Publications by authors named "ARON E"

Summary: With the increased reliance on multi-omics data for bulk and single cell analyses, the availability of robust approaches to perform unsupervised learning for clustering, visualization, and feature selection is imperative. We introduce nipalsMCIA, an implementation of multiple co-inertia analysis (MCIA) for joint dimensionality reduction that solves the objective function using an extension to Non-linear Iterative Partial Least Squares (NIPALS). We applied nipalsMCIA to both bulk and single cell datasets and observed significant speed-up over other implementations for data with a large sample size and/or feature dimension.

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This study investigated the psychometric properties of the Highly Sensitive Child-Rating System (HSC-RS), the existence of sensitivity groups, and the characterization of sensitivity at behavioral, genetic, and physiological levels in 541 preschoolers (() = 3.56(0.27); 45%male; 87%Caucasian).

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Parent-child interaction therapy (PCIT) is a highly efficacious, evidence-based treatment for children with disruptive behaviors and their families. PCIT is a dyadic therapy designed to improve parent-child relationships and decrease children's behavioral problems. PCIT research specific to Black families is currently sparse.

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Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) is a valuable experimental tool to study the immune state in health and following immune challenges such as infectious diseases, (auto)immune diseases, and cancer. Several tools have been developed to reconstruct B cell and T cell receptor sequences from AIRR-seq data and infer B and T cell clonal relationships. However, currently available tools offer limited parallelization across samples, scalability or portability to high-performance computing infrastructures.

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Motivation: With the increased reliance on multi-omics data for bulk and single cell analyses, the availability of robust approaches to perform unsupervised analysis for clustering, visualization, and feature selection is imperative. Joint dimensionality reduction methods can be applied to multi-omics datasets to derive a global sample embedding analogous to single-omic techniques such as Principal Components Analysis (PCA). Multiple co-inertia analysis (MCIA) is a method for joint dimensionality reduction that maximizes the covariance between block- and global-level embeddings.

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This article underscores the critical importance of addressing mental health during infancy and early childhood through a multigenerational, multicultural, community-centered approach. It highlights the unique vulnerability of this period to environmental factors and emphasizes the interconnectedness of caregiver and child mental health. The article advocates for interventions that extend beyond clinical settings, recognizing the value of community involvement and the need to address social determinants of health.

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Inscribed on the Statue of Liberty, Emma Lazarus's poem, The New Colossus, helped shape the image of the United States as a country compassionate toward the needs of those who emigrated to its shores. The United States has more immigrants than any other country in the world, estimated at more than 40 million people. Roughly 18 million children in the United States have at least 1 immigrant parent.

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Motivation: Predictive biological signatures provide utility as biomarkers for disease diagnosis and prognosis, as well as prediction of responses to vaccination or therapy. These signatures are identified from high-throughput profiling assays through a combination of dimensionality reduction and machine learning techniques. The genes, proteins, metabolites, and other biological analytes that compose signatures also generate hypotheses on the underlying mechanisms driving biological responses, thus improving biological understanding.

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Asthma is a major non-communicable disease. It affects both children and adults, but is the most common chronic condition among the former. While inhaled controller drugs stabilize the disease in most asthma patients, there are a certain number of people who suffer from severe asthma, which requires treatment escalation.

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Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) is a valuable experimental tool to study the immune state in health and following immune challenges such as infectious diseases, (auto)immune diseases, and cancer. Several tools have been developed to reconstruct B cell and T cell receptor sequences from AIRR-seq data and infer B and T cell clonal relationships. However, currently available tools offer limited parallelization across samples, scalability or portability to high-performance computing infrastructures.

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Sensory processing sensitivity (SPS) is a biological/temperament trait that is associated with greater awareness of and reactivity to the environment, which results in amplified responses to various stimuli, and possibly medications. We investigated the relationship between SPS and medication sensitivity in three studies. Participants (ages 18-81) were recruited from university (Study 1: = 125; Study 2: = 214) and online (Study 3: = 351) samples.

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Motivation: Predictive biological signatures provide utility as biomarkers for disease diagnosis and prognosis, as well as prediction of responses to vaccination or therapy. These signatures are iden-tified from high-throughput profiling assays through a combination of dimensionality reduction and machine learning techniques. The genes, proteins, metabolites, and other biological analytes that compose signatures also generate hypotheses on the underlying mechanisms driving biological responses, thus improving biological understanding.

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Previous research using functional MRI identified brain regions associated with sensory processing sensitivity (SPS), a proposed normal phenotype trait. To further validate SPS, to characterize it anatomically, and to test the usefulness in psychology of methodologies that assess axonal properties, the present study correlated SPS proxy questionnaire scores (adjusted for neuroticism) with diffusion tensor imaging (DTI) measures. Participants (n = 408) from the Human Connectome Project were studied.

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Some children are more affected than others by their upbringing due to their increased sensitivity to the environment. More sensitive children are at heightened risk for the development of internalizing problems, particularly when experiencing unsupportive parenting. However, little is known about how the interplay between children's sensitivity and parenting leads to higher levels of depressive symptoms.

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Background: Sensory processing sensitivity (SPS) is a biologically based temperament trait associated with enhanced awareness and responsivity to environmental and social stimuli. Individuals with high SPS are more affected by their environments, which may result in overarousal, cognitive depletion, and fatigue.

Method: We examined individual differences in resting-state (rs) brain connectivity (using functional MRI) as a function of SPS among a group of adults (M age = 66.

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Ideally, schools are learning environments that promote intellectual growth while nurturing healthy social and emotional development. Schools are also a microcosm of the bigger world in which students live, mirroring the best and worst of our society, including the debility of systemic racism. One way in which this inequity is perpetuated within schools is through exclusionary discipline practices, and the disproportionate impact these practices have on Black and multiracial Black children, as well as on single-parent families.

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According to several developmental theories some children are more sensitive to the quality of their environment than others, but most supporting empirical evidence is based on relatively distal markers of hypothesized sensitivity. This study provides evidence for the validity of behaviorally observed Environmental Sensitivity as a moderator of parenting effects on children's early development in a sample of 292 children (Mage = 3.74; SD = 0.

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Child psychiatrists should play an active role in helping parents and children to develop healthy media use habits and can introduce uses of technology including mobile applications and telepsychiatry to enhance clinical care. Strength-based approaches in clinical assessment and treatment build patient and family engagement and enhance outcomes in child psychiatry. Focusing on supporting youths' strengths and enhancing emotional and behavioral well-being are critical strategies for child psychiatrists working in consultation with schools and other community settings, and in advocating for optimal environments for children and families.

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Sensory Processing Sensitivity (SPS) is a common, heritable and evolutionarily conserved trait describing inter-individual differences in sensitivity to both negative and positive environments. Despite societal interest in SPS, scientific knowledge is lagging behind. Here, we critically discuss how SPS relates to other theories, how to measure SPS, whether SPS is a continuous vs categorical trait, its relation to other temperament and personality traits, the underlying aetiology and neurobiological mechanisms, and relations to both typical and atypical development, including mental and sensory disorders.

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During the past decade, research on the biological basis of sensory processing sensitivity (SPS)-a genetically based trait associated with greater sensitivity and responsivity to environmental and social stimuli-has burgeoned. As researchers try to characterize this trait, it is still unclear how SPS is distinct from seemingly related clinical disorders that have overlapping symptoms, such as sensitivity to the environment and hyper-responsiveness to incoming stimuli. Thus, in this review, we compare the neural regions implicated in SPS with those found in fMRI studies of-Autism Spectrum Disorder (ASD), Schizophrenia (SZ) and Post-Traumatic Stress Disorder (PTSD) to elucidate the neural markers and cardinal features of SPS versus these seemingly related clinical disorders.

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According to empirical studies and recent theories, people differ substantially in their reactivity or sensitivity to environmental influences with some being generally more affected than others. More sensitive individuals have been described as orchids and less-sensitive ones as dandelions. Applying a data-driven approach, we explored the existence of sensitivity groups in a sample of 906 adults who completed the highly sensitive person (HSP) scale.

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