisms. Individuals with PTSD tend to have elevated basal catecholamine levels, though less is known regarding catecholamine responses to trauma-related stimuli. We assessed whether catecholamine responses to a virtual combat environment impact the relationship between PTSD symptom clusters and elements of functioning. Eighty-seven clinically healthy SMs, within 2 months after deployment to Iraq or Afghanistan, completed self-report measures, viewed virtual-reality (VR) combat sequences, and had sequential blood draws. Norepinephrine responses to VR combat exposure moderated the relationship between avoidance symptoms and scales of functioning including physical functioning, physical-role functioning, and vitality. Among those with high levels of avoidance, norepinephrine change was inversely associated with functional status, whereas a positive correlation was observed for those with low levels of avoidance. Our findings represent a novel use of a virtual environment to display combat-related stimuli to returning SMs to elucidate mind-body connections inherent in their responses. The insight gained improves our understanding of post-deployment symptoms and quality of life in SMs and may facilitate enhancements in treatment. Further research is needed to validate these findings in other populations and to define the implications for treatment effectiveness.
Risk factors for adolescent perpetration of or victimization by dating violence stem from different levels of adolescents’ social ecologies, including the family, individual, and peer domains. However, these multiple risk factors have not been fully integrated into a single comprehensive model of dating violence development. The present study examined prospective links between exposure to family violence in pre-adolescence; pro-violent beliefs, aggression, deviant peer affiliation, and aggression toward opposite-sex peers in early adolescence and dating violence in late adolescence. Using a longitudinal study of 461 youth (51 % female; 80 % African American, 19 % Caucasian, 1 % other ethnicities), path modeling evaluated a theoretically developed dual pathway model involving a general violence pathway and an early romantic aggression pathway. Each pathway links exposure to family violence in pre-adolescence with early adolescent pro-violent beliefs and/or aggressive behavior. In both pathways, pro-violent beliefs may reinforce aggressive behaviors between same-sex and opposite-sex peers, as well as strengthen bonds with deviant peers. In the last part of both pathways, aggressive behavior and peer deviance in early adolescence may contribute directly to late adolescent dating violence perpetration and victimization. The findings provided support for both pathways, as well as sex differences in the model.
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Recent evidence suggests that grammatical aspect can bias how individuals perceive criminal intentionality during discourse comprehension. Given that criminal intentionality is a common criterion for legal definitions (e.g., first-degree murder), the present study explored whether grammatical aspect may also impact legal judgments. In a series of four experiments participants were provided with a legal definition and a description of a crime in which the grammatical aspect of provocation and murder events were manipulated. Participants were asked to make a decision (first- vs. second-degree murder) and then indicate factors that impacted their decision. Findings suggest that legal judgments can be affected by grammatical aspect but the most robust effects were limited to temporal dynamics (i.e., imperfective aspect results in more murder actions than perfective aspect), which may in turn influence other representational systems (i.e., number of murder actions positively predicts perceived intentionality). In addition, findings demonstrate that the influence of grammatical aspect on situation model construction and evaluation is dependent upon the larger linguistic and semantic context. Together, the results suggest grammatical aspect has indirect influences on legal judgments to the extent that variability in aspect changes the features of the situation model that align with criteria for making legal judgments.